Articles | Volume 19, issue 13
https://doi.org/10.5194/bg-19-3317-2022
© Author(s) 2022. 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-19-3317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jul 2022
Research article |
| 15 Jul 2022
| 15 Jul 2022
Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing
Emma Bousquet
CORRESPONDING AUTHOR
Centre d'Etudes Spatiales de la Biosphère (CESBIO), Université
de Toulouse (CNES/CNRS/INRAE/IRD/UPS), 18 av. Edouard Belin, bpi 2801, 31401
Toulouse CEDEX 9, France
Arnaud Mialon
Centre d'Etudes Spatiales de la Biosphère (CESBIO), Université
de Toulouse (CNES/CNRS/INRAE/IRD/UPS), 18 av. Edouard Belin, bpi 2801, 31401
Toulouse CEDEX 9, France
Nemesio Rodriguez-Fernandez
Centre d'Etudes Spatiales de la Biosphère (CESBIO), Université
de Toulouse (CNES/CNRS/INRAE/IRD/UPS), 18 av. Edouard Belin, bpi 2801, 31401
Toulouse CEDEX 9, France
Stéphane Mermoz
GlobEO, 31400 Toulouse, France
Yann Kerr
Centre d'Etudes Spatiales de la Biosphère (CESBIO), Université
de Toulouse (CNES/CNRS/INRAE/IRD/UPS), 18 av. Edouard Belin, bpi 2801, 31401
Toulouse CEDEX 9, France
Related authors
No articles found.
Remi Madelon, Nemesio J. Rodríguez-Fernández, Hassan Bazzi, Nicolas Baghdadi, Clement Albergel, Wouter Dorigo, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 27, 1221–1242, https://doi.org/10.5194/hess-27-1221-2023, https://doi.org/10.5194/hess-27-1221-2023, 2023
Short summary
Short summary
We present an approach to estimate soil moisture (SM) at 1 km resolution using Sentinel-1 and Sentinel-3 satellites. The estimates were compared to other high-resolution (HR) datasets over Europe, northern Africa, Australia, and North America, showing good agreement. However, the discrepancies between the different HR datasets and their lower performances compared with in situ measurements and coarse-resolution datasets show the remaining challenges for large-scale HR SM mapping.
Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
Earth Syst. Sci. Data, 14, 1125–1151, https://doi.org/10.5194/essd-14-1125-2022, https://doi.org/10.5194/essd-14-1125-2022, 2022
Short summary
Short summary
Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
Joaquín Muñoz-Sabater, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego G. Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut
Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, https://doi.org/10.5194/essd-13-4349-2021, 2021
Short summary
Short summary
The creation of ERA5-Land responds to a growing number of applications requiring global land datasets at a resolution higher than traditionally reached. ERA5-Land provides operational, global, and hourly key variables of the water and energy cycles over land surfaces, at 9 km resolution, from 1981 until the present. This work provides evidence of an overall improvement of the water cycle compared to previous reanalyses, whereas the energy cycle variables perform as well as those of ERA5.
Clément Albergel, Yongjun Zheng, Bertrand Bonan, Emanuel Dutra, Nemesio Rodríguez-Fernández, Simon Munier, Clara Draper, Patricia de Rosnay, Joaquin Muñoz-Sabater, Gianpaolo Balsamo, David Fairbairn, Catherine Meurey, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 24, 4291–4316, https://doi.org/10.5194/hess-24-4291-2020, https://doi.org/10.5194/hess-24-4291-2020, 2020
Short summary
Short summary
LDAS-Monde is a global offline land data assimilation system (LDAS) that jointly assimilates satellite-derived observations of surface soil moisture (SSM) and leaf area index (LAI) into the ISBA (Interaction between Soil Biosphere and Atmosphere) land surface model (LSM). This study demonstrates that LDAS-Monde is able to detect, monitor and forecast the impact of extreme weather on land surface states.
Christian Massari, Luca Brocca, Thierry Pellarin, Gab Abramowitz, Paolo Filippucci, Luca Ciabatta, Viviana Maggioni, Yann Kerr, and Diego Fernandez Prieto
Hydrol. Earth Syst. Sci., 24, 2687–2710, https://doi.org/10.5194/hess-24-2687-2020, https://doi.org/10.5194/hess-24-2687-2020, 2020
Short summary
Short summary
Rain gauges are unevenly spaced around the world with extremely low gauge density over places like Africa and South America. Here, water-related problems like floods, drought and famine are particularly severe and able to cause fatalities, migration and diseases. We have developed a rainfall dataset that exploits the synergies between rainfall and soil moisture to provide accurate rainfall observations which can be used to face these problems.
Marion Leduc-Leballeur, Ghislain Picard, Giovanni Macelloni, Arnaud Mialon, and Yann H. Kerr
The Cryosphere, 14, 539–548, https://doi.org/10.5194/tc-14-539-2020, https://doi.org/10.5194/tc-14-539-2020, 2020
Short summary
Short summary
To study the coast and ice shelves affected by melt in Antarctica during the austral summer, we exploited the 1.4 GHz radiometric satellite observations. We showed that this frequency provides additional information on melt occurrence and on the location of the water in the snowpack compared to the 19 GHz observations. This opens an avenue for improving the melting season monitoring with a combination of both frequencies and exploring the possibility of deep-water detection in the snowpack.
S. Ferrant, A. Selles, M. Le Page, A. AlBitar, S. Mermoz, S. Gascoin, A. Bouvet, S. Ahmed, and Y. Kerr
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 285–292, https://doi.org/10.5194/isprs-archives-XLII-3-W6-285-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W6-285-2019, 2019
Nemesio J. Rodríguez-Fernández, Arnaud Mialon, Stephane Mermoz, Alexandre Bouvet, Philippe Richaume, Ahmad Al Bitar, Amen Al-Yaari, Martin Brandt, Thomas Kaminski, Thuy Le Toan, Yann H. Kerr, and Jean-Pierre Wigneron
Biogeosciences, 15, 4627–4645, https://doi.org/10.5194/bg-15-4627-2018, https://doi.org/10.5194/bg-15-4627-2018, 2018
Short summary
Short summary
Existing global scale above-ground biomass (AGB) maps are made at very high spatial resolution collecting data during several years. In this paper we discuss the use of a new data set from the SMOS satellite: the vegetation optical depth estimated from low microwave frequencies. It is shown that this new data set is highly sensitive to AGB. The spacial resolution of SMOS is coarse (40 km) but the new data set can be used to monitor AGB variations with time due to its high revisit frequency.
