Articles | Volume 15, issue 12
https://doi.org/10.5194/bg-15-3811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-3811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jun 2018
Research article |
| 22 Jun 2018
| 22 Jun 2018
Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning
Tommaso Jucker
Forest Ecology and Conservation group, Department of Plant Sciences,
University of Cambridge, Cambridge CB2 3EA, UK
CSIRO Land and Water, 147 Underwood Avenue, Floreat, 6014, Western
Australia, Australia
Gregory P. Asner
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Michele Dalponte
Department of Sustainable Agro-ecosystems and Bioresources, Research
and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38010 San Michele
all'Adige, Italy
Philip G. Brodrick
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Christopher D. Philipson
Department of Environmental Systems Science, ETH Zürich,
Universitätstrasse 16, 8092 Zürich, Switzerland
Centre for Environmental Change and Human Resilience, University of
Dundee, Dundee DD1 4HN, UK
Nicholas R. Vaughn
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Yit Arn Teh
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Craig Brelsford
Department of Biosciences, Viikki Plant Science Center (ViPS),
University of Helsinki, 00014 Helsinki, Finland
David F. R. P. Burslem
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Nicolas J. Deere
Durrell Institute of Conservation and Ecology (DICE), School of
Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
Robert M. Ewers
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
Jakub Kvasnica
Faculty of Forestry and Wood Technology, Department of Forest Botany,
Dendrology and Geobiocoenology, Mendel University, Brno, Czech Republic
Simon L. Lewis
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Department of Geography, University College London, London WC1E 6BT,
UK
Yadvinder Malhi
Environmental Change Institute, School of Geography and the
Environment, University of Oxford, Oxford OX1 3QY, UK
Sol Milne
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Reuben Nilus
Forest Research Centre, Sabah Forestry Department, P.O. Box 1407,
90715 Sandakan, Sabah, Malaysia
Marion Pfeifer
School of Biology, Newcastle University, Newcastle NE1 7RU, UK
Oliver L. Phillips
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Lan Qie
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Nathan Renneboog
Permian Global, Savoy Hill House, 7-10 Savoy Hill, London WC2R 0BU,
UK
Glen Reynolds
South East Asia Rainforest Research Partnership (SEARRP), Danum
Valley Field Centre, P.O. Box 60282, 91112 Lahad Datu, Sabah, Malaysia
Terhi Riutta
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
Environmental Change Institute, School of Geography and the
Environment, University of Oxford, Oxford OX1 3QY, UK
Matthew J. Struebig
Durrell Institute of Conservation and Ecology (DICE), School of
Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
Martin Svátek
Faculty of Forestry and Wood Technology, Department of Forest Botany,
Dendrology and Geobiocoenology, Mendel University, Brno, Czech Republic
Edgar C. Turner
Department of Zoology, University of Cambridge, Downing Street,
Cambridge CB2 3EJ, UK
Forest Ecology and Conservation group, Department of Plant Sciences,
University of Cambridge, Cambridge CB2 3EA, UK
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2118, https://doi.org/10.5194/egusphere-2024-2118, 2024
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The 2015–2016 El Niño caused severe droughts in tropical forests, but its impact on the Cerrado, largest savanna, was unclear. Our study tracked the productivity of two key Cerrado vegetation types over five years. Before El Niño, productivity was higher in the transitional forest-savanna, but it dropped sharply during the event. Meanwhile, the savanna showed minor changes. These findings suggest that transitional ecosystems are particularly vulnerable to drought and climate change.
Adrià Descals, Serge Wich, Zoltan Szantoi, Matthew J. Struebig, Rona Dennis, Zoe Hatton, Thina Ariffin, Nabillah Unus, David L. A. Gaveau, and Erik Meijaard
Earth Syst. Sci. Data, 15, 3991–4010, https://doi.org/10.5194/essd-15-3991-2023, https://doi.org/10.5194/essd-15-3991-2023, 2023
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The spatial extent of coconut palm is understudied despite its increasing demand and associated impacts. We present the first global coconut palm layer at 20 m resolution. The layer was produced using deep learning and remotely sensed data. The global coconut area estimate is 12.31 Mha for dense coconut palm, but the estimate is 3 times larger when sparse coconut palm is considered. This means that coconut production can likely increase on the lands currently allocated to coconut palm.
Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, and Yadvinder Malhi
Biogeosciences, 19, 3649–3661, https://doi.org/10.5194/bg-19-3649-2022, https://doi.org/10.5194/bg-19-3649-2022, 2022
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We investigated dynamic nutrient flow and demand in a typical savanna and a transition forest to understand how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Savanna relied on nutrient resorption from wood, and nutrient demand was equally partitioned between leaves, wood and fine roots. Transition forest relied on resorption from the canopy biomass and nutrient demand was predominantly driven by leaves.
Selena Georgiou, Edward T. A. Mitchard, Bart Crezee, Paul I. Palmer, Greta C. Dargie, Sofie Sjögersten, Corneille E. N. Ewango, Ovide B. Emba, Joseph T. Kanyama, Pierre Bola, Jean-Bosco N. Ndjango, Nicholas T. Girkin, Yannick E. Bocko, Suspense A. Ifo, and Simon L. Lewis
EGUsphere, https://doi.org/10.5194/egusphere-2022-580, https://doi.org/10.5194/egusphere-2022-580, 2022
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Two major vegetation types, hardwood trees and palms, overlay the Central Congo Basin peatland complex, each dominant in different locations. We investigated the influence of terrain and climatological variables on their distribution, using a regression model, and found elevation and seasonal rainfall and temperature contribute significantly. There are indications of an optimal range of net water input for palm swamp to dominate, above and below which hardwood swamp dominates.
Félicien Meunier, Sruthi M. Krishna Moorthy, Marc Peaucelle, Kim Calders, Louise Terryn, Wim Verbruggen, Chang Liu, Ninni Saarinen, Niall Origo, Joanne Nightingale, Mathias Disney, Yadvinder Malhi, and Hans Verbeeck
Geosci. Model Dev., 15, 4783–4803, https://doi.org/10.5194/gmd-15-4783-2022, https://doi.org/10.5194/gmd-15-4783-2022, 2022
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We integrated state-of-the-art observations of the structure of the vegetation in a temperate forest to constrain a vegetation model that aims to reproduce such an ecosystem in silico. We showed that the use of this information helps to constrain the model structure, its critical parameters, as well as its initial state. This research confirms the critical importance of the representation of the vegetation structure in vegetation models and proposes a method to overcome this challenge.
Rahayu Adzhar, Douglas I. Kelley, Ning Dong, Charles George, Mireia Torello Raventos, Elmar Veenendaal, Ted R. Feldpausch, Oliver L. Phillips, Simon L. Lewis, Bonaventure Sonké, Herman Taedoumg, Beatriz Schwantes Marimon, Tomas Domingues, Luzmila Arroyo, Gloria Djagbletey, Gustavo Saiz, and France Gerard
Biogeosciences, 19, 1377–1394, https://doi.org/10.5194/bg-19-1377-2022, https://doi.org/10.5194/bg-19-1377-2022, 2022
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The MODIS Vegetation Continuous Fields (VCF) product underestimates tree cover compared to field data and could be underestimating tree cover significantly across the tropics. VCF is used to represent land cover or validate model performance in many land surface and global vegetation models and to train finer-scaled Earth observation products. Because underestimation in VCF may render it unsuitable for training data and bias model predictions, it should be calibrated before use in the tropics.
Renée Hermans, Rebecca McKenzie, Roxane Andersen, Yit Arn Teh, Neil Cowie, and Jens-Arne Subke
Biogeosciences, 19, 313–327, https://doi.org/10.5194/bg-19-313-2022, https://doi.org/10.5194/bg-19-313-2022, 2022
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Peatlands are a significant global carbon store, which can be compromised by drainage and afforestation. We measured the peat decomposition under a 30-year-old drained forest plantation: 115 ± 16 g C m−2 yr−1, ca. 40 % of total soil respiration. Considering input of litter from trees, our results indicate that the soils in these 30-year-old drained and afforested peatlands are a net sink for C, since substantially more C enters the soil as organic matter than is decomposed heterotrophically.
Toby D. Jackson, Sarab Sethi, Ebba Dellwik, Nikolas Angelou, Amanda Bunce, Tim van Emmerik, Marine Duperat, Jean-Claude Ruel, Axel Wellpott, Skip Van Bloem, Alexis Achim, Brian Kane, Dominick M. Ciruzzi, Steven P. Loheide II, Ken James, Daniel Burcham, John Moore, Dirk Schindler, Sven Kolbe, Kilian Wiegmann, Mark Rudnicki, Victor J. Lieffers, John Selker, Andrew V. Gougherty, Tim Newson, Andrew Koeser, Jason Miesbauer, Roger Samelson, Jim Wagner, Anthony R. Ambrose, Andreas Detter, Steffen Rust, David Coomes, and Barry Gardiner
Biogeosciences, 18, 4059–4072, https://doi.org/10.5194/bg-18-4059-2021, https://doi.org/10.5194/bg-18-4059-2021, 2021
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We have all seen trees swaying in the wind, but did you know that this motion can teach us about ecology? We summarized tree motion data from many different studies and looked for similarities between trees. We found that the motion of trees in conifer forests is quite similar to each other, whereas open-grown trees and broadleaf forests show more variation. It has been suggested that additional damping or amplification of tree motion occurs at high wind speeds, but we found no evidence of this.
C. Sothe, L. E. C. la Rosa, C. M. de Almeida, A. Gonsamo, M. B. Schimalski, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, and A. M. G. Tommaselli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 193–199, https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020, 2020
Terhi Riutta, Aino Korrensalo, Anna M. Laine, Jukka Laine, and Eeva-Stiina Tuittila
Biogeosciences, 17, 727–740, https://doi.org/10.5194/bg-17-727-2020, https://doi.org/10.5194/bg-17-727-2020, 2020
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We studied the role of plant species groups in peatland methane fluxes under natural conditions and lowered water level. At a natural water level, sedges and mosses increased the fluxes. At a lower water level, the impact of plant groups on the fluxes was small. Only at a high water level did vegetation regulate the fluxes. The results are relevant for assessing peatland methane fluxes in a changing climate, as peatland water level and vegetation are predicted to change.
Carlos Alberto Quesada, Claudia Paz, Erick Oblitas Mendoza, Oliver Lawrence Phillips, Gustavo Saiz, and Jon Lloyd
SOIL, 6, 53–88, https://doi.org/10.5194/soil-6-53-2020, https://doi.org/10.5194/soil-6-53-2020, 2020
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Amazon soils hold as much carbon (C) as is contained in the vegetation. In this work we sampled soils across 8 different Amazonian countries to try to understand which soil properties control current Amazonian soil C concentrations. We confirm previous knowledge that highly developed soils hold C through clay content interactions but also show a previously unreported mechanism of soil C stabilization in the younger Amazonian soil types which hold C through aluminium organic matter interactions.
Sophie Flack-Prain, Patrick Meir, Yadvinder Malhi, Thomas Luke Smallman, and Mathew Williams
Biogeosciences, 16, 4463–4484, https://doi.org/10.5194/bg-16-4463-2019, https://doi.org/10.5194/bg-16-4463-2019, 2019
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Across the Amazon rainforest, trees take in carbon through photosynthesis. However, photosynthesis across the basin is threatened by predicted shifts in rainfall patterns. To unpick how changes in rainfall affect photosynthesis, we use a model which combines climate data with our knowledge of photosynthesis and other plant processes. We find that stomatal constraints are less important, and instead shifts in leaf surface area and leaf properties drive changes in photosynthesis with rainfall.
Sarah Cook, Mick J. Whelan, Chris D. Evans, Vincent Gauci, Mike Peacock, Mark H. Garnett, Lip Khoon Kho, Yit Arn Teh, and Susan E. Page
Biogeosciences, 15, 7435–7450, https://doi.org/10.5194/bg-15-7435-2018, https://doi.org/10.5194/bg-15-7435-2018, 2018
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This paper presents the first comprehensive assessment of fluvial organic carbon loss from oil palm plantations on tropical peat: a carbon loss pathway previously unaccounted for from carbon budgets. Carbon in the water draining four plantations in Sarawak was monitored across a 1-year period. Greater fluvial carbon losses were linked to sites with lower water tables. These data will be used to complete the carbon budget from these ecosystems and assess the full impact of this land conversion.
