{"type": "FeatureCollection", "features": [{"id": "10576/21421", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:40Z", "type": "Journal Article", "created": "2021-05-06", "title": "Decreased soil moisture due to warming drives phylogenetic diversity and community transitions in the tundra", "description": "Abstract                <p>Global warming leads to drastic changes in the diversity and structure of Arctic plant communities. Studies of functional diversity within the Arctic tundra biome have improved our understanding of plant responses to warming. However, these studies still show substantial unexplained variation in diversity responses. Complementary to functional diversity, phylogenetic diversity has been useful in climate change studies, but has so far been understudied in the Arctic. Here, we use a 25 year warming experiment to disentangle community responses in Arctic plant phylogenetic \uffce\uffb2 diversity across a soil moisture gradient. We found that responses varied over the soil moisture gradient, where meadow communities with intermediate to high soil moisture had a higher magnitude of response. Warming had a negative effect on soil moisture levels in all meadow communities, however meadows with intermediate moisture levels were more sensitive. In these communities, soil moisture loss was associated with earlier snowmelt, resulting in community turnover towards a more heath-like community. This process of \uffe2\uff80\uff98heathification\uffe2\uff80\uff99 in the intermediate moisture meadows was driven by the expansion of ericoid and Betula shrubs. In contrast, under a more consistent water supply Salix shrub abundance increased in wet meadows. Due to its lower stature, palatability and decomposability, the increase in heath relative to meadow vegetation can have several large scale effects on the local food web as well as climate. Our study highlights the importance of the hydrological cycle as a driver of vegetation turnover in response to Arctic climate change. The observed patterns in phylogenetic \uffce\uffb2 diversity were often driven by contrasting responses of species of the same functional growth form, and could thus provide important complementary information. Thus, phylogenetic diversity is an important tool in disentangling tundra response to environmental change.</p", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Science", "Physics", "QC1-999", "Q", "15. Life on land", "Environmental technology. Sanitary engineering", "Environmental sciences", "long-term warming", "03 medical and health sciences", "vegetation change", "13. Climate action", "phylogenetic diversity", "GE1-350", "Arctic tundra", "soil moisture", "shrubification", "TD1-1066", "biodiversity"]}, "links": [{"href": "https://doi.org/10576/21421"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10576/21421", "name": "item", "description": "10576/21421", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10576/21421"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-24T00:00:00Z"}}, {"id": "10576/15457", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:40Z", "type": "Journal Article", "created": "2020-03-30", "title": "Decomposition rate and stabilization across six tundra vegetation types exposed to &gt;20\u00a0years of warming", "description": "Litter decomposition is an important driver of soil carbon and nutrient cycling in nutrient-limited Arctic ecosystems. However, climate change is expected to induce changes that directly or indirectly affect decomposition. We examined the direct effects of long-term warming relative to differences in soil abiotic properties associated with vegetation type on litter decomposition across six subarctic vegetation types.In six vegetation types, rooibos and green tea bags were buried for 70-75\u00a0days at 8\u00a0cm depth inside warmed (by open-top chambers) and control plots that had been in place for 20-25\u00a0years. Standardized initial decomposition rate and stabilization of the labile material fraction of tea (into less decomposable material) were calculated from tea mass losses. Soil moisture and temperature were measured bi-weekly during summer and plant-available nutrients were measured with resin probes.Initial decomposition rate was decreased by the warming treatment. Stabilization was less affected by warming and determined by vegetation type and soil moisture. Soil metal concentrations impeded both initial decomposition rate and stabilization.While a warmer Arctic climate will likely have direct effects on initial litter decomposition rates in tundra, stabilization of organic matter was more affected by vegetation type and soil parameters and less prone to be affected by direct effects of warming.", "keywords": ["Open-top chamber", "2. Zero hunger", "0106 biological