Articles | Volume 13, issue 4
https://doi.org/10.5194/bg-13-961-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-961-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Feb 2016
Research article |
| 19 Feb 2016
Modelling above-ground carbon dynamics using multi-temporal airborne lidar: insights from a Mediterranean woodland
W. Simonson
CORRESPONDING AUTHOR
Forest Ecology and Conservation Group, Department of Plant
Sciences, University of Cambridge, Cambridge CB2 3EA, UK
current address: United Nations Environment Programme World
Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge CB3 0DL, UK
P. Ruiz-Benito
Biological and Environmental Sciences, School of Natural Sciences,
University of Stirling, Stirling, FK9 4LA, UK
Forest Ecology and Restoration Group, Department of Life Sciences,
University of Alcalá, Science Building, Campus Universitario, 28871
Alcalá de Henares, Madrid
F. Valladares
Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, E28006
Madrid, Spain
Departamento de Ciencias, Universidad Rey Juan Carlos, Mostoles,
Madrid, Spain
D. Coomes
Forest Ecology and Conservation Group, Department of Plant
Sciences, University of Cambridge, Cambridge CB2 3EA, UK
Related authors
No articles found.
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
Short summary
Short summary
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.
Tommaso Jucker, Gregory P. Asner, Michele Dalponte, Philip G. Brodrick, Christopher D. Philipson, Nicholas R. Vaughn, Yit Arn Teh, Craig Brelsford, David F. R. P. Burslem, Nicolas J. Deere, Robert M. Ewers, Jakub Kvasnica, Simon L. Lewis, Yadvinder Malhi, Sol Milne, Reuben Nilus, Marion Pfeifer, Oliver L. Phillips, Lan Qie, Nathan Renneboog, Glen Reynolds, Terhi Riutta, Matthew J. Struebig, Martin Svátek, Edgar C. Turner, and David A. Coomes
Biogeosciences, 15, 3811–3830, https://doi.org/10.5194/bg-15-3811-2018, https://doi.org/10.5194/bg-15-3811-2018, 2018
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Related subject area
Biogeochemistry: Modelling, Terrestrial
Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework
Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model
When and why microbial-explicit soil organic carbon models can be unstable
The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
Climate-based prediction of carbon fluxes from deadwood in Australia
Integration of tree hydraulic processes and functional impairment to capture the drought resilience of a semiarid pine forest
The effect of temperature on photosystem II efficiency across plant functional types and climate
Modeling microbial carbon fluxes and stocks in global soils from 1901 to 2016
Elevated atmospheric CO2 concentration and vegetation structural changes contributed to gross primary productivity increase more than climate and forest cover changes in subtropical forests of China
Mechanisms of soil organic carbon and nitrogen stabilization in mineral associated organic matter – Insights from modelling in phase space
Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem
Modelled forest ecosystem carbon–nitrogen dynamics with integrated mycorrhizal processes under elevated CO2
A chemical kinetics theory for interpreting the non-monotonic temperature dependence of enzymatic reactions
Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle
Multiscale assessment of North American terrestrial carbon balance
Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site
2001–2022 global gross primary productivity dataset using an ensemble model based on random forest
X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X
Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes
Tropical dry forest response to nutrient fertilization: a model validation and sensitivity analysis
Connecting competitor, stress-tolerator and ruderal (CSR) theory and Lund Potsdam Jena managed Land 5 (LPJmL 5) to assess the role of environmental conditions, management and functional diversity for grassland ecosystem functions
A global fuel characteristic model and dataset for wildfire prediction
Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model
Can models adequately reflect how long-term nitrogen enrichment alters the forest soil carbon cycle?
Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers
Empirical upscaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia
A modeling approach to investigate drivers, variability and uncertainties in O2 fluxes and O2 : CO2 exchange ratios in a temperate forest
Modeling coupled nitrification–denitrification in soil with an organic hotspot
A new method for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
Enabling a process-oriented hydro-biogeochemical model to simulate soil erosion and nutrient losses
Potassium limitation of forest productivity – Part 1: A mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalypt stands
Potassium limitation of forest productivity – Part 2: CASTANEA-MAESPA-K shows a reduction in photosynthesis rather than a stoichiometric limitation of tissue formation
Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance
Assessing carbon storage capacity and saturation across six central US grasslands using data–model integration
Optimizing the carbonic anhydrase temperature response and stomatal conductance of carbonyl sulfide leaf uptake in the Simple Biosphere model (SiB4)
Exploring environmental and physiological drivers of the annual carbon budget of biocrusts from various climatic zones with a mechanistic data-driven model
Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance
Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model
Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies
Effect of droughts and climate change on future soil weathering rates in Sweden
Information content in time series of litter decomposition studies and the transit time of litter in arid lands
Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China
Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations
Effect of land-use legacy on the future carbon sink for the conterminous US
Peatlands and their carbon dynamics in northern high latitudes from 1990 to 2300: a process-based biogeochemistry model analysis
Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems
A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations
Modeling nitrous oxide emissions from agricultural soil incubation experiments using CoupModel
Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model
Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model
Huajie Zhu, Xiuli Xing, Mousong Wu, Weimin Ju, and Fei Jiang
Biogeosciences, 21, 3735–3760, https://doi.org/10.5194/bg-21-3735-2024, https://doi.org/10.5194/bg-21-3735-2024, 2024
Short summary
Short summary
Ecosystem carbonyl sulfide (COS) fluxes were employed to optimize GPP estimation across ecosystems with the Biosphere-atmosphere Exchange Process Simulator (BEPS), which was developed for simulating the canopy COS uptake under its state-of-the-art two-leaf modeling framework. Our results showcased the efficacy of COS in improving model prediction and reducing prediction uncertainty of GPP and enhanced insights into the sensitivity, identifiability, and interactions of parameters related to COS.
Moritz Laub, Magdalena Necpalova, Marijn Van de Broek, Marc Corbeels, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, Rebecca Yegon, Wycliffe Waswa, Bernard Vanlauwe, and Johan Six
Biogeosciences, 21, 3691–3716, https://doi.org/10.5194/bg-21-3691-2024, https://doi.org/10.5194/bg-21-3691-2024, 2024
Short summary
Short summary
We used the DayCent model to assess the potential impact of integrated soil fertility management (ISFM) on maize production, soil fertility, and greenhouse gas emission in Kenya. After adjustments, DayCent represented measured mean yields and soil carbon stock changes well and N2O emissions acceptably. Our results showed that soil fertility losses could be reduced but not completely eliminated with ISFM and that, while N2O emissions increased with ISFM, emissions per kilogram yield decreased.
Erik Schwarz, Samia Ghersheen, Salim Belyazid, and Stefano Manzoni
Biogeosciences, 21, 3441–3461, https://doi.org/10.5194/bg-21-3441-2024, https://doi.org/10.5194/bg-21-3441-2024, 2024
Short summary
Short summary
The occurrence of unstable equilibrium points (EPs) could impede the applicability of microbial-explicit soil organic carbon models. For archetypal model versions we identify when instability can occur and describe mathematical conditions to avoid such unstable EPs. We discuss implications for further model development, highlighting the important role of considering basic ecological principles to ensure biologically meaningful models.
Sian Kou-Giesbrecht, Vivek K. Arora, Christian Seiler, and Libo Wang
Biogeosciences, 21, 3339–3371, https://doi.org/10.5194/bg-21-3339-2024, https://doi.org/10.5194/bg-21-3339-2024, 2024
Short summary
Short summary
Terrestrial biosphere models can either prescribe the geographical distribution of biomes or simulate them dynamically, capturing climate-change-driven biome shifts. We isolate and examine the differences between these different land cover implementations. We find that the simulated terrestrial carbon sink at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover due to important range shifts in the Arctic and Amazon.
