{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2006.05.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:32Z", "type": "Journal Article", "created": "2006-06-13", "title": "Effects Of Grazing Intensity And Prescribed Fire On Soil Physical And Hydrological Properties And Pasture Yield In The Savanna Woodlands Of Burkina Faso", "description": "In West Africa policies for prescribed early fire and livestock grazing in the savanna woodlands are rarely based on long-term experimental studies. The inherently different management characteristics and their effects on the vegetation dynamics make landscape degradation a contentious issue. The effects of grazing intensity were investigated by a comparison of non-grazed areas, lightly grazed areas, moderately grazed areas, heavily grazed areas and very heavily grazed areas that received one of two fire treatments: early burning and fire protection in a long-term 12-year study. The parameters assessed reflected changes in herbaceous plant cover, biomass as well as soil physical and hydrological properties. The main findings were by and large specific for the grazing level. This supports the argument for devolution of management responsibility to the local level where there is indigenous site-specific knowledge but at the same time insufficient management capacity. A comparison of composite soil samples taken at a depth of 0-10 cm did not differentiate significantly between treatments. This is probably because the composite soil sampling procedure hid the properties of the top first few centimeters. Grazing pressure had a tendency to reduce total above ground biomass (p = 0.081). This was related to increased biomass removal and the trampling pressure (static load) exerted by the animals. The infiltration measurements indicated that the deleterious impact of cattle trampling increased as stocking rate increased. Livestock grazing significantly (p = 0.038) lowered the infiltrability. Prescribed early fire had a tendency (p = 0.073) to reduce the soil water infiltration rate. The subplots subjected to prescribed burning had a lower steady state infiltration rate compared to unburnt areas (means of 49.2 \u00b1 27.5 mm h-1 versus 78 \u00b1 70.5 mm h-1 for burnt and unburnt subplots, respectively). A partial least squares projection to latent structures showed that 34% of the steady state infiltrability was explained by the stocking rate and soil organic matter. Also all soil characteristics were significantly connected to steady state infiltrability suggesting that they are related to the soil hydrological response to trampling. From a management perspective, adoption of a short duration grazing system should avoid high stocking rates because they may adversely affect soil infiltrability, increase susceptibility to erosion in the savannas and decrease biomass productivity.", "keywords": ["soil compaction", "2. Zero hunger", "vegetation", "13. Climate action", "trampling", "0401 agriculture", " forestry", " and fisheries", "grazing", "04 agricultural and veterinary sciences", "15. Life on land", "infiltration", "pastures", "woodlands", "savannas"], "contacts": [{"organization": "Savadogo, P., Sawadogo, L., Tiveau, D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2006.05.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2006.05.002", "name": "item", "description": "10.1016/j.agee.2006.05.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2006.05.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.1007/s11104-016-3073-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:13Z", "type": "Journal Article", "created": "2016-10-10", "title": "Response Of Soil Microbial Community To Afforestation With Pure And Mixed Species", "description": "\u00a9 2016, Springer International Publishing Switzerland.Objectives: Afforestation changes soil chemical properties over several decades. In contrast, microbial community structure can be shifted within the first decade and so, the direct effects of tree species can be revealed. The aim of this study was to determine the alteration of soil microbial community composition 10\u00a0years after afforestation by trees with contrasting functional traits. Methods: The study was conducted at the BangorDIVERSE temperate forest experiment. Soil samples were collected under single, two and three species mixtures of alder and birch, beech and oak - early and secondary successional species, respectively, and contiguous agricultural field. Soil was analysed for total carbon (C) and nitrogen (N) contents, and microbial community structure (phospholipid fatty acids (PLFAs) analysis). Results and conclusions: The total PLFAs content (370\u2013640\u00a0nmol\u00a0g\u22121soil) in forest plots increased for 30 to 110\u00a0% compared to the agricultural soil (290\u00a0nmol\u00a0g\u22121soil). In contrast, soil C, N and C/N ratios were altered over 10\u00a0years much less - increased only up to 20\u00a0% or even decreased (for beech forest). Afforestation increased bacterial PLFAs by 20\u2013120\u00a0%, whereas it had stronger impact on the development of fungal communities (increased by 50\u2013200\u00a0%). These effects were proved for all forests, but were more pronounced under the monocultures compared to mixtures. This indicates that species identity has a stronger effect than species diversity. Principal component analysis of PLFAs revealed that under mono and three species mixtures similar microbial communities were formed. In contrast, gram-positive PLFAs and actinomycete PLFAs contributed mainly to differentiation of two species mixtures from other forests. Thus, at the early afforestation stage: i) soil biological properties are altered more than chemical, and ii) tree species identity affects more than species amount on both processes.", "keywords": ["2. Zero hunger", "570", "Microbial biomarkers", "Plant microbial interactions", "Soil solution", "Tree identity", "0401 agriculture", " forestry", " and fisheries", "Woodland", "04 agricultural and veterinary sciences", "15. Life on land", "Land use change", "Ammonium and nitrate", "Forest composition"]}, "links": [{"href": "https://doi.org/10.1007/s11104-016-3073-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-016-3073-0", "name": "item", "description": "10.1007/s11104-016-3073-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-016-3073-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-10T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2016.03.243", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:06Z", "type": "Journal Article", "created": "2016-05-02", "title": "Fire-Induced Pine Woodland To Shrubland Transitions In Southern Europe May Promote Shifts In Soil Fertility", "description": "Since the mid of the last century, fire recurrence has increased in the Iberian Peninsula and in the overall Mediterranean basin due to changes in land use and climate. The warmer and drier climate projected for this region will further increase the risk of wildfire occurrence and recurrence. Although the impact of wildfires on soil nutrient content in this region has been extensively studied, still few works have assessed this impact on the basis of fire recurrence. This study assesses the changes in soil organic C and nutrient status of mineral soils in two Southern European areas, V\u00e1rzea (Northern Portugal) and Valencia (Eastern Spain), affected by different levels of fire recurrence and where short fire intervals have promoted a transition from pine woodlands to shrublands. At the short-term (<1year), the amount of soil organic matter was higher in burned than in unburned soils while its quality (represented as labile to total organic matter) was actually lower. In any case, total and labile soil organic matter showed decreasing trends with increasing fire recurrence (one to four fires). At the long-term (>5years), a decline in overall soil fertility with fire recurrence was also observed, with a drop between pine woodlands (one fire) and shrublands (two and three fires), particularly in the soil microsites between shrubs. Our results suggest that the current trend of increasing fire recurrence in Southern Europe may result in losses or alterations of soil organic matter, particularly when fire promotes a transition from pine woodland to shrubland. The results also point to labile organic matter fractions in the intershrub spaces as potential early warning indicators for shifts in soil fertility in response to fire recurrence.", "keywords": ["2. Zero hunger", "550", "Microsite", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Early warning indicators", "Soil quality", "13. Climate action", "Fire frequency", "Sudden shift", "0401 agriculture", " forestry", " and fisheries", "Mediterranean region", "Mineral soil", "Pinus spp. woodlands", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2016.03.243"}, {"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": "10.1016/j.scitotenv.2016.03.243", "name": "item", "description": "10.1016/j.scitotenv.2016.03.243", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2016.03.243"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-01T00:00:00Z"}}, {"id": "10.1111/gcb.70430", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:24Z", "type": "Journal Article", "created": "2025-08-19", "title": "Forest Topsoil Organic Carbon Declines Under Ash Dieback", "description": "ABSTRACT