sciences", "Litter quality", "Arctic Regions", "Global warming", "Climate Change", "04 agricultural and veterinary sciences", "Vegetation composition", "15. Life on land", "Milj\u00f6vetenskap", "01 natural sciences", "Soil", "Arctic", "Tea Bag Index for decomposition", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Soil chemistry", "Tundra", "Environmental Sciences", "Ecosystem"]}, "links": [{"href": "https://doi.org/10576/15457"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10576/15457", "name": "item", "description": "10576/15457", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10576/15457"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "11381/2979854", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-01T16:24:48Z", "type": "Journal Article", "created": "2022-02-18", "title": "Winters are changing: snow effects on Arctic and alpine tundra ecosystems", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p> Snow is an important driver of ecosystem processes in cold biomes. Snow accumulation determines ground temperature, light conditions, and moisture availability during winter. It also affects the growing season\u2019s start and end, and plant access to moisture and nutrients. Here, we review the current knowledge of the snow cover\u2019s role for vegetation, plant-animal interactions, permafrost conditions, microbial processes, and biogeochemical cycling. We also compare studies of natural snow gradients with snow experimental manipulation studies to assess time scale difference of these approaches. The number of tundra snow studies has increased considerably in recent years, yet we still lack a comprehensive overview of how altered snow conditions will affect these ecosystems. Specifically, we found a mismatch in the timing of snowmelt when comparing studies of natural snow gradients with snow manipulations. We found that snowmelt timing achieved by snow addition and snow removal manipulations (average 7.9\u00a0days advance and 5.5\u00a0days delay, respectively) were substantially lower than the temporal variation over natural spatial gradients within a given year (mean range 56\u00a0days) or among years (mean range 32\u00a0days). Differences between snow study approaches need to be accounted for when projecting snow dynamics and their impact on ecosystems in future climates. </p></article>", "keywords": ["snow experiment", "Ekologi", "tundra", "550", "Ecology", "ground temperatures", "Snow experiments", "review", "Review", "15. Life on land", "Climate Science", "VDP::Mathematics and natural scienses: 400", "Ground temperatures", "ground temperature", ":Matematikk og naturvitenskap: 400 [VDP]", ":Mathematics and natural scienses: 400 [VDP]", "ITEX", "13. Climate action", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "14. Life underwater", "Tundra", "VDP::Matematikk og naturvitenskap: 400", "Klimatvetenskap", "snow experiments"]}, "links": [{"href": "https://cdnsciencepub.com/doi/pdf/10.1139/as-2020-0058"}, {"href": "https://doi.org/11381/2979854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Arctic%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11381/2979854", "name": "item", "description": "11381/2979854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11381/2979854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "11381/2983453", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:48Z", "type": "Journal Article", "created": "2024-04-17", "title": "Environmental drivers of increased ecosystem respiration in a warming tundra", "description": "Abstract<p>Arctic and alpine tundra ecosystems are large reservoirs of organic carbon1,2. Climate warming may stimulate ecosystem respiration and release carbon into the atmosphere3,4. The magnitude and persistency of this stimulation and the environmental mechanisms that drive its variation remain uncertain5\uffe2\uff80\uff937. This hampers the accuracy of global land carbon\uffe2\uff80\uff93climate feedback projections7,8. Here we synthesize 136 datasets from 56 open-top chamber in situ warming experiments located at 28 arctic and alpine tundra sites which have been running for less than 1\uffe2\uff80\uff89year up to 25\uffe2\uff80\uff89years. We show that a mean rise of 1.4\uffe2\uff80\uff89\uffc2\uffb0C [confidence interval (CI) 0.9\uffe2\uff80\uff932.0\uffe2\uff80\uff89\uffc2\uffb0C] in air and 0.4\uffe2\uff80\uff89\uffc2\uffb0C [CI 0.2\uffe2\uff80\uff930.7\uffe2\uff80\uff89\uffc2\uffb0C] in soil temperature results in an increase in growing season ecosystem respiration by 30% [CI 22\uffe2\uff80\uff9338%] (n\uffe2\uff80\uff89=\uffe2\uff80\uff89136). Our findings indicate that the stimulation of ecosystem respiration was due to increases in both plant-related and microbial respiration (n\uffe2\uff80\uff89=\uffe2\uff80\uff899) and continued for at