Articles | Volume 18, issue 9
https://doi.org/10.5194/bg-18-2957-2021
© Author(s) 2021. 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-18-2957-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2021
Research article |
| 17 May 2021
| 17 May 2021
Climate change and elevated CO2 favor forest over savanna under different future scenarios in South Asia
Dushyant Kumar
CORRESPONDING AUTHOR
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
Mirjam Pfeiffer
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
Camille Gaillard
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
Liam Langan
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
Simon Scheiter
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
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Biogeosciences, 17, 5829–5847, https://doi.org/10.5194/bg-17-5829-2020, https://doi.org/10.5194/bg-17-5829-2020, 2020
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Lags caused by delayed vegetation response to changing environmental conditions can lead to disequilibrium vegetation states. Awareness of this issue is relevant for ecosystem conservation. We used the aDGVM vegetation model to quantify the difference between transient and equilibrium vegetation states in Africa during the 21st century for two potential climate trajectories. Lag times increased over time and vegetation was non-analog to any equilibrium state due to multi-lag composite states.
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Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
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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.
Angelica Feurdean, Andrei-Cosmin Diaconu, Mirjam Pfeiffer, Mariusz Gałka, Simon M. Hutchinson, Geanina Butiseaca, Natalia Gorina, Spassimir Tonkov, Aidin Niamir, Ioan Tantau, Hui Zhang, and Sergey Kirpotin
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We used palaeoecological records from peatlands in southern Siberia. We showed that warmer climate conditions have lowered the water level and increased the fuel amount and flammability, consequently also increasing the frequency and severity of fires as well as the composition of tree types.
Mirjam Pfeiffer, Dushyant Kumar, Carola Martens, and Simon Scheiter
Biogeosciences, 17, 5829–5847, https://doi.org/10.5194/bg-17-5829-2020, https://doi.org/10.5194/bg-17-5829-2020, 2020
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Publication in BG not foreseen
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Arsène Druel, Julien Ruffault, Hendrik Davi, André Chanzy, Olivier Marloie, Miquel De Cáceres, Florent Mouillot, Christophe François, Kamel Soudani, and Nicolas K. Martin-StPaul
EGUsphere, https://doi.org/10.5194/egusphere-2024-1800, https://doi.org/10.5194/egusphere-2024-1800, 2024
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Mery Ingrid Guimarães de Alencar, Rafael D. Guariento, Bertrand Guenet, Luciana S. Carneiro, Eduardo L. Voigt, and Adriano Caliman
Biogeosciences, 21, 3165–3182, https://doi.org/10.5194/bg-21-3165-2024, https://doi.org/10.5194/bg-21-3165-2024, 2024
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Flowers are ephemeral organs for reproduction, and their litter is functionally different from leaf litter. Flowers can affect decomposition and interact with leaf litter, influencing decomposition non-additively. We show that mixing flower and leaf litter from the Tabebuia aurea tree creates reciprocal synergistic effects on decomposition in both terrestrial and aquatic environments. We highlight that flower litter input can generate biogeochemical hotspots in terrestrial ecosystems.
Salim Soltani, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, and Teja Kattenborn
Biogeosciences, 21, 2909–2935, https://doi.org/10.5194/bg-21-2909-2024, https://doi.org/10.5194/bg-21-2909-2024, 2024
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In this research, we developed a novel method using citizen science data as alternative training data for computer vision models to map plant species in unoccupied aerial vehicle (UAV) images. We use citizen science plant photographs to train models and apply them to UAV images. We tested our approach on UAV images of a test site with 10 different tree species, yielding accurate results. This research shows the potential of citizen science data to advance our ability to monitor plant species.
Xue Feng, Ruzhen Wang, Tianpeng Li, Jiangping Cai, Heyong Liu, Hui Li, and Yong Jiang
Biogeosciences, 21, 2641–2653, https://doi.org/10.5194/bg-21-2641-2024, https://doi.org/10.5194/bg-21-2641-2024, 2024
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Plant functional traits have been considered as reflecting adaptations to environmental variations, indirectly affecting ecosystem productivity. How soil acidification affects above- and belowground biomass by altering leaf and root traits remains poorly understood. We found divergent trait responses driven by soil environmental conditions in two dominant species, resulting in a decrease in aboveground biomass and an increase in belowground biomass.
Minhua Zhang, Xiaoqing Hu, and Fangliang He
Biogeosciences, 21, 2133–2142, https://doi.org/10.5194/bg-21-2133-2024, https://doi.org/10.5194/bg-21-2133-2024, 2024
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Plant sexual systems are important to understanding the evolution and maintenance of plant diversity. We quantified region effects on their proportions while incorporating local climate factors and evolutionary history. We found regional processes and climate effects both play important roles in shaping the geographic distribution of sexual systems, providing a baseline for predicting future changes in forest communities in the context of global change.
Christian H. Mohr, Michael Dietze, Violeta Tolorza, Erwin Gonzalez, Benjamin Sotomayor, Andres Iroume, Sten Gilfert, and Frieder Tautz
Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
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Coastal temperate rainforests, among Earth’s carbon richest biomes, are systematically underrepresented in the global network of critical zone observatories (CZOs). Introducing here a first CZO in the heart of the Patagonian rainforest, Chile, we investigate carbon sink functioning, biota-driven landscape evolution, fluxes of matter and energy, and disturbance regimes. We invite the community to join us in cross-disciplinary collaboration to advance science in this particular environment.
Jorge F. Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L. Celis-Diez, and Juan J. Armesto
Biogeosciences, 21, 1371–1389, https://doi.org/10.5194/bg-21-1371-2024, https://doi.org/10.5194/bg-21-1371-2024, 2024
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For 8 years we sampled a temperate rainforest and a peatland in Chile to estimate their efficiency to capture carbon per unit of water lost. The efficiency is more related to the water lost than to the carbon captured and is mainly driven by evaporation instead of transpiration. This is the first report from southern South America and highlights that ecosystems might behave differently in this area, likely explained by the high annual precipitation (~ 2100 mm) and light-limited conditions.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Florian Zellweger, Eric Sulmoni, Johanna T. Malle, Andri Baltensweiler, Tobias Jonas, Niklaus E. Zimmermann, Christian Ginzler, Dirk Nikolaus Karger, Pieter De Frenne, David Frey, and Clare Webster
Biogeosciences, 21, 605–623, https://doi.org/10.5194/bg-21-605-2024, https://doi.org/10.5194/bg-21-605-2024, 2024
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The microclimatic conditions experienced by organisms living close to the ground are not well represented in currently used climate datasets derived from weather stations. Therefore, we measured and mapped ground microclimate temperatures at 10 m spatial resolution across Switzerland using a novel radiation model. Our results reveal a high variability in microclimates across different habitats and will help to better understand climate and land use impacts on biodiversity and ecosystems.
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin De Kauwe, Sam Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony Walker, Xiaoni Wang-Faivre, Yunfei Wang, and Yijian Zeng
EGUsphere, https://doi.org/10.5194/egusphere-2023-3084, https://doi.org/10.5194/egusphere-2023-3084, 2024
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This paper evaluates land models – computer based models that simulate ecosystem dynamics, the land carbon, water and energy cycles and the role of land in the climate system. It uses machine learning / AI approaches to show that despite the complexity of land models, they do not perform nearly as well as they could, given the amount of information they are provided with about the prediction problem.
Andrew Kulmatiski, Martin C. Holdrege, Cristina Chirvasă, and Karen H. Beard
Biogeosciences, 21, 131–143, https://doi.org/10.5194/bg-21-131-2024, https://doi.org/10.5194/bg-21-131-2024, 2024
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Warmer air and larger precipitation events are changing the way water moves through the soil and into plants. Here we show that detailed descriptions of root distributions can predict plant growth responses to changing precipitation patterns. Shrubs and forbs increased growth, while grasses showed no response to increased precipitation intensity, and these responses were predicted by plant rooting distributions.
Bonaventure Ntirugulirwa, Etienne Zibera, Nkuba Epaphrodite, Aloysie Manishimwe, Donat Nsabimana, Johan Uddling, and Göran Wallin
Biogeosciences, 20, 5125–5149, https://doi.org/10.5194/bg-20-5125-2023, https://doi.org/10.5194/bg-20-5125-2023, 2023
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Twenty tropical tree species native to Africa were planted along an elevation gradient (1100 m, 5.4 °C difference). We found that early-successional (ES) species, especially from lower elevations, grew faster at warmer sites, while several of the late-successional (LS) species, especially from higher elevations, did not respond or grew slower. Moreover, a warmer climate increased tree mortality in LS species, but not much in ES species.
