Articles | Volume 13, issue 7
https://doi.org/10.5194/bg-13-2061-2016
© 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-13-2061-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2016
Research article |
| 08 Apr 2016
Generation of a global fuel data set using the Fuel Characteristic Classification System
M. Lucrecia Pettinari
CORRESPONDING AUTHOR
Department of Geology, Geography and Environment, University of Alcala, Alcalá de Henares, 28801, Spain
Emilio Chuvieco
Department of Geology, Geography and Environment, University of Alcala, Alcalá de Henares, 28801, Spain
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Joshua Lizundia-Loiola, Magí Franquesa, Martin Boettcher, Grit Kirches, M. Lucrecia Pettinari, and Emilio Chuvieco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-399, https://doi.org/10.5194/essd-2020-399, 2021
Preprint withdrawn
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The article presents the burned area product of the Copernicus Climate Change Service, called C3SBA10. It is the adaptation to Sentinel-3 OLCI data of the FireCCI51 global BA product. The paper shows how C3SBA10 is fully consistent with its predecessor, ensuring an uninterrupted provision of global burned area data from 2001 to present. The product is freely available in two monthly formats: in continental tiles at 300m spatial resolution, and globally at 0.25 degrees.
Emilio Chuvieco, Joshua Lizundia-Loiola, Maria Lucrecia Pettinari, Ruben Ramo, Marc Padilla, Kevin Tansey, Florent Mouillot, Pierre Laurent, Thomas Storm, Angelika Heil, and Stephen Plummer
Earth Syst. Sci. Data, 10, 2015–2031, https://doi.org/10.5194/essd-10-2015-2018, https://doi.org/10.5194/essd-10-2015-2018, 2018
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We present a new global burned area product, generated from MODIS information and thermal anomalies data, providing the highest spatial resolution (approx. 250 m) global product to date. The dataset comprises the 2001–2016 time series of the MODIS archive, and includes two types of BA products: monthly full-resolution continental tiles and biweekly global grid files at a degraded resolution of 0.25 °, supplemented with several auxiliary variables useful for different applications.
T. T. van Leeuwen, G. R. van der Werf, A. A. Hoffmann, R. G. Detmers, G. Rücker, N. H. F. French, S. Archibald, J. A. Carvalho Jr., G. D. Cook, W. J. de Groot, C. Hély, E. S. Kasischke, S. Kloster, J. L. McCarty, M. L. Pettinari, P. Savadogo, E. C. Alvarado, L. Boschetti, S. Manuri, C. P. Meyer, F. Siegert, L. A. Trollope, and W. S. W. Trollope
Biogeosciences, 11, 7305–7329, https://doi.org/10.5194/bg-11-7305-2014, https://doi.org/10.5194/bg-11-7305-2014, 2014
Matthew W. Jones, Douglas I. Kelley, Chantelle A. Burton, Francesca Di Giuseppe, Maria Lucia F. Barbosa, Esther Brambleby, Andrew J. Hartley, Anna Lombardi, Guilherme Mataveli, Joe R. McNorton, Fiona R. Spuler, Jakob B. Wessel, John T. Abatzoglou, Liana O. Anderson, Niels Andela, Sally Archibald, Dolors Armenteras, Eleanor Burke, Rachel Carmenta, Emilio Chuvieco, Hamish Clarke, Stefan H. Doerr, Paulo M. Fernandes, Louis Giglio, Douglas S. Hamilton, Stijn Hantson, Sarah Harris, Piyush Jain, Crystal A. Kolden, Tiina Kurvits, Seppe Lampe, Sarah Meier, Stacey New, Mark Parrington, Morgane M. G. Perron, Yuquan Qu, Natasha S. Ribeiro, Bambang H. Saharjo, Jesus San-Miguel-Ayanz, Jacquelyn K. Shuman, Veerachai Tanpipat, Guido R. van der Werf, Sander Veraverbeke, and Gavriil Xanthopoulos
Earth Syst. Sci. Data, 16, 3601–3685, https://doi.org/10.5194/essd-16-3601-2024, https://doi.org/10.5194/essd-16-3601-2024, 2024
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This inaugural State of Wildfires report catalogues extreme fires of the 2023–2024 fire season. For key events, we analyse their predictability and drivers and attribute them to climate change and land use. We provide a seasonal outlook and decadal projections. Key anomalies occurred in Canada, Greece, and western Amazonia, with other high-impact events catalogued worldwide. Climate change significantly increased the likelihood of extreme fires, and mitigation is required to lessen future risk.
Elena Aragoneses, Mariano García, Michele Salis, Luís M. Ribeiro, and Emilio Chuvieco
Earth Syst. Sci. Data, 15, 1287–1315, https://doi.org/10.5194/essd-15-1287-2023, https://doi.org/10.5194/essd-15-1287-2023, 2023
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We present a new hierarchical fuel classification system with a total of 85 fuels that is useful for preventing fire risk at different spatial scales. Based on this, we developed a European fuel map (1 km resolution) using land cover datasets, biogeographic datasets, and bioclimatic modelling. We validated the map by comparing it to high-resolution data, obtaining high overall accuracy. Finally, we developed a crosswalk for standard fuel models as a first assignment of fuel parameters.
Fátima Arrogante-Funes, Inmaculada Aguado, and Emilio Chuvieco
Nat. Hazards Earth Syst. Sci., 22, 2981–3003, https://doi.org/10.5194/nhess-22-2981-2022, https://doi.org/10.5194/nhess-22-2981-2022, 2022
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We show that ecological value might be reduced by 50 % due to fire perturbation in ecosystems that have not developed in the presence of fire and/or that present changes in the fire regime. The biomes most affected are tropical and subtropical forests, tundra, and mangroves. Integration of biotic and abiotic fire regime and regeneration factors resulted in a powerful way to map ecological vulnerability to fire and develop assessments to generate adaptation plans of management in forest masses.
Joshua Lizundia-Loiola, Magí Franquesa, Martin Boettcher, Grit Kirches, M. Lucrecia Pettinari, and Emilio Chuvieco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-399, https://doi.org/10.5194/essd-2020-399, 2021
Preprint withdrawn
Short summary
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The article presents the burned area product of the Copernicus Climate Change Service, called C3SBA10. It is the adaptation to Sentinel-3 OLCI data of the FireCCI51 global BA product. The paper shows how C3SBA10 is fully consistent with its predecessor, ensuring an uninterrupted provision of global burned area data from 2001 to present. The product is freely available in two monthly formats: in continental tiles at 300m spatial resolution, and globally at 0.25 degrees.
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
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The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Matthias Forkel, Niels Andela, Sandy P. Harrison, Gitta Lasslop, Margreet van Marle, Emilio Chuvieco, Wouter Dorigo, Matthew Forrest, Stijn Hantson, Angelika Heil, Fang Li, Joe Melton, Stephen Sitch, Chao Yue, and Almut Arneth
Biogeosciences, 16, 57–76, https://doi.org/10.5194/bg-16-57-2019, https://doi.org/10.5194/bg-16-57-2019, 2019
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Weather, humans, and vegetation control the occurrence of fires. In this study we find that global fire–vegetation models underestimate the strong increase of burned area with higher previous-season plant productivity in comparison to satellite-derived relationships.
