53 citations as recorded by crossref.

1. Nitrification, denitrification, and competition for soilN: Evaluation of twoEarth System Modelsagainst observations C. Nevison et al. https://doi.org/10.1002/eap.2528
2. Tree root nutrient uptake kinetics vary with nutrient availability, environmental conditions, and root traits: a global analysis M. Craig et al. https://doi.org/10.1111/nph.70140
3. Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities D. Hidy et al. https://doi.org/10.5194/gmd-9-4405-2016
4. Ecosystem function in complex mountain terrain: Combining models and long‐term observations to advance process‐based understanding W. Wieder et al. https://doi.org/10.1002/2016JG003704
5. Warming air temperatures alter the timing and magnitude of reservoir zooplankton biomass H. Wander et al. https://doi.org/10.1016/j.ecolmodel.2025.111272
6. Differential effects of N addition on the stoichiometry of microbes and extracellular enzymes in the rhizosphere and bulk soils of an alpine shrubland X. Zhu et al. https://doi.org/10.1007/s11104-020-04468-6
7. Estimate of changes in agricultural terrestrial nitrogen pathways and ammonia emissions from 1850 to present in the Community Earth System Model S. Riddick et al. https://doi.org/10.5194/bg-13-3397-2016
8. Influence of dynamic vegetation on carbon-nitrogen cycle feedback in the Community Land Model (CLM4) K. Sakaguchi et al. https://doi.org/10.1088/1748-9326/aa51d9
9. Specifying organic fertilizer composition in process-based models: overview of available data and sensitivity analysis with Biome-BGCMuSo K. Pokovai et al. https://doi.org/10.15201/hungeobull.75.1.3
10. Predicting the effect of climate change and management on net carbon sequestration in the forest ecosystems of the European part of Russia with the complex of models V. Shanin et al. https://doi.org/10.1016/j.ecolmodel.2024.110835
11. Chronic nitrogen deposition alters tree allometric relationships: implications for biomass production and carbon storage I. Ibáñez et al. https://doi.org/10.1890/15-0883
12. Carbon allocation of Chinese pine seedlings along a nitrogen addition gradient G. Wang & F. liu https://doi.org/10.1016/j.foreco.2014.09.004
13. Spectral diversity area relationships for assessing biodiversity in a wildland–agriculture matrix K. Dahlin https://doi.org/10.1002/eap.1390
14. Modelling forest-atmosphere exchanges of carbon and water using an improved hydro-biogeochemical model in subtropical and temperate monsoon climates W. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2025.111174
15. Higher CO2 Concentrations and Lower Acidic Deposition Have Not Changed Drought Response in Tree Growth But Do Influence iWUE in Hardwood Trees in the Midwestern United States J. Maxwell et al. https://doi.org/10.1029/2019JG005298
16. Predicting soil mineralized nitrogen dynamics with fine root growth and microbial processes in temperate forests J. Fang et al. https://doi.org/10.1007/s10533-021-00883-8
17. Multiple soil nutrient competition between plants, microbes, and mineral surfaces: model development, parameterization, and example applications in several tropical forests Q. Zhu et al. https://doi.org/10.5194/bg-13-341-2016
18. The integration of nitrogen dynamics into a land surface model. Part 1: model description and site-scale validation X. YANG et al. https://doi.org/10.1080/16742834.2019.1548246
19. 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
20. Resource and physiological constraints on global crop production enhancements from atmospheric particulate matter and nitrogen deposition L. Schiferl et al. https://doi.org/10.5194/bg-15-4301-2018
21. Predicting long‐term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ? A. Walker et al. https://doi.org/10.1002/2014GB004995
22. Nitrification and denitrification in the Community Land Model compared with observations at Hubbard Brook Forest C. Nevison et al. https://doi.org/10.1002/eap.2530
23. Representing leaf and root physiological traits in CLM improves global carbon and nitrogen cycling predictions B. Ghimire et al. https://doi.org/10.1002/2015MS000538
24. Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models R. Sándor et al. https://doi.org/10.1016/j.agee.2015.09.001