least 25\uffe2\uff80\uff89years (n\uffe2\uff80\uff89=\uffe2\uff80\uff89136). The magnitude of the warming effects on respiration was driven by variation in warming-induced changes in local soil conditions, that is, changes in total nitrogen concentration and pH and by context-dependent spatial variation in these conditions, in particular total nitrogen concentration and the carbon:nitrogen ratio. Tundra sites with stronger nitrogen limitations and sites in which warming had stimulated plant and microbial nutrient turnover seemed particularly sensitive in their respiration response to warming. The results highlight the importance of local soil conditions and warming-induced changes therein for future climatic impacts on respiration.</p", "keywords": ["0301 basic medicine", "Ecosystem respiration", "tundra", "Time Factors", "ecosystem respiration", "550", "Datasets as Topic", "Global Warming", "climate warming", "Soil", "Soil Microbiology", "0303 health sciences", "CLIMATE-CHANGE", "Arctic Regions", "Temperature", "Hydrogen-Ion Concentration", "Plants", "Settore BIOS-01/C - Botanica ambientale e applicata", "Multidisciplinary Sciences", "Biologie et autres sciences connexes", "climate change", "Science & Technology - Other Topics", "Seasons", "Warming", "DECOMPOSITION", "570", "Climatologie et m\u00e9t\u00e9orologie", "General Science & Technology", "Nitrogen", "Cell Respiration", "Article", "Carbon Cycle", "03 medical and health sciences", "TEMPERATURE SENSITIVITY", "CYCLE", "Tundra", "METAANALYSIS", "Ecosystem", "Science & Technology", "organic carbon", "COMPONENTS", "15. Life on land", "PERMAFROST CARBON", "Carbon", "Climate Science", "TERRESTRIAL ECOSYSTEMS", "Settore BIOS-05/A - Ecologia", "13. Climate action", "SOIL CARBON", "Klimatvetenskap", "RESPONSES"]}, "links": [{"href": "https://www.nature.com/articles/s41586-024-07274-7.pdf"}, {"href": "https://constellation.uqac.ca/id/eprint/9807/1/Maes_et_al_2024_Nature.pdf"}, {"href": "https://doi.org/11381/2983453"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11381/2983453", "name": "item", "description": "11381/2983453", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11381/2983453"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-17T00:00:00Z"}}, {"id": "2078.1/260550", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:20Z", "type": "Journal Article", "created": "2022-05-02", "title": "Mineral element recycling in topsoil following permafrost degradation and a vegetation shift in sub-Arctic tundra", "description": "Climate change affects the Arctic and sub-Arctic regions by exposing previously frozen permafrost to thaw, unlocking soil nutrients, changing hydrological processes, and boosting plant growth. As a result, sub-Arctic tundra is subject to a shrub expansion, called \u201cshrubification\u201d, at the expense of sedge species. Depending on the intrinsic foliar properties of these plant species, changes in foliar mineral element fluxes with shrubification in the context of permafrost degradation may influence topsoil mineral element composition. Despite the potential implications of changes in topsoil mineral element concentrations for the fate of organic carbon, this remains poorly quantified. Here, we investigate vegetation foliar and topsoil mineral element composition (Si, K, Ca, P, Mn, Zn, Cu, Mo, V) across a natural gradient of permafrost degradation at a typical sub-Arctic tundra at Eight Mile Lake (Alaska, USA). Results show that foliar mineral element concentrations are higher (up to 9 times; Si, K, Mo for all species, and for some species Zn) or lower (up to 2 times; Ca, P, Mn, Cu, V for all species, and for some species Zn) in sedge than in shrub species. As a result, a vegetation shift over ~40 years has resulted in lower topsoil concentrations in Si, K, Zn, and Mo (respectively of 52, 24, 20, and 51%) in highly degraded permafrost sites compared to poorly degraded permafrost sites due to lower foliar fluxes of these elements. For other elements (Ca, P, Mn, Cu, and V), the vegetation shift has not induced a marked change in topsoil concentrations at this current stage of permafrost degradation. A modeled amplified shrubification associated with a further permafrost degradation is expected to increase foliar Ca, P, Mn, Cu, and V fluxes, which will likely change these element concentrations in topsoil. These data can serve as a first estimate to assess the influence of other shifts in vegetation in Arctic and sub-Arctic tundra such as sedge expansion under wetter soil conditions.", "keywords": ["topsoil", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "mineral elements", "04 agricultural and veterinary sciences", "sub-Arctic tundra", "15. Life on land", "01 natural sciences", "vegetation change", "13. Climate action", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "0401 