Emilio Chuvieco, Joshua Lizundia-Loiola, Maria Lucrecia Pettinari, Ruben Ramo, Marc Padilla, Kevin Tansey, Florent Mouillot, Pierre Laurent, Thomas Storm, Angelika Heil, and Stephen Plummer
Earth Syst. Sci. Data, 10, 2015–2031, https://doi.org/10.5194/essd-10-2015-2018, https://doi.org/10.5194/essd-10-2015-2018, 2018
Short summary
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We present a new global burned area product, generated from MODIS information and thermal anomalies data, providing the highest spatial resolution (approx. 250 m) global product to date. The dataset comprises the 2001–2016 time series of the MODIS archive, and includes two types of BA products: monthly full-resolution continental tiles and biweekly global grid files at a degraded resolution of 0.25 °, supplemented with several auxiliary variables useful for different applications.
Matthias Forkel, Wouter Dorigo, Gitta Lasslop, Irene Teubner, Emilio Chuvieco, and Kirsten Thonicke
Geosci. Model Dev., 10, 4443–4476, https://doi.org/10.5194/gmd-10-4443-2017, https://doi.org/10.5194/gmd-10-4443-2017, 2017
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Wildfires affect infrastructures, vegetation, and the atmosphere. However, it is unclear how fires should be accurately represented in global vegetation models. We introduce here a new flexible data-driven fire modelling approach that allows us to explore sensitivities of burned areas to satellite and climate datasets. Our results suggest combining observations with data-driven and process-oriented fire models to better understand the role of fires in the Earth system.
T. T. van Leeuwen, G. R. van der Werf, A. A. Hoffmann, R. G. Detmers, G. Rücker, N. H. F. French, S. Archibald, J. A. Carvalho Jr., G. D. Cook, W. J. de Groot, C. Hély, E. S. Kasischke, S. Kloster, J. L. McCarty, M. L. Pettinari, P. Savadogo, E. C. Alvarado, L. Boschetti, S. Manuri, C. P. Meyer, F. Siegert, L. A. Trollope, and W. S. W. Trollope
Biogeosciences, 11, 7305–7329, https://doi.org/10.5194/bg-11-7305-2014, https://doi.org/10.5194/bg-11-7305-2014, 2014
J. Martínez-Fernández, E. Chuvieco, and N. Koutsias
Nat. Hazards Earth Syst. Sci., 13, 311–327, https://doi.org/10.5194/nhess-13-311-2013, https://doi.org/10.5194/nhess-13-311-2013, 2013
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Biogeosciences, 21, 3305–3319, https://doi.org/10.5194/bg-21-3305-2024, https://doi.org/10.5194/bg-21-3305-2024, 2024
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Understanding the drivers of forest productivity is key for accurately assessing forests’ role in the global carbon cycle. Yet, despite significant research effort, it is not fully understood how the productivity of a forest can be deduced from its stand structure. We suggest tackling this problem by identifying the share and structure of immature trees within forests and show that this approach could significantly improve estimates of forests’ net productivity and carbon uptake.
Arsène Druel, Julien Ruffault, Hendrik Davi, André Chanzy, Olivier Marloie, Miquel De Cáceres, Florent Mouillot, Christophe François, Kamel Soudani, and Nicolas K. Martin-StPaul
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Mery Ingrid Guimarães de Alencar, Rafael D. Guariento, Bertrand Guenet, Luciana S. Carneiro, Eduardo L. Voigt, and Adriano Caliman
Biogeosciences, 21, 3165–3182, https://doi.org/10.5194/bg-21-3165-2024, https://doi.org/10.5194/bg-21-3165-2024, 2024
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Pierre-Alexis Herrault, Albin Ullmann, and Damien Ertlen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1935, https://doi.org/10.5194/egusphere-2024-1935, 2024
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Biogeosciences, 21, 2909–2935, https://doi.org/10.5194/bg-21-2909-2024, https://doi.org/10.5194/bg-21-2909-2024, 2024
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Biogeosciences, 21, 2641–2653, https://doi.org/10.5194/bg-21-2641-2024, https://doi.org/10.5194/bg-21-2641-2024, 2024
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Biogeosciences, 21, 2133–2142, https://doi.org/10.5194/bg-21-2133-2024, https://doi.org/10.5194/bg-21-2133-2024, 2024
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Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
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Jorge F. Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L. Celis-Diez, and Juan J. Armesto
Biogeosciences, 21, 1371–1389, https://doi.org/10.5194/bg-21-1371-2024, https://doi.org/10.5194/bg-21-1371-2024, 2024
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For 8 years we sampled a temperate rainforest and a peatland in Chile to estimate their efficiency to capture carbon per unit of water lost. The efficiency is more related to the water lost than to the carbon captured and is mainly driven by evaporation instead of transpiration. This is the first report from southern South America and highlights that ecosystems might behave differently in this area, likely explained by the high annual precipitation (~ 2100 mm) and light-limited conditions.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Florian Zellweger, Eric Sulmoni, Johanna T. Malle, Andri Baltensweiler, Tobias Jonas, Niklaus E. Zimmermann, Christian Ginzler, Dirk Nikolaus Karger, Pieter De Frenne, David Frey, and Clare Webster
Biogeosciences, 21, 605–623, https://doi.org/10.5194/bg-21-605-2024, https://doi.org/10.5194/bg-21-605-2024, 2024
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The microclimatic conditions experienced by organisms living close to the ground are not well represented in currently used climate datasets derived from weather stations. Therefore, we measured and mapped ground microclimate temperatures at 10 m spatial resolution across Switzerland using a novel radiation model. Our results reveal a high variability in microclimates across different habitats and will help to better understand climate and land use impacts on biodiversity and ecosystems.
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin De Kauwe, Sam Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
EGUsphere, https://doi.org/10.5194/egusphere-2023-3084, https://doi.org/10.5194/egusphere-2023-3084, 2024
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This paper evaluates land models – computer based models that simulate ecosystem dynamics, the land carbon, water and energy cycles and the role of land in the climate system. It uses machine learning / AI approaches to show that despite the complexity of land models, they do not perform nearly as well as they could, given the amount of information they are provided with about the prediction problem.
Andrew Kulmatiski, Martin C. Holdrege, Cristina Chirvasă, and Karen H. Beard
Biogeosciences, 21, 131–143, https://doi.org/10.5194/bg-21-131-2024, https://doi.org/10.5194/bg-21-131-2024, 2024
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Warmer air and larger precipitation events are changing the way water moves through the soil and into plants. Here we show that detailed descriptions of root distributions can predict plant growth responses to changing precipitation patterns. Shrubs and forbs increased growth, while grasses showed no response to increased precipitation intensity, and these responses were predicted by plant rooting distributions.
Bonaventure Ntirugulirwa, Etienne Zibera, Nkuba Epaphrodite, Aloysie Manishimwe, Donat Nsabimana, Johan Uddling, and Göran Wallin
Biogeosciences, 20, 5125–5149, https://doi.org/10.5194/bg-20-5125-2023, https://doi.org/10.5194/bg-20-5125-2023, 2023
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Twenty tropical tree species native to Africa were planted along an elevation gradient (1100 m, 5.4 °C difference). We found that early-successional (ES) species, especially from lower elevations, grew faster at warmer sites, while several of the late-successional (LS) species, especially from higher elevations, did not respond or grew slower. Moreover, a warmer climate increased tree mortality in LS species, but not much in ES species.
