{"type": "FeatureCollection", "features": [{"id": "10.1111/gcb.15420", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:17:17Z", "type": "Journal Article", "created": "2021-03-04", "title": "Microbial inputs at the litter layer translate climate into altered organic matter properties", "description": "

<p>Plant litter chemistry is altered during decomposition but it remains unknown if these alterations, and thus the composition of residual litter, will change in response to climate. Selective microbial mineralization of litter components and the accumulation of microbial necromass can drive litter compositional change, but the extent to which these mechanisms respond to climate remains poorly understood. We addressed this knowledge gap by studying needle litter decomposition along a boreal forest climate transect. Specifically, we investigated how the composition and/or metabolism of the decomposer community varies with climate, and if that variation is associated with distinct modifications of litter chemistry during decomposition. We analyzed the composition of microbial phospholipid fatty acids (PLFAs) in the litter layer and measured natural abundance δ<sup>13</sup>C<sub>PLFA</sub> values as an integrated measure of microbial metabolisms. Changes in litter chemistry and δ<sup>13</sup>C values were measured in litterbag experiments conducted at each transect site. A warmer climate was associated with higher litter nitrogen concentrations as well as altered microbial community structure (lower fungi:bacteria ratios) and microbial metabolism (higher δ<sup>13</sup>C<sub>PLFA</sub>). Litter in warmer transect regions accumulated less aliphatic‐C (lipids, waxes) and retained more O‐alkyl‐C (carbohydrates), consistent with enhanced <sup>13</sup>C‐enrichment in residual litter, than in colder regions. These results suggest that chemical changes during litter decomposition will change with climate, driven primarily by indirect climate effects (e.g., greater nitrogen availability and decreased fungi:bacteria ratios) rather than direct temperature effects. A positive correlation between microbial biomass δ<sup>13</sup>C values and <sup>13</sup>C‐enrichment during decomposition suggests that change in litter chemistry is driven more by distinct microbial necromass inputs than differences in the selective removal of litter components. Our study highlights the role that microbial inputs during early litter decomposition can play in shaping surface litter contribution to soil organic matter as it responds to climate warming effects such as greater nitrogen availability.</p>

", "keywords": ["DECOMPOSITION", "C-13", "CP‐", "necromass", "litter decomposition", "COMMUNITY COMPOSITION", "Soil", "CARBON SEQUESTRATION", "Taiga", "boreal forest", "bacteria", "C-13 NMR", "TEMPERATURE", "Biochemistry", " cell and molecular biology", "Soil Microbiology", "FUNGAL", "2. Zero hunger", "MAS C-13‐", "Fungi", "04 agricultural and veterinary sciences", "15. Life on land", "NMR", "6. Clean water", "climate transect", "Plant Leaves", "13. Climate action", "FOREST SOILS", "PLFA", "0401 agriculture", " forestry", " and fisheries", "fungi", "FATTY-ACIDS", "BULK CARBON", "LIGNIN"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15420"}, {"href": "https://doi.org/10.1111/gcb.15420"}, {"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/gcb.15420", "name": "item", "description": "10.1111/gcb.15420", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.15420"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-16T00:00:00Z"}}, {"id": "10.3390/f8070249", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:18:44Z", "type": "Journal Article", "created": "2017-07-13", "title": "Fine Root Dynamics In Afromontane Forest And Adjacent Land Uses In The Northwest Ethiopian Highlands", "description": "

Fine roots are a major pathway of C input into soils. The aim of this study was to quantify fine root stocks, production and turnover in natural forest and land use systems converted from forests in Ethiopia. The study was conducted in a remnant Afromontane forest, eucalyptus plantation and grass and cropland in NW Ethiopia. Fine root dynamics were investigated using three different methods: sequential coring, in-growth cores and in-growth nets. Soil cores for sequential analyses were taken in quarterly intervals, while in-growth cores and nets were harvested corresponding to 1-, 2-, 3-, 4-, 5-, 8- and 12-month interval. Fine root stocks averaged 564, 425, 56 and 46 g\uffc2\uffb7m\uffe2\uff88\uff922 in the forest, eucalyptus, grazing land and cropland ecosystems, respectively. The values decreased exponentially with increasing soil depth. In forest and eucalyptus, fine root biomass and necromass were highest in the dry season. Estimates of fine root production differed according to the method used. Fine root production based on in-growth coring averaged 468, 293, 70 and 52 g m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921. In general, land use conversion from forest to open lands reduced fine root production by 85\uffe2\uff80\uff9391%. The turnover rate of fine roots was 1.5 for forest and 2.1 for eucalyptus plantation.