Viktoria Oliver, Imma Oliveras, Jose Kala, Rebecca Lever, and Yit Arn Teh
Biogeosciences, 14, 5633–5646, https://doi.org/10.5194/bg-14-5633-2017, https://doi.org/10.5194/bg-14-5633-2017, 2017
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Fire occurrence in the Peruvian montane grasslands has increased due to climate change and agricultural expansion. This study aimed to investigate how anthropogenic activities affect soil carbon stocks in this ecosystem. Burn history (burnt 10 years ago) and grazing appeared to cause no significant change in total soil carbon, but there were significant losses to the labile carbon, suggesting a change in the soil carbon dynamics – findings that are relevant for future environmental policymakers.
Torsten Diem, Nicholas J. Morley, Adan Julian Ccahuana Quispe, Lidia Priscila Huaraca Quispe, Elizabeth M. Baggs, Patrick Meir, Mark I. A. Richards, Pete Smith, and Yit Arn Teh
Biogeosciences, 14, 5077–5097, https://doi.org/10.5194/bg-14-5077-2017, https://doi.org/10.5194/bg-14-5077-2017, 2017
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Montane ecosystems in the southern Peruvian Andes were atmospheric sources of the greenhouse gas nitrous oxide, exceeding prior emissions estimates from bottom-up process models. Nitrous oxide flux originated primarily from nitrate reduction. Nitrous oxide fluxes showed an inverse trend with elevation, and only weak evidence of seasonal variability. Nitrous oxide fluxes were influenced by the availability of nitrate and soil moisture content, but were not predicted by inputs of labile carbon.
Yit Arn Teh, Wayne A. Murphy, Juan-Carlos Berrio, Arnoud Boom, and Susan E. Page
Biogeosciences, 14, 3669–3683, https://doi.org/10.5194/bg-14-3669-2017, https://doi.org/10.5194/bg-14-3669-2017, 2017
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Peatlands in the Pastaza–Maranon foreland basin in Peru, one of the largest peatland complexes in the Amazon basin, were found to be large sources of methane and may make important contributions to regional and global budgets of this greenhouse gas. Methane showed uneven seasonal trends in emissions, with some ecosystems emitting more methane during the dry season compared to the wet season.
Matheus H. Nunes, Matthew P. Davey, and David A. Coomes
Biogeosciences, 14, 3371–3385, https://doi.org/10.5194/bg-14-3371-2017, https://doi.org/10.5194/bg-14-3371-2017, 2017
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The paper investigates whether variability in leaf traits is greater between tree species or soil type and whether field spectroscopy is effective at predicting intraspecific variation in leaf traits as well as interspecific differences. The influences of species identity on traits were generally much stronger than within-species differences related to soil type. This study demonstrates the value of spectroscopy, but highlights problems with predicting within-species variation indirectly.
Alemu Gonsamo, Jing M. Chen, Drew T. Shindell, and Gregory P. Asner
Earth Syst. Dynam., 7, 717–734, https://doi.org/10.5194/esd-7-717-2016, https://doi.org/10.5194/esd-7-717-2016, 2016
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Using 3 decades of observational satellite and field data, we find that long-term changes in sea ice and sea level, plant phenology, and surface temperature are coherent with increases in atmospheric CO2 concentration and other global greenhouse gases. During the same period, natural causes of climate change should only have a net cooling long-term effect, suggesting the observed coherent pattern of changes across Earth's biological and physical systems could only be due to human activities.
Sam P. Jones, Torsten Diem, Lidia P. Huaraca Quispe, Adan J. Cahuana, Dave S. Reay, Patrick Meir, and Yit Arn Teh
Biogeosciences, 13, 4151–4165, https://doi.org/10.5194/bg-13-4151-2016, https://doi.org/10.5194/bg-13-4151-2016, 2016
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Tropical montane forests represent a significant portion of Andean land cover, however, soil-atmosphere methane exchange in these ecosystems is under studied. Here we report on soil methane cycling in montane forests of the southern Peruvian Andes. These soils acted as a net sink for atmospheric methane and variation in uptake across the studied forests was best explained by nitrate inhibition of oxidation and/or limitations on the inward diffusion of methane from the atmosphere into the soil.
Fabien H. Wagner, Bruno Hérault, Damien Bonal, Clément Stahl, Liana O. Anderson, Timothy R. Baker, Gabriel Sebastian Becker, Hans Beeckman, Danilo Boanerges Souza, Paulo Cesar Botosso, David M. J. S. Bowman, Achim Bräuning, Benjamin Brede, Foster Irving Brown, Jesus Julio Camarero, Plínio Barbosa Camargo, Fernanda C. G. Cardoso, Fabrício Alvim Carvalho, Wendeson Castro, Rubens Koloski Chagas, Jérome Chave, Emmanuel N. Chidumayo, Deborah A. Clark, Flavia Regina Capellotto Costa, Camille Couralet, Paulo Henrique da Silva Mauricio, Helmut Dalitz, Vinicius Resende de Castro, Jaçanan Eloisa de Freitas Milani, Edilson Consuelo de Oliveira, Luciano de Souza Arruda, Jean-Louis Devineau, David M. Drew, Oliver Dünisch, Giselda Durigan, Elisha Elifuraha, Marcio Fedele, Ligia Ferreira Fedele, Afonso Figueiredo Filho, César Augusto Guimarães Finger, Augusto César Franco, João Lima Freitas Júnior, Franklin Galvão, Aster Gebrekirstos, Robert Gliniars, Paulo Maurício Lima de Alencastro Graça, Anthony D. Griffiths, James Grogan, Kaiyu Guan, Jürgen Homeier, Maria Raquel Kanieski, Lip Khoon Kho, Jennifer Koenig, Sintia Valerio Kohler, Julia Krepkowski, José Pires Lemos-Filho, Diana Lieberman, Milton Eugene Lieberman, Claudio Sergio Lisi, Tomaz Longhi Santos, José Luis López Ayala, Eduardo Eijji Maeda, Yadvinder Malhi, Vivian R. B. Maria, Marcia C. M. Marques, Renato Marques, Hector Maza Chamba, Lawrence Mbwambo, Karina Liana Lisboa Melgaço, Hooz Angela Mendivelso, Brett P. Murphy, Joseph J. O'Brien, Steven F. Oberbauer, Naoki Okada, Raphaël Pélissier, Lynda D. Prior, Fidel Alejandro Roig, Michael Ross, Davi Rodrigo Rossatto, Vivien Rossi, Lucy Rowland, Ervan Rutishauser, Hellen Santana, Mark Schulze, Diogo Selhorst, Williamar Rodrigues Silva, Marcos Silveira, Susanne Spannl, Michael D. Swaine, José Julio Toledo, Marcos Miranda Toledo, Marisol Toledo, Takeshi Toma, Mario Tomazello Filho, Juan Ignacio Valdez Hernández, Jan Verbesselt, Simone Aparecida Vieira, Grégoire Vincent, Carolina Volkmer de Castilho, Franziska Volland, Martin Worbes, Magda Lea Bolzan Zanon, and Luiz E. O. C. Aragão
Biogeosciences, 13, 2537–2562, https://doi.org/10.5194/bg-13-2537-2016, https://doi.org/10.5194/bg-13-2537-2016, 2016
W. Simonson, P. Ruiz-Benito, F. Valladares, and D. Coomes
Biogeosciences, 13, 961–973, https://doi.org/10.5194/bg-13-961-2016, https://doi.org/10.5194/bg-13-961-2016, 2016
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Repeat-survey airborne laser scanning is used to build a simulation model of vegetation carbon dynamics in a Spanish woodland. Analyses of National Forest Inventory and tree-ring data are used to validate the woodland growth estimates. An average carbon sequestration rate of 1.95 Mg C/ha/year over a 100-year period is predicted, but this is highly sensitive to fire frequency. The study contributes to the important need to monitor large-scale carbon dynamics in the age of climate change.
K. E. Clark, A. J. West, R. G. Hilton, G. P. Asner, C. A. Quesada, M. R. Silman, S. S. Saatchi, W. Farfan-Rios, R. E. Martin, A. B. Horwath, K. Halladay, M. New, and Y. Malhi
Earth Surf. Dynam., 4, 47–70, https://doi.org/10.5194/esurf-4-47-2016, https://doi.org/10.5194/esurf-4-47-2016, 2016
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The key findings of this paper are that landslides in the eastern Andes of Peru in the Kosñipata Valley rapidly turn over the landscape in ~1320 years, with a rate of 0.076% yr-1. Additionally, landslides were concentrated at lower elevations, due to an intense storm in 2010 accounting for ~1/4 of the total landslide area over the 25-year remote sensing study. Valley-wide carbon stocks were determined, and we estimate that 26 tC km-2 yr-1 of soil and biomass are stripped by landslides.
K. R. Redeker, A. J. Baird, and Y. A. Teh
Biogeosciences, 12, 7423–7434, https://doi.org/10.5194/bg-12-7423-2015, https://doi.org/10.5194/bg-12-7423-2015, 2015
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One continuing, significant source of uncertainty in global climate predictions is the combined effect of wind and pressure on trace gas fluxes. We quantified the effects of wind speed and pressure on fluxes of CO2 and CH4 within three different ecosystems. Trace gas fluxes are positively correlated with both wind speed and pressure near the soil surface but we argue that wind speed is a better proxy for general use. These results have implications for a number of global feedback mechanisms.
B. M. M. Wedeux and D. A. Coomes
Biogeosciences, 12, 6707–6719, https://doi.org/10.5194/bg-12-6707-2015, https://doi.org/10.5194/bg-12-6707-2015, 2015
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Canopy height and gaps of tropical peat swamp forests, measured by airborne laser scanning, were influenced by an interplay of environmental factors and selective logging. Structural recovery after logging depended strongly on peat depth and the landscape-scale relationship between forest height and canopy gap structure was lost in selectively logged forests. Results suggest slowest recovery on deep waterlogged and infertile peat, which is of relevance to management and conservation activities.
E. M. Veenendaal, M. Torello-Raventos, T. R. Feldpausch, T. F. Domingues, F. Gerard, F. Schrodt, G. Saiz, C. A. Quesada, G. Djagbletey, A. Ford, J. Kemp, B. S. Marimon, B. H. Marimon-Junior, E. Lenza, J. A. Ratter, L. Maracahipes, D. Sasaki, B. Sonké, L. Zapfack, D. Villarroel, M. Schwarz, F. Yoko Ishida, M. Gilpin, G. B. Nardoto, K. Affum-Baffoe, L. Arroyo, K. Bloomfield, G. Ceca, H. Compaore, K. Davies, A. Diallo, N. M. Fyllas, J. Gignoux, F. Hien, M. Johnson, E. Mougin, P. Hiernaux, T. Killeen, D. Metcalfe, H. S. Miranda, M. Steininger, K. Sykora, M. I. Bird, J. Grace, S. Lewis, O. L. Phillips, and J. Lloyd
Biogeosciences, 12, 2927–2951, https://doi.org/10.5194/bg-12-2927-2015, https://doi.org/10.5194/bg-12-2927-2015, 2015
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When nearby forest and savanna stands are compared, they are not as structurally different as first seems. Moreover, savanna-forest transition zones typically occur at higher rainfall for South America than for Africa but with coexistence confined to a well-defined edaphic-climate envelope. With interacting soil cation-soil water storage–precipitations effects on canopy cover also observed we argue that both soils and climate influence the location of the two major tropical vegetation types.
L. Rowland, A. Harper, B. O. Christoffersen, D. R. Galbraith, H. M. A. Imbuzeiro, T. L. Powell, C. Doughty, N. M. Levine, Y. Malhi, S. R. Saleska, P. R. Moorcroft, P. Meir, and M. Williams
Geosci. Model Dev., 8, 1097–1110, https://doi.org/10.5194/gmd-8-1097-2015, https://doi.org/10.5194/gmd-8-1097-2015, 2015
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This study evaluates the capability of five vegetation models to simulate the response of forest productivity to changes in temperature and drought, using data collected from an Amazonian forest. This study concludes that model consistencies in the responses of net canopy carbon production to temperature and precipitation change were the result of inconsistently modelled leaf-scale process responses and substantial variation in modelled leaf area responses.
K. E. Clark, M. A. Torres, A. J. West, R. G. Hilton, M. New, A. B. Horwath, J. B. Fisher, J. M. Rapp, A. Robles Caceres, and Y. Malhi
Hydrol. Earth Syst. Sci., 18, 5377–5397, https://doi.org/10.5194/hess-18-5377-2014, https://doi.org/10.5194/hess-18-5377-2014, 2014
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This paper presents measurements of the balance of water inputs and outputs over 1 year for a river basin in the Andes of Peru. Our results show that the annual water budget is balanced within a few percent uncertainty; that is to say, the amount of water entering the basin was the same as the amount leaving, providing important information for understanding the water cycle. We also show that seasonal storage of water is important in sustaining the flow of water during the dry season.