Elizabeth S. Duan, Luciana Chavez Rodriguez, Nicole Hemming-Schroeder, Baptiste Wijas, Habacuc Flores-Moreno, Alexander W. Cheesman, Lucas A. Cernusak, Michael J. Liddell, Paul Eggleton, Amy E. Zanne, and Steven D. Allison
Biogeosciences, 21, 3321–3338, https://doi.org/10.5194/bg-21-3321-2024, https://doi.org/10.5194/bg-21-3321-2024, 2024
Short summary
Short summary
Understanding the link between climate and carbon fluxes is crucial for predicting how climate change will impact carbon sinks. We estimated carbon dioxide (CO2) fluxes from deadwood in tropical Australia using wood moisture content and temperature. Our model predicted that the majority of deadwood carbon is released as CO2, except when termite activity is detected. Future models should also incorporate wood traits, like species and chemical composition, to better predict fluxes.
Daniel Nadal-Sala, Rüdiger Grote, David Kraus, Uri Hochberg, Tamir Klein, Yael Wagner, Fedor Tatarinov, Dan Yakir, and Nadine K. Ruehr
Biogeosciences, 21, 2973–2994, https://doi.org/10.5194/bg-21-2973-2024, https://doi.org/10.5194/bg-21-2973-2024, 2024
Short summary
Short summary
A hydraulic model approach is presented that can be added to any physiologically based ecosystem model. Simulated plant water potential triggers stomatal closure, photosynthesis decline, root–soil resistance increases, and sapwood and foliage senescence. The model has been evaluated at an extremely dry site stocked with Aleppo pine and was able to represent gas exchange, soil water content, and plant water potential. The model also responded realistically regarding leaf senescence.
Patrick Neri, Lianhong Gu, and Yang Song
Biogeosciences, 21, 2731–2758, https://doi.org/10.5194/bg-21-2731-2024, https://doi.org/10.5194/bg-21-2731-2024, 2024
Short summary
Short summary
A first-of-its-kind global-scale model of temperature resilience and tolerance of photosystem II maximum quantum yield informs how plants maintain their efficiency of converting light energy to chemical energy for photosynthesis under temperature changes. Our finding explores this variation across plant functional types and habitat climatology, highlighting diverse temperature response strategies and a method to improve global-scale photosynthesis modeling under climate change.
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu
Biogeosciences, 21, 2313–2333, https://doi.org/10.5194/bg-21-2313-2024, https://doi.org/10.5194/bg-21-2313-2024, 2024
Short summary
Short summary
Soil microbes are the driving engine for biogeochemical cycles of carbon and nutrients. This study applies a microbial-explicit model to quantify bacteria and fungal biomass carbon in soils from 1901 to 2016. Results showed substantial increases in bacterial and fungal biomass carbon over the past century, jointly influenced by vegetation growth and soil temperature and moisture. This pioneering century-long estimation offers crucial insights into soil microbial roles in global carbon cycling.
Tao Chen, Félicien Meunier, Marc Peaucelle, Guoping Tang, Ye Yuan, and Hans Verbeeck
Biogeosciences, 21, 2253–2272, https://doi.org/10.5194/bg-21-2253-2024, https://doi.org/10.5194/bg-21-2253-2024, 2024
Short summary
Short summary
Chinese subtropical forest ecosystems are an extremely important component of global forest ecosystems and hence crucial for the global carbon cycle and regional climate change. However, there is still great uncertainty in the relationship between subtropical forest carbon sequestration and its drivers. We provide first quantitative estimates of the individual and interactive effects of different drivers on the gross primary productivity changes of various subtropical forest types in China.
Stefano Manzoni and Francesca Cotrufo
EGUsphere, https://doi.org/10.5194/egusphere-2024-1092, https://doi.org/10.5194/egusphere-2024-1092, 2024
Short summary
Short summary
Organic carbon and nitrogen are stabilized in soils via microbial assimilation and stabilization of necromass (in vivo pathway) or via adsorption of the products of extra-cellular decomposition (ex vivo pathway). Here we use a diagnostic model to quantify which stabilization pathway is prevalent, using data on residue-derived carbon and nitrogen incorporation in mineral associated organic matter. We find that the in vivo pathway is dominant in fine-textured soils with low organic matter content.
Ke Liu, Yujie Wang, Troy S. Magney, and Christian Frankenberg
Biogeosciences, 21, 1501–1516, https://doi.org/10.5194/bg-21-1501-2024, https://doi.org/10.5194/bg-21-1501-2024, 2024
Short summary
Short summary
Stomata are pores on leaves that regulate gas exchange between plants and the atmosphere. Existing land models unrealistically assume stomata can jump between steady states when the environment changes. We implemented dynamic modeling to predict gradual stomatal responses at different scales. Results suggested that considering this effect on plant behavior patterns in diurnal cycles was important. Our framework also simplified simulations and can contribute to further efficiency improvements.
Melanie A. Thurner, Silvia Caldararu, Jan Engel, Anja Rammig, and Sönke Zaehle
Biogeosciences, 21, 1391–1410, https://doi.org/10.5194/bg-21-1391-2024, https://doi.org/10.5194/bg-21-1391-2024, 2024
Short summary
Short summary
Due to their crucial role in terrestrial ecosystems, we implemented mycorrhizal fungi into the QUINCY terrestrial biosphere model. Fungi interact with mineral and organic soil to support plant N uptake and, thus, plant growth. Our results suggest that the effect of mycorrhizal interactions on simulated ecosystem dynamics is minor under constant environmental conditions but necessary to reproduce and understand observed patterns under changing conditions, such as rising atmospheric CO2.
Jinyun Tang and William J. Riley
Biogeosciences, 21, 1061–1070, https://doi.org/10.5194/bg-21-1061-2024, https://doi.org/10.5194/bg-21-1061-2024, 2024
Short summary
Short summary
A chemical kinetics theory is proposed to explain the non-monotonic relationship between temperature and biochemical rates. It incorporates the observed thermally reversible enzyme denaturation that is ensured by the ceaseless thermal motion of molecules and ions in an enzyme solution and three well-established theories: (1) law of mass action, (2) diffusion-limited chemical reaction theory, and (3) transition state theory.
Nina Raoult, Louis-Axel Edouard-Rambaut, Nicolas Vuichard, Vladislav Bastrikov, Anne Sofie Lansø, Bertrand Guenet, and Philippe Peylin
Biogeosciences, 21, 1017–1036, https://doi.org/10.5194/bg-21-1017-2024, https://doi.org/10.5194/bg-21-1017-2024, 2024
Short summary
Short summary
Observations are used to reduce uncertainty in land surface models (LSMs) by optimising poorly constraining parameters. However, optimising against current conditions does not necessarily ensure that the parameters treated as invariant will be robust in a changing climate. Manipulation experiments offer us a unique chance to optimise our models under different (here atmospheric CO2) conditions. By using these data in optimisations, we gain confidence in the future projections of LSMs.
