41 citations as recorded by crossref.

1. Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
2. Changing How Earth System Modeling is Done to Provide More Useful Information for Decision Making, Science, and Society M. Smith et al. 10.1175/BAMS-D-13-00080.1
3. Microbial models with data‐driven parameters predict stronger soil carbon responses to climate change O. Hararuk et al. 10.1111/gcb.12827
4. Explicitly representing soil microbial processes in Earth system models W. Wieder et al. 10.1002/2015GB005188
5. The present and future effects of land use on ecological assemblages in tropical grasslands and savannas in Africa T. Newbold et al. 10.1111/oik.04338
6. Modelling above-ground carbon dynamics using multi-temporal airborne lidar: insights from a Mediterranean woodland W. Simonson et al. 10.5194/bg-13-961-2016
7. The Environmental Legacy of Modern Tropical Deforestation I. Rosa et al. 10.1016/j.cub.2016.06.013
8. A model-independent data assimilation (MIDA) module and its applications in ecology X. Huang et al. 10.5194/gmd-14-5217-2021
9. MadingleyR: An R package for mechanistic ecosystem modelling S. Hoeks et al. 10.1111/geb.13354
10. Predictability of the terrestrial carbon cycle Y. Luo et al. 10.1111/gcb.12766
11. Variability of projected terrestrial biosphere responses to elevated levels of atmospheric CO<sub>2</sub> due to uncertainty in biological nitrogen fixation J. Meyerholt et al. 10.5194/bg-13-1491-2016
12. Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological "common sense" in a model–data fusion framework A. Bloom & M. Williams 10.5194/bg-12-1299-2015
13. Assessing uncertainties and discrepancies in agricultural greenhouse gas emissions estimation in China: A comprehensive review H. Li et al. 10.1016/j.eiar.2024.107498
14. How more sophisticated leaf biomass simulations can increase the realism of modelled animal populations J. Krause et al. 10.1016/j.ecolmodel.2022.110061
15. Toward more realistic projections of soil carbon dynamics by Earth system models Y. Luo et al. 10.1002/2015GB005239
16. Predictive systems ecology M. Evans et al. 10.1098/rspb.2013.1452
17. Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
18. Data-based modelling and environmental sensitivity of vegetation in China H. Wang et al. 10.5194/bg-10-5817-2013
19. Demographic controls of aboveground forest biomass across North America M. Vanderwel et al. 10.1111/ele.12574
20. Mechanistic insights into the role of large carnivores for ecosystem structure and functioning S. Hoeks et al. 10.1111/ecog.05191
21. Effects of model structural uncertainty on carbon cycle projections: biological nitrogen fixation as a case study W. Wieder et al. 10.1088/1748-9326/10/4/044016
22. Inferring the temperature dependence of population parameters: the effects of experimental design and inference algorithm G. Palamara et al. 10.1002/ece3.1309
23. Reliable, robust and realistic: the three R's of next-generation land-surface modelling I. Prentice et al. 10.5194/acp-15-5987-2015
24. Understanding the value of plant diversity for ecosystem functioning through niche theory L. Turnbull et al. 10.1098/rspb.2016.0536
25. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. 10.5194/bg-20-3301-2023
26. Parameter calibration in global soil carbon models using surrogate-based optimization H. Xu et al. 10.5194/gmd-11-3027-2018
27. Forecasting Responses of a Northern Peatland Carbon Cycle to Elevated CO2 and a Gradient of Experimental Warming J. Jiang et al. 10.1002/2017JG004040
28. Data‐Constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming S. Ma et al. 10.1002/2017JG003932
29. Assimilation of repeated woody biomass observations constrains decadal ecosystem carbon cycle uncertainty in aggrading forests T. Smallman et al. 10.1002/2016JG003520
30. Constraining the organic matter decay parameters in the CBM-CFS3 using Canadian National Forest Inventory data and a Bayesian inversion technique O. Hararuk et al. 10.1016/j.ecolmodel.2017.09.008
31. Synergistic impacts of habitat loss and fragmentation on model ecosystems L. Bartlett et al. 10.1098/rspb.2016.1027
32. Where does the carbon go? A model–data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free‐air CO2 enrichment sites M. De Kauwe et al. 10.1111/nph.12847
33. Oscillatory behavior of two nonlinear microbial models of soil carbon decomposition Y. Wang et al. 10.5194/bg-11-1817-2014
34. Short-term facilitation of microbial litter decomposition by ultraviolet radiation Y. Lin et al. 10.1016/j.scitotenv.2017.09.239
35. An improved estimate of soil carbon pool and carbon fluxes in the Qinghai-Tibetan grasslands using data assimilation with an ecosystem biogeochemical model R. Zhao et al. 10.1016/j.geoderma.2022.116283
36. Shifts in ecosystem equilibria following trophic rewilding S. Hoeks et al. 10.1111/ddi.13786
37. Quantifying variation in forest disturbance, and its effects on aboveground biomass dynamics, across the eastern United States M. Vanderwel et al. 10.1111/gcb.12152
38. Impacts of invasive plants on carbon pools depend on both species’ traits and local climate P. Martin et al. 10.1002/ecy.1711
39. Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model M. Harfoot et al. 10.1371/journal.pbio.1001841
40. Solar UV-A radiation and blue light enhance tree leaf litter decomposition in a temperate forest M. Pieristè et al. 10.1007/s00442-019-04478-x
41. The megabiota are disproportionately important for biosphere functioning B. Enquist et al. 10.1038/s41467-020-14369-y