35 citations as recorded by crossref.

1. Biogeophysical impacts of forestation in Europe: first results from the LUCAS (Land Use and Climate Across Scales) regional climate model intercomparison E. Davin et al. https://doi.org/10.5194/esd-11-183-2020
2. New insights in the capability of climate models to simulate the impact of LUC based on temperature decomposition of paired site observations S. Vanden Broucke et al. https://doi.org/10.1002/2015JD023095
3. Adapting observationally based metrics of biogeophysical feedbacks from land cover/land use change to climate modeling L. Chen & P. Dirmeyer https://doi.org/10.1088/1748-9326/11/3/034002
4. Disentangling future effects of climate change and forest disturbance on vegetation composition and land surface properties of the boreal forest L. Layritz et al. https://doi.org/10.5194/bg-22-3635-2025
5. Variations of winter surface net shortwave radiation caused by land-use change in northern Hokkaido, Japan K. Suzuki et al. https://doi.org/10.1007/s10310-015-0478-1
6. Albedo climatology for European land surfaces retrieved from AVHRR data (1990–2014) and its spatial and temporal analysis from green‐up to vegetation senescence M. Sütterlin et al. https://doi.org/10.1002/2016JD024933
7. Surface albedo raise in the South American Chaco: Combined effects of deforestation and agricultural changes J. Houspanossian et al. https://doi.org/10.1016/j.agrformet.2016.08.015
8. Pairing FLUXNET sites to validate model representations of land-use/land-cover change L. Chen et al. https://doi.org/10.5194/hess-22-111-2018
9. The recent hiatus in global warming of the land surface: Scale‐dependent breakpoint occurrences in space and time L. Ying et al. https://doi.org/10.1002/2015GL064884
10. Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. https://doi.org/10.1029/2022JD038229
11. Reconstruction of Historical Land Surface Albedo Changes in China From 850 to 2015 Using Land Use Harmonization Data and Albedo Look‐Up Maps Y. Song et al. https://doi.org/10.1029/2021EA001799
12. Biases in the albedo sensitivity to deforestation in CMIP5 models and their impacts on the associated historical radiative forcing Q. Lejeune et al. https://doi.org/10.5194/esd-11-1209-2020
13. Limitations of WRF land surface models for simulating land use and land cover change in Sub-Saharan Africa and development of an improved model (CLM-AF v. 1.0) T. Glotfelty et al. https://doi.org/10.5194/gmd-14-3215-2021
14. Noninteger Dimension of Seasonal Land Surface Temperature (LST) S. Azizi & T. Azizi https://doi.org/10.3390/axioms12060607
15. Historical land-use-induced evapotranspiration changes estimated from present-day observations and reconstructed land-cover maps J. Boisier et al. https://doi.org/10.5194/hess-18-3571-2014
16. Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products Y. Qu et al. https://doi.org/10.3390/rs70100990
17. The Response of Radiative Forcing to High Spatiotemporally Resolved Land‐Use Change and Transition From 1982 to 2010 in China X. Jian et al. https://doi.org/10.1029/2022GL099003
18. Forests, Climate, and Public Policy: A 500-Year Interdisciplinary Odyssey G. Bonan https://doi.org/10.1146/annurev-ecolsys-121415-032359
19. Boreal forests at risk: Absence of climate perspectives in current management policies E. Ribbers et al. https://doi.org/10.1016/j.forpol.2026.103713
20. Inferring Surface Albedo Prediction Error Linked to Forest Structure at High Latitudes R. Bright et al. https://doi.org/10.1029/2018JD028293
21. Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. https://doi.org/10.5194/bg-14-4829-2017
22. Assimilating Satellite Land Surface States Data from Fengyun-4A C. Meng & H. Li https://doi.org/10.1038/s41598-019-55733-3
23. Trade‐Offs for Climate‐Smart Forestry in Europe Under Uncertain Future Climate K. Gregor et al. https://doi.org/10.1029/2022EF002796
24. Land-Surface Characteristics and Climate in West Africa: Models’ Biases and Impacts of Historical Anthropogenically-Induced Deforestation S. Sy et al. https://doi.org/10.3390/su9101917
25. Do convection-permitting models improve the representation of the impact of LUC? S. Vanden Broucke & N. Van Lipzig https://doi.org/10.1007/s00382-016-3489-5
26. Importance of Surface Roughness for the Local Biogeophysical Effects of Deforestation J. Winckler et al. https://doi.org/10.1029/2018JD030127
27. Topo‐climatic microrefugia explain the persistence of a rare endemic plant in the Alps during the last 21 millennia T. Patsiou et al. https://doi.org/10.1111/gcb.12515
28. Global analysis of radiative forcing from fire-induced shortwave albedo change G. López-Saldaña et al. https://doi.org/10.5194/bg-12-557-2015
29. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. https://doi.org/10.5194/gmd-9-2973-2016
30. Quantifying the contribution of climate change and human activities to biophysical parameters in an arid region W. Zhang et al. https://doi.org/10.1016/j.ecolind.2021.107996
31. Impacts of land cover transitions on surface temperature in China based on satellite observations Y. Zhang & S. Liang https://doi.org/10.1088/1748-9326/aa9e93
32. Detection of pre-industrial societies on exoplanets A. Lockley & D. Visioni https://doi.org/10.1017/S1473550420000361
33. Nonlocal Effects Dominate the Global Mean Surface Temperature Response to the Biogeophysical Effects of Deforestation J. Winckler et al. https://doi.org/10.1029/2018GL080211
34. Climate–Human–Land Interactions: A Review of Major Modelling Approaches M. Michetti & M. Zampieri https://doi.org/10.3390/land3030793
35. The contribution of China’s emissions to global climate forcing B. Li et al. https://doi.org/10.1038/nature17165