Kelsey T. Foster, Wu Sun, Yoichi P. Shiga, Jiafu Mao, and Anna M. Michalak
Biogeosciences, 21, 869–891, https://doi.org/10.5194/bg-21-869-2024, https://doi.org/10.5194/bg-21-869-2024, 2024
Short summary
Short summary
Assessing agreement between bottom-up and top-down methods across spatial scales can provide insights into the relationship between ensemble spread (difference across models) and model accuracy (difference between model estimates and reality). We find that ensemble spread is unlikely to be a good indicator of actual uncertainty in the North American carbon balance. However, models that are consistent with atmospheric constraints show stronger agreement between top-down and bottom-up estimates.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Oliver Sonnentag, Gabriel Hould Gosselin, Melody Sandells, Chris Derksen, Branden Walker, Gesa Meyer, Richard Essery, Richard Kelly, Phillip Marsh, Julia Boike, and Matteo Detto
Biogeosciences, 21, 825–841, https://doi.org/10.5194/bg-21-825-2024, https://doi.org/10.5194/bg-21-825-2024, 2024
Short summary
Short summary
We undertake a sensitivity study of three different parameters on the simulation of net ecosystem exchange (NEE) during the snow-covered non-growing season at an Arctic tundra site. Simulations are compared to eddy covariance measurements, with near-zero NEE simulated despite observed CO2 release. We then consider how to parameterise the model better in Arctic tundra environments on both sub-seasonal timescales and cumulatively throughout the snow-covered non-growing season.
Xin Chen, Tiexi Chen, Xiaodong Li, Yuanfang Chai, Shengjie Zhou, Renjie Guo, and Jie Dai
EGUsphere, https://doi.org/10.5194/egusphere-2024-114, https://doi.org/10.5194/egusphere-2024-114, 2024
Short summary
Short summary
We provides an ensemble model-based GPP dataset (ERF_GPP) that explains 83.7 % of the monthly variation in GPP across 171 sites, higher than other single remote sensing model. In addition, ERF_GPP improves the phenomenon of “high value underestimation and low value overestimation” in GPP estimation to some extent. Overall, ERF_GPP provides a more reliable estimate of global GPP and will facilitate further development of carbon cycle research.
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billdesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Gharun Mana, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
EGUsphere, https://doi.org/10.5194/egusphere-2024-165, https://doi.org/10.5194/egusphere-2024-165, 2024
Short summary
Short summary
The movement of water, carbon, and energy from the earth surface to the atmosphere, or flux, is an important process to understand that impacts all of our lives. Here we outline a method to estimate global water and CO2 fluxes based on direct measurements from site around the world called FLUXCOM-X. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Bertrand Guenet, Jérémie Orliac, Lauric Cécillon, Olivier Torres, Laura Sereni, Philip A. Martin, Pierre Barré, and Laurent Bopp
Biogeosciences, 21, 657–669, https://doi.org/10.5194/bg-21-657-2024, https://doi.org/10.5194/bg-21-657-2024, 2024
Short summary
Short summary
Heterotrophic respiration fluxes are a major flux between surfaces and the atmosphere, but Earth system models do not yet represent them correctly. Here we benchmarked Earth system models against observation-based products, and we identified the important mechanisms that need to be improved in the next-generation Earth system models.
Shuyue Li, Bonnie Waring, Jennifer Powers, and David Medvigy
Biogeosciences, 21, 455–471, https://doi.org/10.5194/bg-21-455-2024, https://doi.org/10.5194/bg-21-455-2024, 2024
Short summary
Short summary
We used an ecosystem model to simulate primary production of a tropical forest subjected to 3 years of nutrient fertilization. Simulations parameterized such that relative allocation to fine roots increased with increasing soil phosphorus had leaf, wood, and fine root production consistent with observations. However, these simulations seemed to over-allocate to fine roots on multidecadal timescales, affecting aboveground biomass. Additional observations across timescales would benefit models.
Stephen Björn Wirth, Arne Poyda, Friedhelm Taube, Britta Tietjen, Christoph Müller, Kirsten Thonicke, Anja Linstädter, Kai Behn, Sibyll Schaphoff, Werner von Bloh, and Susanne Rolinski
Biogeosciences, 21, 381–410, https://doi.org/10.5194/bg-21-381-2024, https://doi.org/10.5194/bg-21-381-2024, 2024
Short summary
Short summary
In dynamic global vegetation models (DGVMs), the role of functional diversity in forage supply and soil organic carbon storage of grasslands is not explicitly taken into account. We introduced functional diversity into the Lund Potsdam Jena managed Land (LPJmL) DGVM using CSR theory. The new model reproduced well-known trade-offs between plant traits and can be used to quantify the role of functional diversity in climate change mitigation using different functional diversity scenarios.
Joe R. McNorton and Francesca Di Giuseppe
Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, https://doi.org/10.5194/bg-21-279-2024, 2024
Short summary
Short summary
Wildfires have wide-ranging consequences for local communities, air quality and ecosystems. Vegetation amount and moisture state are key components to forecast wildfires. We developed a combined model and satellite framework to characterise vegetation, including the type of fuel, whether it is alive or dead, and its moisture content. The daily data is at high resolution globally (~9 km). Our characteristics correlate with active fire data and can inform fire danger and spread modelling efforts.
Reza Kusuma Nurrohman, Tomomichi Kato, Hideki Ninomiya, Lea Végh, Nicolas Delbart, Tatsuya Miyauchi, Hisashi Sato, Tomohiro Shiraishi, and Ryuichi Hirata
EGUsphere, https://doi.org/10.5194/egusphere-2024-105, https://doi.org/10.5194/egusphere-2024-105, 2024
Short summary
Short summary
SPITFIRE fire module was integrated into SEIB Dynamic Global Vegetation Model to improve the model's accuracy in depicting forest fire frequency, intensity, and extent in Siberia. Projected fires showed a continuous increase in higher emissions of greenhouse gases and aerosols from 2023 to 2100 under all RCP scenarios. This study contributes to a better understanding of fire dynamics, land ecosystem-climate interactions, and global material cycles under the threat of escalating fires in Siberia.
Brooke A. Eastman, William R. Wieder, Melannie D. Hartman, Edward R. Brzostek, and William T. Peterjohn
Biogeosciences, 21, 201–221, https://doi.org/10.5194/bg-21-201-2024, https://doi.org/10.5194/bg-21-201-2024, 2024
Short summary
Short summary
We compared soil model performance to data from a long-term nitrogen addition experiment in a forested ecosystem. We found that in order for soil carbon models to accurately predict future forest carbon sequestration, two key processes must respond dynamically to nitrogen availability: (1) plant allocation of carbon to wood versus roots and (2) rates of soil organic matter decomposition. Long-term experiments can help improve our predictions of the land carbon sink and its climate impact.
Jan De Pue, Sebastian Wieneke, Ana Bastos, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Maral Maleki, Fabienne Maignan, Françoise Gellens-Meulenberghs, Ivan Janssens, and Manuela Balzarolo
Biogeosciences, 20, 4795–4818, https://doi.org/10.5194/bg-20-4795-2023, https://doi.org/10.5194/bg-20-4795-2023, 2023
Short summary
Short summary
The gross primary production (GPP) of the terrestrial biosphere is a key source of variability in the global carbon cycle. To estimate this flux, models can rely on remote sensing data (RS-driven), meteorological data (meteo-driven) or a combination of both (hybrid). An intercomparison of 11 models demonstrated that RS-driven models lack the sensitivity to short-term anomalies. Conversely, the simulation of soil moisture dynamics and stress response remains a challenge in meteo-driven models.
Chad A. Burton, Luigi J. Renzullo, Sami W. Rifai, and Albert I. J. M. Van Dijk
Biogeosciences, 20, 4109–4134, https://doi.org/10.5194/bg-20-4109-2023, https://doi.org/10.5194/bg-20-4109-2023, 2023
Short summary
Short summary
Australia's land-based ecosystems play a critical role in controlling the variability in the global land carbon sink. However, uncertainties in the methods used for quantifying carbon fluxes limit our understanding. We develop high-resolution estimates of Australia's land carbon fluxes using machine learning methods and find that Australia is, on average, a stronger carbon sink than previously thought and that the seasonal dynamics of the fluxes differ from those described by other methods.
