{"type": "FeatureCollection", "features": [{"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:13:50Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract<p>Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real\uffe2\uff80\uff90world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first\uffe2\uff80\uff90order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth\uffe2\uff80\uff90dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool\uffe2\uff80\uff90 and flux\uffe2\uff80\uff90based data sets through data assimilation is among the highest priorities for near\uffe2\uff80\uff90term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.</p>", "keywords": ["550", "LAND MODELS", "Oceanography", "HETEROTROPHIC RESPIRATION", "01 natural sciences", "Atmospheric Sciences", "LITTER DECOMPOSITION", "ORGANIC-CARBON", "Geoinformatics", "GLOBAL CLIMATE-CHANGE", "DATA-ASSIMILATION", "Meteorology & Atmospheric Sciences", "TEMPERATURE SENSITIVITY", "CMIP5", "MICROBIAL MODELS", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Earth system models", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "TERRESTRIAL ECOSYSTEMS", "Climate Action", "Geochemistry", "Climate change impacts and adaptation", "realistic projections", "13. Climate action", "recommendations", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon dynamics", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Climate Change Impacts and Adaptation", "Environmental Sciences", "PARAMETER-ESTIMATION"]}, "links": [{"href": "https://escholarship.org/content/qt1pw7g2r2/qt1pw7g2r2.pdf"}, {"href": "https://doi.org/10.1002/2015gb005239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015gb005239", "name": "item", "description": "10.1002/2015gb005239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015gb005239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1016/j.ecolmodel.2023.110507", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:47Z", "type": "Journal Article", "created": "2023-10-10", "title": "Interactive effects of microbial functional diversity and carbon availability on decomposition \u2013 A theoretical exploration", "description": "<div><p>Microbial functional diversity in litter and soil has been hypothesized to affect the rate of decomposition of organic matter and other soil ecosystem functions. However, there are no clear theoretical expectations on how these effects might change with substrate availability, heterogeneity in the substrate chemistry, and different aspects of functional diversity itself (number of microbial groups vs. distribution of functional traits). To explore how these factors shape the decomposition-diversity relation, we carry out numerical experiments using a flexible reaction network comprising microbial processes and interactions with bioavailable carbon (extracellular degradation, uptake, respiration, growth, and mortality), and ecological processes (competition among the different groups). We also considered diverse carbon substrates, in terms of varying nominal oxidation state of carbon (NOSC). The reaction network was used to test the effects of (i) number of microbial groups, (ii) number of carbon pools, (iii) microbial functional diversity, and (iv) amount of bioavailable carbon. We found that the decomposition rate constant increases with increasing substrate concentration and heterogeneity, as well as with increasing microbial functional diversity or variance of microbial traits, albeit these biological factors are less important. The multivariate dependence of the decomposition rate constant (and other decomposition and microbial growth metrics) on substrate and microbial factors can be described using power laws with exponents lower than one, indicating that diversity effects on decomposition and microbial growth are reduced at high substrate concentration and heterogeneity, or at high microbial diversity.</p></div>", "keywords": ["Microbial model Organic matter decomposition Organic carbon oxidation state Decomposition kinetics Microbial diversity", "[SDE] Environmental Sciences", "2. Zero hunger", "Organic matter decomposition", "Supplementary Information", "GE", "Ecology", "330", "GF Human ecology. Anthropogeography", "15. Life on land", "ta4112", "GF", "6. Clean water", "12. Responsible consumption", "Ecological Modelling", "Decomposition kinetics", "13. Climate action", "Microbial functional trait", "Microbial diversity-function relation", "Microbial model", "GE Environmental Sciences", "Organic carbon oxidation state"]}, "links": [{"href": "https://doi.org/10.1016/j.ecolmodel.2023.110507"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Modelling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecolmodel.2023.110507", "name": "item", "description": "10.1016/j.ecolmodel.2023.110507", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecolmodel.2023.110507"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.3389/fevo.2021.714134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:40Z", "type": "Journal Article", "created": "2021-09-30", "title": "Intracellular Storage Reduces Stoichiometric Imbalances in Soil Microbial Biomass \u2013 A Theoretical Exploration", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial intracellular storage is key to defining microbial resource use strategies and could contribute to carbon (C) and nutrient cycling. However, little attention has been devoted to the role of intracellular storage in soil processes, in particular from