Lilian Vallet, Charbel Abdallah, Thomas Lauvaux, Lilian Joly, Michel Ramonet, Philippe Ciais, Morgan Lopez, Irène Xueref-Remy, and Florent Mouillot
EGUsphere, https://doi.org/10.5194/egusphere-2023-2421, https://doi.org/10.5194/egusphere-2023-2421, 2023
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2022 fire season had a huge impact on European temperate forest, with several large fires exhibiting prolonged soil combustion reported. We analyzed CO and CO2 concentration recorded at nearby atmospheric towers, revealing intense smoldering combustion. We refined a fire emission model to incorporate this process. We estimated 7.95 MteqCO2 fire emission, twice the global estimate. Fires contributed to 1.97 % of the country's annual carbon footprint, reducing forest carbon sink by 30 % this year.
Philippe Choler
Biogeosciences, 20, 4259–4272, https://doi.org/10.5194/bg-20-4259-2023, https://doi.org/10.5194/bg-20-4259-2023, 2023
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The year 2022 was unique in that the summer heat wave and drought led to a widespread reduction in vegetation growth at high elevation in the European Alps. This impact was unprecedented in the southwestern, warm, and dry part of the Alps. Over the last 2 decades, water has become a co-dominant control of vegetation activity in areas that were, so far, primarily controlled by temperature, and the growth of mountain grasslands has become increasingly sensitive to moisture availability.
Adriana Simonetti, Raquel Fernandes Araujo, Carlos Henrique Souza Celes, Flávia Ranara da Silva e Silva, Joaquim dos Santos, Niro Higuchi, Susan Trumbore, and Daniel Magnabosco Marra
Biogeosciences, 20, 3651–3666, https://doi.org/10.5194/bg-20-3651-2023, https://doi.org/10.5194/bg-20-3651-2023, 2023
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We combined 2 years of monthly drone-acquired RGB (red–green–blue) imagery with field surveys in a central Amazon forest. Our results indicate that small gaps associated with branch fall were the most frequent. Biomass losses were partially controlled by gap area, with branch fall and snapping contributing the least and greatest relative values, respectively. Our study highlights the potential of drone images for monitoring canopy dynamics in dense tropical forests.
Silvia Caldararu, Victor Rolo, Benjamin D. Stocker, Teresa E. Gimeno, and Richard Nair
Biogeosciences, 20, 3637–3649, https://doi.org/10.5194/bg-20-3637-2023, https://doi.org/10.5194/bg-20-3637-2023, 2023
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Ecosystem manipulative experiments are large experiments in real ecosystems. They include processes such as species interactions and weather that would be omitted in more controlled settings. They offer a high level of realism but are underused in combination with vegetation models used to predict the response of ecosystems to global change. We propose a workflow using models and ecosystem experiments together, taking advantage of the benefits of both tools for Earth system understanding.
Katharina Ramskogler, Bettina Knoflach, Bernhard Elsner, Brigitta Erschbamer, Florian Haas, Tobias Heckmann, Florentin Hofmeister, Livia Piermattei, Camillo Ressl, Svenja Trautmann, Michael H. Wimmer, Clemens Geitner, Johann Stötter, and Erich Tasser
Biogeosciences, 20, 2919–2939, https://doi.org/10.5194/bg-20-2919-2023, https://doi.org/10.5194/bg-20-2919-2023, 2023
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Primary succession in proglacial areas depends on complex driving forces. To concretise the complex effects and interaction processes, 39 known explanatory variables assigned to seven spheres were analysed via principal component analysis and generalised additive models. Key results show that in addition to time- and elevation-dependent factors, also disturbances alter vegetation development. The results are useful for debates on vegetation development in a warming climate.
Zijing Li, Zhiyong Li, Xuze Tong, Lei Dong, Ying Zheng, Jinghui Zhang, Bailing Miao, Lixin Wang, Liqing Zhao, Lu Wen, Guodong Han, Frank Yonghong Li, and Cunzhu Liang
Biogeosciences, 20, 2869–2882, https://doi.org/10.5194/bg-20-2869-2023, https://doi.org/10.5194/bg-20-2869-2023, 2023
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We used random forest models and structural equation models to assess the relative importance of the present climate and paleoclimate as determinants of diversity and aboveground biomass. Results showed that paleoclimate changes and modern climate jointly determined contemporary biodiversity patterns, while community biomass was mainly affected by modern climate. These findings suggest that contemporary biodiversity patterns may be affected by processes at divergent temporal scales.
William Rupert Moore Flynn, Harry Jon Foord Owen, Stuart William David Grieve, and Emily Rebecca Lines
Biogeosciences, 20, 2769–2784, https://doi.org/10.5194/bg-20-2769-2023, https://doi.org/10.5194/bg-20-2769-2023, 2023
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Quantifying vegetation indices is crucial for ecosystem monitoring and modelling. Terrestrial laser scanning (TLS) has potential to accurately measure vegetation indices, but multiple methods exist, with little consensus on best practice. We compare three methods and extract wood-to-plant ratio, a metric used to correct for wood in leaf indices. We show corrective metrics vary with tree structure and variation among methods, highlighting the value of TLS data and importance of rigorous testing.
Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 20, 2727–2741, https://doi.org/10.5194/bg-20-2727-2023, https://doi.org/10.5194/bg-20-2727-2023, 2023
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In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
Josué Delgado-Balbuena, Henry W. Loescher, Carlos A. Aguirre-Gutiérrez, Teresa Alfaro-Reyna, Luis F. Pineda-Martínez, Rodrigo Vargas, and Tulio Arredondo
Biogeosciences, 20, 2369–2385, https://doi.org/10.5194/bg-20-2369-2023, https://doi.org/10.5194/bg-20-2369-2023, 2023
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In the semiarid grassland, an increase in soil moisture at shallow depths instantly enhances carbon release through respiration. In contrast, deeper soil water controls plant carbon uptake but with a delay of several days. Previous soil conditions, biological activity, and the size and timing of precipitation are factors that determine the amount of carbon released into the atmosphere. Thus, future changes in precipitation patterns could convert ecosystems from carbon sinks to carbon sources.
German Vargas Gutiérrez, Daniel Pérez-Aviles, Nanette Raczka, Damaris Pereira-Arias, Julián Tijerín-Triviño, L. David Pereira-Arias, David Medvigy, Bonnie G. Waring, Ember Morrisey, Edward Brzostek, and Jennifer S. Powers
Biogeosciences, 20, 2143–2160, https://doi.org/10.5194/bg-20-2143-2023, https://doi.org/10.5194/bg-20-2143-2023, 2023
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To study whether nutrient availability controls tropical dry forest responses to reductions in soil moisture, we established the first troughfall exclusion experiment in a tropical dry forest plantation system crossed with a fertilization scheme. We found that the effects of fertilization on net primary productivity are larger than the effects of a ~15 % reduction in soil moisture, although in many cases we observed an interaction between drought and nutrient additions, suggesting colimitation.
Alina Lucia Ludat and Simon Kübler
Biogeosciences, 20, 1991–2012, https://doi.org/10.5194/bg-20-1991-2023, https://doi.org/10.5194/bg-20-1991-2023, 2023
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Satellite-based analysis illustrates the impact of geological processes for the stability of the ecosystem in the Mara River basin (Kenya/Tanzania). Newly detected fault activity influences the course of river networks and modifies erosion–deposition patterns. Tectonic surface features and variations in rock chemistry lead to localized enhancement of clay and soil moisture values and seasonally stabilised vegetation growth patterns in this climatically vulnerable region.
Erica Jaakkola, Antje Gärtner, Anna Maria Jönsson, Karl Ljung, Per-Ola Olsson, and Thomas Holst
Biogeosciences, 20, 803–826, https://doi.org/10.5194/bg-20-803-2023, https://doi.org/10.5194/bg-20-803-2023, 2023
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Increased spruce bark beetle outbreaks were recently seen in Sweden. When Norway spruce trees are attacked, they increase their production of VOCs, attempting to kill the beetles. We provide new insights into how the Norway spruce act when infested and found the emitted volatiles to increase up to 700 times and saw a change in compound blend. We estimate that the 2020 bark beetle outbreak in Sweden could have increased the total monoterpene emissions from the forest by more than 10 %.
