{"type": "FeatureCollection", "features": [{"id": "10.1007/s10533-022-00920-0", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:14:37Z", "type": "Journal Article", "created": "2021-11-08", "title": "Too Much of a Good Thing? Inorganic Nitrogen (N) Inhibits Moss-Associated N2 Fixation But Organic N Can Promote It", "description": "<title>Abstract</title>         <p>Moss-associated nitrogen (N<sub>2</sub>) fixation is one of the main inputs of new N in pristine ecosystems that receive low amounts of atmospheric N deposition. Previous studies have shown that N<sub>2</sub> fixation is inhibited by inorganic N (IN) inputs, but if N<sub>2</sub> fixation in mosses is similarly affected by organic N (ON) remains unknown. Here, we assessed N<sub>2</sub> fixation in two dominant mosses in boreal forests (<italic>Pleurozium schreberi</italic> and <italic>Sphagnum capillifolium</italic>) in response to different levels of N, simulating realistic (up to 4 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) and extreme N deposition rates in pristine ecosystems (up to 20 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) of IN (NH<sub>4</sub>NO<sub>3</sub>) and ON (alanine and urea). We also assessed if N<sub>2</sub> fixation can recover from the N additions. In the realistic scenario, N<sub>2</sub> fixation was inhibited by increasing NH<sub>4</sub>NO<sub>3</sub> additions in <italic>P. schreberi</italic> but not in <italic>S. capillifolium</italic>, and alanine and urea stimulated N<sub>2</sub> fixation in both moss species. In contrast, in the extreme N additions, increasing N inputs inhibited N<sub>2</sub> fixation in both moss species and all N forms. Nitrogen fixation was more sensitive to N inputs in <italic>P. schreberi</italic> than in <italic>S. capillifolium</italic> and was higher in the recovery phase after the realistic compared to the extreme N additions. These results demonstrate that N<sub>2</sub> fixation in mosses is less sensitive to organic than inorganic N inputs and highlight the importance of considering different N forms and species-specific responses when estimating the impact of N inputs on ecosystem functions such as moss-associated N<sub>2</sub> fixation.</p>", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Sphagnum", "Nitrogen fixation", "Nitrogen pollution", "Organic nitrogen", "15. Life on land", "Cyanobacteria", "Feathermosses"]}, "links": [{"href": "https://doi.org/10.1007/s10533-022-00920-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-022-00920-0", "name": "item", "description": "10.1007/s10533-022-00920-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-022-00920-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-08T00:00:00Z"}}, {"id": "10.1021/es061765v", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:14Z", "type": "Journal Article", "created": "2007-03-29", "title": "Interactions Between Elevated Co2 And Warming Could Amplify Doc Exports From Peatland Catchments", "description": "Peatlands export more dissolved organic carbon (DOC) than any other biome, contributing 20% of all terrestrial DOC exported to the oceans. Both warming and elevated atmospheric CO2 (eCO2) can increase DOC exports, but their interaction is poorly understood. Peat monoliths were, therefore, exposed to eCO2, warming and eCO2 + warming (combined). The combined treatment produced a synergistic (i.e., significant interaction) rise in DOC concentrations available for export (119% higher than the control, interaction P < 0.05) and enriched this pool with phenolic compounds (284%). We attribute this to increased plant inputs, coupled with impaired microbial degradation induced by competition with the vegetation for nutrients and inhibitory phenolics. Root biomass showed a synergistic increase (407% relative to the control, P < 0.1 only), while exudate inputs increased additively. Phenol oxidase was suppressed synergistically (58%, interaction P < 0.1 only) and beta-glucosidase (27%) additively, while microbial nutritional stress increased (51%) additively. Such results suggest intensified carbon exports from peatlands, with potentially widespread ramifications for aquatic processes in the receiving waters.", "keywords": ["Nitrogen", "litter decomposition", "Bryophyta", "01 natural sciences", "sphagnum", "soil", "Magnoliopsida", "Soil", "Phenols", "0105 earth and related environmental sciences", "Monophenol Monooxygenase", "beta-Glucosidase", "Temperature", "temperature", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "dissolved organic carbon", "matter", "Carbon", "Phosphoric Monoester Hydrolases", "6. Clean water", "enzyme", "bog", "13. Climate action", "community", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1021/es061765v"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/es061765v", "name": "item", "description": "10.1021/es061765v", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/es061765v"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-03-29T00:00:00Z"}}, {"id": "10.1023/a:1020368130679", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-26T16:17:19Z", "type": "Journal Article", "created": "2003-03-15", "title": "Response Of A Sphagnum Bog Plant Community To Elevated Co2 And N Supply", "description": "The response of plant growth to rising CO2 levels appears todepend on nutrient availability, but it is not known whether the growth of bogplants reacts similarly. We therefore studied the effects of elevatedCO2 in combination with N supply on the growth ofSphagnum mosses and vascular plants in ombrotrophic bogvegetation. Because the growth of Sphagnum is lessnutrient-limited than that of vascular plants, we hypothesized thatSphagnum would benefit from elevated CO2. In ourgreenhouse experiment, peat monoliths (34 cm diameter, 40cm deep) with intact bog vegetation were exposed to ambient (350ppmv) or elevated (560 ppmv) atmosphericCO2 combined with low (no N addition) or high (5 g Nm\u22122 yr\u22121 added) N deposition for twogrowing seasons. Elevated atmospheric CO2 had unexpected deleterious effectson the growth of Sphagnum magellanicum, the dominant Sphagnumspecies. Growth was greatly reduced, particularly in the second growing seasonwhen, regardless of N supply, the mosses looked unhealthy. The negativeCO2 effect was strongest in the warmest months, suggesting a combinedeffect of elevated CO2 and the raised temperatures in the greenhouse.High N deposition favored Rhynchospora alba, which became the dominant vascular plant speciesduring the experiment. Biomass increased more when N supply was high. There wereno significant effects of elevated CO2 on vascular plants, althoughelevated CO2 combined with high N supply tended to increase theaboveground vascular plant biomass. As Sphagnum is the maincarbon-sequestrating species in bogs and rising atmospheric CO2levels are likely to be followed by increases in temperature, there is an urgentneed for further research on the combined effects of elevated CO2 andincreased temperature on Sphagnum growth in bog ecosystems.", "keywords": ["Sphagnum magellanicum", "Carbon dioxide", "13. Climate action", "Rhynchospora alba", "Climate change", "Greenhouse experiment", "15. Life on land", "Nitrogen deposition"]}, "links": [{"href": "https://doi.org/10.1023/a:1020368130679"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1023/a:1020368130679", "name": "item", "description": "10.1023/a:1020368130679", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1023/a:1020368130679"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-09-01T00:00:00Z"}}, {"id": "10.1046/j.1354-1013.2001.00440.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:41Z", "type": "Journal Article", "created": "2003-03-11", "title": "Effects Of Elevated Co2 And Vascular Plants On Evapotranspiration In Bog Vegetation", "description": "Abstract<p>We determined evapotranspiration in three experiments designed to study the effects of elevated CO2 and increased N deposition on ombrotrophic bog vegetation. Two experiments used peat monoliths with intact bog vegetation in containers, with one experiment outdoors and the other in a greenhouse. A third experiment involved monocultures and mixtures of Sphagnum magellanicum and Eriophorum angustifolium in containers in the same greenhouse. To determine water use of the bog vegetation in July\uffe2\uff80\uff93August for each experiment and each year we measured water inputs and outputs from the containers. We studied the effects of elevated CO2 and N supply on evapotranspiration in relation to vascular plant biomass and exposure of the moss surface (measured as height of the moss surface relative to the container edge).</p><p>Elevated CO2 reduced water use of the bog vegetation in all three experiments, but the CO2 effect on evapotranspiration interacted with vascular plant biomass and exposure of the moss surface. Evapotranspiration in the outdoor experiment was largely determined by evaporation from the Sphagnum moss surface (as affected by exposure to wind) and less so by vascular plant transpiration. Nevertheless, elevated CO2 significantly reduced evapotranspiration by 9\uffe2\uff80\uff9310% in the outdoor experiment.</p><p>Vascular plants reduced evapotranspiration in the outdoor experiment, but increased water use in the greenhouse experiments. The relation between vascular plant abundance and evapotranspiration appears to depend on wind conditions; suggesting that vascular plants reduce water losses mainly by reducing wind speed at the moss surface.</p><p> Sphagnum growth is very sensitive to changes in water level; low water availability can have deleterious effects. As a consequence, reduced evapotranspiration in summer, whether caused by elevated CO2 or by small increases in vascular plant cover, is expected to favour Sphagnum growth in ombrotrophic bog vegetation.</p>", "keywords": ["0106 biological sciences", "Sphagnum", "Carbon dioxide", "Evapotranspiration", "13. Climate action", "Peat bog", "15. Life on land", "01 natural sciences", "6. Clean water", "Mire", "Water use", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1046/j.1354-1013.2001.00440.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1354-1013.2001.00440.x", "name": "item", "description": "10.1046/j.1354-1013.2001.00440.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1354-1013.2001.00440.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-10-01T00:00:00Z"}}, {"id": "10.1046/j.1365-2486.2002.00535.