{"type": "FeatureCollection", "features": [{"id": "10.1007/s11104-022-05382-9", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T06:56:00Z", "type": "Journal Article", "created": "2022-01-11", "title": "On maintenance and metabolisms in soil microbial communities", "description": "Abstract         <p>Biochemistry is an essential yet often undervalued aspect of soil ecology, especially in soil C cycling. We assume based on tradition, intuition or hope that the complexity of biochemistry is confined to the microscopic world, and can be ignored when dealing with whole soil systems. This opinion paper draws attention to patterns caused by basic biochemical processes that permeate the world of ecosystem processes. From these patterns, we can estimate activities of the biochemical reactions of the central C metabolic network and gain insights into the ecophysiology of microbial biosynthesis and growth and maintenance energy requirements; important components of Carbon Use Efficiency (CUE).The biochemical pathways used to metabolize glucose vary from soil to soil, with mostly glycolysis in some soils, and pentose phosphate or Entner-Doudoroff pathways in others. However, notwithstanding this metabolic diversity, glucose use efficiency is high and thus substrate use for maintenance energy and overflow respiration is low in these three soils. These results contradict current dogma based on four decades of research in soil ecology. We identify three main shortcomings in our current understanding of substrate use efficiency: 1) in numeric and conceptual models, we lack appreciation of the strategies that microbes employ to quickly reduce energy needs in response to starvation; 2) production of exudates and microbial turnover affect whole-soil CUE more than variation in maintenance energy demand; and 3) whether tracer experiments can be used to measure the long-term substrate use efficiency of soil microbial communities depends critically on the ability of non-growing cells to take up tracer substrates, how biosynthesis responds to these substrates, as well as on how cellular activities scale to the community level.To move the field of soil ecology forward, future research must consider the details of microbial ecophysiology and develop new tools that enable direct measurement of microbial functioning in intact soils. We submit that 13C metabolic flux analysis is one of those new tools.</p>", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Embden-Meyerhof-Parnass glycolysis", "Biochemical efficiency", "Maintenance", "Entner-Doudoroff pathway", "Carbon use efficiency", "Metabolic flux analysis", "15. Life on land", "Turnover", "Grassland", "03 medical and health sciences", "Marsh", "13. Climate action", "Exudation", "Forest", "Pentose phosphate pathway"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11104-022-05382-9.pdf"}, {"href": "https://doi.org/10.1007/s11104-022-05382-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-022-05382-9", "name": "item", "description": "10.1007/s11104-022-05382-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-022-05382-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-11T00:00:00Z"}}, {"id": "10.1016/j.foreco.2022.120355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:57:09Z", "type": "Journal Article", "created": "2022-06-22", "title": "Do mycorrhizal symbionts drive latitudinal trends in photosynthetic carbon use efficiency and carbon sequestration in boreal forests?", "description": "There is evidence that carbon fluxes and stocks decrease with increasing latitude in boreal forests, suggesting a reduction in carbon use efficiency. While vegetation and soil carbon dynamics have been widely studied, the empirical finding that ectomycorrhizal fungi (ECM) become more abundant towards the north has not been quantitatively linked to carbon use efficiency. We formulated a conceptual model of combined fine-root and ECM carbon use efficiency (CUE) as NPP/GPP (net primary production/gross primary production). For this, we included the mycorrhiza as gains in plant NPP but considered the extramatrical hyphae as well as exudates as losses. We quantified the carbon processes across a latitudinal gradient using published eco-physiological and morphological measurements from boreal coniferous forests. In parallel, we developed two CUE models using large-scale empirical measurements amended with established models. All models predicted similar latitudinal trends in vegetation CUE and net ecosystem production (NEP). CUE in the ECM model declined on average by 0.1 from latitude 60 to 70 with overall mean 0.390 +/- 0.037. NEP declined by 200 g m(-2) yr(-1) with mean 171 +/- 79.4 g m(-2) yr(-)(1). ECM had no significant effect on predicted soil carbon. Our findings suggest that ECM can use a significant proportion of the carbon assimilated by vegetation and hence be an important driver of the decline in CUE at higher latitudes. Our model suggests the quantitative contribution of ECM to soil carbon to be less important but any possible implications through litter quality remain to be assessed. The approach provides a simple proxy of ECM processes for regional C budget models and estimates.", "keywords": ["Soil C balance", "570", "550", "Forest Science", "hiilen kierto", "Carbon residence time", "Carbon use efficiency", "Forestry", "Carbon allocation", "hiilensidonta", "15. Life on land", "ta4112", "13. Climate action", "maaper\u00e4geologia", "Net ecosystem production", "Soil C:N ratio", "Mycorrhiza", "Model"]}, "links": [{"href": "https://pub.epsilon.slu.se/31150/1/makela-a-et-al-20230622.pdf"}, {"href": "https://doi.org/10.1016/j.foreco.2022.120355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2022.120355", "name": "item", "description": "10.1016/j.foreco.2022.120355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2022.120355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10138/570094", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:05:07Z", "type": "Journal Article", "created": "2022-06-22", "title": "Do mycorrhizal symbionts drive latitudinal trends in photosynthetic carbon use efficiency and carbon sequestration in boreal forests?", "description": "There is evidence that carbon fluxes and stocks decrease with increasing latitude in boreal forests, suggesting a reduction in carbon use efficiency. While vegetation and soil carbon dynamics have been widely studied, the empirical finding that ectomycorrhizal fungi (ECM) become more abundant towards the north has not been quantitatively linked to carbon use efficiency. We formulated a conceptual model of combined fine-root and ECM carbon use efficiency (CUE) as NPP/GPP (net primary production/gross primary production). For this, we included the mycorrhiza as