M. Réjou-Méchain, H. C. Muller-Landau, M. Detto, S. C. Thomas, T. Le Toan, S. S. Saatchi, J. S. Barreto-Silva, N. A. Bourg, S. Bunyavejchewin, N. Butt, W. Y. Brockelman, M. Cao, D. Cárdenas, J.-M. Chiang, G. B. Chuyong, K. Clay, R. Condit, H. S. Dattaraja, S. J. Davies, A. Duque, S. Esufali, C. Ewango, R. H. S. Fernando, C. D. Fletcher, I. A. U. N. Gunatilleke, Z. Hao, K. E. Harms, T. B. Hart, B. Hérault, R. W. Howe, S. P. Hubbell, D. J. Johnson, D. Kenfack, A. J. Larson, L. Lin, Y. Lin, J. A. Lutz, J.-R. Makana, Y. Malhi, T. R. Marthews, R. W. McEwan, S. M. McMahon, W. J. McShea, R. Muscarella, A. Nathalang, N. S. M. Noor, C. J. Nytch, A. A. Oliveira, R. P. Phillips, N. Pongpattananurak, R. Punchi-Manage, R. Salim, J. Schurman, R. Sukumar, H. S. Suresh, U. Suwanvecho, D. W. Thomas, J. Thompson, M. Uríarte, R. Valencia, A. Vicentini, A. T. Wolf, S. Yap, Z. Yuan, C. E. Zartman, J. K. Zimmerman, and J. Chave
Biogeosciences, 11, 6827–6840, https://doi.org/10.5194/bg-11-6827-2014, https://doi.org/10.5194/bg-11-6827-2014, 2014
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Forest carbon mapping may greatly reduce uncertainties in the global carbon budget. Accuracy of such maps depends however on the quality of field measurements. Using 30 large forest plots, we found large local spatial variability in biomass. When field calibration plots are smaller than the remote sensing pixels, this high local spatial variability results in an underestimation of the variance in biomass.
N. M. Fyllas, E. Gloor, L. M. Mercado, S. Sitch, C. A. Quesada, T. F. Domingues, D. R. Galbraith, A. Torre-Lezama, E. Vilanova, H. Ramírez-Angulo, N. Higuchi, D. A. Neill, M. Silveira, L. Ferreira, G. A. Aymard C., Y. Malhi, O. L. Phillips, and J. Lloyd
Geosci. Model Dev., 7, 1251–1269, https://doi.org/10.5194/gmd-7-1251-2014, https://doi.org/10.5194/gmd-7-1251-2014, 2014
T. R. Marthews, C. A. Quesada, D. R. Galbraith, Y. Malhi, C. E. Mullins, M. G. Hodnett, and I. Dharssi
Geosci. Model Dev., 7, 711–723, https://doi.org/10.5194/gmd-7-711-2014, https://doi.org/10.5194/gmd-7-711-2014, 2014
Y. A. Teh, T. Diem, S. Jones, L. P. Huaraca Quispe, E. Baggs, N. Morley, M. Richards, P. Smith, and P. Meir
Biogeosciences, 11, 2325–2339, https://doi.org/10.5194/bg-11-2325-2014, https://doi.org/10.5194/bg-11-2325-2014, 2014
G. P. Asner, C. B. Anderson, R. E. Martin, D. E. Knapp, R. Tupayachi, F. Sinca, and Y. Malhi
Biogeosciences, 11, 843–856, https://doi.org/10.5194/bg-11-843-2014, https://doi.org/10.5194/bg-11-843-2014, 2014
R. Valentini, A. Arneth, A. Bombelli, S. Castaldi, R. Cazzolla Gatti, F. Chevallier, P. Ciais, E. Grieco, J. Hartmann, M. Henry, R. A. Houghton, M. Jung, W. L. Kutsch, Y. Malhi, E. Mayorga, L. Merbold, G. Murray-Tortarolo, D. Papale, P. Peylin, B. Poulter, P. A. Raymond, M. Santini, S. Sitch, G. Vaglio Laurin, G. R. van der Werf, C. A. Williams, and R. J. Scholes
Biogeosciences, 11, 381–407, https://doi.org/10.5194/bg-11-381-2014, https://doi.org/10.5194/bg-11-381-2014, 2014
A. D. A. Castanho, M. T. Coe, M. H. Costa, Y. Malhi, D. Galbraith, and C. A. Quesada
Biogeosciences, 10, 2255–2272, https://doi.org/10.5194/bg-10-2255-2013, https://doi.org/10.5194/bg-10-2255-2013, 2013
Related subject area
Biodiversity and Ecosystem Function: Terrestrial
Crowd-sourced trait data can be used to delimit global biomes
Biomass yield potential, feedstock quality, and nutrient removal of perennial buffer strips under continuous zero fertilizer application
Leaf habit drives leaf nutrient resorption globally alongside nutrient availability and climate
Linking geomorphological processes and wildlife microhabitat selection: nesting birds select refuges generated by permafrost degradation in the Arctic
Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure
Enhancing environmental models with a new downscaling method for global radiation in complex terrain
“Blooming” of litter-mixing effects: the role of flower and leaf litter interactions on decomposition in terrestrial and aquatic ecosystems
From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery
Plant functional traits modulate the effects of soil acidification on above- and belowground biomass
Regional effects and local climate jointly shape the global distribution of sexual systems in woody flowering plants
Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory
Comparison of carbon and water fluxes and the drivers of ecosystem water use efficiency in a temperate rainforest and a peatland in southern South America
Kilometre-scale simulations over Fennoscandia reveal a large loss of tundra due to climate warming
Microclimate mapping using novel radiative transfer modelling
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
Root distributions predict shrub–steppe responses to precipitation intensity
Thermophilisation of Afromontane forest stands demonstrated in an elevation gradient experiment
Soil smoldering in temperate forests: A neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios
Above-treeline ecosystems facing drought: lessons from the 2022 European summer heat wave
Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest
Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science
Primary succession and its driving variables – a sphere-spanning approach applied in proglacial areas in the upper Martell Valley (Eastern Italian Alps)
Contemporary biodiversity pattern is affected by climate change at multiple temporal scales in steppes on the Mongolian Plateau
Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest
Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphical models
Dynamics of short-term ecosystem carbon fluxes induced by precipitation events in a semiarid grassland
Throughfall exclusion and fertilization effects on tropical dry forest tree plantations, a large-scale experiment
Tectonic controls on the ecosystem of the Mara River basin, East Africa, from geomorphological and spectral index analysis
Spruce bark beetles (Ips typographus) cause up to 700 times higher bark BVOC emission rates compared to healthy Norway spruce (Picea abies)
Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory
Observed water and light limitation across global ecosystems
A question of scale: modeling biomass, gain and mortality distributions of a tropical forest
Seed traits and phylogeny explain plants' geographic distribution
Effect of the presence of plateau pikas on the ecosystem services of alpine meadows
Allometric equations and wood density parameters for estimating aboveground and woody debris biomass in Cajander larch (Larix cajanderi) forests of northeast Siberia
Strong influence of trees outside forest in regulating microclimate of intensively modified Afromontane landscapes
Excess radiation exacerbates drought stress impacts on canopy conductance along aridity gradients
Dispersal of bacteria and stimulation of permafrost decomposition by Collembola
Modeling the effects of alternative crop–livestock management scenarios on important ecosystem services for smallholder farming from a landscape perspective
Contrasting strategies of nutrient demand and use between savanna and forest ecosystems in a neotropical transition zone
Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing
Updated estimation of forest biomass carbon pools in China, 1977–2018
Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets
Fire in lichen-rich subarctic tundra changes carbon and nitrogen cycling between ecosystem compartments but has minor effects on stocks
Mass concentration measurements of autumn bioaerosol using low-cost sensors in a mature temperate woodland free-air carbon dioxide enrichment (FACE) experiment: investigating the role of meteorology and carbon dioxide levels
Phosphorus stress strongly reduced plant physiological activity, but only temporarily, in a mesocosm experiment with Zea mays colonized by arbuscular mycorrhizal fungi
Main drivers of plant diversity patterns of rubber plantations in the Greater Mekong Subregion
Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing
Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems
Water uptake patterns of pea and barley responded to drought but not to cropping systems
Simon Scheiter, Sophie Wolf, and Teja Kattenborn
Biogeosciences, 21, 4909–4926, https://doi.org/10.5194/bg-21-4909-2024, https://doi.org/10.5194/bg-21-4909-2024, 2024
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Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
Cheng-Hsien Lin, Colleen Zumpf, Chunhwa Jang, Thomas Voigt, Guanglong Tian, Olawale Oladeji, Albert Cox, Rehnuma Mehzabin, and DoKyoung Lee
Biogeosciences, 21, 4765–4784, https://doi.org/10.5194/bg-21-4765-2024, https://doi.org/10.5194/bg-21-4765-2024, 2024
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Riparian areas are subject to environmental issues (nutrient leaching) associated with low productivity. Perennial grasses can improve ecosystem services from riparian zones while producing forage/bioenergy feedstock biomass as potential income for farmers. The forage-type buffer can be an ideal short-term candidate due to its great efficiency of nutrient scavenging; the bioenergy-type buffer showed better sustainability than the forage buffer and a continuous yield supply potential.
Gabriela Sophia, Silvia Caldararu, Benjamin David Stocker, and Sönke Zaehle
Biogeosciences, 21, 4169–4193, https://doi.org/10.5194/bg-21-4169-2024, https://doi.org/10.5194/bg-21-4169-2024, 2024
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Through an extensive global dataset of leaf nutrient resorption and a multifactorial analysis, we show that the majority of spatial variation in nutrient resorption may be driven by leaf habit and type, with thicker, longer-lived leaves having lower resorption efficiencies. Climate, soil fertility and soil-related factors emerge as strong drivers with an additional effect on its role. These results are essential for comprehending plant nutrient status, plant productivity and nutrient cycling.
Madeleine-Zoé Corbeil-Robitaille, Éliane Duchesne, Daniel Fortier, Christophe Kinnard, and Joël Bêty
Biogeosciences, 21, 3401–3423, https://doi.org/10.5194/bg-21-3401-2024, https://doi.org/10.5194/bg-21-3401-2024, 2024
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In the Arctic tundra, climate change is transforming the landscape, and this may impact wildlife. We focus on three nesting bird species and the islets they select as refuges from their main predator, the Arctic fox. A geomorphological process, ice-wedge polygon degradation, was found to play a key role in creating these refuges. This process is likely to affect predator–prey dynamics in the Arctic tundra, highlighting the connections between nature's physical and ecological systems.
Samuel M. Fischer, Xugao Wang, and Andreas Huth
Biogeosciences, 21, 3305–3319, https://doi.org/10.5194/bg-21-3305-2024, https://doi.org/10.5194/bg-21-3305-2024, 2024
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Understanding the drivers of forest productivity is key for accurately assessing forests’ role in the global carbon cycle. Yet, despite significant research effort, it is not fully understood how the productivity of a forest can be deduced from its stand structure. We suggest tackling this problem by identifying the share and structure of immature trees within forests and show that this approach could significantly improve estimates of forests’ net productivity and carbon uptake.
Arsène Druel, Julien Ruffault, Hendrik Davi, André Chanzy, Olivier Marloie, Miquel De Cáceres, Florent Mouillot, Christophe François, Kamel Soudani, and Nicolas K. Martin-StPaul
EGUsphere, https://doi.org/10.5194/egusphere-2024-1800, https://doi.org/10.5194/egusphere-2024-1800, 2024
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Accurate radiation data are essential for understanding ecosystem growth. Traditional large-scale data lack the precision needed for complex terrains, e.g. mountainous regions. This study introduces a new model to enhance radiation data resolution using elevation maps, which accounts for sub-daily direct and diffuse radiation effects caused by terrain features. Tested on Mont Ventoux, this method significantly improves radiation estimates, benefiting forest growth and climate risk models.
Mery Ingrid Guimarães de Alencar, Rafael D. Guariento, Bertrand Guenet, Luciana S. Carneiro, Eduardo L. Voigt, and Adriano Caliman
Biogeosciences, 21, 3165–3182, https://doi.org/10.5194/bg-21-3165-2024, https://doi.org/10.5194/bg-21-3165-2024, 2024
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Flowers are ephemeral organs for reproduction, and their litter is functionally different from leaf litter. Flowers can affect decomposition and interact with leaf litter, influencing decomposition non-additively. We show that mixing flower and leaf litter from the Tabebuia aurea tree creates reciprocal synergistic effects on decomposition in both terrestrial and aquatic environments. We highlight that flower litter input can generate biogeochemical hotspots in terrestrial ecosystems.
