149 citations as recorded by crossref.

1. The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework L. Warszawski et al. 10.1073/pnas.1312330110
2. From plant functional types to plant functional traits Y. Yang et al. 10.1177/0309133315582018
3. Identifying opportunities for long-lasting habitat conservation and restoration in Hawaii’s shifting climate L. Fortini & J. Jacobi 10.1007/s10113-018-1342-6
4. Global patterns of woody residence time and its influence on model simulation of aboveground biomass B. Xue et al. 10.1002/2016GB005557
5. Active layer depth and soil properties impact specific leaf area variation and ecosystem productivity in a boreal forest C. Anderson et al. 10.1371/journal.pone.0232506
6. High potential for weathering and climate effects of non-vascular vegetation in the Late Ordovician P. Porada et al. 10.1038/ncomms12113
7. Modeling terrestrial carbon and water dynamics across climatic gradients: does plant trait diversity matter? C. Pappas et al. 10.1111/nph.13590
8. Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems S. Wullschleger et al. 10.1093/aob/mcu077
9. Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2 A. Friend et al. 10.1073/pnas.1222477110
10. Modeling the carbon cost of plant nitrogen acquisition: Mycorrhizal trade-offs and multipath resistance uptake improve predictions of retranslocation E. Brzostek et al. 10.1002/2014JG002660
11. Inclusion of ecologically based trait variation in plant functional types reduces the projected land carbon sink in an earth system model L. Verheijen et al. 10.1111/gcb.12871
12. The impact of alternative trait‐scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production A. Walker et al. 10.1111/nph.14623
13. Towards a New Generation of Trait-Flexible Vegetation Models F. Berzaghi et al. 10.1016/j.tree.2019.11.006
14. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
15. Different trends of vegetation activity over northern extratropics during two multidecadal warming periods in the 20th century Z. Guo et al. 10.1016/j.gloplacha.2023.104181
16. Predicting species’ range limits from functional traits for the tree flora of North America U. Stahl et al. 10.1073/pnas.1300673111
17. Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) R. Fisher et al. 10.5194/gmd-8-3593-2015
18. Response of semi-arid savanna vegetation composition towards grazing along a precipitation gradient—The effect of including plant heterogeneity into an ecohydrological savanna model T. Guo et al. 10.1016/j.ecolmodel.2016.01.004
19. Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative B. Poulter et al. 10.5194/gmd-8-2315-2015
20. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP J. Davie et al. 10.5194/esd-4-359-2013
21. Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
22. The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model D. Ricciuto et al. 10.1002/2017MS000962
23. Climate, soil organic layer, and nitrogen jointly drive forest development after fire in the North American boreal zone A. Trugman et al. 10.1002/2015MS000576
24. Assessing Vegetation Function with Imaging Spectroscopy J. Gamon et al. 10.1007/s10712-019-09511-5
25. The Strengths of r- and K-Selection Shape Diversity-Disturbance Relationships K. Bohn et al. 10.1371/journal.pone.0095659
26. Carbon implications of converting cropland to bioenergy crops or forest for climate mitigation: a global assessment F. Albanito et al. 10.1111/gcbb.12242
27. Unifying functional and population ecology to test the adaptive value of traits D. Laughlin 10.1111/brv.13107
28. Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems B. Drewniak & M. Gonzalez-Meler 10.3390/f8080267
29. Biome: evolution of a crucial ecological and biogeographical concept L. Mucina 10.1111/nph.15609
30. Importance of organ age in driving intraspecific trait variation and coordination for three evergreen coniferous species C. Liu et al. 10.1016/j.ecolind.2020.107099
31. Coordination of intra and inter-species leaf traits according to leaf phenology and plant age for three temperate broadleaf species with different shade tolerances Z. Liu et al. 10.1016/j.foreco.2018.12.008