", "keywords": ["0106 biological sciences", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "biomass; necromass; fine root stock; root production; sequential coring; in-growth core; turnover rate; carbon efflux; decision matrix", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/8/7/249/pdf"}, {"href": "https://doi.org/10.3390/f8070249"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f8070249", "name": "item", "description": "10.3390/f8070249", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f8070249"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-13T00:00:00Z"}}, {"id": "10.5061/dryad.2f70818", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:19:05Z", "type": "Dataset", "title": "Data from: Differences in carbon stocks along an elevational gradient in tropical mountain forests of Colombia", "description": "unspecifiedTropical mountain forests provide an exceptional opportunity to evaluate the patterns of variation of carbon stocks along elevational gradients that correspond to well-defined temperature gradients. We predicted that carbon stored in live aboveground biomass, aboveground necromass, and soil components of forests on the eastern flank of the Colombian Andes would change with elevation along this gradient extending from 750 to 2800 m above sea level. The rationale was that the corresponding change in temperature (14\u00b0C to 26\u00b0C) would influence tree growth and decomposition of organic matter. To address this hypothesis, we examined the carbon stored in these three components using data from 20 0.25-ha plots located along this elevational gradient. The mean total carbon stock found in the study region was 241.3\u00b137.5 Mg C/ha. Aboveground carbon stocks decreased with elevation (p =0.001), as did necromass carbon stocks (p =0.016). Although soil organic carbon stocks did not differ significantly along the gradient (p =0.153), they contributed proportionately more at higher than at lower elevations, counterbalancing the opposite trends in aboveground carbon and necromass carbon stocks. As such, total carbon stocks did not vary significantly along the elevational gradient (p =0.576).", "keywords": ["carbon stocks", "soil organic carbon", "live aboveground biomass", "aboveground necromass", "15. Life on land", "Colombian Andes", "uncertainty analysis"], "contacts": [{"organization": "Phillips, Juan, Ramirez, Sebastian, Wayson, Craig, Duque, Alvaro,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.2f70818"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.2f70818", "name": "item", "description": "10.5061/dryad.2f70818", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.2f70818"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-19T00:00:00Z"}}, {"id": "10.5061/dryad.g1jwstqx5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:19:09Z", "type": "Dataset", "created": "2023-09-27", "title": "Microbial traits dictate soil neromass accumulation coefficient: A global synthesis", "description": "unspecified# Readme **Title** Microbial necromass carbon accumulation coefficients (NAC) dataset **Author** Bingbing Han, Yanzhong Yao, Yini Wang, Xiaoxuan Su, Lihua Ma, Xinping Chen, Zhaolei Li * **Corresponding author:** Zhaolei Li, Professor E-mail: lizhaolei@swu.edu.cn **Correspondence address:** College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University, Chongqing 400715, China **Data abstract** The accumulation of microbial necromass carbon has drawn mounting attention due to the slow decomposition. However, it remains unclear what determines the microbial necromass carbon accumulation via reiterated community turnover on large spatial scales. This study aimed to explore the characteristics of soil necromass carbon accumulation in terrestrial ecosystems. A dataset was compiled with 993 observations on the coefficient of microbial carbon accumulation in the equilibrium from 82 peer-reviewed papers. The linear mixed-effect models and structural equation models were used to ascertain the controlling factors of NAC on a global scale. The average NAC was higher in croplands (28.2) and forests (26.8) than that in grasslands (21.1). Although the edaphic factors seemingly affect the NAC whereby the NAC lowered in soils with high levels of pH and clay content on a global scale, the biotic factors, particularly for the living microorganism abundance and microbial biomass nitrogen content, were the pivotal drivers of NAC that accounted for approximately 42.5% of the geographic variances in NAC. More organic carbon was likely to