140 citations as recorded by crossref.

1. Simulating long-term carbon nitrogen and phosphorus biogeochemical cycling in agricultural environments V. Janes-Bassett et al. https://doi.org/10.1016/j.scitotenv.2020.136599
2. GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes Y. Wang et al. https://doi.org/10.5194/gmd-11-3903-2018
3. Long‐term P weathering and recent N deposition control contemporary plant‐soil C, N, and P J. Davies et al. https://doi.org/10.1002/2015GB005167
4. Modeling the carbon cost of plant nitrogen acquisition: Mycorrhizal trade-offs and multipath resistance uptake improve predictions of retranslocation E. Brzostek et al. https://doi.org/10.1002/2014JG002660
5. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. https://doi.org/10.5194/esd-14-767-2023
6. A Global Sensitivity Analysis of Parameter Uncertainty in the CLASSIC Model R. S. N. et al. https://doi.org/10.1080/07055900.2024.2396426
7. A representation of the phosphorus cycle for ORCHIDEE (revision 4520) D. Goll et al. https://doi.org/10.5194/gmd-10-3745-2017
8. Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale S. Fatichi et al. https://doi.org/10.1002/wat2.1125
9. Mixed Broadleaved Tree Species Increases Soil Phosphorus Availability but Decreases the Coniferous Tree Nutrient Concentration in Subtropical China W. Bu et al. https://doi.org/10.3390/f11040461
10. The contrasting effects of nitrogen and phosphorus fertilizations on the growth of Cunninghamia lanceolata depend on the season in subtropical China W. Bu et al. https://doi.org/10.1016/j.foreco.2020.118874
11. Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) M. Nakhavali et al. https://doi.org/10.5194/gmd-15-5241-2022
12. Terrestrial Phosphorus Cycling: Responses to Climatic Change D. Menge et al. https://doi.org/10.1146/annurev-ecolsys-110421-102458
13. Increasing Functional Diversity in a Global Land Surface Model Illustrates Uncertainties Related to Parameter Simplification E. Butler et al. https://doi.org/10.1029/2021JG006606
14. 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
15. Informing models through empirical relationships between foliar phosphorus, nitrogen and photosynthesis across diverse woody species in tropical forests of Panama R. Norby et al. https://doi.org/10.1111/nph.14319
16. Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. https://doi.org/10.1111/gcb.12813
17. Soil Transition and Characteristics Along a Periglacial–Agricultural Gradient in the Carihuairazo Volcano Area E. Muñoz-Jácome et al. https://doi.org/10.3390/earth7040128
18. Major perturbations in the Earth's forest ecosystems. Possible implications for global warming R. Prăvălie https://doi.org/10.1016/j.earscirev.2018.06.010
19. Modelling carbon sources and sinks in terrestrial vegetation S. Fatichi et al. https://doi.org/10.1111/nph.15451
20. Estimates of mean residence times of phosphorus in commonly considered inorganic soil phosphorus pools J. Helfenstein et al. https://doi.org/10.5194/bg-17-441-2020
21. Increased extreme rains intensify erosional nitrogen and phosphorus fluxes to the northern Gulf of Mexico in recent decades Z. Tan et al. https://doi.org/10.1088/1748-9326/abf006
22. Plant responses to elevated CO2 under competing hypotheses of nitrogen and phosphorus limitations Q. Zhu et al. https://doi.org/10.1002/eap.2967
23. Technical Note: A generic law-of-the-minimum flux limiter for simulating substrate limitation in biogeochemical models J. Tang & W. Riley https://doi.org/10.5194/bg-13-723-2016
24. Coupling of Phosphorus Processes With Carbon and Nitrogen Cycles in the Dynamic Land Ecosystem Model: Model Structure, Parameterization, and Evaluation in Tropical Forests Z. Wang et al. https://doi.org/10.1029/2020MS002123
25. Embracing fine‐root system complexity in terrestrial ecosystem modeling B. Wang et al. https://doi.org/10.1111/gcb.16659
26. Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient‐ and water‐limited native Eucalypt woodland B. Medlyn et al. https://doi.org/10.1111/gcb.13268
27. Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia https://doi.org/10.3389/fevo.2023.1105832