Yuan Yan, Anne Klosterhalfen, Fernando Moyano, Matthias Cuntz, Andrew C. Manning, and Alexander Knohl
Biogeosciences, 20, 4087–4107, https://doi.org/10.5194/bg-20-4087-2023, https://doi.org/10.5194/bg-20-4087-2023, 2023
Short summary
Short summary
A better understanding of O2 fluxes, their exchange ratios with CO2 and their interrelations with environmental conditions would provide further insights into biogeochemical ecosystem processes. We, therefore, used the multilayer canopy model CANVEG to simulate and analyze the flux exchange for our forest study site for 2012–2016. Based on these simulations, we further successfully tested the application of various micrometeorological methods and the prospects of real O2 flux measurements.
Jie Zhang, Elisabeth Larsen Kolstad, Wenxin Zhang, Iris Vogeler, and Søren O. Petersen
Biogeosciences, 20, 3895–3917, https://doi.org/10.5194/bg-20-3895-2023, https://doi.org/10.5194/bg-20-3895-2023, 2023
Short summary
Short summary
Manure application to agricultural land often results in large and variable N2O emissions. We propose a model with a parsimonious structure to investigate N transformations around such N2O hotspots. The model allows for new detailed insights into the interactions between transport and microbial activities regarding N2O emissions in heterogeneous soil environments. It highlights the importance of solute diffusion to N2O emissions from such hotspots which are often ignored by process-based models.
Jukka Alm, Antti Wall, Jukka-Pekka Myllykangas, Paavo Ojanen, Juha Heikkinen, Helena M. Henttonen, Raija Laiho, Kari Minkkinen, Tarja Tuomainen, and Juha Mikola
Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, https://doi.org/10.5194/bg-20-3827-2023, 2023
Short summary
Short summary
In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained for forestry, Finland reports sinks and sources of greenhouse gases in forest lands on organic soils following its UNFCCC commitment. We describe a new method for compiling soil CO2 balance that follows changes in tree volume, tree harvests and temperature. An increasing trend of emissions from 1.4 to 7.9 Mt CO2 was calculated for drained peatland forest soils in Finland for 1990–2021.
Siqi Li, Bo Zhu, Xunhua Zheng, Pengcheng Hu, Shenghui Han, Jihui Fan, Tao Wang, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, Wei Zhang, and Yong Li
Biogeosciences, 20, 3555–3572, https://doi.org/10.5194/bg-20-3555-2023, https://doi.org/10.5194/bg-20-3555-2023, 2023
Short summary
Short summary
Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were incorporated into the process-oriented hydro-biogeochemical model CNMM-DNDC to realize the accurate simulation of water-induced erosion and subsequent particulate nutrient losses at high spatiotemporal resolution.
Ivan Cornut, Nicolas Delpierre, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, Otavio Campoe, Jose Luiz Stape, Vitoria Fernanda Santos, and Guerric le Maire
Biogeosciences, 20, 3093–3117, https://doi.org/10.5194/bg-20-3093-2023, https://doi.org/10.5194/bg-20-3093-2023, 2023
Short summary
Short summary
Potassium is an essential element for living organisms. Trees are dependent upon this element for certain functions that allow them to build their trunks using carbon dioxide. Using data from experiments in eucalypt plantations in Brazil and a simplified computer model of the plantations, we were able to investigate the effect that a lack of potassium can have on the production of wood. Understanding nutrient cycles is useful to understand the response of forests to environmental change.
Ivan Cornut, Guerric le Maire, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, and Nicolas Delpierre
Biogeosciences, 20, 3119–3135, https://doi.org/10.5194/bg-20-3119-2023, https://doi.org/10.5194/bg-20-3119-2023, 2023
Short summary
Short summary
After simulating the effects of low levels of potassium on the canopy of trees and the uptake of carbon dioxide from the atmosphere by leaves in Part 1, here we tried to simulate the way the trees use the carbon they have acquired and the interaction with the potassium cycle in the tree. We show that the effect of low potassium on the efficiency of the trees in acquiring carbon is enough to explain why they produce less wood when they are in soils with low levels of potassium.
Xiaojuan Yang, Peter Thornton, Daniel Ricciuto, Yilong Wang, and Forrest Hoffman
Biogeosciences, 20, 2813–2836, https://doi.org/10.5194/bg-20-2813-2023, https://doi.org/10.5194/bg-20-2813-2023, 2023
Short summary
Short summary
We evaluated the performance of a land surface model (ELMv1-CNP) that includes both nitrogen (N) and phosphorus (P) limitation on carbon cycle processes. We show that ELMv1-CNP produces realistic estimates of present-day carbon pools and fluxes. We show that global C sources and sinks are significantly affected by P limitation. Our study suggests that introduction of P limitation in land surface models is likely to have substantial consequences for projections of future carbon uptake.
Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William Pockman, Zheng Shi, Melinda D. Smith, and Yiqi Luo
Biogeosciences, 20, 2707–2725, https://doi.org/10.5194/bg-20-2707-2023, https://doi.org/10.5194/bg-20-2707-2023, 2023
Short summary
Short summary
The capacity for carbon storage (C capacity) is an attribute that determines how ecosystems store carbon in the future. Here, we employ novel data–model integration techniques to identify the carbon capacity of six grassland sites spanning the US Great Plains. Hot and dry sites had low C capacity due to less plant growth and high turnover of soil C, so they may be a C source in the future. Alternately, cooler and wetter ecosystems had high C capacity, so these systems may be a future C sink.
Ara Cho, Linda M. J. Kooijmans, Kukka-Maaria Kohonen, Richard Wehr, and Maarten C. Krol
Biogeosciences, 20, 2573–2594, https://doi.org/10.5194/bg-20-2573-2023, https://doi.org/10.5194/bg-20-2573-2023, 2023
Short summary
Short summary
Carbonyl sulfide (COS) is a useful constraint for estimating photosynthesis. To simulate COS leaf flux better in the SiB4 model, we propose a novel temperature function for enzyme carbonic anhydrase (CA) activity and optimize conductances using observations. The optimal activity of CA occurs below 40 °C, and Ball–Woodrow–Berry parameters are slightly changed. These reduce/increase uptakes in the tropics/higher latitudes and contribute to resolving discrepancies in the COS global budget.
Yunyao Ma, Bettina Weber, Alexandra Kratz, José Raggio, Claudia Colesie, Maik Veste, Maaike Y. Bader, and Philipp Porada
Biogeosciences, 20, 2553–2572, https://doi.org/10.5194/bg-20-2553-2023, https://doi.org/10.5194/bg-20-2553-2023, 2023
Short summary
Short summary
We found that the modelled annual carbon balance of biocrusts is strongly affected by both the environment (mostly air temperature and CO2 concentration) and physiology, such as temperature response of respiration. However, the relative impacts of these drivers vary across regions with different climates. Uncertainty in driving factors may lead to unrealistic carbon balance estimates, particularly in temperate climates, and may be explained by seasonal variation of physiology due to acclimation.
Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman
Biogeosciences, 20, 2455–2484, https://doi.org/10.5194/bg-20-2455-2023, https://doi.org/10.5194/bg-20-2455-2023, 2023
Short summary
Short summary
This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
Libo Wang, Vivek K. Arora, Paul Bartlett, Ed Chan, and Salvatore R. Curasi
Biogeosciences, 20, 2265–2282, https://doi.org/10.5194/bg-20-2265-2023, https://doi.org/10.5194/bg-20-2265-2023, 2023
Short summary
Short summary
Plant functional types (PFTs) are groups of plant species used to represent vegetation distribution in land surface models. There are large uncertainties associated with existing methods for mapping land cover datasets to PFTs. This study demonstrates how fine-resolution tree cover fraction and land cover datasets can be used to inform the PFT mapping process and reduce the uncertainties. The proposed largely objective method makes it easier to implement new land cover products in models.