32. Drought stress limits the geographic ranges of two tree species via different physiological mechanisms L. Anderegg & J. HilleRisLambers 10.1111/gcb.13148
33. Higher functional diversity improves modeling of Amazon forest carbon storage B. Rius et al. 10.1016/j.ecolmodel.2023.110323
34. Leaf Trait Acclimation Amplifies Simulated Climate Warming in Response to Elevated Carbon Dioxide M. Kovenock & A. Swann 10.1029/2018GB005883
35. Dynamically simulating spruce budworm in eastern Canada and its interactions with wildfire H. Sato et al. 10.1016/j.ecolmodel.2023.110412
36. A multi-model analysis of risk of ecosystem shifts under climate change L. Warszawski et al. 10.1088/1748-9326/8/4/044018
37. Introduction for special issue: Carbon, water and nutrient cycling in managed forests A. Noormets & Y. Nouvellon 10.1016/j.foreco.2015.08.022
38. Aerosol optical depth thresholds as a tool to assess diffuse radiation fertilization of the land carbon uptake in China X. Yue & N. Unger 10.5194/acp-17-1329-2017
39. An individual‐based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications I. Maréchaux & J. Chave 10.1002/ecm.1271
40. A novel approach for modelling vegetation distributions and analysing vegetation sensitivity through trait-climate relationships in China Y. Yang et al. 10.1038/srep24110
41. A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics T. Pugh et al. 10.1029/2018EF000935
42. Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change A. Trugman et al. 10.1111/gcb.14814
43. From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance S. Serbin et al. 10.1111/nph.16123
44. Evaluation of climate‐related carbon turnover processes in global vegetation models for boreal and temperate forests M. Thurner et al. 10.1111/gcb.13660
45. Integrating correlation between traits improves spatial predictions of plant functional composition R. Wüest et al. 10.1111/oik.04420
46. Hydrodynamic trait coordination and cost–benefit trade‐offs throughout the isohydric–anisohydric continuum in trees G. Mirfenderesgi et al. 10.1002/eco.2041
47. Trait covariance: the functional warp of plant diversity? A. Walker et al. 10.1111/nph.14853
48. Global NO and HONO emissions of biological soil crusts estimated by a process-based non-vascular vegetation model P. Porada et al. 10.5194/bg-16-2003-2019
49. Moving beyond photosynthesis: from carbon source to sink‐driven vegetation modeling S. Fatichi et al. 10.1111/nph.12614
50. REVIEW: Predictive ecology in a changing world N. Mouquet et al. 10.1111/1365-2664.12482
51. Seasonal Variation in the NDVI–Species Richness Relationship in a Prairie Grassland Experiment (Cedar Creek) R. Wang et al. 10.3390/rs8020128
52. Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework E. Weng et al. 10.1111/gcb.13542
53. Increasing Functional Diversity in a Global Land Surface Model Illustrates Uncertainties Related to Parameter Simplification E. Butler et al. 10.1029/2021JG006606
54. Representation of Plant Hydraulics in the Noah‐MP Land Surface Model: Model Development and Multiscale Evaluation L. Li et al. 10.1029/2020MS002214
55. The Cretaceous physiological adaptation of angiosperms to a declining <i>p</i>CO<sub>2</sub>: a modeling approach emulating paleo-traits J. Bres et al. 10.5194/bg-18-5729-2021
56. Orographic evolution of northern Tibet shaped vegetation and plant diversity in eastern Asia S. Li et al. 10.1126/sciadv.abc7741
57. A research framework for projecting ecosystem change in highly diverse tropical mountain ecosystems J. Bendix et al. 10.1007/s00442-021-04852-8
58. Within‐species patterns challenge our understanding of the leaf economics spectrum L. Anderegg et al. 10.1111/ele.12945
59. Evaluation of global warming impacts on the carbon budget of terrestrial ecosystems in monsoon Asia: a multi‐model analysis A. Ito et al. 10.1007/s11284-016-1354-y
60. The surface-atmosphere exchange of carbon dioxide in tropical rainforests: Sensitivity to environmental drivers and flux measurement methodology Z. Fu et al. 10.1016/j.agrformet.2018.09.001
