53 citations as recorded by crossref.

1. The biogeochemical model Biome-BGCMuSo v6.2 provides plausible and accurate simulations of the carbon cycle in central European beech forests K. Merganičová et al. 10.5194/gmd-17-7317-2024
2. First results of tall tower based nitrous oxide flux monitoring over an agricultural region in Central Europe L. Haszpra et al. 10.1016/j.atmosenv.2017.12.035
3. Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models B. Kimball et al. 10.1016/j.agrformet.2023.109396
4. Grazing weakens the carbon sequestration capacity of dry temperate grassland ecosystems in Central Asia Y. Wang et al. 10.1016/j.catena.2024.108608
5. Conditional interval reduction method: A possible new direction for the optimization of process based models R. Hollós et al. 10.1016/j.envsoft.2022.105556
6. Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs N. Fodor et al. 10.1080/17538947.2021.1953161
7. Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State A. Kern et al. 10.3390/rs14215621
8. Modeling the effect of grazing on carbon and water use efficiencies in grasslands on the Qinghai–Tibet Plateau X. Huang et al. 10.1186/s12862-024-02215-4
9. Climate Change and Rising CO2 Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China B. Huang et al. 10.1029/2022EF003057
10. Impacts of vegetation restoration on water resources and carbon sequestration in the mountainous area of Haihe River basin, China T. Ma et al. 10.1016/j.scitotenv.2023.161724
11. Sensitivity of simulated soil water content, evapotranspiration, gross primary production and biomass to climate change factors in Euro-Mediterranean grasslands G. Bellocchi et al. 10.1016/j.agrformet.2023.109778
12. Ecological restoration is crucial in mitigating carbon loss caused by permafrost thawing on the Qinghai-Tibet Plateau B. Huang et al. 10.1038/s43247-024-01511-7
13. Simulation of Soil Water Content in Mediterranean Ecosystems by Biogeochemical and Remote Sensing Models P. Battista et al. 10.3390/w10050665
14. Forest Carbon Flux Simulation Using Multi-Source Data and Incorporation of Remotely Sensed Model with Process-Based Model Y. Su et al. 10.3390/rs14194766
15. A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
16. La selvicultura ecohidrológica como herramienta de gestión multifuncional y adaptativa: aplicación práctica en la Sierra Norte de Madrid A. Del Campo García et al. 10.31167/csecfv0i49.19940
17. Machine Learning‐Based Modeling of Vegetation Leaf Area Index and Gross Primary Productivity Across North America and Comparison With a Process‐Based Model Z. Zhang et al. 10.1029/2021MS002802
18. Temporal and Spatial Dynamics of Carbon Storage in Qinghai Grasslands X. Huang et al. 10.3390/agronomy12051201
19. A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
20. Quantifying and Mapping Human Appropriation of Net Primary Productivity in Qinghai Grasslands in China X. Huang et al. 10.3390/agriculture12040483
21. Comparison and Optimization of Water Conservation Function in Natural Forests and Tea Plantations in a Headwater Catchment, Taihu Lake Basin J. Geng et al. 10.3390/f15010189
22. Empirical and process-based models predict enhanced beech growth in European mountains under climate change scenarios: A multimodel approach M. Bosela et al. 10.1016/j.scitotenv.2023.164123
23. An improved parameterization of the allocation of assimilated carbon to plant parts in vegetation dynamics for Noah‐MP H. Gim et al. 10.1002/2016MS000890
24. Spatiotemporal Dynamics of the Carbon Budget and the Response to Grazing in Qinghai Grasslands X. Huang et al. 10.3389/fpls.2021.775015
25. Early–latewood carbon isotope enhances the understanding of the relationship between tree biomass growth and forest-level carbon fluxes H. Jia et al. 10.1016/j.agrformet.2022.108818
26. A comparison of three models used to determine water fluxes over the Albany Thicket, Eastern Cape, South Africa A. Palmer et al. 10.1016/j.agrformet.2020.107984
27. Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model M. Yan et al. 10.1186/s40663-019-0171-5
28. Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses M. Ostrogović Sever et al. 10.3390/land10090968
29. Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. 10.1029/2018MS001275
30. Uncertainties in the adaptation of alpine pastures to climate change based on remote sensing products and modelling L. Brilli et al. 10.1016/j.jenvman.2023.117575
31. Improvement of predicting ecosystem productivity by modifying carbon–water–nitrogen coupling processes in a temperate grassland K. Cheng et al. 10.1093/jpe/rtaa072
32. The Effect of Abiotic Stresses on the Protein Composition of Four Hungarian Wheat Varieties D. Nagy-Réder et al. 10.3390/plants11010001
33. Analysis of the 21-years long carbon dioxide flux dataset from a Central European tall tower site Z. Barcza et al. 10.1016/j.agrformet.2020.108027
34. Simulation of soil temperature under maize: An inter-comparison among 33 maize models B. Kimball et al. 10.1016/j.agrformet.2024.110003
35. On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley 10.1007/s11104-020-04798-5
36. Sensitivity analysis of Biome-BGCMuSo for gross and net primary productivity of typical forests in China H. Ren et al. 10.1016/j.fecs.2022.100011
37. Análisis integral de la gestión forestal de base hidrológica mediante redes bayesianas A. García Prats et al. 10.31167/csecfv0i45.19532
38. An integrated pasture biomass and beef cattle liveweight predictive model under weather forecast uncertainty: An application to Northern Australia M. Masoud et al. 10.1002/fes3.453
39. Hydrology-oriented forest management trade-offs. A modeling framework coupling field data, simulation results and Bayesian Networks A. Garcia-Prats et al. 10.1016/j.scitotenv.2018.05.134
40. Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth I. Salma et al. 10.5194/acp-21-2861-2021
41. Impact of climate change on net primary production (NPP) in south Iran Z. Azhdari et al. 10.1007/s10661-020-08389-w
42. Estimating spatial variation in the effects of climate change on the net primary production of Japanese cedar plantations based on modeled carbon dynamics J. Toriyama et al. 10.1371/journal.pone.0247165
43. Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary G. Szatmári et al. 10.1016/j.geoderma.2024.117067
44. Improving the modelling and understanding of carbon-nitrogen-water interactions in a semiarid Mediterranean oak forest C. Puertes et al. 10.1016/j.ecolmodel.2020.108976
45. Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem L. Du et al. 10.1016/j.agrformet.2021.108339
46. Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models E. Gustafson et al. 10.1016/j.ecolmodel.2024.110657
47. Residual correlation and ensemble modelling to improve crop and grassland models R. Sándor et al. 10.1016/j.envsoft.2023.105625
48. Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data L. Zheng et al. 10.1016/j.agrformet.2022.109001
49. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
50. Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices A. Kern et al. 10.1016/j.agrformet.2018.06.009
51. Improved Modeling of Gross Primary Productivity of Alpine Grasslands on the Tibetan Plateau Using the Biome-BGC Model Y. You et al. 10.3390/rs11111287
52. Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G. Szatmári et al. 10.1016/j.geoderma.2021.115356
53. Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak (Quercus robur L.) Forest in Croatia during Ten Years M. Anić et al. 10.3390/f9120764