agriculture", " forestry", " and fisheries", "shrubification", "permafrost degradation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2078.1/260550"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2078.1/260550", "name": "item", "description": "2078.1/260550", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2078.1/260550"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "2804595293", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:38Z", "type": "Journal Article", "created": "2018-05-26", "title": "Biotic responses buffer warming\u2010induced soil organic carbon loss in Arctic tundra", "description": "Abstract<p>Climate warming can result in both abiotic (e.g., permafrost thaw) and biotic (e.g., microbial functional genes) changes in Arctic tundra. Recent research has incorporated dynamic permafrost thaw in Earth system models (ESMs) and indicates that Arctic tundra could be a significant future carbon (C) source due to the enhanced decomposition of thawed deep soil C. However, warming\uffe2\uff80\uff90induced biotic changes may influence biologically related parameters and the consequent projections inESMs. How model parameters associated with biotic responses will change under warming and to what extent these changes affect projected C budgets have not been carefully examined. In this study, we synthesized six data sets over 5\uffc2\uffa0years from a soil warming experiment at the Eight Mile Lake, Alaska, into the TerrestrialECOsystem (TECO) model with a probabilistic inversion approach. TheTECOmodel used multiple soil layers to track dynamics of thawed soil under different treatments. Our results show that warming increased light use efficiency of vegetation photosynthesis but decreased baseline (i.e., environment\uffe2\uff80\uff90corrected) turnover rates ofSOCin both the fast and slow pools in comparison with those under control. Moreover, the parameter changes generally amplified over time, suggesting processes of gradual physiological acclimation and functional gene shifts of both plants and microbes. TheTECOmodel predicted that field warming from 2009 to 2013 resulted in cumulative C losses of 224 or 87\uffc2\uffa0g/m2, respectively, without or with changes in those parameters. Thus, warming\uffe2\uff80\uff90induced parameter changes reduced predicted soil C loss by 61%. Our study suggests that it is critical to incorporate biotic changes inESMs to improve the model performance in predicting C dynamics in permafrost regions.</p", "keywords": ["550", "Climate Change", "Permafrost", "acclimation", "carbon modeling", "01 natural sciences", "climate warming", "Soil", "Theoretical", "Models", "soil carbon", "Photosynthesis", "biotic responses", "data assimilation", "Tundra", "Soil Microbiology", "0105 earth and related environmental sciences", "Ecology", "500", "Biological Sciences", "Models", " Theoretical", "Plants", "15. Life on land", "Carbon", "Climate Action", "Environmental sciences", "Biological sciences", "Earth sciences", "13. Climate action", "Environmental Sciences", "Alaska", "permafrost"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14325"}, {"href": "https://doi.org/2804595293"}, {"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": "2804595293", "name": "item", "description": "2804595293", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2804595293"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-12T00:00:00Z"}}, {"id": "29802797", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:45Z", "type": "Journal Article", "created": "2018-05-26", "title": "Biotic responses buffer warming\u2010induced soil organic carbon loss in Arctic tundra", "description": "Abstract<p>Climate warming can result in both abiotic (e.g., permafrost thaw) and biotic (e.g., microbial functional genes) changes in Arctic tundra. Recent research has incorporated dynamic permafrost thaw in Earth system models (ESMs) and indicates that Arctic tundra could be a significant future carbon (C) source due to the enhanced decomposition of thawed deep soil C. However, warming\uffe2\uff80\uff90induced biotic changes may influence biologically related parameters and the consequent projections inESMs. How model parameters associated with biotic responses will change under warming and to what extent these changes affect projected C budgets have not been carefully examined. In this study, we synthesized six data sets over 5\uffc2\uffa0years from a soil warming experiment at the Eight Mile Lake, Alaska, into the TerrestrialECOsystem (TECO) model with a probabilistic inversion approach. TheTECOmodel used multiple soil layers to track dynamics of thawed soil under different treatments. Our results show that warming increased light use efficiency of vegetation photosynthesis but decreased baseline (i.e., environment\uffe2\uff80\uff90corrected) turnover rates ofSOCin both the fast and slow pools in comparison with those under control. Moreover, the parameter changes generally amplified over time, suggesting processes of gradual physiological acclimation and functional gene shifts of both plants and microbes. TheTECOmodel predicted that field warming from 2009 to 2013 resulted in cumulative C losses of 224 or 87\uffc2\uffa0g/m2, respectively, without or with changes in those parameters. Thus, warming\uffe2\uff80\uff90induced parameter changes reduced predicted soil C loss by 61%. Our study suggests that it is critical to incorporate biotic changes inESMs to improve the model performance in predicting C dynamics in permafrost regions.</p", "keywords": ["550", "Climate Change", "Permafrost", "acclimation", "carbon modeling", "01 natural sciences", "climate warming", "Soil", "Theoretical", "Models", "soil carbon", "Photosynthesis", "biotic responses", "data assimilation", "Tundra", "Soil Microbiology", "0105 earth and related environmental sciences", "Ecology", "500", "Biological Sciences", "Models", " Theoretical", "Plants", "15. Life on land", "Carbon", "Climate Action", "Environmental sciences", "Biological sciences", "Earth sciences", "13. Climate action", "Environmental Sciences", "Alaska", "permafrost"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14325"}, {"href": "https://doi.org/29802797"}, {"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": "29802797", "name": "item", "description": "29802797", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/29802797"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-12T00:00:00Z"}}, {"id": "34028938", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:26:13Z", "type": "Journal Article", "created": "2021-05-24", "title": "Reindeer control over subarctic treeline alters soil fungal communities with potential consequences for soil carbon storage", "description": "Abstract<p>The climate\uffe2\uff80\uff90driven encroachment of shrubs into the Arctic is accompanied by shifts in soil fungal communities that could contribute to a net release of carbon from tundra soils. At the same time, arctic grazers are known to prevent the establishment of deciduous shrubs and, under certain conditions, promote the dominance of evergreen shrubs. As these different vegetation types associate with contrasting fungal communities, the belowground consequences of climate change could vary among grazing regimes. Yet, at present, the impact of grazing on soil fungal communities and their links to soil carbon have remained speculative. Here we tested how soil fungal community composition, diversity and function depend on tree vicinity and long\uffe2\uff80\uff90term reindeer grazing regime and assessed how the fungal communities relate to organic soil carbon stocks in an alpine treeline ecotone in Northern Scandinavia. We determined soil carbon stocks and characterized soil fungal communities directly underneath and &gt;3\uffc2\uffa0m away from mountain birches (Betula pubescens ssp. czerepanovii) in two adjacent 55\uffe2\uff80\uff90year\uffe2\uff80\uff90old grazing regimes with or without summer grazing by reindeer (Rangifer tarandus). We show that the area exposed to year\uffe2\uff80\uff90round grazing dominated by evergreen dwarf shrubs had higher soil C:N ratio, higher fungal abundance and lower fungal diversity compared with the area with only winter grazing and higher abundance of mountain birch. Although soil carbon stocks did not differ between the grazing regimes, stocks were positively associated with root\uffe2\uff80\uff90associated ascomycetes, typical to the year\uffe2\uff80\uff90round grazing regime, and negatively associated with free\uffe2\uff80\uff90living saprotrophs, typical to the winter grazing regime. These findings suggest that when grazers promote dominance of evergreen dwarf shrubs, they induce shifts in soil fungal communities that increase soil carbon sequestration in the long term. Thus, to predict climate\uffe2\uff80\uff90driven changes in soil carbon, grazer\uffe2\uff80\uff90induced shifts in vegetation and soil fungal communities need to be accounted for.</p", "keywords": ["Betula pubescens ssp. czerepanovii", "Ekologi", "0106 biological sciences", "Ecology", "ITS2", "15. Life on land", "tree-line", "01 natural sciences", "Rangifer tarandus", "Carbon", "Soil", "Arctic shrubification", "13. Climate action", "Animals", "grazing", "fungal community", "subarctic tundra", "Tundra", "Mycobiome", "Reindeer"]}, "links": [{"href": "https://pub.epsilon.slu.se/24997/1/ylanne_h_et_al_210824.