Jennifer A. Holm, David M. Medvigy, Benjamin Smith, Jeffrey S. Dukes, Claus Beier, Mikhail Mishurov, Xiangtao Xu, Jeremy W. Lichstein, Craig D. Allen, Klaus S. Larsen, Yiqi Luo, Cari Ficken, William T. Pockman, William R. L. Anderegg, and Anja Rammig
Biogeosciences, 20, 2117–2142, https://doi.org/10.5194/bg-20-2117-2023, https://doi.org/10.5194/bg-20-2117-2023, 2023
Short summary
Short summary
Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We present a road map of how dynamic vegetation models can explore extreme drought and climate change and assess ecological processes to measure and reduce model uncertainties. The models predict strong nonlinear responses to UCEs. Due to different model representations, the models differ in magnitude and trajectory of forest loss. Therefore, we explore specific plant responses that reflect knowledge gaps.
Veronika Kronnäs, Klas Lucander, Giuliana Zanchi, Nadja Stadlinger, Salim Belyazid, and Cecilia Akselsson
Biogeosciences, 20, 1879–1899, https://doi.org/10.5194/bg-20-1879-2023, https://doi.org/10.5194/bg-20-1879-2023, 2023
Short summary
Short summary
In a future climate, extreme droughts might become more common. Climate change and droughts can have negative effects on soil weathering and plant health.
In this study, climate change effects on weathering were studied on sites in Sweden using the model ForSAFE, a climate change scenario and an extreme drought scenario. The modelling shows that weathering is higher during summer and increases with global warming but that weathering during drought summers can become as low as winter weathering.
Agustín Sarquis and Carlos A. Sierra
Biogeosciences, 20, 1759–1771, https://doi.org/10.5194/bg-20-1759-2023, https://doi.org/10.5194/bg-20-1759-2023, 2023
Short summary
Short summary
Although plant litter is chemically and physically heterogenous and undergoes multiple transformations, models that represent litter dynamics often ignore this complexity. We used a multi-model inference framework to include information content in litter decomposition datasets and studied the time it takes for litter to decompose as measured by the transit time. In arid lands, the median transit time of litter is about 3 years and has a negative correlation with mean annual temperature.
Qi Guan, Jing Tang, Lian Feng, Stefan Olin, and Guy Schurgers
Biogeosciences, 20, 1635–1648, https://doi.org/10.5194/bg-20-1635-2023, https://doi.org/10.5194/bg-20-1635-2023, 2023
Short summary
Short summary
Understanding terrestrial sources of nitrogen is vital to examine lake eutrophication changes. Combining process-based ecosystem modeling and satellite observations, we found that land-leached nitrogen in the Yangtze Plain significantly increased from 1979 to 2018, and terrestrial nutrient sources were positively correlated with eutrophication trends observed in most lakes, demonstrating the necessity of sustainable nitrogen management to control eutrophication.
Vivek K. Arora, Christian Seiler, Libo Wang, and Sian Kou-Giesbrecht
Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, https://doi.org/10.5194/bg-20-1313-2023, 2023
Short summary
Short summary
The behaviour of natural systems is now very often represented through mathematical models. These models represent our understanding of how nature works. Of course, nature does not care about our understanding. Since our understanding is not perfect, evaluating models is challenging, and there are uncertainties. This paper illustrates this uncertainty for land models and argues that evaluating models in light of the uncertainty in various components provides useful information.
Benjamin S. Felzer
Biogeosciences, 20, 573–587, https://doi.org/10.5194/bg-20-573-2023, https://doi.org/10.5194/bg-20-573-2023, 2023
Short summary
Short summary
The future of the terrestrial carbon sink depends upon the legacy of past land use, which determines the stand age of the forest and nutrient levels in the soil, both of which affect vegetation growth. This study uses a modeling approach to determine the effects of land-use legacy in the conterminous US from 1750 to 2099. Not accounting for land legacy results in a low carbon sink and high biomass, while water variables are not as highly affected.
Bailu Zhao and Qianlai Zhuang
Biogeosciences, 20, 251–270, https://doi.org/10.5194/bg-20-251-2023, https://doi.org/10.5194/bg-20-251-2023, 2023
Short summary
Short summary
In this study, we use a process-based model to simulate the northern peatland's C dynamics in response to future climate change during 1990–2300. Northern peatlands are projected to be a C source under all climate scenarios except for the mildest one before 2100 and C sources under all scenarios afterwards.
We find northern peatlands are a C sink until pan-Arctic annual temperature reaches −2.09 to −2.89 °C. This study emphasizes the vulnerability of northern peatlands to climate change.
Lin Yu, Silvia Caldararu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, Julian Helfenstein, Chiara Pistocchi, and Sönke Zaehle
Biogeosciences, 20, 57–73, https://doi.org/10.5194/bg-20-57-2023, https://doi.org/10.5194/bg-20-57-2023, 2023
Short summary
Short summary
In this study, we addressed a key weakness in current ecosystem models regarding the phosphorus exchange in the soil and developed a new scheme to describe this process. We showed that the new scheme improved the model performance for plant productivity, soil organic carbon, and soil phosphorus content at five beech forest sites in Germany. We claim that this new model could be used as a better tool to study ecosystems under future climate change, particularly phosphorus-limited systems.
Bimal K. Bhattacharya, Kaniska Mallick, Devansh Desai, Ganapati S. Bhat, Ross Morrison, Jamie R. Clevery, William Woodgate, Jason Beringer, Kerry Cawse-Nicholson, Siyan Ma, Joseph Verfaillie, and Dennis Baldocchi
Biogeosciences, 19, 5521–5551, https://doi.org/10.5194/bg-19-5521-2022, https://doi.org/10.5194/bg-19-5521-2022, 2022
Short summary
Short summary
Evaporation retrieval in heterogeneous ecosystems is challenging due to empirical estimation of ground heat flux and complex parameterizations of conductances. We developed a parameter-sparse coupled ground heat flux-evaporation model and tested it across different limits of water stress and vegetation fraction in the Northern/Southern Hemisphere. The model performed particularly well in the savannas and showed good potential for evaporative stress monitoring from thermal infrared satellites.
Jie Zhang, Wenxin Zhang, Per-Erik Jansson, and Søren O. Petersen
Biogeosciences, 19, 4811–4832, https://doi.org/10.5194/bg-19-4811-2022, https://doi.org/10.5194/bg-19-4811-2022, 2022
Short summary
Short summary
In this study, we relied on a properly controlled laboratory experiment to test the model’s capability of simulating the dominant microbial processes and the emissions of one greenhouse gas (nitrous oxide, N2O) from agricultural soils. This study reveals important processes and parameters that regulate N2O emissions in the investigated model framework and also suggests future steps of model development, which have implications on the broader communities of ecosystem modelers.
Jan De Pue, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Manuela Balzarolo, Fabienne Maignan, and Françoise Gellens-Meulenberghs
Biogeosciences, 19, 4361–4386, https://doi.org/10.5194/bg-19-4361-2022, https://doi.org/10.5194/bg-19-4361-2022, 2022
Short summary
Short summary
The functioning of ecosystems involves numerous biophysical processes which interact with each other. Land surface models (LSMs) are used to describe these processes and form an essential component of climate models. In this paper, we evaluate the performance of three LSMs and their interactions with soil moisture and vegetation. Though we found room for improvement in the simulation of soil moisture and drought stress, the main cause of errors was related to the simulated growth of vegetation.
