56 citations as recorded by crossref.

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3. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
4. Global distribution of groundwater-vegetation spatial covariation S. Koirala et al. 10.1002/2017GL072885
5. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
6. Long-Term Analysis of the Variability of Agronomic Characters in the VIR Oat Germplasm Collection in Central Black Soil Region of Russia I. Loskutov et al. 10.3390/agronomy11030423
7. Codominant water control on global interannual variability and trends in land surface phenology and greenness M. Forkel et al. 10.1111/gcb.12950
8. No Consistent Evidence for Advancing or Delaying Trends in Spring Phenology on the Tibetan Plateau X. Wang et al. 10.1002/2017JG003949
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10. Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales J. Claessen et al. 10.5194/bg-16-4851-2019
11. Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests B. Sakschewski et al. 10.5194/bg-18-4091-2021
12. Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros 10.1016/j.ecolmodel.2018.01.011
13. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al. 10.1029/2018RG000608
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15. The integration of empirical, remote sensing and modelling approaches enhances insight in the role of biodiversity in climate change mitigation by tropical forests M. van der Sande et al. 10.1016/j.cosust.2017.01.016
16. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
17. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
18. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4) K. Haynes et al. 10.1029/2018MS001540
19. Complexity revealed in the greening of the Arctic I. Myers-Smith et al. 10.1038/s41558-019-0688-1
20. Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
21. Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. 10.5194/esd-12-1037-2021
22. Modeling phenological controls on carbon dynamics in dryland sagebrush ecosystems K. Renwick et al. 10.1016/j.agrformet.2019.04.003
23. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al. 10.5194/gmd-14-3361-2021
24. Climate-induced hysteresis of the tropical forest in a fire-enabled Earth system model M. Drüke et al. 10.1140/epjs/s11734-021-00157-2
25. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
26. An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model J. Kolassa et al. 10.1029/2020MS002083
27. Trade-offs for food production, nature conservation and climate limit the terrestrial carbon dioxide removal potential L. Boysen et al. 10.1111/gcb.13745
28. Modelling the Arctic taiga-tundra ecotone using ALOS PALSAR and optical earth observation data C. Walther et al. 10.1016/j.jag.2019.05.008
29. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al. 10.5194/bg-12-7185-2015
30. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
31. CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. 10.5194/gmd-14-4117-2021
32. A novel bias correction methodology for climate impact simulations S. Sippel et al. 10.5194/esd-7-71-2016
33. Modeling leaf senescence of deciduous tree species in Europe Q. Liu et al. 10.1111/gcb.15132
34. The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc) V. Porwollik et al. 10.5194/bg-19-957-2022
35. Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al. 10.1088/1748-9326/aa7398
36. Modeling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model M. Braakhekke et al. 10.5194/esd-10-617-2019
37. Impacts devalue the potential of large-scale terrestrial CO 2 removal through biomass plantations L. Boysen et al. 10.1088/1748-9326/11/9/095010
38. New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression K. Ichii et al. 10.1002/2016JG003640
39. Simulating functional diversity of European natural forests along climatic gradients K. Thonicke et al. 10.1111/jbi.13809
40. Soil Respiration Phenology Improves Modeled Phase of Terrestrial net Ecosystem Exchange in Northern Hemisphere K. Endsley et al. 10.1029/2021MS002804
41. Role of CO<sub>2</sub>, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: a multimodel analysis F. Zhao et al. 10.5194/bg-13-5121-2016
42. Resistance to high temperatures of apple varieties breeding of I. V. Michurin Federal Scientific Center those are immune to scab N. Saveleva et al. 10.31676/2073-4948-2020-60-68-73
43. Process-Based Models of Phenology for Plants and Animals I. Chuine & J. Régnière 10.1146/annurev-ecolsys-110316-022706
44. LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation S. Schaphoff et al. 10.5194/gmd-11-1377-2018
45. Global cotton production under climate change – Implications for yield and water consumption Y. Jans et al. 10.5194/hess-25-2027-2021
46. Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology Q. Liu et al. 10.1111/gcb.13311
47. Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0) W. von Bloh et al. 10.5194/gmd-11-2789-2018
48. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
49. A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO<sub>2</sub> to estimate benchmarks and assess model bias L. Calle et al. 10.5194/amt-12-2611-2019
50. Improving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data M. Drüke et al. 10.5194/gmd-12-5029-2019
51. COLUMNAR GROWTH HABIT APPLE RESISTANCE TO LAW TEMPERATURE AT AUTUMN AND WINTER PERIOD A. Zemisov et al. 10.31676/2073-4948-2020-63-70-76
52. LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al. 10.5194/gmd-11-1343-2018
53. 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. 10.5194/gmd-8-3837-2015
54. Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests M. Thurner et al. 10.1111/gcb.13660
55. Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
56. Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere J. Peng et al. 10.1111/gcb.14627