Georg Wohlfahrt, Albin Hammerle, Felix M. Spielmann, Florian Kitz, and Chuixiang Yi
Biogeosciences, 20, 589–596, https://doi.org/10.5194/bg-20-589-2023, https://doi.org/10.5194/bg-20-589-2023, 2023
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The trace gas carbonyl sulfide (COS), which is taken up by plant leaves in a process very similar to photosynthesis, is thought to be a promising proxy for the gross uptake of carbon dioxide by plants. Here we propose a new framework for estimating a key metric to that end, the so-called leaf relative uptake rate. The values we deduce by applying principles of plant optimality are considerably lower than published values and may help reduce the uncertainty of the global COS budget.
François Jonard, Andrew F. Feldman, Daniel J. Short Gianotti, and Dara Entekhabi
Biogeosciences, 19, 5575–5590, https://doi.org/10.5194/bg-19-5575-2022, https://doi.org/10.5194/bg-19-5575-2022, 2022
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We investigate the spatial and temporal patterns of light and water limitation in plant function at the ecosystem scale. Using satellite observations, we characterize the nonlinear relationships between sun-induced chlorophyll fluorescence (SIF) and water and light availability. This study highlights that soil moisture limitations on SIF are found primarily in drier environments, while light limitations are found in intermediately wet regions.
Nikolai Knapp, Sabine Attinger, and Andreas Huth
Biogeosciences, 19, 4929–4944, https://doi.org/10.5194/bg-19-4929-2022, https://doi.org/10.5194/bg-19-4929-2022, 2022
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The biomass of forests is determined by forest growth and mortality. These quantities can be estimated with different methods such as inventories, remote sensing and modeling. These methods are usually being applied at different spatial scales. The scales influence the obtained frequency distributions of biomass, growth and mortality. This study suggests how to transfer between scales, when using forest models of different complexity for a tropical forest.
Kai Chen, Kevin S. Burgess, Fangliang He, Xiang-Yun Yang, Lian-Ming Gao, and De-Zhu Li
Biogeosciences, 19, 4801–4810, https://doi.org/10.5194/bg-19-4801-2022, https://doi.org/10.5194/bg-19-4801-2022, 2022
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Why does plants' distributional range size vary enormously? This study provides evidence that seed mass, intraspecific seed mass variation, seed dispersal mode and phylogeny contribute to explaining species distribution variation on a geographic scale. Our study clearly shows the importance of including seed life-history traits in modeling and predicting the impact of climate change on species distribution of seed plants.
Ying Ying Chen, Huan Yang, Gen Sheng Bao, Xiao Pan Pang, and Zheng Gang Guo
Biogeosciences, 19, 4521–4532, https://doi.org/10.5194/bg-19-4521-2022, https://doi.org/10.5194/bg-19-4521-2022, 2022
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Investigating the effect of the presence of plateau pikas on ecosystem services of alpine meadows is helpful to understand the role of the presence of small mammalian herbivores in grasslands. The results of this study showed that the presence of plateau pikas led to higher biodiversity conservation, soil nitrogen and phosphorus maintenance, and carbon sequestration of alpine meadows, whereas it led to lower forage available to livestock and water conservation of alpine meadows.
Clement Jean Frédéric Delcourt and Sander Veraverbeke
Biogeosciences, 19, 4499–4520, https://doi.org/10.5194/bg-19-4499-2022, https://doi.org/10.5194/bg-19-4499-2022, 2022
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This study provides new equations that can be used to estimate aboveground tree biomass in larch-dominated forests of northeast Siberia. Applying these equations to 53 forest stands in the Republic of Sakha (Russia) resulted in significantly larger biomass stocks than when using existing equations. The data presented in this work can help refine biomass estimates in Siberian boreal forests. This is essential to assess changes in boreal vegetation and carbon dynamics.
Iris Johanna Aalto, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka
Biogeosciences, 19, 4227–4247, https://doi.org/10.5194/bg-19-4227-2022, https://doi.org/10.5194/bg-19-4227-2022, 2022
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Tree canopies are strong moderators of understory climatic conditions. In tropical areas, trees cool down the microclimates. Using remote sensing and field measurements we show how even intermediate canopy cover and agroforestry trees contributed to buffering the hottest temperatures in Kenya. The cooling effect was the greatest during hot days and in lowland areas, where the ambient temperatures were high. Adopting agroforestry practices in the area could assist in mitigating climate change.
Jing Wang and Xuefa Wen
Biogeosciences, 19, 4197–4208, https://doi.org/10.5194/bg-19-4197-2022, https://doi.org/10.5194/bg-19-4197-2022, 2022
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Excess radiation and low temperatures exacerbate drought impacts on canopy conductance (Gs) among transects. The primary determinant of drought stress on Gs was soil moisture on the Loess Plateau (LP) and the Mongolian Plateau (MP), whereas it was the vapor pressure deficit on the Tibetan Plateau (TP). Radiation exhibited a negative effect on Gs via drought stress within transects, while temperature had negative effects on stomatal conductance on the TP but no effect on the LP and MP.
Sylvain Monteux, Janine Mariën, and Eveline J. Krab
Biogeosciences, 19, 4089–4105, https://doi.org/10.5194/bg-19-4089-2022, https://doi.org/10.5194/bg-19-4089-2022, 2022
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Quantifying the feedback from the decomposition of thawing permafrost soils is crucial to establish adequate climate warming mitigation scenarios. Past efforts have focused on abiotic and to some extent microbial drivers of decomposition but not biotic drivers such as soil fauna. We added soil fauna (Collembola Folsomia candida) to permafrost, which introduced bacterial taxa without affecting bacterial communities as a whole but increased CO2 production (+12 %), presumably due to priming.
Mirjam Pfeiffer, Munir P. Hoffmann, Simon Scheiter, William Nelson, Johannes Isselstein, Kingsley Ayisi, Jude J. Odhiambo, and Reimund Rötter
Biogeosciences, 19, 3935–3958, https://doi.org/10.5194/bg-19-3935-2022, https://doi.org/10.5194/bg-19-3935-2022, 2022
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Smallholder farmers face challenges due to poor land management and climate change. We linked the APSIM crop model and the aDGVM2 vegetation model to investigate integrated management options that enhance ecosystem functions and services. Sustainable intensification moderately increased yields. Crop residue grazing reduced feed gaps but not for dry-to-wet season transitions. Measures to improve soil water and nutrient status are recommended. Landscape-level ecosystem management is essential.
Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, and Yadvinder Malhi
Biogeosciences, 19, 3649–3661, https://doi.org/10.5194/bg-19-3649-2022, https://doi.org/10.5194/bg-19-3649-2022, 2022
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We investigated dynamic nutrient flow and demand in a typical savanna and a transition forest to understand how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Savanna relied on nutrient resorption from wood, and nutrient demand was equally partitioned between leaves, wood and fine roots. Transition forest relied on resorption from the canopy biomass and nutrient demand was predominantly driven by leaves.
Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr
Biogeosciences, 19, 3317–3336, https://doi.org/10.5194/bg-19-3317-2022, https://doi.org/10.5194/bg-19-3317-2022, 2022
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Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
Chen Yang, Yue Shi, Wenjuan Sun, Jiangling Zhu, Chengjun Ji, Yuhao Feng, Suhui Ma, Zhaodi Guo, and Jingyun Fang
Biogeosciences, 19, 2989–2999, https://doi.org/10.5194/bg-19-2989-2022, https://doi.org/10.5194/bg-19-2989-2022, 2022
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Quantifying China's forest biomass C pool is important in understanding C cycling in forests. However, most of studies on forest biomass C pool were limited to the period of 2004–2008. Here, we used a biomass expansion factor method to estimate C pool from 1977 to 2018. The results suggest that afforestation practices, forest growth, and environmental changes were the main drivers of increased C sink. Thus, this study provided an essential basis for achieving China's C neutrality target.
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger, and Ralf Kiese
Biogeosciences, 19, 2699–2727, https://doi.org/10.5194/bg-19-2699-2022, https://doi.org/10.5194/bg-19-2699-2022, 2022
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Actual maps of grassland traits could improve local farm management and support environmental assessments. We developed, assessed, and applied models to estimate dry biomass and plant nitrogen (N) concentration in pre-Alpine grasslands with drone-based multispectral data and canopy height information. Our results indicate that machine learning algorithms are able to estimate both parameters but reach a better level of performance for biomass.