61. Impacts of future climate change on the carbon budget of northern high-latitude terrestrial ecosystems: An analysis using ISI-MIP data A. Ito et al. 10.1016/j.polar.2015.11.002
62. Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1) N. Fyllas et al. 10.5194/gmd-7-1251-2014
63. Water use strategies determine divergent growth trends of spruce and juniper on the southeastern Tibetan plateau L. Wang et al. 10.1016/j.fecs.2024.100248
64. Description and validation of the Simple, Efficient, Dynamic, Global, Ecological Simulator (SEDGES v.1.0) P. Paiewonsky & O. Elison Timm 10.5194/gmd-11-861-2018
65. Organizing principles for vegetation dynamics O. Franklin et al. 10.1038/s41477-020-0655-x
66. Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al. 10.5194/esd-9-153-2018
67. Missing pieces to modeling the Arctic-Boreal puzzle J. Fisher et al. 10.1088/1748-9326/aa9d9a
68. Drivers and mechanisms of tree mortality in moist tropical forests N. McDowell et al. 10.1111/nph.15027
69. Monitoring mangrove phenology using camera images Q. Xiang et al. 10.1088/1755-1315/432/1/012001
70. A continental‐scale assessment of variability in leaf traits: Within species, across sites and between seasons K. Bloomfield et al. 10.1111/1365-2435.13097
71. Trait-Based Climate Change Predictions of Vegetation Sensitivity and Distribution in China Y. Yang et al. 10.3389/fpls.2019.00908
72. Lineage‐based functional types: characterising functional diversity to enhance the representation of ecological behaviour in Land Surface Models D. Griffith et al. 10.1111/nph.16773
73. Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making M. Rounsevell et al. 10.1016/j.oneear.2021.06.003
74. Ideas and perspectives: Allocation of carbon from net primary production in models is inconsistent with observations of the age of respired carbon C. Sierra et al. 10.5194/bg-19-3727-2022
75. Trait-based representation of hydrological functional properties of plants in weather and ecosystem models A. Matheny et al. 10.1016/j.pld.2016.10.001
76. Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
77. Progress in DGVMs: a comment on "Impacts of trait variation through observed trait–climate relationships on performance of an Earth system model: a conceptual analysis" by Verheijen et al. (2013) S. Higgins et al. 10.5194/bg-11-4357-2014
78. Assessing climate change impacts, benefits of mitigation, and uncertainties on major global forest regions under multiple socioeconomic and emissions scenarios J. Kim et al. 10.1088/1748-9326/aa63fc
79. Vegetation demographics in Earth System Models: A review of progress and priorities R. Fisher et al. 10.1111/gcb.13910
80. MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales M. De Cáceres et al. 10.5194/gmd-16-3165-2023
81. Understanding global change impacts on South African biomes using Dynamic Vegetation Models G. Moncrieff et al. 10.1016/j.sajb.2015.02.004
82. Linking plant hydraulics and the fast–slow continuum to understand resilience to drought in tropical ecosystems R. Oliveira et al. 10.1111/nph.17266
83. Observing terrestrial ecosystems and the carbon cycle from space D. Schimel et al. 10.1111/gcb.12822
84. Incorporation of plant traits in a land surface model helps explain the global biogeographical distribution of major forest functional types X. Lu et al. 10.1111/geb.12535
85. Interspecific Soil Water Partitioning as a Driver of Increased Productivity in a Diverse Mixed Mediterranean Forest I. Rog et al. 10.1029/2021JG006382
86. Why can't we predict traits from the environment? L. Anderegg 10.1111/nph.18586
87. A dynamic local-scale vegetation model for lycopsids (LYCOm v1.0) S. Halder et al. 10.5194/gmd-15-2325-2022
88. On the variability of the ecosystem response to elevated atmospheric CO2 across spatial and temporal scales at the Duke Forest FACE experiment A. Paschalis et al. 10.1016/j.agrformet.2016.09.003
89. Ecohydrological controls on plant diversity in tropical South America S. Bonetti et al. 10.1002/eco.1853
90. Nitrogen feedbacks increase future terrestrial ecosystem carbon uptake in an individual-based dynamic vegetation model D. Wårlind et al. 10.5194/bg-11-6131-2014