Salim Soltani, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, and Teja Kattenborn
Biogeosciences, 21, 2909–2935, https://doi.org/10.5194/bg-21-2909-2024, https://doi.org/10.5194/bg-21-2909-2024, 2024
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In this research, we developed a novel method using citizen science data as alternative training data for computer vision models to map plant species in unoccupied aerial vehicle (UAV) images. We use citizen science plant photographs to train models and apply them to UAV images. We tested our approach on UAV images of a test site with 10 different tree species, yielding accurate results. This research shows the potential of citizen science data to advance our ability to monitor plant species.
Xue Feng, Ruzhen Wang, Tianpeng Li, Jiangping Cai, Heyong Liu, Hui Li, and Yong Jiang
Biogeosciences, 21, 2641–2653, https://doi.org/10.5194/bg-21-2641-2024, https://doi.org/10.5194/bg-21-2641-2024, 2024
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Plant functional traits have been considered as reflecting adaptations to environmental variations, indirectly affecting ecosystem productivity. How soil acidification affects above- and belowground biomass by altering leaf and root traits remains poorly understood. We found divergent trait responses driven by soil environmental conditions in two dominant species, resulting in a decrease in aboveground biomass and an increase in belowground biomass.
Minhua Zhang, Xiaoqing Hu, and Fangliang He
Biogeosciences, 21, 2133–2142, https://doi.org/10.5194/bg-21-2133-2024, https://doi.org/10.5194/bg-21-2133-2024, 2024
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Plant sexual systems are important to understanding the evolution and maintenance of plant diversity. We quantified region effects on their proportions while incorporating local climate factors and evolutionary history. We found regional processes and climate effects both play important roles in shaping the geographic distribution of sexual systems, providing a baseline for predicting future changes in forest communities in the context of global change.
Christian H. Mohr, Michael Dietze, Violeta Tolorza, Erwin Gonzalez, Benjamin Sotomayor, Andres Iroume, Sten Gilfert, and Frieder Tautz
Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
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Coastal temperate rainforests, among Earth’s carbon richest biomes, are systematically underrepresented in the global network of critical zone observatories (CZOs). Introducing here a first CZO in the heart of the Patagonian rainforest, Chile, we investigate carbon sink functioning, biota-driven landscape evolution, fluxes of matter and energy, and disturbance regimes. We invite the community to join us in cross-disciplinary collaboration to advance science in this particular environment.
Jorge F. Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L. Celis-Diez, and Juan J. Armesto
Biogeosciences, 21, 1371–1389, https://doi.org/10.5194/bg-21-1371-2024, https://doi.org/10.5194/bg-21-1371-2024, 2024
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For 8 years we sampled a temperate rainforest and a peatland in Chile to estimate their efficiency to capture carbon per unit of water lost. The efficiency is more related to the water lost than to the carbon captured and is mainly driven by evaporation instead of transpiration. This is the first report from southern South America and highlights that ecosystems might behave differently in this area, likely explained by the high annual precipitation (~ 2100 mm) and light-limited conditions.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Florian Zellweger, Eric Sulmoni, Johanna T. Malle, Andri Baltensweiler, Tobias Jonas, Niklaus E. Zimmermann, Christian Ginzler, Dirk Nikolaus Karger, Pieter De Frenne, David Frey, and Clare Webster
Biogeosciences, 21, 605–623, https://doi.org/10.5194/bg-21-605-2024, https://doi.org/10.5194/bg-21-605-2024, 2024
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The microclimatic conditions experienced by organisms living close to the ground are not well represented in currently used climate datasets derived from weather stations. Therefore, we measured and mapped ground microclimate temperatures at 10 m spatial resolution across Switzerland using a novel radiation model. Our results reveal a high variability in microclimates across different habitats and will help to better understand climate and land use impacts on biodiversity and ecosystems.
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin De Kauwe, Sam Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
EGUsphere, https://doi.org/10.5194/egusphere-2023-3084, https://doi.org/10.5194/egusphere-2023-3084, 2024
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This paper evaluates land models – computer based models that simulate ecosystem dynamics, the land carbon, water and energy cycles and the role of land in the climate system. It uses machine learning / AI approaches to show that despite the complexity of land models, they do not perform nearly as well as they could, given the amount of information they are provided with about the prediction problem.
Andrew Kulmatiski, Martin C. Holdrege, Cristina Chirvasă, and Karen H. Beard
Biogeosciences, 21, 131–143, https://doi.org/10.5194/bg-21-131-2024, https://doi.org/10.5194/bg-21-131-2024, 2024
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Warmer air and larger precipitation events are changing the way water moves through the soil and into plants. Here we show that detailed descriptions of root distributions can predict plant growth responses to changing precipitation patterns. Shrubs and forbs increased growth, while grasses showed no response to increased precipitation intensity, and these responses were predicted by plant rooting distributions.
Bonaventure Ntirugulirwa, Etienne Zibera, Nkuba Epaphrodite, Aloysie Manishimwe, Donat Nsabimana, Johan Uddling, and Göran Wallin
Biogeosciences, 20, 5125–5149, https://doi.org/10.5194/bg-20-5125-2023, https://doi.org/10.5194/bg-20-5125-2023, 2023
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Twenty tropical tree species native to Africa were planted along an elevation gradient (1100 m, 5.4 °C difference). We found that early-successional (ES) species, especially from lower elevations, grew faster at warmer sites, while several of the late-successional (LS) species, especially from higher elevations, did not respond or grew slower. Moreover, a warmer climate increased tree mortality in LS species, but not much in ES species.
Lilian Vallet, Charbel Abdallah, Thomas Lauvaux, Lilian Joly, Michel Ramonet, Philippe Ciais, Morgan Lopez, Irène Xueref-Remy, and Florent Mouillot
EGUsphere, https://doi.org/10.5194/egusphere-2023-2421, https://doi.org/10.5194/egusphere-2023-2421, 2023
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2022 fire season had a huge impact on European temperate forest, with several large fires exhibiting prolonged soil combustion reported. We analyzed CO and CO2 concentration recorded at nearby atmospheric towers, revealing intense smoldering combustion. We refined a fire emission model to incorporate this process. We estimated 7.95 MteqCO2 fire emission, twice the global estimate. Fires contributed to 1.97 % of the country's annual carbon footprint, reducing forest carbon sink by 30 % this year.
Philippe Choler
Biogeosciences, 20, 4259–4272, https://doi.org/10.5194/bg-20-4259-2023, https://doi.org/10.5194/bg-20-4259-2023, 2023
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The year 2022 was unique in that the summer heat wave and drought led to a widespread reduction in vegetation growth at high elevation in the European Alps. This impact was unprecedented in the southwestern, warm, and dry part of the Alps. Over the last 2 decades, water has become a co-dominant control of vegetation activity in areas that were, so far, primarily controlled by temperature, and the growth of mountain grasslands has become increasingly sensitive to moisture availability.
Adriana Simonetti, Raquel Fernandes Araujo, Carlos Henrique Souza Celes, Flávia Ranara da Silva e Silva, Joaquim dos Santos, Niro Higuchi, Susan Trumbore, and Daniel Magnabosco Marra
Biogeosciences, 20, 3651–3666, https://doi.org/10.5194/bg-20-3651-2023, https://doi.org/10.5194/bg-20-3651-2023, 2023
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We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in a central Amazon forest. Our results indicate that small gaps associated with branch fall were the most frequent. Biomass losses were partially controlled by gap area, with branch fall and snapping contributing the least and greatest relative values, respectively. Our study highlights the potential of drone images for monitoring canopy dynamics in dense tropical forests.
Silvia Caldararu, Victor Rolo, Benjamin D. Stocker, Teresa E. Gimeno, and Richard Nair
Biogeosciences, 20, 3637–3649, https://doi.org/10.5194/bg-20-3637-2023, https://doi.org/10.5194/bg-20-3637-2023, 2023
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Ecosystem manipulative experiments are large experiments in real ecosystems. They include processes such as species interactions and weather that would be omitted in more controlled settings. They offer a high level of realism but are underused in combination with vegetation models used to predict the response of ecosystems to global change. We propose a workflow using models and ecosystem experiments together, taking advantage of the benefits of both tools for Earth system understanding.
Katharina Ramskogler, Bettina Knoflach, Bernhard Elsner, Brigitta Erschbamer, Florian Haas, Tobias Heckmann, Florentin Hofmeister, Livia Piermattei, Camillo Ressl, Svenja Trautmann, Michael H. Wimmer, Clemens Geitner, Johann Stötter, and Erich Tasser
Biogeosciences, 20, 2919–2939, https://doi.org/10.5194/bg-20-2919-2023, https://doi.org/10.5194/bg-20-2919-2023, 2023
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Primary succession in proglacial areas depends on complex driving forces. To concretise the complex effects and interaction processes, 39 known explanatory variables assigned to seven spheres were analysed via principal component analysis and generalised additive models. Key results show that in addition to time- and elevation-dependent factors, also disturbances alter vegetation development. The results are useful for debates on vegetation development in a warming climate.
Zijing Li, Zhiyong Li, Xuze Tong, Lei Dong, Ying Zheng, Jinghui Zhang, Bailing Miao, Lixin Wang, Liqing Zhao, Lu Wen, Guodong Han, Frank Yonghong Li, and Cunzhu Liang
Biogeosciences, 20, 2869–2882, https://doi.org/10.5194/bg-20-2869-2023, https://doi.org/10.5194/bg-20-2869-2023, 2023
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We used random forest models and structural equation models to assess the relative importance of the present climate and paleoclimate as determinants of diversity and aboveground biomass. Results showed that paleoclimate changes and modern climate jointly determined contemporary biodiversity patterns, while community biomass was mainly affected by modern climate. These findings suggest that contemporary biodiversity patterns may be affected by processes at divergent temporal scales.
William Rupert Moore Flynn, Harry Jon Foord Owen, Stuart William David Grieve, and Emily Rebecca Lines
Biogeosciences, 20, 2769–2784, https://doi.org/10.5194/bg-20-2769-2023, https://doi.org/10.5194/bg-20-2769-2023, 2023
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Quantifying vegetation indices is crucial for ecosystem monitoring and modelling. Terrestrial laser scanning (TLS) has potential to accurately measure vegetation indices, but multiple methods exist, with little consensus on best practice. We compare three methods and extract wood-to-plant ratio, a metric used to correct for wood in leaf indices. We show corrective metrics vary with tree structure and variation among methods, highlighting the value of TLS data and importance of rigorous testing.
Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 20, 2727–2741, https://doi.org/10.5194/bg-20-2727-2023, https://doi.org/10.5194/bg-20-2727-2023, 2023
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In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
Josué Delgado-Balbuena, Henry W. Loescher, Carlos A. Aguirre-Gutiérrez, Teresa Alfaro-Reyna, Luis F. Pineda-Martínez, Rodrigo Vargas, and Tulio Arredondo
Biogeosciences, 20, 2369–2385, https://doi.org/10.5194/bg-20-2369-2023, https://doi.org/10.5194/bg-20-2369-2023, 2023
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In the semiarid grassland, an increase in soil moisture at shallow depths instantly enhances carbon release through respiration. In contrast, deeper soil water controls plant carbon uptake but with a delay of several days. Previous soil conditions, biological activity, and the size and timing of precipitation are factors that determine the amount of carbon released into the atmosphere. Thus, future changes in precipitation patterns could convert ecosystems from carbon sinks to carbon sources.
German Vargas Gutiérrez, Daniel Pérez-Aviles, Nanette Raczka, Damaris Pereira-Arias, Julián Tijerín-Triviño, L. David Pereira-Arias, David Medvigy, Bonnie G. Waring, Ember Morrisey, Edward Brzostek, and Jennifer S. Powers
Biogeosciences, 20, 2143–2160, https://doi.org/10.5194/bg-20-2143-2023, https://doi.org/10.5194/bg-20-2143-2023, 2023
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To study whether nutrient availability controls tropical dry forest responses to reductions in soil moisture, we established the first troughfall exclusion experiment in a tropical dry forest plantation system crossed with a fertilization scheme. We found that the effects of fertilization on net primary productivity are larger than the effects of a ~15 % reduction in soil moisture, although in many cases we observed an interaction between drought and nutrient additions, suggesting colimitation.
Alina Lucia Ludat and Simon Kübler
Biogeosciences, 20, 1991–2012, https://doi.org/10.5194/bg-20-1991-2023, https://doi.org/10.5194/bg-20-1991-2023, 2023
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Satellite-based analysis illustrates the impact of geological processes for the stability of the ecosystem in the Mara River basin (Kenya/Tanzania). Newly detected fault activity influences the course of river networks and modifies erosion–deposition patterns. Tectonic surface features and variations in rock chemistry lead to localized enhancement of clay and soil moisture values and seasonally stabilised vegetation growth patterns in this climatically vulnerable region.