Nemesio J. Rodríguez-Fernández, Joaquin Muñoz Sabater, Philippe Richaume, Patricia de Rosnay, Yann H. Kerr, Clement Albergel, Matthias Drusch, and Susanne Mecklenburg
Hydrol. Earth Syst. Sci., 21, 5201–5216, https://doi.org/10.5194/hess-21-5201-2017, https://doi.org/10.5194/hess-21-5201-2017, 2017
Short summary
Short summary
The new SMOS satellite near-real-time (NRT) soil moisture (SM) product based on a neural network is presented. The NRT SM product has been evaluated with respect to the SMOS Level 2 product and against a large number of in situ measurements showing performances similar to those of the Level 2 product but it is available in less than 3.5 h after sensing. The new product is distributed by the European Space Agency and the European Organisation for the Exploitation of Meteorological Satellites.
Ahmad Al Bitar, Arnaud Mialon, Yann H. Kerr, François Cabot, Philippe Richaume, Elsa Jacquette, Arnaud Quesney, Ali Mahmoodi, Stéphane Tarot, Marie Parrens, Amen Al-Yaari, Thierry Pellarin, Nemesio Rodriguez-Fernandez, and Jean-Pierre Wigneron
Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, https://doi.org/10.5194/essd-9-293-2017, 2017
Short summary
Short summary
Surface soil moisture is a control variable for many processes linked to the water and carbon cycles. The global maps of soil moisture and brightness temperature using multiple orbits from the SMOS (Soil Moisture and Ocean Salinity) mission are presented in this paper. The maps showed an increased number of retrievals over forest areas (9 %) compared to single-orbit retrievals. The brightness temperature observations from the L-band missions SMOS (ESA) and SMAP (NASA) are close (bias < −4 K).
Simone Bircher, Mie Andreasen, Johanna Vuollet, Juho Vehviläinen, Kimmo Rautiainen, François Jonard, Lutz Weihermüller, Elena Zakharova, Jean-Pierre Wigneron, and Yann H. Kerr
Geosci. Instrum. Method. Data Syst., 5, 109–125, https://doi.org/10.5194/gi-5-109-2016, https://doi.org/10.5194/gi-5-109-2016, 2016
Short summary
Short summary
At the Finnish Meteorological Institute in Sodankylä and the Danish Center for Hydrology, calibration functions for organic surface layers were derived for two in situ soil moisture sensors to be used in the validation of coarse-resolution soil moisture from satellites and land surface models. There was no clear difference in the data from a variety of humus types, strengthening confidence that these calibrations are applicable over a wide range of conditions as encountered in the large areas.
Related subject area
Biodiversity and Ecosystem Function: Terrestrial
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
Root distributions predict shrub–steppe responses to precipitation intensity
Thermophilisation of Afromontane forest stands demonstrated in an elevation gradient experiment
Above-treeline ecosystems facing drought: lessons from the 2022 European summer heat wave
Region effects and local climate jointly shape the global distribution of sexual systems in woody flowering plants
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
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
Geodiversity and biodiversity on a volcanic island: the role of scattered phonolites for plant diversity and performance
The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc)
The biogeographic pattern of microbial communities inhabiting terrestrial mud volcanoes across the Eurasian continent
Thirty-eight years of CO2 fertilization has outpaced growing aridity to drive greening of Australian woody ecosystems
Net soil carbon balance in afforested peatlands and separating autotrophic and heterotrophic soil CO2 effluxes
Bioaerosols and atmospheric ice nuclei in a Mediterranean dryland: community changes related to rainfall
Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot
Nitrogen restricts future sub-arctic treeline advance in an individual-based dynamic vegetation model
Spatial patterns of aboveground phytogenic Si stocks in a grass-dominated catchment – results from UAS-based high-resolution remote sensing
Patterns in recent and Holocene pollen accumulation rates across Europe – the Pollen Monitoring Programme Database as a tool for vegetation reconstruction
Capturing functional strategies and compositional dynamics in vegetation demographic models
Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Minhua Zhang, Xiaoqing Hu, and Fangliang He
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-154, https://doi.org/10.5194/bg-2023-154, 2023
Revised manuscript accepted for BG
Short summary
Short summary
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 under global change.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
David Kienle, Anna Walentowitz, Leyla Sungur, Alessandro Chiarucci, Severin D. H. Irl, Anke Jentsch, Ole R. Vetaas, Richard Field, and Carl Beierkuhnlein
Biogeosciences, 19, 1691–1703, https://doi.org/10.5194/bg-19-1691-2022, https://doi.org/10.5194/bg-19-1691-2022, 2022
Short summary
Short summary
Volcanic islands consist mainly of basaltic rocks. Additionally, there are often occurrences of small phonolite rocks differing in color and surface. On La Palma (Canary Islands), phonolites appear to be more suitable for plants than the omnipresent basalts. Therefore, we expected phonolites to be species-rich with larger plant individuals compared to the surrounding basaltic areas. Indeed, as expected, we found more species on phonolites and larger plant individuals in general.
Vera Porwollik, Susanne Rolinski, Jens Heinke, Werner von Bloh, Sibyll Schaphoff, and Christoph Müller
Biogeosciences, 19, 957–977, https://doi.org/10.5194/bg-19-957-2022, https://doi.org/10.5194/bg-19-957-2022, 2022
Short summary
Short summary
The study assesses impacts of grass cover crop cultivation on cropland during main-crop off-season periods applying the global vegetation model LPJmL (V.5.0-tillage-cc). Compared to simulated bare-soil fallowing practices, cover crops led to increased soil carbon content and reduced nitrogen leaching rates on the majority of global cropland. Yield responses of main crops following cover crops vary with location, duration of altered management, crop type, water regime, and tillage practice.
Tzu-Hsuan Tu, Li-Ling Chen, Yi-Ping Chiu, Li-Hung Lin, Li-Wei Wu, Francesco Italiano, J. Bruce H. Shyu, Seyed Naser Raisossadat, and Pei-Ling Wang
Biogeosciences, 19, 831–843, https://doi.org/10.5194/bg-19-831-2022, https://doi.org/10.5194/bg-19-831-2022, 2022
Short summary
Short summary
This investigation of microbial biogeography in terrestrial mud volcanoes (MVs) covers study sites over a geographic distance of up to 10 000 km across the Eurasian continent. It compares microbial community compositions' coupling with geochemical data across a 3D space. We demonstrate that stochastic processes operating at continental scales and environmental filtering at local scales drive the formation of patchy habitats and the pattern of diversification for microbes in terrestrial MVs.
