88 citations as recorded by crossref.

1. ORYZA model development for soil organic carbon dynamics and greenhouse gas emissions: Module description and sensitivity analysis T. Li et al. https://doi.org/10.1016/j.agwat.2026.110717
2. Simulated CO2 Fertilization Drives Progressive Phosphorus Limitation via Accelerated Organic Cycling in Amazonian Forests K. Fleischer et al. https://doi.org/10.1111/gcb.71000
3. 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
4. A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration J. Tang & W. Riley https://doi.org/10.1029/2018JG004779
5. Improved modelling of soil nitrogen losses Q. Zhu & W. Riley https://doi.org/10.1038/nclimate2696
6. Temperature sensitivity of ecoenzyme kinetics driving litter decomposition: The effects of nitrogen enrichment, litter chemistry, and decomposer community X. Tan et al. https://doi.org/10.1016/j.soilbio.2020.107878
7. Emergent properties of organic matter decomposition by soil enzymes B. Wang & S. Allison https://doi.org/10.1016/j.soilbio.2019.107522
8. Reviews and syntheses: Ironing out wrinkles in the soil phosphorus cycling paradigm C. McConnell et al. https://doi.org/10.5194/bg-17-5309-2020
9. Nitrification, denitrification, and competition for soilN: Evaluation of twoEarth System Modelsagainst observations C. Nevison et al. https://doi.org/10.1002/eap.2528
10. Modeling coupled enzymatic and solute transport controls on decomposition in drying soils S. Manzoni et al. https://doi.org/10.1016/j.soilbio.2016.01.006
11. Predictions of rhizosphere microbiome dynamics with a genome-informed and trait-based energy budget model G. Marschmann et al. https://doi.org/10.1038/s41564-023-01582-w
12. Microbial Controls on the Biogeochemical Dynamics in the Subsurface M. Thullner & P. Regnier https://doi.org/10.2138/rmg.2019.85.9
13. Eco‐Evolutionary Optimality in Soil Organic Matter Models E. Schwarz et al. https://doi.org/10.1111/ele.70278
14. Combination of energy limitation and sorption capacity explains 14C depth gradients B. Ahrens et al. https://doi.org/10.1016/j.soilbio.2020.107912
15. Improved global-scale predictions of soil carbon stocks with Millennial Version 2 R. Abramoff et al. https://doi.org/10.1016/j.soilbio.2021.108466
16. Developing systems theory in soil agroecology: incorporating heterogeneity and dynamic instability N. Medina & J. Vandermeer https://doi.org/10.3389/fenvs.2023.1171194
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. A chemical kinetics theory for interpreting the non-monotonic temperature dependence of enzymatic reactions J. Tang & W. Riley https://doi.org/10.5194/bg-21-1061-2024
19. Divergent carbon use efficiency-growth rate tradeoff in popular biological growth models J. Tang et al. https://doi.org/10.5194/bg-23-3995-2026
20. Multiple models and experiments underscore large uncertainty in soil carbon dynamics B. Sulman et al. https://doi.org/10.1007/s10533-018-0509-z
21. Identification of a parasitic symbiosis between respiratory metabolisms in the biogeochemical chlorine cycle T. Barnum et al. https://doi.org/10.1038/s41396-020-0599-1
22. Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems R. Tang et al. https://doi.org/10.1016/j.agrformet.2026.111241
23. Expanding the role of reactive transport models in critical zone processes L. Li et al. https://doi.org/10.1016/j.earscirev.2016.09.001
24. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession D. Medvigy et al. https://doi.org/10.1111/nph.15848
25. Chemodiversity controls microbial assimilation of soil organic carbon: A theoretical model J. Weverka et al. https://doi.org/10.1016/j.soilbio.2023.109161
26. Global patterns and substrate‐based mechanisms of the terrestrial nitrogen cycle S. Niu et al. https://doi.org/10.1111/ele.12591
27. Enzyme–substrate reactions and kinetic theory in biogeochemical cycling in soils: What we know and what we don’t know S. Akter et al. https://doi.org/10.1016/j.ecz.2026.100095
28. Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems B. Drewniak & M. Gonzalez-Meler https://doi.org/10.3390/f8080267
29. Competitor and substrate sizes and diffusion together define enzymatic depolymerization and microbial substrate uptake rates J. Tang & W. Riley https://doi.org/10.1016/j.soilbio.2019.107624
30. ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition Y. Huang et al. https://doi.org/10.5194/gmd-11-2111-2018