gains in plant NPP but considered the extramatrical hyphae as well as exudates as losses. We quantified the carbon processes across a latitudinal gradient using published eco-physiological and morphological measurements from boreal coniferous forests. In parallel, we developed two CUE models using large-scale empirical measurements amended with established models. All models predicted similar latitudinal trends in vegetation CUE and net ecosystem production (NEP). CUE in the ECM model declined on average by 0.1 from latitude 60 to 70 with overall mean 0.390 +/- 0.037. NEP declined by 200 g m(-2) yr(-1) with mean 171 +/- 79.4 g m(-2) yr(-)(1). ECM had no significant effect on predicted soil carbon. Our findings suggest that ECM can use a significant proportion of the carbon assimilated by vegetation and hence be an important driver of the decline in CUE at higher latitudes. Our model suggests the quantitative contribution of ECM to soil carbon to be less important but any possible implications through litter quality remain to be assessed. The approach provides a simple proxy of ECM processes for regional C budget models and estimates.", "keywords": ["Soil C balance", "570", "550", "Forest Science", "hiilen kierto", "Carbon residence time", "Carbon use efficiency", "Forestry", "Carbon allocation", "hiilensidonta", "15. Life on land", "ta4112", "13. Climate action", "maaper\u00e4geologia", "Net ecosystem production", "Soil C:N ratio", "Mycorrhiza", "Model"]}, "links": [{"href": "https://pub.epsilon.slu.se/31150/1/makela-a-et-al-20230622.pdf"}, {"href": "https://doi.org/10138/570094"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/570094", "name": "item", "description": "10138/570094", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/570094"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2019.01.025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:57:50Z", "type": "Journal Article", "created": "2018-10-29", "title": "Soil microbial communities with greater investment in resource acquisition have lower growth yield", "description": "Abstract<p>Resource acquisition and growth yield are fundamental traits of microorganisms that have consequences for ecosystem functioning. However, there is a lack of empirical observations linking these traits. Using a landscape-scale survey of temperate near-neutral pH soils, we show tradeoffs in key community-level parameters linked to these traits. Increased investment into extracellular enzymes was associated with reduced growth yield; this reduction was linked more to carbon than nitrogen acquisition enzymes suggesting smaller stoichiometric constraints on community metabolism in examined soils.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Agricultural and Veterinary Sciences", "Nitrogen", "carbon", "carbon use efficiency", "Carbon use efficiency", "enzymes", "microbial communities", "Microbial communities", "Agronomy & Agriculture", "Biological Sciences", "15. Life on land", "Traits", "Carbon", "nitrogen", "Enzymes", "03 medical and health sciences", "traits", "13. Climate action", "Environmental Sciences"]}, "links": [{"href": "https://www.biorxiv.org/content/10.1101/455071v1.full.pdf"}, {"href": "https://escholarship.org/content/qt97n4q53m/qt97n4q53m.pdf"}, {"href": "https://doi.org/10.1016/j.soilbio.2019.01.025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2019.01.025", "name": "item", "description": "10.1016/j.soilbio.2019.01.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2019.01.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-29T00:00:00Z"}}, {"id": "10.5281/zenodo.13271731", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T07:03:01Z", "type": "Dataset", "title": "The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient", "description": "This repository contains all necessary raw data as well as the R code used to conduct statistical analysis and create figures of the publication\u00a0The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient  Julia Schroeder1*, Alexander K\u00f6nig2, Christopher Poeplau1, Tobias B\u00f6lscher3, Katharina H.E. Meurer4, Monika Toleikien\u01175, Marjoleine Hanegraaf6, Annelein Meisner6, Josef Hakl7, Katharina M. Keiblinger 2, Abad Chabbi8, Marjetka Suhadolc9, Anton Govednik9, Erich Inselsbacher2, Heike Knicker10, Laura Gismero Rodr\u00edguez10, and Anke M. Herrmann4  1 Th\u00fcnen Institute of Climate-Smart Agriculture, Braunschweig, Germany2 University of Natural Resources and Applied Life Sciences Vienna, Department of Forest and Soil Sciences, Institute of Soil Research, Vienna, Austria3 Universit\u00e9 Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, Palaiseau, France4 Department of Soil & Environment, Swedish University of Agricultural Sciences - SLU, Uppsala, Sweden5 Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania6 Wageningen University & Research, Wageningen Plant Research, Wageningen, Netherlands7 Czech University of Life Sciences Prague, Czech Republic8 INRAE Centre de Recherche Nouvelle-Aquitaine-Poitiers, Unit\u00e9 de Recherche Pluridisciplinaire Prairies & Plantes Fourrag\u00e8res, Lusignan, France9 University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia10 Instituto de la Grasa (IG-CSIC), Sevilla, Spain* Corresponding author: julia.schroeder@thuenen.de  DOI:\u00a0  The study aimed to investigate the effect of crop diversification measures (cover crops, ley farming, vegetation stripes) on microbial carbon use efficiency (CUE) and its potential link to SOC accrual in agricultural soils across Europe. The central hypothesis was that the crop diversification treatment results in more efficient microbial use of C, thus enhancing the potential of soils to store C. The effect of treatment was expected to vary between seasons.Topsoil was sampled from eight experimental crop diversification sites across a pan-European pedoclimatic gradient (Sweden, Netherlands, Lithuania, Czech Republic, Austria, France, Slovenia, and Spain). At five sites, a second sampling was conducted to test the effect of season on CUE (Sweden, Netherlands, France, Slovenia, and Spain). CUE was assessed by the 18O-labelling method. To account for the different experimental layout between sites, a meta-analysis approach was used for statistical analysis. To test for a general pattern of the seasonal variation in CUE across the pedoclimatic gradient, weather data (representing 3-months weather prior sampling) was used to extract seasonal predictors.\u00a0For further details, please see the peer-reviewed publication.\u00a0  The R code was developed under R v4.4.0.  \u00a0  The repository includes the following files:  data:    EJP-EL_COORD_sites.csv - Provides coordinates, reference system, land use, diversification treatment and year of establishment for the experimental sites (n=8).