49 citations as recorded by crossref.

1. Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. https://doi.org/10.5194/bg-15-187-2018
2. Global Variability of Simulated and Observed Vegetation Growing Season D. Peano et al. https://doi.org/10.1029/2018JG004881
3. A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda https://doi.org/10.1029/2019MS001806
4. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling K. Haynes et al. https://doi.org/10.1029/2018MS001541
5. Impacts of shifting phenology on boundary layer dynamics in North America in the CESM X. Li et al. https://doi.org/10.1016/j.agrformet.2022.109286
6. The nonlinear drought response and its critical threshold of Stipa krylovii roshev. typical steppe phenology E. Liu et al. https://doi.org/10.1007/s00484-025-02958-9
7. The GLACE-Hydrology Experiment: Effects of Land–Atmosphere Coupling on Soil Moisture Variability and Predictability S. Kumar et al. https://doi.org/10.1175/JCLI-D-19-0598.1
8. Responses of surface ozone air quality to anthropogenic nitrogen deposition in the Northern Hemisphere Y. Zhao et al. https://doi.org/10.5194/acp-17-9781-2017
9. Global linkages between teleconnection patterns and the terrestrial biosphere K. Dahlin & T. Ault https://doi.org/10.1016/j.jag.2018.02.017
10. Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. https://doi.org/10.1126/sciadv.abq7827
11. Global critical soil moisture thresholds of plant water stress Z. Fu et al. https://doi.org/10.1038/s41467-024-49244-7
12. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. https://doi.org/10.1029/2018MS001583
13. Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) R. Fisher et al. https://doi.org/10.5194/gmd-8-3593-2015
14. A Comparison of Land Surface Phenology in the Northern Hemisphere Derived from Satellite Remote Sensing and the Community Land Model X. Li et al. https://doi.org/10.1175/JHM-D-21-0169.1
15. Modeling annual grassland phenology along the central coast of California R. Bart et al. https://doi.org/10.1002/ecs2.1875
16. Potential of using surface temperature data to benchmark Sentinel-2-based forest phenometrics in boreal Finland T. Majasalmi & M. Rautiainen https://doi.org/10.1186/s13595-022-01130-2
17. Diverging Northern Hemisphere Trends in Meteorological Versus Ecological Indicators of Spring Onset in CMIP6 X. Li et al. https://doi.org/10.1029/2023GL102833
18. Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. https://doi.org/10.1029/2021JG006400
19. Environmental controls on Landsat‐derived phenoregions across an East African megatransect G. Desanker et al. https://doi.org/10.1002/ecs2.3143
20. Drivers of ecosystem soil water stress response revealed by critical soil moisture thresholds L. Lan et al. https://doi.org/10.1016/j.ecoinf.2025.103503
21. Urbanization Impacts on Vegetation Phenology in China Q. Ren et al. https://doi.org/10.3390/rs10121905
22. 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
23. New Phytologist: bridging the ‘plant function – climate modelling divide’ O. Atkin https://doi.org/10.1111/nph.13876
24. Simulated annual changes in plant functional types and their responses to climate change on the northern Tibetan Plateau L. Cuo et al. https://doi.org/10.5194/bg-13-3533-2016
25. Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison X. Lu et al. https://doi.org/10.1016/j.scitotenv.2018.06.269
26. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4) K. Haynes et al. https://doi.org/10.1029/2018MS001540
27. Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data X. Li et al. https://doi.org/10.1016/j.scitotenv.2017.06.245
28. Evaluation and modification of ELM seasonal deciduous phenology against observations in a southern boreal peatland forest L. Meng et al. https://doi.org/10.1016/j.agrformet.2021.108556
29. Influence of dynamic vegetation on carbon-nitrogen cycle feedback in the Community Land Model (CLM4) K. Sakaguchi et al. https://doi.org/10.1088/1748-9326/aa51d9
30. Beyond leaf habit: generalities in plant function across 97 tropical dry forest tree species G. Vargas G. et al. https://doi.org/10.1111/nph.17584
31. Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems N. MacBean et al. https://doi.org/10.1088/1748-9326/ac1a38
32. Global patterns of drought deciduous phenology in semi‐arid and savanna‐type ecosystems K. Dahlin et al. https://doi.org/10.1111/ecog.02443
33. 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. https://doi.org/10.5194/gmd-15-8153-2022
34. Ảnh hưởng của khô hạn đến tổng sản lượng sơ cấp của rừng rụng lá-Trường hợp nghiên cứu tại tỉnh Ratchaburi, Thái Lan P. Diễm et al. https://doi.org/10.22144/ctu.jsi.2019.144
35. Diagnosing evapotranspiration responses to water deficit across biomes using deep learning F. Giardina et al. https://doi.org/10.1111/nph.19197
36. Plant community composition alters moisture and temperature sensitivity of soil respiration in semi-arid shrubland M. Mauritz & D. Lipson https://doi.org/10.1007/s00442-021-04961-4
37. Trade‐off between spring phenological sensitivities to temperature and precipitation across species and space in alpine grasslands over the Qinghai–Tibetan Plateau X. Li et al. https://doi.org/10.1111/nph.70008
38. Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities W. Smith et al. https://doi.org/10.1016/j.rse.2019.111401
39. Invasion and drought alter phenological sensitivity and synergistically lower ecosystem production E. Esch et al. https://doi.org/10.1002/ecy.2802
40. Deciduousness in tropical trees and its potential as indicator of climate change: A review K. Singh & C. Kushwaha https://doi.org/10.1016/j.ecolind.2016.04.011
41. Process-Based Models of Phenology for Plants and Animals I. Chuine & J. Régnière https://doi.org/10.1146/annurev-ecolsys-110316-022706
42. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. https://doi.org/10.1029/2018MS001362
43. A fiery wake-up call for climate science B. Sanderson & R. Fisher https://doi.org/10.1038/s41558-020-0707-2
44. Implementing a New Rubber Plant Functional Type in the Community Land Model (CLM5) Improves Accuracy of Carbon and Water Flux Estimation A. Ali et al. https://doi.org/10.3390/land11020183
45. Integrated Evaluation of Vegetation Drought Stress through Satellite Remote Sensing D. Avetisyan et al. https://doi.org/10.3390/f12080974
46. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. https://doi.org/10.5194/hess-27-4087-2023
47. Harnessing Bacillus safensis as biofertilizer for sustainable drought alleviation in Brassica juncea L N. Bibi et al. https://doi.org/10.1016/j.bcab.2024.103388
48. Challenging a Global Land Surface Model in a Local Socio-Environmental System K. Dahlin et al. https://doi.org/10.3390/land9100398
49. Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations S. Lawal et al. https://doi.org/10.5194/hess-26-2045-2022