Jarmo Mäkelä, Laura Arppe, Hannu Fritze, Jussi Heinonsalo, Kristiina Karhu, Jari Liski, Markku Oinonen, Petra Straková, and Toni Viskari
Biogeosciences, 19, 4305–4313, https://doi.org/10.5194/bg-19-4305-2022, https://doi.org/10.5194/bg-19-4305-2022, 2022
Short summary
Short summary
Soils account for the largest share of carbon found in terrestrial ecosystems, and accurate depiction of soil carbon decomposition is essential in understanding how permanent these carbon storages are. We present a straightforward way to include carbon isotope concentrations into soil decomposition and carbon storages for the Yasso model, which enables the model to use 13C as a natural tracer to track changes in the underlying soil organic matter decomposition.
Cited articles
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N.,
Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H.
(Ted), Gonzalez, P., Fensham, R., Zhang, Z., Castro, J., Demidova, N., Lim,
J.-H., Allard, G., Running, S. W., Semerci, A., and Cobb, N.: A global
overview of drought and heat-induced tree mortality reveals emerging climate
change risks for forests, For. Ecol. Manage., 259, 660–684,
2010.
Asner, G. P. and Mascaro, J.: Mapping tropical forest carbon: Calibrating
plot estimates to a simple LiDAR metric, Remote Sens. Environ., 140,
614–624, 2014.
Asner, G. P., Flint Hughes, R., Varga, T. A., Knapp, D. E., and
Kennedy-Bowdoin, T.: Environmental and Biotic Controls over Aboveground
Biomass Throughout a Tropical Rain Forest, Ecosystems, 12, 261–278,
2009.
Asner, G. P., Mascaro, J., Anderson, C., Knapp, D. E., Martin, R. E.,
Kennedy-Bowdoin, T., van Breugel, M., Davies, S., Hall, J. S.,
Muller-Landau, H. C., Potvin, C., Sousa, W., Wright, J., and Bermingham, E.:
High-fidelity national carbon mapping for resource management and REDD+,
Carbon Balance Manag., 8, 7, https://doi.org/10.1186/1750-0680-8-7, 2013.
Baeten, L., Verheyen, K., Wirth, C., Bruelheide, H., Bussotti, F.,
Finér, L., Jaroszewicz, B., Selvi, F., Valladares, F., Allan, E.,
Ampoorter, E., Auge, H., Avăcăriei, D., Barbaro, L., Bărnoaiea,
I., Bastias, C. C., Bauhus, J., Beinhoff, C., Benavides, R., Benneter, A.,
Berger, S., Berthold, F., Boberg, J., Bonal, D., Brüggemann, W., Carnol,
M., Castagneyrol, B., Charbonnier, Y., Chećko, E., Coomes, D., Coppi,
A., Dalmaris, E., Dănilă, G., Dawud, S. M., de Vries, W., De
Wandeler, H., Deconchat, M., Domisch, T., Duduman, G., Fischer, M., Fotelli,
M., Gessler, A., Gimeno, T. E., Granier, A., Grossiord, C., Guyot, V.,
Hantsch, L., Hättenschwiler, S., Hector, A., Hermy, M., Holland, V.,
Jactel, H., Joly, F.-X., Jucker, T., Kolb, S., Koricheva, J., Lexer, M. J.,
Liebergesell, M., Milligan, H., Müller, S., Muys, B., Nguyen, D.,
Nichiforel, L., Pollastrini, M., Proulx, R., Rabasa, S., Radoglou, K.,
Ratcliffe, S., Raulund-Rasmussen, K., Seiferling, I., Stenlid, J.,
Vesterdal, L., von Wilpert, K., Zavala, M. A., Zielinski, D., and
Scherer-Lorenzen, M.: A novel comparative research platform designed to
determine the functional significance of tree species diversity in European
forests, Perspect. Plant Ecol. Evol. Syst., 15, 281–291,
2013.
Baskerville, G. L.: Regression in the Estimation of Plant Biomassl, Can. J.
For., 2, 49–53, 1972.
Benito-Garzón, M., Ruiz-Benito, P., and Zavala, M. A.: Interspecific
differences in tree growth and mortality responses to environmental drivers
determine potential species distributional limits in Iberian forests, Glob.
Ecol. Biogeogr., 22, 1141–1151, 2013.
Blackburn, G. A., Abd Latif, Z., and Boyd, D. S.: Forest disturbance and
regeneration: a mosaic of discrete gap dynamics and open matrix regimes?,
Nakashizuka, T., J. Veg. Sci., 25, 1341–1354, https://doi.org/10.1111/jvs.12201,
2014.
Boehm, H.-D. V., Liesenberg, V., and Limin, S. H.: Multi-Temporal Airborne
LiDAR-Survey and Field Measurements of Tropical Peat Swamp Forest to Monitor
Changes, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 6, 1524–1530,
2013.
Boisvenue, C. and Running, S. W.: Impacts of climate change on natural
forest productivity – Evidence since the middle of the 20th century, Glob.
Chang. Biol., 12, 862–882, 2006.
Bravo, F., Bravo-Oviedo, A., and Diaz-Balteiro, L.: Carbon sequestration in
Spanish Mediterranean forests under two management alternatives: a modeling
approach, Eur. J. For. Res., 127, 225–234,
2008.
Carvalho, A., Flannigan, M. D., Logan, K. A., Gowman, L. M., Miranda, A. I.,
and Borrego, C.: The impact of spatial resolution on area burned and fire
occurrence projections in Portugal under climate change, Clim. Change, 98,
177–197, 2009.
Chambers, J. Q., Negron-Juarez, R. I., Marra, D. M., Di Vittorio, A., Tews,
J., Roberts, D., Ribeiro, G. H. P. M., Trumbore, S. E., and Higuchi, N.: The
steady-state mosaic of disturbance and succession across an old-growth
Central Amazon forest landscape, Proc. Natl. Acad. Sci. USA, 110,
3949–54, 2013.
Chen, Q., Gong, P., Baldocchi, D., and Xie, G.: Filtering Airborne Laser
Scanning Data with Morphological Methods, Photogramm. Eng. Remote Sens.,
73(2), 175–185, 2007.
Choat, B. and Way, D.: Predicting thresholds of drought-induced mortality in
woody plant species, Tree Physiol., 33, 669–671,
2013.
Choat, B., Jansen, S., Brodribb, T. J., Cochard, H., Delzon, S., Bhaskar,
R., Bucci, S. J., Feild, T. S., Gleason, S. M., Hacke, U. G., Jacobsen, A.
L., Lens, F., Maherali, H., Martínez-Vilalta, J., Mayr, S., Mencuccini,
M., Mitchell, P. J., Nardini, A., Pittermann, J., Pratt, R. B., Sperry, J.
S., Westoby, M., Wright, I. J., and Zanne, A. E.: Global convergence in the
vulnerability of forests to drought, Nature, 491, 752–5,
2012.
Coomes, D. A. and Allen, R. B.: Effects of size, competition and altitude on
tree growth, J. Ecol., 95, 1084–1097,
2007.
Coomes, D. A., Allen, R. B., Scott, N. A., Goulding, C., and Beets, P.:
Designing systems to monitor carbon stocks in forests and shrublands, For.
Ecol. Manage., 164, 89–108, 2002.
Drake, J. B., Knox, R. G., Dubayah, R. O., Clark, D. B., Condit, R., Blair,
J. B., and Hofton, M.: Above-ground biomass estimation in closed canopy
Neotropical forests using lidar remote sensing: factors, Glob. Ecol.
