121 citations as recorded by crossref.

1. Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications C. Müller et al. https://doi.org/10.5194/gmd-10-1403-2017
2. Evidence for a weakening strength of temperature-corn yield relation in the United States during 1980–2010 G. Leng https://doi.org/10.1016/j.scitotenv.2017.06.211
3. The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-13-1305-2022
4. Disentangling the effects of land‐use change, climate and CO2 on projected future European habitat types V. Lehsten et al. https://doi.org/10.1111/geb.12291
5. Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index – Part 2: Seasonal trough, peak, and amplitude D. Peano et al. https://doi.org/10.5194/bg-22-7117-2025
6. The Possible Impacts of Different Global Warming Levels on Major Crops in Egypt G. Gamal et al. https://doi.org/10.3390/atmos12121589
7. Consistent negative response of US crops to high temperatures in observations and crop models B. Schauberger et al. https://doi.org/10.1038/ncomms13931
8. Management-induced changes in soil organic carbon on global croplands K. Karstens et al. https://doi.org/10.5194/bg-19-5125-2022
9. Vegetation demographics in Earth System Models: A review of progress and priorities R. Fisher et al. https://doi.org/10.1111/gcb.13910
10. Global ecological restoration framework trading off carbon sequestration and water consumption Q. Han et al. https://doi.org/10.1007/s11430-025-1729-3
11. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. https://doi.org/10.5194/bg-16-3883-2019
12. Adaptation of global land use and management intensity to changes in climate and atmospheric carbon dioxide P. Alexander et al. https://doi.org/10.1111/gcb.14110
13. Future supply and demand of net primary production in the Sahel F. Sallaba et al. https://doi.org/10.5194/esd-8-1191-2017
14. Recent changes in county-level corn yield variability in the United States from observations and crop models G. Leng https://doi.org/10.1016/j.scitotenv.2017.07.017
15. Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): implementation and evaluation of simulations for Europe M. Lindeskog et al. https://doi.org/10.5194/gmd-14-6071-2021
16. Assessing the pasturelands and livestock dynamics in Brazil, from 1985 to 2017: A novel approach based on high spatial resolution imagery and Google Earth Engine cloud computing L. Parente et al. https://doi.org/10.1016/j.rse.2019.111301
17. Projected land-use change emissions surpass climate change-induced carbon sinks in Sub-Saharan African biomes D. Sakala & M. Santos https://doi.org/10.1016/j.gloenvcha.2025.103039
18. Stratospheric aerosol climate intervention could reduce crop nutritional value B. Clark et al. https://doi.org/10.1088/1748-9326/ae1151
19. Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions A. Bayer et al. https://doi.org/10.5194/esd-8-91-2017
20. Disentangling the separate and confounding effects of temperature and precipitation on global maize yield using machine learning, statistical and process crop models X. Yin et al. https://doi.org/10.1088/1748-9326/ac5716
21. Internal hydroclimate variability and the decline of the Classic Maya Civilisation K. Power et al. https://doi.org/10.1016/j.quascirev.2026.109974
22. The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. https://doi.org/10.5194/gmd-15-2973-2022
23. A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios H. Kim et al. https://doi.org/10.5194/gmd-11-4537-2018
24. A cross-scale modeling framework for decision support on elephant management in Kruger National Park, South Africa T. Clemen et al. https://doi.org/10.1016/j.ecoinf.2021.101266
25. A regional assessment of land‐based carbon mitigation potentials: Bioenergy, BECCS, reforestation, and forest management A. Krause et al. https://doi.org/10.1111/gcbb.12675
26. LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model V. Lehsten et al. https://doi.org/10.5194/gmd-12-893-2019
27. Effect of climate data on simulated carbon and nitrogen balances for Europe J. Blanke et al. https://doi.org/10.1002/2015JG003216
28. Modelling cropping periods of grain crops at the global scale S. Minoli et al. https://doi.org/10.1016/j.gloplacha.2018.12.013