Erica Jaakkola, Antje Gärtner, Anna Maria Jönsson, Karl Ljung, Per-Ola Olsson, and Thomas Holst
Biogeosciences, 20, 803–826, https://doi.org/10.5194/bg-20-803-2023, https://doi.org/10.5194/bg-20-803-2023, 2023
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Increased spruce bark beetle outbreaks were recently seen in Sweden. When Norway spruce trees are attacked, they increase their production of VOCs, attempting to kill the beetles. We provide new insights into how the Norway spruce act when infested and found the emitted volatiles to increase up to 700 times and saw a change in compound blend. We estimate that the 2020 bark beetle outbreak in Sweden could have increased the total monoterpene emissions from the forest by more than 10 %.
Georg Wohlfahrt, Albin Hammerle, Felix M. Spielmann, Florian Kitz, and Chuixiang Yi
Biogeosciences, 20, 589–596, https://doi.org/10.5194/bg-20-589-2023, https://doi.org/10.5194/bg-20-589-2023, 2023
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The trace gas carbonyl sulfide (COS), which is taken up by plant leaves in a process very similar to photosynthesis, is thought to be a promising proxy for the gross uptake of carbon dioxide by plants. Here we propose a new framework for estimating a key metric to that end, the so-called leaf relative uptake rate. The values we deduce by applying principles of plant optimality are considerably lower than published values and may help reduce the uncertainty of the global COS budget.
François Jonard, Andrew F. Feldman, Daniel J. Short Gianotti, and Dara Entekhabi
Biogeosciences, 19, 5575–5590, https://doi.org/10.5194/bg-19-5575-2022, https://doi.org/10.5194/bg-19-5575-2022, 2022
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We investigate the spatial and temporal patterns of light and water limitation in plant function at the ecosystem scale. Using satellite observations, we characterize the nonlinear relationships between sun-induced chlorophyll fluorescence (SIF) and water and light availability. This study highlights that soil moisture limitations on SIF are found primarily in drier environments, while light limitations are found in intermediately wet regions.
Nikolai Knapp, Sabine Attinger, and Andreas Huth
Biogeosciences, 19, 4929–4944, https://doi.org/10.5194/bg-19-4929-2022, https://doi.org/10.5194/bg-19-4929-2022, 2022
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The biomass of forests is determined by forest growth and mortality. These quantities can be estimated with different methods such as inventories, remote sensing and modeling. These methods are usually being applied at different spatial scales. The scales influence the obtained frequency distributions of biomass, growth and mortality. This study suggests how to transfer between scales, when using forest models of different complexity for a tropical forest.
Kai Chen, Kevin S. Burgess, Fangliang He, Xiang-Yun Yang, Lian-Ming Gao, and De-Zhu Li
Biogeosciences, 19, 4801–4810, https://doi.org/10.5194/bg-19-4801-2022, https://doi.org/10.5194/bg-19-4801-2022, 2022
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Why does plants' distributional range size vary enormously? This study provides evidence that seed mass, intraspecific seed mass variation, seed dispersal mode and phylogeny contribute to explaining species distribution variation on a geographic scale. Our study clearly shows the importance of including seed life-history traits in modeling and predicting the impact of climate change on species distribution of seed plants.
Ying Ying Chen, Huan Yang, Gen Sheng Bao, Xiao Pan Pang, and Zheng Gang Guo
Biogeosciences, 19, 4521–4532, https://doi.org/10.5194/bg-19-4521-2022, https://doi.org/10.5194/bg-19-4521-2022, 2022
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Investigating the effect of the presence of plateau pikas on ecosystem services of alpine meadows is helpful to understand the role of the presence of small mammalian herbivores in grasslands. The results of this study showed that the presence of plateau pikas led to higher biodiversity conservation, soil nitrogen and phosphorus maintenance, and carbon sequestration of alpine meadows, whereas it led to lower forage available to livestock and water conservation of alpine meadows.
Clement Jean Frédéric Delcourt and Sander Veraverbeke
Biogeosciences, 19, 4499–4520, https://doi.org/10.5194/bg-19-4499-2022, https://doi.org/10.5194/bg-19-4499-2022, 2022
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This study provides new equations that can be used to estimate aboveground tree biomass in larch-dominated forests of northeast Siberia. Applying these equations to 53 forest stands in the Republic of Sakha (Russia) resulted in significantly larger biomass stocks than when using existing equations. The data presented in this work can help refine biomass estimates in Siberian boreal forests. This is essential to assess changes in boreal vegetation and carbon dynamics.
Iris Johanna Aalto, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka
Biogeosciences, 19, 4227–4247, https://doi.org/10.5194/bg-19-4227-2022, https://doi.org/10.5194/bg-19-4227-2022, 2022
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Tree canopies are strong moderators of understory climatic conditions. In tropical areas, trees cool down the microclimates. Using remote sensing and field measurements we show how even intermediate canopy cover and agroforestry trees contributed to buffering the hottest temperatures in Kenya. The cooling effect was the greatest during hot days and in lowland areas, where the ambient temperatures were high. Adopting agroforestry practices in the area could assist in mitigating climate change.
Jing Wang and Xuefa Wen
Biogeosciences, 19, 4197–4208, https://doi.org/10.5194/bg-19-4197-2022, https://doi.org/10.5194/bg-19-4197-2022, 2022
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Excess radiation and low temperatures exacerbate drought impacts on canopy conductance (Gs) among transects. The primary determinant of drought stress on Gs was soil moisture on the Loess Plateau (LP) and the Mongolian Plateau (MP), whereas it was the vapor pressure deficit on the Tibetan Plateau (TP). Radiation exhibited a negative effect on Gs via drought stress within transects, while temperature had negative effects on stomatal conductance on the TP but no effect on the LP and MP.
Sylvain Monteux, Janine Mariën, and Eveline J. Krab
Biogeosciences, 19, 4089–4105, https://doi.org/10.5194/bg-19-4089-2022, https://doi.org/10.5194/bg-19-4089-2022, 2022
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Quantifying the feedback from the decomposition of thawing permafrost soils is crucial to establish adequate climate warming mitigation scenarios. Past efforts have focused on abiotic and to some extent microbial drivers of decomposition but not biotic drivers such as soil fauna. We added soil fauna (Collembola Folsomia candida) to permafrost, which introduced bacterial taxa without affecting bacterial communities as a whole but increased CO2 production (+12 %), presumably due to priming.
Mirjam Pfeiffer, Munir P. Hoffmann, Simon Scheiter, William Nelson, Johannes Isselstein, Kingsley Ayisi, Jude J. Odhiambo, and Reimund Rötter
Biogeosciences, 19, 3935–3958, https://doi.org/10.5194/bg-19-3935-2022, https://doi.org/10.5194/bg-19-3935-2022, 2022
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Smallholder farmers face challenges due to poor land management and climate change. We linked the APSIM crop model and the aDGVM2 vegetation model to investigate integrated management options that enhance ecosystem functions and services. Sustainable intensification moderately increased yields. Crop residue grazing reduced feed gaps but not for dry-to-wet season transitions. Measures to improve soil water and nutrient status are recommended. Landscape-level ecosystem management is essential.
Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, and Yadvinder Malhi
Biogeosciences, 19, 3649–3661, https://doi.org/10.5194/bg-19-3649-2022, https://doi.org/10.5194/bg-19-3649-2022, 2022
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We investigated dynamic nutrient flow and demand in a typical savanna and a transition forest to understand how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Savanna relied on nutrient resorption from wood, and nutrient demand was equally partitioned between leaves, wood and fine roots. Transition forest relied on resorption from the canopy biomass and nutrient demand was predominantly driven by leaves.
Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr
Biogeosciences, 19, 3317–3336, https://doi.org/10.5194/bg-19-3317-2022, https://doi.org/10.5194/bg-19-3317-2022, 2022
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Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
Chen Yang, Yue Shi, Wenjuan Sun, Jiangling Zhu, Chengjun Ji, Yuhao Feng, Suhui Ma, Zhaodi Guo, and Jingyun Fang
Biogeosciences, 19, 2989–2999, https://doi.org/10.5194/bg-19-2989-2022, https://doi.org/10.5194/bg-19-2989-2022, 2022
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Quantifying China's forest biomass C pool is important in understanding C cycling in forests. However, most of studies on forest biomass C pool were limited to the period of 2004–2008. Here, we used a biomass expansion factor method to estimate C pool from 1977 to 2018. The results suggest that afforestation practices, forest growth, and environmental changes were the main drivers of increased C sink. Thus, this study provided an essential basis for achieving China's C neutrality target.
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger, and Ralf Kiese
Biogeosciences, 19, 2699–2727, https://doi.org/10.5194/bg-19-2699-2022, https://doi.org/10.5194/bg-19-2699-2022, 2022
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Actual maps of grassland traits could improve local farm management and support environmental assessments. We developed, assessed, and applied models to estimate dry biomass and plant nitrogen (N) concentration in pre-Alpine grasslands with drone-based multispectral data and canopy height information. Our results indicate that machine learning algorithms are able to estimate both parameters but reach a better level of performance for biomass.
Ramona J. Heim, Andrey Yurtaev, Anna Bucharova, Wieland Heim, Valeriya Kutskir, Klaus-Holger Knorr, Christian Lampei, Alexandr Pechkin, Dora Schilling, Farid Sulkarnaev, and Norbert Hölzel
Biogeosciences, 19, 2729–2740, https://doi.org/10.5194/bg-19-2729-2022, https://doi.org/10.5194/bg-19-2729-2022, 2022
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Fires will probably increase in Arctic regions due to climate change. Yet, the long-term effects of tundra fires on carbon (C) and nitrogen (N) stocks and cycling are still unclear. We investigated the long-term fire effects on C and N stocks and cycling in soil and aboveground living biomass.
We found that tundra fires did not affect total C and N stocks because a major part of the stocks was located belowground in soils which were largely unaltered by fire.
Aileen B. Baird, Edward J. Bannister, A. Robert MacKenzie, and Francis D. Pope
Biogeosciences, 19, 2653–2669, https://doi.org/10.5194/bg-19-2653-2022, https://doi.org/10.5194/bg-19-2653-2022, 2022
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Forest environments contain a wide variety of airborne biological particles (bioaerosols) important for plant and animal health and biosphere–atmosphere interactions. Using low-cost sensors and a free-air carbon dioxide enrichment (FACE) experiment, we monitor the impact of enhanced CO2 on airborne particles. No effect of the enhanced CO2 treatment on total particle concentrations was observed, but a potential suppression of high concentration bioaerosol events was detected under enhanced CO2.
Melanie S. Verlinden, Hamada AbdElgawad, Arne Ven, Lore T. Verryckt, Sebastian Wieneke, Ivan A. Janssens, and Sara Vicca
Biogeosciences, 19, 2353–2364, https://doi.org/10.5194/bg-19-2353-2022, https://doi.org/10.5194/bg-19-2353-2022, 2022
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Zea mays grows in mesocosms with different soil nutrition levels. At low phosphorus (P) availability, leaf physiological activity initially decreased strongly. P stress decreased over the season. Arbuscular mycorrhizal fungi (AMF) symbiosis increased over the season. AMF symbiosis is most likely responsible for gradual reduction in P stress.
Guoyu Lan, Bangqian Chen, Chuan Yang, Rui Sun, Zhixiang Wu, and Xicai Zhang
Biogeosciences, 19, 1995–2005, https://doi.org/10.5194/bg-19-1995-2022, https://doi.org/10.5194/bg-19-1995-2022, 2022
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Little is known about the impact of rubber plantations on diversity of the Great Mekong Subregion. In this study, we uncovered latitudinal gradients of plant diversity of rubber plantations. Exotic species with high dominance result in loss of plant diversity of rubber plantations. Not all exotic species would reduce plant diversity of rubber plantations. Much more effort should be made to balance agricultural production with conservation goals in this region.
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences, 19, 1891–1911, https://doi.org/10.5194/bg-19-1891-2022, https://doi.org/10.5194/bg-19-1891-2022, 2022
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Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
Biogeosciences, 19, 1913–1932, https://doi.org/10.5194/bg-19-1913-2022, https://doi.org/10.5194/bg-19-1913-2022, 2022
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Although vegetation responds to climate at a wide range of timescales, models of the land carbon sink often ignore responses that do not occur instantly. In this study, we explore the timescales at which Australian ecosystems respond to climate. We identified that carbon and water fluxes can be modelled more accurately if we include environmental drivers from up to a year in the past. The importance of antecedent conditions is related to ecosystem aridity but is also influenced by other factors.
