74 citations as recorded by crossref.

1. Detecting early warning signals of tree mortality in boreal North America using multiscale satellite data B. Rogers et al.
2. The long-term impact of transgressing planetary boundaries on biophysical atmosphere–land interactions M. Drüke et al.
3. Enhanced seasonal CO 2 exchange caused by amplified plant productivity in northern ecosystems M. Forkel et al.
4. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al.
5. Global distribution of groundwater‐vegetation spatial covariation S. Koirala et al.
6. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al.
7. Can the eco-evolutionary optimality concept predict steady-state vegetation? An evaluation and comparison of four models D. Zhang et al.
8. 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.
9. A new tropical savanna PFT, variable root growth and fire improve Cerrado vegetation dynamics simulations in a Dynamic Global Vegetation Model J. Schüler et al.
10. Codominant water control on global interannual variability and trends in land surface phenology and greenness M. Forkel et al.
11. No Consistent Evidence for Advancing or Delaying Trends in Spring Phenology on the Tibetan Plateau X. Wang et al.
12. Vegetation baseline phenology from kilometric global LAI satellite products A. Verger et al.
13. Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales J. Claessen et al.
14. Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al.
15. Connecting competitor, stress-tolerator and ruderal (CSR) theory and Lund Potsdam Jena managed Land 5 (LPJmL 5) to assess the role of environmental conditions, management and functional diversity for grassland ecosystem functions S. Wirth et al.
16. Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests B. Sakschewski et al.
17. Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros
18. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al.
19. A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index Q. Xin et al.
20. Evolution of vegetation phenology research under climate change: a comprehensive bibliometric study R. Zhou et al.
21. 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.
22. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al.
23. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al.
24. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4) K. Haynes et al.
25. Complexity revealed in the greening of the Arctic I. Myers-Smith et al.
26. 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.
27. Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al.
28. Modeling phenological controls on carbon dynamics in dryland sagebrush ecosystems K. Renwick et al.
29. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al.
30. Climate-induced hysteresis of the tropical forest in a fire-enabled Earth system model M. Drüke et al.
31. Benchmarking remote sensing methods to capture plant functional diversity from space J. Pacheco-Labrador et al.
32. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al.
33. An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model J. Kolassa et al.
34. Trade‐offs for food production, nature conservation and climate limit the terrestrial carbon dioxide removal potential L. Boysen et al.
35. Modelling the Arctic taiga-tundra ecotone using ALOS PALSAR and optical earth observation data C. Walther et al.
36. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al.
37. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al.
38. 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.
39. Earth beyond six of nine planetary boundaries K. Richardson et al.
40. A novel bias correction methodology for climate impact simulations S. Sippel et al.
41. Modeling leaf senescence of deciduous tree species in Europe Q. Liu et al.
42. 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.
43. Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al.
44. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes Y. Pan et al.
45. Modeling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model M. Braakhekke et al.
46. Impacts devalue the potential of large-scale terrestrial CO 2 removal through biomass plantations L. Boysen et al.
47. Sources of uncertainty in the SPITFIRE global fire model: development of LPJmL-SPITFIRE1.9 and directions for future improvements L. Oberhagemann et al.
48. 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.
49. Simulating functional diversity of European natural forests along climatic gradients K. Thonicke et al.
50. Soil Respiration Phenology Improves Modeled Phase of Terrestrial net Ecosystem Exchange in Northern Hemisphere K. Endsley et al.
51. BOSSE v1.0: the Biodiversity Observing System Simulation Experiment J. Pacheco-Labrador et al.
52. Role of CO2, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: a multimodel analysis F. Zhao et al.
53. Advancing integrated terrestrial nutrient budget modeling: Challenges and opportunities for improvement across space, time, and end-users C. Pasut et al.
54. Technical and Economic Irrigation Potentials Within Land and Water Boundaries F. Beier et al.
55. Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data R. Ma et al.
56. Resistance to high temperatures of apple varieties breeding of I. V. Michurin Federal Scientific Center those are immune to scab N. Saveleva et al.
57. Russian forests show strong potential for young forest growth C. Neigh et al.
58. Process-Based Models of Phenology for Plants and Animals I. Chuine & J. Régnière
59. LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation S. Schaphoff et al.
60. Global cotton production under climate change – Implications for yield and water consumption Y. Jans et al.
61. Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis * X. Kong et al.
62. Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology Q. Liu et al.
63. Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0) W. von Bloh et al.
64. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al.
65. A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias L. Calle et al.
66. Improving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data M. Drüke et al.
67. Fire may prevent future Amazon forest recovery after large-scale deforestation M. Drüke et al.
68. COLUMNAR GROWTH HABIT APPLE RESISTANCE TO LAW TEMPERATURE AT AUTUMN AND WINTER PERIOD A. Zemisov et al.
69. LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al.
70. 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.
71. Evaluation of climate‐related carbon turnover processes in global vegetation models for boreal and temperate forests M. Thurner et al.
72. Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al.
73. Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al.
74. Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere J. Peng et al.