{"type": "FeatureCollection", "features": [{"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:19Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract

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.

", "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": "10.1029/2021JG006593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:42Z", "type": "Journal Article", "created": "2021-12-07", "title": "Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model", "description": "Abstract

Advancements in microbially explicit ecosystem models incorporate increasingly accurate representations of microbial physiology and enzyme\uffe2\uff80\uff90mediated depolymerization of soil organic matter in predicting biogeochemical responses to global change. However, a major challenge with model structural improvements is the requirement for additional parameters, which are often poorly constrained sources of uncertainty. Furthermore, it is often unclear how to best focus data collection efforts toward reducing model uncertainty. Here, we use Dual Arrhenius Michaelis\uffe2\uff80\uff90Menten Microbial Carbon and Nitrogen Physiology, a microbially mediated, coupled soil C and N cycling model, as a tool to explore the influence of microbial physiological and enzyme kinetic parameters on model estimates. We first quantify the potential for constraining model parameters using empirical measurements of soil respiration. We then use simulated data to identify which additional sources of data collection from the field would provide the greatest impact for constraining model estimates. We find that modeled soil C and N pools and fluxes are disproportionately sensitive to only a few parameters (e.g., activation energies and microbial CUE), while others exert less influence (e.g., Michaelis\uffe2\uff80\uff90Menten half\uffe2\uff80\uff90saturation constants). While some parameters can be constrained by the available data on heterotrophic respiration, the collection of additional data on dissolved organic C and N pools in the soil is identified as a high\uffe2\uff80\uff90priority data need. Improving our ability to model the interactions of soil microbial physiology, soil chemistry, enzyme activities, and environmental factors on C and N cycling will require closely considering model uncertainties and prioritizing future data collection opportunities based on their impact on model performance.Advancements in microbially explicit ecosystem models incorporate increasingly accurate representations of microbial physiology and enzyme\uffe2\uff80\uff90mediated depolymerization of soil organic matter in predicting biogeochemical responses to global change. However, a major challenge with model structural improvements is the requirement for additional parameters, which are often poorly constrained sources of uncertainty. Furthermore, it is often unclear how to best focus data collection efforts toward reducing model uncertainty. Here, we use Dual Arrhenius Michaelis\uffe2\uff80\uff90Menten Microbial Carbon and Nitrogen Physiology, a microbially mediated, coupled soil C and N cycling model, as a tool to explore the influence of microbial physiological and enzyme kinetic parameters on model estimates. We first quantify the potential for constraining model parameters using empirical measurements of soil respiration. We then use simulated data to identify which additional sources of data collection from the field would provide the greatest impact for constraining model estimates. We find that modeled soil C and N pools and fluxes are disproportionately sensitive to only a few parameters (e.g., activation energies and microbial CUE), while others exert less influence (e.g., Michaelis\uffe2\uff80\uff90Menten half\uffe2\uff80\uff90saturation constants). While some parameters can be constrained by the available data on heterotrophic respiration, the collection of additional data on dissolved organic C and N pools in the soil is identified as a high\uffe2\uff80\uff90priority data need. Improving our ability to model the interactions of soil microbial physiology, soil chemistry, enzyme activities, and environmental factors on C and N cycling will require closely considering model uncertainties and prioritizing future data collection opportunities based on their impact on model performance.Soil moisture affects microbial decay of SOM and rhizosphere respiration (RR) in temperate forest soils, but isolating the response of soil respiration (SR) to summer drought and subsequent wetting is difficult because moisture changes are often confounded with temperature variation. We distinguished between temperature and moisture effects by simulation of prolonged soil droughts in a mixed deciduous forest at the Harvard Forest, Massachusetts. Roofs constructed over triplicate 5 \uffc3\uff97 5\uffe2\uff80\uff83m2plots excluded throughfall water during the summers of 2001 (168\uffe2\uff80\uff83mm) and 2002 (344\uffe2\uff80\uff83mm), while adjacent control plots received ambient throughfall and the same natural temperature regime. In 2003, throughfall was not excluded to assess the response of SR under natural weather conditions after two prolonged summer droughts. Throughfall exclusion significantly decreased mean SR rate by 53\uffe2\uff80\uff83mg\uffe2\uff80\uff83C\uffe2\uff80\uff83m\uffe2\uff88\uff922\uffe2\uff80\uff83h\uffe2\uff88\uff921over 84 days in 2001, and by 68\uffe2\uff80\uff83mg\uffe2\uff80\uff83C\uffe2\uff80\uff83m\uffe2\uff88\uff922\uffe2\uff80\uff83h\uffe2\uff88\uff921over 126 days in 2002, representing 10\uffe2\uff80\uff9330% of annual SR in this forest and 35\uffe2\uff80\uff9375% of annual net ecosystem exchange (NEE) of C. The differences in SR were best explained by differences in gravimetric water content in the Oi horizon (r2=0.69) and the Oe/Oa horizon (r2=0.60). Volumetric water content of the A horizon was not significantly affected by throughfall exclusion. The radiocarbon signature of soil CO2efflux and of CO2respired during incubations of O horizon, A horizon and living roots allowed partitioning of SR into contributions from young C substrate (including RR) and from decomposition of older SOM. RR (root respiration and microbial respiration of young substrates in the rhizosphere) made up 43\uffe2\uff80\uff9371% of the total C respired in the control plots and 41\uffe2\uff80\uff9380% in the exclusion plots, and tended to increase with drought. An exception to this trend was an interesting increase in CO2efflux of radiocarbon\uffe2\uff80\uff90rich substrates during a period of abundant growth of mushrooms.

