122 citations as recorded by crossref.

1. Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. 10.5194/bg-13-1387-2016
2. Uncertainty in model parameters and regional carbon fluxes: A model-data fusion approach J. Xiao et al. 10.1016/j.agrformet.2014.01.022
3. 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
4. The origin of Asian monsoons: a modelling perspective D. Tardif et al. 10.5194/cp-16-847-2020
5. Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product G. Uchale et al. 10.1029/2023JG007468
6. Are Plant Functional Types Fit for Purpose? J. Cranko Page et al. 10.1029/2023GL104962
7. Challenges and opportunities in the use of remote sensing for C3and C4grass species discrimination and mapping C. Adjorlolo et al. 10.2989/10220119.2012.694120
8. Constraining plant functional types in a semi-arid ecosystem with waveform lidar N. Ilangakoon et al. 10.1016/j.rse.2018.02.070
9. A flux tower site attribute dataset intended for land surface modeling J. Shi et al. 10.5194/essd-17-117-2025
10. Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change B. Poulter et al. 10.1016/j.agrformet.2012.12.006
11. Plant Hydraulic Trait Covariation: A Global Meta-Analysis to Reduce Degrees of Freedom in Trait-Based Hydrologic Models A. Mursinna et al. 10.3390/f9080446
12. Role of forest regrowth in global carbon sink dynamics T. Pugh et al. 10.1073/pnas.1810512116
13. 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
14. Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models P. Horvath et al. 10.5194/bg-18-95-2021
15. Development of high resolution land surface parameters for the Community Land Model Y. Ke et al. 10.5194/gmd-5-1341-2012
16. Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. 10.5194/gmd-17-6725-2024
17. Present‐day and future contribution of climate and fires to vegetation composition in the boreal forest of China C. Wu et al. 10.1002/ecs2.1917
18. Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine R. Srinet et al. 10.1080/01431161.2020.1766147
19. MaxEnt-Based Potential Distribution Mapping and Range Shift under Future Climatic Scenarios for an Alpine Bamboo Thamnocalamus spathiflorus in Northwestern Himalayas R. Meena et al. 10.3390/land13070931
20. A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models K. Harper et al. 10.5194/essd-15-1465-2023
21. The ghost of past climate acting on present‐day plant diversity: Lessons from a climate‐based delimitation of the tropical alpine ecosystem M. Kandziora et al. 10.1111/jse.13048
22. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
23. A new model of the global biogeochemical cycle of carbonyl sulfide – Part 2: Use of carbonyl sulfide to constrain gross primary productivity in current vegetation models T. Launois et al. 10.5194/acp-15-9285-2015
24. Tropical rainforest response to marine sky brightening climate engineering H. Muri et al. 10.1002/2015GL063363
25. Evaluation of vegetation indices and imaging spectroscopy to estimate foliar nitrogen across disparate biomes M. Farella et al. 10.1002/ecs2.3992
26. Current estimates of biogenic emissions from eucalypts uncertain for southeast Australia K. Emmerson et al. 10.5194/acp-16-6997-2016
27. MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations J. Nathaniel et al. 10.1038/s41597-023-02349-y
28. A generalised ecohydrological landscape classification for assessing ecosystem risk in Australia due to an altering water regime A. Herr et al. 10.5194/hess-28-1957-2024
29. A global Fine‐Root Ecology Database to address below‐ground challenges in plant ecology C. Iversen et al. 10.1111/nph.14486
30. Using atmospheric trace gas vertical profiles to evaluate model fluxes: a case study of Arctic-CAP observations and GEOS simulations for the ABoVE domain C. Sweeney et al. 10.5194/acp-22-6347-2022
31. Present and future Köppen-Geiger climate classification maps at 1-km resolution H. Beck et al. 10.1038/sdata.2018.214
32. Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. 10.1111/gcbb.12686
33. A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes K. Naudts et al. 10.5194/gmd-8-2035-2015
34. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
35. El Niño Southern oscillation events contribute significantly to the interannual variations of dust activity over East Asia R. Zhao et al. 10.1016/j.atmosres.2024.107846
36. Towards a “periodic table” of abiotic stress tolerance strategies of woody plants G. Puglielli et al. 10.1016/j.flora.2022.152089
37. Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada L. Wang et al. 10.3390/rs11192286
38. Fitness for future: eLTER RI’s representation of climate and land use change T. Ohnemus et al. 10.1016/j.ecolind.2025.113159
39. Antarctic moss stress assessment based on chlorophyll content and leaf density retrieved from imaging spectroscopy data Z. Malenovský et al. 10.1111/nph.13524
40. Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model L. Wang et al. 10.5194/bg-20-2265-2023
41. Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion Y. Liu et al. 10.5194/hess-25-2399-2021
42. Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands M. Brandt et al. 10.1038/s41559-018-0530-6
43. The compact Earth system model OSCAR v2.2: description and first results T. Gasser et al. 10.5194/gmd-10-271-2017