28. Increased influence of nitrogen limitation on CO2 emissions from future land use and land use change P. Meiyappan et al. https://doi.org/10.1002/2015GB005086
29. Competing effects of soil fertility and toxicity on tropical greening J. Fisher et al. https://doi.org/10.1038/s41598-020-63589-1
30. 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
31. On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley https://doi.org/10.1007/s11104-020-04798-5
32. Nitrogen, water, and phosphorus uptake as functions of fine-root mass in greenhouse microcosms of Poa pratensis R. Dybzinski et al. https://doi.org/10.1007/s11258-021-01155-z
33. Key knowledge and data gaps in modelling the influence of CO2 concentration on the terrestrial carbon sink T. Pugh et al. https://doi.org/10.1016/j.jplph.2016.05.001
34. Carbon cost of plant nitrogen acquisition: global carbon cycle impact from an improved plant nitrogen cycle in the Community Land Model M. Shi et al. https://doi.org/10.1111/gcb.13131
35. Global patterns and drivers of phosphorus fractions in natural soils X. He et al. https://doi.org/10.5194/bg-20-4147-2023
36. Unexpected seasonal variability of Hedley-occluded phosphorus in phosphorus-supplied subtropical forest soils H. Lin et al. https://doi.org/10.1016/j.catena.2025.109424
37. Projected End-of-Century Changes in the South American Monsoon in the CESM Large Ensemble A. Thome Sena & G. Magnusdottir https://doi.org/10.1175/JCLI-D-19-0645.1
38. Responses of terrestrial ecosystem phosphorus cycling to nitrogen addition: A meta‐analysis Q. Deng et al. https://doi.org/10.1111/geb.12576
39. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades A. Chen et al. https://doi.org/10.1016/j.geosus.2020.03.002
40. Productivity in a dominant herbaceous species is largely unrelated to soil macronutrient stocks E. Rowe et al. https://doi.org/10.1016/j.scitotenv.2016.03.066
41. Triose phosphate utilization limitation: an unnecessary complexity in terrestrial biosphere model representation of photosynthesis A. Rogers et al. https://doi.org/10.1111/nph.17092
42. Nitrogen Deposition Maintains a Positive Effect on Terrestrial Carbon Sequestration in the 21st Century Despite Growing Phosphorus Limitation at Regional Scales K. Fleischer et al. https://doi.org/10.1029/2018GB005952
43. Phosphorus rather than nitrogen enhances CO2 emissions in tropical forest soils: Evidence from a laboratory incubation study D. Hui et al. https://doi.org/10.1111/ejss.12885
44. Toward a Global Model for Soil Inorganic Phosphorus Dynamics: Dependence of Exchange Kinetics and Soil Bioavailability on Soil Physicochemical Properties Y. Wang et al. https://doi.org/10.1029/2021GB007061
45. Aligning theoretical and empirical representations of soil carbon-to-nitrogen stoichiometry with process-based terrestrial biogeochemistry models K. Rocci et al. https://doi.org/10.1016/j.soilbio.2023.109272
46. Incorporating phosphorus cycling into global modeling efforts: a worthwhile, tractable endeavor S. Reed et al. https://doi.org/10.1111/nph.13521
47. Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986) Y. Sun et al. https://doi.org/10.5194/gmd-14-1987-2021
48. Updated respiration routines alter spatio-temporal patterns of carbon cycling in a global land surface model E. Butler et al. https://doi.org/10.1088/1748-9326/ac2528
49. Model–data synthesis for the next generation of forest free‐air CO2 enrichment (FACE) experiments R. Norby et al. https://doi.org/10.1111/nph.13593
50. Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5 R. Fisher et al. https://doi.org/10.1029/2019MS001609
51. Evaluation of stem rot in 339 Bornean tree species: implications of size, taxonomy, and soil-related variation for aboveground biomass estimates K. Heineman et al. https://doi.org/10.5194/bg-12-5735-2015
52. Modelling the nutrient cost of biomass harvesting under different silvicultural and climate scenarios in production forests D. Achat et al. https://doi.org/10.1016/j.foreco.2018.06.047
53. Potassium limitation of forest productivity – Part 1: A mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalypt stands I. Cornut et al. https://doi.org/10.5194/bg-20-3093-2023
