48 citations as recorded by crossref.

1. Consistent Temperature-Dependent Patterns of Leaf Lifespan Across Spatial and Temporal Gradients for Deciduous Trees in Europe X. Xia et al. https://doi.org/10.2139/ssrn.3973930
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4. Organizing principles for vegetation dynamics O. Franklin et al. https://doi.org/10.1038/s41477-020-0655-x
5. Phenological trends and associated climate drivers of a tree community in lowland dipterocarp forest, Western Ghats, India D. Menon et al. https://doi.org/10.1007/s00484-024-02802-6
6. Which processes drive observed variations of HCHO columns over India? L. Surl et al. https://doi.org/10.5194/acp-18-4549-2018
7. Forest carbon allocation modelling under climate change K. Merganičová et al. https://doi.org/10.1093/treephys/tpz105
8. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al. https://doi.org/10.5194/bg-11-7025-2014
9. Foliar C/N stoichiometry in urban forest trees on a global scale H. Wei & X. He https://doi.org/10.1007/s11676-020-01188-6
10. Strong impacts of autumn phenology on grassland ecosystem water use efficiency on the Tibetan Plateau M. Cheng et al. https://doi.org/10.1016/j.ecolind.2021.107682
11. Droughts and heatwaves in the Western Mediterranean: impact on vegetation and wildfires using the coupled WRF-ORCHIDEE regional model (RegIPSL) A. Guion et al. https://doi.org/10.1007/s00382-021-05938-y
12. Influence of climatic factors on tree growth in riparian forests in the humid and dry savannas of the Volta basin, Ghana E. Boakye et al. https://doi.org/10.1007/s00468-016-1401-x
13. Codominant water control on global interannual variability and trends in land surface phenology and greenness M. Forkel et al. https://doi.org/10.1111/gcb.12950
14. Cryptic phenology in plants: Case studies, implications, and recommendations L. Albert et al. https://doi.org/10.1111/gcb.14759
15. The effect of using the plant functional type paradigm on a data-constrained global phenology model S. Caldararu et al. https://doi.org/10.5194/bg-13-925-2016
16. Ion association in water solution of soil and vadose zone of chestnut saline solonetz as a driver of terrestrial carbon sink A. Batukaev et al. https://doi.org/10.5194/se-7-415-2016
17. 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
18. 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
19. Relaxation of the leaf economics spectrum within and across quaking aspen Populus tremuloides genotypes J. Rieksta et al. https://doi.org/10.1002/oik.11279
20. Synchrony in the phenologies of fine roots and leaves of Vitellaria paradoxa in different land uses of Burkina Faso P. Bazié et al. https://doi.org/10.1007/s10457-017-0135-0
21. New approach to soil management focusing on soil health and air quality: one earth one life (critical review) V. Kalinitchenko et al. https://doi.org/10.1007/s10653-023-01550-7
22. Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest E. Kearsley et al. https://doi.org/10.1002/pei3.10136
23. Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets N. Corak et al. https://doi.org/10.5194/hess-28-1827-2024
24. Whole‐plant optimality predicts changes in leaf nitrogen under variable CO2 and nutrient availability S. Caldararu et al. https://doi.org/10.1111/nph.16327
25. Monitoring autumn leaf phenology at the individual tree scale using PlanetScope satellite imagery and ground-based observations P. Kankong et al. https://doi.org/10.1007/s44396-025-00018-5
26. A 170 year spring phenology index of plants in eastern China Q. Ge et al. https://doi.org/10.1002/2013JG002565
27. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al. https://doi.org/10.5194/bg-12-7185-2015
28. Coupled whole‐tree optimality and xylem hydraulics explain dynamic biomass partitioning A. Potkay et al. https://doi.org/10.1111/nph.17242
29. Global patterns of drought deciduous phenology in semi‐arid and savanna‐type ecosystems K. Dahlin et al. https://doi.org/10.1111/ecog.02443
30. Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros https://doi.org/10.1016/j.ecolmodel.2018.01.011
31. 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
32. Applying the Concept of Ecohydrological Equilibrium to Predict Steady State Leaf Area Index J. Yang et al. https://doi.org/10.1029/2017MS001169
33. Temporal Dynamics of Canopy Properties and Carbon and Water Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. https://doi.org/10.3390/f15050801
34. Global linkages between teleconnection patterns and the terrestrial biosphere K. Dahlin & T. Ault https://doi.org/10.1016/j.jag.2018.02.017
35. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. https://doi.org/10.1007/s10712-019-09506-2
36. Reliable, robust and realistic: the three R's of next-generation land-surface modelling I. Prentice et al. https://doi.org/10.5194/acp-15-5987-2015
37. Drought shortens subtropical understory growing season by advancing leaf senescence H. Sun et al. https://doi.org/10.1111/gcb.17304
38. Probing the past 30-year phenology trend of US deciduous forests X. Yue et al. https://doi.org/10.5194/bg-12-4693-2015
39. Critical classification parameters linking species to Plant Functional Type in African ecosystems E. Akhabue et al. https://doi.org/10.1038/s41597-026-06728-z
40. Variability of phenology and fluxes of water and carbon with observed and simulated soil moisture in the Ent Terrestrial Biosphere Model (Ent TBM version 1.0.1.0.0) Y. Kim et al. https://doi.org/10.5194/gmd-8-3837-2015
41. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. https://doi.org/10.1111/nph.17558
42. Consistent temperature-dependent patterns of leaf lifespan across spatial and temporal gradients for deciduous trees in Europe X. Xia et al. https://doi.org/10.1016/j.scitotenv.2022.153175
43. Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. https://doi.org/10.5194/bg-20-2455-2023
44. Seasonal trends of Amazonian rainforest phenology, net primary productivity, and carbon allocation C. Girardin et al. https://doi.org/10.1002/2015GB005270
45. Climate drivers of the Amazon forest greening F. Wagner et al. https://doi.org/10.1371/journal.pone.0180932
46. Land surface phenology: What do we really ‘see’ from space? D. Helman https://doi.org/10.1016/j.scitotenv.2017.07.237
47. Leafing Patterns and Drivers across Seasonally Dry Tropical Communities B. Alberton et al. https://doi.org/10.3390/rs11192267
48. Modeling phenological responses of Inner Mongolia grassland species to regional climate change Q. Li et al. https://doi.org/10.1088/1748-9326/11/1/015002