Biogeogr., 12, 147–159, 2003.
Dubayah, R., Goetz, S. J., Blair, J. B., Fatoyinbo, T. E., Hansen, M.,
Healey, S. P., Hofton, M. A., Hurtt, G. C., Kellner, J., Luthcke, S. B., and
Swatantran, A.: The Global Ecosystem Dynamics Investigation, American Geophysical Union Fall Meeting, 2014.
EEA: CORINE Land Cover Project, Copenhagen, 1995.
EEA: Annual European Union greenhouse gas inventory 1990–2012 and inventory
report 2014 – EEA Technical Report No, 9/2014, European Environment
Agency, 2014.
Englhart, S., Jubanski, J., and Siegert, F.: Quantifying Dynamics in Tropical
Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets, Remote Sens.,
5, 2368–2388, 2013.
Espírito-Santo, F. D. B., Gloor, M., Keller, M., Malhi, Y., Saatchi,
S., Nelson, B., Junior, R. C. O., Pereira, C., Lloyd, J., Frolking, S.,
Palace, M., Shimabukuro, Y. E., Duarte, V., Mendoza, A. M.,
López-González, G., Baker, T. R., Feldpausch, T. R., Brienen, R. J.
W., Asner, G. P., Boyd, D. S., and Phillips, O. L.: Size and frequency of
natural forest disturbances and the Amazon forest carbon balance, Nat.
Commun., 5, 3434, https://doi.org/10.1038/ncomms4434, 2014.
Frank, D., Reichstein, M., Bahn, M., Frank, D., Mahecha, M. D., Smith, P.,
Thonicke, K., van der Velde, M., Vicca, S., Babst, F., Beer, C., Buchmann,
N., Canadell, J. G., Ciais, P., Cramer, W., Ibrom, A., Miglietta, F.,
Poulter, B., Rammig, A., Seneviratne, S. I., Walz, A., Wattenbach, M.,
Zavala, M. A., and Zscheischler, J.: Effects of climate extremes on the
terrestrial carbon cycle: concepts, processes and potential future impacts,
Glob. Chang. Biol., 21, 2861–2880, https://doi.org/10.1111/gcb.12916, 2015.
Gamfeldt, L., Snäll, T., Bagchi, R., Jonsson, M., Gustafsson, L.,
Kjellander, P., Ruiz-Jaen, M. C., Fröberg, M., Stendahl, J., Philipson,
C. D., Mikusiński, G., Andersson, E., Westerlund, B., Andrén, H.,
Moberg, F., Moen, J., and Bengtsson, J.: Higher levels of multiple ecosystem
services are found in forests with more tree species, Nat. Commun., 4,
1340, https://doi.org/10.1038/ncomms2328, 2013.
García, M., Riaño, D., Chuvieco, E., and Danson, F. M.: Estimating
biomass carbon stocks for a Mediterranean forest in central Spain using
LiDAR height and intensity data, Elsevier Inc., 2010.
García, M., Riaño, D., Chuvieco, E., Salas, J., and Danson, F. M.:
Multispectral and LiDAR data fusion for fuel type mapping using Support
Vector Machine and decision rules, Remote Sens. Environ., 115,
1369–1379, 2011.
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.
Giorgi, F. and Lionello, P.: Climate change projections for the
Mediterranean region, Glob. Planet. Change, 63, 90–104,
2008.
Gonzalo, J.: Diagnosis fitoclimática de la España peninsular,
Actualización y análisis geoestadístico aplicado,
Silvopascicultura, Madrid, 2008.
Hawkins, B. A., Diniz-Filho, J. A. F., Mauricio Bini, L., De Marco, P., and
Blackburn, T. M.: Red herrings revisited: Spatial autocorrelation and
parameter estimation in geographical ecology, Ecography, 30,
375–384, 2007.
Henry, M., Réjou-Méchain, M., Jara, M. C., Wayson, C., Piotto, D.,
Westfall, J., Fuentes, J. M. M., Guier, F. A., Lombis, H. C., López, E.
C., Lara, R. C., Rojas, K. C., Del Águila Pasquel, J., Montoya, Á.
D., Vega, J. F., Galo, A. J., López, O. R., Marklund, L. G., Milla, F.,
de Jesús Návar Cahidez, J., Malavassi, E. O., Pérez, J., Zea, C.
R., García, L. R., Pons, R. R., Sanquetta, C., Scott, C.,
Zapata-Cuartas, M., and Saint-André, L.: An overview of existing and
promising technologies for national forest monitoring, Ann. For.
Sci., 72, 779–788,
https://doi.org/10.1007/s13595-015-0463-z, 2015.
Hopkinson, C., Chasmer, L., and Hall, R. J.: The uncertainty in conifer
plantation growth prediction from multi-temporal lidar datasets, Remote
Sens. Environ., 112, 1168–1180, 2008.
Hudak, A. T., Strand, E. K., Vierling, L. A., Byrne, J. C., Eitel, J. U. H.,
Martinuzzi, S., and Falkowski, M. J.: Quantifying aboveground forest carbon
pools and fluxes from repeat LiDAR surveys, Remote Sens. Environ., 123,
25–40, 2012.
Jucker, T., Bouriaud, O., Avacaritei, D., and Coomes, D. A.: Stabilizing
effects of diversity on aboveground wood production in forest ecosystems:
linking patterns and processes, Ecol. Lett., 17, 1560–1569,
2014.
Kellner, J. R. and Asner, G. P.: Winners and losers in the competition for
space in tropical forest canopies, Ecol. Lett., 17, 556–62,
2014.
Lefsky, M. A., Cohen, W. B., Harding, D. J., Parker, G. G., Acker, S. A., and
Gower, S. T.: Lidar remote sensing of above-ground biomass in three biomes,
Glob. Ecol. Biogeogr., 11, 393–399, 2002.
Levick, S. R. and Asner, G. P.: The rate and spatial pattern of treefall in
a savanna landscape, Biol. Conserv., 157, 121–127,
2013.
Lindner, M., Maroschek, M., Netherer, S., Kremer, A., Barbati, A.,
Garcia-Gonzalo, J., Seidl, R., Delzon, S., Corona, P., and Kolström, M.:
Climate change impacts, adaptive capacity, and vulnerability of European
forest ecosystems, For. Ecol. Manage., 259, 698–709,
2010.
Lloret, F., Pausas, J. G., and Vila, M.: Responses of Mediterra- nean Plant
Species to different fire frequencies in Garraf Natural Park (Catalonia,
Spain): field observations and modelling predictions, Plant Ecol., 167,
223–235, 2003.
Mascaro, J., Asner, G. P., Muller-Landau, H. C., Van Breugel, M., Hall, J.,
and Dahlin, K.: Controls over aboveground forest carbon density on Barro
Colorado Island, Panama, Biogeosciences, 8, 1615–1629,
https://doi.org/10.5194/bg-8-1615-2011, 2011.
McGroddy, M. E., Daufresne, T., and Hedin, L. O.: Scaling of C:N:P
stoichiometry in forests worldwide: implications of terrestrial
redfield-type ratios, Ecology, 85, 2390–2401, 2004.
Ministerio de Agricultura, A. y M. A.: Los Incendios Forestales en
España Decenio 1991–2000, 2002.
Ministerio de Agricultura, A. y M. A.: Los Incendios Forestales en
España Decenio 2001–2010, 2012.
Moritz, M. A., Parisien, M.-A., Batllori, E., Krawchuk, M. A., Van Dorn, J.,
Ganz, D. J., and Hayhoe, K.: Climate change and disruptions to global fire
activity, Ecosphere, 3, 49, https://doi.org/10.1890/ES11-00345.1, 2012.