Ramona J. Heim, Andrey Yurtaev, Anna Bucharova, Wieland Heim, Valeriya Kutskir, Klaus-Holger Knorr, Christian Lampei, Alexandr Pechkin, Dora Schilling, Farid Sulkarnaev, and Norbert Hölzel
Biogeosciences, 19, 2729–2740, https://doi.org/10.5194/bg-19-2729-2022, https://doi.org/10.5194/bg-19-2729-2022, 2022
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Fires will probably increase in Arctic regions due to climate change. Yet, the long-term effects of tundra fires on carbon (C) and nitrogen (N) stocks and cycling are still unclear. We investigated the long-term fire effects on C and N stocks and cycling in soil and aboveground living biomass.
We found that tundra fires did not affect total C and N stocks because a major part of the stocks was located belowground in soils which were largely unaltered by fire.
Aileen B. Baird, Edward J. Bannister, A. Robert MacKenzie, and Francis D. Pope
Biogeosciences, 19, 2653–2669, https://doi.org/10.5194/bg-19-2653-2022, https://doi.org/10.5194/bg-19-2653-2022, 2022
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Forest environments contain a wide variety of airborne biological particles (bioaerosols) important for plant and animal health and biosphere–atmosphere interactions. Using low-cost sensors and a free-air carbon dioxide enrichment (FACE) experiment, we monitor the impact of enhanced CO2 on airborne particles. No effect of the enhanced CO2 treatment on total particle concentrations was observed, but a potential suppression of high concentration bioaerosol events was detected under enhanced CO2.
Melanie S. Verlinden, Hamada AbdElgawad, Arne Ven, Lore T. Verryckt, Sebastian Wieneke, Ivan A. Janssens, and Sara Vicca
Biogeosciences, 19, 2353–2364, https://doi.org/10.5194/bg-19-2353-2022, https://doi.org/10.5194/bg-19-2353-2022, 2022
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Zea mays grows in mesocosms with different soil nutrition levels. At low phosphorus (P) availability, leaf physiological activity initially decreased strongly. P stress decreased over the season. Arbuscular mycorrhizal fungi (AMF) symbiosis increased over the season. AMF symbiosis is most likely responsible for gradual reduction in P stress.
Guoyu Lan, Bangqian Chen, Chuan Yang, Rui Sun, Zhixiang Wu, and Xicai Zhang
Biogeosciences, 19, 1995–2005, https://doi.org/10.5194/bg-19-1995-2022, https://doi.org/10.5194/bg-19-1995-2022, 2022
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Little is known about the impact of rubber plantations on diversity of the Great Mekong Subregion. In this study, we uncovered latitudinal gradients of plant diversity of rubber plantations. Exotic species with high dominance result in loss of plant diversity of rubber plantations. Not all exotic species would reduce plant diversity of rubber plantations. Much more effort should be made to balance agricultural production with conservation goals in this region.
Ulrike Hiltner, Andreas Huth, and Rico Fischer
Biogeosciences, 19, 1891–1911, https://doi.org/10.5194/bg-19-1891-2022, https://doi.org/10.5194/bg-19-1891-2022, 2022
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Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
Biogeosciences, 19, 1913–1932, https://doi.org/10.5194/bg-19-1913-2022, https://doi.org/10.5194/bg-19-1913-2022, 2022
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Although vegetation responds to climate at a wide range of timescales, models of the land carbon sink often ignore responses that do not occur instantly. In this study, we explore the timescales at which Australian ecosystems respond to climate. We identified that carbon and water fluxes can be modelled more accurately if we include environmental drivers from up to a year in the past. The importance of antecedent conditions is related to ecosystem aridity but is also influenced by other factors.
Qing Sun, Valentin H. Klaus, Raphaël Wittwer, Yujie Liu, Marcel G. A. van der Heijden, Anna K. Gilgen, and Nina Buchmann
Biogeosciences, 19, 1853–1869, https://doi.org/10.5194/bg-19-1853-2022, https://doi.org/10.5194/bg-19-1853-2022, 2022
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Drought is one of the biggest challenges for future food production globally. During a simulated drought, pea and barley mainly relied on water from shallow soil depths, independent of different cropping systems.
Cited articles
Acharya, B. S., Kharel, G., Zou, C. B., Wilcox, B. P., and Halihan, T.: Woody
plant encroachment impacts on groundwater recharge: A review, Water, 10,
1466, https://doi.org/10.3390/w10101466, 2018. a
Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., Church, J. A., Clarke, L., Dahe, Q., Dasgupta, P., and Dubash, N. K.: IPCC fifth assessment synthesis report-climate change 2014 synthesis report, Intergovernmental Panel on Climate Change, Geneva, Switzerland, 2014. a
Archer, S. R., Andersen, E. M., Predick, K. I., Schwinning, S., Steidl, R. J., and Woods, S. R.: Woody plant encroachment: causes and consequences, in: Rangeland systems, Springer, Cham, Switzerland, 25–84,
https://doi.org/10.1007/978-3-319-46709-2_2, 2017. a
Bednarz, S. T., Dybala, T., Muttiah, R. S., Rosenthal, W., and Dugas, W. A.:
Brush/water yield feasibility studies, Blackland Research Center, Temple,
Texas, USA, 2001. a
Bera, S. K., Basumatary, S. K., Agarwal, A., and Ahmed, M.: Conversion of
forest land in Garo Hills, Meghalaya for construction of roads: A
threat to the environment and biodiversity, Curr. Sci. India, 91, 281–284, 2006. a
Boulangeat, I., Philippe, P., Abdulhak, S., Douzet, R., Garraud, L., Lavergne, S., Lavorel, S., Van Es, J., Vittoz, P., and Thuiller, W.: Improving plant functional groups for dynamic models of biodiversity: at the crossroads between functional and community ecology, Global Change Biol., 18, 3464–3475, https://doi.org/10.1111/j.1365-2486.2012.02783.x, 2012. a
Brienen, R. J., Phillips, O. L., Feldpausch, T. R., Gloor, E., Baker, T. R.,
Lloyd, J., Lopez-Gonzalez, G., Monteagudo-Mendoza, A., Malhi, Y., and Lewis,
S. L.: Long-term decline of the Amazon carbon sink, Nature, 519, 344–348, 2015. a
Brodie, J. F., Aslan, C. E., Rogers, H. S., Redford, K. H., Maron, J. L.,
Bronstein, J. L., and Groves, C. R.: Secondary extinctions of biodiversity,
Trends Ecol. Evol., 29, 664–672,
https://doi.org/10.1016/j.tree.2014.09.012, 2014. a
Buitenwerf, R., Rose, L., and Higgins, S. I.: Three decades of
multi-dimensional change in global leaf phenology, Nat. Clim. Change, 5,
364–368, https://doi.org/10.1038/nclimate2533, 2015. a
Cao, L., Bala, G., Caldeira, K., Nemani, R., and Ban-Weiss, G.: Importance of
carbon dioxide physiological forcing to future climate change, P. Natl. Acad. Sci. USA, 107, 9513–9518, https://doi.org/10.1073/pnas.0913000107, 2010. a
Chapin, F. S., Walker, B. H., Hobbs, R. J., Hooper, D. U., Lawton, J. H., Sala, O. E., and Tilman, D.: Biotic control over the functioning of ecosystems, Science, 277, 500–504, https://doi.org/10.1126/science.277.5325.500, 1997. a
Chaturvedi, R. K., Gopalakrishnan, R., Jayaraman, M., Bala, G., Joshi, N. V.,
Sukumar, R., and Ravindranath, N. H.: Impact of climate change on Indian