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15722"}, {"href": "https://doi.org/34028938"}, {"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": "34028938", "name": "item", "description": "34028938", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34028938"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-14T00:00:00Z"}}, {"id": "PMC9314937", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:28:10Z", "type": "Journal Article", "created": "2022-03-14", "title": "Reduced methane emissions in former permafrost soils driven by vegetation and microbial changes following drainage", "description": "Abstract<p>In Arctic regions, thawing permafrost soils are projected to release 50 to 250 Gt of carbon by 2100. This data is mostly derived from carbon\uffe2\uff80\uff90rich wetlands, although 71% of this carbon pool is stored in faster\uffe2\uff80\uff90thawing mineral soils, where ecosystems close to the outer boundaries of permafrost regions are especially vulnerable. Although extensive data exists from currently thawing sites and short\uffe2\uff80\uff90term thawing experiments, investigations of the long\uffe2\uff80\uff90term changes following final thaw and co\uffe2\uff80\uff90occurring drainage are scarce. Here we show ecosystem changes at two comparable tussock tundra sites with distinct permafrost thaw histories, representing 15 and 25\uffc2\uffa0years of natural drainage, that resulted in a 10\uffe2\uff80\uff90fold decrease in CH4 emissions (3.2\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.2 vs. 0.3\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.4\uffc2\uffa0mg C\uffe2\uff80\uff90CH4\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0day\uffe2\uff88\uff921), while CO2 emissions were comparable. These data extend the time perspective from earlier studies based on short\uffe2\uff80\uff90term experimental drainage. The overall microbial community structures did not differ significantly between sites, although the drier top soils at the most advanced site led to a loss of methanogens and their syntrophic partners in surface layers while the abundance of methanotrophs remained unchanged. The resulting deeper aeration zones likely increased CH4 oxidation due to the longer residence time of CH4 in the oxidation zone, while the observed loss of aerenchyma plants reduced CH4 diffusion from deeper soil layers directly to the atmosphere. Our findings highlight the importance of including hydrological, vegetation and microbial specific responses when studying long\uffe2\uff80\uff90term effects of climate change on CH4 emissions and underscores the need for data from different soil types and thaw histories.</p", "keywords": ["[SDE] Environmental Sciences", "Tundra ecosystems", "post-permafrost soil", "550", "Arctic Regions", "methane", "Microbiota", "Permafrost", "15. Life on land", "01 natural sciences", "Carbon", "Soil", "Arctic", "climate change", "13. Climate action", "[SDE]Environmental Sciences", "Methane", "Research Articles", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/PMC9314937"}, {"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": "PMC9314937", "name": "item", "description": "PMC9314937", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9314937"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-14T00:00:00Z"}}, {"id": "6e7860b6798ab725789ac483d3d80b18", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:27:05Z", "type": "Journal Article", "title": "Winters are changing: snow effects on Arctic and alpine tundra ecosystems1", "description": "Snow is an important driver of ecosystem processes in cold biomes. Snow accumulation determines ground temperature, light conditions, and moisture availability during winter. It also affects the growing season\u2019s start and end, and plant access to moisture and nutrients. Here, we review the current knowledge of the snow cover\u2019s role for vegetation, plant-animal interactions, permafrost conditions, microbial processes, and biogeochemical cycling. We also compare studies of natural snow gradients with snow experimental manipulation studies to assess time scale difference of these approaches. The number of tundra snow studies has increased considerably in recent years, yet we still lack a comprehensive overview of how altered snow conditions will affect these ecosystems. Specifically, we found a mismatch in the timing of snowmelt when comparing studies of natural snow gradients with snow manipulations. We found that snowmelt timing achieved by snow addition and snow removal manipulations (average 7.9\u00a0days advance and 5.5\u00a0days delay, respectively) were substantially lower than the temporal variation over natural spatial gradients within a given year (mean range 56\u00a0days) or among years (mean range 32\u00a0days). Differences between snow study approaches need to be accounted for when projecting snow dynamics and their impact on ecosystems in future climates.", "keywords": ["Environmental sciences", "tundra", "ground