Tree diseases are increasingly affecting woodland ecosystems across the world. However, the impact of these diseases upon the soil, and in particular soil carbon, is still poorly understood. Here we present the results of a field survey of ~100 woodlands across Great Britain measured in 1971, 2001 and 2022 and evaluate the fifty\uffe2\uff80\uff90year trend in topsoil (0\uffe2\uff80\uff9315\uffe2\uff80\uff89cm) carbon based upon measurements of soil organic matter (SOM) and the impact of Hymenoscyphus fraxineus (ash dieback). To better represent the full SOM distribution, including the extremely high SOM measurements, we adopt a Beta mixture modelling approach within a Bayesian framework. Across all woodlands, comprising ~1,500 plots per survey, average SOM remained constant across the fifty\uffe2\uff80\uff90year time series. However, the 311 plots with ash dieback had lower SOM in the most recent survey compared to the 328 plots with ash trees present but no dieback recorded, due to a slight decline in SOM under ash dieback. This resulted in plots with ash dieback having a modelled mean SOM of 12.2% compared to 13.4% in plots without ash dieback, a difference of 1.23 percentage points (95% CI 0.25\uffe2\uff80\uff932.21). Ash dieback was more likely to be recorded in plots that had higher soil pH pre\uffe2\uff80\uff90ash dieback invasion, but the decline in SOM under ash dieback was not explained by changes in soil pH or changes in the ground flora composition. Converting our results to soil C and extrapolating for broadleaved woodland across the entirety of Great Britain, the total amount of topsoil carbon lost to date due to ash dieback could be 6 MtCO2 (\uffc2\uffb1\uffe2\uff80\uff894\uffe2\uff80\uff89s.d.). Our results show the importance of understanding the impacts of tree disease when considering current and future woodland carbon dynamics.