Sami W. Rifai, Martin G. De Kauwe, Anna M. Ukkola, Lucas A. Cernusak, Patrick Meir, Belinda E. Medlyn, and Andy J. Pitman
Biogeosciences, 19, 491–515, https://doi.org/10.5194/bg-19-491-2022, https://doi.org/10.5194/bg-19-491-2022, 2022
Short summary
Short summary
Australia's woody ecosystems have experienced widespread greening despite a warming climate and repeated record-breaking droughts and heat waves. Increasing atmospheric CO2 increases plant water use efficiency, yet quantifying the CO2 effect is complicated due to co-occurring effects of global change. Here we harmonized a 38-year satellite record to separate the effects of climate change, land use change, and disturbance to quantify the CO2 fertilization effect on the greening phenomenon.
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
Short summary
Short summary
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.
Kai Tang, Beatriz Sánchez-Parra, Petya Yordanova, Jörn Wehking, Anna T. Backes, Daniel A. Pickersgill, Stefanie Maier, Jean Sciare, Ulrich Pöschl, Bettina Weber, and Janine Fröhlich-Nowoisky
Biogeosciences, 19, 71–91, https://doi.org/10.5194/bg-19-71-2022, https://doi.org/10.5194/bg-19-71-2022, 2022
Short summary
Short summary
Metagenomic sequencing and freezing experiments of aerosol samples collected on Cyprus revealed rain-related short-term changes of bioaerosol and ice nuclei composition. Filtration experiments showed a rain-related enhancement of biological ice nuclei > 5 µm and < 0.1 µm. The observed effects of rainfall on the composition of atmospheric bioaerosols and ice nuclei may influence the hydrological cycle as well as the health effects of air particulate matter (pathogens, allergens).
Raquel Fernandes Araujo, Samuel Grubinger, Carlos Henrique Souza Celes, Robinson I. Negrón-Juárez, Milton Garcia, Jonathan P. Dandois, and Helene C. Muller-Landau
Biogeosciences, 18, 6517–6531, https://doi.org/10.5194/bg-18-6517-2021, https://doi.org/10.5194/bg-18-6517-2021, 2021
Short summary
Short summary
Our study contributed to improving the understanding of temporal variation and climate correlates of canopy disturbances mainly caused by treefalls and branchfalls. We used a unique dataset of 5 years of approximately monthly drone-acquired RGB (red–green–blue) imagery for 50 ha of mature tropical forest on Barro Colorado Island, Panama. We found that canopy disturbance rates were highly temporally variable, were higher in the wet season, and were related to extreme rainfall events.
Adrian Gustafson, Paul A. Miller, Robert G. Björk, Stefan Olin, and Benjamin Smith
Biogeosciences, 18, 6329–6347, https://doi.org/10.5194/bg-18-6329-2021, https://doi.org/10.5194/bg-18-6329-2021, 2021
Short summary
Short summary
We performed model simulations of vegetation change for a historic period and a range of climate change scenarios at a high spatial resolution. Projected treeline advance continued at the same or increased rates compared to our historic simulation. Temperature isotherms advanced faster than treelines, revealing a lag in potential vegetation shifts that was modulated by nitrogen availability. At the year 2100 projected treelines had advanced by 45–195 elevational metres depending on the scenario.
Marc Wehrhan, Daniel Puppe, Danuta Kaczorek, and Michael Sommer
Biogeosciences, 18, 5163–5183, https://doi.org/10.5194/bg-18-5163-2021, https://doi.org/10.5194/bg-18-5163-2021, 2021
Short summary
Short summary
UAS remote sensing provides a promising tool for new insights into Si biogeochemistry at catchment scale. Our study on an artificial catchment shows surprisingly high silicon stocks in the biomass of two grass species (C. epigejos, 7 g m−2; P. australis, 27 g m−2). The distribution of initial sediment properties (clay, Tiron-extractable Si, nitrogen, plant-available potassium) controlled the spatial distribution of C. epigejos. Soil wetness determined the occurrence of P. australis.
Vojtěch Abraham, Sheila Hicks, Helena Svobodová-Svitavská, Elissaveta Bozilova, Sampson Panajiotidis, Mariana Filipova-Marinova, Christin Eldegard Jensen, Spassimir Tonkov, Irena Agnieszka Pidek, Joanna Święta-Musznicka, Marcelina Zimny, Eliso Kvavadze, Anna Filbrandt-Czaja, Martina Hättestrand, Nurgül Karlıoğlu Kılıç, Jana Kosenko, Maria Nosova, Elena Severova, Olga Volkova, Margrét Hallsdóttir, Laimdota Kalniņa, Agnieszka M. Noryśkiewicz, Bożena Noryśkiewicz, Heather Pardoe, Areti Christodoulou, Tiiu Koff, Sonia L. Fontana, Teija Alenius, Elisabeth Isaksson, Heikki Seppä, Siim Veski, Anna Pędziszewska, Martin Weiser, and Thomas Giesecke
Biogeosciences, 18, 4511–4534, https://doi.org/10.5194/bg-18-4511-2021, https://doi.org/10.5194/bg-18-4511-2021, 2021
Short summary
Short summary
We present a continental dataset of pollen accumulation rates (PARs) collected by pollen traps. This absolute measure of pollen rain (grains cm−2 yr−1) has a positive relationship to current vegetation and latitude. Trap and fossil PARs have similar values within one region, so it opens up possibilities for using fossil PARs to reconstruct past changes in plant biomass and primary productivity. The dataset is available in the Neotoma Paleoecology Database.
Polly C. Buotte, Charles D. Koven, Chonggang Xu, Jacquelyn K. Shuman, Michael L. Goulden, Samuel Levis, Jessica Katz, Junyan Ding, Wu Ma, Zachary Robbins, and Lara M. Kueppers
Biogeosciences, 18, 4473–4490, https://doi.org/10.5194/bg-18-4473-2021, https://doi.org/10.5194/bg-18-4473-2021, 2021
Short summary
Short summary
We present an approach for ensuring the definitions of plant types in dynamic vegetation models are connected to the underlying ecological processes controlling community composition. Our approach can be applied regionally or globally. Robust resolution of community composition will allow us to use these models to address important questions related to future climate and management effects on plant community composition, structure, carbon storage, and feedbacks within the Earth system.
Thomas Janssen, Ype van der Velde, Florian Hofhansl, Sebastiaan Luyssaert, Kim Naudts, Bart Driessen, Katrin Fleischer, and Han Dolman
Biogeosciences, 18, 4445–4472, https://doi.org/10.5194/bg-18-4445-2021, https://doi.org/10.5194/bg-18-4445-2021, 2021
Short summary
Short summary
Satellite images show that the Amazon forest has greened up during past droughts. Measurements of tree stem growth and leaf litterfall upscaled using machine-learning algorithms show that leaf flushing at the onset of a drought results in canopy rejuvenation and green-up during drought while simultaneously trees excessively shed older leaves and tree stem growth declines. Canopy green-up during drought therefore does not necessarily point to enhanced tree growth and improved forest health.