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:43Z", "type": "Journal Article", "created": "2003-03-11", "title": "Potassium Limits Potential Growth Of Bog Vegetation Under Elevated Atmospheric Co2 And N Deposition", "description": "Abstract<p>The free air carbon dioxide enrichment (FACE) and N\uffc2\uffa0deposition experiments on four ombrotrophic bogs in Finland, Sweden, the Netherlands and Switzerland, revealed that after three years of treatment: (1) elevated atmospheric CO2concentration had no significant effect on the biomass growth ofSphagnumand vascular species; and (2) increased N\uffc2\uffa0deposition reduced Sphagnum growth, because it increased the cover of vascular plants and the tall mossPolytrichum strictum, while vascular plant biomass growth was not affected. This paper focuses on water chemistry, plant nutrient content, and litter decomposition rates. Potassium limitation, or low supply of K\uffc2\uffa0and P, may have prevented a significant increase ofSphagnumgrowth under elevated CO2and N\uffc2\uffa0deposition. Vascular plant growth under elevated CO2and N\uffc2\uffa0deposition was also limited by K, or by K\uffc2\uffa0in combination with P\uffc2\uffa0or N\uffc2\uffa0(N in CO2experiment). Elevated CO2and N\uffc2\uffa0deposition had no effect on decomposition rates ofSphagnumand vascular plant litter. Aside from a possible effect of N\uffc2\uffa0deposition on light competition between species, we expect that elevated atmospheric CO2and N\uffc2\uffa0deposition concentrations will not affectSphagnumand vascular plant growth in bogs of north\uffe2\uff80\uff90west Europe due to K\uffe2\uff80\uff90, or K\uffc2\uffa0in combination with N\uffe2\uff80\uff90 or P\uffe2\uff80\uff90, limited growth. For the same reason we expect no effect of elevated CO2and N\uffc2\uffa0deposition on litter decomposition. Net primary production of raised ombrotrophic bogs that are at or close to steady state, is regulated by input of nutrients through atmospheric deposition. Therefore, we hypothesize that the expected increase of plant growth under elevated CO2and N\uffc2\uffa0deposition is diminished by current levels of K\uffc2\uffa0(and to some extent P\uffc2\uffa0and N) in atmospheric deposition.</p>", "keywords": ["0106 biological sciences", "Sphagnum", "Carbon dioxide", "13. Climate action", "Bog", "Litter decomposition", "Nutrient limited growth", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Nitrogen deposition", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1046/j.1365-2486.2002.00535.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1365-2486.2002.00535.x", "name": "item", "description": "10.1046/j.1365-2486.2002.00535.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1365-2486.2002.00535.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-09-30T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2011.02585.x", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-26T16:18:45Z", "type": "Journal Article", "created": "2011-10-24", "title": "High Nitrogen Deposition Alters The Decomposition Of Bog Plant Litter And Reduces Carbon Accumulation", "description": "Abstract<p>Bogs are globally important sinks of atmospheric carbon (C) due to the accumulation of partially decomposed litter that forms peat. Because bogs receive their nutrients from the atmosphere, the world\uffe2\uff80\uff90wide increase of nitrogen (N) deposition is expected to affect litter decomposition and, ultimately, the rate of C accumulation. However, the mechanism of such biogeochemical alteration remains unclear and quantification of the effect of N addition on litter accumulation has yet to be done. Here, we show that 7\uffc2\uffa0years of N addition to a bog decreased the C\uffc2\uffa0:\uffc2\uffa0N ratio, increased the bacterial biomass and stimulated the activity of hydrolytic and oxidative enzymes in surface peat. Furthermore, N addition modified nutrient limitation of microbes during litter decomposition so that phosphorus became a primary limiting nutrient. Alteration of N release from decomposing litter affected bog water chemistry and the competitive balance between peat\uffe2\uff80\uff90forming mosses and vascular plants. We estimate that deposition of about 4 g\uffc2\uffa0N\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0yr\uffe2\uff88\uff921 will cause a mean annual reduction of fresh litter C accumulation of about 40\uffc2\uffa0g\uffc2\uffa0m\uffe2\uff88\uff922 primarily as a consequence of decreased litter production from peat\uffe2\uff80\uff90forming mosses. Our findings show that N deposition interacts with both above and below ground components of biodiversity to threaten the ability of bogs to act as N\uffe2\uff80\uff90sinks, which may offset the positive effects of N on C accumulation seen in other ecosystems.</p>", "keywords": ["570", "Decomposition; litter accumulation modelling; microbial diversity; peatland; primary production; soil enzymatic activity; Sphagnum; vascular plants", "decomposition", "04 agricultural and veterinary sciences", "litter accumulation modelling", "soil enzymatic activity", "15. Life on land", "S phagnum", "13. Climate action", "microbial diversity", "0401 agriculture", " forestry", " and fisheries", "peatland", "vascular plants", "primary production"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2011.02585.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2011.02585.x", "name": "item", "description": "10.1111/j.1365-2486.2011.02585.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2011.02585.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-23T00:00:00Z"}}, {"id": "10.1128/aem.02218-17", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:19:02Z", "type": "Journal Article", "created": "2017-11-27", "title": "Impact of Peat Mining and Restoration on Methane Turnover Potential and Methane-Cycling Microorganisms in a Northern Bog", "description": "ABSTRACT           <p>             Ombrotrophic peatlands are a recognized global carbon reservoir. Without restoration and peat regrowth, harvested peatlands are dramatically altered, impairing their carbon sink function, with consequences for methane turnover. Previous studies determined the impact of commercial mining on the physicochemical properties of peat and the effects on methane turnover. However, the response of the underlying microbial communities catalyzing methane production and oxidation have so far received little attention. We hypothesize that with the return of             Sphagnum             spp. postharvest, methane turnover potential and the corresponding microbial communities will converge in a natural and restored peatland. To address our hypothesis, we determined the potential methane production and oxidation rates in natural (as a reference), actively mined, abandoned, and restored peatlands over two consecutive years. In all sites, the methanogenic and methanotrophic population sizes were enumerated using quantitative PCR (qPCR) assays targeting the             mcrA             and             pmoA             genes, respectively. Shifts in the community composition were determined using Illumina MiSeq sequencing of the             mcrA             gene and a             pmoA             -based terminal restriction fragment length polymorphism (t-RFLP) analysis, complemented by cloning and sequence analysis of the             mmoX             gene. Peat mining adversely affected methane turnover potential, but the rates recovered in the restored site. The recovery in potential activity was reflected in the methanogenic and methanotrophic abundances. However, the microbial community composition was altered, being more pronounced for the methanotrophs. Overall, we observed a lag between the recovery of the methanogenic/methanotrophic activity and the return of the corresponding microbial communities, suggesting that a longer duration (&gt;15 years) is needed to reverse mining-induced effects on the methane-cycling microbial communities.           </p>           <p>             IMPORTANCE             Ombrotrophic peatlands are a crucial carbon sink, but this environment is also a source of methane, an important greenhouse gas. Methane emission in peatlands is regulated by methane production and oxidation catalyzed by methanogens and methanotrophs, respectively. Methane-cycling microbial communities have been documented in natural peatlands. However, less is known of their response to peat mining and of the recovery of the community after restoration. Mining exerts an adverse impact on potential methane production and oxidation rates and on methanogenic and methanotrophic population abundances. Peat mining also induced a shift in the methane-cycling microbial community composition. Nevertheless, with the return of             Sphagnum             spp. in the restored site after 15 years, methanogenic and methanotrophic activity and population abundance recovered well. The recovery, however, was not fully reflected in the community composition, suggesting that &gt;15 years are needed to reverse mining-induced effects.           </p>", "keywords": ["0301 basic medicine", "570", "oxidation", "hiili", "ta1172", "Euryarchaeota", "630", "Mining", "Soil", "03 medical and health sciences", "Sphagnum", "Bacterial Proteins", "Nitrogen Fixation", "Sphagnopsida", "14. Life underwater", "ennallistaminen", "turvemaat", "Ecosystem", "Phylogeny", "Soil Microbiology", "0303 health sciences", "nifH", "methane", "Microbiota", "ta1182", "land use", "methanogenesis", "15. Life on land", "Carbon", "kasvihuonekaasup\u00e4\u00e4st\u00f6t", "nitrogen fixation", "13. Climate action", "international", "Wetlands", "Oxygenases", "ta1181", "Methane", "Oxidation-Reduction"]}, "links": [{"href": "https://journals.asm.org/doi/pdf/10.1128/AEM.02218-17"}, {"href": "https://doi.org/10.1128/aem.02218-17"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20and%20Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/aem.02218-17", "name": "item", "description": "10.1128/aem.02218-17", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/aem.02218-17"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-1022519/v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:19:50Z", "type": "Journal Article", "created": "2021-11-08", "title": "Too Much of a Good Thing? Inorganic Nitrogen (N) Inhibits Moss-Associated N2 Fixation But Organic N Can Promote It", "description": "<title>Abstract</title>         <p>Moss-associated nitrogen (N<sub>2</sub>) fixation is one of the main inputs of new N in pristine ecosystems that receive low amounts of atmospheric N deposition. Previous studies have shown that N<sub>2</sub> fixation is inhibited by inorganic N (IN) inputs, but if N<sub>2</sub> fixation in mosses is similarly affected by organic N (ON) remains unknown. Here, we assessed N<sub>2</sub> fixation in two dominant mosses in boreal forests (<italic>Pleurozium schreberi</italic> and <italic>Sphagnum capillifolium</italic>) in response to different levels of N, simulating realistic (up to 4 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) and extreme N deposition rates in pristine ecosystems (up to 20 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) of IN (NH<sub>4</sub>NO<sub>3</sub>) and ON (alanine and urea). We also assessed if N<sub>2</sub> fixation can recover from the N additions. In the realistic scenario, N<sub>2</sub> fixation was inhibited by increasing NH<sub>4</sub>NO<sub>3</sub> additions in <italic>P. schreberi</italic> but not in <italic>S. capillifolium</italic>, and alanine and urea stimulated N<sub>2</sub> fixation in both moss species. In contrast, in the extreme N additions, increasing N inputs inhibited N<sub>2</sub> fixation in both moss species and all N forms. Nitrogen fixation was more sensitive to N inputs in <italic>P. schreberi</italic> than in <italic>S. capillifolium</italic> and was higher in the recovery phase after the realistic compared to the extreme N additions. These results demonstrate that N<sub>2</sub> fixation in mosses is less sensitive to organic than inorganic N inputs and highlight the importance of considering different N forms and species-specific responses when estimating the impact of N inputs on ecosystem functions such as moss-associated N<sub>2</sub> fixation.