Rising atmospheric carbon dioxide (CO2) could alter the carbon (C) and nitrogen (N) content of ecosystems, yet the magnitude of these effects are not well known. We examined C and N budgets of a subtropical woodland after 11\uffc2\uffa0yr of exposure to elevated CO2.

We used open\uffe2\uff80\uff90top chambers to manipulate CO2 during regrowth after fire, and measured C, N and tracer 15N in ecosystem components throughout the experiment.

Elevated CO2 increased plant C and tended to increase plant N but did not significantly increase whole\uffe2\uff80\uff90system C or N. Elevated CO2 increased soil microbial activity and labile soil C, but more slowly cycling soil C pools tended to decline. Recovery of a long\uffe2\uff80\uff90term 15N tracer indicated that CO2 exposure increased N losses and altered N distribution, with no effect on N inputs.

Increased plant C accrual was accompanied by higher soil microbial activity and increased C losses from soil, yielding no statistically detectable effect of elevated CO2 on net ecosystem C uptake. These findings challenge the treatment of terrestrial ecosystems responses to elevated CO2 in current biogeochemical models, where the effect of elevated CO2 on ecosystem C balance is described as enhanced photosynthesis and plant growth with decomposition as a first\uffe2\uff80\uff90order response.

", "keywords": ["Soil organic matter", "Long term experiment", "Elevated atmospheric CO2", "Florida scrub oak", "Scrub oak", "Research", "Plant Sciences", "Aboveground biomass", "Plant Biology", "Microbial communities", "04 agricultural and veterinary sciences", "Carbon Cycling", "15. Life on land", "Forest productivity", "Soil carbon", "Rhizosphere processes", "Terrestrial ecosystems", "Dioxide enrichment", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Elevated CO2", "Climate feedbacks", "Global change", "Subtropical woodland", "Nitrogen cycling"]}, "links": [{"href": "https://digitalcommons.odu.edu/context/biology_fac_pubs/article/1264/viewcontent/Day2013CumulativeResponseofEcosystemCarbonandNitrogenOCR.pdf"}, {"href": "https://doi.org/10.1111/nph.12333"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.12333", "name": "item", "description": "10.1111/nph.12333", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.12333"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-30T00:00:00Z"}}, {"id": "10.1111/nph.12409", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:47Z", "type": "Journal Article", "created": "2013-07-22", "title": "Fire, Hurricane And Carbon Dioxide: Effects On Net Primary Production Of A Subtropical Woodland", "description": "Summary

Disturbance affects most terrestrial ecosystems and has the potential to shape their responses to chronic environmental change.

Scrub\uffe2\uff80\uff90oak vegetation regenerating from fire disturbance in subtropical Florida was exposed to experimentally elevated carbon dioxide (CO2) concentration (+350\uffc2\uffa0\uffce\uffbcl\uffc2\uffa0l\uffe2\uff88\uff921) using open\uffe2\uff80\uff90top chambers for 11\uffc2\uffa0yr, punctuated by hurricane disturbance in year 8. Here, we report the effects of elevated CO2 on aboveground and belowground net primary productivity (NPP) and nitrogen (N) cycling during this experiment.

The stimulation of NPP and N uptake by elevated CO2 peaked within 2\uffc2\uffa0yr after disturbance by fire and hurricane, when soil nutrient availability was high. The stimulation subsequently declined and disappeared, coincident with low soil nutrient availability and with a CO2\uffe2\uff80\uff90induced reduction in the N concentration of oak stems.

These findings show that strong growth responses to elevated CO2 can be transient, are consistent with a progressively limited response to elevated CO2 interrupted by disturbance, and illustrate the importance of biogeochemical responses to extreme events in modulating ecosystem responses to global environmental change.