Lilian Vallet, Charbel Abdallah, Thomas Lauvaux, Lilian Joly, Michel Ramonet, Philippe Ciais, Morgan Lopez, Irène Xueref-Remy, and Florent Mouillot
EGUsphere, https://doi.org/10.5194/egusphere-2023-2421, https://doi.org/10.5194/egusphere-2023-2421, 2023
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2022 fire season had a huge impact on European temperate forest, with several large fires exhibiting prolonged soil combustion reported. We analyzed CO and CO2 concentration recorded at nearby atmospheric towers, revealing intense smoldering combustion. We refined a fire emission model to incorporate this process. We estimated 7.95 MteqCO2 fire emission, twice the global estimate. Fires contributed to 1.97 % of the country's annual carbon footprint, reducing forest carbon sink by 30 % this year.
Philippe Choler
Biogeosciences, 20, 4259–4272, https://doi.org/10.5194/bg-20-4259-2023, https://doi.org/10.5194/bg-20-4259-2023, 2023
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The year 2022 was unique in that the summer heat wave and drought led to a widespread reduction in vegetation growth at high elevation in the European Alps. This impact was unprecedented in the southwestern, warm, and dry part of the Alps. Over the last 2 decades, water has become a co-dominant control of vegetation activity in areas that were, so far, primarily controlled by temperature, and the growth of mountain grasslands has become increasingly sensitive to moisture availability.
Adriana Simonetti, Raquel Fernandes Araujo, Carlos Henrique Souza Celes, Flávia Ranara da Silva e Silva, Joaquim dos Santos, Niro Higuchi, Susan Trumbore, and Daniel Magnabosco Marra
Biogeosciences, 20, 3651–3666, https://doi.org/10.5194/bg-20-3651-2023, https://doi.org/10.5194/bg-20-3651-2023, 2023
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We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in a central Amazon forest. Our results indicate that small gaps associated with branch fall were the most frequent. Biomass losses were partially controlled by gap area, with branch fall and snapping contributing the least and greatest relative values, respectively. Our study highlights the potential of drone images for monitoring canopy dynamics in dense tropical forests.
Silvia Caldararu, Victor Rolo, Benjamin D. Stocker, Teresa E. Gimeno, and Richard Nair
Biogeosciences, 20, 3637–3649, https://doi.org/10.5194/bg-20-3637-2023, https://doi.org/10.5194/bg-20-3637-2023, 2023
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Ecosystem manipulative experiments are large experiments in real ecosystems. They include processes such as species interactions and weather that would be omitted in more controlled settings. They offer a high level of realism but are underused in combination with vegetation models used to predict the response of ecosystems to global change. We propose a workflow using models and ecosystem experiments together, taking advantage of the benefits of both tools for Earth system understanding.
Katharina Ramskogler, Bettina Knoflach, Bernhard Elsner, Brigitta Erschbamer, Florian Haas, Tobias Heckmann, Florentin Hofmeister, Livia Piermattei, Camillo Ressl, Svenja Trautmann, Michael H. Wimmer, Clemens Geitner, Johann Stötter, and Erich Tasser
Biogeosciences, 20, 2919–2939, https://doi.org/10.5194/bg-20-2919-2023, https://doi.org/10.5194/bg-20-2919-2023, 2023
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Primary succession in proglacial areas depends on complex driving forces. To concretise the complex effects and interaction processes, 39 known explanatory variables assigned to seven spheres were analysed via principal component analysis and generalised additive models. Key results show that in addition to time- and elevation-dependent factors, also disturbances alter vegetation development. The results are useful for debates on vegetation development in a warming climate.
Zijing Li, Zhiyong Li, Xuze Tong, Lei Dong, Ying Zheng, Jinghui Zhang, Bailing Miao, Lixin Wang, Liqing Zhao, Lu Wen, Guodong Han, Frank Yonghong Li, and Cunzhu Liang
Biogeosciences, 20, 2869–2882, https://doi.org/10.5194/bg-20-2869-2023, https://doi.org/10.5194/bg-20-2869-2023, 2023
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We used random forest models and structural equation models to assess the relative importance of the present climate and paleoclimate as determinants of diversity and aboveground biomass. Results showed that paleoclimate changes and modern climate jointly determined contemporary biodiversity patterns, while community biomass was mainly affected by modern climate. These findings suggest that contemporary biodiversity patterns may be affected by processes at divergent temporal scales.
William Rupert Moore Flynn, Harry Jon Foord Owen, Stuart William David Grieve, and Emily Rebecca Lines
Biogeosciences, 20, 2769–2784, https://doi.org/10.5194/bg-20-2769-2023, https://doi.org/10.5194/bg-20-2769-2023, 2023
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Quantifying vegetation indices is crucial for ecosystem monitoring and modelling. Terrestrial laser scanning (TLS) has potential to accurately measure vegetation indices, but multiple methods exist, with little consensus on best practice. We compare three methods and extract wood-to-plant ratio, a metric used to correct for wood in leaf indices. We show corrective metrics vary with tree structure and variation among methods, highlighting the value of TLS data and importance of rigorous testing.
Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 20, 2727–2741, https://doi.org/10.5194/bg-20-2727-2023, https://doi.org/10.5194/bg-20-2727-2023, 2023
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In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
Josué Delgado-Balbuena, Henry W. Loescher, Carlos A. Aguirre-Gutiérrez, Teresa Alfaro-Reyna, Luis F. Pineda-Martínez, Rodrigo Vargas, and Tulio Arredondo
Biogeosciences, 20, 2369–2385, https://doi.org/10.5194/bg-20-2369-2023, https://doi.org/10.5194/bg-20-2369-2023, 2023
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In the semiarid grassland, an increase in soil moisture at shallow depths instantly enhances carbon release through respiration. In contrast, deeper soil water controls plant carbon uptake but with a delay of several days. Previous soil conditions, biological activity, and the size and timing of precipitation are factors that determine the amount of carbon released into the atmosphere. Thus, future changes in precipitation patterns could convert ecosystems from carbon sinks to carbon sources.
German Vargas Gutiérrez, Daniel Pérez-Aviles, Nanette Raczka, Damaris Pereira-Arias, Julián Tijerín-Triviño, L. David Pereira-Arias, David Medvigy, Bonnie G. Waring, Ember Morrisey, Edward Brzostek, and Jennifer S. Powers
Biogeosciences, 20, 2143–2160, https://doi.org/10.5194/bg-20-2143-2023, https://doi.org/10.5194/bg-20-2143-2023, 2023
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To study whether nutrient availability controls tropical dry forest responses to reductions in soil moisture, we established the first troughfall exclusion experiment in a tropical dry forest plantation system crossed with a fertilization scheme. We found that the effects of fertilization on net primary productivity are larger than the effects of a ~15 % reduction in soil moisture, although in many cases we observed an interaction between drought and nutrient additions, suggesting colimitation.
