125 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. Holocene ocean-atmosphere coupling and Mediterranean sensitivity to Atlantic circulation: Lessons from the Late Bronze Age collapse K. Power & Q. Zhang https://doi.org/10.1126/sciadv.aed5439
7. The Possible Impacts of Different Global Warming Levels on Major Crops in Egypt G. Gamal et al. https://doi.org/10.3390/atmos12121589
8. Consistent negative response of US crops to high temperatures in observations and crop models B. Schauberger et al. https://doi.org/10.1038/ncomms13931
9. Management-induced changes in soil organic carbon on global croplands K. Karstens et al. https://doi.org/10.5194/bg-19-5125-2022
10. Comparing the carbon benefits of forest harvest and regrowth alternatives in Norway by integrating carbon dynamics in the forest and harvested wood products J. Forero Urrego et al. https://doi.org/10.1080/02827581.2026.2676269
11. Vegetation demographics in Earth System Models: A review of progress and priorities R. Fisher et al. https://doi.org/10.1111/gcb.13910
12. Global ecological restoration framework trading off carbon sequestration and water consumption Q. Han et al. https://doi.org/10.1007/s11430-025-1729-3
13. 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
14. 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
15. Future supply and demand of net primary production in the Sahel F. Sallaba et al. https://doi.org/10.5194/esd-8-1191-2017
16. 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
17. 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
18. Large-scale wind farms in Xinjiang would promote regional greening by shifting precipitation X. Liu et al. https://doi.org/10.1088/1748-9326/ae7fa2
19. 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
20. 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
21. Stratospheric aerosol climate intervention could reduce crop nutritional value B. Clark et al. https://doi.org/10.1088/1748-9326/ae1151
22. 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
23. 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
24. Internal hydroclimate variability and the decline of the Classic Maya Civilisation K. Power et al. https://doi.org/10.1016/j.quascirev.2026.109974
25. 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
26. 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
27. 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
28. 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
29. 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
30. Effect of climate data on simulated carbon and nitrogen balances for Europe J. Blanke et al. https://doi.org/10.1002/2015JG003216
31. Modelling cropping periods of grain crops at the global scale S. Minoli et al. https://doi.org/10.1016/j.gloplacha.2018.12.013
32. 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
33. 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
34. 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
35. 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
36. Food supply and bioenergy production within the global cropland planetary boundary R. Henry et al. https://doi.org/10.1371/journal.pone.0194695
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. Advances in regional-scale crop growth and associated process modeling W. Liu et al. https://doi.org/10.1007/s11430-024-1477-2
55. 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
56. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
57. 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
58. 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
59. 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
60. Multimodel Analysis of Future Land Use and Climate Change Impacts on Ecosystem Functioning A. Krause et al. https://doi.org/10.1029/2018EF001123
61. Carbon restoration potential on global land under water resource constraints S. Peng et al. https://doi.org/10.1038/s44221-024-00323-5
62. 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
63. 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
64. 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
65. Land degradation and climate change: Global impact on wheat yields M. Raimondo et al. https://doi.org/10.1002/ldr.3699
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. Winter wheat yield responses to extreme heat in the North China Plain: GGCMI-AgMIP model evaluation and a heat-stress phenology improvement in JULES-crop L. You et al. https://doi.org/10.1016/j.agrformet.2026.111404
73. 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
74. 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
75. Legacy Effects from Historical Environmental Changes Dominate Future Terrestrial Carbon Uptake A. Krause et al. https://doi.org/10.1029/2020EF001674
76. Mimicking biochar-albedo feedback in complex Mediterranean agricultural landscapes E. Bozzi et al. https://doi.org/10.1088/1748-9326/10/8/084014
77. Global models of human decision-making for land-based mitigation and adaptation assessment A. Arneth et al. https://doi.org/10.1038/nclimate2250
78. The interactive global fire module pyrE (v1.0) K. Mezuman et al. https://doi.org/10.5194/gmd-13-3091-2020
79. Environmental Services: A New Approach Toward Addressing Sustainable Development Goals in Sub-Saharan Africa J. Knight https://doi.org/10.3389/fsufs.2021.687863
80. 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
81. Global change pressures on soils from land use and management P. Smith et al. https://doi.org/10.1111/gcb.13068
82. Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. https://doi.org/10.5194/bg-14-4829-2017
83. 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
84. Changes in Land Cover and Management Affect Heat Stress and Labor Capacity A. Orlov et al. https://doi.org/10.1029/2022EF002909
85. 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
86. Impacts of future agricultural change on ecosystem service indicators S. Rabin et al. https://doi.org/10.5194/esd-11-357-2020
87. 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
88. 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
89. 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
90. 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
91. Modelling feedbacks between human and natural processes in the land system D. Robinson et al. https://doi.org/10.5194/esd-9-895-2018
92. Implications of climate mitigation for future agricultural production C. Müller et al. https://doi.org/10.1088/1748-9326/10/12/125004
93. 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
94. 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
95. 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
96. 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
97. 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
98. 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
99. 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
100. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
101. 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
102. 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
103. Incorporating climate change into ecosystem service assessments and decisions: a review R. Runting et al. https://doi.org/10.1111/gcb.13457
104. Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al. https://doi.org/10.5194/bg-21-5321-2024
105. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. https://doi.org/10.1038/s41597-019-0023-8
106. 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
107. 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
108. Irrigation, damming, and streamflow fluctuations of the Yellow River Z. Yin et al. https://doi.org/10.5194/hess-25-1133-2021
109. 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
110. Carbon sequestration in different urban vegetation types in Southern Finland L. Thölix et al. https://doi.org/10.5194/bg-22-725-2025
111. 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
112. 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
113. Pollen, People and Place: Multidisciplinary Perspectives on Ecosystem Change at Amboseli, Kenya E. Githumbi et al. https://doi.org/10.3389/feart.2017.00113
114. 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
115. 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
116. 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
117. 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
118. 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
119. 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
120. 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
121. 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
122. 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
123. Spatial and temporal uncertainty of crop yield aggregations V. Porwollik et al. https://doi.org/10.1016/j.eja.2016.08.006
124. 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
125. 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