", "keywords": ["0106 biological sciences", "NITROGEN-USE EFFICIENCY", "Scrub oak ecosystem", "01 natural sciences", "Trees", "Quercus", "Soil", "nitrogen cycling", "oak woodland", "ECOSYSTEMS", "Global environmental change", "Biomass", "ROOT BIOMASS", "disturbance", "Florida scrub", "elevated CO2", "Elevated atmospheric CO2", "Plant Stems", "Cyclonic Storms", "Aboveground biomass", "FOREST PRODUCTIVITY", "Hurricane", "04 agricultural and veterinary sciences", "Nitrogen Cycle", "Fire", "Soil carbon", "LONG-TERM EXPOSURE", "Net primary productivity", "Long term exposure", "Florida", "Elevated CO2", "fire", "FLORIDA SCRUB", "ABOVEGROUND BIOMASS", "Nitrogen cycling", "TERRESTRIAL", "Oak woodland", "ELEVATED ATMOSPHERIC CO2", "Elevated CO 2", "Nitrogen", "hurricane", "Forest productivity", "Fires", "Terrestrial ecosystems", "SCRUB-OAK ECOSYSTEM", "Net primary productivity (NPP)", "Ecosystem", "Nitrogen use efficiency", "Atmosphere", "net primary productivity (NPP)", "Root biomass", "Plant Sciences", "global environmental change", "Disturbance", "Carbon Dioxide", "15. Life on land", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SOIL CARBON"]}, "links": [{"href": "https://digitalcommons.odu.edu/context/biology_fac_pubs/article/1266/viewcontent/Day2013FireHurricaneandCarbonDioxideOCR.pdf"}, {"href": "https://doi.org/10.1111/nph.12409"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.12409", "name": "item", "description": "10.1111/nph.12409", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.12409"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-22T00:00:00Z"}}, {"id": "10.2307/1940889", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:24Z", "type": "Journal Article", "created": "2006-05-09", "title": "Effects Of Invasion Of An Aspen Forest (Canada) By Dendrobaena-Octaedra (Lumbricidae) On Plant-Growth", "description": "

Effects of invasion of an aspen forest in the Canadian Rocky Mountains by the earthworm Dendrobaena octaedra (Savigny) on nutrient mineralization, soil microflora, and plant growth were investigated during the growth period of 1992. Experimental chambers with reconstructed forest floor were placed in the field and destructively sampled after 7 and 14 wk. D. octaedra enhanced the shoot biomass of the grass Agropyron trachycaulum (Link) Malte (Poaceae) and increased the shoot\uffe2\uff80\uff94to\uffe2\uff80\uff94root ratio during early plant growth. Microbial biomass, basal respiration and respiratory quotient qCO2 in L/F layer material were reduced by D. octaedra but increased in the H layer. The nutrient (NH4+, NO3\uffe2\uff80\uff94, PO43\uffe2\uff80\uff94) content in soil was also affected by D. octaedra but the effects were small. Effects of the earthworms on soil nutrient content were masked by the great variation in the data and by leaching of nutrients from experimental chambers.