Cited articles
Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate
change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113,
11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016.
Albini, F. A.: Dynamics and modeling of vegetation fires: observations, in:
Fire in the environment: the ecological, atmospheric, and climatic
importance of vegetation fires, edited by: Crutzen, P. J. and Goldammer, J.
G., John Wiley & Sons, Chichester, England, 39–52, 1993.
Alexander, M. E. and Cruz, M. G.: Crown fire dynamics in conifer forests, in:
Synthesis of knowledge of extreme fire behavior, USDA Forest Service,
Pacific Northwest Research Station, General technical report PNW-GTR-854, 1,
107–142, 2011.
Ambadan, J. T., Oja, M., Gedalof, Z. E., and Berg, A. A.: Satellite-Observed
Soil Moisture as an Indicator of Wildfire Risk, Remote Sens., 12, 1543,
https://doi.org/10.3390/rs12101543, 2020.
Aragão, L. E., Anderson, L. O., Fonseca, M. G., Rosan, T. M., Vedovato,
L. B., Wagner, F. H., Silva, C. V. J., Silva Junior, C. H. L., Arai, E.,
Aguiar, A. P., Barlow, J., Berenguer, E., Deeter, M. N., Domingues, L. G.,
Gatti, L., Gloor, M., Malhi, G., Marengo, J. A., Miller, J. B., Phillips, O.
L., and Saatchi, S.: 21st Century drought-related fires counteract the
decline of Amazon deforestation carbon emissions, Nat. Commun., 9, 1–12,
https://doi.org/10.1038/s41467-017-02771-y, 2018.
Asner, G. P., Loarie, S. R., and Heyder, U.: Combined effects of climate and
land-use change on the future of humid tropical forests, Conserv. Lett., 3,
395–403, https://doi.org/10.1111/j.1755-263X.2010.00133.x, 2010.
Ashouri, H., Hsu, K. L., Sorooshian, S., Braithwaite, D. K., Knapp, K. R.,
Cecil, L. D., Nelson, B. R., and Prat, O. P.: PERSIANN-CDR: Daily
precipitation climate data record from multisatellite observations for
hydrological and climate studies, B. Am. Meteorol. Soc., 96, 69–83,
https://doi.org/10.1175/BAMS-D-13-00068.1, 2015.
Auld, T. D. and Bradstock, R. A.: Soil temperatures after the passage of a
fire: do they influence the germination of buried seeds? Aust. J. Ecol., 21,
106–109, 1996.
Barlow, J., Peres, C. A., Lagan, B. O., and Haugaasen, T.: Large tree
mortality and the decline of forest biomass following Amazonian wildfires,
Ecol. Lett., 6, 6–8, https://doi.org/10.1046/j.1461-0248.2003.00394.x,
2003.
Berenguer, E., Malhi, Y., Brando, P., Cardoso Nunes Cordeiro, A., Ferreira,
J., França, F., Chesini Rossi, L., Moraes de Seixas, M. M., and Barlow,
J.: Tree growth and stem carbon accumulation in human-modified Amazonian
forests following drought and fire, Philos. T. R. Soc. B., 373, 20170308,
https://doi.org/10.1098/rstb.2017.0308, 2018.
BLM: Mendocino Complex Fire, Watershed Modeling Report,
https://www.blm.gov/sites/blm.gov/files/uploads/Programs_Fire_California_Watershed_Modeling_Report-Mendocino-Complex-Fire.pdf (last access: 14
December 2021), 2018.
Boergens, E., Dobslaw, H., and Dill, R.: GFZ GravIS RL06 Continental Water
Storage Anomalies, V. 0002, GFZ Data Services [data set],
https://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS, 2019.
BoM: Annual climate statement 2020,
http://www.bom.gov.au/climate/current/annual/aus/2020/, last access: 14 December
2021.
Bousquet, E., Mialon, A., Rodriguez-Fernandez, N., Prigent, C., Wagner, F.
H., and Kerr, Y. H.: Influence of surface water variations on VOD and
biomass estimates from passive microwave sensors, Remote Sens. Environ.,
257, 112345, https://doi.org/10.1016/j.rse.2021.112345, 2021.
Brodzik, M. J., Billingsley, B., Haran, T., Raup, B., and Savoie, M. H.:
EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded
Data Sets, ISPRS Int. J. Geo-Inf., 1, 32–45,
https://doi.org/10.3390/ijgi1010032, 2012.
Broxton, P. D., Zeng, X., Sulla-Menashe, D., and Troch, P. A.: A global land
cover climatology using MODIS data, J. Appl. Meteorol. Clim., 53,
1593–1605, https://doi.org/10.1175/JAMC-D-13-0270.1, 2014.
Brown, T., Leach, S., Wachter, B., and Gardunio, B.: The Northern California
2018 Extreme Fire Season, in: Explaining Extremes of 2018 from a Climate
Perspective, B. Am. Meteorol. Soc., 101, S1–S4,
https://doi.org/10.1175/BAMS-D-19-0275.1, 2020.
Burrows, G. E.: Epicormic strand structure in Angophora, Eucalyptus and
Lophostemon (Myrtaceae): implications for fire resistance and recovery, New
Phytol., 153, 111–131, 2002.
Caccamo, G., Bradstock, R., Collins, L., Penman, T., and Watson, P.: Using
MODIS data to analyse post-fire vegetation recovery in Australian eucalypt
forests, J. Spat. Sci., 60, 341–352,
https://doi.org/10.1080/14498596.2015.974227, 2015.
CAMS: Copernicus Atmosphere Monitoring Service: Copernicus: A summer of
wildfires saw devastation and record emissions around the Northern
Hemisphere,
https://atmosphere.copernicus.eu/,
last access: 30 September 2021.
Certini, G.: Effects of fire on properties of forest soils: a review,
Oecologia, 143, 1–10, https://doi.org/10.1007/s00442-004-1788-8, 2005.
Chaparro, D., Piles, M., Vall-Llossera, M., and Camps, A.: Surface moisture
and temperature trends anticipate drought conditions linked to wildfire
activity in the Iberian Peninsula, Eur. J. Remote Sens., 49, 955–971, 2016.
Chen, Y., Velicogna, I., Famiglietti, J. S., and Randerson, J. T.: Satellite
observations of terrestrial water storage provide early warning information
about drought and fire season severity in the Amazon, J. Geophys.
Res.-Biogeo., 118, 495–504, https://doi.org/10.1002/jgrg.20046, 2013.