Qing Sun, Valentin H. Klaus, Raphaël Wittwer, Yujie Liu, Marcel G. A. van der Heijden, Anna K. Gilgen, and Nina Buchmann
Biogeosciences, 19, 1853–1869, https://doi.org/10.5194/bg-19-1853-2022, https://doi.org/10.5194/bg-19-1853-2022, 2022
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Drought is one of the biggest challenges for future food production globally. During a simulated drought, pea and barley mainly relied on water from shallow soil depths, independent of different cropping systems.
Cited articles
Agrawal, A., Nepstad, D., and Chhatre, A.: Reducing emissions from
deforestation and forest degradation, Annu. Rev. Environ. Resour., 36,
373–396, https://doi.org/10.1146/annurev-environ-042009-094508, 2011.
Asner, G. P. and Mascaro, J.: Mapping tropical forest carbon: calibrating
plot estimates to a simple LiDAR metric, Remote Sens. Environ., 140,
614–624, https://doi.org/10.1016/j.rse.2013.09.023, 2014.
Asner, G. P., Rudel, T. K., Aide, T. M., DeFries, R., and Emerson, R.: A
contemporary assessment of change in humid tropical forests, Conserv. Biol.,
23, 1386–1395, https://doi.org/10.1111/j.1523-1739.2009.01333.x, 2009.
Asner, G. P., Powell, G. V. N., Mascaro, J., Knapp, D. E., Clark, J. K.,
Jacobson, J., Kennedy-Bowdoin, T., Balaji, A., Paez-Acosta, G., Victoria,
E., Secada, L., Valqui, M., and Hughes, R. F.: High-resolution forest carbon
stocks and emissions in the Amazon, P. Natl. Acad. Sci. USA, 107,
16738–16742, https://doi.org/10.1073/pnas.1004875107, 2010.
Asner, G. P., Knapp, D. E., Boardman, J., Green, R. O., Kennedy-Bowdoin, T.,
Eastwood, M., Martin, R. E., Anderson, C., and Field, C. B.: Carnegie
Airborne Observatory-2: increasing science data dimensionality via
high-fidelity multi-sensor fusion, Remote Sens. Environ., 124, 454–465,
https://doi.org/10.1016/j.rse.2012.06.012, 2012.
Asner, G. P., Knapp, D. E., Martin, R. E., Tupayachi, R., Anderson, C. B.,
Mascaro, J., Sinca, F., Chadwick, K. D., Higgins, M., Farfan, W., Llactayo,
W., and Silman, M. R.: Targeted carbon conservation at national scales with
high-resolution monitoring, P. Natl. Acad. Sci. USA, 111, E5016–E5022,
https://doi.org/10.1073/pnas.1419550111, 2014.
Asner, G. P., Brodrick, P. G., Philipson, C., Vaughn, N. R., Martin, R. E.,
Knapp, D. E., Heckler, J., Evans, L. J., Jucker, T., Goossens, B., Stark, D.
J., Reynolds, G., Ong, R., Renneboog, N., Kugan, F., and Coomes, D. A.:
Mapped aboveground carbon stocks to advance forest conservation and recovery
in Malaysian Borneo, Biol. Conserv., 217, 289–310,
https://doi.org/10.1016/j.biocon.2017.10.020, 2018.
Avitabile, V., Herold, M., Heuvelink, G. B. M., Lewis, S. L., Phillips, O.
L., Asner, G. P., Armston, J., Asthon, P., Banin, L. F., Bayol, N., Berry,
N., Boeckx, P., de Jong, B., DeVries, B., Girardin, C., Kearsley, E.,
Lindsell, J. A., Lopez-Gonzalez, G., Lucas, R., Malhi, Y., Morel, A.,
Mitchard, E., Nagy, L., Qie, L., Quinones, M., Ryan, C. M., Slik, F.,
Sunderland, T., Vaglio Laurin, G., Valentini, R., Verbeeck, H., Wijaya, A.,
and Willcock, S.: An integrated pan-tropical biomass map using multiple
reference datasets, Glob. Change Biol., 22, 1406–1420,
https://doi.org/10.1111/gcb.13139, 2016.
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M.,
Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A.,
Samanta, S., and Houghton, R. A.: Estimated carbon dioxide emissions from
tropical deforestation improved by carbon-density maps, Nat. Clim. Change,
2, 182–185, https://doi.org/10.1038/nclimate1354, 2012.
Banin, L., Feldpausch, T. R., Phillips, O. L., Baker, T. R., Lloyd, J.,
Affum-Baffoe, K., Arets, E. J. M. M., Berry, N. J., Bradford, M., Brienen,
R. J. W., Davies, S., Drescher, M., Higuchi, N., Hilbert, D. W., Hladik, A.,
Iida, Y., Salim, K. A., Kassim, A. R., King, D. A., Lopez-Gonzalez, G.,
Metcalfe, D., Nilus, R., Peh, K. S. H., Reitsma, J. M., Sonké, B.,
Taedoumg, H., Tan, S., White, L., Wöll, H., and Lewis, S. L.: What
controls tropical forest architecture? Testing environmental, structural and
floristic drivers, Glob. Ecol. Biogeogr., 21, 1179–1190,
https://doi.org/10.1111/j.1466-8238.2012.00778.x, 2012.
Baskerville, G. L.: Use of logarithmic regression in the estimation of plant
biomass, Can. J. For. Res., 2, 49–53, 1972.
Bastin, J.-F., Barbier, N., Réjou-Méchain, M., Fayolle, A.,
Gourlet-Fleury, S., Maniatis, D., de Haulleville, T., Baya, F., Beeckman,
H., Beina, D., Couteron, P., Chuyong, G., Dauby, G., Doucet, J.-L.,
Droissart, V., Dufrêne, M., Ewango, C., Gillet, J. F., Gonmadje, C. H.,
Hart, T., Kavali, T., Kenfack, D., Libalah, M., Malhi, Y., Makana, J.-R.,
Pélissier, R., Ploton, P., Serckx, A., Sonké, B., Stevart, T.,
Thomas, D. W., De Cannière, C., and Bogaert, J.: Seeing Central African
forests through their largest trees, Sci. Rep., 5, 13156,
https://doi.org/10.1038/srep13156, 2015.
Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M.,
Culvenor, D., Avitabile, V., Disney, M., Armston, J., and Kaasalainen, M.:
Nondestructive estimates of above-ground biomass using terrestrial laser
scanning, Methods Ecol. Evol., 6, 198–208, https://doi.org/10.1111/2041-210X.12301,
2015.
Carlson, K. M., Curran, L. M., Asner, G. P., Pittman, A. M., Trigg, S. N.,
and Marion Adeney, J.: Carbon emissions from forest conversion by Kalimantan
oil palm plantations, Nat. Clim. Change, 3, 283–287,
https://doi.org/10.1038/nclimate1702, 2012a.
Carlson, K. M., Curran, L. M., Ratnasari, D., Pittman, A. M., Soares-Filho,
B. S., Asner, G. P., Trigg, S. N., Gaveau, D. a, Lawrence, D., and Rodrigues,
H. O.: Committed carbon emissions, deforestation, and community land
conversion from oil palm plantation expansion in West Kalimantan,
Indonesia., P. Natl. Acad. Sci. USA, 109, 1–6, https://doi.org/10.1073/pnas.1200452109,
2012b.
Chave, J., Condit, R., Aguilar, S., Hernandez, A., Lao, S., and Perez, R.:
Error propagation and scaling for tropical forest biomass estimates, Philos.
T. R. Soc. B, 359, 409–20, https://doi.org/10.1098/rstb.2003.1425, 2004.
Chave, J., Coomes, D. A., Jansen, S., Lewis, S. L., Swenson, N. G., and
Zanne, A. E.: Towards a worldwide wood economics spectrum, Ecol. Lett., 12,
351–366, https://doi.org/10.1111/j.1461-0248.2009.01285.x, 2009.
Chave, J., Réjou-Méchain, M., Búrquez, A., Chidumayo, E.,
Colgan, M. S., Delitti, W. B. C., Duque, A., Eid, T., Fearnside, P. M.,
Goodman, R. C., Henry, M., Martínez-Yrízar, A., Mugasha, W. A.,
Muller-Landau, H. C., Mencuccini, M., Nelson, B. W., Ngomanda, A., Nogueira,
E. M., Ortiz-Malavassi, E., Pélissier, R., Ploton, P., Ryan, C. M.,
Saldarriaga, J. G., and Vieilledent, G.: Improved allometric models to
estimate the aboveground biomass of tropical trees, Glob. Change Biol., 20,
3177–3190, https://doi.org/10.1111/gcb.12629, 2014.
Chen, Q., Vaglio Laurin, G., and Valentini, R.: Uncertainty of remotely
sensed aboveground biomass over an African tropical forest: Propagating
errors from trees to plots to pixels, Remote Sens. Environ., 160, 134–143,
https://doi.org/10.1016/j.rse.2015.01.009, 2015.
Clark, M. L., Roberts, D. A., Ewel, J. J., and Clark, D. B.: Estimation of
tropical rain forest aboveground biomass with small-footprint lidar and
hyperspectral sensors, Remote Sens. Environ., 115, 2931–2942,
https://doi.org/10.1016/j.rse.2010.08.029, 2011.
Colgan, M. S., Asner, G. P., Levick, S. R., Martin, R. E., and Chadwick, O. A.:
Topo-edaphic controls over woody plant biomass in South African
savannas, Biogeosciences, 9, 1809–1821, https://doi.org/10.5194/bg-9-1809-2012, 2012.
Coomes, D. A., Dalponte, M., Jucker, T., Asner, G. P., Banin, L. F.,
Burslem, D. F. R. P., Lewis, S. L., Nilus, R., Phillips, O. L., Phuag,
M.-H., Qiee, L., Phua, M.-H., and Qie, L.: Area-based vs tree-centric
approaches to mapping forest carbon in Southeast Asian forests with airborne
laser scanning data, Remote Sens. Environ., 194, 77–88,
https://doi.org/10.1016/j.rse.2017.03.017, 2017.
Dent, D. H., Bagchi, R., Robinson, D., Majalap-Lee, N., and Burslem, D. F. R.
P.: Nutrient fluxes via litterfall and leaf litter decomposition vary across
a gradient of soil nutrient supply in a lowland tropical rain forest, Plant
Soil, 288, 197–215, https://doi.org/10.1007/s11104-006-9108-1, 2006.
DeWalt, S. J. S. S. J., Ickes, K., Nilus, R., Harms, K. E. K., and Burslem,
D. D. F. R. P.: Liana habitat associations and community structure in a
Bornean lowland tropical forest, Plant Ecol., 186, 203–216,
https://doi.org/10.1007/s11258-006-9123-6, 2006.
D'Oliveira, M. V. N., Reutebuch, S. E., McGaughey, R. J., and Andersen,
H.-E.: Estimating forest biomass and identifying low-intensity logging areas
using airborne scanning lidar in Antimary State Forest, Acre State, Western
Brazilian Amazon, Remote Sens. Environ., 124, 479–491,
https://doi.org/10.1016/j.rse.2012.05.014, 2012.
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré,
G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J.,
Münkemüller, T., McClean, C., Osborne, P. E., Reineking, B.,
Schröder, B., Skidmore, A. K., Zurell, D., and Lautenbach, S.:
Collinearity: A review of methods to deal with it and a simulation study
evaluating their performance, Ecography, 36, 27–46,
https://doi.org/10.1111/j.1600-0587.2012.07348.x, 2013.
Drake, J. B., Dubayah, R. O., Clark, D. B., Knox, R. G., Blair, J. B. B.,
Hofton, M. A., Chazdon, R. L., Weishampel, J. F., and Prince, S. D.:
Estimation of tropical forest structural characteristics using
large-footprint lidar, Remote Sens. Environ., 79, 305–319,
https://doi.org/10.1016/S0034-4257(01)00281-4, 2002.
Duncanson, L. I., Dubayah, R. O., Cook, B. D., Rosette, J., and Parker, G.:
The importance of spatial detail: Assessing the utility of individual crown
information and scaling approaches for lidar-based biomass density
estimation, Remote Sens. Environ., 168, 102–112,
https://doi.org/10.1016/j.rse.2015.06.021, 2015.
Ene, L. T., Næsset, E., Gobakken, T., Gregoire, T. G., Ståhl, G., and
Nelson, R.: Assessing the accuracy of regional LiDAR-based biomass
estimation using a simulation approach, Remote Sens. Environ., 123,
579–592, https://doi.org/10.1016/j.rse.2012.04.017, 2012.