\u00a0  EJP-EL_DATA_sites.csv - Provides texture, TOC and N content, and bulk density data for the experimental sites as provided by site managers (if applicable on plot basis)(n=106).  EJP-EL_CUE_for_R.csv - Provides assessed per sample observations (n=220)WHC: water holding capacity, pH: soil pH measured in 1:5 w/w soil-water solution, TC_perc: total C (%), TIC_perc: total inorganic C (%), TOC_perc: total organic C (%), TN_perc: total N (%), total_DNA_gsoil: total amount of DNA extracted (ug DNA g-1 soil), Cmic_ugC_gsoil: microbial biomass C by CFE-method (ug microbial biomass C g-1 soil), fDNA: unitless conversion factor, Cgrowth_ngC_g_h: microbial growth rate (ng C g-1 soil h-1), \u00a0Crespiration_ngC_g_h: microbial respiration rate (ng C g-1 soil h-1), CUE: unitless carbon use efficiency, mass_specific_growth_1_perd: mass specific growth rate (1 d-1), turnover_time_d: turnover rate (d), DW/WW_during_incub: ratio of dry weight to wet weight (indicator of water content) during the time of incubation (g g-1); WC_perc_related_to_DW_at_sampling: water content during the time of soil sampling expressed as percentage water refered to dry weight of soil (%)  weather_data_b4_sampling_FS_nasa_power_mod_incl_radiation.csv - Extracted daily weather data for the respective site coordinates from the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) Prediction of Worldwide Energy Resource (POWER) Project funded through the NASA Earth Science/Applied Science Program, i.e. NASA POWER project, for a 3-months period prior to each sampling event: mean daily air temperature at 2 m (T2M), the bias corrected average of total precipitation at the Earth\u2019s surface (PRECTOTCORR), and the total photosynthetically active radiation incident at the Earth\u2019s surface (ALLSKY_SFC_PAR_TOT).\u00a0  Table_S1.xlsx - Provides meta-data of sites including sampling (treatments, depth, number of samples, time), water content at sampling, management (last main crop, cover at sampling, phenological state at sampling, fertilisation dates, type of fertiliser, fertilisation rate, ploughing date, ploughing depth).   Rproj:    R_project_Schroeder_crop_div_and_season.Rproj - Rproject (load project to work on provided scripts and data)   R scripts:    01_EJP-EL_CUE_load_data.R - Loads data from different provided csv and merges them into one data.frame, specifying assignment of categories (e.g. control vs one diversified treatment) and selections for individual analyses (e.g. seasonality (all treatments, 5 sites), EU.gradient (control vs. one diversified treatment, 8 sites)).  02_extract_climate_data_sites.R - Extracts climate data from BIOCLIM database (MAT, MAP, Growing season lenght, K\u00f6ppen Geiger) for site coordinates.  03_meta-analysis_crop_diversification_EU_gradient.R - Conducts meta-analysis on EU.gradient selection (control vs diversified treatment, 8 sites) with crop diversification measures as subgroups. Plots results of the meta-analysis. Exports overall test statistics.  04_ANOVA_seasonality_effect.R - Plots CUE per site and sampling on seasonality selection. Conducts site-wise ANOVA to test for effects of sampling and treatment on CUE, and whether the effect of treatment varies with sampling (i.e. interaction).\u00a0  05_define_season_by_weather_data_before_sampling.R - Extracts weather data from indicated NASA database for the 3-months period prior to sampling. Calculates seasonality predictors (see M&M of publication to this study for detailed background). Creates table with calculated predictors.  06_Driver_Analysis_seasonality.R - Checks for autocorrelation of seasonal predictors. Conducts linear mixed-effects model for driver analysis. Creates figure presenting results of the driver analysis.  07_PCA_pedo-climatic_gradient_EU.R - Conducts and plots a principal component analysis to visualise the spread of pedo-climatic properties across sites.  08_LMEM_France.R - Conducts a separate linear mixed-effects model statistics to test wehther ley farming is more similar to cropland or grassland (microbial CUE, Cmic, Cgrowth and SOC) at the Lusignan (France) site.", "keywords": ["microbial carbon use efficiency", "soil organic carbon", "EJP SOIL", "crop diversificiation", "EnergyLink", "SOC", "CUE", "soil", "agriculture"], "contacts": [{"organization": "Schroeder, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13271731"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13271731", "name": "item", "description": "10.5281/zenodo.13271731", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13271731"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-04T00:00:00Z"}}, {"id": "10.1038/s41467-019-11472-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:58:29Z", "type": "Journal Article", "created": "2019-08-02", "title": "Global ecological predictors of the soil priming effect", "description": "Abstract<p>Identifying the global drivers of soil priming is essential to understanding C cycling in terrestrial ecosystems. We conducted a survey of soils across 86 globally-distributed locations, spanning a wide range of climates, biotic communities, and soil conditions, and evaluated the apparent soil priming effect using13C-glucose labeling. Here we show that the magnitude of the positive apparent priming effect (increase in CO2release through accelerated microbial biomass turnover) was negatively associated with SOC content and microbial respiration rates. Our statistical modeling suggests that apparent priming effects tend to be negative in more mesic sites associated with higher SOC contents. In contrast, a single-input of labile C causes positive apparent priming effects in more arid locations with low SOC contents. Our results provide solid evidence that SOC content plays a critical role in regulating apparent priming effects, with important implications for the improvement of C cycling models under global change scenarios.</p", "keywords": ["DECOMPOSITION", "550", "Science", "ECOSYSTEM MULTIFUNCTIONALITY", "Veterinary and Food Sciences", "41 Environmental Sciences", "anzsrc-for: 3007 Forestry Sciences", "30 Agricultural", "01 natural sciences", "630", "Article", "anzsrc-for: 41 Environmental Sciences", "anzsrc-for: 30 Agricultural", "XXXXXX - Unknown", "4101 Climate Change Impacts and Adaptation", "anzsrc-for: 31 Biological Sciences", "0105 earth and related environmental sciences", "2. Zero hunger", "Q", "CARBON USE EFFICIENCY", "3007 Forestry Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "MICROBIAL DIVERSITY DRIVES", "LABILE CARBON", "NITROGEN", "COMMUNITY", "CLIMATE", "anzsrc-for: 4101 Climate Change Impacts and Adaptation", "ORGANIC-MATTER", "PHOSPHORUS", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "31 Biological Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt97s664fx/qt97s664fx.pdf"}, {"href": "https://escholarship.org/content/qt6239t2d4/qt6239t2d4.