</p>", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Sphagnum", "Nitrogen fixation", "Nitrogen pollution", "Organic nitrogen", "15. Life on land", "Cyanobacteria", "Feathermosses"]}, "links": [{"href": "https://doi.org/10.21203/rs.3.rs-1022519/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-1022519/v1", "name": "item", "description": "10.21203/rs.3.rs-1022519/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-1022519/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-08T00:00:00Z"}}, {"id": "10.5061/dryad.8382j4r", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-26T16:21:23Z", "type": "Dataset", "title": "Data from: Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra \u2013 coupling field observations with remote sensing data", "description": "unspecifiedPlant, soil and remote  sensing attributes of a Siberian Arctic sitePlant and soil data of  study plots were collected in the field in summer 2014. NDVI and  topographical attributes were later extracted from three satellite images,  portraying the field site and vegetation in three different years at 180,  220 and 750 DD (growing degree days with 0 C threshold). Plant species  presence (1 in data) and absence (0 in data) in study plots is available  for dicotyledonous vascular plants. Land cover types are based on  ground-based visual judgement.Mikola et al.  2018_Biogeosciences.xlsx", "keywords": ["Vascular plant", "Satellite image", "soil temperature", "reflectance", "Permafrost", "spatial variation", "Spatial extrapolation", "Salix", "15. Life on land", "Betula nana", "moss", "Ecosystem carbon exchange", "LAI", "Sphagnum", "Carex", "Eriophorum", "13. Climate action", "Land cover type"], "contacts": [{"organization": "Mikola, Juha, Virtanen, Tarmo, Linkosalmi, Maiju, V\u00e4h\u00e4, Emmi, Nyman, Johanna, Postanogova, Olga, R\u00e4s\u00e4nen, Aleksi, Kotze, D. Johan, Laurila, Tuomas, Juutinen, Sari, Kondratyev, Vladimir, Aurela, Mika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8382j4r"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8382j4r", "name": "item", "description": "10.5061/dryad.8382j4r", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8382j4r"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-04T00:00:00Z"}}, {"id": "10.5061/dryad.3216c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:20Z", "type": "Dataset", "title": "Data from: Peatland vascular plant functional types affect methane dynamics by altering microbial community structure", "description": "Open Access1. Peatlands are natural sources of atmospheric methane (CH4), an  important greenhouse gas. It is established that peatland methane dynamics  are controlled by both biotic and abiotic conditions, yet the interactive  effect of these drivers is less studied and consequently poorly  understood. 2. Climate change affects the distribution of vascular plant  functional types (PFTs) in peatlands. By removing specific PFTs, we  assessed their effects on peat organic matter chemistry, microbial  community composition and on potential methane production (PMP) and  oxidation (PMO) in two microhabitats (lawns and hummocks). 3. Whilst PFT  removal only marginally altered the peat organic matter chemistry, we  observed considerable changes in microbial community structure. This  resulted in altered PMP and PMO. PMP was slightly lower when graminoids  were removed, whilst PMO was highest in the absence of both vascular PFTs  (graminoids and ericoids), but only in the hummocks. 4. Path analyses  demonstrate that different plant\u2013soil interactions drive PMP and PMO in  peatlands and that changes in biotic and abiotic factors can have  auto-amplifying effects on current CH4 dynamics. 5. Synthesis. Changing  environmental conditions will, both directly and indirectly, affect  peatland processes, causing unforeseen changes in CH4 dynamics. The  resilience of peatland CH4 dynamics to environmental change therefore  depends on the interaction between plant community composition and  microbial communities.", "keywords": ["methanotrophic communities", "Sphagnum cuspidatum", "Vaccinium oxycoccus", "Andromeda polifolia", "Sphagnum magellanicum", "Eriophorum angustifolium", "Graminoids", "Rhynchospora alba", "Sphagnum spp.", "path analysis", "mid\u2013infrared spectroscopy", "Empetrum nigrum", "Sphagnum rubellum", "CH4", "Holocene", "Ericoids", "Calluna vulgaris", "methanogenesis", "15. Life on land", "Eriophorum vaginatum", "Sphagnum\u2013dominated peatlands", "13. Climate action", "path analysis; Sphagnum magellanicum; Vaccinium oxycoccus; mid\u2013infrared spectroscopy; Graminoids; Plant\u2013soil (below-ground) interactions; Empetrum nigrum; Sphagnum spp.; Eriophorum vaginatum; Calluna vulgaris; methanotrophic communities; methanogenesis; CH4; PLFA; Sphagnum cuspidatum; Sphagnum\u2013dominated peatlands; Rhynchospora alba; Eriophorum angustifolium; Andromeda polifolia; pmoA; Ericoids; Sphagnum rubellum; Erica tetralix; Holocene", "PLFA", "pmoA", "Erica tetralix"], "contacts": [{"organization": "Robroek, Bjorn J. M., Jassey, Vincent E. J., Kox, Martine A. R., Berendsen, Roeland L., Mills, Robert T. E., C\u00e9cillon, Lauric, Puissant, J\u00e9remy, Meima\u2013Franke, Marion, Bakker, Peter A. H. M., Bodelier, Paul L. E., Meima-Franke, Marion,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3216c"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3216c", "name": "item", "description": "10.5061/dryad.3216c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3216c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-04-20T00:00:00Z"}}, {"id": "10.5281/zenodo.14917034", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-26T16:22:47Z", "type": "Dataset", "title": "Peatland Decomposition Database (1.1.0)", "description": "1 Introduction  The Peatland Decomposition Database (PDD) stores data from published litterbag experiments related to peatlands. Currently, the database focuses on northern peatlands and Sphagnum litter and peat, but it also contains data from some vascular plant litterbag experiments. Currently, the database contains entries from 34 studies, 2,160 litterbag experiments, and 7,297 individual samples with 117,841 measurements for various attributes (e.g.\u00a0relative mass remaining, N content, holocellulose content, mesh size). The aim is to provide a harmonized data source that can be useful to re-analyse existing data and to plan future litterbag experiments.  The Peatland Productivity and Decomposition Parameter Database (PPDPD) (Bona et al. 2018) is similar to the Peatland Decomposition Database (PDD) in that both contain data from peatland litterbag experiments. The differences are that both databases partly contain different data, that PPDPD additionally contains information on vegetation productivity, which PDD does not, and that PDD provides more information and metadata on litterbag experiments, and also measurement errors.     2 Updates  Compared to version 1.0.0, this version has a new structure for table experimental_design_format, contains additional metadata on the experimental design (these were omitted in version 1.0.0), and contains the scripts that were used to import the data into the database.     3 Methods    3.1 Data collection  Data for the database was collected from published litterbag studies, by extracting published data from figures, tables, or other data sources, and by contacting the authors of the studies to obtain raw data. All data processing was done with R (R version 4.2.0 (2022-04-22)) (R Core Team 2022).  Studies were identified via a Scopus search with search string (TITLE-ABS-KEY ( peat* AND ( 'litter bag' OR 'decomposition rate' OR 'decay rate' OR 'mass loss')) AND NOT ('tropic*')) (2022-12-17). These studies were further screened to exclude those which do not contain litterbag data or which recycle data from other studies that have already been considered. Additional studies with litterbag experiments in northern peatlands we were aware of, but which were not identified in the literature search were added to the list of publications. For studies not older than 10 years, authors were contacted to obtain raw data, however this was successful only in few cases. To date, the database focuses on Sphagnum litterbag experiments and not from all studies that were identified by the literature search data have been included yet in the database.  Data from figures were extracted using the package \u2018metaDigitise\u2019 (1.0.1) (Pick, Nakagawa, and Noble 2018). Data from tables were extracted manually.  Data from the following studies are currently included: Farrish and Grigal (1985), Bartsch and Moore (1985), Farrish and Grigal (1988), Vitt (1990), Hogg, Lieffers, and Wein (1992), Sanger, Billett, and Cresser (1994), Hiroki and Watanabe (1996), Szumigalski and Bayley (1996), Prevost, Belleau, and Plamondon (1997), Arp, Cooper, and Stednick (1999), Robbert A. Scheffer and Aerts (2000), R. A. Scheffer, Van Logtestijn, and Verhoeven (2001), Limpens and Berendse (2003), Waddington, Rochefort, and Campeau (2003), Asada, Warner, and Banner (2004), Thormann, Bayley, and Currah (2001), Trinder, Johnson, and Artz (2008), Breeuwer et al. (2008), Trinder, Johnson, and Artz (2009), Bragazza and Iacumin (2009), Hoorens, Stroetenga, and Aerts (2010), Strakov\u00e1 et al. (2010), Strakov\u00e1 et al. (2012), Orwin and Ostle (2012), Lieffers (1988), Manninen et al. (2016), Johnson and Damman (1991), Bengtsson, Rydin, and H\u00e1jek (2018a), Bengtsson, Rydin, and H\u00e1jek (2018b), Asada and Warner (2005), Bengtsson, Granath, and Rydin (2017), Bengtsson, Granath, and Rydin (2016), Hagemann and Moroni (2015), Hagemann and Moroni (2016), B. Piatkowski et al. (2021), B. T. Piatkowski et al. (2021), M\u00e4kil\u00e4 et al. (2018), Golovatskaya and Nikonova (2017), Golovatskaya and Nikonova (2017).      