31. Dynamic upscaling of decomposition kinetics for carbon cycling models A. Chakrawal et al. https://doi.org/10.5194/gmd-13-1399-2020
32. A microbially driven and depth-explicit soil organic carbon model constrained by carbon isotopes to reduce parameter equifinality M. Van de Broek et al. https://doi.org/10.5194/bg-22-1427-2025
33. A new theory of plant–microbe nutrient competition resolves inconsistencies between observations and model predictions Q. Zhu et al. https://doi.org/10.1002/eap.1490
34. Root traits explain observed tundra vegetation nitrogen uptake patterns: Implications for trait‐based land models Q. Zhu et al. https://doi.org/10.1002/2016JG003554
35. Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model J. Chen et al. https://doi.org/10.1029/2018JG004795
36. Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2) J. Tang et al. https://doi.org/10.5194/gmd-15-1619-2022
37. Modelling root exudation and plant-microbe interactions under CO2 fertilization in a mature forest K. Schufft et al. https://doi.org/10.5194/bg-23-4529-2026
38. The effect of temperature on the rate, affinity, and 15N fractionation of NO3 − during biological denitrification in soils F. Maggi & W. Riley https://doi.org/10.1007/s10533-015-0095-2
39. 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
40. SUPECA kinetics for scaling redox reactions in networks of mixed substrates and consumers and an example application to aerobic soil respiration J. Tang & W. Riley https://doi.org/10.5194/gmd-10-3277-2017
41. Abiotic and Biotic Controls on Soil Organo–Mineral Interactions: Developing Model Structures to Analyze Why Soil Organic Matter Persists D. Dwivedi et al. https://doi.org/10.2138/rmg.2019.85.11
42. A review on modelling forest biogeochemistry and the coupled forest – soil interactions in a changing world F. Sauke et al. https://doi.org/10.1016/j.envsoft.2025.106381
43. Merging a mechanistic enzymatic model of soil heterotrophic respiration into an ecosystem model in two AmeriFlux sites of northeastern USA D. Sihi et al. https://doi.org/10.1016/j.agrformet.2018.01.026
44. Microbial community-level regulation explains soil carbon responses to long-term litter manipulations K. Georgiou et al. https://doi.org/10.1038/s41467-017-01116-z
45. Revising the dynamic energy budget theory with a new reserve mobilization rule and three example applications to bacterial growth J. Tang & W. Riley https://doi.org/10.1016/j.soilbio.2023.108954
46. Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process H. Song et al. https://doi.org/10.3389/fmicb.2017.01866
47. Linear two-pool models are insufficient to infer soil organic matter decomposition temperature sensitivity from incubations J. Tang & W. Riley https://doi.org/10.1007/s10533-020-00678-3
48. Relationship between enzyme concentration and Michaelis constant in enzyme assays K. Yun & T. Han https://doi.org/10.1016/j.biochi.2020.06.002
49. Ecophysiological Study ofParaburkholderiasp. Strain 1N under Soil Solution Conditions: Dynamic Substrate Preferences and Characterization of Carbon Use Efficiency K. Cyle et al. https://doi.org/10.1128/AEM.01851-20
50. Mathematical model for calculating carbon dynamics in wetland ecosystems of cold regions of Western Siberia S. Semenov et al. https://doi.org/10.25587/2411-9326-2024-1-102-115
51. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking Q. Zhu et al. https://doi.org/10.1029/2018MS001571
52. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. https://doi.org/10.5194/bg-13-3735-2016
53. When and why microbial-explicit soil organic carbon models can be unstable E. Schwarz et al. https://doi.org/10.5194/bg-21-3441-2024
54. Weaker soil carbon–climate feedbacks resulting from microbial and abiotic interactions J. Tang & W. Riley https://doi.org/10.1038/nclimate2438
55. Redox and temperature-sensitive changes in microbial communities and soil chemistry dictate greenhouse gas loss from thawed permafrost J. Ernakovich et al. https://doi.org/10.1007/s10533-017-0354-5
56. AMPSOM: A measureable pool soil organic carbon and nitrogen model for arable cropping systems I. Tougma et al. https://doi.org/10.1016/j.envsoft.2024.106291
57. Equifinality, sloppiness, and emergent structures of mechanistic soil biogeochemical models G. Marschmann et al. https://doi.org/10.1016/j.envsoft.2019.104518
58. Modelling mycelial responses to nitrogen limitation during litter decomposition S. Ghersheen et al. https://doi.org/10.1016/j.soilbio.2025.109899