Cheng, D., Rogan, J., Schneider, L., and Cochrane, M.: Evaluating MODIS
active fire products in subtropical Yucatán forest, Remote Sens. Lett.,
4, 455–464, https://doi.org/10.1080/2150704X.2012.749360, 2013.
Chu, T. and Guo, X.: Remote sensing techniques in monitoring post-fire
effects and patterns of forest recovery in boreal forest regions: A review,
Remote Sens., 6, 470–520, https://doi.org/10.3390/rs6010470, 2013.
Chuvieco, E., Aguado, I., Jurdao, S., Pettinari, M. L., Yebra, M., Salas,
J., Hantson, S., de la Riva, J., Ibarra, P., Rodrigues, M., Echeverría,
M., Azqueta, D., Román, M. V., Bastarrika, A., Martínez, S.,
Recondo, C., Zapico, E., and Vega, J. M.: Integrating geospatial information
into fire risk assessment, Int. J. Wildland Fire, 23, 606–619,
https://doi.org/10.1071/WF12052, 2012.
Cochrane, M. A.: Fire science for rainforests, Nature, 421, 913–919,
https://doi.org/10.1038/nature01437, 2003.
Crockett, J. L. and Westerling, A. L.: Greater temperature and precipitation
extremes intensify Western US droughts, wildfire severity, and Sierra Nevada
tree mortality, J. Clim., 31, 341–354,
https://doi.org/10.1175/JCLI-D-17-0254.1, 2018.
de Faria, B. L., Marano, G., Piponiot, C., Silva, C. A., Dantas, V. D. L.,
Rattis, L., Rech, A. R., and Collalti, A.: Model-based estimation of
Amazonian forests recovery time after drought and fire events, Forests, 12,
8, https://doi.org/10.3390/f12010008, 2021.
de Jeu, R. and Owe, M.: AMSR2/GCOM-W1 Surface Soil Moisture (LPRM) L3 1 Day 10 km × 10 km Descending V001, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], Greenbelt, MD, USA, https://doi.org/10.5067/M5DTR2QUYLS2, 2014.
de Jeu, R. A., Wagner, W., Holmes, T. R. H., Dolman, A. J., Van De Giesen,
N. C., and Friesen, J.: Global soil moisture patterns observed by space
borne microwave radiometers and scatterometers, Surv. Geophys., 29,
399–420, 2008.
de Groot, W. J., Cantin, A. S., Flannigan, M. D., Soja, A. J., Gowman, L.
M., and Newbery, A.: A comparison of Canadian and Russian boreal forest fire
regimes, Forest Ecol. Manag., 294, 23–34,
https://doi.org/10.1016/j.foreco.2012.07.033, 2013.
de Marzo, T., Pflugmacher, D., Baumann, M., Lambin, E. F., Gasparri, I., and
Kuemmerle, T.: Characterizing forest disturbances across the Argentine Dry
Chaco based on Landsat time series, Int. J. Appl. Earth Obs., 98, 102310,
https://doi.org/10.1016/j.jag.2021.102310, 2021.
DEWR: Department of the Environment and Water Resources: Australia's native
vegetation: a summary of Australia's major vegetation groups, Australian
Government, Canberra,
http://www.environment.gov.au/
(last access: 20 July 2021), 2007.
Didan, K.: MOD13C2 MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg
CMG V006 EVI, NASA EOSDIS Land Processes DAAC,
https://doi.org/10.5067/MODIS/MOD13C2.006, 2015.
Dowdy, A. J.: Climatological variability of fire weather in Australia, J.
Appl. Meteorol. Clim., 57, 221–234,
https://doi.org/10.1175/JAMC-D-17-0167.1, 2018.
Ehsani, M. R., Arevalo, J., Risanto, C. B., Javadian, M., Devine, C. J.,
Arabzadeh, A., Venegas-Quiñones, H. L., Dell'Oro, A. P., and Behrangi,
A.: 2019–2020 Australia fire and its relationship to hydroclimatological
and vegetation variabilities, Water, 12, 3067,
https://doi.org/10.3390/w12113067, 2020.
Fan, L., Wigneron, J. P., Xiao, Q., Al-Yaari, A., Wen, J., Martin-StPaul,
N., Dupuy, J. L., Pimont, F., Al Bitar, A., Fernandez-Moran, R., and Kerr,
Y. H.: Evaluation of microwave remote sensing for monitoring live fuel
moisture content in the Mediterranean region, Remote Sens. Environ.,
205, 210–223, https://doi.org/10.1016/j.rse.2017.11.020, 2018.
FAO: Food and Agriculture Organization: Fire Management – Global Assessment
2006, A Thematic Study Prepared in the Framework of the Global Forest
Resources Assessment 2005, Rome, ISBN 978-92-5-105666-0, 2006.
Farahmand, A., Stavros, E. N., Reager, J. T., Behrangi, A., Randerson, J. T., and Quayle, B.: Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States, Nat. Hazards Earth Syst. Sci., 20, 1097–1106, https://doi.org/10.5194/nhess-20-1097-2020, 2020.
Fernandez-Carrillo, A., McCaw, L., and Tanase, M. A.: Estimating prescribed
fire impacts and post-fire tree survival in eucalyptus forests of Western
Australia with L-band SAR data, Remote Sens. Environ., 224, 133–144,
https://doi.org/10.1016/j.rse.2019.02.005, 2019.
Forkel, M., Thonicke, K., Beer, C., Cramer, W., Bartalev, S., and
Schmullius, C.: Extreme fire events are related to previous-year surface
moisture conditions in permafrost-underlain larch forests of Siberia,
Environ. Res. Lett., 7, 044021,
https://doi.org/10.1088/1748-9326/7/4/044021, 2012.
Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., and
Thonicke, K.: A data-driven approach to identify controls on global fire
activity from satellite and climate observations (SOFIA V1), Geosci. Model
Dev., 10, 4443–4476, https://doi.org/10.5194/gmd-10-4443-2017, 2017.
Frappart, F., Wigneron, J. P., Li, X., Liu, X., Al-Yaari, A., Fan, L., Wang,
M., Moisy, C., Le Masson, E., Aoulad Lafkih, Z., Vallé, C., Ygorra, B.,
and Baghdadi, N.: Global monitoring of the vegetation dynamics from the
Vegetation Optical Depth (VOD): A review, Remote Sens., 12, 2915,
https://doi.org/10.3390/rs12182915, 2020.
GDAL/OGR contributors: GDAL/OGR Geospatial Data Abstraction software
Library, Open Source Geospatial Foundation, https://gdal.org/ (last access: 1 October 2021),
2020.