4 Database records  The database is a \u2018MariaDB\u2019 database and the database schema was designed to store data and metadata following the Ecological Metadata Language (EML) (Jones et al. 2019). Descriptions of the tables are shown in Tab. 1.  The database contains general metadata relevant for litterbag experiments (e.g., geographical, temporal, and taxonomic coverage, mesh sizes, experimental design). However, it does not contain a detailed description of sample handling, sample preprocessing methods, site descriptions, because there currently are no discipline-specific metadata and reporting standards. Table 1: Description of the individual tables in the database.     Name Description     attributes Defines the attributes of the database and the values in column attribute_name in table data.   citations Stores bibtex entries for references and data sources.   citations_to_datasets Links entries in table citations with entries in table datasets.   custom_units Stores custom units.   data Stores measured values for samples, for example remaining masses.   datasets Lists the individual datasets.   experimental_design_format Stores information on the experimental design of litterbag experiments.   measurement_scales, measurement_scales_date_time, measurement_scales_interval, measurement_scales_nominal, measurement_scales_ordinal, measurement_scales_ratio Defines data value types.   missing_value_codes Defines how missing values are encoded.   samples Stores information on individual samples.   samples_to_samples Links samples to other samples, for example litter samples collected in the field to litter samples collected during the incubation of the litterbags.   units, unit_types Stores information on measurement units.        5 Attributes Table 2: Definition of attributes in the Peatland Decomposition Database and entries in the column attribute_name in table data.     Name Definition Example value Unit Measurement scale Number type Minimum value Maximum value String format     4_hydroxyacetophenone_mass_absolute A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxyacetophenone_mass_relative_mass A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzaldehyde_mass_absolute A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzaldehyde_mass_relative_mass A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzoic_acid_mass_absolute A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzoic_acid_mass_relative_mass A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   abbreviation In table custom_units: A string representing an abbreviation for the custom unit. gC NA nominal NA NA NA NA   acetone_extractives_mass_absolute A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetone_extractives_mass_relative_mass A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetosyringone_mass_absolute A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetosyringone_mass_relative_mass A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetovanillone_mass_absolute A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetovanillone_mass_relative_mass A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   arabinose_mass_absolute A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   arabinose_mass_relative_mass A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ash_mass_absolute A numeric value representing the content of ash (after burning at 550\u00b0C). 4 g ratio real 0 Inf NA   ash_mass_relative_mass A numeric value representing the content of ash (after burning at 550\u00b0C). 0.05 g/g ratio real 0 Inf NA   attribute_definition A free text field with a textual description of the meaning of attributes in the dpeatdecomposition database. NA NA nominal NA NA NA NA   attribute_name A string describing the names of the attributes in all tables of the dpeatdecomposition database. attribute_name NA nominal NA NA NA NA   bibtex A string representing the bibtex code used for a literature reference throughout the dpeatdecomposition database. Galka.2021 NA nominal NA NA NA NA   bounds_maximum A numeric value representing the minimum possible value for a numeric attribute. 0 NA interval real Inf Inf NA   bounds_minimum A numeric value representing the maximum possible value for a numeric attribute. INF NA interval real Inf Inf NA   bulk_density A numeric value representing the bulk density of the sample [g cm-3]. 0,2 g/cm^3 ratio real 0 Inf NA   C_absolute The absolute mass of C in the sample. 1 g ratio real 0 Inf NA   C_relative_mass The absolute mass of C in the sample. 1 g/g ratio real 0 Inf NA   C_to_N A numeric value representing the C to N ratio of the sample. 35 g/g ratio real 0 Inf NA   C_to_P A numeric value representing the C to P ratio of the sample. 35 g/g ratio real 0 Inf NA   Ca_absolute The absolute mass of Ca in the sample. 1 g ratio real 0 Inf NA   Ca_relative_mass The absolute mass of Ca in the sample. 1 g/g ratio real 0 Inf NA   cation_exchange_capacity_absolute A numeric value representing the cation exchange capacity. 10 mol ratio real 0 Inf NA   cation_exchange_capacity_relative_mass A numeric value representing the cation exchange capacity relative to sample mass. 200 mol/g ratio real 0 Inf NA   cellulose_mass_absolute A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   cellulose_mass_relative_mass A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   comments_measurement A string representing comments on a measurement. NA NA nominal NA NA NA NA   comments_samples A free text field where you can enter all information related to the sample that is not covered by the remaining fields. For example you could provide information on potential contamination sources, issues with specific parameters, additional information to the sampling site, e.g.\u00a0present vegetation, past vegetation, specific conditions during sampling, \u2026 . \u2026 NA nominal NA NA NA NA   description A free text field. In table \u201ccustom_units\u201d: A description of a custom unit. NA NA nominal NA NA NA NA   dichloromethane_extractives_mass_absolute A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   dichloromethane_extractives_mass_relative_mass A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   dimension A string representing the dimension of the unit. L NA nominal NA NA NA NA   error A numeric value representing the error of the measured value. The unit of the error is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   error_type A character representing the type of the error of a measured value (e.g., sd, 95% interval, etc.). sd NA nominal NA NA NA NA   ethanol_extractives_mass_absolute A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ethanol_extractives_mass_relative_mass A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   experimental_design A character of the format \u2018x_y_z_\u2026\u2019, where x, y, z, \u2026, are integers differentiating hierarchical groups of an experimental design. These groups are explained in table experimental_design_format \u2026 NA nominal NA NA NA NA   experimental_design_description A string describing the variables in the csv file identified by column file in table experimental_design_format for each dataset. \u2026 NA nominal NA NA NA NA   explanation In table missing_value_codes: A string explaining what the corresponding missing value code means. \u2026 NA nominal NA NA NA NA   Fe_absolute The absolute mass of Fe in the sample. 1 g ratio real 0 Inf NA   Fe_relative_mass The absolute mass of Fe in the sample. 1 g/g ratio real 0 Inf NA   ferulic_acid_mass_absolute A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ferulic_acid_mass_relative_mass A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   file A string representing a path to a file. For table experimental_design_format: Path to a csv file providing details on the experimental design and manipulations. NA NA nominal NA NA NA NA   format_string A string defining the format of a nominal variable. YYYY-MM-DD NA nominal NA NA NA NA   galactose_mass_absolute A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galactose_mass_relative_mass A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   galacturonic_acid_mass_absolute A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galacturonic_acid_mass_relative_mass A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucose_mass_absolute A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucose_mass_relative_mass A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucuronic_acid_mass_absolute A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucuronic_acid_mass_relative_mass A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ground_slope The slope of the sample (land surface) as fraction of the vertical distance covered and the horizontal distance. 0.2 cm/cm ratio real 0 Inf NA   holocellulose_mass_absolute A numeric value representing the absolute holocellulose mass in the sample. 0.45 g ratio real 0 Inf NA   holocellulose_mass_relative_mass A numeric value representing the holocellulose content of the sample [g/g]. 0.45 g/g ratio real 0 1 NA   id_citation An integer value representing an id for each entry in the table \u201ccitations\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_dataset A numeric id for the dataset (starting with 1 and increasing by 1; for one data contribution, this should be 1 for all samples and the appropriate id is assigned when the data are merged into the database). 1 NA interval natural 1 Inf NA   id_measurement A numeric id for measurements (starting with 1 and increasing by 1). This means that each measurement gets its own rows and measurements for different attributes are considered independent, i.e.\u00a0multiple measurement ids for the same sample just count replicate measurements for any attribute. For attributes with less measurements than for a different attribute, just fill measurements starting from smaller id_measurement and leave the cells in the remaining rows empty. 1 NA interval natural 1 Inf NA   id_measurement_denominator An integer value representing the identifier for the measurement which is used as denominator in computing a relative quantity (e.g.\u00a0the absolute mass of the initial sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_numerator An integer value representing the identifier for the measurement which is used as numerator in computing a relative quantity (e.g.