forests: a dynamic vegetation modeling approach, Mitig. Adapt. Strat. Gl., 16, 119–142, https://doi.org/10.1007/s11027-010-9257-7, 2011. a, b
Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B., and Thomas, C. D.: Rapid range shifts of species associated with high levels of climate warming,
Science, 333, 1024–1026, https://doi.org/10.1126/science.1206432, 2011. a
Choat, B., Brodribb, T. J., Brodersen, C. R., Duursma, R. A., López, R.,
and Medlyn, B. E.: Triggers of tree mortality under drought, Nature, 558,
531–539, https://doi.org/10.1038/s41586-018-0240-x, 2018. a
Choudhury, B. J., DiGirolamo, N. E., Susskind, J., Darnell, W. L., Gupta,
S. K., and Asrar, G.: A biophysical process-based estimate of global land
surface evaporation using satellite and ancillary data II, Regional and
global patterns of seasonal and annual variations, J. Hydrol., 205,
186–204, https://doi.org/10.1016/s0022-1694(97)00149-2, 1998. a
Cleland, E. E., Chuine, I., Menzel, A., Mooney, H. A., and Schwartz, M. D.:
Shifting plant phenology in response to global change, Trends Ecol. Evol., 22, 357–365, https://doi.org/10.1016/j.tree.2007.04.003, 2007. a
Collatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A.: Physiological and
environmental regulation of stomatal conductance, photosynthesis and
transpiration: a model that includes a laminar boundary layer, Agr. Forest Meteorol., 54, 107–136, https://doi.org/10.1016/0168-1923(91)90002-8, 1991. a
Collatz, G. J., Ribas-Carbo, M., and Berry, J. A.: Coupled
photosynthesis-stomatal conductance model for leaves of C4 plants,
Funct. Plant Biol., 19, 519–538, https://doi.org/10.1071/pp9920519, 1992. a, b, c
Deb, J., Phinn, S. R., Butt, N., and McAlpine, C. A.: Summary of climate change impacts on tree species distribution, phenology, forest structure and
composition for each of the 85 studies reviewed, The University of Queensland [Data Collection], https://doi.org/10.14264/uql.2017.814,
2017. a
Doherty, R. M., Sitch, S., Smith, B., Lewis, S. L., and Thornton, P. K.:
Implications of future climate and atmospheric CO2 content
for regional biogeochemistry, biogeography and ecosystem services across
East Africa, Global Change Biol., 16, 617–640,
https://doi.org/10.1111/j.1365-2486.2009.01997.x, 2010. a
Dormann, C. and Woodin, S. J.: Climate change in the Arctic: using plant
functional types in a meta-analysis of field experiments, Funct. Ecol.,
16, 4–17, https://doi.org/10.1046/j.0269-8463.2001.00596.x, 2002. a
Eckstein, D., Hutfils, M., and Winges, M.: Global climate risk index 2019:
Who suffers most from extreme weather events? Weather-related loss events
in 2017 and 1998 to 2017, Germanwatch, Bonn, Germany, 2018. a
Ehleringer, J. R. and Cerling, T. E.: C3 and C4 photosynthesis, Encyclopedia of Global Environmental Change, 2, 186–190, 2002. a
Farquhar, G. D., von Caemmerer, S. V., and Berry, J. A.: A biochemical model of photosynthetic CO2 assimilation in leaves of
C3 species, Planta, 149, 78–90, https://doi.org/10.1007/bf00386231, 1980. a
Fatichi, S., Leuzinger, S., and Körner, C.: Moving beyond photosynthesis: from carbon source to sink-driven vegetation modeling, New Phytol., 201,
1086–1095, https://doi.org/10.1111/nph.12614, 2014. a
Feng, H., Zou, B., and Luo, J.: Coverage-dependent amplifiers of vegetation
change on global water cycle dynamics, J. Hydrol., 550, 220–229,
https://doi.org/10.1016/j.jhydrol.2017.04.056, 2017. a
Field, C. B., Lobell, D. B., Peters, H. A., and Chiariello, N. R.: Feedbacks of terrestrial ecosystems to climate change, Annu. Rev. Env. Resour., 32,
1–29, https://doi.org/10.1146/annurev.energy.32.053006.141119, 2007. a
Fischlin, A., Midgley, G. F., Price, J. T., Leemans, R., Gopal, B., Turley,
C. M., Rounsevell, M. D. A., Dube, P., Tarazona, J., and Velichko, A.:
Impacts adaptation and vulnerability, in: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J., and Hanson, C. E., Cambridge University Press, Cambridge, UK, 391–431, 2007. a
Fisher, J. B., Whittaker, R. J., and Malhi, Y.: ET come home: potential
evapotranspiration in geographical ecology, Global Ecol. Biogeogr.,
20, 1–18, https://doi.org/10.1111/j.1466-8238.2010.00578.x, 2011. a
Forster, P., Ramaswamy, V., Artaxo, P., Berntsen, T., Betts, R., Fahey, D. W., Haywood, J., Lean, J., Lowe, D. C., Myhre, G., Nganga, J., Prinn, R., Raga, G., Schulz, M., and Van Dorland, R.: Changes in Atmospheric Constituents and in Radiative Forcing, in: Climate Change 2007:
The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate
Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, 2007. a
Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M. D.,
Smith, P., Van der Velde, M., Vicca, S., and Babst, F.: Effects of climate
extremes on the terrestrial carbon cycle: concepts, processes and potential
future impacts, Global Change Biol., 21, 2861–2880,
https://doi.org/10.1111/gcb.12916, 2015. a
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N.,
Sibley, A., and Huang, X.: MODIS Collection 5 global land cover:
Algorithm refinements and characterization of new datasets, Remote Sens. Environ., 114, 168–182, https://doi.org/10.1016/j.rse.2009.08.016, 2010. a, b
Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V.,
Cadule, P., Doney, S., Eby, M., and Fung, I.: Climate–carbon cycle feedback
analysis: results from the C4MIP model intercomparison,
J. Climate, 19, 3337–3353, https://doi.org/10.1175/jcli3800.1, 2006. a
Gaillard, C., Langan, L., Pfeiffer, M., Kumar, D., Martens, C., Higgins, S. I., and Scheiter, S.: African shrub distribution emerges via a trade‐off between height and sapwood conductivity, 45, 2815–2826, https://doi.org/10.1111/jbi.13447, 2018. a, b, c
Gallardo-Cruz, J. A., Pérez-García, E. A., and Meave, J. A.: β-Diversity and vegetation structure as influenced by slope aspect and altitude in a seasonally dry tropical landscape, Landscape Ecol., 24, 473–482, https://doi.org/10.1007/s10980-009-9332-1, 2009. a
Gates, D. M.: Transpiration and leaf temperature, Ann. Rev. Plant Physio., 19, 211–238, https://doi.org/10.1146/annurev.pp.19.060168.001235, 1968. a
Hansen, A. J., Neilson, R. P., Dale, V. H., Flather, C. H., Iverson, L. R.,
Currie, D. J., Shafer, S., Cook, R., and Bartlein, P. J.: Global change in
forests: responses of species, communities, and biomes: interactions between
climate change and land use are projected to cause large shifts in
biodiversity, BioScience, 51, 765–779, https://doi.org/10.1641/0006-3568(2001)051[0765:GCIFRO]2.0.CO;2, 2001. a
Herring, S. C., Christidis, N., Hoell, A., Kossin, J. P., Schreck III, C. J.,
and Stott, P. A.: Explaining extreme events of 2016 from a climate
perspective, B. Am. Meteorol. Soc., 99, 1–157,
https://doi.org/10.1175/bams-explainingextremeevents2016.1, 2018. a
Hickler, T., Prentice, I. C., Smith, B., Sykes, M. T., and Zaehle, S.:
Implementing plant hydraulic architecture within the LPJ Dynamic Global
Vegetation Model, Global Ecol. Biogeogr., 15, 567–577,
https://doi.org/10.1111/j.1466-8238.2006.00254.x, 2006. a
Hickler, T., Rammig, A., and Werner, C.: Modelling CO2 impacts on forest productivity, Current Forestry Reports, 1, 69–80,
https://doi.org/10.1007/s40725-015-0014-8, 2015. a
Hijmans, R. J. and van Etten, J.: raster: Geographic analysis and modeling
with raster data, R package version 2.0–12, 2012. a