91. Amazon Forest Ecosystem Responses to Elevated Atmospheric CO2 and Alterations in Nutrient Availability: Filling the Gaps with Model-Experiment Integration F. Hofhansl et al. 10.3389/feart.2016.00019
92. Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
93. Functional trait variation related to gap dynamics in tropical moist forests: A vegetation modelling perspective H. Togashi et al. 10.1016/j.ppees.2018.10.004
94. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession D. Medvigy et al. 10.1111/nph.15848
95. A new approach to optimal discretization of plant functional types in a process‐based ecosystem model with forest management: a case study for temperate conifers M. Peaucelle et al. 10.1111/geb.12557
96. Quantifying uncertainties in soil carbon responses to changes in global mean temperature and precipitation K. Nishina et al. 10.5194/esd-5-197-2014
97. Forest carbon allocation modelling under climate change K. Merganičová et al. 10.1093/treephys/tpz105
98. Toward a better integration of biological data from precipitation manipulation experiments into Earth system models N. Smith et al. 10.1002/2014RG000458
99. Model–data synthesis for the next generation of forest free‐air CO2 enrichment (FACE) experiments R. Norby et al. 10.1111/nph.13593
100. Effects of atmospheric aerosols on terrestrial carbon fluxes and CO2 concentrations in China X. Xie et al. 10.1016/j.atmosres.2020.104859
101. The role of species traits for grassland productivity F. Taubert et al. 10.1002/ecs2.3205
102. Edaphic, structural and physiological contrasts across Amazon Basin forest–savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function J. Lloyd et al. 10.5194/bg-12-6529-2015
103. Risk and contributing factors of ecosystem shifts over naturally vegetated land under climate change in China Y. Yin et al. 10.1038/srep20905
104. The effect of using the plant functional type paradigm on a data-constrained global phenology model S. Caldararu et al. 10.5194/bg-13-925-2016
105. A novel framework to generate plant functional groups for ecological modelling M. Calbi et al. 10.1016/j.ecolind.2024.112370
106. Integrating Species‐Specific Information in Models Improves Regional Projections Under Climate Change C. Remy et al. 10.1029/2019GL082762
107. The growth of the Tibetan Plateau shaped hydrologic cycle and ecosystem in eastern Asia: Progress and perspectives S. Li et al. 10.1360/TB-2022-0761
108. Biome diversity in South Asia - How can we improve vegetation models to understand global change impact at regional level? D. Kumar & S. Scheiter 10.1016/j.scitotenv.2019.03.251
109. Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models A. Argles et al. 10.5194/gmd-13-4067-2020
110. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
111. Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2 L. Rezende et al. 10.1007/s00484-015-1087-6
112. Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
113. Low historical nitrogen deposition effect on carbon sequestration in the boreal zone K. Fleischer et al. 10.1002/2015JG002988
114. Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenarios, climate projections, and ecosystem simulations using the ISI-MIP results K. Nishina et al. 10.5194/esd-6-435-2015
115. Quantifying microbial control of soil organic matter dynamics at macrosystem scales M. Bradford et al. 10.1007/s10533-021-00789-5
116. Investigating the mechanisms responsible for the lack of surface energy balance closure in a central Amazonian tropical rainforest T. Gerken et al. 10.1016/j.agrformet.2017.03.023
117. African biomes are most sensitive to changes in CO<sub>2</sub> under recent and near-future CO<sub>2</sub> conditions S. Scheiter et al. 10.5194/bg-17-1147-2020
118. Relative humidity predominantly determines long‐term biocrust‐forming lichen cover in drylands under climate change S. Baldauf et al. 10.1111/1365-2745.13563
119. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
120. New developments in the effort to model ecosystems under water stress B. Medlyn et al. 10.1111/nph.14082
121. Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective W. Liu et al. 10.1029/2018JD028984