54. Changes in carbon storage since the pre-industrial era: A national scale analysis V. Janes-Bassett et al. https://doi.org/10.1016/j.ancene.2021.100289
55. The Freundlich isotherm equation best represents phosphate sorption across soil orders and land use types in tropical soils of Puerto Rico D. Yaffar et al. https://doi.org/10.1007/s10533-025-01218-7
56. 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
57. Evaluation methods used for phosphate-solubilizing bacteria A. Clayton et al. https://doi.org/10.5897/AJB2015.15020
58. Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM T. Zhou et al. https://doi.org/10.1029/2020MS002069
59. A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996) T. Thum et al. https://doi.org/10.5194/gmd-12-4781-2019
60. Global patterns and drivers of soil total phosphorus concentration X. He et al. https://doi.org/10.5194/essd-13-5831-2021
61. Amazon Forest Ecosystem Responses to Elevated Atmospheric CO2 and Alterations in Nutrient Availability: Filling the Gaps with Model-Experiment Integration F. Hofhansl et al. https://doi.org/10.3389/feart.2016.00019
62. Evaluating P availability influenced by warming and N deposition in a subtropical forest soil: a bioassay mesocosm experiment L. Yang et al. https://doi.org/10.1007/s11104-019-04246-z
63. Phosphorus sorption on tropical soils with relevance to Earth system model needs J. Brenner et al. https://doi.org/10.1071/SR18197
64. A Mechanistic Model of Microbially Mediated Soil Biogeochemical Processes: A Reality Check S. Fatichi et al. https://doi.org/10.1029/2018GB006077
65. CoupModel (v6.0): an ecosystem model for coupled phosphorus, nitrogen, and carbon dynamics – evaluated against empirical data from a climatic and fertility gradient in Sweden H. He et al. https://doi.org/10.5194/gmd-14-735-2021
66. Low Phosphorus Availability Decreases Susceptibility of Tropical Primary Productivity to Droughts D. Goll et al. https://doi.org/10.1029/2018GL077736
67. Assessing and predicting soil carbon density in China using CMIP5 earth system models L. Qiu et al. https://doi.org/10.1016/j.scitotenv.2021.149247
68. 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
69. Low phosphorus supply constrains plant responses to elevated CO2: A meta‐analysis M. Jiang et al. https://doi.org/10.1111/gcb.15277
70. A comparison of plot‐based satellite and Earth system model estimates of tropical forest net primary production C. Cleveland et al. https://doi.org/10.1002/2014GB005022
71. On the potential vegetation feedbacks that enhance phosphorus availability – insights from a process-based model linking geological and ecological timescales C. Buendía et al. https://doi.org/10.5194/bg-11-3661-2014
72. Modeling the effects of litter stoichiometry and soil mineral N availability on soil organic matter formation using CENTURY-CUE (v1.0) H. Zhang et al. https://doi.org/10.5194/gmd-11-4779-2018
73. 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
74. Assessing Impacts of Plant Stoichiometric Traits on Terrestrial Ecosystem Carbon Accumulation Using the E3SM Land Model Q. Zhu et al. https://doi.org/10.1029/2019MS001841
75. Accurate Simulation of Both Sensitivity and Variability for Amazonian Photosynthesis: Is It Too Much to Ask? S. Gallup et al. https://doi.org/10.1029/2021MS002555
76. Tree Diversity and Soil Characteristics in a Tea–Forest Interface in Southwest Sri Lanka N. Geekiyanage et al. https://doi.org/10.3390/f12111506
77. Spatial Pattern and Environmental Drivers of Acid Phosphatase Activity in Europe Y. Sun et al. https://doi.org/10.3389/fdata.2019.00051
78. Modelling CO2 Impacts on Forest Productivity T. Hickler et al. https://doi.org/10.1007/s40725-015-0014-8
79. Interactions between Climate and Nutrient Cycles on Forest Response to Global Change: The Role of Mixed Forests E. González de Andrés https://doi.org/10.3390/f10080609
80. Regionalised modelling of recycled fertiliser P in agricultural fields: Development of the life cycle inventory model PLCI 2.0 M. Rydgård et al. https://doi.org/10.1016/j.jclepro.2024.141088
81. Impact of biochars on CO2 emissions and physic-chemical properties in Malaysian Tropical soils: Factor analysis and weighted contribution X. Cheng et al. https://doi.org/10.1016/j.jes.2025.03.002