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=259028/2D523771-EC44-4DAA-B892-F79848785D9A.pdf&pub_id=259028"}, {"href": "https://doi.org/10.1038/s41467-019-11472-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-019-11472-7", "name": "item", "description": "10.1038/s41467-019-11472-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-019-11472-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-02T00:00:00Z"}}, {"id": "10.1038/s41586-023-06999-1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T06:58:32Z", "type": "Journal Article", "created": "2024-03-06", "title": "Model uncertainty obscures major driver of soil carbon", "description": "International audience", "keywords": ["0301 basic medicine", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "carbon use efficiency", "Uncertainty", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "03 medical and health sciences", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "microbes", "environment", "Global soil carbon", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41586-023-06999-1.pdf"}, {"href": "https://escholarship.org/content/qt7vw1d7sf/qt7vw1d7sf.pdf"}, {"href": "https://doi.org/10.1038/s41586-023-06999-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41586-023-06999-1", "name": "item", "description": "10.1038/s41586-023-06999-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41586-023-06999-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-06T00:00:00Z"}}, {"id": "10.1093/ismeco/ycae116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:59:08Z", "type": "Journal Article", "created": "2024-10-08", "title": "Land use effects on soil microbiome composition and traits with consequences for soil carbon cycling", "description": "Abstract                <p>The soil microbiome determines the fate of plant-fixed carbon. The shifts in soil properties caused by land use change leads to modifications in microbiome function, resulting in either loss or gain of soil organic carbon (SOC). Soil pH is the primary factor regulating microbiome characteristics leading to distinct pathways of microbial carbon cycling, but the underlying mechanisms remain understudied. Here, the taxa-trait relationships behind the variable fate of SOC were investigated using metaproteomics, metabarcoding, and a 13C-labeled litter decomposition experiment across two temperate sites with differing soil pH each with a paired land use intensity contrast. 13C incorporation into microbial biomass increased with land use intensification in low-pH soil but decreased in high-pH soil, with potential impact on carbon use efficiency in opposing directions. Reduction in biosynthesis traits was due to increased abundance of proteins linked to resource acquisition and stress tolerance. These trait trade-offs were underpinned by land use intensification-induced changes in dominant taxa with distinct traits. We observed divergent pH-controlled pathways of SOC cycling. In low-pH soil, land use intensification alleviates microbial abiotic stress resulting in increased biomass production but promotes decomposition and SOC loss. In contrast, in high-pH soil, land use intensification increases microbial physiological constraints and decreases biomass production, leading to reduced necromass build-up and SOC stabilization. We demonstrate how microbial biomass production and respiration dynamics and therefore carbon use efficiency can be decoupled from SOC highlighting the need for its careful consideration in managing SOC storage for soil health and climate change mitigation.</p", "keywords": ["soil health", "Supplementary Data", "QH301 Biology", "carbon use efficiency", "carbon cycling", "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/ismecommun/4/1/10.1093_ismeco_ycae116/1/otu_table_16s_table_s1_ycae116.xlsx?Expires=1737538557&Signature=3IutEpMaJIknJFjSbheOQYWpAwXt2atlN4YtPR7BTaTGf3jrf1M6yHgYzlnrttKlwpbFcwz-IqYq96oubC5FxfBQQyiIC0H-az-D~Bkstxc9XHkEmERELO~nurTlszmUndzm3jLsKF05x00PNsiNFlGKUhlsMB6wRmyO3v3GNBqHQVdswXZ3UAjfXvqqinyDLK54UCxfLk8eKpcfFnvVctxQ8Hrk3gP-eMFToKDlXgPD4MXGrdegvcZblx6g8FAvJruLIG1NWIRJ6wzx6HcmAYiZDJcGosKrdjMBIznM8YIJjBrfWwhGvjh15Z7MJnsUWn8PjxLjXfww29q-YfQnw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA", "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/ismecommun/4/1/10.1093_ismeco_ycae116/1/otu_table_18s_table_s2_ycae116.xlsx?Expires=1737538557&Signature=ZVWC9BaJ2MOsxOOfzrmd-9nuLAy5yHOmeqJQmKHhQ1z7mXxXITIYAvM8BpVkEkQHB7Bo-6dNEm5FlC6eAuTroyq-dvMW3PD6MNP9SN5KgwSrKUeHM6IKNhzav6Q4zd48B95IPreN5UKQTTVPrphpdOxfdVKYKxD3qOMdWqmHXt-IAD~W80PJ0BjvpHXPQ0pYCmGInVv1Fe-L3k~OKo80rD0xtncnBCFRd8DVHTIY5JLjJr4-E~M3Gainkbz2AVLZwys3S6MMEboS8vKSj~rG34Z04ByT6dBjp0XDj2H9K7WjXlEqOoPIwUWUUfcVvn4N5wZ6R6YFZr9mk4qTZKdEow__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA", "004", "soil organic carbon", "QH301", "soil pH", "13C labelling", "land use intensity", "soil microbiome", "metabarcoding", "SDG 13 - Climate Action", "metaproteomics", "Original Article", "SDG 15 - Life on Land"]}, "links": [{"href": "https://doi.org/10.1093/ismeco/ycae116"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISME%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/ismeco/ycae116", "name": "item", "description": "10.1093/ismeco/ycae116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/ismeco/ycae116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1101/455071", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:59:17Z", "type": "Journal Article", "created": "2018-10-29", "title": "Soil microbial communities with greater investment in resource acquisition have lower growth yield", "description": "Abstract<p>Resource acquisition and growth yield are fundamental traits of microorganisms that have consequences for ecosystem functioning. However, there is a lack of empirical observations linking these traits. Using a landscape-scale survey of temperate near-neutral pH soils, we show tradeoffs in key community-level parameters linked to these traits. Increased investment into extracellular enzymes was associated with reduced growth yield; this reduction was linked more to carbon than nitrogen acquisition enzymes suggesting smaller stoichiometric constraints on community metabolism in examined soils.