Holmgren, M. and Scheffer, M.: El Niño as a window of opportunity for the restoration of degraded arid ecosystems, Ecosystems, 4, 151–159,
https://doi.org/10.1007/s100210000065, 2001. a
Huang, J., Yu, H., Guan, X., Wang, G., and Guo, R.: Accelerated dryland
expansion under climate change, Nat. Clim. Change, 6, 166–171, https://doi.org/10.1038/nclimate2837, 2016. a
Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90 m
Database, 2008. a
Jucker, T., Bongalov, B., Burslem, D. F., Nilus, R., Dalponte, M., Lewis,
S. L., Phillips, O. L., Qie, L., and Coomes, D. A.: Topography shapes the
structure, composition and function of tropical forest landscapes,
Ecol. Lett., 21, 989–1000, https://doi.org/10.1111/ele.12964, 2018. a
Kattge, J. and Knorr, W.: Temperature acclimation in a biochemical model of
photosynthesis: a reanalysis of data from 36 species, Plant Cell Environ., 30, 1176–1190, https://doi.org/10.1111/j.1365-3040.2007.01690.x, 2007. a, b
Kergoat, L., Lafont, S., Douville, H., Berthelot, B., Dedieu, G., Planton, S., and Royer, J.-F.: Impact of doubled CO2 on global-scale leaf
area index and evapotranspiration: Conflicting stomatal conductance and
LAI responses, J. Geophys. Res.-Atmos., 107, 4808,
https://doi.org/10.1029/2001jd001245, 2002. a
Kgope, B. S., Bond, W. J., and Midgley, G. F.: Growth responses of African
savanna trees implicate atmospheric CO2 as a driver of past
and current changes in savanna tree cover, Austral Ecol., 35, 451–463, https://doi.org/10.1111/j.1442-9993.2009.02046.x,
2010. a
Kikuzawa, K. and Lechowicz, M. J.: Ecology of leaf longevity, in: Ecology of Leaf Longevity, 1–6, Springer, Tokyo, 2011. a
Kirschbaum, M. U. F.: Direct and indirect climate change effects on
photosynthesis and transpiration, Plant Biology, 6, 242–253,
https://doi.org/10.1055/s-2004-820883, 2004. a
Körner, C.: Paradigm shift in plant growth control,
Curr. Opin. Plant Biol., 25, 107–114, https://doi.org/10.1016/j.pbi.2015.05.003, 2015. a, b
Körner, C., Asshoff, R., Bignucolo, O., Hättenschwiler, S., Keel, S. G., Peláez-Riedl, S., Pepin, S., Siegwolf, R. T., and Zotz, G.: Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2, Science, 309, 1360–1362, https://doi.org/10.1126/science.1113977, 2005. a
Kumar, D. and Scheiter, S.: Biome diversity in South Asia – How can we
improve vegetation models to understand global change impact at regional
level?, Sci. Total Environ., 671, 1001–1016,
https://doi.org/10.1016/j.scitotenv.2019.03.251, 2019. a, b
Kumar, D., Pfeiffer, M., Gaillard, C., Langan, L., Martens, C., and Scheiter,
S.: Misinterpretation of Asian savannas as degraded forest can mislead
management and conservation policy under climate change, Biol. Conserv., 241, 108293, https://doi.org/10.1016/j.biocon.2019.108293, 2020. a, b, c
Lapola, D. M., Priess, J. A., and Bondeau, A.: Modeling the land requirements
and potential productivity of sugarcane and jatropha in Brazil and India
using the LPJmL dynamic global vegetation model, Biomass Bioenerg., 33,
1087–1095, https://doi.org/10.1016/j.biombioe.2009.04.005, 2009. a
Leakey, A. D., Ainsworth, E. A., Bernacchi, C. J., Rogers, A., Long, S. P., and Ort, D. R.: Elevated CO2 effects on plant carbon, nitrogen,
and water relations: six important lessons from FACE,
J. Exp. Bot., 60, 2859–2876, https://doi.org/10.1093/jxb/erp096, 2009. a, b, c
Lin, D., Xia, J., and Wan, S.: Climate warming and biomass accumulation of
terrestrial plants: a meta-analysis, New Phytol., 188, 187–198, https://doi.org/10.1111/j.1469-8137.2010.03347.x, 2010. a, b
Liu, M., Tian, H., Chen, G., Ren, W., Zhang, C., and Liu, J.: Effects of
Land-Use and Land-Cover Change on Evapotranspiration and Water
Yield in China During 1900–2000, J. Am. Water Resour. As., 44, 1193–1207, https://doi.org/10.1111/j.1752-1688.2008.00243.x, 2008. a
Liu, M.-Z. and Osborne, C. P.: Leaf cold acclimation and freezing injury in
C3 and C4 grasses of the Mongolian Plateau,
J. Exp. Bot., 59, 4161–4170, https://doi.org/10.1093/jxb/ern257, 2008. a
Lloyd, J., Bird, M. I., Vellen, L., Miranda, A. C., Veenendaal, E. M.,
Djagbletey, G., Miranda, H. S., Cook, G., and Farquhar, G. D.: Contributions
of woody and herbaceous vegetation to tropical savanna ecosystem
productivity: a quasi-global estimate, Tree Physiol., 28, 451–468,
https://doi.org/10.1093/treephys/28.3.451, 2008. a
Lombardozzi, D. L., Bonan, G. B., Smith, N. G., Dukes, J. S., and Fisher,
R. A.: Temperature acclimation of photosynthesis and respiration: A key
uncertainty in the carbon cycle-climate feedback,
Geophys. Res. Lett., 42, 8624–8631, https://doi.org/10.1002/2015gl065934, 2015. a
Long, S. P., Ainsworth, E. A., Rogers, A., and Ort, D. R.: Rising atmospheric
carbon dioxide: plants FACE the future, Annu. Rev. Plant Biol., 55,
591–628, https://doi.org/10.1146/annurev.arplant.55.031903.141610, 2004. a, b
Loreau, M., Naeem, S., Inchausti, P., Bengtsson, J., Grime, J. P., Hector, A., Hooper, D. U., Huston, M. A., Raffaelli, D., and Schmid, B.: Biodiversity and ecosystem functioning: current knowledge and future challenges, Science, 294, 804–808, https://doi.org/10.1126/science.1064088, 2001. a
Mao, J., Fu, W., Shi, X., Ricciuto, D. M., Fisher, J. B., Dickinson, R. E.,
Wei, Y., Shem, W., Piao, S., and Wang, K.: Disentangling climatic and
anthropogenic controls on global terrestrial evapotranspiration trends,
Environ. Res. Lett., 10, 094008,
https://doi.org/10.1088/1748-9326/10/9/094008, 2015. a
Mcdowell, N. G., Williams, A., Xu, C., Pockman, W., Dickman, L., Sevanto, S.,
Pangle, R., Limousin, J., Plaut, J., Mackay, D. S., and Ogee, J.: Multi-scale
predictions of massive conifer mortality due to chronic temperature rise,
Nat. Clim. Change, 6, 295–300, https://doi.org/10.1038/nclimate3143, 2016. a
McSweeney, C. F. and Jones, R. G.: How representative is the spread of climate projections from the 5 CMIP5 GCMs used in ISI-MIP?, Climate Services, 1, 24–29, https://doi.org/10.1016/j.cliser.2016.02.001, 2016. a
Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T.,
Lamarque, J.-F., Matsumoto, K., Montzka, S. A., Raper, S. C. B., and Riahi,
K.: The RCP greenhouse gas concentrations and their extensions from 1765 to
2300, Climatic Change, 109, 213, https://doi.org/10.1007/s10584-011-0156-z, 2011. a, b
Myers, N., Mittermeier, R. A., Mittermeier, C. G., Da Fonseca, G. A., and Kent, J.: Biodiversity hotspots for conservation priorities, Nature, 403, 853–858, https://doi.org/10.1038/35002501, 2000. a, b, c
Nachtergaele, F., van Velthuizen, H., Verelst, L., Batjes, N., Dijkshoorn, K., Van Engelen, V., Fischer, G., Jones, A., Montanarella, L., and Petri, M.:
Harmonized world soil database (version 1.1), FAO, Rome, Italy, IIASA,
Laxenburg, Austria, 2009. a
Nolan, C., Overpeck, J. T., Allen, J. R., Anderson, P. M., Betancourt, J. L.,
Binney, H. A., Brewer, S., Bush, M. B., Chase, B. M., and Cheddadi, R.: Past
and future global transformation of terrestrial ecosystems under climate
change, Science, 361, 920–923, https://doi.org/10.1126/science.aan5360, 2018. a, b
Norby, R. J. and Luo, Y.: Evaluating ecosystem responses to rising atmospheric CO2 and global warming in a multi-factor world,
New Phytol., 162, 281–293, https://doi.org/10.1111/j.1469-8137.2004.01047.x, 2004. a