a theoretical perspective. Here we fill this gap by integrating intracellular storage dynamics into a microbially explicit soil C and nutrient cycling model. Two ecologically relevant modes of storage are considered: reserve storage, in which elements are routed to a storage compartment in proportion to their uptake rate, and surplus storage, in which elements in excess of microbial stoichiometric requirements are stored and limiting elements are remobilized from storage to fuel growth and microbial maintenance. Our aim is to explore with this model how these different storage modes affect the retention of C and nutrients in active microbial biomass under idealized conditions mimicking a substrate pulse experiment. As a case study, we describe C and phosphorus (P) dynamics using literature data to estimate model parameters. Both storage modes enhance the retention of elements in microbial biomass, but the surplus storage mode is more effective to selectively store or remobilize C and nutrients according to microbial needs. Enhancement of microbial growth by both storage modes is largest when the substrate C:nutrient ratio is high (causing nutrient limitation after substrate addition) and the amount of added substrate is large. Moreover, storage increases biomass nutrient retention and growth more effectively when resources are supplied in a few large pulses compared to several smaller pulses (mimicking a nearly constant supply), which suggests storage to be particularly relevant in highly dynamic soil microhabitats. Overall, our results indicate that storage dynamics are most important under conditions of strong stoichiometric imbalance and may be of high ecological relevance in soil environments experiencing large variations in C and nutrient supply.</p></article>", "keywords": ["0301 basic medicine", "2. Zero hunger", "ecological stoichiometry", "nutrient limitation", "0303 health sciences", "microbial model", "Ecology", "Evolution", "15. Life on land", "surplus accumulation", "6. Clean water", "reserve storage", "03 medical and health sciences", "13. Climate action", "international", "QH359-425", "Plan_S-Compliant_OA", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.3389/fevo.2021.714134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fevo.2021.714134", "name": "item", "description": "10.3389/fevo.2021.714134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fevo.2021.714134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-30T00:00:00Z"}}, {"id": "10.3389/fevo.2023.1094269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:41Z", "type": "Journal Article", "created": "2023-02-03", "title": "Decomposition rate as an emergent property of optimal microbial foraging", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Decomposition kinetics are fundamental for quantifying carbon and nutrient cycling in terrestrial and aquatic ecosystems. Several theories have been proposed to construct process-based kinetics laws, but most of these theories do not consider that microbial decomposers can adapt to environmental conditions, thereby modulating decomposition. Starting from the assumption that a homogeneous microbial community maximizes its growth rate over the period of decomposition, we formalize decomposition as an optimal control problem where the decomposition rate is a control variable. When maintenance respiration is negligible, we find that the optimal decomposition kinetics scale as the square root of the substrate concentration, resulting in growth kinetics following a Hill function with exponent 1/2 (rather than the Monod growth function). When maintenance respiration is important, optimal decomposition is a more complex function of substrate concentration, which does not decrease to zero as the substrate is depleted. With this optimality-based formulation, a trade-off emerges between microbial carbon-use efficiency (ratio of growth rate over substrate uptake rate) and decomposition rate at the beginning of decomposition. In environments where carbon substrates are easily lost due to abiotic or biotic factors, microbes with higher uptake capacity and lower efficiency are selected, compared to environments where substrates remain available. The proposed optimization framework provides an alternative to purely empirical or process-based formulations for decomposition, allowing exploration of the effects of microbial adaptation on element cycling.</p></article>", "keywords": ["Ekologi", "0301 basic medicine", "0303 health sciences", "microbial model", "Ecology", "Evolution", "Applied Mathematics", "500", "growth-efficiency trade-off", "6. Clean water", "510", "03 medical and health sciences", "13. Climate action", "microbial adaptation", "QH359-425", "decomposition kinetics", "optimization", "Mathematics", "Ecology", " Evolution", " Behavior and Systematics", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.3389/fevo.2023.1094269"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fevo.2023.1094269", "name": "item", "description": "10.3389/fevo.2023.1094269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fevo.2023.1094269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-03T00:00:00Z"}}, {"id": "10.3389/ffgc.2021.686945", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:41Z", "type": "Journal Article", "created": "2021-06-11", "title": "Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics\u2013modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using \u223c80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using \u201cstandard\u201d litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.