</p", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Agricultural and Veterinary Sciences", "Nitrogen", "carbon", "carbon use efficiency", "Carbon use efficiency", "enzymes", "microbial communities", "Microbial communities", "Agronomy & Agriculture", "Biological Sciences", "15. Life on land", "Traits", "Carbon", "nitrogen", "Enzymes", "03 medical and health sciences", "traits", "13. Climate action", "Environmental Sciences"]}, "links": [{"href": "https://www.biorxiv.org/content/10.1101/455071v1.full.pdf"}, {"href": "https://escholarship.org/content/qt97n4q53m/qt97n4q53m.pdf"}, {"href": "https://doi.org/10.1101/455071"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1101/455071", "name": "item", "description": "10.1101/455071", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1101/455071"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-29T00:00:00Z"}}, {"id": "10.1111/j.1469-8137.2010.03319.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:59:44Z", "type": "Journal Article", "created": "2010-06-11", "title": "Shifts In Plant Respiration And Carbon Use Efficiency At A Large-Scale Drought Experiment In The Eastern Amazon", "description": "<p>Featured paper: See Editorial p553</p>", "keywords": ["0106 biological sciences", "Time Factors", "550", "plant community", "carbon fixation", "Carbon use efficiency", "Cell Respiration", "Amazon rain forest", "drought", "Gross primary productivity", "01 natural sciences", "experimental study", "metabolism Amazon rain forest", "Trees", "Soil", "cell respiration", "Keywords: carbon", "partitioning", "Ecosystem", "ecosystem", "Carbon cycling", "Drought", "Bacteria", "article", "carbon dioxide", "net primary production", "Carbon Dioxide", "15. Life on land", "bacterium", "Carbon", "6. Clean water", "Net primary productivity", "Droughts", "carbon flux", "Carbon dioxide", "rainforest", "respiration", "Partitioning", "Brazil"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79387/5/f5625xPUB78382010.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79387/7/01_Metcalfe_Shifts_in_plant_respiration_2010.pdf.jpg"}, {"href": "https://doi.org/10.1111/j.1469-8137.2010.03319.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1469-8137.2010.03319.x", "name": "item", "description": "10.1111/j.1469-8137.2010.03319.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1469-8137.2010.03319.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-07-19T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-1193625/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:00:49Z", "type": "Journal Article", "created": "2022-01-11", "title": "On Maintenance and Metabolisms in Soil Microbial Communities", "description": "Abstract         <p>Biochemistry is an essential yet often undervalued aspect of soil ecology, especially in soil C cycling. We assume based on tradition, intuition or hope that the complexity of biochemistry is confined to the microscopic world, and can be ignored when dealing with whole soil systems. This opinion paper draws attention to patterns caused by basic biochemical processes that permeate the world of ecosystem processes. From these patterns, we can estimate activities of the biochemical reactions of the central C metabolic network and gain insights into the ecophysiology of microbial biosynthesis and growth and maintenance energy requirements; important components of Carbon Use Efficiency (CUE).The biochemical pathways used to metabolize glucose vary from soil to soil, with mostly glycolysis in some soils, and pentose phosphate or Entner-Doudoroff pathways in others. However, notwithstanding this metabolic diversity, glucose use efficiency is high and thus substrate use for maintenance energy and overflow respiration is low in these three soils. These results contradict current dogma based on four decades of research in soil ecology. We identify three main shortcomings in our current understanding of substrate use efficiency: 1) in numeric and conceptual models, we lack appreciation of the strategies that microbes employ to quickly reduce energy needs in response to starvation; 2) production of exudates and microbial turnover affect whole-soil CUE more than variation in maintenance energy demand; and 3) whether tracer experiments can be used to measure the long-term substrate use efficiency of soil microbial communities depends critically on the ability of non-growing cells to take up tracer substrates, how biosynthesis responds to these substrates, as well as on how cellular activities scale to the community level.To move the field of soil ecology forward, future research must consider the details of microbial ecophysiology and develop new tools that enable direct measurement of microbial functioning in intact soils. We submit that 13C metabolic flux analysis is one of those new tools.</p", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Embden-Meyerhof-Parnass glycolysis", "Biochemical efficiency", "Maintenance", "Entner-Doudoroff pathway", "Carbon use efficiency", "Metabolic flux analysis", "15. Life on land", "Turnover", "Grassland", "03 medical and health sciences", "Marsh", "13. Climate action", "Exudation", "Forest", "Pentose phosphate pathway"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11104-022-05382-9.pdf"}, {"href": "https://doi.org/10.21203/rs.3.rs-1193625/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-1193625/v1", "name": "item", "description": "10.21203/rs.3.rs-1193625/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-1193625/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-11T00:00:00Z"}}, {"id": "10.3389/ffgc.2021.686945", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T07:01:30Z", "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": "10.5061/dryad.5x69p8dbf", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:02:12Z", "type": "Dataset", "created": "2024-01-24", "title": "Data from: Warming reduces priming effect of soil organic carbon decomposition along a subtropical elevation gradient", "description": "unspecified# Data from: Warming reduces priming effect of soil organic carbon  decomposition along a subtropical elevation gradient  [https://doi.org/10.5061/dryad.5x69p8dbf](https://doi.org/10.5061/dryad.5x69p8dbf) The dataset includes glucose-, lignin- and SOC-derived CO2-C production, priming effects, soil properties, and microbial communities measured across all treatments. ## Description of the data and file structure Methodological Information  * Methods of data collection/generation: see article for details  * Geographic locations of data collection: Wuyishan Mountain, Fujian, China Description of the data and file structure  * This dataset has one EXCEL. xlsx file with 22 sheets supporting the figures in the article.  * Description of the treatment There are six treatments in this dataset: Control, glucose addition, lignin addition, warming, glucose addition + warming, and lignin addition + warming treatment *For abbreviations of variables in the sheet named Figure 1a | Abbreviation | Description | Units | | :-------------- | :----------------------------------- | :----------- | | MAT | Mean annual temperature | \u2103 | | Glucose | Glucose addition treatment | mg g-1 soil | | Glucose+Warming | Glucose addition + warming treatment | mg g-1 soil | | Lignin | Lginin addition treatment | mg g-1 soil | | Lignin +Warming | Lignin addition +warming treatment | mg g-1 soil | *For abbreviations of variables in the sheet named Figure 1b | Abbreviation | Description | units | | :-------------- | :----------------------------------- | :------- | | MAT | Mean annual temperature | \u2103 | | Glucose | Glucose addition treatment | unitless | | Glucose+Warming | Glucose addition + warming treatment | unitless | | Lignin | Lignin addition treatment | unitless | | Lignin +Warming | Lignin addition +warming treatment | unitless | *For abbreviations of variables in the sheet named Figure 1c, data for substrate-derived CO2 | Abbreviation | Description | units | | :-------------- | :----------------------------------- | :----------- | | MAT | Mean annual temperature | \u2103 | | Glucose | Glucose addition treatment | mg g-1 soil | | Glucose+Warming | Glucose addition + warming treatment | mg g-1 soil | | Lignin | Lignin addition treatment | mg g-1 soil | | Lignin +Warming | Lignin addition +warming treatment | mg g-1 soil | *For abbreviations of variables in the sheet named Figure 1d, data for substrate-derived PLFAs | Abbreviation | Description | units | | :-------------- | :----------------------------------- | :----------- | | MAT | Mean annual temperature | \u2103 | | Glucose | Glucose addition treatment | ug g-1 soil | | Glucose+Warming | Glucose addition + warming treatment | ug g-1 soil | | Lignin | Glucose addition treatment | ug g-1 soil | | Lignin+Warming | Lignin addition + warming treatment | ug g-1 soil | *For abbreviations of variables in the sheet named Figure 2a and Figure 2b | Abbreviation | Description | units | | :--------------- | :----------------------------------- | :------- | | MAT | Mean annual temperature | \u2103 | | No addition | Without substrate addition treatment | unitless | | Glucose addition | With glucose addition treatment | unitless | | Lignin addition | With lignin addition treatment | unitless | Note:\u00a0Q10 is the temperature sensitivity of SOC or substrates mineralization unitless *For abbreviations of variables in the sheet named Figure 3a, Figure 3b, Figure 3c, Figure 3d, Figure 3e, and Figure 3f | Abbreviation | Description | units | | :--------------- | :----------------------------------- | :---- | | MAT | Mean annual temperature | \u2103 | | No addition | Without substrate addition treatment | % | | Glucose addition | With glucose addition treatment | % | | Lignin addition | With lginin addition treatment | % | Note: Warming effect size means the effect of warming on microbial biomass *For abbreviations of variables in the sheet named Figure 4a, Figure 4b, Figure 4c, Figure 4d and Figure 4e | Abbreviation | Description | units | | :-------------- | :----------------------------------- | :------- | | Glucose | Glucose addition treatment | unitless | | Glucose+Warming | Glucose addition + warming treatment | unitless | | Lignin | Glucose addition treatment | unitless | | Lignin+Warming | Lignin addition + warming treatment | unitless | Note: Response ratio means the ratio of a variable in glucose or lignin addition without or with warming to that in the corresponding unamended control at ambient temperature or warming temperature *For abbreviations of variables in the sheet named Figure 5a and Figure 5b | Abbreviation | Description | units | | :----------- | :------------------------------------------------------------------------------------------- | :--------------- | | MAT | Mean annual temperature | \u2103 | | RR | The ratio of a variable in glucose or lignin addition treatment to that in unamended control | unitless | | \u0394RR | The RR ratio under warming treatment minus that under ambient treatment | unitless | | PE(Glucose) | Priming effect induced by glucose addition treatment | unitless | | PE(Lignin) | Priming effect induced by lignin addition treatment | unitless | | PE(total) | Priming effect induced by glucose or lignin addition treatment | unitless | | \u0394PE(Glucose) | The effect of warming on priming effect induced by glucose addition | unitless | | \u0394PE(Lignin) | The effect of warming on priming effect induced by lignin addition | unitless | | \u0394PE(total) | The effect of warming on priming effect induced by glucose or lignin addition | unitless | | SOC | Soil organic carbon | g kg-1 | | Labile C | Labile pool carbon | g kg-1 | | Stable C | Stable pool carbon | g kg-1 | | TN | Soil total nitrogen | g kg-1 | | C:N ratio | The ratio of soil organic carbon to soil total nitrogen | unitless | | qCO2 | Microbial metabolic quotient | mg C g-1 MBC h-1 | | Total PLFAs | Phospholipid fatty acids | nmol g-1 soil | | F:B ratio | The ratio of fungi to bacteria | unitless | | DOC | Dissolved organic carbon | mg kg-1 | *For abbreviations of variables in the sheet named Figure 6a, Figure 6b and Figure 6c | Abbreviation | Description | units | | :---------------- | :--------------------------------------------------------------------------- | :---- | | PE _Glucase | Warming effect on Glucose-induced priming effect | % | | PE _Lignin | Warming effect on Lignin induced priming effect | % | | Bacteria 13C-PLFA | Warming effect on Substrate-derived bacteria phospholipid fatty acids | % | | Fungi 13C-PLFA | Warming effect on Substrate-derived fungi phospholipid fatty acids | % | | Total 13C-PLFAs | Warming effect on Substrate-derived total microbial phospholipid fatty acids | % | ## Code/Software All statistical analyses were performed using the SPSS software version 21.0 for Windows and R (v4.1.0).", "keywords": ["13C-PLFA", "FOS: Earth and related environmental sciences", "Microbial carbon use efficiency", "priming effects", "substrate quality", "temperature gradient"], "contacts": [{"organization": "Li, Xiaojie, Lyu, Maokui, Zhang, Qiufang, Feng, Jiguang, Liu, Xiaofei, Zhu, Biao, Wang, Xiaohong, Yang, Yusheng, Xie, Jinsheng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5x69p8dbf"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5x69p8dbf", "name": "item", "description": "10.5061/dryad.5x69p8dbf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5x69p8dbf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-21T00:00:00Z"}}, {"id": "10.5061/dryad.h70rxwdqs", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:02:17Z", "type": "Dataset", "created": "2023-11-13", "title": "Data from: Microbial carbon use efficiency and soil organic carbon stocks across an elevational gradient in the Peruvian Andes", "description": "unspecifiedSoils of mountain ecosystems are one of the most vulnerable ecosystems to  climate change, while the