be preserved in soil with a higher NAC regardless of ecosystem types. Novel findings on the overriding controls from the living microorganism abundance and microbial biomass nitrogen in driving NAC raise an urgent need for viable strategies in manipulating microbial characteristics for carbon sequestrations. **Data collect** The NACs dataset was compiled from peer-reviewed papers. These peer-reviewed papers were obtained by means of two platforms: the Web of Science ([http://apps.webofkonwledge.com](http://apps.webofkonwledge.com)) and the China National Knowledge Infrastructure Database ([http://www.cnki.net](http://www.cnki.net)). At the same time, the papers were supplemented by Google Scholar. The keywords used to search papers are soil microbial biomass AND microbial necromass AND microbial residue * AND amino sugar * AND PLFAs. The publishing date for the peer-reviewed paper was up to January 20, 2023. The eligible peer-reviewed papers matched the following criteria: (1) Soil microbial necromass was measured using amino sugars as markers; (2) The living microorganisms were determined by phospholipid fatty acid (PLFAs). Finally, the NAC dataset was constructed based on the 82 peer-reviewed papers. The details of the experimental site were also extracted from papers, including the geographic information of the experiment site (i.e., latitude and longitude), climate conditions (i.e., mean annual temperature and mean annual precipitation), and ecosystem types (i.e., grasslands, forests, and croplands). Additionally, soil physicochemical properties [soil pH, the ratio of carbon to nitrogen (soil C: N), total nitrogen (TN), bulk density (BD), clay content, and ammonium content (NH4+)] and the number of replicates were also extracted from the articles. Additionally, in the NAC dataset, the empty cells are representing the data scarcity (i.e., NA values). You should know that not every article will contain all the metrics. **Data analysis** The content of fungal and bacterial necromass carbon was calculated based on the concentrations of amino sugar in microbial cell walls: glucosamine and muramic acid. The bacterial necromass carbon and fungal necromass carbon were calculated using equations (1) and (2). where, MurA is muramic acid and GlcN is glucosamine. In equation (1), 45 is the conversion factor from MurA to bacterial necromass carbon; in equation (2), 9 is the conversion factor from GlcN to fungal necromass carbon; while 179.17 and 251.23 are the molecule weights of GlcN and MurA, respectively. Total microbial necromass carbon was the sum of fungal necromass carbon and bacterial necromass carbon. For the absence of microbial biomass carbon (MBC) in some experimental sites. The NAC functions as the ratio of the microbial necromass carbon to microbial biomass carbon: where MBC is soil microbial biomass carbon. The linear mixed-effect models were used to test the bivariate relationship between the NAC and environmental factor by means of *lme4* packages in R (version 4.2.2., R Core Team). The equation (4) was: where NAC refers to the microbial necromass carbon accumulation coefficient, lnX is the logarithm of each edaphic and climatic factor (except for soil pH and fungi: bacteria ratio), refers to the intercept of this model, refers to the slope value, refers to the random effect of study, refers to the sampling error. **Document Type** We will upload it in data _NAC _2023.csv format to the Dryad database. The main variables collected in the data form were muramic acid (MurA) and glucosamine (GlcN). We perform the calculation of NAC based on equations 1, 2, and 3 above. Total biomass represents the abundance of living microorganisms. Fungal biomass represents the abundance of fungi. Bacterial biomass represents the abundance of bacteria. MBC is microbial biomass nitrogen. SOC is soil organic carbon. **Data processing software** We processed the entire set of data by utilizing the R language, version 4.2.2., R Core Team. **Contact Information** **Corresponding author:** Zhaolei Li, Professor **E-mail:** [lizhaolei@swu.edu.cn](mailto:lizhaolei@swu.edu.cn) **ORCID:** [https://orcid.org/0000-0001-8767-1277](https://orcid.org/0000-0001-8767-1277)", "keywords": ["2. Zero hunger", "microbial abundance", "soil carbon sequestration", "microbial necromass carbon", "living microbes", "FOS: Earth and related environmental sciences", "15. Life on land", "microbial carbon pump", "ecosystem type"], "contacts": [{"organization": "Han, Bingbing, Yao, Yan