82. 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
83. Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites L. Zhang et al. https://doi.org/10.1016/j.agrformet.2016.05.018
84. Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits T. Musavi et al. https://doi.org/10.1002/ece3.2479
85. Afforesting savannas with Acacia mangium and eucalyptus improves P availability in Arenosols of the Congolese coastal plains L. Koutika https://doi.org/10.1016/j.geodrs.2019.e00207
86. TECO-CNP Sv1.0: a coupled carbon-nitrogen-phosphorus model with data assimilation for subtropical forests F. Wan et al. https://doi.org/10.5194/gmd-18-7545-2025
87. Potassium limitation of wood productivity: A review of elementary processes and ways forward to modelling illustrated by Eucalyptus plantations I. Cornut et al. https://doi.org/10.1016/j.foreco.2021.119275
88. Modeling the Carbon Cost of Plant Nitrogen and Phosphorus Uptake Across Temperate and Tropical Forests K. Allen et al. https://doi.org/10.3389/ffgc.2020.00043
89. Phosphorus in agricultural soils: drivers of its distribution at the global scale B. Ringeval et al. https://doi.org/10.1111/gcb.13618
90. Phosphorus feedbacks constraining tropical ecosystem responses to changes in atmospheric CO2 and climate X. Yang et al. https://doi.org/10.1002/2016GL069241
91. Crown-to-ground: Above- and below-ground links mediated by arboreal ants and host tree modify soil aggregation scaling, infiltration, and chemistry N. Medina et al. https://doi.org/10.1016/j.apsoil.2026.106828
92. Tropical dry forest response to nutrient fertilization: a model validation and sensitivity analysis S. Li et al. https://doi.org/10.5194/bg-21-455-2024
93. Influence of climate variability, fire and phosphorus limitation on vegetation structure and dynamics of the Amazon–Cerrado border E. Dionizio et al. https://doi.org/10.5194/bg-15-919-2018
94. Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forest M. Jiang et al. https://doi.org/10.1126/sciadv.adl5822
95. 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
96. Modeling the forest phosphorus nutrition in a southwestern Swedish forest site L. Yu et al. https://doi.org/10.1016/j.ecolmodel.2017.12.018
97. Phosphorus Budget of the Sundarban Mangrove Ecosystem: Box Model Approach R. Ray et al. https://doi.org/10.1007/s12237-017-0332-0
98. Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. https://doi.org/10.1175/EI-D-16-0012.1
99. Including the phosphorus cycle into the LPJ-GUESS dynamic global vegetation model (v4.1, r10994) – global patterns and temporal trends of N and P primary production limitation M. Dantas de Paula et al. https://doi.org/10.5194/gmd-18-2249-2025
100. 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
101. Impacts of enhanced weathering on biomass production for negative emission technologies and soil hydrology W. de Oliveira Garcia et al. https://doi.org/10.5194/bg-17-2107-2020
102. Landscape Age as a Major Control on the Geography of Soil Weathering E. Slessarev et al. https://doi.org/10.1029/2019GB006266
103. A genomic perspective on stoichiometric regulation of soil carbon cycling W. Hartman et al. https://doi.org/10.1038/ismej.2017.115
104. The application of ecological stoichiometry to plant–microbial–soil organic matter transformations S. Zechmeister-Boltenstern et al. https://doi.org/10.1890/14-0777.1
105. Carbon and Phosphorus Allocation in Annual Plants: An Optimal Functioning Approach M. Kvakić et al. https://doi.org/10.3389/fpls.2020.00149
106. Forest response to increased disturbance in the central Amazon and comparison to western Amazonian forests J. Holm et al. https://doi.org/10.5194/bg-11-5773-2014
107. Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems L. Yu et al. https://doi.org/10.5194/bg-20-57-2023
108. Tradeoffs and Synergies in Tropical Forest Root Traits and Dynamics for Nutrient and Water Acquisition: Field and Modeling Advances D. Cusack et al. https://doi.org/10.3389/ffgc.2021.704469
109. Quantifying the Limitation to World Cereal Production Due To Soil Phosphorus Status M. Kvakić et al. https://doi.org/10.1002/2017GB005754