\u00a0the absolute mass of the sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_scale An integer value representing an id for each entry in the table \u201cmeasurement_scales\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_missing_value_code An integer value representing an id for each entry in the table \u201cmissing_value_codes\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_sample A numeric id for the sample (starting with 1 and increasing by 1). 1 NA interval natural 1 Inf NA   id_sample_child An integer representing an identifier for the child (resulting) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_sample_incubation_start An integer representing an identifier for the sample which is the sample at the start of the incubation (incubation_duration == 0). 1 NA interval natural 1 Inf NA   id_sample_origin An integer representing an identifier for the sample which is the original sample in a line of transitions of a sample (modifications of a sample). 1 NA interval natural 1 Inf NA   id_sample_parent An integer representing an identifier for the parent (initial) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_unit An integer value representing an id for each entry in the table \u201cunits\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   incubation_duration A numeric value representing the number of days over which a sample was incubated. 45 d ratio real 0 Inf NA   incubation_environment A character defining the environment in which a litterbag sample was incubated (e.g.\u00a0\u2018peat\u2019, \u2018container\u2019, \u2026). peat NA nominal NA NA NA NA   is_incubated A logical value indicating whether a sample was collected during the decomposition incubation of a litterbag experiment or not. TRUE NA nominal NA NA NA NA   K_absolute The absolute mass of K in the sample. 1 g ratio real 0 Inf NA   K_relative_mass The absolute mass of K in the sample. 1 g/g ratio real 0 Inf NA   Klason_lignin_mass_absolute A numeric value representing the absolute Klason lignin mass in the sample. 0.26 g ratio real 0 Inf NA   Klason_lignin_mass_relative_mass A numeric value representing the Klason lignin content of the sample [g/g]. 0.26 g/g ratio real 0 1 NA   mannose_mass_absolute A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   mannose_mass_relative_mass A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   mass_absolute The mass of the sample. 1200 mg ratio real 0 Inf NA   mass_relative_mass The mass of the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.87 g/g ratio real 0 Inf NA   measurement_scale A string representing the measurement scale for a value. nominal NA nominal NA NA NA NA   mesh_size_absolute The width of the mesh the litterbags are made of. 0.2 um ratio real 0 Inf NA   Mg_absolute The absolute mass of Mg in the sample. 1 g ratio real 0 Inf NA   Mg_relative_mass The absolute mass of Mg in the sample. 1 g/g ratio real 0 Inf NA   Mn_absolute The absolute mass of Mn in the sample. 1 g ratio real 0 Inf NA   Mn_relative_mass The absolute mass of Mn in the sample. 1 g/g ratio real 0 Inf NA   multiplier_to_si A numeric value representing the value with which a given value with a certain measurement unit has to be multiplied in order to convert it to a related SI unit. 100 dimensionless interval real Inf Inf NA   N_absolute The absolute mass of nitrogen in the sample. 1.2 mg ratio real 0 Inf NA   N_relative_mass The mass of the nitrogen in the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.013 g/g ratio real 0 Inf NA   number_type A string representing the number type of a numeric variable. NA NA nominal NA NA NA NA   P_absolute The absolute mass of P in the sample. 1 g ratio real 0 Inf NA   p_coumaric_acid_mass_absolute A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   p_coumaric_acid_mass_relative_mass A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   P_relative_mass The absolute mass of P in the sample. 1 g/g ratio real 0 Inf NA   parent_si A string representing the SI unit from which a certain derived unit is derived. m NA nominal NA NA NA NA   pH A numeric value representing the pH value of the sample. 5,4 dimensionless interval real Inf Inf NA   phenolics_PHBA_equivalents_mass_absolute A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_PHBA_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 0.04 g/g ratio real 0 1 NA   phenolics_tannic_acid_equivalents_mass_absolute A numeric value representing the mass content of phenolics (tannic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_tannic_acid_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (tannic acid equivalent). 0.04 g/g ratio real 0 1 NA   power An integer value. The power to which the dimension is raised. 2 dimensionless interval integer Inf Inf NA   rhamnose_mass_absolute A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   rhamnose_mass_relative_mass A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   root_diameter_absolute The diameter of roots in the sample. 2 mm ratio real 0 Inf NA   S_absolute The absolute mass of S in the sample. 1 g ratio real 0 Inf NA   S_relative_mass The absolute mass of S in the sample. 1 g/g ratio real 0 Inf NA   sample_depth_lower A numeric value representing the depth of the lower boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 15 cm interval real Inf Inf NA   sample_depth_upper A numeric value representing the depth of the upper boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 12 cm interval real Inf Inf NA   sample_label A string representing a label for each sample. S1 NA nominal NA NA NA NA   sample_microhabitat A string describing the microhabitat where the sample was collected. For peat, this should be one of \u2018hummock\u2019, \u2018hollow\u2019, \u2018lawn\u2019, \u2018pond\u2019. In other cases, a custom value can be used. hummock NA nominal NA NA NA NA   sample_size An integer representing the number of individual measurements which were used to compute the value in column value. 1 NA interval natural 1 Inf NA   sample_treatment A string with an description of an experimental tratment if this was applied. By default, this should be \u2018control\u2019, indicating that there was no manipulation. If there was any experimental manipulation, this can be abbreviated by a label (e.g.\u00a0by a treatment level) that is defined in the textual description of the project (in the file \u2018description.docx\u2019). control NA nominal NA NA NA NA   sample_type A string describing the type of the sample. Must be one of \u2018peat\u2019, \u2018dom\u2019, \u2018vegetation\u2019, \u2018litter\u2019. peat NA nominal NA NA NA NA   sample_type2 A string describing the type of the sample. Here you can provide individual (own) categories which may provide more details than the column sample_type. shoots NA nominal NA NA NA NA   sample_wet_mass_absolute A numeric value representing the mass of the wet sample [g]. 5.6 g ratio real 0 Inf NA   sampling_altitude A numeric value representing the altitude of the exact sampling position [m above sea level]. 543 m ratio real Inf Inf NA   sampling_day An integer representing the day in which a sample was collected. 1 NA interval natural 1 31 NA   sampling_latitude A numeric value representing the latitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0N]. 40447 NA interval real -180 180 NA   sampling_longitude A numeric value representing the longitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0W]. 79983 NA interval real -180 180 NA   sampling_month An integer representing the month in which a sample was collected. 1 NA interval natural 1 12 NA   sampling_year An integer representing the year in which a sample was collected. 1 NA interval natural 1 Inf NA   site_name A character representing the name of the site where the sample was collected. Mer Bleue NA nominal NA NA NA NA   soluble_Klason_lignin_mass_absolute A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 10 g ratio real 0 Inf NA   soluble_Klason_lignin_mass_relative_mass A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 0.04 g/g ratio real 0 1 NA   soluble_lignin_mass_absolute A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   soluble_lignin_mass_relative_mass A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   sphagnan_mass_absolute A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 10 g ratio real 0 Inf NA   sphagnan_mass_relative_mass A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 0.04 g/g ratio real 0 1 NA   standard_unit A logical value indicating if the unit is a standard unit of the Ecological Metadata Language or not. TRUE NA nominal NA NA NA NA   syringe_aldehyde_mass_absolute A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringe_aldehyde_mass_relative_mass A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   syringic_acid_mass_absolute A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringic_acid_mass_relative_mass A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   taxon_organ A string describing the organ of a taxon the sample represents (if the sample represents a taxon). For example, if the sample is Carex lasiocarpa, this could be \u2018shoot\u2019, or \u2018root\u2019, or \u2018leaves\u2019. root NA nominal NA NA NA NA   taxon_rank_name A string describing the taxon rank the value in column taxon_rank_value represents (if the sample can be assigned to a specific taxon). For exampe, if the value in column taxon_rank_value is a species name, then you should enter \u2018species\u2019 here, or if the value in column taxon_rank_value is a genus name, then you should enter \u2018genus\u2019 here. species NA nominal NA NA NA NA   taxon_rank_value A string describing the taxon rank value of the sample (if the sample can be assigned to a taxon). For example, if the sample is a distinct species, enter the scientific species name here, or if the sample can be assigned to a genus, enter the scientific genus name here. Sphagnum magellanicum NA nominal NA NA NA NA   temperature A numeric value representing the temperature of the sample [K]. 293.4 K ratio real 0 Inf NA   text_domain_definition A string representing the text domain for a string. NA NA nominal NA NA NA NA   transition_description A string representing a description of what happened to a parent sample during its transition to the child sample. transplantation NA nominal NA NA NA NA   udunits_unit A string representing a measurement unit in the udunits format. m NA nominal NA NA NA NA   unit_type A string representing the type of a unit. length NA nominal NA NA NA NA   value A numeric value representing the measured value. The unit of the value is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   value_type A character representing the type of the measured value. One of \u2018point\u2019 (for a single measurement without uncertainty), or \u2018mean\u2019 (average of multiple measurements). point NA nominal NA NA NA NA   vanillic_acid_mass_absolute A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillic_acid_mass_relative_mass A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   vanillin_mass_absolute A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillin_mass_relative_mass A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   volume A numeric value representing the volume of the sample [cm3]. 