Zhong, Wang, Yini, Su, Xiaoxuan, Ma, Lihua, Chen, Xinping, Li, Zhaolei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.g1jwstqx5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.g1jwstqx5", "name": "item", "description": "10.5061/dryad.g1jwstqx5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.g1jwstqx5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.5061/dryad.m0cfxpp9w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:19:10Z", "type": "Dataset", "created": "2024-01-03", "title": "Organo-organic interactions dominantly drive soil organic carbon accrual", "description": "unspecifiedOrgano-mineral interactions have been regarded as the primary mechanism for the stabilization of soil organic carbon (SOC) over decadal to millennial timescales, and the capacity for soil carbon (C) storage has commonly been assessed based on soil mineralogical attributes, particularly mineral surface availability. However, it remains contentious whether soil C sequestration is exclusively governed by mineral vacancies, making it challenging to accurately predict SOC dynamics. Here, through a 400-day incubation experiment using 13C-labeled organic materials in two contrasting soils (i.e., Mollisol and Ultisol), we show that despite the unsaturation of mineral surfaces in both soils, the newly incorporated C predominantly adheres to 'dirty' mineral surfaces coated with native organic matter (OM), demonstrating the crucial role of organo-organic interactions in exogenous C sequestration. Such interactions lead to multilayered C accumulation that is not constrained by mineral vacancies, a process distinct from direct organo-mineral contacts. The coverage of native OM by new C, representing the degree of organo-organic interactions, is noticeably larger in Ultisol (~14.2%) than in Mollisol (~5.8%), amounting to the net retention of exogenous C in Ultisol by 0.2\u20131.3 g kg\u22121 and in Mollisol by 0.1\u20131.0 g kg\u22121. Additionally, organo-organic interactions are primarily mediated by polysaccharide-rich microbial necromass. Further evidence indicates that iron oxides can selectively preserve polysaccharide compounds, thereby promoting the organo-organic interactions. Overall, our findings provide direct empirical evidence for an overlooked but critically important pathway of C accumulation, challenging the prevailing \u201cC saturation\u201d concept that emphasizes the overriding role of mineral vacancies. It is estimated that, through organo-organic interactions, global Mollisols and Ultisols might sequester ~0.1\u20131.0 Pg C and ~0.3\u20131.7 Pg C per year, respectively, corresponding to the neutralization of ca. 0.5%\u20133.0% of soil C emissions or 5%\u201330% of fossil fuel combustion globally.", "keywords": ["organo-organic interactions", "mineral-associated organic carbon", "SR-FTIR", "SOC accrual", "NanoSIMS", "FOS: Earth and related environmental sciences", "microbial necromass", "stable C isotope"], "contacts": [{"organization": "Kang, Jie, Qu, Chenchen, Chen, Wenli, Cai, Peng, Chen, Chengrong, Huang, Qiaoyun,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.m0cfxpp9w"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.m0cfxpp9w", "name": "item", "description": "10.5061/dryad.m0cfxpp9w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.m0cfxpp9w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-15T00:00:00Z"}}, {"id": "10.5061/dryad.5f5g8", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-09-19T16:19:06Z", "type": "Dataset", "title": "Data from: Melanization of mycorrhizal fungal necromass structures microbial decomposer communities", "description": "unspecifiedMeliniomyces_EA_Melanin_DecompositionElemental analyses, melanin concentration and decomposition data for melanized and non-melanized Meliniomyces bicolor necromass.Meliniomyces_Decomposition_EA_Dryad_Submission.xlsx", "keywords": ["mycorrhizal fungi", "necromass", "Melanin", "Carbon cycle", "15. Life on land", "Nitrogen cycle", "Meliniomyces bicolor"], "contacts": [{"organization": "Fernandez, Christopher W., Kennedy, Peter G.