ecosystem services they produce are significant  and currently at risk. High altitude soils contain high C stocks, but due  to difficult access to sites these areas are understudied. Moreover, how  the C and N cycling is changing in response to climate change in these  ecosystems, is still unclear. Microbial carbon use efficiency (CUE) and  its dependency on the environmental constraints along the altitudinal  gradients is one important unknown factor. Here we present results from an  altitudinal gradient study (3500 to 4500 m a.s.l.) from a Polylepis forest  in the Peruvian Andes. We measured the soil organic carbon (SOC) stocks  and microbial metabolic CUE by\u00a013C glucose tracing and microbial  resource use efficiency (CUEC:N) based on enzyme activity measurements. We  expected to find an increase in SOC stock, microbial nutrient limitations,  and lower CUE with elevation. SOC stocks depended on soil development and  followed a unimodal curve that peaks at 4000 m in two of the three studied  valleys. Neither 13CUE nor CUEC:N changed significantly with altitude.  Soil C:N ratio, \u03b2-glucosidase, chitinase, and phosphatase enzyme  activities increased with elevation, but peroxidase activity decreased  with elevation. We suggest that more labile organic matter left at high  elevation could compensate for the increasing nutrient limitation at high  elevation, resulting in no noticeable change in CUE with elevation.", "keywords": ["soil organic carbon", "Exoenzyme", "Carbon use efficiency", "FOS: Earth and related environmental sciences", "Stoichiometric modelling", "Elevational gradient"], "contacts": [{"organization": "Martin Vivanco, Angela Katherine, Sieti\u00f6, Outi-Maaria, Meyer, Nele, Mganga, Kevin, Kalu, Subin, Adamczyk, Sylwia, Celis, Susan, Alegre, Julio, Karhu, Kristiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.h70rxwdqs"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.h70rxwdqs", "name": "item", "description": "10.5061/dryad.h70rxwdqs", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.h70rxwdqs"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-18T00:00:00Z"}}, {"id": "10261/404636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:05:17Z", "type": "Journal Article", "created": "2025-11-03", "title": "Impact of organic amendments on carbon stability and carbon use efficiency in acidic and alkaline soils", "description": "Open Access14 p\u00e1ginas.- 5 figuras.- 4 tablas.- referencias.- The electronic annex includes: A detailed description of the Cmicro calculation, an image of the automatic respirometer along with a diagram of its operation (SF1), standard curves for qPCR-based quantification (SF2), FT-IR spectra (SF3), thermal analysis profile of soils (SF4), and ST1 containing all the results of thermogravimetric analyses. Supplementary data to this article can be found online at https://doi.org/10.1016/j.apsoil.2025.106577", "keywords": ["Carbon sequestration", "Biochar", "Carbon use efficiency", "Digestate", "Compost", "Carbon farming"], "contacts": [{"organization": "Rosa Arranz, Jos\u00e9 M. de la, P\u00e9rez-Dal\u00ed, Sara, S\u00e1nchez-Mart\u00edn, \u00c1gueda M., M\u00e1rquez-Moreno, J., Martin-Sanchez, Pedro M\u00aa, San Emeterio, Layla M., Guti\u00e9rrez Patricio, S., Cubero, Beatriz, Knicker, Heike, Campos D\u00edaz de Mayorga, Paloma, Gonz\u00e1lez-P\u00e9rez, Jos\u00e9 Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/404636"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Soil%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/404636", "name": "item", "description": "10261/404636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/404636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2026-01-01T00:00:00Z"}}, {"id": "1959.4/unsworks_64940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:05:47Z", "type": "Journal Article", "created": "2019-08-02", "title": "Global ecological predictors of the soil priming effect", "description": "Abstract<p>Identifying the global drivers of soil priming is essential to understanding C cycling in terrestrial ecosystems. We conducted a survey of soils across 86 globally-distributed locations, spanning a wide range of climates, biotic communities, and soil conditions, and evaluated the apparent soil priming effect using13C-glucose labeling. Here we show that the magnitude of the positive apparent priming effect (increase in CO2release through accelerated microbial biomass turnover) was negatively associated with SOC content and microbial respiration rates. Our statistical modeling suggests that apparent priming effects tend to be negative in more mesic sites associated with higher SOC contents. In contrast, a single-input of labile C causes positive apparent priming effects in more arid locations with low SOC contents. Our results provide solid evidence that SOC content plays a critical role in regulating apparent priming effects, with important implications for the improvement of C cycling models under global change scenarios.</p", "keywords": ["DECOMPOSITION", "550", "Science", "ECOSYSTEM MULTIFUNCTIONALITY", "Veterinary and Food Sciences", "41 Environmental Sciences", "anzsrc-for: 3007 Forestry Sciences", "30 Agricultural", "01 natural sciences", "630", "Article", "anzsrc-for: 41 Environmental Sciences", "anzsrc-for: 30 Agricultural", "XXXXXX - Unknown", "4101 Climate Change Impacts and Adaptation", "anzsrc-for: 31 Biological Sciences", "0105 earth and related environmental sciences", "2. Zero hunger", "Q", "CARBON USE EFFICIENCY", "3007 Forestry Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "MICROBIAL DIVERSITY DRIVES", "LABILE CARBON", "NITROGEN", "COMMUNITY", "CLIMATE", "anzsrc-for: 4101 Climate Change Impacts and Adaptation", "ORGANIC-MATTER", "PHOSPHORUS", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "31 Biological Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt97s664fx/qt97s664fx.pdf"}, {"href": "https://escholarship.org/content/qt6239t2d4/qt6239t2d4.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=259028/2D523771-EC44-4DAA-B892-F79848785D9A.pdf&pub_id=259028"}, {"href": "https://doi.org/1959.4/unsworks_64940"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.4/unsworks_64940", "name": "item", "description": "1959.4/unsworks_64940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.4/unsworks_64940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-02T00:00:00Z"}}, {"id": "2164/24787", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:06:09Z", "type": "Journal Article", "created": "2024-10-08", "title": "Land use effects on soil microbiome composition and traits with consequences for soil carbon cycling", "description": "Abstract                <p>The soil microbiome determines the fate of plant-fixed carbon. The shifts in soil properties caused by land use change leads to modifications in microbiome function, resulting in either loss or gain of soil organic carbon (SOC). Soil pH is the primary factor regulating microbiome characteristics leading to distinct pathways of microbial carbon cycling, but the underlying mechanisms remain understudied. Here, the taxa-trait relationships behind the variable fate of SOC were investigated using metaproteomics, metabarcoding, and a 13C-labeled litter decomposition experiment across two temperate sites with differing soil pH each with a paired land use intensity contrast. 