Giglio, L., Schroeder, W., Hall, J. V., and Justice, C. O.: MODIS Collection
6 Active Fire Product User's Guide Revision C, Department of Geographical
Sciences, University of Maryland, 2020.
Gignoux, J., Clobert, J., and Menaut, J. C.: Alternative fire resistance
strategies in savanna trees, Oecologia, 110, 576–583,
https://doi.org/10.1007/s004420050198, 1997.
Goetz, S. J., Fiske, G. J., and Bunn, A. G.: Using satellite time-series
data sets to analyze fire disturbance and forest recovery across Canada,
Remote Sens. Environ., 101, 352–365,
https://doi.org/10.1016/j.rse.2006.01.011, 2006.
Guglielmetti, M., Schwank, M., Mätzler, C., Oberdörster, C.,
Vanderborght, J., and Flühler, H.: Measured microwave radiative transfer
properties of a deciduous forest canopy, Remote Sens. Environ., 109,
523–532, https://doi.org/10.1016/j.rse.2007.02.003, 2007.
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.
Heath, J. T., Chafer, C. J., Bishop, T. F., and Van Ogtrop, F. F.: Post-fire
recovery of eucalypt-dominated vegetation communities in the Sydney Basin,
Australia, Fire Ecol., 12, 53–79,
https://doi.org/10.4996/fireecology.1203053, 2016.
Helfrich, S., McNamara, D., Ramsay, B., Baldwin, T., and Kasheta, T.:
Enhancements to, and forthcoming developments in the Interactive Multisensor
Snow and Ice Mapping System (IMS), Hydrol. Process., 21, 1576–1586,
https://doi.org/10.1002/hyp.6720, 2007.
Higuera, P. E. and Abatzoglou, J. T.: Record-setting climate enabled the
extraordinary 2020 fire season in the western United States, Glob. Change
Biol., 27, 1–2, https://doi.org/10.1111/gcb.15388, 2020.
Hochberg, M. E., Menaut, J. C., and Gignoux, J.: The influences of tree
biology and fire in the spatial structure of the West African savannah, J.
Ecol., 82, 217–226, 1994.
Holgate, C. M., van Dijk, A. I., Cary, G. J., and Yebra, M.: Using
alternative soil moisture estimates in the McArthur Forest Fire Danger
Index, Int. J. Wildland Fire, 26, 806–819, https://doi.org/10.1071/WF16217,
2017.
Imaoka, K., Kachi, M., Kasahara, M., Ito, N., Nakagawa, K., and Oki, T.:
Instrument performance and calibration of AMSR-E and AMSR2, Int. Arch.
Photogramm., 38, 13–18, 2010.
Jackson, T. J., Schmugge, T. J., and Wang, J. R.: Passive microwave sensing
of soil moisture under vegetation canopies, Water Resour. Res., 18,
1137–1142, 1982.
Jackson, T. J. and Schmugge, T. J.: Vegetation effects on the microwave
emission of soils, Remote Sens. Environ., 36, 203–212, 1991.
Jarvis, A., Reuter, H., Nelson, A., and Guevara, E.: Hole-filled seamless
SRTM data V3, International Centre for Tropical Agriculture (CIAT),
available from CGIAR-CSI SRTM 90 m database, http://srtm.csi.cgiar.org
(last access: 30 September 2021), 2006.
Jensen, D., Reager, J. T., Zajic, B., Rousseau, N., Rodell, M., and Hinkley,
E.: The sensitivity of US wildfire occurrence to pre-season soil moisture
conditions across ecosystems, Environ. Res. Lett., 13, 014021,
https://doi.org/10.1088/1748-9326/aa9853, 2018.
Jin, Y., Randerson, J. T., Goetz, S. J., Beck, P. S., Loranty, M. M., and
Goulden, M. L.: The influence of burn severity on postfire vegetation
recovery and albedo change during early succession in North American boreal
forests, J. Geophys. Res.-Biogeo., 117, G01036,
https://doi.org/10.1029/2011JG001886, 2012.
Jones, M. O., Jones, L. A., Kimball, J. S., and McDonald, K. C.: Satellite
passive microwave remote sensing for monitoring global land surface
phenology, Remote Sens. Environ., 115, 1102–1114,
https://doi.org/10.1016/j.rse.2010.12.015, 2011.
Justice, C., Giglio, L., Boschetti, L., Roy, D., Csiszar, I., Morisette, J.,
and Kaufman, Y.: Algorithm technical background document MODIS fire
products, MODIS Science Team, Washington DC, USA,
https://eospso.nasa.gov/sites/default/files/atbd/atbd_mod14.pdf (last access: 1 January 2020), 2006.
Kerr, Y. H. and Njoku, E. G.: A semiempirical model for interpreting
microwave emission from semiarid land surfaces as seen from space, IEEE T.
Geosci. Remote, 28, 384–393, https://doi.org/10.1109/36.54364, 1990.
Kerr, Y. H., Waldteufel, P., Wigneron, J. P., Martinuzzi, J. A. M. J., Font,
J., and Berger, M.: Soil moisture retrieval from space: The Soil Moisture
and Ocean Salinity (SMOS) mission, IEEE T. Geosci. Remote, 39, 1729–1735,
https://doi.org/10.1109/36.942551, 2001.
Kerr, Y. H., Waldteufel, P., Wigneron, J. P., Delwart, S., Cabot, F.,
Boutin, J., Escorihuela, M. J., Font, J., Reul, N., Gruhier, C., Juglea, S.
E., Drinkwater, M. R., Hahne, A., Martin-Neira, M., and Mecklenburg, S.: The
SMOS mission: New tool for monitoring key elements of the global water
cycle, P. IEEE, 98, 666–687, https://doi.org/10.1109/JPROC.2010.2043032,
2010.
Kerr, Y. H., Waldteufel, P., Richaume, P., Wigneron, J. P., Ferrazzoli, P.,
Mahmoodi, A., Al Bitar, A., Cabot, F., Gruhier, C., Juglea, S. E., Leroux,
D., Mialon, A., and Delwart, S.: The SMOS Soil Moisture Retrieval Algorithm,
Geosci. Remote Sens., 50, 1384–1403,
https://doi.org/10.1109/TGRS.2012.2184548, 2012.
Konings, A. G., Rao, K., and Steele-Dunne, S. C.: Macro to micro: microwave
remote sensing of plant water content for physiology and ecology, New
Phytol., 223, 1166–1172, https://doi.org/10.1111/nph.15808, 2019.
Konings, A. G., Holtzman, N., Rao, K., Xu, L., and Saatchi, S. S.:
Interannual Variations of Vegetation Optical Depth Are Due to Both Water
Stress and Biomass Changes, Geophys. Res. Lett., 48, e2021GL095267,
https://doi.org/10.1029/2021GL095267, 2021.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World map of
the Köppen-Geiger climate classification updated, Meteorol. Z., 15,
259–263, https://doi.org/10.1127/0941-2948/2006/0130, 2006.