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5f5g8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5f5g8", "name": "item", "description": "10.5061/dryad.5f5g8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5f5g8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-20T00:00:00Z"}}, {"id": "10.5061/dryad.c59zw3rf9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:19:08Z", "type": "Dataset", "created": "2023-09-28", "title": "Fungal necromass is reduced by intensive drought in subsoil but not in topsoil", "description": "unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A drought simulation experiment was conducted on a poplar plantations in Jiangsu, China. In this study, the precipitation input was controlled by the rain canopy to simulate different drought conditions. We established three treatments, including a control without throughfall reduction (CK); moderate treatment with a 30% throughfall reduction (D30%); and intensive treatment with a 50% throughfall reduction (D50%). Each treatment was set up with three replicates for a total of nine plots. Soil samples were extracted from all nine plots in 2021 (January in Winter, April in Spring, July in Summer, and October in Autumn). The soil samples collected for each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured the content of microbial necromass in these soil samples as well as soil properties. Based on these data, we analyzed the ecological correlations between soil depth, drought intensity, soil properties and microbial necromass. ## Description of the data and file structure This dataset showed the raw data we used in the manuscript. [Treatments] CK means soil samples without throughfall removal, D30% means soil samples with 30% throughfall removal, and D50% implies soil samples with 50% throughfall removal. [Variables] Temp means soil temperature, Mois means soil moisture, FNC means fungal necromass carbon , BNC means beterial necromass carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons] Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July, 2021); Aut: Auntumn (October, 2021). *These data is aggregated in an Excel file that can be accessed and observed in the corresponding tabs. ## Code/Software This data file can be opened and accessed using Microsoft Excel.", "keywords": ["2. Zero hunger", "soil organic carbon", "fungal necromass", "13. Climate action", "soil depth", "bacterial necromass", "15. Life on land", "throughfall removal", "6. Clean water", "FOS: Natural sciences"], "contacts": [{"organization": "Liu, Yuwei, Zou, Xiaoming, Chen, Han, Baquerizo, Manuel Delgado, Wang, Cuiting, Zhang, Chen, Ruan, Honghua,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.c59zw3rf9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c59zw3rf9", "name": "item", "description": "10.5061/dryad.c59zw3rf9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c59zw3rf9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-02T00:00:00Z"}}, {"id": "10.5194/egusphere-egu21-5218", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:19:18Z", "type": "Journal Article", "created": "2021-03-04", "title": "Microbial inputs at the litter layer translate climate into altered organic matter properties", "description": "

<p>Plant litter chemistry is altered during decomposition but it remains unknown if these alterations, and thus the composition of residual litter, will change in response to climate. Selective microbial mineralization of litter components and the accumulation of microbial necromass can drive litter compositional change, but the extent to which these mechanisms respond to climate remains poorly understood. We addressed this knowledge gap by studying needle litter decomposition along a boreal forest climate transect. Specifically, we investigated how the composition and/or metabolism of the decomposer community varies with climate, and if that variation is associated with distinct modifications of litter chemistry during decomposition. We analyzed the composition of microbial phospholipid fatty acids (PLFAs) in the litter layer and measured natural abundance δ<sup>13</sup>C<sub>PLFA</sub> values as an integrated measure of microbial metabolisms. Changes in litter chemistry and δ<sup>13</sup>C values were measured in litterbag experiments conducted at each transect site. A warmer climate was associated with higher litter nitrogen concentrations as well as altered microbial community structure (lower fungi:bacteria ratios) and microbial metabolism (higher δ<sup>13</sup>C<sub>PLFA</sub>). Litter in warmer transect regions accumulated less aliphatic‐C (lipids, waxes) and retained more O‐alkyl‐C (carbohydrates), consistent with enhanced <sup>13</sup>C‐enrichment in residual litter, than in colder regions. These results suggest that chemical changes during litter decomposition will change with climate, driven primarily by indirect climate effects (e.g., greater nitrogen availability and decreased fungi:bacteria ratios) rather than direct temperature effects. A positive correlation between microbial biomass δ<sup>13</sup>C values and <sup>13</sup>C‐enrichment during decomposition suggests that change in litter chemistry is driven more by distinct microbial necromass inputs than differences in the selective removal of litter components. Our study highlights the role that microbial inputs during early litter decomposition can play in shaping surface litter contribution to soil organic matter as it responds to climate warming effects such as greater nitrogen availability.</p>