13C incorporation into microbial biomass increased with land use intensification in low-pH soil but decreased in high-pH soil, with potential impact on carbon use efficiency in opposing directions. Reduction in biosynthesis traits was due to increased abundance of proteins linked to resource acquisition and stress tolerance. These trait trade-offs were underpinned by land use intensification-induced changes in dominant taxa with distinct traits. We observed divergent pH-controlled pathways of SOC cycling. In low-pH soil, land use intensification alleviates microbial abiotic stress resulting in increased biomass production but promotes decomposition and SOC loss. In contrast, in high-pH soil, land use intensification increases microbial physiological constraints and decreases biomass production, leading to reduced necromass build-up and SOC stabilization. We demonstrate how microbial biomass production and respiration dynamics and therefore carbon use efficiency can be decoupled from SOC highlighting the need for its careful consideration in managing SOC storage for soil health and climate change mitigation.</p", "keywords": ["soil health", "Supplementary Data", "QH301 Biology", "carbon use efficiency", "carbon cycling", "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/ismecommun/4/1/10.1093_ismeco_ycae116/1/otu_table_16s_table_s1_ycae116.xlsx?Expires=1737538557&Signature=3IutEpMaJIknJFjSbheOQYWpAwXt2atlN4YtPR7BTaTGf3jrf1M6yHgYzlnrttKlwpbFcwz-IqYq96oubC5FxfBQQyiIC0H-az-D~Bkstxc9XHkEmERELO~nurTlszmUndzm3jLsKF05x00PNsiNFlGKUhlsMB6wRmyO3v3GNBqHQVdswXZ3UAjfXvqqinyDLK54UCxfLk8eKpcfFnvVctxQ8Hrk3gP-eMFToKDlXgPD4MXGrdegvcZblx6g8FAvJruLIG1NWIRJ6wzx6HcmAYiZDJcGosKrdjMBIznM8YIJjBrfWwhGvjh15Z7MJnsUWn8PjxLjXfww29q-YfQnw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA", "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/ismecommun/4/1/10.1093_ismeco_ycae116/1/otu_table_18s_table_s2_ycae116.xlsx?Expires=1737538557&Signature=ZVWC9BaJ2MOsxOOfzrmd-9nuLAy5yHOmeqJQmKHhQ1z7mXxXITIYAvM8BpVkEkQHB7Bo-6dNEm5FlC6eAuTroyq-dvMW3PD6MNP9SN5KgwSrKUeHM6IKNhzav6Q4zd48B95IPreN5UKQTTVPrphpdOxfdVKYKxD3qOMdWqmHXt-IAD~W80PJ0BjvpHXPQ0pYCmGInVv1Fe-L3k~OKo80rD0xtncnBCFRd8DVHTIY5JLjJr4-E~M3Gainkbz2AVLZwys3S6MMEboS8vKSj~rG34Z04ByT6dBjp0XDj2H9K7WjXlEqOoPIwUWUUfcVvn4N5wZ6R6YFZr9mk4qTZKdEow__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA", "004", "soil organic carbon", "QH301", "soil pH", "13C labelling", "land use intensity", "soil microbiome", "metabarcoding", "SDG 13 - Climate Action", "metaproteomics", "Original Article", "SDG 15 - Life on Land"]}, "links": [{"href": "https://doi.org/2164/24787"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISME%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/24787", "name": "item", "description": "2164/24787", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/24787"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "2898288759", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:06:23Z", "type": "Journal Article", "created": "2018-10-29", "title": "Soil microbial communities with greater investment in resource acquisition have lower growth yield", "description": "Abstract<p>Resource acquisition and growth yield are fundamental traits of microorganisms that have consequences for ecosystem functioning. However, there is a lack of empirical observations linking these traits. Using a landscape-scale survey of temperate near-neutral pH soils, we show tradeoffs in key community-level parameters linked to these traits. Increased investment into extracellular enzymes was associated with reduced growth yield; this reduction was linked more to carbon than nitrogen acquisition enzymes suggesting smaller stoichiometric constraints on community metabolism in examined soils.</p", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Agricultural and Veterinary Sciences", "Nitrogen", "carbon", "carbon use efficiency", "Carbon use efficiency", "enzymes", "microbial communities", "Microbial communities", "Agronomy & Agriculture", "Biological Sciences", "15. Life on land", "Traits", "Carbon", "nitrogen", "Enzymes", "03 medical and health sciences", "traits", "13. Climate action", "Environmental Sciences"]}, "links": [{"href": "https://www.biorxiv.org/content/10.1101/455071v1.full.pdf"}, {"href": "https://escholarship.org/content/qt97n4q53m/qt97n4q53m.pdf"}, {"href": "https://doi.org/2898288759"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2898288759", "name": "item", "description": "2898288759", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2898288759"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-29T00:00:00Z"}}, {"id": "3167308845", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:06:45Z", "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": "38448702", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:07:02Z", "type": "Journal Article", "created": "2024-03-06", "title": "Model uncertainty obscures major driver of soil carbon", "description": "International audience", "keywords": ["0301 basic medicine", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "carbon use efficiency", "Uncertainty", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "03 medical and health sciences", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "microbes", "environment", "Global soil carbon", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41586-023-06999-1.pdf"}, {"href": "https://escholarship.org/content/qt7vw1d7sf/qt7vw1d7sf.pdf"}, {"href": "https://doi.org/38448702"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "38448702", "name": "item", "description": "38448702", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38448702"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-06T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Carbon+use+efficiency&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=Carbon+use+efficiency&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=Carbon+use+efficiency&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Carbon+use+efficiency&offset=20", "hreflang": "en-US"}], "numberMatched": 20, "numberReturned": 20, "distributedFeatures": [], "timeStamp": "2026-05-31T13:59:30.877933Z"}