Alina Lucia Ludat and Simon Kübler
Biogeosciences, 20, 1991–2012, https://doi.org/10.5194/bg-20-1991-2023, https://doi.org/10.5194/bg-20-1991-2023, 2023
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Satellite-based analysis illustrates the impact of geological processes for the stability of the ecosystem in the Mara River basin (Kenya/Tanzania). Newly detected fault activity influences the course of river networks and modifies erosion–deposition patterns. Tectonic surface features and variations in rock chemistry lead to localized enhancement of clay and soil moisture values and seasonally stabilised vegetation growth patterns in this climatically vulnerable region.
Erica Jaakkola, Antje Gärtner, Anna Maria Jönsson, Karl Ljung, Per-Ola Olsson, and Thomas Holst
Biogeosciences, 20, 803–826, https://doi.org/10.5194/bg-20-803-2023, https://doi.org/10.5194/bg-20-803-2023, 2023
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Increased spruce bark beetle outbreaks were recently seen in Sweden. When Norway spruce trees are attacked, they increase their production of VOCs, attempting to kill the beetles. We provide new insights into how the Norway spruce act when infested and found the emitted volatiles to increase up to 700 times and saw a change in compound blend. We estimate that the 2020 bark beetle outbreak in Sweden could have increased the total monoterpene emissions from the forest by more than 10 %.
Georg Wohlfahrt, Albin Hammerle, Felix M. Spielmann, Florian Kitz, and Chuixiang Yi
Biogeosciences, 20, 589–596, https://doi.org/10.5194/bg-20-589-2023, https://doi.org/10.5194/bg-20-589-2023, 2023
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The trace gas carbonyl sulfide (COS), which is taken up by plant leaves in a process very similar to photosynthesis, is thought to be a promising proxy for the gross uptake of carbon dioxide by plants. Here we propose a new framework for estimating a key metric to that end, the so-called leaf relative uptake rate. The values we deduce by applying principles of plant optimality are considerably lower than published values and may help reduce the uncertainty of the global COS budget.
François Jonard, Andrew F. Feldman, Daniel J. Short Gianotti, and Dara Entekhabi
Biogeosciences, 19, 5575–5590, https://doi.org/10.5194/bg-19-5575-2022, https://doi.org/10.5194/bg-19-5575-2022, 2022
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We investigate the spatial and temporal patterns of light and water limitation in plant function at the ecosystem scale. Using satellite observations, we characterize the nonlinear relationships between sun-induced chlorophyll fluorescence (SIF) and water and light availability. This study highlights that soil moisture limitations on SIF are found primarily in drier environments, while light limitations are found in intermediately wet regions.
Nikolai Knapp, Sabine Attinger, and Andreas Huth
Biogeosciences, 19, 4929–4944, https://doi.org/10.5194/bg-19-4929-2022, https://doi.org/10.5194/bg-19-4929-2022, 2022
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The biomass of forests is determined by forest growth and mortality. These quantities can be estimated with different methods such as inventories, remote sensing and modeling. These methods are usually being applied at different spatial scales. The scales influence the obtained frequency distributions of biomass, growth and mortality. This study suggests how to transfer between scales, when using forest models of different complexity for a tropical forest.
Kai Chen, Kevin S. Burgess, Fangliang He, Xiang-Yun Yang, Lian-Ming Gao, and De-Zhu Li
Biogeosciences, 19, 4801–4810, https://doi.org/10.5194/bg-19-4801-2022, https://doi.org/10.5194/bg-19-4801-2022, 2022
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Why does plants' distributional range size vary enormously? This study provides evidence that seed mass, intraspecific seed mass variation, seed dispersal mode and phylogeny contribute to explaining species distribution variation on a geographic scale. Our study clearly shows the importance of including seed life-history traits in modeling and predicting the impact of climate change on species distribution of seed plants.
Ying Ying Chen, Huan Yang, Gen Sheng Bao, Xiao Pan Pang, and Zheng Gang Guo
Biogeosciences, 19, 4521–4532, https://doi.org/10.5194/bg-19-4521-2022, https://doi.org/10.5194/bg-19-4521-2022, 2022
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Investigating the effect of the presence of plateau pikas on ecosystem services of alpine meadows is helpful to understand the role of the presence of small mammalian herbivores in grasslands. The results of this study showed that the presence of plateau pikas led to higher biodiversity conservation, soil nitrogen and phosphorus maintenance, and carbon sequestration of alpine meadows, whereas it led to lower forage available to livestock and water conservation of alpine meadows.
Clement Jean Frédéric Delcourt and Sander Veraverbeke
Biogeosciences, 19, 4499–4520, https://doi.org/10.5194/bg-19-4499-2022, https://doi.org/10.5194/bg-19-4499-2022, 2022
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This study provides new equations that can be used to estimate aboveground tree biomass in larch-dominated forests of northeast Siberia. Applying these equations to 53 forest stands in the Republic of Sakha (Russia) resulted in significantly larger biomass stocks than when using existing equations. The data presented in this work can help refine biomass estimates in Siberian boreal forests. This is essential to assess changes in boreal vegetation and carbon dynamics.
Iris Johanna Aalto, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka
Biogeosciences, 19, 4227–4247, https://doi.org/10.5194/bg-19-4227-2022, https://doi.org/10.5194/bg-19-4227-2022, 2022
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Tree canopies are strong moderators of understory climatic conditions. In tropical areas, trees cool down the microclimates. Using remote sensing and field measurements we show how even intermediate canopy cover and agroforestry trees contributed to buffering the hottest temperatures in Kenya. The cooling effect was the greatest during hot days and in lowland areas, where the ambient temperatures were high. Adopting agroforestry practices in the area could assist in mitigating climate change.
Jing Wang and Xuefa Wen
Biogeosciences, 19, 4197–4208, https://doi.org/10.5194/bg-19-4197-2022, https://doi.org/10.5194/bg-19-4197-2022, 2022
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Excess radiation and low temperatures exacerbate drought impacts on canopy conductance (Gs) among transects. The primary determinant of drought stress on Gs was soil moisture on the Loess Plateau (LP) and the Mongolian Plateau (MP), whereas it was the vapor pressure deficit on the Tibetan Plateau (TP). Radiation exhibited a negative effect on Gs via drought stress within transects, while temperature had negative effects on stomatal conductance on the TP but no effect on the LP and MP.
Sylvain Monteux, Janine Mariën, and Eveline J. Krab
Biogeosciences, 19, 4089–4105, https://doi.org/10.5194/bg-19-4089-2022, https://doi.org/10.5194/bg-19-4089-2022, 2022
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Quantifying the feedback from the decomposition of thawing permafrost soils is crucial to establish adequate climate warming mitigation scenarios. Past efforts have focused on abiotic and to some extent microbial drivers of decomposition but not biotic drivers such as soil fauna. We added soil fauna (Collembola Folsomia candida) to permafrost, which introduced bacterial taxa without affecting bacterial communities as a whole but increased CO2 production (+12 %), presumably due to priming.
Mirjam Pfeiffer, Munir P. Hoffmann, Simon Scheiter, William Nelson, Johannes Isselstein, Kingsley Ayisi, Jude J. Odhiambo, and Reimund Rötter
Biogeosciences, 19, 3935–3958, https://doi.org/10.5194/bg-19-3935-2022, https://doi.org/10.5194/bg-19-3935-2022, 2022
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Smallholder farmers face challenges due to poor land management and climate change. We linked the APSIM crop model and the aDGVM2 vegetation model to investigate integrated management options that enhance ecosystem functions and services. Sustainable intensification moderately increased yields. Crop residue grazing reduced feed gaps but not for dry-to-wet season transitions. Measures to improve soil water and nutrient status are recommended. Landscape-level ecosystem management is essential.
Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, and Yadvinder Malhi
Biogeosciences, 19, 3649–3661, https://doi.org/10.5194/bg-19-3649-2022, https://doi.org/10.5194/bg-19-3649-2022, 2022
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We investigated dynamic nutrient flow and demand in a typical savanna and a transition forest to understand how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Savanna relied on nutrient resorption from wood, and nutrient demand was equally partitioned between leaves, wood and fine roots. Transition forest relied on resorption from the canopy biomass and nutrient demand was predominantly driven by leaves.
Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr
Biogeosciences, 19, 3317–3336, https://doi.org/10.5194/bg-19-3317-2022, https://doi.org/10.5194/bg-19-3317-2022, 2022
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Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
Chen Yang, Yue Shi, Wenjuan Sun, Jiangling Zhu, Chengjun Ji, Yuhao Feng, Suhui Ma, Zhaodi Guo, and Jingyun Fang
Biogeosciences, 19, 2989–2999, https://doi.org/10.5194/bg-19-2989-2022, https://doi.org/10.5194/bg-19-2989-2022, 2022
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Quantifying China's forest biomass C pool is important in understanding C cycling in forests. However, most of studies on forest biomass C pool were limited to the period of 2004–2008. Here, we used a biomass expansion factor method to estimate C pool from 1977 to 2018. The results suggest that afforestation practices, forest growth, and environmental changes were the main drivers of increased C sink. Thus, this study provided an essential basis for achieving China's C neutrality target.
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger, and Ralf Kiese
Biogeosciences, 19, 2699–2727, https://doi.org/10.5194/bg-19-2699-2022, https://doi.org/10.5194/bg-19-2699-2022, 2022
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Actual maps of grassland traits could improve local farm management and support environmental assessments. We developed, assessed, and applied models to estimate dry biomass and plant nitrogen (N) concentration in pre-Alpine grasslands with drone-based multispectral data and canopy height information. Our results indicate that machine learning algorithms are able to estimate both parameters but reach a better level of performance for biomass.
Ramona J. Heim, Andrey Yurtaev, Anna Bucharova, Wieland Heim, Valeriya Kutskir, Klaus-Holger Knorr, Christian Lampei, Alexandr Pechkin, Dora Schilling, Farid Sulkarnaev, and Norbert Hölzel
Biogeosciences, 19, 2729–2740, https://doi.org/10.5194/bg-19-2729-2022, https://doi.org/10.5194/bg-19-2729-2022, 2022
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Fires will probably increase in Arctic regions due to climate change. Yet, the long-term effects of tundra fires on carbon (C) and nitrogen (N) stocks and cycling are still unclear. We investigated the long-term fire effects on C and N stocks and cycling in soil and aboveground living biomass.
We found that tundra fires did not affect total C and N stocks because a major part of the stocks was located belowground in soils which were largely unaltered by fire.
Aileen B. Baird, Edward J. Bannister, A. Robert MacKenzie, and Francis D. Pope
Biogeosciences, 19, 2653–2669, https://doi.org/10.5194/bg-19-2653-2022, https://doi.org/10.5194/bg-19-2653-2022, 2022
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Forest environments contain a wide variety of airborne biological particles (bioaerosols) important for plant and animal health and biosphere–atmosphere interactions. Using low-cost sensors and a free-air carbon dioxide enrichment (FACE) experiment, we monitor the impact of enhanced CO2 on airborne particles. No effect of the enhanced CO2 treatment on total particle concentrations was observed, but a potential suppression of high concentration bioaerosol events was detected under enhanced CO2.
Melanie S. Verlinden, Hamada AbdElgawad, Arne Ven, Lore T. Verryckt, Sebastian Wieneke, Ivan A. Janssens, and Sara Vicca
Biogeosciences, 19, 2353–2364, https://doi.org/10.5194/bg-19-2353-2022, https://doi.org/10.5194/bg-19-2353-2022, 2022
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Zea mays grows in mesocosms with different soil nutrition levels. At low phosphorus (P) availability, leaf physiological activity initially decreased strongly. P stress decreased over the season. Arbuscular mycorrhizal fungi (AMF) symbiosis increased over the season. AMF symbiosis is most likely responsible for gradual reduction in P stress.
Guoyu Lan, Bangqian Chen, Chuan Yang, Rui Sun, Zhixiang Wu, and Xicai Zhang
Biogeosciences, 19, 1995–2005, https://doi.org/10.5194/bg-19-1995-2022, https://doi.org/10.5194/bg-19-1995-2022, 2022
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Little is known about the impact of rubber plantations on diversity of the Great Mekong Subregion. In this study, we uncovered latitudinal gradients of plant diversity of rubber plantations. Exotic species with high dominance result in loss of plant diversity of rubber plantations. Not all exotic species would reduce plant diversity of rubber plantations. Much more effort should be made to balance agricultural production with conservation goals in this region.
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences, 19, 1891–1911, https://doi.org/10.5194/bg-19-1891-2022, https://doi.org/10.5194/bg-19-1891-2022, 2022
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Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
Biogeosciences, 19, 1913–1932, https://doi.org/10.5194/bg-19-1913-2022, https://doi.org/10.5194/bg-19-1913-2022, 2022
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Although vegetation responds to climate at a wide range of timescales, models of the land carbon sink often ignore responses that do not occur instantly. In this study, we explore the timescales at which Australian ecosystems respond to climate. We identified that carbon and water fluxes can be modelled more accurately if we include environmental drivers from up to a year in the past. The importance of antecedent conditions is related to ecosystem aridity but is also influenced by other factors.
Cited articles
Agee, J. K., Wakimoto, R. H., Darley, E. F., and Biswell, H. H.: Eucalyptus fuel dynamics, and fire hazard in the Oakland Hills, Calif. Agr., 27, 13–15, 1973.
Alonso-Canas, I. and Chuvieco, E.: Global burned area mapping from ENVISAT-MERIS and MODIS active fire data, Remote Sens. Environ., 163, 140–152, https://doi.org/10.1016/j.rse.2015.03.011, 2015.
Anderson, H. E.: Aids to Determining Fuel Models for Estimating Fire Behavior, USDA Forest Service, Intermountain Forest and Range Experiment Station, Odgen, UT, General Technical Report INT-122, 26 pp., 1982.
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., and Houghton, R. A.: Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nature Climate Change, 2, 182–185, https://doi.org/10.1038/nclimate1354, 2012.
Banin, L., Lewis, S. L., Lopez-Gonzalez, G., Baker, T. R., Quesada, C. A., Chao, K.-J., Burslem, D. F. R. P., Nilus, R., Abu Salim, K., Keeling, H. C., Tan, S., Davies, S. J., Monteagudo Mendoza, A., Vasquez, R., Lloyd, J., Neill, D. A., Pitman, N., and Phillips, O. L.: Tropical forest wood production: a cross-continental comparison, J. Ecol., 102, 1025–1037, https://doi.org/10.1111/1365-2745.12263, 2014.