", "keywords": ["DECOMPOSITION", "C-13", "CP‐", "necromass", "litter decomposition", "COMMUNITY COMPOSITION", "Soil", "CARBON SEQUESTRATION", "Taiga", "boreal forest", "bacteria", "C-13 NMR", "TEMPERATURE", "Biochemistry", " cell and molecular biology", "Soil Microbiology", "FUNGAL", "2. Zero hunger", "MAS C-13‐", "Fungi", "04 agricultural and veterinary sciences", "15. Life on land", "NMR", "6. Clean water", "climate transect", "Plant Leaves", "13. Climate action", "FOREST SOILS", "PLFA", "0401 agriculture", " forestry", " and fisheries", "fungi", "FATTY-ACIDS", "BULK CARBON", "LIGNIN"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15420"}, {"href": "https://doi.org/10.5194/egusphere-egu21-5218"}, {"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": "10.5194/egusphere-egu21-5218", "name": "item", "description": "10.5194/egusphere-egu21-5218", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu21-5218"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-16T00:00:00Z"}}, {"id": "10.5281/zenodo.16310622", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-09-19T16:20:11Z", "type": "Dataset", "title": "Dataset for substrate stoichiometry drive the divergent accumulation of plant and microbial necromass carbon", "description": "To optimize the conversion of exogenous C into soil organic C, we manipulated the substrate stoichiometry (SS) match the requirements ranging from oligotrophs to copiotrophs. We assumed the stoichiometric ratios of fungi (C:N:P:S=10,000:1034:110:94) and bacteria (C:N:P:S=10,000:2004:494: 264) reflected substrate requirements of oligotrophs and copiotrophs. This study provided different SS levels by applying varying amounts of straw and N, P, and S. A total of five treatment groups were established: straw\u2011amended soil with no nutrient addition (NPS0), NPS0 with nutrient additions to meet the metabolic requirements from fungi (NPS1) to bacteria (NPS3), and a control soil (CK). The straw, cut into 2\u20135 mm pieces, was mixed with soil at a rate of 2 g per 100 g dry soil. The SS was regulated by adding or not adding the nutrient solutions (NS1, NS2 or NS3) containing ammonium nitrate, potassium dihydrogen phosphate, and ammonium sulfate (pH = 7). The concentrations of N, P, and S in NS1 were 6.42, 1.79, and 0.95 g L\u22121, in NS2 were 19.50, 3.52, and 1.90 g L\u22121, and in NS3 were 30.72, 9.98, and 4.23 g L\u22121, respectively. Topsoil (0\u201320 cm) and subsoil (20\u201340 cm) samples (8 kg each) were collected, sieved at 2 mm, and air-dry. The SS was regulated by adding 1 ml of NS1, NS2, or NS3 to 100 g of dry topsoil on a clean and smooth plastic sheet. The soil moisture was then adjusted to 60% field capacity with distilled water, followed by the addition and mixing of 2 g straw fragments. The mixture was then transferred to nylon mesh bags and sealed (aperture: 0.048 mm, length: 20 cm, and width: 15 cm). The subsoil was treated in the same manner. Nine replicates were maintained for each treatment for both topsoil or subsoil. Three soil pits (length: 1.5 m, width: 0.5 m, depth: 0.4 m) spaced at 0.6 m apart were dug in the field, and the topsoil and subsoil were stored separately. Three replicates of each treatment for subsoil were arranged in two rows (spaced approximately 20 cm) and vertically placed at 20\u201340 cm in each pit. Each pit was backfilled with the original subsoil. The same procedure was followed to fill the pits with the replicates of the five treatments for topsoil. All replicates from one pit were collected at 30, 90, and 150 days post-sowing, then brought back to the laboratory with dry ice and stored at \u201380\u2103. This study primarily investigated the following parameters: including (1) amino sugars, lignin phenols, soil water content, soil organic C (SOC), available N (AN), and available P (SAP); (2) C, N, and P cycling enzyme activities (cellobiohydrolase (CBH), \u03b2-glucosidase (BG), L-leucine aminopeptidase (LAP), \u00a0\u03b2-N-acetylglucosaminidase (NAG), and acid phosphatase (AP)); and (3) bacterial and