temperatures", "ITEX", "synth\u00e8se", "13. Climate action", "review", "Environmental engineering", "GE1-350", "15. Life on land", "TA170-171", "snow experiments"], "contacts": [{"organization": "Rixen, Christian, H\u00f8ye, Toke Thomas, Macek, Petr, Aerts, Rien, Alatalo, Juha M, Anderson, Jill T, Arnold, Pieter A, Barrio, Isabel C, Bjerke, Jarle W, Bj\u00f6rkman, Mats P, Blok, Daan, Blume-Werry, Gesche, Boike, Julia, Bokhorst, Stef, Carbognani, Michele, Christiansen, Casper T, Convey, Peter, Cooper, Elisabeth J, Cornelissen, J Hans C, Coulson, Stephen J, Dorrepaal, Ellen, Elberling, Bo, Elmendorf, Sarah C, Elphinstone, Cassandra, Forte, T\u2019ai GW, Frei, Esther R, Geange, Sonya R, Gehrmann, Friederike, Gibson, Casey, Grogan, Paul, Halbritter, Aud Helen, Harte, John, Henry, Gregory HR, Inouye, David W, Irwin, Rebecca E, Jespersen, Gus, J\u00f3nsd\u00f3ttir, Ingibj\u00f6rg Svala, Jung, Ji Young, Klinges, David H, Kudo, Gaku, L\u00e4ms\u00e4, Juho, Lee, Hanna, Lembrechts, Jonas J, Lett, Signe, Lynn, Joshua Scott, Mann, Hjalte MR, Mastepanov, Mikhail, Morse, Jennifer, Myers-Smith, Isla H, Olofsson, Johan, Paavola, Riku, Petraglia, Alessandro, Phoenix, Gareth K, Semenchuk, Philipp, Siewert, Matthias B, Slatyer, Rachel, Spasojevic, Marko J, Suding, Katharine, Sullivan, Patrick, Thompson, Kimberly L, V\u00e4is\u00e4nen, Maria, Vandvik, Vigdis, Venn, Susanna, Walz, Josefine, Way, Robert, Welker, Jeffrey M, Wipf, Sonja, Zong, Shengwei,", "roles": ["creator"]}]}, "links": [{"href": "https://escholarship.org/content/qt4h62q9v9/qt4h62q9v9.pdf"}, {"href": "https://doi.org/6e7860b6798ab725789ac483d3d80b18"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Arctic%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "6e7860b6798ab725789ac483d3d80b18", "name": "item", "description": "6e7860b6798ab725789ac483d3d80b18", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6e7860b6798ab725789ac483d3d80b18"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "ce3e4bf4-e929-404a-88c7-37f2c614fd1d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-29.0, 28.0], [-29.0, 82.0], [58.0, 82.0], [58.0, 28.0], [-29.0, 28.0]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "United Kingdom"}, {"id": "EEA38 (from 2020)"}, {"id": "Russian Federation (European part)"}, {"id": "Belarus"}, {"id": "Moldova"}, {"id": "Ukraine"}, {"id": "Georgia"}, {"id": "San Marino"}, {"id": "Monaco"}, {"id": "Andorra"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "2021 1.1.4"}], "scheme": "EEA Management Plan"}, {"concepts": [{"id": "Biodiversity"}], "scheme": "EEA topics"}, {"concepts": [{"id": "habitat"}, {"id": "terrestrial ecosystem"}, {"id": "natural area"}, {"id": "coastal ecosystem"}, {"id": "forest biodiversity"}, {"id": "woodland ecosystem"}, {"id": "forest"}, {"id": "grassland"}, {"id": "lichen"}, {"id": "moss"}, {"id": "tundra"}, {"id": "heathland"}, {"id": "salt marsh"}], "scheme": "GEMET"}, {"concepts": [{"id": "Habitats and biotopes"}], "scheme": "GEMET - 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "tundra"}, {"id": "modelling"}, {"id": "terrestrial ecosystem"}, {"id": "natural area"}, {"id": "habitat"}, {"id": "heathland"}], "scheme": "GEMET"}, {"concepts": [{"id": "United Kingdom"}, {"id": "EEA38 (from 2020)"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Biodiversity"}], "scheme": "EEA topics"}, {"concepts": [{"id": "2021 1.1.4"}], "scheme": "EEA Management Plan"}], "updated": "2025-10-09T10:37:59.390755Z", "type": "Dataset", "created": "2019-03-01", "language": "eng", "title": "EUNIS heathland, scrub and tundra habitat type, predicted distribution of habitat suitability - version 1, Nov. 2021", "description": "This metadata corresponds to the EUNIS heathland, scrub and tundra habitat types, predicted distribution of habitat suitability dataset. \n\nThese habitat types correspond to non-coastal land which is dry or only seasonally inundated (with the water table at or above ground level for less than half of the year) with greater than 30% vegetation cover. Tundra is characterised by the presence of permafrost. Heathland and scrub are defined as vegetation dominated by shrubs or dwarf shrubs of species that typically do not exceed 5 m maximum height. Includes shrub orchards, vineyards, hedges (which may have occasional tall trees). Also includes stands of climatically-limited dwarf trees (krummholz) < 3 m high, such as occur in extreme alpine conditions. Includes Salix and Frangula carrs. Excludes coppice (T47) and Alnus and Populus swamp forest (T15).