20 cm^3 ratio real 0 Inf NA   water_extractives_mass_absolute A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   water_extractives_mass_relative_mass A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   water_mass_absolute A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g] 5.6 g ratio real 0 Inf NA   water_mass_relative_mass A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g/g] 2.4 g/g ratio real 0 1 NA   water_mass_relative_volume A numeric value representing the water mass content of the sample as mass of water divided by the volume of the wet sample [g cm-3]. 0.6 g/cm^3 ratio real 0 1 NA   water_table_depth A numeric value representing the depth to the water table level relative to the position of the sample. 23.4 cm ratio real -Inf Inf NA   xylose_mass_absolute A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   xylose_mass_relative_mass A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA        6 Usage notes    6.1 Download  The Peatland Decomposition Database can be downloaded from https://doi.org/10.5281/zenodo.11276065. There you can also download a folder \u201cderived_data\u201d that contains csv files with the experimental design for each study (see attribute file in Tab. 2), and a folder \u201cscripts\u201d with the R Markdown scripts used to import the data into the database.     6.2 Set up  The downloaded database needs to be imported in a running MariaDB instance. In a linux terminal, the downloaded sql file can be imported like so:  mysql -u<user> -p dpeatdecomposition < dpeatdecomposition-backup-2025-02-24.sql  Here, <user> is the database user name.     6.3 R interface  The R package \u2018dpeatdecomposition\u2019 (Teickner and Knorr 2024) provides an R interface to the database, based on the packages \u2018RMariaDB\u2019 (M\u00fcller et al. 2021), and \u2018dm\u2019 (Schieferdecker, M\u00fcller, and Bergant 2022).      7 Citation  If you use data from the Peat Decomposition Database, cite the database and each of the original data sources you use. Bibliographic information on each data source are stored in table citations and linked to datasets via table citations_to_datasets.  The database can be cited as: Teickner, Henning and Klaus-Holger Knorr. 2024. \u201cThe Peatland Decomposition Database.\u201d Zenodo. https://doi.org/10.5281/zenodo.11276065.  Bibtex entries for each dataset can also be obtained using the \u2018dpeatdecomposition\u2019 package:  # connect to database con <-   RMariaDB::dbConnect(     drv = RMariaDB::MariaDB(),     dbname = 'dpeatdecomposition',     default.file = '~/my.cnf'   )  # get database as dm object dm_dpeatdecomposition <-   dpeatdecomposition::dp_get_dm(con, learn_keys = TRUE)  # extract bibtex entries dm_dpeatdecomposition |>   dm::dm_zoom_to(datasets) |>   dm::left_join(citations_to_datasets, by = 'id_dataset') |>   dm::left_join(citations, by = 'id_citation') |>   dm::pull_tbl() |>   as.data.frame()  # disconnect RMariaDB::dbDisconnect(con)  A full list of references for the individual datasets is provided in Tab. 3. Table 3: Sources for each dataset in the Peatland Decomposition Database.     id_dataset Source     1 Farrish and Grigal (1985)   2 Bartsch and Moore (1985)   3 Farrish and Grigal (1988)   4 Vitt (1990)   5 Hogg, Lieffers, and Wein (1992)   6 Sanger, Billett, and Cresser (1994)   7 Hiroki and Watanabe (1996)   8 Szumigalski and Bayley (1996)   9 Prevost, Belleau, and Plamondon (1997)   10 Arp, Cooper, and Stednick (1999)   11 Robbert A. Scheffer and Aerts (2000)   12 R. A. Scheffer, Van Logtestijn, and Verhoeven (2001)   13 Limpens and Berendse (2003)   14 Waddington, Rochefort, and Campeau (2003)   15 Asada, Warner, and Banner (2004)   16 Thormann, Bayley, and Currah (2001)   17 Trinder, Johnson, and Artz (2008)   18 Breeuwer et al. (2008)   19 Trinder, Johnson, and Artz (2009)   20 Bragazza and Iacumin (2009)   21 Hoorens, Stroetenga, and Aerts (2010)   22 Strakov\u00e1 et al. (2010)   22 Strakov\u00e1 et al. (2012)   23 Orwin and Ostle (2012)   24 Lieffers (1988)   25 Manninen et al. (2016)   26 Johnson and Damman (1991)   27 Bengtsson, Rydin, and H\u00e1jek (2018a)   27 Bengtsson, Rydin, and H\u00e1jek (2018b)   28 Asada and Warner (2005)   29 Bengtsson, Granath, and Rydin (2017)   29 Bengtsson, Granath, and Rydin (2016)   30 Hagemann and Moroni (2015)   30 Hagemann and Moroni (2016)   31 B. Piatkowski et al. (2021)   31 B. T. Piatkowski et al. (2021)   32 M\u00e4kil\u00e4 et al. (2018)   33 Golovatskaya and Nikonova (2017)   34 Golovatskaya and Nikonova (2017)        8 Acknowledgements  Development of this database was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant no. KN 929/23-1 to Klaus-Holger Knorr and grant no. PE 1632/18-1 to Edzer Pebesma.     References    Arp, Christopher D., David J. Cooper, and John D. Stednick. 1999. \u201cThe Effects of Acid Rock Drainage on Carex Aquatilis Leaf Litter Decomposition in Rocky Mountain Fens.\u201d Wetlands 19 (3): 665\u201374. https://doi.org/10.1007/BF03161703.  Asada, Taro, and Barry G. Warner. 2005. \u201cSurface Peat Mass and Carbon Balance in a Hypermaritime Peatland.\u201d Soil Science Society of America Journal 69 (2): 549\u201362. https://doi.org/10.2136/sssaj2005.0549.  Asada, Taro, Barry G Warner, and Allen Banner. 2004. \u201cSphagnum Invasion After Clear-Cutting and Excavator Mounding in a Hypermaritime Forest of British Columbia.\u201d Canadian Journal of Forest Research 34 (8): 1730\u201346. https://doi.org/10.1139/x04-042.  Bartsch, I., and T. R. Moore. 1985. \u201cA Preliminary Investigation of Primary Production and Decomposition in Four Peatlands Near Schefferville, Qu\u00e9bec.\u201d Canadian Journal of Botany 63 (7): 1241\u201348. https://doi.org/10.1139/b85-171.  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Schieferdecker, Tobias, Kirill M\u00fcller, and Darko Bergant. 2022. \u201cdm: Relational Data Models.\u201d  Strakov\u00e1, Petra, Jani Anttila, Peter Spetz, Veikko Kitunen, Tarja Tapanila, and Raija Laiho. 2010. \u201cLitter Quality and Its Response to Water Level Drawdown in Boreal Peatlands at Plant Species and Community Level.\u201d Plant and Soil 335 (1-2): 501\u201320. https://doi.org/10.1007/s11104-010-0447-6.  Strakov\u00e1, Petra, Timo Penttil\u00e4, Jukka Laine, and Raija Laiho. 2012. \u201cDisentangling Direct and Indirect Effects of Water Table Drawdown on Above- and Belowground Plant Litter Decomposition: Consequences for Accumulation of Organic Matter in Boreal Peatlands.\u201d Global Change Biology 18 (1): 322\u201335. https://doi.org/10.1111/j.1365-2486.2011.02503.x.  Szumigalski, Anthony R., and Suzanne E. Bayley. 1996. \u201cDecomposition Along a Bog to Rich Fen Gradient in Central Alberta, Canada.\u201d Canadian Journal of Botany 74 (4): 573\u201381. https://doi.org/10.1139/b96-073.  Teickner, Henning, and Klaus-Holger Knorr. 2024. \u201cdpeatdecomposition: R Interface to the Peatland Decomposition Database.\u201d  Thormann, Markus N, Suzanne E Bayley, and Randolph S Currah. 2001. \u201cComparison of Decomposition of Belowground and Aboveground Plant Litters in Peatlands of Boreal Alberta, Canada.\u201d Canadian Journal of Botany 79 (1): 9\u201322. https://doi.org/10.1139/b00-138.  Trinder, Clare J., David Johnson, and Rebekka R. E. Artz. 2008. \u201cInteractions Among Fungal Community Structure, Litter Decomposition and Depth of Water Table in a Cutover Peatland.\u201d FEMS Microbiology Ecology 64 (3): 433\u201348. https://doi.org/10.1111/j.1574-6941.2008.00487.x.  \u2014\u2014\u2014. 2009. \u201cLitter Type, but Not Plant Cover, Regulates Initial Litter Decomposition and Fungal Community Structure in a Recolonising Cutover Peatland.\u201d Soil Biology and Biochemistry 41 (3): 651\u201355. https://doi.org/10.1016/j.soilbio.2008.12.006.  Vitt, Dale H. 1990. \u201cGrowth and Production Dynamics of Boreal Mosses over Climatic, Chemical and Topographic Gradients.\u201d Botanical Journal of the Linnean Society 104 (1-3): 35\u201359. https://doi.org/10.1111/j.1095-8339.1990.tb02210.x.  Waddington, J. M., L. Rochefort, and S. Campeau. 2003. \u201cSphagnum Production and Decomposition in a Restored Cutover Peatland.\u201d Wetlands Ecology and Management 11 (1): 85\u201395. https://doi.org/10.1023/A:1022009621693.", "keywords": ["Databases", "Carex", "Sphagnum", "decomposition", "litterbag", "northern peatland", "peatland"], "contacts": [{"organization": "Teickner, Henning, Knorr, Klaus-Holger,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14917034"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14917034", "name": "item", "description": "10.5281/zenodo.14917034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14917034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-24T00:00:00Z"}}, {"id": "10.5281/zenodo.17092587", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-26T16:23:11Z", "type": "Dataset", "title": "Peatland Mid-Infrared Database (1.0.0)", "description": "README  2025-09-10     Introduction  The peatland mid-infrared database (pmird) stores data from peat, vegetation, litter, and dissolved organic matter samples, in particular mid-infrared spectra and other variables, from previously published and unpublished data sources. The majority of samples in the database are peat samples from northern bogs. Currently, the database contains entries from 26 studies, 11216 samples, and 3877 mid infrared spectra. The aim is to provide a harmonized data source that can be useful to re-analyse existing data, analyze peat chemistry, develop and test spectral prediction models, and provide data on various peat properties.     Usage notes    Download and Setup  The peatland mid-infrared database can be downloaded from https://doi.org/10.5281/zenodo.17092587. The publication contains the following files and folders:      pmird-backup-2025-09-10.sql: A mysqldump backup of the pmird database.     pmird_prepared_data: A folder that contains:    Folders like c00001-2020-08-17-Hodgkins with the raw spectra for samples from each dataset in the pmird database (see below for how to import the spectra).  Files like pmird_prepare_data_c00001-2020-08-17-Hodgkins.Rmd that contain the R code used to process and import the data from each dataset into the database. Corresponding html files contain the compiled scripts.  pmird_prepare_data.Rmd: An Rmarkdown script that was used to run the scripts that created the database (the top level script).      