fungal diversity and community composition at the phylum level. The main statistical analyses employed included one-way ANOVA, principal coordinates analysis (PCoA), and random forest models.", "keywords": ["agricultural residues", " microbial stoichiometry metabolism", " microbial necromass carbon"], "contacts": [{"organization": "Wu", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16310622"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16310622", "name": "item", "description": "10.5281/zenodo.16310622", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16310622"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-22T00:00:00Z"}}, {"id": "10138/335756", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:21:07Z", "type": "Journal Article", "created": "2021-03-04", "title": "Microbial inputs at the litter layer translate climate into altered organic matter properties", "description": "

<p>Plant litter chemistry is altered during decomposition but it remains unknown if these alterations, and thus the composition of residual litter, will change in response to climate. Selective microbial mineralization of litter components and the accumulation of microbial necromass can drive litter compositional change, but the extent to which these mechanisms respond to climate remains poorly understood. We addressed this knowledge gap by studying needle litter decomposition along a boreal forest climate transect. Specifically, we investigated how the composition and/or metabolism of the decomposer community varies with climate, and if that variation is associated with distinct modifications of litter chemistry during decomposition. We analyzed the composition of microbial phospholipid fatty acids (PLFAs) in the litter layer and measured natural abundance δ<sup>13</sup>C<sub>PLFA</sub> values as an integrated measure of microbial metabolisms. Changes in litter chemistry and δ<sup>13</sup>C values were measured in litterbag experiments conducted at each transect site. A warmer climate was associated with higher litter nitrogen concentrations as well as altered microbial community structure (lower fungi:bacteria ratios) and microbial metabolism (higher δ<sup>13</sup>C<sub>PLFA</sub>). Litter in warmer transect regions accumulated less aliphatic‐C (lipids, waxes) and retained more O‐alkyl‐C (carbohydrates), consistent with enhanced <sup>13</sup>C‐enrichment in residual litter, than in colder regions. These results suggest that chemical changes during litter decomposition will change with climate, driven primarily by indirect climate effects (e.g., greater nitrogen availability and decreased fungi:bacteria ratios) rather than direct temperature effects. A positive correlation between microbial biomass δ<sup>13</sup>C values and <sup>13</sup>C‐enrichment during decomposition suggests that change in litter chemistry is driven more by distinct microbial necromass inputs than differences in the selective removal of litter components. Our study highlights the role that microbial inputs during early litter decomposition can play in shaping surface litter contribution to soil organic matter as it responds to climate warming effects such as greater nitrogen availability.</p>

", "keywords": ["DECOMPOSITION", "C-13", "CP‐", "necromass", "litter decomposition", "COMMUNITY COMPOSITION", "Soil", "CARBON SEQUESTRATION", "Taiga", "boreal forest", "bacteria", "C-13 NMR", "TEMPERATURE", "Biochemistry", " cell and molecular biology", "Soil Microbiology", "FUNGAL", "2. Zero hunger", "MAS C-13‐", "Fungi", "04 agricultural and veterinary sciences", "15. Life on land", "NMR", "6. Clean water", "climate transect", "Plant Leaves", "13. Climate action", "FOREST SOILS", "PLFA", "0401 agriculture", " forestry", " and fisheries", "fungi", "FATTY-ACIDS", "BULK CARBON", "LIGNIN"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15420"}, {"href": "https://doi.org/10138/335756"}, {"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": "10138/335756", "name": "item", "description": "10138/335756", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/335756"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-16T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=necromass&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=necromass&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=necromass&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=necromass&offset=10", "hreflang": "en-US"}], "numberMatched": 10, "numberReturned": 10, "distributedFeatures": [], "timeStamp": "2026-09-20T13:00:19.375272Z"}