Nabuurs, G. J., Schelhaas, M. J., Mohren, G. M. J., and Field, C. B.:
Temporal evolution of the European forest sector carbon sink from 1959 to
1999, Glob. Chang. Biol., 9, 152–160, 2003.
Nabuurs, G. J., Hengeveld, G. M., van der Werf, D. C., and Heidema, A. H.:
European forest carbon balance assessed with inventory based methods-An
introduction to a special section, For. Ecol. Manage., 260, 239–240,
2010.
Nabuurs, G.-J., Lindner, M., Verkerk, P. J., Gunia, K., Deda, P., Michalak,
R., and Grassi, G.: First signs of carbon sink saturation in European forest
biomass, Nat. Clim. Change, 3, 792–796, 2013.
Næsset, E.: Effects of different sensors, flying altitudes, and pulse
repetition frequencies on forest canopy metrics and biophysical stand
properties derived from small-footprint airborne laser data, Remote Sens.
Environ., 113, 148–159, 2009.
Næsset, E., Gobakken, T., Solberg, S., Gregoire, T. G., Nelson, R.,
Ståhl, G., and Weydahl, D.: Model-assisted regional forest biomass
estimation using LiDAR and InSAR as auxiliary data: A case study from a
boreal forest area, Remote Sens. Environ., 115, 3599–3614,
2011.
Ojea, E., Ruiz-Benito, P., Markandya, A., and Zavala, M. A.: Wood
provisioning in Mediterranean forests: A bottom-up spatial valuation
approach, For. Policy Econ., 20, 78–88,
2012.
Pan, Y., Birdsey, R. a, Fang, J., Houghton, R., 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., and Hayes, D.: A large and persistent carbon sink in the world's
forests., Science, 333, 988–993, 2011.
Pausas, J. G., Llovet, J., Anselm, R., and Vallejo, R.: Are wildfires a
disaster in the Mediterranean basin?? – A review Vegetation changes
Shrublands dominated by resprouting species, Int. J. Wildl. Fire, 17,
713–723, 2008.
Purves, D. W., Zavala, M. A., Ogle, K., Prieto, F., and Rey Benayas, J. M.:
Environmental heterogeneity, bird-mediated directed dispersal, and oak
woodland dynamics in Mediterranean Spain, Ecol. Monogr., 77, 77–97,
2007.
R Development Core Team: R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna 2011.
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, 2015.
Ruiz-Benito, P., Gómez-Aparicio, L., Paquette, A., Messier, C., Kattge,
J., and Zavala, M. A.: Diversity increases carbon storage and tree
productivity in Spanish forests, Glob. Ecol. Biogeogr., 23, 311–322,
2014A.
Ruiz-Benito, P., Madrigal-González, J., Ratcliffe, S., Coomes, D. a,
Kändler, G., Lehtonen, A., Wirth, C., and Zavala, M. A.: Stand Structure
and Recent Climate Change Constrain Stand Basal Area Change in European
Forests: A Comparison Across Boreal, Temperate, and Mediterranean Biomes,
Ecosystems, 1439–1454, 2014b.
Ruiz-Peinado, R., del Rio, M., and Montero, G.: New models for estimating the
carbon sink capacity of Spanish softwood species, For. Syst., 20,
176–188, 2011.
Ruiz-Peinado, R., Montero, G., and del Rio, M.: Biomass models to estimate
carbon stocks for hardwood tree species, For. Syst., 21, 42–52, 2012.
Smith, M. J., Purves, D. W., Vanderwel, M. C., Lyutsarev, V., and Emmott, S.:
The climate dependence of the terrestrial carbon cycle, including parameter
and structural uncertainties, Biogeosciences, 10, 583-606,
https://doi.org/10.5194/bg-10-583-2013, 2013.
Stephenson, N. L., Das, A. J., Condit, R., Russo, S. E., Baker, P. J.,
Beckman, N. G., Coomes, D. A., Lines, E. R., Morris, W. K., Rüger, N.,
Álvarez, E., Blundo, C., Bunyavejchewin, S., Chuyong, G., Davies, S. J.,
Duque, Á., Ewango, C. N., Flores, O., Franklin, J. F., Grau, H. R., Hao,
Z., Harmon, M. E., Hubbell, S. P., Kenfack, D., Lin, Y., Makana, J.-R.,
Malizia, A., Malizia, L. R., Pabst, R. J., Pongpattananurak, N., Su, S.-H.,
Sun, I.-F., Tan, S., Thomas, D., van Mantgem, P. J., Wang, X., Wiser, S. K.,
and Zavala, M. A.: Rate of tree carbon accumulation increases continuously
with tree size, Nature, 507, 90–93, 2014.
Valladares, F., Benavides, R., Rabasa, S. G., Pausas, J. G., Paula, S.,
Simonson, W. D., and Diaz, M.: Global change and Mediterranean forests:
current impacts and potential responses, in: Forests and Global Change,
Cambridge University Press, Cambridge, UK, 47–76, 2014.
Vanderwel, M. C., Coomes, D. A., and Purves, D. W.: Quantifying variation in
forest disturbance, and its effects on aboveground biomass dynamics, across
the eastern United States, Glob. Chang. Biol., 19, 1504–1517,
2013.
Vayreda, J., Martinez-Vilalta, J., Gracia, M., and Retana, J.: Recent climate
changes interact with stand structure and management to determine changes in
tree carbon stocks in Spanish forests, Glob. Chang. Biol., 18, 1028–1041,
2012.
Venables, W. N. and Ripley, B. D.: Modern Applied Statistics with S, 4th
Edn., Springer, New York, 2002.
Vepakomma, U., St-Onge, B., and Kneeshaw, D.: Spatially explicit
characterization of boreal forest gap dynamics using multi-temporal lidar
data, Remote Sens. Environ., 112, 2326–2340, 2008.
Vepakomma, U., Kneeshaw, D., and St-Onge, B.: Interactions of multiple
disturbances in shaping boreal forest dynamics: a spatially explicit analysis
using multi-temporal lidar data and high-resolution imagery, J. Ecol., 98,
526–539, 2010.
Vepakomma, U., St-Onge, B., and Kneeshaw, D.: Response of a boreal forest to
canopy opening: assessing vertical and lateral tree growth with
multi-temporal lidar data, Ecol. Appl., 21, 99–121, 2011.
Villanueva, J. A.: Tercer Inventario Forestal Nacional (1997–2007), Madrid,
2004.
Williams, A. P., Allen, C. D., Macalady, A. K., Griffin, D., Woodhouse, C.
A., Meko, D. M., Swetnam, T. W., Rauscher, S. A., Seager, R., Grissino-Mayer,
H. D., Dean, J. S., Cook, E. R., Gangodagamage, C., Cai, M., and McDowell, N.
G.: Temperature as a potent driver of regional forest drought stress and tree
mortality, Nat. Clim. Change, 3, 292–297, 2012.
WRI: Millennium Ecosystem Assessment. Ecosystem and human well-being:
biodiversity synthesis, 86 pp., 2005.
Zaragoza-Castells, J., Sánchez-Gómez, D., Hartley, I. P., Matesanz,
S., Valladares, F., Lloyd, J., and Atkin, O. K.: Climate-dependent variations
in leaf respiration in a dry-land, low productivity Mediterranean forest: The
importance of acclimation in both high-light and shaded habitats, Funct.
Ecol., 22, 172–184, 2008.
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, 2013.
Short summary
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.
Repeat-survey airborne laser scanning is used to build a simulation model of vegetation carbon...
Altmetrics
Final-revised paper
Preprint