</p></article>", "keywords": ["2. Zero hunger", "microbial model", "carbon use efficiency", "nitrogen limitation", "Forestry", "extracellular enzymes", "litter decomposition", "04 agricultural and veterinary sciences", "Biological Sciences", "SD1-669.5", "15. Life on land", "microbial stoichiometry", "C/N ratio", "C:N ratio", "12. Responsible consumption", "Environmental sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Biologiska vetenskaper", "GE1-350"]}, "links": [{"href": "https://doi.org/10.3389/ffgc.2021.686945"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/ffgc.2021.686945", "name": "item", "description": "10.3389/ffgc.2021.686945", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/ffgc.2021.686945"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-11T00:00:00Z"}}, {"id": "20.500.11755/6f892ba7-93fa-4ced-ac75-2b5ff43692d6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:12Z", "type": "Journal Article", "created": "2021-09-30", "title": "Intracellular Storage Reduces Stoichiometric Imbalances in Soil Microbial Biomass \u2013 A Theoretical Exploration", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial intracellular storage is key to defining microbial resource use strategies and could contribute to carbon (C) and nutrient cycling. However, little attention has been devoted to the role of intracellular storage in soil processes, in particular from a theoretical perspective. Here we fill this gap by integrating intracellular storage dynamics into a microbially explicit soil C and nutrient cycling model. Two ecologically relevant modes of storage are considered: reserve storage, in which elements are routed to a storage compartment in proportion to their uptake rate, and surplus storage, in which elements in excess of microbial stoichiometric requirements are stored and limiting elements are remobilized from storage to fuel growth and microbial maintenance. Our aim is to explore with this model how these different storage modes affect the retention of C and nutrients in active microbial biomass under idealized conditions mimicking a substrate pulse experiment. As a case study, we describe C and phosphorus (P) dynamics using literature data to estimate model parameters. Both storage modes enhance the retention of elements in microbial biomass, but the surplus storage mode is more effective to selectively store or remobilize C and nutrients according to microbial needs. Enhancement of microbial growth by both storage modes is largest when the substrate C:nutrient ratio is high (causing nutrient limitation after substrate addition) and the amount of added substrate is large. Moreover, storage increases biomass nutrient retention and growth more effectively when resources are supplied in a few large pulses compared to several smaller pulses (mimicking a nearly constant supply), which suggests storage to be particularly relevant in highly dynamic soil microhabitats. Overall, our results indicate that storage dynamics are most important under conditions of strong stoichiometric imbalance and may be of high ecological relevance in soil environments experiencing large variations in C and nutrient supply.</p></article>", "keywords": ["2. Zero hunger", "0301 basic medicine", "ecological stoichiometry", "nutrient limitation", "0303 health sciences", "microbial model", "Ecology", "Evolution", "15. Life on land", "surplus accumulation", "6. Clean water", "reserve storage", "03 medical and health sciences", "13. Climate action", "international", "QH359-425", "Plan_S-Compliant_OA", "QH540-549.5"]}, "links": [{"href": "https://doi.org/20.500.11755/6f892ba7-93fa-4ced-ac75-2b5ff43692d6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11755/6f892ba7-93fa-4ced-ac75-2b5ff43692d6", "name": "item", "description": "20.500.11755/6f892ba7-93fa-4ced-ac75-2b5ff43692d6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11755/6f892ba7-93fa-4ced-ac75-2b5ff43692d6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-30T00:00:00Z"}}, {"id": "2164/22267", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:27Z", "type": "Journal Article", "created": "2023-10-09", "title": "Interactive effects of microbial functional diversity and carbon availability on decomposition \u2013 A theoretical exploration", "description": "<div><p>Microbial functional diversity in litter and soil has been hypothesized to affect the rate of decomposition of organic matter and other soil ecosystem functions. However, there are no clear theoretical expectations on how these effects might change with substrate availability, heterogeneity in the substrate chemistry, and different aspects of functional diversity itself (number of microbial groups vs. distribution of functional traits). To explore how these factors shape the decomposition-diversity relation, we carry out numerical experiments using a flexible reaction network comprising microbial processes and interactions with bioavailable carbon (extracellular degradation, uptake, respiration, growth, and mortality), and ecological processes (competition among the different groups). We also considered diverse carbon substrates, in terms of varying nominal oxidation state of carbon (NOSC). The reaction network was used to test the effects of (i) number of microbial groups, (ii) number of carbon pools, (iii) microbial functional diversity, and (iv) amount of bioavailable carbon. We found that the decomposition rate constant increases with increasing substrate concentration and heterogeneity, as well as with increasing microbial functional diversity or variance of microbial traits, albeit these biological factors are less important. The multivariate dependence of the decomposition rate constant (and other decomposition and microbial growth metrics) on substrate and microbial factors can be described using power laws with exponents lower than one, indicating that diversity effects on decomposition and microbial growth are reduced at high substrate concentration and heterogeneity, or at high microbial diversity.