Barthlott, W., Hostert, A., Kier, G., Küper, W., Kreft, H., Mutke, J., Rafiqpoor, M. D., and Sommer, J. H.: Geographic patterns of vascular plant diversity at continental to global scales, Erdkunde, 61, 305–316, 2007.
Bartholomé, E. and Belward, A. S.: GLC2000: a new approach to global land cover mapping from Earth observation data, Int. J. Remote Sens., 26, 1959–1977, https://doi.org/10.1080/01431160412331291297, 2005.
Bicheron, P., Defourny, P., Brockmann, C., Schouten, L., Vancutsem, C., Huc, M., Bontemps, S., Leroy, M., Achard, F., Herold, M., Ranera, F., and Arino, O.: GLOBCOVER: Products description and validation report, MEDIAS-France/POSTEL, Toulouse, France, 47 pp., 2008.
Bonan, G. B. and Levis, S.: Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models, Global Biogeochem. Cy., 16, 5-1–5-23, https://doi.org/10.1029/2000GB001360, 2002.
Cannavam Rípoli, T. C., Molina Jr., W. F., and Cunali Rípoli, M. L.: Energy potential of sugar cane biomass in Brazil, Sci. Agr., 57, 677–681, 2000.
Carroll, M., Townshend, J., Hansen, M., DiMiceli, C., Sohlberg, R., and Wurster, K.: MODIS Vegetative Cover Conversion and Vegetation Continuous Field, in: Land Remote Sensing and Global Environmental Change, edited by: Ramachandran, B., Justice, C. O., and Abrams, M. J., Remote Sensing and Digital Image Processing, Springer New York, 11, 725–745, 2011.
Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, M., Thurner, M., Weber, U., Ahrens, B., Beer, C., Cescatti, A., Randerson, J. T., and Reichstein, M.: Global covariation of carbon turnover times with climate in terrestrial ecosystems, Nature, 514, 213–217, https://doi.org/10.1038/nature13731, 2014.
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. T., Azqueta, D., Román, M. V., Bastarrika, A., Martínez, S., Recondo, C., Zapico, E., and Martínez-Vega, F. J.: Integrating geospatial information into fire risk assessment, Int. J. Wildland Fire, 23, 606–619, https://doi.org/10.1071/WF12052, 2014.
Cochrane, M. A., Alencar, A., Schulze, M. D., Souza Jr., C. M., Nepstad, D. C., Lefebvre, P., and Davidson, E. A.: Positive feedbacks in the fire dynamic of closed canopy tropical forests, Science, 284, 1832–1835, 1999.
Cohen, J. D. and Deeming, J. E.: The National Fire-Danger Rating System: basic equations, USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Berkeley, CA, General Technical Report PSW-82, 23 pp., 1985.
de Groot, W. J., Goldammer, J. G., Keenan, T., Brady, M. A., Lynham, T. J., Justice, C. O., Csiszar, I. A., and O'Loughlin, K.: Developing a global early warning system for wildland fire, V International Conference on Forest Fire Research, Coimbra, Portugal, 12 pp., 2006.
Department of the Environment and Water Resources: Australia's Native Vegetation – A summary of Australia's Major Vegetation Groups, edited by: Department of the Environment and Water Resources, Australian Government, Canberra, 44 pp., 2007.
Di Gregorio, A.: Land Cover Classification System. Classification concepts and user manual, Software version 2, Environment and Natural Resources Series, FAO, Rome, 208 pp., 2005.
DiMiceli, C. M., Carroll, M. L., Sohlberg, R. A., Huang, C., Hansen, M. C., and Townsend, J. R. G.: Vegetation Continuous Field (MOD44B), Collection 5 Percent Tree Cover, University of Maryland, College Park, Maryland, 2011.
Dymond, C. C., Roswintiarti, O., and Brady, M.: Characterizing and mapping fuels for Malaysia and western Indonesia, Int. J. Wildland Fire, 13, 323–334, 2004.
FAO/IIASA/ISRIC/ISSCAS/JRC: Harmonized World Soil Database (version 1.2), FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012.
Finney, M. A.: FARSITE: Fire Area Simulator – Model development and evaluation, USDA Forest Service, Rocky Mountain Research Station, RMRS-RP-4 Revised, 52 pp., 2004.
Finney, M. A.: An Overview of FlamMap Fire Modeling Capabilities, in: Fuels Management-How to Measure Success, edited by: Andrews, P. L. and Butler, B. W., Conference Proceedings, 28–30 March 2006, Portland, OR, Proceedings RMRS-P-41, Fort Collins, CO, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 213–220, 2006.
Finney, M. A., McHugh, C. W., Grenfell, I. C., Riley, K. L., and Short, K. C.: A simulation of probabilistic wildfire riks components for the continental United States, Stoch. Env. Res Risk A., 25, 973–1000, https://doi.org/10.1007/s00477-011-0462-z, 2011.
French, N. H. F., McKenzie, D., Ottmar, R. D., McCarty, J. L., Norheim, R. A., Hamermesh, N., and Soja, A. J.: A US national fuels database and map for calculating carbon emissions from wildland and prescribed fire, 4th Fire Behavior and Fuels Conference, 1–4 July 2013, St. Petersburg, Russia, 8 pp., 2013.
Fritz, S., See, L., McCallum, I., et al.: Mapping global cropland and field size, Glob. Change Biol., 21, 1980–1992, https://doi.org/10.1111/gcb.12838, 2015.
García-Feced, C., Weissteiner, C. J., Baraldi, A., Paracchini, M. L., Maes, J., Zulian, G., Kempen, M., Elbersen, B., and Pérez-Soba, M.: Semi-natural vegetation in agricultural land: European map and links to ecosystem service supply, Agron. Sustain. Dev., 35, 273–283, https://doi.org/10.1007/s13593-014-0238-1, 2015.
Giglio, L., Randerson, J. T., and van der Werf, G. R.: Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4), J. Geophys Res.-Biogeo., 118, 317–328, https://doi.org/10.1002/jgrg.20042, 2013.
Harden, J. W., Manies, K. L., Turetsky, M. R., and Neff, J. C.: Effects of wildfire and permafrost on soil organic matter and soil climate in interior Alaska, Glob. Change Biol., 12, 2391–2403, https://doi.org/10.1111/j.1365-2486.2006.01255.x, 2006.
Jenkins, B. M., Turn, S. Q., and Williams, R. B.: Atmospheric emissions from agricultural burning in California: determination of burn fractions, distribution factors, and crop-specific contributions, Agr. Ecosyst. Environ., 38, 313–330, 1992.
Keane, R. E., Burgan, R. E., and van Wagtendonk, J.: Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling, Int. J. Wildland Fire, 10, 301–319, 2001.
Kesselmeier, J. and Staudt, M.: Biogenic volatile organic compounds (VOC): an overview on emission, physiology and ecology, J. Atmos. Chem., 33, 23–88, 1999.
Kreft, H. and Jetz, W.: Global patterns and determinants of vascular plant diversity, P. Natl. Acad. Sci. USA, 104, 5925–5930, 2007.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, GB1015, https://doi.org/10.1029/2003GB002199, 2005.
Langner, A., Achard, F., and Grassi, G.: Can recent pan-tropical biomass maps be used to derive alternative Tier 1 values for reporting REDD+ activities under UNFCCC?, Environ. Res. Lett., 9, 124008, https://doi.org/10.1088/1748-9326/9/12/124008, 2014.