Kuhn-Régnier, A., Voulgarakis, A., Nowack, P., Forkel, M., Prentice, I.
C., and Harrison, S. P.: The importance of antecedent vegetation and drought
conditions as global drivers of burnt area, Biogeosciences, 18, 3861–3879,
https://doi.org/10.5194/bg-18-3861-2021, 2021.
Mbow, C., Goïta, K., and Bénié, G. B.: Spectral
indices and fire behavior simulation for fire risk assessment in savanna
ecosystems, Remote Sens. Environ., 91, 1–13,
https://doi.org/10.1016/j.rse.2003.10.019, 2004.
McColl, J. G.: Soil-Plant Relationships in a Eucalyptus Forest on the South
Coast of New South Wales, Ecology, 50, 354–362,
https://doi.org/10.2307/1933883, 1969.
Menaut, J. C., Gignoux, J., Prado, C., and Clobert, J.: Tree community
dynamics in a humid savanna of the Cote-d'Ivoire: modelling the effects of
fire and competition with grass and neighbours, J. Biogeogr., 17, 471–481,
1990.
Mermoz, S. and Le Toan, T.: Forest disturbances and regrowth assessment
using ALOS PALSAR data from 2007 to 2010 in Vietnam, Cambodia and Lao PDR,
Remote Sens., 8, p. 217, https://doi.org/10.3390/rs8030217, 2016.
Mhawej, M., Faour, G., and Adjizian-Gerard, J.: Wildfire likelihood's
elements: a literature review, Challenges, 6, 282–293,
https://doi.org/10.3390/challe6020282, 2015.
Mialon, A., Coret, L., Kerr, Y. H., Sécherre, F., and Wigneron, J.-P.:
Flagging the topographic impact on the SMOS signal, IEEE T. Geosci. Remote,
46, 689–694, https://doi.org/10.1109/TGRS.2007.914788, 2008.
Mialon, A., Rodriguez-Fernandez, N. J., Santoro, M., Saatchi, S., Mermoz,
S., Bousquet, E., and Kerr, Y. H.: Evaluation of the Sensitivity of SMOS L-VOD
to Forest Above-Ground Biomass at Global Scale, Remote Sens., 12, 1450,
https://doi.org/10.3390/rs12091450, 2020.
Mo, T., Choudhury, B. J., Schmugge, T. J., Wang, J. R., and Jackson, T. J.:
A model for microwave emission from vegetation-covered fields, J. Geophys.
Res., 87, 11229–11237, https://doi.org/10.1029/JC087iC13p11229, 1982.
NSIDC (National Snow and Ice Data Center): IMS Daily Northern Hemisphere Snow and Ice Analysis at 4 km Resolution [data set], Version 1, Boulder, Colorado, USA, https://doi.org/10.7265/N52R3PMC, 2008.
Nepstad, D., Carvalho, G., Barros, A. C., Alencar, A., Capobianco, J. P.,
Bishop, J., Moutinho, P., Lefebvre, P., Silva Junior, U. L., and Prins, E.:
Road paving, fire regime feedbacks, and the future of Amazon forests, Forest
Ecol. Manag., 154, 395–407,
https://doi.org/10.1016/S0378-1127(01)00511-4, 2001.
Owe, M., de Jeu, R., and Holmes, T.: Multisensor historical climatology of
satellite-derived global land surface moisture, J. Geophys. Res., 113,
F01002, https://doi.org/10.1029/2007JF000769, 2008.
Pérez-Cabello, F., Montorio, R., and Alves, D. B.: Remote Sensing
Techniques to assess Post-Fire Vegetation Recovery, Curr. Opin. Env. Sci.
Health, 21, 100251, https://doi.org/10.1016/j.coesh.2021.100251, 2021.
Parsons, D. J. and DeBenedetti, S. H.: Impact of fire suppression on a
mixed-conifer forest, Forest Ecol. Manag., 2, 21–33, 1979.
Prigent, C., Jimenez, C., and Bousquet, P.: Satellite-derived global surface
water extent and dynamics over the last 25 years (GIEMS-2), J. Geophys.
Res.-Atmos., 125, e2019JD030711, https://doi.org/10.1029/2019JD030711, 2019.
Rahmoune, R., Ferrazzoli, P., Singh, Y., Kerr, Y. H., Richaume, P., and Al
Bitar, A.: SMOS Retrieval Results Over Forests: Comparisons With Independent
Measurements, IEEE J. Sel. Top. Appl., 7, 3858–3866,
https://doi.org/10.1109/JSTARS.2014.2321027, 2014.
Ray, D., Nepstad, D., and Moutinho, P.: Micrometeorological and canopy
controls of fire susceptibility in a forested Amazon landscape, Ecol. Appl.,
15, 1664–1678, https://doi.org/10.1890/05-0404, 2005.
Rodriguez-Fernandez, N. J., Mialon, A., Mermoz, S., Bouvet, A., Richaume,
P., Al Bitar, A., Al-Yaari, A., Brandt, M., Kaminski, T., Le Toan, T., Kerr,
Y. H., and Wigneron, J. P.: An evaluation of SMOS L-band vegetation optical
depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass
in Africa, Biogeosciences, 15, 4627–4645,
https://doi.org/10.5194/bg-15-4627-2018, 2018.
Rogers, B. M., Soja, A. J., Goulden, M. L., and Randerson, J. T.: Influence
of tree species on continental differences in boreal fires and climate
feedbacks, Nat. Geosci., 8, 228–234, https://doi.org/10.1038/ngeo2352,
2015.
Roy, D. P., Boschetti, L., Justice, C. O., and Ju, J.: The collection 5
MODIS burned area product–Global evaluation by comparison with the MODIS
active fire product, Remote Sens. Environ., 112, 3690–3707, 2008.
Sackett, S. S.: Scheduling prescribed burns for hazard reduction in the
southeast, J. Forest., 73, 143–147,
1975.
Santoro, M., Cartus, O., Carvalhais, N., Rozendaal, D., Avitabile, V.,
Araza, A., de Bruin, S., Herold, M., Quegan, S., Rodríguez-Veiga, P.,
Balzter, H., Carreiras, J., Schepaschenko, D., Korets, M., Shimada, M.,
Itoh, T., Moreno Martínez, A., Cavlovic, J., Cazzolla Gatti, R., da
Conceição Bispo, P., Dewnath, N., Labrière, N., Liang, J.,
Lindsell, J., Mitchard, E. T. A., Morel, A., Pacheco Pascagaza, A. M., Ryan,
C. M., Slik, F., Laurin, G. V., Verbeeck, H., Wijaya, A., and Willcock, S.:
The global forest above-ground biomass pool for 2010 estimated from
high-resolution satellite observations, Earth Syst. Sci. Data, 13,
3927–3950, https://doi.org/10.5194/essd-13-3927-2021, 2021.