</p></div>", "keywords": ["Microbial model Organic matter decomposition Organic carbon oxidation state Decomposition kinetics Microbial diversity", "[SDE] Environmental Sciences", "2. Zero hunger", "Organic matter decomposition", "Supplementary Information", "GE", "Ecology", "330", "GF Human ecology. Anthropogeography", "15. Life on land", "ta4112", "GF", "6. Clean water", "12. Responsible consumption", "Ecological Modelling", "Decomposition kinetics", "13. Climate action", "Microbial functional trait", "Microbial diversity-function relation", "Microbial model", "GE Environmental Sciences", "Organic carbon oxidation state"]}, "links": [{"href": "https://doi.org/2164/22267"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Modelling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/22267", "name": "item", "description": "2164/22267", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/22267"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "3167308845", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:02Z", "type": "Journal Article", "created": "2021-06-11", "title": "Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics\u2013modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using \u223c80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using \u201cstandard\u201d litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.</p></article>", "keywords": ["2. Zero hunger", "microbial model", "carbon use efficiency", "nitrogen limitation", "Forestry", "extracellular enzymes", "litter decomposition", "04 agricultural and veterinary sciences", "Biological Sciences", "SD1-669.5", "15. Life on land", "microbial stoichiometry", "C/N ratio", "C:N ratio", "12. Responsible consumption", "Environmental sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Biologiska vetenskaper", "GE1-350"]}, "links": [{"href": "https://doi.org/3167308845"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3167308845", "name": "item", "description": "3167308845", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3167308845"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-11T00:00:00Z"}}, {"id": "3202337364", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:05Z", "type": "Journal Article", "created": "2021-09-30", "title": "Intracellular Storage Reduces Stoichiometric Imbalances in Soil Microbial Biomass \u2013 A Theoretical Exploration", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial intracellular storage is key to defining microbial resource use strategies and could contribute to carbon (C) and nutrient cycling. However, little attention has been devoted to the role of intracellular storage in soil processes, in particular from a theoretical perspective. Here we fill this gap by integrating intracellular storage dynamics into a microbially explicit soil C and nutrient cycling model. Two ecologically relevant modes of storage are considered: reserve storage, in which elements are routed to a storage compartment in proportion to their uptake rate, and surplus storage, in which elements in excess of microbial stoichiometric requirements are stored and limiting elements are remobilized from storage to fuel growth and microbial maintenance. Our aim is to explore with this model how these different storage modes affect the retention of C and nutrients in active microbial biomass under idealized conditions mimicking a substrate pulse experiment. As a case study, we describe C and phosphorus (P) dynamics using literature data to estimate model parameters. Both storage modes enhance the retention of elements in microbial biomass, but the surplus storage mode is more effective to selectively store or remobilize C and nutrients according to microbial needs. Enhancement of microbial growth by both storage modes is largest when the substrate C:nutrient ratio is high (causing nutrient limitation after substrate addition) and the amount of added substrate is large. Moreover, storage increases biomass nutrient retention and growth more effectively when resources are supplied in a few large pulses compared to several smaller pulses (mimicking a nearly constant supply), which suggests storage to be particularly relevant in highly dynamic soil microhabitats. Overall, our results indicate that storage dynamics are most important under conditions of strong stoichiometric imbalance and may be of high ecological relevance in soil environments experiencing large variations in C and nutrient supply.</p></article>", "keywords": ["0301 basic medicine", "2. Zero hunger", "ecological stoichiometry", "nutrient limitation", "0303 health sciences", "microbial model", "Ecology", "Evolution", "15. Life on land", "surplus accumulation", "6. Clean water", "reserve storage", "03 medical and health sciences", "13. 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