Lehmann, C. E. R., Anderson, M. T., Sankaran, M., Higgins, S. I., Archibald, S., Hoffman, W. A., Hanan, N. P., Williams, R. J., Fensham, R. J., Felfili, J., Hutley, L. B., Ratnam, J., San Jose, J., Montes, R., Franklin, D., Russell-Smith, J., Ryan, C. M., Durigan, G., Hiernaux, P., Haidar, R., Bowman, D. M. J. S., and Bond, W. J.: Savanna vegetation-fire-climate relationships differ among continents, Science, 343, 548–552, https://doi.org/10.1126/science.1247355, 2014.
Loveland, T. R., Reed, B. C., Brown, J. F., Ohlen, D. O., Zhu, Z., Yang, L., and Merchant, J. W.: Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data, Int. J. Remote Sens., 21, 1303–1330, 2000.
McCarty, J. L., Korontzi, S., Justice, C. O., and Loboda, T.: The spatial and temporal distribution of crop residue burning in the continental United States, Sci. Total Environ., 407, 5701–5712, https://doi.org/10.1016/j.scitotenv.2009.07.009, 2009.
McKenzie, D., Raymond, C. L., Kellogg, L.-K. B., Norheim, R. A., Andreu, A. G., Bayard, A. C., Kopper, K. E., and Elman, E.: Mapping fuels at multiple scales: landscape applications of the Fuel Characteristic Classification System, Can. J. Forest Res., 37, 2421–2437, https://doi.org/10.1139/X07-056, 2007.
Mitchard, E. T. A., Saatchi, S. S., Baccini, A., Asner, G. P., Goetz, S. J., Harris, N. L., and Brown, S.: Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps, Carbon Balance and Management, 8, 13 pp., https://doi.org/10.1186/1750-0680-8-10, 2013.
Mitchard, E. T. A., Feldpausch, T. R., Brienen, R. J. W., et al.: Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites, Global Ecol. Biogeogr., 23, 935–946, https://doi.org/10.1111/geb.12168, 2014.
Monfreda, C., Ramankutty, N., and Foley, J. A.: Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogeochem. Cy., 22, GB1022, https://doi.org/10.1029/2007GB002947, 2008.
Morfín-Ríos, J. E., Alvarado-Celestino, E., Jardel-Peláez, E. J., Vihnanek, R. E., Wright, D. K., Michel-Fuentes, J. M., Wright, C. S., Ottmar, R. D., Sandberg, D. V., and Nájera-Díaz, A.: Photo series for quantifying forest fuels in Mexico: montane subtropical forests of the Sierra Madre del Sur and temperate forests and montane shrubland of the northern Sierra Madre Oriental., University of Washington, College of Forest Resources, Seattle, Pacific Wildland Fire Sciences Laboratory Special Pub. No. 1, 93 pp., 2008.
Muche, G., Schmiedel, U., and Jürgens, N.: BIOTA Southern Africa Biodiversity Observatories Vegetation Database, Biodiversity & Ecology, 4, 111–123, https://doi.org/10.7809/b-e.00066, 2012.
Nadeau, L. B., McRae, D. J., and Jin, J.-Z.: Development of a National Fuel-type Map for Canada Using Fuzzy Logic, Canadian Forest Service, Edmonton, Information Report NOR-X-406, 26 pp., 2005.
Olesen, J. E., Trnka, M., Kersebaum, K. C., Skjelvag, A. O., Seguin, B., Peltonen-Sainio, P., Rossi, F., Kozyra, J., and Micale, F.: Impacts and adaptation of European crop production systems to climate change, Eur. J. Agron., 34, 96–112, 2011.
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., and Kassem, K. R.: Terrestrial Ecoregions of the World: A New Map of Life on Earth, BioScience, 51, 933–938, 2001.
Ottmar, R. D., Vihnanek, R. E., Miranda, H. S., Sato, M. N., and Andrade, S. M. A.: Stereo Photo Series for quantifying cerrado fuels in Central Brazil – Volume I, USDA Forest Service, Pacific Northwest Research Station, Seattle, General Technical Report PNW-GTR-519, 88 pp., 2001.
Ottmar, R. D., Sandberg, D. V., Riccardi, C. L., and Prichard, S. J.: An overview of the Fuel Characteristic Classification System – Quantifying, classifying, and creating fuelbeds for resource planning, Can. J. Forest Res., 37, 2383–2393, 2007.
Pausas, J. G. and Keeley, J. E.: A burning story: the role of fire in the history of life, BioScience, 59, 593–601, https://doi.org/10.1525/bio.2009.59.7.10, 2009.
Pettinari, M. L.: Global Fuelbed Dataset, Alcala de Henares, https://doi.org/10.1594/PANGAEA.849808, 2015.
Pettinari, M. L., Ottmar, R. D., Prichard, S. J., Andreu, A. G., and Chuvieco, E.: Development and mapping of fuel characteristics and associated fire potentials for South America, Int. J. Wildland Fire, 23, 643–654, https://doi.org/10.1071/WF12137, 2014.
Poulter, B., Ciais, P., Hodson, E., Lischke, H., Maignan, F., Plummer, S., and Zimmermann, N. E.: Plant functional type mapping for earth system models, Geosci. Model Dev., 4, 993–1010, https://doi.org/10.5194/gmd-4-993-2011, 2011.
Prasad, V. K., Kant, Y., Gupta, P. K., Sharma, C., Mitra, A. P., and Badarinath, K. V. S.: Biomass and combustion characteristics of secondary mixed deciduous forests in Eastern Ghats of India, Atmos. Environ., 35, 3085–3095, 2001.
Prichard, S. J., Ottmar, R. D., and Anderson, G. K.: Consume 3.0 User's Guide, USDA Forest Service, Pacific Northwest Research Station, Seattle, WA, 239 pp., 2005.
Prichard, S. J., Sandberg, D. V., Ottmar, R. D., Eberhardt, E., Andreu, A., Eagle, P., and Swedin, K.: Fuel Characteristic Classification System Version 3.0: Technical Documentation, USDA Forest Service, Pacific Norhtwest Research Station, Portland, OR, PNW-GTR-887, 88 pp., 2013.
PROMETHEUS S.V. Project: Management techniques for optimization of suppression and minimization of wildfire effects, System validation, edited by: European Comission, Contract Number ENV4-CT98-0716, 1999.
Rasul, G. and Thapa, G. B.: Shifting cultivation in the mountains of South and Southeast Asia: regional patterns and factors influencing the change, Land Degrad. Dev., 14, 495–508, https://doi.org/10.1002/ldr.570, 2003.
Riaño, D., Chuvieco, E., Salas, J., Palacios-Orueta, A., and Bastarrika, A.: Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems, Can. J. Forest Res., 32, 1301–1315, 2002.
Riaño, D., Chuvieco, E., Condés, S., González-Matesanz, J., and Ustin, S. L.: Generation of crown bulk density for Pinus sylvestris L. from lidar, Remote Sens. Environ., 92, 345–352, https://doi.org/10.1016/j.rse.2003.12.014, 2004.