Schwank, M., Rautiainen, K., Mätzler, C., Stähli, M., Lemmetyinen,
J., Pulliainen, J., Vehviläinen, J., Kontu, A., Ikonen, J., Ménard,
C. B., Drusch, M., Wiesmann, A., and Wegmüller, U.: Model for microwave
emission of a snow-covered ground with focus on L band, Remote Sens.
Environ., 154, 180–191, https://doi.org/10.1016/j.rse.2014.08.029, 2014.
Shakesby, R. A. and Doerr, S. H.: Wildfire as a hydrological and
geomorphological agent, Earth-Sci. Rev., 74, 269–307,
https://doi.org/10.1016/j.earscirev.2005.10.006, 2005.
Silva, C. V., Aragão, L. E., Barlow, J., Espirito-Santo, F., Young, P.
J., Anderson, L. O., Berenguer, E., Brasil, I., Brown, I. F., Castro, B.,
Farias, R., Ferreira, J., França, F., Graça, P. M. L. A., Kirsten,
L., Lopes, A. P., Salimon, C., Scaranello, M. A., Seixas, M., Souza, F. C.,
and Xaud, H. A. M.: Drought-induced Amazonian wildfires instigate a
decadal-scale disruption of forest carbon dynamics, Philos. T. R. Soc. B.,
373, 20180043, https://doi.org/10.1098/rstb.2018.0043, 2018.
Stephens, S. L., Collins, B. M., Fettig, C. J., Finney, M. A., Hoffman, C.
M., Knapp, E. E., North, M. P., Safford, H., and Wayman, R. B.: Drought,
tree mortality, and wildfire in forests adapted to frequent fire,
BioScience, 68, 77–88, https://doi.org/10.1093/biosci/bix146, 2018.
Stocks, B. J., Alexander, M. E., and Lanoville, R. A.: Overview of the
International Crown Fire Modelling Experiment (ICFME), Can. J. Forest Res.,
34, 1543–1547, https://doi.org/10.1139/x04-905, 2004.
Torres, R. C., Giorgis, M. A., Trillo, C., Volkmann, L., Demaio, P.,
Heredia, J., and Renison, D.: Post-fire recovery occurs overwhelmingly by
resprouting in the Chaco Serrano forest of Central Argentina, Austral. Ecol.,
39, 346–354, https://doi.org/10.1111/aec.12084, 2014.
Ulaby, F. T., Moore, R. K., and Fung, A. K.: Microwave remote sensing: Active and passive, Microwave remote sensing fundamentals and radiometry, 1, 1981.
Vadrevu, K. P., Lasko, K., Giglio, L., Schroeder, W., Biswas, S., and
Justice, C.: Trends in vegetation fires in south and southeast Asian
countries, Sci. Rep.-UK, 9, 1–13,
https://doi.org/10.1038/s41598-019-43940-x, 2019.
Veraverbeke, S., Van De Kerchove, R., Verstraeten, W., Lhermitte, S., and
Goossens, R.: Fire-induced changes in vegetation, albedo and land surface
temperature assessed with MODIS, 30th EARSeL symposium, in: Remote sensing for science, education, and natural and cultural heritage, proceedings of the EARSeL Symposium 2010, Paris, France, 431–438, 2010.
Vittucci, C., Ferrazzoli, P., Kerr, Y., Richaume, P., Guerriero, L.,
Rahmoune, R., and Laurin, G. V.: SMOS retrieval over forests: Exploitation
of optical depth and tests of soil moisture estimates, Remote Sens.
Environ., 180, 115–127, https://doi.org/10.1016/j.rse.2016.03.004, 2016.
Wan, Z., Hook, S., and Hulley, G.: MOD11C3 MODIS/Terra Land Surface
Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V006,
LST_Day_CMG and LST_Night_CMG, NASA EOSDIS Land Processes DAAC [data set],
https://doi.org/10.5067/MODIS/MOD11C3.006, 2015.
Weber, M. G. and Stocks, B. J.: Forest fires and sustainability in the
boreal forests of Canada, Ambio, 27, 545–550, 1998.
Wigneron, J. P., Kerr, Y. H., Waldteufel, P., Saleh, K., Escorihuela, M. J.,
Richaume, P., Ferrazzoli, P., de Rosnay, P., Gurney, R., Calvet, J. C.,
Grant, J., Guglielmetti, M., Hornbuckle, B., Mätzler, C., Pellarin, T.,
and Schwank, M.: L-band Microwave Emission of the Biosphere (L-MEB) Model:
Description and calibration against experimental data sets over crop fields,
Remote Sens. Environ., 107, 639–655,
https://doi.org/10.1016/j.rse.2006.10.014, 2007.
Wilkinson, G. and Jennings, S.: Survival and recovery of Eucalyptus obliqua
regeneration following wildfire, Tasforests, 5, 1–11, 1993.
Withey, K., Berenguer, E., Palmeira, A. F., Espírito-Santo, F. D.,
Lennox, G. D., Silva, C. V., Aragão, L. E. O. C., Ferreira, J.,
França, F., Malhi, Y., Rossi, L. C., and Barlow, J.: Quantifying
immediate carbon emissions from El Niño-mediated wildfires in humid
tropical forests, Philos. T. R. Soc. B, 373, 20170312, 2018.
Yang, J., Pan, S., Dangal, S., Zhang, B., Wang, S., and Tian, H.:
Continental-scale quantification of post-fire vegetation greenness recovery
in temperate and boreal North America, Remote Sens. Environ., 199, 277–290,
https://doi.org/10.1016/j.rse.2017.07.022, 2017.
Ye, N., Walker, J. P., Guerschman, J., Ryu, D., and Gurney, R. J.: Standing
water effect on soil moisture retrieval from L-band passive microwave
observations, Remote Sens. Environ., 169, 232–242, 2015.
Zhang, H., Hagan, D. F. T., Dalagnol, R., and Liu, Y.: Forest Canopy Changes
in the Southern Amazon during the 2019 Fire Season Based on Passive
Microwave and Optical Satellite Observations, Remote Sens., 13, 2238,
https://doi.org/10.3390/rs13122238, 2021.
Short summary
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.
Pre- and post-fire values of four climate variables and four vegetation variables were analysed...
Altmetrics
Final-revised paper
Preprint