Norby, R. J. and Zak, D. R.: Ecological lessons from free-air CO2 enrichment (FACE) experiments, Annu. Rev. Ecol. Evol. S., 42, 181–203, https://doi.org/10.1146/annurev-ecolsys-102209-144647, 2011. a, b, c, d
Overpeck, J. T., Rind, D., and Goldberg, R.: Climate-induced changes in forest disturbance and vegetation, Nature, 343, 51–53, https://doi.org/10.1038/343051a0, 1990. a
Parr, C. L., Gray, E. F., and Bond, W. J.: Cascading biodiversity and
functional consequences of a global change–induced biome switch, Divers. Distrib., 18, 493–503, https://doi.org/10.1111/j.1472-4642.2012.00882.x, 2012. a
Parr, C. L., Lehmann, C. E., Bond, W. J., Hoffmann, W. A., and Andersen, A. N.: Tropical grassy biomes: misunderstood, neglected, and under threat, Trends Ecol. Evol., 29, 205–213, https://doi.org/10.1016/j.tree.2014.02.004, 2014. a
Parton, W., Scurlock, J., Ojima, D., Gilmanov, T., Scholes, R., Schimel, D. S., Kirchner, T., Menaut, J.-C., Seastedt, T., Garcia Moya, E., and Kamnalrut, A.:
Observations and modeling of biomass and soil organic matter dynamics for the
grassland biome worldwide, Global Biogeochem. Cy., 7, 785–809, https://doi.org/10.1029/93GB02042, 1993. a
Pfeiffer, M., Langan, L., Linstädter, A., Martens, C., Gaillard, C., Ruppert, J. C., Higgins, S. I., Mudongo, E. I., and Scheiter, S.: Grazing and aridity reduce perennial grass abundance in semi-arid rangelands – Insights from a trait-based dynamic vegetation model, Ecol. Model., 395, 11–22, https://doi.org/10.1016/j.ecolmodel.2018.12.013, 2019. a, b
Piao, S., Friedlingstein, P., Ciais, P., Zhou, L., and Chen, A.: Effect of
climate and CO2 changes on the greening of the Northern Hemisphere over the past two decades, Geophys. Res. Lett., 33, L23402,
https://doi.org/10.1029/2006gl028205, 2006. a
Piao, S., Wang, X., Park, T., Chen, C., Lian, X., He, Y., Bjerke, J. W., Chen, A., Ciais, P., Tømmervik, H., and Nemani, R. R.: Characteristics, drivers and
feedbacks of global greening, Nat. Rev. Earth Environ., 1, 14–27, https://doi.org/10.1038/s43017-019-0001-x, 2019. a
Prentice, I. C., Bondeau, A., Cramer, W., Harrison, S. P., Hickler, T., Lucht, W., Sitch, S., Smith, B., and Sykes, M. T.: Dynamic global vegetation modeling: quantifying terrestrial ecosystem responses to large-scale environmental change. In Terrestrial ecosystems in a changing world, 175–192, Springer, Berlin, Heidelberg, 2007. a, b
Proença, V., Martin, L. J., Pereira, H. M., Fernandez, M., McRae, L., Belnap, J., Böhm, M., Brummitt, N., García-Moreno, J., and Gregory, R. D.: Global biodiversity monitoring: from data sources to essential biodiversity variables, Biol. Conserv., 213, 256–263,
https://doi.org/10.1016/j.biocon.2016.07.014, 2017. a
Ramankutty, N., Foley, J. A., Hall, F., Collatz, G., Meeson, B., Los, S., Brown De Colstoun, E., and Landis, D.: ISLSCP II Potential Natural
Vegetation Cover, ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ornldaac/961, 2010. a
Ratnam, J., Tomlinson, K. W., Rasquinha, D. N., and Sankaran, M.: Savannahs of Asia: antiquity, biogeography, and an uncertain future, Philos. T. Roy. Soc. B, 371, 20150305, https://doi.org/10.1098/rstb.2015.0305, 2016. a, b
Ravindranath, N. H., Somashekhar, B. S., and Gadgil, M.: Carbon flow in
Indian forests, Climatic Change, 35, 297–320,
https://doi.org/10.1023/A:1005303405404, 1997. a
Ravindranath, N. H., Murali, K. S., and Sudha, P.: Community forestry
initiatives in Southeast Asia: a review of ecological impacts,
International Journal of Environment and Sustainable Development (IJESD), 5, 1–11, https://doi.org/10.1504/ijesd.2006.008678, 2006. a, b
Richardson, A. D., Keenan, T. F., Migliavacca, M., Ryu, Y., Sonnentag, O., and Toomey, M.: Climate change, phenology, and phenological control of vegetation feedbacks to the climate system,
Agr. Forest Meteorol., 169, 156–173, https://doi.org/10.1016/j.agrformet.2012.09.012, 2013. a
Rodgers, W. A. and Panwar, H. S.: Planning a wildlife protected area network in India, A report. Wildlife Institute of India, Dehradun, 1988. a
Running, S. W. and Hunt Jr, E. R.: Generalization of a forest ecosystem process model for other biomes, BIOME-BCG, and an application for global-scale models, in: Scaling Physiological Processes: Leaf to Globe, edited by: Ehleringer, J. R. and Field, C. B., Academic Press Inc., San Diego, CA, USA, 141–158, 1993. a
Rustad, L., Campbell, J., Marion, G., Norby, R., Mitchell, M., Hartley, A.,
Cornelissen, J., and Gurevitch, J.: A meta-analysis of the response of soil
respiration, net nitrogen mineralization, and aboveground plant growth to
experimental ecosystem warming, Oecologia, 126, 543–562,
https://doi.org/10.1007/s004420000544, 2001. a
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M., Mitchard, E. T., Salas,
W., Zutta, B. R., Buermann, W., Lewis, S. L., and Hagen, S.: 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. a, b
Saikia, P., Deka, J., Bharali, S., Kumar, A., Tripathi, O. P., Singha, L. B.,
Dayanandan, S., and Khan, M. L.: Plant diversity patterns and conservation
status of eastern Himalayan forests in Arunachal Pradesh, Northeast
India, Forest Ecosystems, 4, 28, https://doi.org/10.1186/s40663-017-0117-8, 2017. a
Sakschewski, B., Bloh, W., Boit, A., Rammig, A., Kattge, J., Poorter, L.,
Peñuelas, J., and Thonicke, K.: Leaf and stem economics spectra drive
diversity of functional plant traits in a dynamic global vegetation model,
Global Change Biol., 21, 2711–2725, https://doi.org/10.1111/gcb.12870, 2015. a, b
Sato, H., Itoh, A., and Kohyama, T.: SEIB–DGVM: A new Dynamic
Global Vegetation Model using a spatially explicit individual-based
approach, Ecol. Model., 200, 279–307,
https://doi.org/10.1016/j.ecolmodel.2006.09.006, 2007. a
Scheiter, S., Langan, L., and Higgins, S. I.: Next-generation dynamic global
vegetation models: learning from community ecology, New Phytol., 198,
957–969, https://doi.org/10.1111/nph.12210, 2013. a, b, c
Scheiter, S., Kumar, D., Corlett, R. T., Gaillard, C., Langan, L., Lapuz,
R. S., Martens, C., Pfeiffer, M., and Kyle, T. W.: Climate change promotes
transitions to tall evergreen vegetation in tropical Asia, Global Change Biol., 26, 5106–5124, https://doi.org/10.1111/gcb.15217, 2020. a, b
Schimel, D., Stephens, B. B., and Fisher, J. B.: Effect of increasing CO2 on the terrestrial carbon cycle, P. Natl. Acad. Sci. USA, 112, 436–441, https://doi.org/10.1073/pnas.1407302112, 2015. a
Sharkey, T. D., Bernacchi, C. J., Farquhar, G. D., and Singsaas, E. L.: Fitting photosynthetic carbon dioxide response curves for C3 leaves, Plant Cell Environ., 30, 1035–1040, https://doi.org/10.1111/j.1365-3040.2007.01710.x, 2007. a
Simard, M., Pinto, N., Fisher, J. B., and Baccini, A.: Mapping forest canopy
height globally with spaceborne lidar, J. Geophys. Res.-Biogeo., 116, G04021, https://doi.org/10.1029/2011jg001708, 2011. a, b
Sinha, S., Badola, H. K., Chhetri, B., Gaira, K. S., Lepcha, J., and Dhyani,
P. P.: Effect of altitude and climate in shaping the forest compositions of
Singalila National Park in Khangchendzonga Landscape, Eastern
Himalaya, India, J. Asia-Pac. Biodivers., 11, 267–275,
https://doi.org/10.1016/j.japb.2018.01.012, 2018. a