110. Significant inconsistency of vegetation carbon density in CMIP5 Earth system models against observational data X. Song et al. https://doi.org/10.1002/2017JG003914
111. Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model E. Kyker‐Snowman et al. https://doi.org/10.1111/gcb.15894
112. Model-based analysis of environmental controls over ecosystem primary production in an alpine tundra dry meadow Z. Fan et al. https://doi.org/10.1007/s10533-016-0193-9
113. 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
114. Removal of Woody Debris from Logging Gaps Influences Soil Physical and Chemical Properties in the Short Term: A Case Study in Central Amazonia A. Trindade et al. https://doi.org/10.1093/forsci/fxab045
115. Global forest carbon uptake due to nitrogen and phosphorus deposition from 1850 to 2100 R. Wang et al. https://doi.org/10.1111/gcb.13766
116. Phosphorus limitation on CO2 fertilization effect in tropical forests informed by a coupled biogeochemical model Z. Wang et al. https://doi.org/10.1016/j.fecs.2024.100210
117. A global meta‐analysis of soil phosphorus dynamics after afforestation Q. Deng et al. https://doi.org/10.1111/nph.14119
118. Modeling the carbon costs of plant phosphorus acquisition in Amazonian forests T. Reichert et al. https://doi.org/10.1016/j.ecolmodel.2023.110491
119. 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
120. Functional Diversity of the Litter-Associated Fungi from an Oxalate-Carbonate Pathway Ecosystem in Madagascar V. Hervé et al. https://doi.org/10.3390/microorganisms9050985
121. Regional analysis of drought and heat impacts on forests: current and future science directions B. Law https://doi.org/10.1111/gcb.12651
122. Using plant, microbe, and soil fauna traits to improve the predictive power of biogeochemical models E. Fry et al. https://doi.org/10.1111/2041-210X.13092
123. Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. https://doi.org/10.3390/land11060778
124. The Effects of Phosphorus Cycle Dynamics on Carbon Sources and Sinks in the Amazon Region: A Modeling Study Using ELM v1 X. Yang et al. https://doi.org/10.1029/2019JG005082
125. Development of lacustrine primary productivity in the Amazon Basin during the Holocene J. Soares et al. https://doi.org/10.1177/09596836221088233
126. Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance X. Yang et al. https://doi.org/10.5194/bg-20-2813-2023
127. Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition K. Fleischer et al. https://doi.org/10.1038/s41561-019-0404-9
128. The pH and available phosphorus as primary drivers of compost-induced CO2 emissions from Malaysian tropical soil: empirical relationships X. Cheng et al. https://doi.org/10.5194/soil-12-791-2026
129. Quantifying Soil Phosphorus Dynamics: A Data Assimilation Approach E. Hou et al. https://doi.org/10.1029/2018JG004903
130. 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
131. Litter decomposition is driven by microbes and is more influenced by litter quality than environmental conditions in oil palm streams with different riparian types D. Chellaiah & C. Yule https://doi.org/10.1007/s00027-018-0595-y
132. Data-model integration in global change manipulative experiments: progresses, challenges and future directions H. Lyu et al. https://doi.org/10.1093/jpe/rtag033
133. Degradation Assessment of Poplar Shelterbelts in the Kubuqi Desert Using an Entropy Weight–TOPSIS–RSR Model X. Chen et al. https://doi.org/10.3390/plants15121874
134. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. https://doi.org/10.1029/2022MS003204
135. Diagnosing phosphorus limitations in natural terrestrial ecosystems in carbon cycle models Y. Sun et al. https://doi.org/10.1002/2016EF000472
136. 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
137. An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis L. Leung et al. https://doi.org/10.1029/2019MS001821
138. Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling S. Vicca et al. https://doi.org/10.1088/1748-9326/aaeae7
139. Anthromes and forest carbon responses to global change J. Hogan et al. https://doi.org/10.1002/ppp3.10609
140. JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. https://doi.org/10.5194/gmd-14-2161-2021