\n\nThe modelled suitability for EUNIS heathland, scrub and tundra habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitabilty modelling not only Climate and Soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables like Landuse, Vegetation height, Phenology, and LAI (Leave Area Index). Because the EBV's are restricted by the extent of the Remote Sensing data (EEA38 countries and the United Kingdom) the modelling result does also not go beyond this boundary. The dataset is provided both in Geodatabase and Geopackage formats.", "formats": [{"name": "GDB"}, {"name": "EEA:FOLDERPATH"}, {"name": "WWW:URL"}, {"name": "ESRI:REST"}, {"name": "OGC:WMS"}, {"name": "DOI"}], "keywords": ["Habitats and biotopes", "tundra", "modelling", "terrestrial ecosystem", "natural area", "habitat", "heathland", "United Kingdom", "EEA38 (from 2020)", "European", "Biodiversity", "2021 1.1.4"], "contacts": [{"name": null, "organization": "European Environment Agency", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "sdi@eea.europa.eu"}], "addresses": [{"deliveryPoint": ["Kongens Nytorv 6"], "city": "Copenhagen", "administrativeArea": "K", "postalCode": "1050", "country": "Denmark"}], "links": [{"href": {"url": "http://www.eea.europa.eu", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "European Environment Agency public website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"name": null, "organization": "European Environment Agency", "position": "Environmental data centre for biodiversity", "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "sdi@eea.europa.eu"}], "addresses": [{"deliveryPoint": ["Kongens Nytorv 6"], "city": "Copenhagen", "administrativeArea": "K", "postalCode": "1050", "country": "Denmark"}], "links": [{"href": null}]}], "distancevalue": "1", "distanceuom": "km", "edition": "01.00"}, "links": [{"href": "https://sdi.eea.europa.eu/webdav/datastore/public/eea_r_3035_1_km_eunis-hab-s_p_1940-2017_v01_r00/", "protocol": "EEA:FOLDERPATH", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/156377d3-14ee-42f9-855e-71d8c710d441", "name": "Direct download", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/EUNIS/Mosaic_Heathlands/ImageServer", "name": "Suitability Layer", "protocol": "ESRI:REST", "rel": null}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/services/EUNIS/Mosaic_Heathlands/ImageServer/WMSServer?request=GetCapabilities&service=WMS", "protocol": "OGC:WMS", "rel": null}, {"href": "https://sdi.eea.europa.eu/data/f5946d76-bf09-4261-8f2e-6218210ae3af?path=%2FEUNIS%20habitat%20classification%20revision%20documentation", "name": "EUNIS documentation for habitat classification", "protocol": "WWW:URL", "rel": null}, {"href": "https://doi.org/10.2909/156377d3-14ee-42f9-855e-71d8c710d441", "protocol": "DOI", "rel": null}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/156377d3-14ee-42f9-855e-71d8c710d441.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "156377d3-14ee-42f9-855e-71d8c710d441", "name": "item", "description": "156377d3-14ee-42f9-855e-71d8c710d441", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/156377d3-14ee-42f9-855e-71d8c710d441"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1940-01-01T00:00:00Z", "2017-12-31T00:00:00Z"]}}, {"id": "oai:doaj.org/article:3581b70ff4f9470eb08d15c65a09f42a", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:33:04Z", "type": "Journal Article", "title": "Winters are changing: snow effects on Arctic and alpine tundra ecosystems1", "description": "Snow is an important driver of ecosystem processes in cold biomes. Snow accumulation determines ground temperature, light conditions, and moisture availability during winter. It also affects the growing season\u2019s start and end, and plant access to moisture and nutrients. Here, we review the current knowledge of the snow cover\u2019s role for vegetation, plant-animal interactions, permafrost conditions, microbial processes, and biogeochemical cycling. We also compare studies of natural snow gradients with snow experimental manipulation studies to assess time scale difference of these approaches. The number of tundra snow studies has increased considerably in recent years, yet we still lack a comprehensive overview of how altered snow conditions will affect these ecosystems. Specifically, we found a mismatch in the timing of snowmelt when comparing studies of natural snow gradients with snow manipulations. We found that snowmelt timing achieved by snow addition and snow removal manipulations (average 7.9\u00a0days advance and 5.5\u00a0days delay, respectively) were substantially lower than the temporal variation over natural spatial gradients within a given year (mean range 56\u00a0days) or among years (mean range 32\u00a0days). Differences between snow study approaches need to be accounted for when projecting snow dynamics and their impact on ecosystems in future climates.", "keywords": ["Environmental sciences", "tundra", "ground temperatures", "ITEX", "synth\u00e8se", "13. Climate action", "review", "Environmental engineering", "GE1-350", "15. 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