25. Frontiers in Ecosystem Ecology from a Community Perspective: The Future is Boundless and Bright K. Weathers et al. https://doi.org/10.1007/s10021-016-9967-0
26. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. https://doi.org/10.1029/2018MS001583
27. Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model B. Smith et al. https://doi.org/10.5194/bg-11-2027-2014
28. Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014) G. Bonan et al. https://doi.org/10.1029/2019GB006175
29. Connecting mathematical ecosystems, real‐world ecosystems, and climate science G. Bonan https://doi.org/10.1111/nph.12802
30. Changes in nutrient concentrations of leaves and roots in response to global change factors J. Sardans et al. https://doi.org/10.1111/gcb.13721
31. Effects of model structural uncertainty on carbon cycle projections: biological nitrogen fixation as a case study W. Wieder et al. https://doi.org/10.1088/1748-9326/10/4/044016
32. Evaluating the effects of nitrogen and sulfur deposition and ozone on tree growth and mortality in California using a spatially comprehensive forest inventory M. Fenn et al. https://doi.org/10.1016/j.foreco.2020.118084
33. JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. https://doi.org/10.5194/gmd-14-2161-2021
34. Denitrification, leaching, and river nitrogen export in the Community Earth System Model C. Nevison et al. https://doi.org/10.1002/2015MS000573
35. Meta-analysis of high-latitude nitrogen-addition and warming studies implies ecological mechanisms overlooked by land models N. Bouskill et al. https://doi.org/10.5194/bg-11-6969-2014
36. Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions W. Wieder et al. https://doi.org/10.1029/2018GB006141
37. Tree species composition affects productivity and carbon dynamics of different site types in boreal forests V. Shanin et al. https://doi.org/10.1007/s10342-013-0759-1
38. Root structural and functional dynamics in terrestrial biosphere models – evaluation and recommendations J. Warren et al. https://doi.org/10.1111/nph.13034
39. Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN M. Lee et al. https://doi.org/10.5194/bg-11-5809-2014
40. Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model M. Ma et al. https://doi.org/10.5194/esd-16-841-2025
41. Have Synergies Between Nitrogen Deposition and Atmospheric CO2 Driven the Recent Enhancement of the Terrestrial Carbon Sink? M. O'Sullivan et al. https://doi.org/10.1029/2018GB005922
42. Changing Water Chemistry in One Thousand Norwegian Lakes During Three Decades of Cleaner Air and Climate Change H. de Wit et al. https://doi.org/10.1029/2022GB007509
43. Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. https://doi.org/10.1111/gcb.12813
44. Decadal fates and impacts of nitrogen additions on temperate forest carbon storage: a data–model comparison S. Cheng et al. https://doi.org/10.5194/bg-16-2771-2019
45. Responses of surface ozone air quality to anthropogenic nitrogen deposition in the Northern Hemisphere Y. Zhao et al. https://doi.org/10.5194/acp-17-9781-2017
46. Research progress and prospects of ecosystem carbon sequestration under climate change (1992–2022) Y. Hu et al. https://doi.org/10.1016/j.ecolind.2022.109656
47. Changes in Wood Biomass and Crop Yields in Response to Projected CO2, O3, Nitrogen Deposition, and Climate D. Lombardozzi et al. https://doi.org/10.1029/2018JG004680
48. Above-ground tree carbon storage in response to nitrogen deposition in the U.S. is heterogeneous and may have weakened C. Clark et al. https://doi.org/10.1038/s43247-023-00677-w
49. Chronic nitrogen additions suppress decomposition and sequester soil carbon in temperate forests S. Frey et al. https://doi.org/10.1007/s10533-014-0004-0
50. Decomposition nitrogen is better retained than simulated deposition from mineral amendments in a temperate forest R. Nair et al. https://doi.org/10.1111/gcb.13450
51. Nitrogen cycle module for INM RAS climate model A. Chernenkov et al. https://doi.org/10.1515/rnam-2024-0018
52. Challenging a Global Land Surface Model in a Local Socio-Environmental System K. Dahlin et al. https://doi.org/10.3390/land9100398
53. Nitrogen‐fixing tree abundance in higher‐latitude North America is not constrained by diversity D. Menge et al. https://doi.org/10.1111/ele.12778