mysql_scripts: A folder that contains:    pmird_mysql_initialization.sql: MariaDB script to initialize the database.  001-db-initialize.Rmd: Rmarkdown script that executes pmird_mysql_initialization.sql and populated dataset-independent tables.  add-citations.Rmd: Rmarkdown script that adds information on references to the database.  add-licenses.Rmd: Rmarkdown script that adds information on licenses to the database.  add-mir-metadata-quality.Rmd Rmarkdown script that adds information on the quality of the infrared spectra to the database.      Dockerfile: A Dockerfile that defines the computing environment used to create the database.     renv.lock A renv.lock file that lists the R packages used to create the database.    The database can be set up as follows: The downloaded database needs to be imported in a running MariaDB instance. In a linux terminal, the downloaded sql file can be imported like so:  mysql -u<user> -p pmird < pmird-backup-2025-09-10.sql  Here, <user> is the database user name.  The database itself does not contain the infrared spectra. These data are in folder pmird_prepared_data which needs to be stored at any place in the file system.      R interface  The R package \u2018pmird\u2019 (Teickner 2025) provides an R interface to the database, based on the packages \u2018RMariaDB\u2019 (M\u00fcller et al. 2021) and \u2018dm\u2019 (Schieferdecker, M\u00fcller, and Bergant 2022). This interface can also be used to import the mid-infrared spectra that belong to extracted data records (please see the documentation of the \u2018pmird\u2019 R package for details, https://henningte.github.io/pmird/).     Citation  If you use data from the Peat Decomposition Database, cite the database and each of the original data sources you use. Bibliographic information on each data source are stored in table datasets (column reference_publication).  The database can be cited as:    Teickner, H., Agethen, S., Berger, S., Boelsen, R. I., Borken, W., Bragazza, L., Broder, T., De La Cruz, F. B., Diaconu, A.-C., Dise, N. B., Drollinger, S., Estop-Aragon\u00e9s, C., Ga\u0142ka, M., Mart\u00ed, M., Glatzel, S., Gro\u00df, J., Harris, L., Heffernan, L., Hodgkins, S. B., \u2026 Knorr, K.-H. (2025). Peatland mid-infrared database [Dataset]. https://doi.org/10.5281/zenodo.17092587      Data sources  Data in the database were derived from the following sources: De la Cruz, Osborne, and Barlaz (2016), Hodgkins et al. (2018), Knierzinger et al. (2020), Knierzinger (2020), M\u00fcnchberger (2019), M\u00fcnchberger et al. (2019), Schuster et al. (2022), Drollinger, Kuzyakov, and Glatzel (2019), Drollinger et al. (2020), Agethen and Knorr (2018), Kendall (2020), L. I. Harris et al. (2023), L. Harris and Olefeldt (2023), Pelletier et al. (2017), Teickner, Gao, and Knorr (2021), Teickner, Gao, and Knorr (2022), Heffernan (2019), Heffernan et al. (2020), Broder et al. (2012), Anzenhofer (2014), Mathijssen et al. (2019), Wagner (2013), H\u00f6mberg (2014), Berger et al. (2017), Berger et al. (2018), Moore et al. (2019), Diaconu et al. (2020), Ga\u0142ka, H\u00f6lzer, et al. (2022), Ga\u0142ka, Diaconu, et al. (2022), Harris et al. (2018), Harris et al. (2019), Boothroyd et al. (2021), Worrall (2021), Reuter et al. (2019b), Reuter et al. (2019a), Reuter et al. (2020), Liu and Lennartz (2019), Moore et al. (2005), Turunen et al. (2004).     Acknowledgements  Development of this database was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant no. KN 929/23-1 to Klaus-Holger Knorr and grant no. PE 1632/18-1 to Edzer Pebesma.     References      Agethen, Svenja, and Klaus-Holger Knorr. 2018. \u201cJuncus Effusus Mono-Stands in Restored Cutover Peat Bogs \u2013 Analysis of Litter Quality, Controls of Anaerobic Decomposition, and the Risk of Secondary Carbon Loss.\u201d Soil Biology and Biochemistry 117: 139\u201352. https://doi.org/10.1016/j.soilbio.2017.11.020.     Anzenhofer, Regina. 2014. \u201cBiogeochemical Characterization of Peat Profiles Along a Vegetation Gradient in an Ombrotrophic Bog, Patagonia.\u201d Master\u2019s thesis.     Berger, Sina, Gerhard Gebauer, Christian Blodau, and Klaus-Holger Knorr. 2017. \u201cPeatlands in a Eutrophic World \u2013 Assessing the State of a Poor Fen-Bog Transition in Southern Ontario, Canada, After Long Term Nutrient Input and Altered Hydrological Conditions.\u201d Soil Biology and Biochemistry 114 (November): 131\u201344. https://doi.org/10.1016/j.soilbio.2017.07.011.     Berger, Sina, Leandra S. E. Praetzel, Marie Goebel, Christian Blodau, and Klaus-Holger Knorr. 2018. \u201cDifferential Response of Carbon Cycling to Long-Term Nutrient Input and Altered Hydrological Conditions in a Continental Canadian Peatland.\u201d Biogeosciences 15 (3): 885\u2013903. https://doi.org/10.5194/bg-15-885-2018.     Boothroyd, I. M., F. Worrall, C. S. Moody, G. D. Clay, G. D. Abbott, and R. Rose. 2021. \u201cSulfur Constraints on the Carbon Cycle of a Blanket Bog Peatland.\u201d Journal of Geophysical Research: Biogeosciences 126 (8). https://doi.org/10.1029/2021JG006435.     Broder, T., C. Blodau, H. Biester, and K. H. Knorr. 2012. \u201cPeat Decomposition Records in Three Pristine Ombrotrophic Bogs in Southern Patagonia.\u201d Biogeosciences 9 (4): 1479\u201391. https://doi.org/10.5194/bg-9-1479-2012.     De la Cruz, Florentino B., Jason Osborne, and Morton A. Barlaz. 2016. \u201cDetermination of Sources of Organic Matter in Solid Waste by Analysis of Phenolic Copper Oxide Oxidation Products of Lignin.\u201d Journal of Environmental Engineering 142 (2): 04015076. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001038.     Diaconu, Andrei-Cosmin, Ioan Tan\u0163\u0103u, Klaus-Holger Knorr, Werner Borken, Angelica Feurdean, Andrei Panait, and Mariusz Ga\u0142ka. 2020. \u201cA Multi-Proxy Analysis of Hydroclimate Trends in an Ombrotrophic Bog over the Last Millennium in the Eastern Carpathians of Romania.\u201d Palaeogeography, Palaeoclimatology, Palaeoecology 538 (January): 109390. https://doi.org/10.1016/j.palaeo.2019.109390.     Drollinger, Simon, Klaus-Holger Knorr, Wolfgang Knierzinger, and Stephan Glatzel. 2020. \u201cPeat Decomposition Proxies of Alpine Bogs Along a Degradation Gradient.\u201d Geoderma 369 (June): 114331. https://doi.org/10.1016/j.geoderma.2020.114331.     Drollinger, Simon, Yakov Kuzyakov, and Stephan Glatzel. 2019. \u201cEffects of Peat Decomposition on \u03b413C and \u03b415N Depth Profiles of Alpine Bogs.\u201d CATENA 178 (July): 1\u201310. https://doi.org/10.1016/j.catena.2019.02.027.        Ga\u0142ka, Mariusz, Andrei-Cosmin Diaconu, Angelica Feurdean, Julie Loisel, Henning Teickner, Tanja Broder, and Klaus-Holger Knorr. 2022. \u201cRelations of Fire, Palaeohydrology, Vegetation Succession, and Carbon Accumulation, as Reconstructed from a Mountain Bog in the Harz Mountains (Germany) During the Last 6200 Years.\u201d Geoderma 424 (October): 115991. https://doi.org/10.1016/j.geoderma.2022.115991.     Ga\u0142ka, Mariusz, Adam H\u00f6lzer, Angelica Feurdean, Julie Loisel, Henning Teickner, Andrei-Cosmin Diaconu, Marta Szal, Tanja Broder, and Klaus-Holger Knorr. 2022. \u201cInsight into the Factors of Mountain Bog and Forest Development in the Schwarzwald Mts.: Implications for Ecological Restoration.\u201d Ecological Indicators 140 (July): 109039. https://doi.org/10.1016/j.ecolind.2022.109039.     Harris, Lorna I., Tim R. Moore, Nigel T. Roulet, and Andrew J. Pinsonneault. 2019. \u201cData from: Lichens: A Limit to Peat Growth?\u201d Data. https://doi.org/10.5061/dryad.s136dc8.     \u2014\u2014\u2014. 2018. \u201cLichens: A Limit to Peat Growth?\u201d Edited by John Lee. Journal of Ecology 106 (6): 2301\u201319. https://doi.org/10.1111/1365-2745.12975.     Harris, Lorna I., David Olefeldt, Nicolas Pelletier, Christian Blodau, Klaus-Holger Knorr, Julie Talbot, Liam Heffernan, and Merritt Turetsky. 2023. \u201cPermafrost Thaw Causes Large Carbon Loss in Boreal Peatlands While Changes to Peat Quality Are Limited.\u201d Global Change Biology, August, gcb.16894. https://doi.org/10.1111/gcb.16894.     Harris, Lorna, and David Olefeldt. 2023. \u201cPermafrost Thaw Causes Large Carbon Loss in Boreal Peatlands While Changes to Peat Quality Are Limited.\u201d Dryad. https://doi.org/10.5061/DRYAD.47D7WM3KK.     Heffernan, Liam. 2019. \u201cPeat Carbon, \u03b414C, Macrofossil, and Humification Data from a Thawing Permafrost Peatland in Western Canada.\u201d UAL Dataverse. https://doi.org/10.7939/DVN/MKM0ZE.           Heffernan, Liam, Cristian Estop-Aragon\u00e9s, Klaus-Holger Knorr, Julie Talbot, and David Olefeldt. 2020. \u201cLong-Term Impacts of Permafrost Thaw on Carbon Storage in Peatlands: Deep Losses Offset by Surficial Accumulation.\u201d Journal of Geophysical Research: Biogeosciences 125 (3). https://doi.org/10.1029/2019JG005501.     Hodgkins, Suzanne B., Curtis J. Richardson, Ren\u00e9 Dommain, Hongjun Wang, Paul H. Glaser, Brittany Verbeke, B. Rose Winkler, et al. 2018. \u201cTropical Peatland Carbon Storage Linked to Global Latitudinal Trends in Peat Recalcitrance.\u201d Nature Communications 9 (1): 3640. https://doi.org/10.1038/s41467-018-06050-2.     H\u00f6mberg, Annkathrin. 2014. \u201cGeochemische Charakterisierung von Mooren der Changbai Mountains.\u201d Bachelor thesis, M\u00fcnster: M\u00fcnster.     Kendall, Rachel Anne. 2020. \u201cMicrobial and Substrate Decomposition Factors in Commercially Extracted Peatlands in Canada.\u201d Master\u2019s thesis, Montr\u00e9al: McGill University.     Knierzinger, Wolfgang. 2020. \u201c(Bio)Geochemical Data P\u00fcrgschachen Moor.\u201d Pangaea.     Knierzinger, Wolfgang, Ruth Drescher-Schneider, Klaus-Holger Knorr, Simon Drollinger, Andreas Limbeck, Lukas Brunnbauer, Felix Horak, Daniela Festi, and Michael Wagreich. 2020. \u201cAnthropogenic and Climate Signals in Late-Holocene Peat Layers of an Ombrotrophic Bog in the Styrian Enns Valley (Austrian Alps).\u201d E&G Quaternary Science Journal 69 (2): 121\u201337. https://doi.org/10.5194/egqsj-69-121-2020.     Liu, Haojie, and Bernd Lennartz. 2019. \u201cHydraulic Properties of Peat Soils Along a Bulk Density Gradient-A Meta Study.\u201d Hydrological Processes 33 (1): 101\u201314. https://doi.org/10.1002/hyp.13314.     Mathijssen, Paul J. H., Mariusz Ga\u0142ka, Werner Borken, and Klaus-Holger Knorr. 2019. \u201cPlant Communities Control Long Term Carbon Accumulation and Biogeochemical Gradients in a Patagonian Bog.\u201d Science of the Total Environment 684 (September): 670\u201381. https://doi.org/10.1016/j.scitotenv.2019.05.310.     Moore, Tim, Christian Blodau, Jukka Turunen, Nigel T. Roulet, and Pierre J. H. Richard. 2005. \u201cPatterns of Nitrogen and Sulfur Accumulation and Retention in Ombrotrophic Bogs, Eastern Canada.\u201d Global Change Biology 11 (2): 356\u201367. https://doi.org/10.1111/j.1365-2486.2004.00882.x.     