Riccardi, C. L., Ottmar, R. D., Sandberg, D. V., Andreu, A., Elman, E., Kopper, K., and Long, J.: The fuelbed: a key element of the Fuel Characteristic Classification System, Can. J. Forest Res., 37, 2394–2412, https://doi.org/10.1139/x07-143, 2007.
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 feedback, Nat. Geosci., 8, 228–234, https://doi.org/10.1038/ngeo2352, 2015.
Rollins, M. G.: LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment, Int. J. Wildland Fire, 18, 235–249, 2009.
Rollins, M. G., Keane, R. E., and Parsons, R. A.: Mapping fuels and fire regimes using remote sensing, ecosystem simulation, and gradient modeling, Ecol. Appl., 1, 75–95, 2004.
Rothermel, R. C.: A mathematical model for predicting fire spread in wildland fuels, USDA Forest Service, Intermountain Forest and Range Experiment Station, Odgen, UT, Research Paper INT-115, 40 pp., 1972.
Rothermel, R. C.: How to predict the spread and intensity of forest and range fires, National Wildfire Coordinating Group, USDA Forest Service Intermountain Research Station, Boise, ID, INT-143, 166 pp., 1983.
Ruesch, A. and Gibbs, H. K.: New IPCC Tier-1 global biomass carbon map for the year 2000, Oak Ridge National Laboratory, Oak Ridge, Tennessee, 2008.
Running, S. W. and Hunt, R. J.: Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models, in: Scaling physiological processes. Leaf to globe, edited by: Roy, J., Ehleringer, J. R., and Field, C. B., Academic Press, Inc., San Diego, 141–158, 1993.
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M. A., Mitchard, E. T. A., Salas, W., Zutta, B. R., Buermann, W., Lewis, S. L., Hagen, S., Petrova, S., White, L., Silman, M., and Morel, A.: Benchmark map of forest carbon stocks in tropical regions across three continents, P. Natl. Acad. Sci. USA, 108, 9899–9904, https://doi.org/10.1073/pnas.1019576108, 2011.
Sacks, W. J., Deryng, D., Foley, J. A., and Ramankutty, N.: Crop planting dates: an analysis of global patterns, Global Ecol. Biogeogr., 19, 607–620, https://doi.org/10.1111/j.1466-8238.2010.00551.x, 2010.
San Miguel-Ayanz, J., Schulte, E., Schmuck, G., Camia, A., Strobl, P., Liberta, G., Giovando, C., Boca, R., Sedano, F., Kempeneers, P., McInerney, D., Withmore, C., Santos de Oliveira, S., Rodrigues, M., Durrant, T., Corti, P., Oehler, F., Vilar, L., and Amatulli, G.: Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS), in: Approaches to Managing Disaster – Assessing Hazards, Emergencies and Disaster Impacts, edited by: Tiefenbacher, J., InTech, 87–108, 2012.
Sandberg, D. V., Riccardi, C. L., and Schaaf, M. D.: Fire potential rating for wildland fuelbeds using the Fuel Characteristic Classification System, Can. J. Forest Res., 37, 2456–2463, https://doi.org/10.1139/x07-093, 2007.
Santoro, M., Beer, C., Cartus, O., Schmullius, C., Shvidenko, A., McCallum, I., Wegmüller, U., and Weismann, A.: Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements, Remote Sens. Environ., 115, 490–507, 2011.
Schultz, M. G., Heil, A., Hoelzemann, J. J., Spessa, A., Thonicke, K., Goldammer, J. G., Held, A. C., Pereira, J. M. C., and van het Bolscher, M.: Global wildland fire emissions from 1960 to 2000, Global Biogeochem. Cy., 22, GB2002, https://doi.org/10.1029/2007GB003031, 2008.
Scott, J. H. and Burgan, R. E.: Standard fire behavior fuel models: a comprehensive set for use with Rothermel's Surface Fire Spread Model, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, RMRS-GTR-153, 80 pp., 2005.
Sebastián-Lopez, A., San Miguel-Ayanz, J., and Libertá, G.: An integrated forest fire risk index for Europe, in: A decade of trans-european remote sensing cooperation, edited by: Buchroithner, M. F., Balkema, Rotterdam, 83–88, 2001.
Shea, R. W., Shea, B. W., Kauffman, J. B., Ward, D. E., Haskins, C. I., and Scholes, M. C.: Fuel biomass and combustion factors associated with fires in savanna ecosystems of South Africa and Zambia, J. Geophys. Res., 101, 23551–23568, 1996.
Simard, M., Pinto, N., Fisher, J. B., and Baccini, A.: Mapping forest canopy height globally with spaceborne lidar, J. Geophys. Res., 116, G04021, https://doi.org/10.1029/2011JG001708, 2011.
Song, X.-P., Huang, C., Feng, M., Sexton, J. O., Channan, S., and Townsend, J. R.: Integrating global land cover products for improved forest cover characterization: an application in North America, International Journal of Digital Earth, 7, 709–724, https://doi.org/10.1080/17538947.2013.856959, 2014.
Stocks, B. J., Lawson, B. D., Alexander, M. E., Van Wagner, C. E., McAlpine, R. S., Lynham, T. J., and Dubé, D. E.: Canadian Forest Fire Danger Rating System: an overview, Forestry Chron., 65, 258–265, 1989.
Thurner, M., Beer, C., Santoro, M., Carvalhais, N., Wutzler, T., Schepaschenko, D., Shvidenko, A., Kompter, E., Ahrens, B., Levick, S. R., and Schmullius, C.: Carbon stock and density of northern boreal temperate forests, Global Ecol. Biogeogr., 23, 297–310, https://doi.org/10.1111/geb.12125, 2014.
Townshend, J., Hansen, M., Carroll, M., DiMiceli, C., Sohlberg, R., and Huang, C.: User Guide for the MODIS Vegetation Continuous Fields product Collection 5 version 1, University of Maryland, Maryland, 12 pp., 2011.
Walker, S., Wilson, J. B., Steel, J. B., Rapson, G. L., Smith, B., King, W. M., and Cottam, Y. H.: Properties of ecotones: Evidence from five ecotones objectively determined from a coastal vegetation gradient, J. Veg. Sci., 14, 579–590, https://doi.org/10.1111/j.1654-1103.2003.tb02185.x, 2003.
You, L., Wood, S., and Sebastian, K.: Comparing and synthesizing different global agricultural land datasets for crop allocation modeling, XXIst ISPRS Congress Technical Comission VII, Beijing, China, 1433–1440, 2008.
Yu, Z., Loisel, J., Brosseau, D. P., Beilman, D. W., and Hunt, S. J.: Global peatland dynamics since the Last Glacier Maximum, Geophys. Res. Lett., 37, L13402, https://doi.org/10.1029/2010GL043584, 2010.
Yue, C., Ciais, P., Cadule, P., Thonicke, K., and van Leeuwen, T. T.: Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance, Geosci. Model Dev., 8, 1321–1338, https://doi.org/10.5194/gmd-8-1321-2015, 2015.
Short summary
This paper presents the first global fuel data set, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). It was developed from different spatial variables, both based on satellite Earth Observation products and fuel databases.
This data set could be used for different applications, including fire danger assessment, fire behavior estimations, fuel consumption calculations and emissions inventories.
This paper presents the first global fuel data set, containing all the parameters required to be...
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