29. Differential Vegetation Feedback on the Global Land Monsoon System during the Mid-Holocene and Last Interglacial Z. Wang et al. https://doi.org/10.1007/s00376-024-4284-6
30. Including vegetation dynamics in an atmospheric chemistry-enabled general circulation model: linking LPJ-GUESS (v4.0) with the EMAC modelling system (v2.53) M. Forrest et al. https://doi.org/10.5194/gmd-13-1285-2020
31. Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa J. Ma et al. https://doi.org/10.5194/bg-19-2145-2022
32. Understanding Drivers of Land Use and Land Cover Change in Africa: A Review E. Assede et al. https://doi.org/10.1007/s40823-023-00087-w
33. Food supply and bioenergy production within the global cropland planetary boundary R. Henry et al. https://doi.org/10.1371/journal.pone.0194695
34. Planting suitability of China’s main grain crops under future climate change T. Lv et al. https://doi.org/10.1016/j.fcr.2023.109112
35. Estimating the Global Influence of Cover Crops on Ecosystem Service Indicators in Croplands With the LPJ‐GUESS Model J. Ma et al. https://doi.org/10.1029/2022EF003142
36. Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050 H. Pereira et al. https://doi.org/10.1126/science.adn3441
37. The impacts of reduced ice sheets, vegetation, and elevated CO 2 on future Arctic climates K. Power & Q. Zhang https://doi.org/10.1080/15230430.2024.2433860
38. Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments R. Prestele et al. https://doi.org/10.5194/esd-8-369-2017
39. Simulated carbon emissions from land-use change are substantially enhanced by accounting for agricultural management T. Pugh et al. https://doi.org/10.1088/1748-9326/10/12/124008
40. Potential land use adjustment for future climate change adaptation in revegetated regions S. Peng & Z. Li https://doi.org/10.1016/j.scitotenv.2018.05.194
41. The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0) J. Franke et al. https://doi.org/10.5194/gmd-13-3995-2020
42. Impacts of climate mitigation strategies in the energy sector on global land use and carbon balance K. Engström et al. https://doi.org/10.5194/esd-8-773-2017
43. Recent changes in county-level maize production in the United States: Spatial-temporal patterns, climatic drivers and the implications for crop modelling G. Leng et al. https://doi.org/10.1016/j.scitotenv.2019.06.026
44. Nitrogen feedbacks increase future terrestrial ecosystem carbon uptake in an individual-based dynamic vegetation model D. Wårlind et al. https://doi.org/10.5194/bg-11-6131-2014
45. Assessment of Crop Yield in China Simulated by Thirteen Global Gridded Crop Models D. Yin et al. https://doi.org/10.1007/s00376-023-2234-3
46. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. https://doi.org/10.5194/gmd-12-4309-2019
47. Predicting planting suitability of globally important grain crops using a hybrid model Y. Ding et al. https://doi.org/10.1016/j.eja.2025.127754
48. Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty H. Tian et al. https://doi.org/10.1111/gcb.14514
49. Vegetation–climate feedbacks modulate rainfall patterns in Africa under future climate change M. Wu et al. https://doi.org/10.5194/esd-7-627-2016
50. Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework K. Engström et al. https://doi.org/10.5194/esd-7-893-2016
51. Advances in regional-scale crop growth and associated process modeling W. Liu et al. https://doi.org/10.1007/s11430-024-1477-2
52. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. https://doi.org/10.5194/bg-22-323-2025
53. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
54. Modelling the response of yields and tissue C : N to changes in atmospheric CO2 and N management in the main wheat regions of western Europe S. Olin et al. https://doi.org/10.5194/bg-12-2489-2015
55. 区域尺度作物生长及伴生过程模型研究进展 文. 刘 et al. https://doi.org/10.1360/SSTe-2024-0018
56. Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China Q. Guan et al. https://doi.org/10.5194/bg-20-1635-2023
57. Multimodel Analysis of Future Land Use and Climate Change Impacts on Ecosystem Functioning A. Krause et al. https://doi.org/10.1029/2018EF001123
58. Carbon restoration potential on global land under water resource constraints S. Peng et al. https://doi.org/10.1038/s44221-024-00323-5
59. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
60. Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model L. Calle & B. Poulter https://doi.org/10.5194/gmd-14-2575-2021
61. Models meet data: Challenges and opportunities in implementing land management in Earth system models J. Pongratz et al. https://doi.org/10.1111/gcb.13988
62. Land degradation and climate change: Global impact on wheat yields M. Raimondo et al. https://doi.org/10.1002/ldr.3699
63. Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285) J. Ma et al. https://doi.org/10.5194/gmd-15-815-2022
64. Implications of accounting for management intensity on carbon and nitrogen balances of European grasslands J. Blanke et al. https://doi.org/10.1371/journal.pone.0201058
65. The challenge of comparing pollen-based quantitative vegetation reconstructions with outputs from vegetation models – a European perspective A. Dallmeyer et al. https://doi.org/10.5194/cp-19-1531-2023
66. Changes in crop yields and their variability at different levels of global warming S. Ostberg et al. https://doi.org/10.5194/esd-9-479-2018
67. A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis V. Haverd et al. https://doi.org/10.5194/gmd-11-2995-2018
68. Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies R. Schaldach et al. https://doi.org/10.1038/s44168-026-00353-7
69. Temperature rising would slow down tropical forest dynamic in the Guiana Shield M. Aubry-Kientz et al. https://doi.org/10.1038/s41598-019-46597-8
70. Trade-offs between plant species richness and carbon storage in the context of afforestation – Examples from afforestation scenarios in the Mulde Basin, Germany S. Lautenbach et al. https://doi.org/10.1016/j.ecolind.2016.09.035
71. Legacy Effects from Historical Environmental Changes Dominate Future Terrestrial Carbon Uptake A. Krause et al. https://doi.org/10.1029/2020EF001674
72. Mimicking biochar-albedo feedback in complex Mediterranean agricultural landscapes E. Bozzi et al. https://doi.org/10.1088/1748-9326/10/8/084014
73. Global models of human decision-making for land-based mitigation and adaptation assessment A. Arneth et al. https://doi.org/10.1038/nclimate2250
74. The interactive global fire module pyrE (v1.0) K. Mezuman et al. https://doi.org/10.5194/gmd-13-3091-2020
75. Environmental Services: A New Approach Toward Addressing Sustainable Development Goals in Sub-Saharan Africa J. Knight https://doi.org/10.3389/fsufs.2021.687863
76. Modelling crop yield and harvest index: the role of carbon assimilation and allocation parameters H. Camargo-Alvarez et al. https://doi.org/10.1007/s40808-022-01625-x
77. Global change pressures on soils from land use and management P. Smith et al. https://doi.org/10.1111/gcb.13068
78. Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. https://doi.org/10.5194/bg-14-4829-2017
79. Soil carbon management in large-scale Earth system modelling: implications for crop yields and nitrogen leaching S. Olin et al. https://doi.org/10.5194/esd-6-745-2015
80. Changes in Land Cover and Management Affect Heat Stress and Labor Capacity A. Orlov et al. https://doi.org/10.1029/2022EF002909
81. Diverging land-use projections cause large variability in their impacts on ecosystems and related indicators for ecosystem services A. Bayer et al. https://doi.org/10.5194/esd-12-327-2021
82. Impacts of future agricultural change on ecosystem service indicators S. Rabin et al. https://doi.org/10.5194/esd-11-357-2020
83. Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation S. Minoli et al. https://doi.org/10.1029/2018EF001130
84. LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. https://doi.org/10.5194/gmd-15-6709-2022
85. The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-14-629-2023
86. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. https://doi.org/10.5194/gmd-10-1175-2017
87. Modelling feedbacks between human and natural processes in the land system D. Robinson et al. https://doi.org/10.5194/esd-9-895-2018
88. Implications of climate mitigation for future agricultural production C. Müller et al. https://doi.org/10.1088/1748-9326/10/12/125004
89. Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1) J. Ma et al. https://doi.org/10.5194/gmd-18-3131-2025
90. Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al. https://doi.org/10.5194/gmd-16-315-2023
91. Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future G. Leng & J. Hall https://doi.org/10.1016/j.scitotenv.2018.10.434
92. The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) J. Elliott et al. https://doi.org/10.5194/gmd-8-261-2015
93. The role of the land surface for surface climate: results from a stepwise land–atmosphere coupling experiment W. May https://doi.org/10.1007/s00382-025-07602-1
94. Impacts of climate change on biodiversity and ecosystems in Bavaria: a sectoral analysis S. Rubanschi et al. https://doi.org/10.1007/s10113-026-02586-y
95. Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences B. Ringeval et al. https://doi.org/10.5194/gmd-14-1639-2021
96. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
97. 权衡碳固存和耗水量的全球生态恢复框架 庆. 韩 et al. https://doi.org/10.1360/N072025-0308
98. Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0) J. Oberpriller et al. https://doi.org/10.5194/gmd-15-6495-2022
99. Incorporating climate change into ecosystem service assessments and decisions: a review R. Runting et al. https://doi.org/10.1111/gcb.13457
100. Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al. https://doi.org/10.5194/bg-21-5321-2024
101. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. https://doi.org/10.1038/s41597-019-0023-8
102. The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0) J. Franke et al. https://doi.org/10.5194/gmd-13-2315-2020
103. LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al. https://doi.org/10.5194/gmd-11-1343-2018
104. Irrigation, damming, and streamflow fluctuations of the Yellow River Z. Yin et al. https://doi.org/10.5194/hess-25-1133-2021
105. Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching J. Blanke et al. https://doi.org/10.1016/j.agee.2017.01.038
106. Carbon sequestration in different urban vegetation types in Southern Finland L. Thölix et al. https://doi.org/10.5194/bg-22-725-2025
107. Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev https://doi.org/10.1134/S0001433825701166
108. How Does Climate Change Influence the Economic Value of Ecosystem Services in Savanna Rangelands? S. Scheiter et al. https://doi.org/10.1016/j.ecolecon.2018.11.015
109. Pollen, People and Place: Multidisciplinary Perspectives on Ecosystem Change at Amboseli, Kenya E. Githumbi et al. https://doi.org/10.3389/feart.2017.00113
110. Soil carbon response to land-use change: evaluation of a global vegetation model using observational meta-analyses S. Nyawira et al. https://doi.org/10.5194/bg-13-5661-2016
111. Comparison of simulations from a state-of-the-art dynamic global vegetation model (LPJ-GUESS) driven by low- and high-resolution climate data D. Otryakhin et al. https://doi.org/10.5194/gmd-18-9101-2025
112. Accounting for interannual variability in agricultural intensification: The potential of crop selection in Sub-Saharan Africa P. Bodin et al. https://doi.org/10.1016/j.agsy.2016.07.012
113. Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets R. Wartenburger et al. https://doi.org/10.1088/1748-9326/aac4bb
114. A multi-model analysis of teleconnected crop yield variability in a range of cropping systems M. Heino et al. https://doi.org/10.5194/esd-11-113-2020
115. Observational constraint of process crop models suggests higher risks for global maize yield under climate change X. Yin & G. Leng https://doi.org/10.1088/1748-9326/ac7ac7
116. Implementing a process-based representation of soil water movement in a second-generation dynamic vegetation model: application to dryland ecosystems (LPJ-GUESS-RE v1.0) W. Verbruggen et al. https://doi.org/10.5194/gmd-18-6623-2025
117. Pathways to bridge the biophysical realism gap in ecosystem services mapping approaches S. Lavorel et al. https://doi.org/10.1016/j.ecolind.2016.11.015
118. Spatial suitability assessment of restored vegetation and sustainable restoration strategies in China J. Nan et al. https://doi.org/10.1016/j.geosus.2026.100449
119. Spatial and temporal uncertainty of crop yield aggregations V. Porwollik et al. https://doi.org/10.1016/j.eja.2016.08.006
120. Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. https://doi.org/10.5194/bg-18-2405-2021
121. Impacts of land-use history on the recovery of ecosystems after agricultural abandonment A. Krause et al. https://doi.org/10.5194/esd-7-745-2016