Ewers, R. M., Didham, R. K., Fahrig, L., Ferraz, G., Hector, A., Holt, R. D.,
and Turner, E. C.: A large-scale forest fragmentation experiment: the
Stability of Altered Forest Ecosystems Project, Philos. T. R. Soc. B,
366, 3292–3302, https://doi.org/10.1098/rstb.2011.0049, 2011.
Feldpausch, T. R., Banin, L., Phillips, O. L., Baker, T. R., Lewis, S. L., Quesada, C. A.,
Affum-Baffoe, K., Arets, E. J. M. M., Berry, N. J., Bird, M., Brondizio, E. S.,
de Camargo, P., Chave, J., Djagbletey, G., Domingues, T. F., Drescher, M.,
Fearnside, P. M., França, M. B., Fyllas, N. M., Lopez-Gonzalez, G., Hladik, A.,
Higuchi, N., Hunter, M. O., Iida, Y., Salim, K. A., Kassim, A. R., Keller, M., Kemp, J.,
King, D. A., Lovett, J. C., Marimon, B. S., Marimon-Junior, B. H., Lenza, E.,
Marshall, A. R., Metcalfe, D. J., Mitchard, E. T. A., Moran, E. F., Nelson, B. W.,
Nilus, R., Nogueira, E. M., Palace, M., Patiño, S., Peh, K. S.-H., Raventos, M. T.,
Reitsma, J. M., Saiz, G., Schrodt, F., Sonké, B., Taedoumg, H. E., Tan, S.,
White, L., Wöll, H., and Lloyd, J.: Height-diameter allometry of tropical
forest trees, Biogeosciences, 8, 1081–1106, https://doi.org/10.5194/bg-8-1081-2011, 2011.
Fox, J. E. D.: A handbook to Kabili-Sepilok Forest Reserve, Sabah Forest
Record No. 9, Borneo Literature Bureau, Kuching, Sarawak, Malaysia, 1973.
Gaveau, D. L. A., Sloan, S., Molidena, E., Yaen, H., Sheil, D., Abram, N.
K., Ancrenaz, M., Nasi, R., Quinones, M., Wielaard, N., and Meijaard, E.:
Four decades of forest persistence, clearance and logging on Borneo, PLoS
One, 9, e101654, https://doi.org/10.1371/journal.pone.0101654, 2014.
Gaveau, D. L. A., Sheil, D., Husnayaen, Salim, M. A., Arjasakusuma, S.,
Ancrenaz, M., Pacheco, P., and Meijaard, E.: Rapid conversions and avoided
deforestation: examining four decades of industrial plantation expansion in
Borneo, Sci. Rep., 6, 32017, https://doi.org/10.1038/srep32017, 2016.
Ghazoul, J.: Dipterocarp Biology, Ecology, and Conservation, Oxford
University Press, Oxford, UK, 2016.
Gibbs, H. K., Brown, S., Niles, J. O., and Foley, J. A.: Monitoring and
estimating tropical forest carbon stocks: making REDD a reality, Environ.
Res. Lett., 2, 045023, https://doi.org/10.1088/1748-9326/2/4/045023, 2007.
Gobakken, T. and Næsset, E.: Assessing effects of laser point density,
ground sampling intensity, and field sample plot size on biophysical stand
properties derived from airborne laser scanner data, Can. J. Forest Res., 38,
1095–1109, https://doi.org/10.1139/X07-219, 2008.
Gonzalez, P., Asner, G. P., Battles, J. J., Lefsky, M. A., Waring, K. M., and
Palace, M.: Forest carbon densities and uncertainties from Lidar, QuickBird,
and field measurements in California, Remote Sens. Environ., 114,
1561–1575, https://doi.org/10.1016/j.rse.2010.02.011, 2010.
Gonzalez de Tanago Menaca, J., Lau, A., Bartholomeusm, H., Herold, M.,
Avitabile, V., Raumonen, P., Martius, C., Goodman, R., Disney, M., Manuri,
S., Burt, A., and Calders, K.: Estimation of above-ground biomass of large
tropical trees with Terrestrial LiDAR, Methods Ecol. Evol., 8, 223–234,
https://doi.org/10.1111/2041-210X.12904, 2017.
Gregoire, T. G., Næsset, E., McRoberts, R. E., Ståhl, G., Andersen,
H.-E., Gobakken, T., Ene, L., and Nelson, R.: Statistical rigor in
LiDAR-assisted estimation of aboveground forest biomass, Remote Sens.
Environ., 173, 98–108, https://doi.org/10.1016/j.rse.2015.11.012, 2016.
Hansen, E., Gobakken, T., Bollandsås, O., Zahabu, E., and Næsset, E.:
Modeling aboveground biomass in dense tropical submontane rainforest using
airborne laser scanner data, Remote Sens., 7, 788–807,
https://doi.org/10.3390/rs70100788, 2015.
Hansen, M. C., Potapov, P. V, Moore, R., Hancher, M., Turubanova, S. A.,
Tyukavina, A., Thau, D., Stehman, S. V, Goetz, S. J., Loveland, T. R.,
Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townshend, J. R.
G.: High-resolution global maps of 21st-century forest cover change,
Science, 342, 850–853, https://doi.org/10.1126/science.1244693, 2013.
Houghton, R. A., Byers, B., and Nassikas, A. A.: A role for tropical forests
in stabilizing atmospheric CO2, Nat. Clim. Change, 5, 1022–1023,
https://doi.org/10.1038/nclimate2869, 2015.
Ioki, K., Tsuyuki, S., Hirata, Y., Phua, M.-H., Wong, W. V. C., Ling, Z.-Y.,
Saito, H., and Takao, G.: Estimating above-ground biomass of tropical
rainforest of different degradation levels in Northern Borneo using airborne
LiDAR, Forest Ecol. Manag., 328, 335–341, https://doi.org/10.1016/j.foreco.2014.06.003,
2014.
Jubanski, J., Ballhorn, U., Kronseder, K., Franke, J., and Siegert, F.: Detection of
large above-ground biomass variability in lowland forest ecosystems by
airborne LiDAR, Biogeosciences, 10, 3917–3930, https://doi.org/10.5194/bg-10-3917-2013, 2013.
Jucker, T., Bongalov, B., Burslem, D. F. R. P., Nilus, R., Dalponte, M.,
Lewis, S. L., Phillips, O. L., Qie, L., and Coomes, D. A.: Topography shapes
the structure, composition and function of tropical forest landscapes, Ecol.
Lett., 21, 989–1000, https://doi.org/10.1111/ele.12964, 2018.
Lamb, D., Erskine, P. D., and Parrotta, J. A.: Restoration of degraded
tropical forest landscapes, Science, 310, 1628–1632, 2005.
Laurin, G. V., Cheung-Wai Chan, J., Chen, Q., Lindsell, J. A., Coomes, D.
A., Guerriero, L., Del Frate, F., Miglietta, F., and Valentini, R.:
Biodiversity mapping in a tropical West African forest with airborne
hyperspectral data, PLoS One, 9, e97910, https://doi.org/10.1371/journal.pone.0097910,
2014.
Lefsky, M., Cohen, W., Acker, S., and Parker, G.: Lidar remote sensing of the
canopy structure and biophysical properties of Douglas-fir western hemlock
forests, Remote Sens. Environ., 70, 339–361, 1999.
Lefsky, M. A., Cohen, W. B., Parker, G. G., and Harding, D. J.: Lidar remote
sensing for ecosystem studies, BioScience, 52, 19–30,
https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2, 2002.
Malhi, Y. and Wright, J.: Spatial patterns and recent trends in the climate
of tropical rainforest regions, Philos. T. R. Soc. B, 359, 311–329,
https://doi.org/10.1098/rstb.2003.1433, 2004.
Martin, A. R. and Thomas, S. C.: A reassessment of carbon content in
tropical trees, PLoS One, 6, e23533, https://doi.org/10.1371/journal.pone.0023533, 2011.
McRoberts, R. E., Næsset, E., and Gobakken, T.: Inference for
lidar-assisted estimation of forest growing stock volume, Remote Sens.
Environ., 128, 268–275, https://doi.org/10.1016/j.rse.2012.10.007, 2013.
Meyer, V., Saatchi, S., Clark, D. B., Keller, M., Vincent, G., Ferraz, A.,
Espírito-Santo, F., d'Oliveira, M. V. N., Kaki, D., and Chave, J.:
Canopy area of large trees explains aboveground biomass variations across
neotropical forest landscapes, Biogeosciences, 15, 3377–3390, https://doi.org/10.5194/bg-15-3377-2018,
2018.
Mitchard, E. T. A., Feldpausch, T. R., Brienen, R. J. W., Lopez-Gonzalez,
G., Monteagudo, A., Baker, T. R., Lewis, S. L., Lloyd, J., Quesada, C. A.,
Gloor, M., ter Steege, H., Meir, P., Alvarez, E., Araujo-Murakami, A.,
Aragão, L. E. O. C., Arroyo, L., Aymard, G., Banki, O., Bonal, D.,
Brown, S., Brown, F. I., Cerón, C. E., Chama Moscoso, V., Chave, J.,
Comiskey, J. A., Cornejo, F., Corrales Medina, M., Da Costa, L., Costa, F.
R. C., Di Fiore, A., Domingues, T. F., Erwin, T. L., Frederickson, T.,
Higuchi, N., Honorio Coronado, E. N., Killeen, T. J., Laurance, W. F.,
Levis, C., Magnusson, W. E., Marimon, B. S., Marimon Junior, B. H., Mendoza
Polo, I., Mishra, P., Nascimento, M. T., Neill, D., Núñez Vargas, M.
P., Palacios, W. A., Parada, A., Pardo Molina, G., Peña-Claros, M.,
Pitman, N., Peres, C. A., Poorter, L., Prieto, A., Ramirez-Angulo, H.,
Restrepo Correa, Z., Roopsind, A., Roucoux, K. H., Rudas, A., Salomão,
R. P., Schietti, J., Silveira, M., de Souza, P. F., Steininger, M. K.,
Stropp, J., Terborgh, J., Thomas, R., Toledo, M., Torres-Lezama, A., van
Andel, T. R., van der Heijden, G. M. F., Vieira, I. C. G., Vieira, S.,
Vilanova-Torre, E., Vos, V. A., Wang, O., Zartman, C. E., Malhi, Y., and
Phillips, O. L.: Markedly divergent estimates of Amazon forest carbon
density from ground plots and satellites, Glob. Ecol. Biogeogr., 23,
935–946, https://doi.org/10.1111/geb.12168, 2014.
Morales, J. L. and Nocedal, J.: Remark on Algorithm 778: L-BFGS-B, FORTRAN
routines for large scale bound constrained optimization, ACM Trans. Math.
Softw., 38, available at: http://www.ece.northwestern.edu/~morales/PSfiles/acm-remark.pdf (last access: 20 June 2018), 2011.
Nelson, R., Krabill, W., and Tonelli, J.: Estimating forest biomass and
volume using airborne laser data, Remote Sens. Environ., 24, 247–267, 1988.
Nilus, R., Maycock, C., Majalap-Lee, N., and Burslem, D.: Nutrient limitation
of tree seedling growth in three soil types found in Sabah, J. Trop. For.
Sci., 23, 133–142, 2011.
Ni-Meister, W., Lee, S., Strahler, A. H., Woodcock, C. E., Schaaf, C., Yao,
T., Ranson, K. J., Sun, G., and Blair, J. B.: Assessing general relationships
between aboveground biomass and vegetation structure parameters for improved
carbon estimate from lidar remote sensing, J. Geophys. Res.-Biogeosci.,
115, G00E11, https://doi.org/10.1029/2009JG000936, 2010.
Nunes, M. H., Ewers, R. M., Turner, E. C., and Coomes, D. A.: Mapping
aboveground carbon in oil palm plantations using LiDAR: A comparison of
tree-centric versus area-based approaches, Remote Sens., 9, 1–13,
https://doi.org/10.3390/rs9080816, 2017.
Osman, R., Phua, M.-H., Ling, Z. Y., and Kamlun, K. U.: Monitoring of
deforestation rate and trend in Sabah between 1990 and 2008 using
multitemporal landsat data, J. For. Environ. Sci., 28, 144–151,
https://doi.org/10.7747/JFS.2012.28.3.144, 2012.
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R. A., Kauppi, P. E., Kurz, W.