Sitch, S., Friedlingstein, P., Gruber, N., Jones, S. D., Murray-Tortarolo, G., Ahlström, A., Doney, S. C., Graven, H., Heinze, C., Huntingford, C., Levis, S., Levy, P. E., Lomas, M., Poulter, B., Viovy, N., Zaehle, S., Zeng, N., Arneth, A., Bonan, G., Bopp, L., Canadell, J. G., Chevallier, F., Ciais, P., Ellis, R., Gloor, M., Peylin, P., Piao, S. L., Le Quéré, C., Smith, B., Zhu, Z., and Myneni, R.: Recent trends and drivers of regional sources and sinks of carbon dioxide, Biogeosciences, 12, 653–679, https://doi.org/10.5194/bg-12-653-2015, 2015. a
Smith, B., Wårlind, D., Arneth, A., Hickler, T., Leadley, P., Siltberg, J., and Zaehle, S.: Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model, Biogeosciences, 11, 2027–2054, https://doi.org/10.5194/bg-11-2027-2014, 2014. a
Soh, W. K., Yiotis, C., Murray, M., Parnell, A., Wright, I. J., Spicer, R. A., Lawson, T., Caballero, R., and McElwain, J. C.: Rising CO2
drives divergence in water use efficiency of evergreen and deciduous plants,
Science Advances, 5, eaax7906, https://doi.org/10.1126/sciadv.aax7906, 2019. a, b
Song, J., Wan, S., Piao, S., Knapp, A. K., Classen, A. T., Vicca, S., Ciais,
P., Hovenden, M. J., Leuzinger, S., Beier, C., and Kardol, P.: A meta-analysis of
1119 manipulative experiments on terrestrial carbon-cycling responses to
global change, Nat. Ecol. Evol., 3, 1309–1320, https://doi.org/10.1038/s41559-019-0958-3, 2019. a
Sperry, J. S., Venturas, M. D., Todd, H. N., Trugman, A. T., Anderegg, W. R.,
Wang, Y., and Tai, X.: The impact of rising CO2 and acclimation on the response of US forests to global warming, P. Natl. Acad. Sci. USA, 116, 25734–25744, https://doi.org/10.1073/pnas.1913072116, 2019. a
Stephenson, N.: Actual evapotranspiration and deficit: biologically meaningful correlates of vegetation distribution across spatial scales, J. Biogeogr., 25, 855–870, https://doi.org/10.1046/j.1365-2699.1998.00233.x, 1998. a
Stevens, N., Lehmann, C. E., Murphy, B. P., and Durigan, G.: Savanna woody
encroachment is widespread across three continents, Global Change Biol.,
23, 235–244, https://doi.org/10.1111/gcb.13409, 2017. a, b, c
Terrer, C., Vicca, S., Stocker, B. D., Hungate, B. A., Phillips, R. P., Reich, P. B., Finzi, A. C., and Prentice, I. C.: Ecosystem responses to elevated CO2 governed by plant–soil interactions and the cost of
nitrogen acquisition, New Phytol., 217, 507–522,
https://doi.org/10.1111/nph.14872, 2018. a
Terrer, C., Jackson, R. B., Prentice, I. C., Keenan, T. F., Kaiser, C., Vicca, S., Fisher, J. B., Reich, P. B., Stocker, B. D., Hungate, B. A., and Penuelas, J.: Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass, Nat. Clim. Change, 9, 684–689, https://doi.org/10.1038/s41558-020-0808-y, 2019. a, b
Thuiller, W., Albert, C., Araújo, M. B., Berry, P. M., Cabeza, M., Guisan, A., Hickler, T., Midgley, G. F., Paterson, J., Schurr, F. M., and Sykes, M. T.: Predicting global change impacts on plant species' distributions: future challenges, Perspect. Plant Ecol., 9, 137–152, https://doi.org/10.1016/j.ppees.2007.09.004, 2008. a
Tian, H., Melillo, J., Kicklighter, D., McGuire, A., and Helfrich, J.: The
sensitivity of terrestrial carbon storage to historical climate variability
and atmospheric CO2 in the United States,
Tellus B, 51, 414–452, https://doi.org/10.1034/j.1600-0889.1999.00021.x, 1999. a
Tuanmu, M.-N. and Jetz, W.: A global 1 km consensus land-cover product for
biodiversity and ecosystem modelling, Global Ecol. Biogeogr., 23,
1031–1045, https://doi.org/10.1111/geb.12182, 2014. a, b
Urban, J., Ingwers, M., McGuire, M. A., and Teskey, R. O.: Stomatal conductance increases with rising temperature, Plant Signaling & Behavior 12, e1356534, https://doi.org/10.1080/15592324.2017.1356534, 2017. a
Van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard,
K., Hurtt, G. C., Kram, T., Krey, V., and Lamarque, J.-F.: The representative
concentration pathways: an overview, Climatic Change, 109, 5,
https://doi.org/10.1007/s10584-011-0148-z, 2011. a, b
Verstraete, M. M., Scholes, R. J., and Smith, M. S.: Climate and
desertification: looking at an old problem through new lenses,
Front. Ecol. Environ., 7, 421–428, https://doi.org/10.1890/080119, 2009. a
Walker, M. D., Wahren, C. H., Hollister, R. D., Henry, G. H., Ahlquist, L. E., Alatalo, J. M., Bret-Harte, M. S., Calef, M. P., Callaghan, T. V., Carroll, A. B., and Epstein, H. E.: Plant community responses to experimental warming across the tundra biome, P. Natl. Acad. Sci. USA, 103, 1342–1346, 2006. a
Wang, X., Wang, T., Liu, D., Guo, H., Huang, H., and Zhao, Y.: Moisture-induced greening of the South Asia over the past three decades, Global Change Biol., 23, 4995–5005, https://doi.org/10.1111/gcb.13762, 2017. a
Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., and Schewe, J.: The inter-sectoral impact model intercomparison project (ISI–MIP): project framework, P. Natl. Acad. Sci. USA, 111, 3228–3232, https://doi.org/10.1073/pnas.1312330110, 2014. a
Wingfield, J. C.: Ecological processes and the ecology of stress: the impacts
of abiotic environmental factors, Funct. Ecol., 27, 37–44,
https://doi.org/10.1111/1365-2435.12039, 2013. a
Woodrow, I. E. and Berry, J.: Enzymatic regulation of photosynthetic CO2, fixation in C3 plants, Annu. Rev. Plant Phys., 39, 533–594, 1988. a
Wright, I. J., Reich, P. B., Cornelissen, J. H., Falster, D. S., Groom, P. K., Hikosaka, K., Lee, W., Lusk, C. H., Niinemets, Ü., and Oleksyn, J.: Modulation of leaf economic traits and trait relationships by climate, Global Ecol. Biogeogr., 14, 411–421,
https://doi.org/10.1111/j.1466-822x.2005.00172.x, 2005. a
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y.,
Chen, G., Dong, W., Hu, Z., and Jain, A. K.: Increased atmospheric vapor pressure
deficit reduces global vegetation growth, Science Advances, 5, eaax1396, https://doi.org/10.1126/sciadv.aax1396,
2019.
a
Zemunik, G., Turner, B. L., Lambers, H., and Laliberté, E.: Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem
development, Nat. Plants, 1, 15050, https://doi.org/10.1038/nplants.2015.50, 2015. a
Zhang, K., Kimball, J. S., Nemani, R. R., and Running, S. W.: A continuous
satellite-derived global record of land surface evapotranspiration from 1983
to 2006, Water Resour. Res., 46, W09522, https://doi.org/10.1029/2009wr008800, 2010. a, b
Zhang, Y., Peña-Arancibia, J. L., McVicar, T. R., Chiew, F. H., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., and Liu, Y. Y.: Multi-decadal trends in
global terrestrial evapotranspiration and its components, Sci. Rep.-UK,
6, 19124, https://doi.org/10.1038/srep19124, 2016. a
Short summary
In this paper, we investigated the impact of climate change and rising CO2 on biomes using a vegetation model in South Asia, an often neglected region in global modeling studies. Understanding these impacts guides ecosystem management and biodiversity conservation. Our results indicate that savanna regions are at high risk of woody encroachment and transitioning into the forest, and the bioclimatic envelopes of biomes need adjustments to account for shifts caused by climate change and CO2.
In this paper, we investigated the impact of climate change and rising CO2 on biomes using a...
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