Our results suggest that prolonged summer droughts decrease primarily heterotrophic respiration in the O horizon, which could cause increases in the storage of soil organic carbon in this forest. However, the C stored during two summers of simulated drought was only partly released as increased respiration during the following summer of natural throughfall. We do not know if this soil C sink during drought is transient or long lasting. In any case, differential decomposition of the O horizon caused by interannual variation of precipitation probably contributes significantly to observed interannual variation of NEE in temperate forests.

", "keywords": ["Ecology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "soil respiration", "6. Clean water", "soil drought", "heterotrophic respiration", "rhizosphere respiration", "13. Climate action", "soil organic matter", "temperate forest", "radiocarbon", "0401 agriculture", " forestry", " and fisheries", "soil wetting", "soil moisture", "Q(10)", "Environmental Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt3mk9v58k/qt3mk9v58k.pdf"}, {"href": "https://doi.org/10.1111/j.1365-2486.2005.001058.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2005.001058.x", "name": "item", "description": "10.1111/j.1365-2486.2005.001058.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2005.001058.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-11-28T00:00:00Z"}}, {"id": "10.1111/sum.12202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:08Z", "type": "Journal Article", "created": "2015-07-29", "title": "Effects Of Biochar Amendment On Greenhouse Gas Emissions, Net Ecosystem Carbon Budget And Properties Of An Acidic Soil Under Intensive Vegetable Production", "description": "Abstract

Biochar addition to soils has been frequently proposed as a means to increase soil fertility and carbon (C) sequestration. However, the effect of biochar addition on greenhouse gas emissions from intensively managed soils under vegetable production at the field scale is poorly understood. The effects of wheat straw biochar amendment with mineral fertilizer or an enhanced\uffe2\uff80\uff90efficiency fertilizer (mixture of urea and nitrapyrin) on N2O efflux and the net ecosystem C budget were investigated for an acidic soil in southeast China over a 1\uffe2\uff80\uff90yr period. Biochar addition did not affect the annual N2O emissions (26\uffe2\uff80\uff9328\uffc2\uffa0kg N/ha), but reduced seasonal N2O emissions during the cold period. Biochar increased soil organic C and CO2 efflux on average by 61 and 19%, respectively. Biochar addition greatly increased C gain in the acidic soil (average 11.1\uffc2\uffa0Mg C/ha) compared with treatments without biochar addition (average \uffe2\uff88\uff922.2\uffc2\uffa0Mg C/ha). Biochar amendment did not increase yield\uffe2\uff80\uff90scaled N2O emissions after application of mineral fertilizer, but it decreased yield\uffe2\uff80\uff90scaled N2O by 15% after nitrapyrin addition. Our results suggest that biochar amendment of acidic soil under intensive vegetable cultivation contributes to soil C sequestration, but has only small effects on both plant growth and greenhouse gas emissions.

", "keywords": ["2. Zero hunger", "330", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "Nitrification inhibitor", "7. Clean energy", "Soil heterotrophic respiration", "6. Clean water", "12. Responsible consumption", "Biochar", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1111/sum.12202"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12202", "name": "item", "description": "10.1111/sum.12202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-29T00:00:00Z"}}, {"id": "10.5281/zenodo.4268864", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:27Z", "type": "Dataset", "title": "LandModels", "description": "This repository is for the manuscript: 'Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models'", "keywords": ["15. Life on land", "Soil organic carbon models", " heterotrophic respiration", " MIMICS", " CASACNP", " CORPSE", " benchmarking"], "contacts": [{"organization": "Jian, Jinshi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4268864"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4268864", "name": "item", "description": "10.5281/zenodo.4268864", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4268864"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-12T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HETEROTROPHIC+RESPIRATION&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HETEROTROPHIC+RESPIRATION&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HETEROTROPHIC+RESPIRATION&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HETEROTROPHIC+RESPIRATION&offset=6", "hreflang": "en-US"}], "numberMatched": 6, "numberReturned": 6, "distributedFeatures": [], "timeStamp": "2026-07-26T13:11:34.491779Z"}