A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais,
P., Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S., Rautiainen, A.,
Sitch, S., Hayes, D., Canadell, J. G., Khatiwala, S., Primeau, F., Hall, T.,
Quéré, C. Le, Dixon, R. K., Kauppi, P. E., Kurz, W. A., Stinson, G.,
Rampley, G. J., Dymond, C. C., Neilson, E. T., Stinson, G., Birdsey, R. A.,
Pregitzer, K., Lucier, A., Kauppi, P. E., Pan, Y., Pan, Y., Birdsey, R. A.,
Hom, J., McCullough, K., van Mantgem, P. J., Breshears, D. D., Ciais, P.,
Fang, J., Chen, A., Peng, C., Zhao, S., Ci, L., Lewis, S. L., Phillips, O.
L., Gloor, M., Lewis, S. L., Lloyd, J., Sitch, S., Mitchard, E. T. A.,
Laurance, W. F., Houghton, R. A., Friedlingstein, P., Tarnocai, C., Hooijer,
A., Page, S. E., Rieley, J. O., Banks, C. J., McGuire, A. D., Goodale, C.
L., Sarmiento, J. L., Schulze, E. D., Pacala, S. W., Phillips, O. L.,
Metsaranta, J. M., Kurz, W. A., Neilson, E. T., Stinson, G., Zhao, M.,
Running, S. W., and Houghton, R. A.: A large and persistent carbon sink in
the world's forests, Science, 333, 988–993, https://doi.org/10.1126/science.1201609,
2011.
Pfeifer, M., Kor, L., Nilus, R., Turner, E., Cusack, J., Lysenko, I., Khoo,
M., Chey, V. K., Chung, A. C., and Ewers, R. M.: Mapping the structure of
Borneo's tropical forests across a degradation gradient, Remote Sens.
Environ., 176, 84–97, https://doi.org/10.1016/j.rse.2016.01.014, 2016.
Pflugmacher, D., Cohen, W. B., and Kennedy, R. E.: Using Landsat-derived
disturbance history (1972–2010) to predict current forest structure, Remote
Sens. Environ., 122, 146–165, https://doi.org/10.1016/j.rse.2011.09.025, 2012.
Phillips, O. L., Malhi, Y., Higuchi, N., Laurance, W. F., Núñez, P.
V, Vásquez, R. M., Laurance, S. G., Ferreira, L. V., Stern, M., Brown,
S.,
and Grace, J.: Changes in the carbon balance of tropical forests: Evidence
from long-term plots, Science, 282, 439–442, 1998.
Popescu, S. C., Zhao, K., Neuenschwander, A., and Lin, C.: Satellite lidar
vs. small footprint airborne lidar: Comparing the accuracy of aboveground
biomass estimates and forest structure metrics at footprint level, Remote
Sens. Environ., 115, 1–12, https://doi.org/10.1016/j.rse.2011.01.026, 2011.
Quesada, C. A., Phillips, O. L., Schwarz, M., Czimczik, C. I., Baker, T. R.,
Patiño, S., Fyllas, N. M., Hodnett, M. G., Herrera, R., Almeida, S.,
Alvarez Dávila, E., Arneth, A., Arroyo, L., Chao, K. J., Dezzeo, N., Erwin, T.,
di Fiore, A., Higuchi, N., Honorio Coronado, E., Jimenez, E. M., Killeen, T.,
Lezama, A. T., Lloyd, G., López-González, G., Luizão, F. J., Malhi, Y.,
Monteagudo, A., Neill, D. A., Núñez Vargas, P., Paiva, R., Peacock, J.,
Peñuela, M. C., Peña Cruz, A., Pitman, N., Priante Filho, N.,
Prieto, A., Ramírez, H., Rudas, A., Salomão, R., Santos, A. J. B.,
Schmerler, J., Silva, N., Silveira, M., Vásquez, R., Vieira, I., Terborgh, J.,
and Lloyd, J.: Basin-wide variations in Amazon forest structure and
function are mediated by both soils and
climate, Biogeosciences, 9, 2203–2246, https://doi.org/10.5194/bg-9-2203-2012, 2012.
R Core Development Team: R: A language and environment for statistical
computing, R Foundation for Statistical Computing, Vienna, Austria, 2016.
Réjou-Méchain, M., Muller-Landau, H. C., Detto, M., Thomas, S. C.,
Le Toan, T., Saatchi, S. S., Barreto-Silva, J. S., Bourg, N. A., Bunyavejchewin, S.,
Butt, N., Brockelman, W. Y., Cao, M., Cárdenas, D., Chiang, J.-M.,
Chuyong, G. B., Clay, K., Condit, R., Dattaraja, H. S., Davies, S. J., Duque, A.,
Esufali, S., Ewango, C., Fernando, R. H. S., Fletcher, C. D., Gunatilleke, I. A. U. N.,
Hao, Z., Harms, K. E., Hart, T. B., Hérault, B., Howe, R. W., Hubbell, S. P.,
Johnson, D. J., Kenfack, D., Larson, A. J., Lin, L., Lin, Y., Lutz, J. A.,
Makana, J.-R., Malhi, Y., Marthews, T. R., McEwan, R. W., McMahon, S. M.,
McShea, W. J., Muscarella, R., Nathalang, A., Noor, N. S. M., Nytch, C. J.,
Oliveira, A. A., Phillips, R. P., Pongpattananurak, N., Punchi-Manage, R.,
Salim, R., Schurman, J., Sukumar, R., Suresh, H. S., Suwanvecho, U.,
Thomas, D. W., Thompson, J., Uríarte, M., Valencia, R., Vicentini, A.,
Wolf, A. T., Yap, S., Yuan, Z., Zartman, C. E., Zimmerman, J. K., and Chave, J.:
Local spatial structure of forest biomass and its consequences for remote
sensing of carbon stocks, Biogeosciences, 11, 6827–6840, https://doi.org/10.5194/bg-11-6827-2014, 2014.
Réjou-Méchain, M., Tymen, B., Blanc, L., Fauset, S., Feldpausch, T.
R., Monteagudo, A., Phillips, O. L., Richard, H., and Chave, J.: Using
repeated small-footprint LiDAR acquisitions to infer spatial and temporal
variations of a high-biomass Neotropical forest, Remote Sens. Environ., 169,
93–101, https://doi.org/10.1016/j.rse.2015.08.001, 2015.
Réjou-Méchain, M., Tanguy, A., Piponiot, C., Chave, J., and
Hérault, B.: BIOMASS: An R Package for estimating aboveground biomass
and its uncertainty in tropical forests, Methods Ecol. Evol., 8, 1163–1167,
https://doi.org/10.1111/2041-210X.12753, 2017.
Roussel, J.-R., Caspersen, J., Béland, M., Thomas, S., and Achim, A.:
Removing bias from LiDAR-based estimates of canopy height: Accounting for
the effects of pulse density and footprint size, Remote Sens. Environ., 198,
1–16, https://doi.org/10.1016/j.rse.2017.05.032, 2017.
Ruiz, L., Hermosilla, T., Mauro, F., and Godino, M.: Analysis of the
influence of plot size and LiDAR density on forest structure attribute
estimates, Forests, 5, 936–951, https://doi.org/10.3390/f5050936, 2014.
Rutishauser, E., Noor'an, F., Laumonier, Y., Halperin, J., Rufi'ie,
Hergoualc'h, K., and Verchot, L.: Generic allometric models including height
best estimate forest biomass and carbon stocks in Indonesia, Forest Ecol.
Manag., 307, 219–225, https://doi.org/10.1016/j.foreco.2013.07.013, 2013.
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M., Mitchard, E. T. A.,
Salas, W., Zutta, B. R., Buermann, W., Lewis, S. L., Hagen, S., Petrova, S.,
White, L., Silman, M., and Morel, A.: Benchmark map of forest carbon stocks
in tropical regions across three continents, P. Natl. Acad. Sci. USA, 108,
9899–9904, https://doi.org/10.1073/pnas.1019576108, 2011.
Särndal, C.-E., Swensson, B., and Wretman, J. H.: Model
assisted survey sampling, Springer-Verlag, New York, USA, 1992.
Singh, M., Evans, D., Coomes, D. A., Friess, D. A., Suy Tan, B., and Samean
Nin, C.: Incorporating canopy cover for airborne-derived assessments of
forest biomass in the tropical forests of Cambodia, PLoS One, 11, e0154307,
https://doi.org/10.1371/journal.pone.0154307, 2016.
Slik, J. W. F., Aiba, S. I., Brearley, F. Q., Cannon, C. H., Forshed, O.,
Kitayama, K., Nagamasu, H., Nilus, R., Payne, J., Paoli, G., Poulsen, A. D.,
Raes, N., Sheil, D., Sidiyasa, K., Suzuki, E., and van Valkenburg, J. L. C.
H.: Environmental correlates of tree biomass, basal area, wood specific
gravity and stem density gradients in Borneo's tropical forests, Glob. Ecol.
Biogeogr., 19, 50–60, https://doi.org/10.1111/j.1466-8238.2009.00489.x, 2010.
Slik, J. W. F. F., Bernard, C. S., Breman, F. C., Van Beek, M., Salim, A.,
and Sheil, D.: Wood density as a conservation tool: quantification of
disturbance and identification of conservation-priority areas in tropical
forests, Conserv. Biol., 22, 1299–1308,
https://doi.org/10.1111/j.1523-1739.2008.00986.x, 2008.
Spriggs, R.: Robust methods for estimating forest stand characteristics
across landscapes using airborne LiDAR, University of Cambridge, Cambridge, UK, 2015.
Struebig, M. J., Turner, A., Giles, E., Lasmana, F., Tollington, S.,
Bernard, H., and Bell, D.: Quantifying the biodiversity value of repeatedly
logged rainforests: gradient and comparative approaches from Borneo, Adv.
Ecol. Res., 48, 183–224, https://doi.org/10.1016/B978-0-12-417199-2.00003-3, 2013.
Vincent, G., Sabatier, D., and Rutishauser, E.: Revisiting a universal
airborne light detection and ranging approach for tropical forest carbon
mapping: scaling-up from tree to stand to landscape, Oecologia, 175,
439–443, https://doi.org/10.1007/s00442-014-2913-y, 2014.
Vira, B., Christoph, W., and Mansourian, S.: Forests, Trees and Landscapes
for Food Security and Nutrition – A Global Assessment Report, IUFRO World Series Volume 33, Vienna, 2015.
Walsh, R. P. D. and Newbery, D. M.: The ecoclimatology of Danum, Sabah, in
the context of the world's rainforest regions, with particular reference to
dry periods and their impact, Philos. T. R. Soc. B, 354, 1869–1883,
https://doi.org/10.1098/rstb.1999.0528, 1999.
Watt, M. S., Adams, T., Gonzalez Aracil, S., Marshall, H., and Watt, P.: The
influence of LiDAR pulse density and plot size on the accuracy of New
Zealand plantation stand volume equations, New Zeal. J. For. Sci., 43, 15,
https://doi.org/10.1186/1179-5395-43-15, 2013.
Wulder, M. A., White, J. C., Nelson, R. F., Næsset, E., Ørka, H. O.,
Coops, N. C., Hilker, T., Bater, C. W., and Gobakken, T.: Lidar sampling for
large-area forest characterization: A review, Remote Sens. Environ., 121,
196–209, https://doi.org/10.1016/j.rse.2012.02.001, 2012.
Yanai, R. D., Battles, J. J., Richardson, A. D., Blodgett, C. A., Wood, D.
M., and Rastetter, E. B.: Estimating uncertainty in ecosystem budget
calculations, Ecosystems, 13, 239–248, https://doi.org/10.1007/s10021-010-9315-8, 2010.
Zanne, A. E., Lopez-Gonzalez, G., Coomes, D. A., Ilic, J., Jansen, S.,
Lewis, S. L., Miller, R. B., Swenson, N. G., Wiemann, M. C., and Chave, J.:
Global wood density database, Dryad Digit. Repos.,
https://doi.org/10.5061/dryad.234, 2009.
Zolkos, S. G., Goetz, S. J., and Dubayah, R.: A meta-analysis of terrestrial
aboveground biomass estimation using lidar remote sensing, Remote Sens.
Environ., 128, 289–298, https://doi.org/10.1016/j.rse.2012.10.017, 2013.
Short summary
Efforts to protect tropical forests hinge on recognizing the ecosystem services they provide, including their ability to store carbon. Airborne laser scanning (ALS) captures information on the 3-D structure of forests, allowing carbon stocks to be mapped. By combining ALS with data from 173 field plots on the island of Borneo, we develop a simple yet general model for estimating forest carbon stocks from the air. Our model underpins ongoing efforts to restore Borneo's unique tropical forests.
Efforts to protect tropical forests hinge on recognizing the ecosystem services they provide,...
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