Moore, Tim R., Klaus-Holger Knorr, Lauren Thompson, Cameron Roy, and Jill L. Bubier. 2019. \u201cThe Effect of Long-Term Fertilization on Peat in an Ombrotrophic Bog.\u201d Geoderma 343 (June): 176\u201386. https://doi.org/10.1016/j.geoderma.2019.02.034.     M\u00fcller, Kirill, Jeroen Ooms, David James, Saikat DebRoy, Hadley Wickham, and Jeffrey Horner. 2021. \u201cRMariaDB: Database Interface and \u2019MariaDB\u2019 Driver.\u201d     M\u00fcnchberger, Wiebke. 2019. \u201cPast and Present Carbon Dynamics in Contrasting South Patagonian Bog Ecosystems.\u201d PhD thesis, M\u00fcnster: University M\u00fcnster.     M\u00fcnchberger, Wiebke, Klaus-Holger Knorr, Christian Blodau, Ver\u00f3nica A. Pancotto, and Till Kleinebecker. 2019. \u201cZero to Moderate Methane Emissions in a Densely Rooted, Pristine Patagonian Bog \u2013 Biogeochemical Controls as Revealed from Isotopic Evidence.\u201d Biogeosciences 16 (2): 541\u201359. https://doi.org/10.5194/bg-16-541-2019.     Pelletier, Nicolas, Julie Talbot, David Olefeldt, Merritt Turetsky, Christian Blodau, Oliver Sonnentag, and William L Quinton. 2017. \u201cInfluence of Holocene Permafrost Aggradation and Thaw on the Paleoecology and Carbon Storage of a Peatland Complex in Northwestern Canada.\u201d The Holocene 27 (9): 1391\u20131405. https://doi.org/10.1177/0959683617693899.     Reuter, Hendrik, Julia Gensel, Marcus Elvert, and Dominik Zak. 2019a. \u201cCuO Lignin, and Bulk Decomposition Data of a 75-Day Anoxic Phragmites Australis Litter Decomposition Experiment in Soil Substrates from Three Northeast German Wetlands.\u201d PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/PANGAEA.902176.     \u2014\u2014\u2014. 2019b. \u201cInfrared Spectra (FTIR) of Phragmites Australis Litter, Initial and After Anoxic Decomposition in Three Wetland Substrates.\u201d PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/PANGAEA.902069.     \u2014\u2014\u2014. 2020. \u201cEvidence for Preferential Protein Depolymerization in Wetland Soils in Response to External Nitrogen Availability Provided by a Novel FTIR Routine.\u201d Biogeosciences 17 (2): 499\u2013514. https://doi.org/10.5194/bg-17-499-2020.     Schieferdecker, Tobias, Kirill M\u00fcller, and Darko Bergant. 2022. \u201cdm: Relational Data Models.\u201d     Schuster, Wiebke, Klaus-Holger Knorr, Christian Blodau, Mariusz Ga\u0142ka, Werner Borken, Ver\u00f3nica A. Pancotto, and Till Kleinebecker. 2022. \u201cControl of Carbon and Nitrogen Accumulation by Vegetation in Pristine Bogs of Southern Patagonia.\u201d Science of the Total Environment 810 (March): 151293. https://doi.org/10.1016/j.scitotenv.2021.151293.     Teickner, Henning. 2025. \u201cpmird: R Interface to the Peatland Mid Infrared Spectra Database.\u201d     Teickner, Henning, Chuanyu Gao, and Klaus-Holger Knorr. 2021. \u201cReproducible Research Compendium with R Code and Data for: \u2019Electrochemical Properties of Peat Particulate Organic Matter on a Global Scale: Relation to Peat Chemistry and Degree of Decomposition\u2019.\u201d Zenodo. https://doi.org/10.5281/zenodo.5792970.     \u2014\u2014\u2014. 2022. \u201cElectrochemical Properties of Peat Particulate Organic Matter on a Global Scale: Relation to Peat Chemistry and Degree of Decomposition.\u201d Global Biogeochemical Cycles 36 (2): e2021GB007160. https://doi.org/10.1029/2021GB007160.     Turunen, Jukka, Nigel T. Roulet, Tim R. Moore, and Pierre J. H. Richard. 2004. \u201cNitrogen Deposition and Increased Carbon Accumulation in Ombrotrophic Peatlands in Eastern Canada: N Deposition and Peat Accumulation.\u201d Global Biogeochemical Cycles 18 (3). https://doi.org/10.1029/2003GB002154.     Wagner, Sindy. 2013. \u201cAnalysis of Peat Decomposition, Element Distribution Patterns and Element Output of Two Peat Bogs in the Thuringian Forest.\u201d Master\u2019s thesis, University Bayreuth.     Worrall, Fred. 2021. \u201cSulphur Constraints on the Carbon Cycle of a Blanket Bog Peatland [Dataset].\u201d Durham University. https://doi.org/10.15128/R2PK02C9794.", "keywords": ["Sphagnum", "FTIR", "mid infrared spectra", "peat", "peatland", "pmird", "database", "ATR-FTIR"], "contacts": [{"organization": "Teickner, Henning, Agethen, Svenja, Berger, Sina, Boelsen, Rieke Inga, Borken, Werner, Bragazza, Luca, Broder, Tanja, De la Cruz, Florentino, Diaconu, Andrei-Cosmin, Dise, Nancy, Drollinger, Simon, Estop-Aragon\u00e9s, Cristian, Galka, Mariusz, Mart\u00ed Gener\u00f3, Magal\u00ed, Glatzel, Stephan, Gro\u00df, Jessica, Harris, Lorna, Heffernan, Liam, Hodgkins, Suzanne, H\u00f6mberg-Grandjean, Annkathrin, Hoppe, Helga, Kleinebecker, Till, Knierzinger, Wolfgang, Liu, Haojie, Mathijssen, Paul, Mollmann, Christopher, Schuster, Wiebke, N\u00e4rtker, Lisa, Olefeldt, David, Pancotto, Veronica A., Pelletier, Nicolas, Reuter, Hendrik, Robroek, Bjorn, Svensson, Bosse, Talbot, Julie, Thompson, Lauren M., Worrall, Fred, Yu, Zhi-Guo, Knorr, Klaus-Holger,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17092587"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17092587", "name": "item", "description": "10.5281/zenodo.17092587", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17092587"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-10T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:25:24Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "3212783076", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:26:18Z", "type": "Journal Article", "created": "2021-11-08", "title": "Too Much of a Good Thing? Inorganic Nitrogen (N) Inhibits Moss-Associated N2 Fixation But Organic N Can Promote It", "description": "<title>Abstract</title>         <p>Moss-associated nitrogen (N<sub>2</sub>) fixation is one of the main inputs of new N in pristine ecosystems that receive low amounts of atmospheric N deposition. Previous studies have shown that N<sub>2</sub> fixation is inhibited by inorganic N (IN) inputs, but if N<sub>2</sub> fixation in mosses is similarly affected by organic N (ON) remains unknown. Here, we assessed N<sub>2</sub> fixation in two dominant mosses in boreal forests (<italic>Pleurozium schreberi</italic> and <italic>Sphagnum capillifolium</italic>) in response to different levels of N, simulating realistic (up to 4 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) and extreme N deposition rates in pristine ecosystems (up to 20 kg N ha<sup>\u22121</sup> yr<sup>\u22121</sup>) of IN (NH<sub>4</sub>NO<sub>3</sub>) and ON (alanine and urea). We also assessed if N<sub>2</sub> fixation can recover from the N additions. In the realistic scenario, N<sub>2</sub> fixation was inhibited by increasing NH<sub>4</sub>NO<sub>3</sub> additions in <italic>P. schreberi</italic> but not in <italic>S. capillifolium</italic>, and alanine and urea stimulated N<sub>2</sub> fixation in both moss species. In contrast, in the extreme N additions, increasing N inputs inhibited N<sub>2</sub> fixation in both moss species and all N forms. Nitrogen fixation was more sensitive to N inputs in <italic>P. schreberi</italic> than in <italic>S. capillifolium</italic> and was higher in the recovery phase after the realistic compared to the extreme N additions. These results demonstrate that N<sub>2</sub> fixation in mosses is less sensitive to organic than inorganic N inputs and highlight the importance of considering different N forms and species-specific responses when estimating the impact of N inputs on ecosystem functions such as moss-associated N<sub>2</sub> fixation.</p>", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Sphagnum", "Nitrogen fixation", "Nitrogen pollution", "Organic nitrogen", "15. Life on land", "Cyanobacteria", "Feathermosses"]}, "links": [{"href": "https://doi.org/3212783076"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3212783076", "name": "item", "description": "3212783076", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3212783076"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-08T00:00:00Z"}}, {"id": "63fcbb31c505c4a5a164d1a8bc8f9696", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:33:12Z", "type": "Dataset", "title": "Peatland vegetation: field and laboratory measurements of carbon dioxide fluxes and spectral reflectance", "description": "This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an annual Temperature, Greenness and Wetness (TGWa) model. The laboratory data includes Gross Primary Productivity (GPP) and respiration data from samples of Sphagnum capillifolium and Sphagnum papillosum which were collected from the Forsinard Flows RSPB reserve (Northern Scotland) and subjected to different rainfall simulations, including total drought, in the laboratory. Spectral reflectance of the samples was also measured throughout the experiment, and the vegetation indices calculated are recorded. The field data includes carbon fluxes and spectral reflectance measurements, in this case taken from collars located at three sites within the Forsinard Flows Reserve during the main growing season of 2017 (March to September). Associated measurements of temperature, Photosynthetically Active Radiation (PAR), and moisture content were recorded. The species composition of the collars is also given in the data. The satellite data include Land Surface Temperature (LST) and Normalised Difference Vegetation Index (NDVI) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) used to develop a TG model over the Forsinard Flows reserve, and the Glencar bog in Ireland. The dataset also includes bands used to calculate the Normalised Difference Water Index (NDWI) to develop the TGWa model. The MODIS data used in the implementation of this model to assess restoration progress, and also upscaling effectiveness, are included in the dataset. The work was carried out during a PhD project part-funded by the NERC SCENARIO DTP (Grant number: NE/L002566/1) at the University of Reading, and part-funded by The James Hutton Institute.", "keywords": ["gb", "soil", "sphagnum-capillifolium", "sphagnum-papillosum"]}, "links": [{"href": "http://data.europa.eu/88u/dataset/peatland-vegetation-field-and-laboratory-measurements-of-carbon-dioxide-fluxes-and-spectral-ref"}, {"rel": "self", "type": "application/geo+json", "title": "63fcbb31c505c4a5a164d1a8bc8f9696", "name": "item", "description": "63fcbb31c505c4a5a164d1a8bc8f9696", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/63fcbb31c505c4a5a164d1a8bc8f9696"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=sphagnum&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=sphagnum&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=sphagnum&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=sphagnum&offset=15", "hreflang": "en-US"}], "numberMatched": 15, "numberReturned": 15, "distributedFeatures": [], "timeStamp": "2026-07-26T16:57:40.687154Z"}