59. On the role of soil water retention characteristic on aerobic microbial respiration T. Ghezzehei et al. https://doi.org/10.5194/bg-16-1187-2019
60. Model exploration of interactions between algal functional diversity and productivity in chemostats to represent open ponds systems across climate gradients Y. Cheng et al. https://doi.org/10.1016/j.ecolmodel.2019.05.007
61. Competitive effects in bacterial mRNA decay T. Etienne et al. https://doi.org/10.1016/j.jtbi.2020.110333
62. Technical note: A modified formulation of dynamic energy budget theory for faster computation of biological growth J. Tang & W. Riley https://doi.org/10.5194/bg-22-1809-2025
63. Near Activation and Differential Activation in Enzymatic Reactions F. Maggi & W. Riley https://doi.org/10.1002/kin.21076
64. Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes Z. Buell et al. https://doi.org/10.1016/j.soilbio.2025.109844
65. Dynamic utilization of low-molecular-weight organic substrates across a microbial growth rate gradient K. Cyle et al. https://doi.org/10.1111/jam.15652
66. Beyond behavioural models: equifinality and overparameterisation undermine confidence in predictions by soil organic matter models M. Van de Broek & J. Six https://doi.org/10.5194/gmd-19-8651-2026
67. Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes L. Yu et al. https://doi.org/10.5194/gmd-13-783-2020
68. The Central Amazon Biomass Sink Under Current and Future Atmospheric CO2: Predictions From Big‐Leaf and Demographic Vegetation Models J. Holm et al. https://doi.org/10.1029/2019JG005500
69. Decomposition rate as an emergent property of optimal microbial foraging S. Manzoni et al. https://doi.org/10.3389/fevo.2023.1094269
70. On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley https://doi.org/10.1007/s11104-020-04798-5
71. Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. https://doi.org/10.1029/2023JG007436
72. Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics H. Metzler et al. https://doi.org/10.1029/2019MS001776
73. Heterotrophic respiration by soil microbes in a changing climate J. Jansson et al. https://doi.org/10.1038/s43017-026-00806-x
74. Weaker land–climate feedbacks from nutrient uptake during photosynthesis-inactive periods W. Riley et al. https://doi.org/10.1038/s41558-018-0325-4
75. Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0 Y. Huang et al. https://doi.org/10.1029/2020GB006836
76. Spatial Control of Microbial Pesticide Degradation in Soil: A Model-Based Scenario Analysis E. Schwarz et al. https://doi.org/10.1021/acs.est.2c03397
77. Microbial dormancy improves development and experimental validation of ecosystem model G. Wang et al. https://doi.org/10.1038/ismej.2014.120
78. Future challenges in coupled C–N–P cycle models for terrestrial ecosystems under global change: a review D. Achat et al. https://doi.org/10.1007/s10533-016-0274-9
79. Finding Liebig’s law of the minimum J. Tang & W. Riley https://doi.org/10.1002/eap.2458
80. Understanding the joint impacts of soil architecture and microbial dynamics on soil functions: Insights derived from microscale models V. Pot et al. https://doi.org/10.1111/ejss.13256
81. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients R. Abramoff et al. https://doi.org/10.1029/2018GB006001
82. Modelling belowground plant acclimation to low soil nitrogen – a heuristic optimality‐based approach A. Chakrawal et al. https://doi.org/10.1111/nph.71210
83. Conceptualizing Biogeochemical Reactions With an Ohm's Law Analogy J. Tang et al. https://doi.org/10.1029/2021MS002469
84. On the relationships between the Michaelis–Menten kinetics, reverse Michaelis–Menten kinetics, equilibrium chemistry approximation kinetics, and quadratic kinetics J. Tang https://doi.org/10.5194/gmd-8-3823-2015
85. The evolution and application of the reverse Michaelis-Menten equation D. Moorhead & M. Weintraub https://doi.org/10.1016/j.soilbio.2018.07.021
86. Quantifying the contribution of mass flow to nitrogen acquisition by an individual plant root R. McMurtrie & T. Näsholm https://doi.org/10.1111/nph.14927
87. Microbial carbon limitation: The need for integrating microorganisms into our understanding of ecosystem carbon cycling J. Soong et al. https://doi.org/10.1111/gcb.14962
88. Long residence times of rapidly decomposable soil organic matter: application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics W. Riley et al. https://doi.org/10.5194/gmd-7-1335-2014