122. Modeling the Carbon Cost of Plant Nitrogen and Phosphorus Uptake Across Temperate and Tropical Forests K. Allen et al. 10.3389/ffgc.2020.00043
123. The imprint of plants on ecosystem functioning: A data-driven approach T. Musavi et al. 10.1016/j.jag.2015.05.009
124. Assessing Long-Term Hydrological Impact of Climate Change Using an Ensemble Approach and Comparison with Global Gridded Model-A Case Study on Goodwater Creek Experimental Watershed S. Gautam et al. 10.3390/w10050564
125. Biogeographic historical legacies in the net primary productivity of Northern Hemisphere forests T. Conradi et al. 10.1111/ele.13481
126. Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
127. Modelling carbon sources and sinks in terrestrial vegetation S. Fatichi et al. 10.1111/nph.15451
128. Towards better representations of carbon allocation in vegetation: a conceptual framework and mathematical tool V. Ceballos-Núñez et al. 10.1007/s12080-020-00455-w
129. Comparisons of numerical phenology models and machine learning methods on predicting the spring onset of natural vegetation across the Northern Hemisphere W. Li et al. 10.1016/j.ecolind.2021.108126
130. Biota‐mediated carbon cycling—A synthesis of biotic‐interaction controls on blue carbon L. Ren et al. 10.1111/ele.13940
131. Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale S. Fatichi et al. 10.1002/wat2.1125
132. Revising the biome concept for understanding and predicting global change impacts G. Moncrieff et al. 10.1111/jbi.12701
133. Functional traits of lianas in an Australian lowland rainforest align with post‐disturbance rather than dry season advantage G. Buckton et al. 10.1111/aec.12764
134. Impacts of trait variation through observed trait–climate relationships on performance of an Earth system model: a conceptual analysis L. Verheijen et al. 10.5194/bg-10-5497-2013
135. Trait-based modelling in ecology: A review of two decades of research L. Zakharova et al. 10.1016/j.ecolmodel.2019.05.008
136. Contrasting stomatal sensitivity to temperature and soil drought in mature alpine conifers R. Peters et al. 10.1111/pce.13500
137. Global vegetation model diversity and the risks of climate-driven ecosystem shifts B. Bond-Lamberty 10.1088/1748-9326/8/4/041004
138. Tropical forest responses to increasing atmospheric CO2: current knowledge and opportunities for future research L. Cernusak et al. 10.1071/FP12309
139. Representing explicit budburst and senescence processes for evergreen conifers in global models M. Peaucelle et al. 10.1016/j.agrformet.2018.12.008
140. Leaf spectral clusters as potential optical leaf functional types within California ecosystems K. Roth et al. 10.1016/j.rse.2016.07.014
141. Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network J. Messier et al. 10.1111/1365-2745.12755
142. Feedbacks between vegetation and disturbance processes promote long-term persistence of forest–grassland mosaics in south Brazil C. Blanco et al. 10.1016/j.ecolmodel.2014.07.024
143. Leaf and stem economics spectra drive diversity of functional plant traits in a dynamic global vegetation model B. Sakschewski et al. 10.1111/gcb.12870
144. Controls on seasonal patterns of maximum ecosystem carbon uptake and canopy-scale photosynthetic light response: contributions from both temperature and photoperiod P. Stoy et al. 10.1007/s11120-013-9799-0
145. Biome stability and long-term vegetation change in the semi-arid, south-eastern interior of South Africa: A synthesis of repeat photo-monitoring studies M. Masubelele et al. 10.1016/j.sajb.2015.06.001
146. Identifying mechanisms that structure ecological communities by snapping model parameters to empirically observed tradeoffs A. Thomas Clark et al. 10.1111/ele.12910
147. Estimating global carbon uptake by lichens and bryophytes with a process-based model P. Porada et al. 10.5194/bg-10-6989-2013
148. Next‐generation dynamic global vegetation models: learning from community ecology S. Scheiter et al. 10.1111/nph.12210
149. A data-conditioned stochastic parameterization of temporal plant trait variability in an ecohydrological model and the potential for plasticity S. Liu & G. Ng 10.1016/j.agrformet.2019.05.005