44. Consequences of a Reduced Number of Plant Functional Types for the Simulation of Forest Productivity R. Fischer et al. 10.3390/f9080460
45. Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence T. Mukunga et al. 10.3390/fire6050197
46. Urgency of controlling agricultural nitrogen sources to alleviate summertime air pollution in the North China Plain R. Wang et al. 10.1016/j.chemosphere.2022.137124
47. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. 10.5194/gmd-11-5027-2018
48. Urban environment as an independent predictor of insulin resistance in a South Asian population M. Thanikachalam et al. 10.1186/s12942-019-0169-9
49. Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
50. Characterizing uncertainties in the ESA-CCI land cover map of the epoch 2010 and their impacts on MPI-ESM climate simulations G. Georgievski & S. Hagemann 10.1007/s00704-018-2675-2
51. Carbon implications of converting cropland to bioenergy crops or forest for climate mitigation: a global assessment F. Albanito et al. 10.1111/gcbb.12242
52. Cropland nitrogen dioxide emissions and effects on the ozone pollution in the North China plain R. Wang et al. 10.1016/j.envpol.2021.118617
53. 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
54. The Nexus Land-Use model version 1.0, an approach articulating biophysical potentials and economic dynamics to model competition for land-use F. Souty et al. 10.5194/gmd-5-1297-2012
55. From plant functional types to plant functional traits Y. Yang et al. 10.1177/0309133315582018
56. Representation of Plant Hydraulics in the Noah‐MP Land Surface Model: Model Development and Multiscale Evaluation L. Li et al. 10.1029/2020MS002214
57. Diurnal and seasonal coupling of conifer sap flow and vapour pressure deficit across topoclimatic gradients in a subalpine catchment N. Looker et al. 10.1002/eco.1994
58. Assessing disagreement and tolerance of misclassification of satellite-derived land cover products used in WRF model applications H. Gao & G. Jia 10.1007/s00376-012-2037-4
59. A comparison of the climate and carbon cycle effects of carbon removal by afforestation and an equivalent reduction in fossil fuel emissions K. Jayakrishnan & G. Bala 10.5194/bg-20-1863-2023
60. Estimation of gross primary production in China (1982–2010) with multiple ecosystem models X. Li et al. 10.1016/j.ecolmodel.2015.12.019
61. Wood‐density has no effect on stomatal control of leaf‐level water use efficiency in an Amazonian forest J. Lamour et al. 10.1111/pce.14704
62. Contrasting strategies of hydraulic control in two codominant temperate tree species A. Matheny et al. 10.1002/eco.1815
63. Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas S. Kota et al. 10.1016/j.atmosenv.2015.03.027
64. High-resolution land use and land cover dataset for regional climate modelling: a plant functional type map for Europe 2015 V. Reinhart et al. 10.5194/essd-14-1735-2022
65. Influence of high-latitude warming and land-use changes in the early 20th century northern Eurasian CO 2 sink A. Bastos et al. 10.1088/1748-9326/aac4d3
66. Emerging role of wetland methane emissions in driving 21st century climate change Z. Zhang et al. 10.1073/pnas.1618765114
67. Plant carbon metabolism and climate change: elevated CO2 and temperature impacts on photosynthesis, photorespiration and respiration M. Dusenge et al. 10.1111/nph.15283
68. Simulating environmentally‐sensitive tree recruitment in vegetation demographic models A. Hanbury‐Brown et al. 10.1111/nph.18059
69. Constraining a land cover map with satellite-based aboveground biomass estimates over Africa G. Marie et al. 10.5194/gmd-15-2599-2022
70. Bayesian Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid Scale T. Quaife & E. Cripps 10.3390/rs8040314
71. Observed and projected changes in global climate zones based on Köppen climate classification D. Cui et al. 10.1002/wcc.701
72. Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986) Y. Sun et al. 10.5194/gmd-14-1987-2021
73. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. 10.1002/2013GB004655
74. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L. Duncanson et al. 10.1016/j.rse.2021.112845
75. Evaluation of vegetation cover and land‐surface albedo in MPI‐ESM CMIP5 simulations V. Brovkin et al. 10.1029/2012MS000169
76. Global Spatial–Temporal Variability in Terrestrial Productivity and Phenology Regimes between 2000 and 2012 S. Thompson et al. 10.1080/24694452.2017.1309964
77. Generation of a global fuel data set using the Fuel Characteristic Classification System M. Pettinari & E. Chuvieco 10.5194/bg-13-2061-2016
78. Sand and Dust Storm Risk Assessment in Arid Central Asia: Implications for the Environment, Society, and Agriculture W. Wang et al. 10.1007/s13753-024-00591-5
79. Assessing the frequency and drivers of early‐greening in broad‐leaved woodlands along a latitudinal gradient in southern Africa M. Whitecross et al. 10.1111/aec.12448
80. Major forest changes and land cover transitions based on plant functional types derived from the ESA CCI Land Cover product W. Li et al. 10.1016/j.jag.2015.12.006
81. Determination of rice paddy parameters in the global gross primary production capacity estimation algorithm using 6 years of JP-MSE flux observation data K. Muramatsu et al. 10.2480/agrmet.D-16-00017
82. Uncertainty Quantification of Extratropical Forest Biomass in CMIP5 Models over the Northern Hemisphere C. Yang et al. 10.1038/s41598-018-29227-7
83. FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling A. Ukkola et al. 10.5194/gmd-10-3379-2017
84. Increasing contribution of peatlands to boreal evapotranspiration in a warming climate M. Helbig et al. 10.1038/s41558-020-0763-7
85. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al. 10.5194/bg-11-7025-2014
86. Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration Q. Wang et al. 10.1088/1748-9326/ac38db
87. How have past fire disturbances contributed to the current carbon balance of boreal ecosystems? C. Yue et al. 10.5194/bg-13-675-2016
88. Mapping the vegetation distribution of the permafrost zone on the Qinghai-Tibet Plateau Z. Wang et al. 10.1007/s11629-015-3485-y
89. ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation M. Guimberteau et al. 10.5194/gmd-11-121-2018
90. Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets Z. Langford et al. 10.3390/rs8090733
91. Global diurnal and nocturnal parameters of stomatal conductance in woody plants and major crops Y. Hoshika et al. 10.1111/geb.12681
92. The biophysical climate mitigation potential of boreal peatlands during the growing season M. Helbig et al. 10.1088/1748-9326/abab34
93. Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach X. Le Roux et al. 10.3389/fmicb.2016.00628
94. Reconstruction of 30 m Land Cover in the Qilian Mountains from 1980 to 1990 Based on Super-Resolution Generative Adversarial Networks X. Wang et al. 10.3390/rs16224252
95. Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management J. Chang et al. 10.5194/bg-13-3757-2016
96. Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin B. Zhong et al. 10.3390/rs13081596
97. Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments R. Prestele et al. 10.5194/esd-8-369-2017
98. Biotic interactions with mycorrhizal systems as extended nutrient acquisition strategies shaping forest soil communities and functions T. Netherway et al. 10.1016/j.baae.2020.10.002
99. How to predict plant functional types using imaging spectroscopy: linking vegetation community traits, plant functional types and spectral response A. Schweiger et al. 10.1111/2041-210X.12642
100. Orbital variations as a major driver of climate and biome distribution during the greenhouse to icehouse transition D. Tardif et al. 10.1126/sciadv.abh2819
101. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
102. Tropical vegetation response to Heinrich Event 1 as simulated with the UVic ESCM and CCSM3 D. Handiani et al. 10.5194/cp-9-1683-2013
103. Improving the dynamics of Northern Hemisphere high-latitude vegetation in the ORCHIDEE ecosystem model D. Zhu et al. 10.5194/gmd-8-2263-2015
104. A review of the major drivers of the terrestrial carbon uptake: model-based assessments, consensus, and uncertainties T. Tharammal et al. 10.1088/1748-9326/ab3012
105. A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables D. Cui et al. 10.5194/essd-13-5087-2021
106. Observing terrestrial ecosystems and the carbon cycle from space D. Schimel et al. 10.1111/gcb.12822
107. 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
108. Assessing global land cover reference datasets for different user communities N. Tsendbazar et al. 10.1016/j.isprsjprs.2014.02.008
109. Future of African terrestrial biodiversity and ecosystems under anthropogenic climate change G. Midgley & W. Bond 10.1038/nclimate2753
110. Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT E. Metz et al. 10.5194/bg-22-555-2025
111. A methodology to derive global maps of leaf traits using remote sensing and climate data Á. Moreno-Martínez et al. 10.1016/j.rse.2018.09.006
112. Do we (need to) care about canopy radiation schemes in DGVMs? Caveats and potential impacts A. Loew et al. 10.5194/bg-11-1873-2014
113. Global patterns of vegetation carbon use efficiency and their climate drivers deduced from MODIS satellite data and process-based models Y. He et al. 10.1016/j.agrformet.2018.03.009
114. The observed and model-simulated response of southern African vegetation to drought S. Lawal et al. 10.1016/j.agrformet.2019.107698
115. Use of various remote sensing land cover products for plant functional type mapping over Siberia C. Ottlé et al. 10.5194/essd-5-331-2013
116. Effects of a remotely sensed land cover dataset with high spatial resolution on the simulation of secondary air pollutants over china using the nested-grid GEOS-chem chemical transport model M. Li et al. 10.1007/s00376-013-2290-1
117. The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
118. Evaluation of CMIP5 earth system models in reproducing leaf area index and vegetation cover over the Tibetan Plateau Y. Bao et al. 10.1007/s13351-014-4023-5
119. Uncertainty in plant functional type distributions and its impact on land surface models A. Hartley et al. 10.1016/j.rse.2017.07.037
120. Impacts of land cover and climate data selection on understanding terrestrial carbon dynamics and the CO2 airborne fraction B. Poulter et al. 10.5194/bg-8-2027-2011
121. Finer Resolution Land-Cover Mapping Using Multiple Classifiers and Multisource Remotely Sensed Data in the Heihe River Basin B. Zhong et al. 10.1109/JSTARS.2015.2461453
122. Differentiating plant functional types using reflectance: which traits make the difference? T. Kattenborn et al. 10.1002/rse2.86