", "keywords": ["roots", "microbes and plants", "soil chemistry", "growth", "populus", "microflora and plants", "Invasion effects on nutrients", "Alberta", "forest soils", "microflora and plants in aspen forest", "Dendrobaena octaedra (Oligochaeta): Element cycles", "Forest and woodland", "nutrients", "biomass production", "Invasion consequences for ecosystem processes in forest soils", "impacts of invasion in aspen forest soils", "mineralization", "Annelids", "effects", "invasion impacts on ecosystem processes", "forests", "2. Zero hunger", "plant morphology", "effects on nutrients", "biomass", "soil fertility", "grasslands", "Habitat colonization", "KananaskisValley", "woodland grasslands", "Dispersal", "04 agricultural and veterinary sciences", "15. Life on land", "invasion", "Invasion of aspen forest soils effects on nutrients", "Invertebrates", "soil biology", "introduced species", "Soil habitat", "Aspen forest soils", "Nutrient mineralization", "0401 agriculture", " forestry", " and fisheries", "dendrobaena", "Impact on habitat", "root shoot ratio", "elymus trachycaulus", "soil fauna", "forest trees", "shoots"], "contacts": [{"organization": "Scheu, Stefan, Parkinson, Dennis,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2307/1940889"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/1940889", "name": "item", "description": "10.2307/1940889", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/1940889"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1994-12-01T00:00:00Z"}}, {"id": "10.3389/fmicb.2015.01104", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:41Z", "type": "Journal Article", "created": "2015-10-14", "title": "Environmental and microbial factors influencing methane and nitrous oxide fluxes in Mediterranean cork oak woodlands: trees make a difference", "description": "Cork oak woodlands (montado) are agroforestry systems distributed all over the Mediterranean basin with a very important social, economic and ecological value. A generalized cork oak decline has been occurring in the last decades jeopardizing its future sustainability. It is unknown how loss of tree cover affects microbial processes that are consuming greenhouse gases in the montado ecosystem. The study was conducted under two different conditions in the natural understory of a cork oak woodland in center Portugal: under tree canopy (UC) and open areas without trees (OA). Fluxes of methane and nitrous oxide were measured with a static chamber technique. In order to quantify methanotrophs and bacteria capable of nitrous oxide consumption, we used quantitative real-time PCR targeting the pmoA and nosZ genes encoding the subunit of particulate methane mono-oxygenase and catalytic subunit of the nitrous oxide reductase, respectively. A significant seasonal effect was found on CH4 and N2O fluxes and pmoA and nosZ gene abundance. Tree cover had no effect on methane fluxes; conversely, whereas the UC plots were net emitters of nitrous oxide, the loss of tree cover resulted in a shift in the emission pattern such that the OA plots were a net sink for nitrous oxide. In a seasonal time scale, the UC had higher gene abundance of Type I methanotrophs. Methane flux correlated negatively with abundance of Type I methanotrophs in the UC plots. Nitrous oxide flux correlated negatively with nosZ gene abundance at the OA plots in contrast to that at the UC plots. In the UC soil, soil organic matter had a positive effect on soil extracellular enzyme activities, which correlated positively with the N2O flux. Our results demonstrated that tree cover affects soil properties, key enzyme activities and abundance of microorganisms and, consequently net CH4 and N2O exchange.", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "nitrous oxide", "methane", "enzymes", "Nitrous Oxide", "Mediterranean", "15. Life on land", "Microbiology", "QR1-502", "Enzymes", "03 medical and health sciences", "methanotrophs", "nosZ", "13. Climate action", "oak woodland", "Methane", "pmoA"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2015.01104"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2015.01104", "name": "item", "description": "10.3389/fmicb.2015.01104", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2015.01104"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-14T00:00:00Z"}}, {"id": "10.5061/dryad.5hk04", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-13T16:22:29Z", "type": "Dataset", "title": "Data from: Beyond plant-soil feedbacks: mechanisms driving plant community shifts due to land-use legacies in post-agricultural forests", "description": "unspecifiedData_Functional_Ecology_All_data_de_la_Pena_et_al_2016Each sheet contains a different data set: Sheet 1: Abiotic fators Data for abiotic soil factors i.e. pH-KCl, total nitrogen, percentage of ash rest, K, Mg, Ca, Al, P, Olsen-P, N/P ratio, percentage of organic matter OM, percentage of carbon, C/N ratio of soil samples collected at three forest sites in Flanders (Belgium): Aelmoeseneie, Doode Bemde and Muizen forest. In all sites, we compared soil conditions in ancient and postagricultural forest parcels. Sheet 2: Nematode community Nematode composition in soil samples collected in three different forest sites in Flanders (Belgium); at each site ancient parcels and post-agricultural parcels were sampled. Sheet 3: Data info of characteristics of species in the introduction experiment Data on basic plant traits of plants reintroduced in post-agricultural and ancient parcels in the Muizen forest (Belgium). For each plant we meassured: length in cm, number of stems, number of holes in leaves, number of leaves, number of leaves with signs of herbivory, proportion of leaves showing herbivory marks, herbivory index. Sheet 4: Invertebrate abundance on surveyed plants along transects in the Muizen forest, Belgium Invertebrate abundance was assessed for all plants present along 10m x 1m transects in the Muizen forest in Belgium. We compared invertebrate abundance in post-agricultural forest parcels and ancient parcels. Sheet 5: Vegetation plots Data on vegetation plots. Plots 10 x 10m. For each forest site i.e. Muizen forest, Aelmoeseneie(ALM) and Doode Bemde six parcels were sampled; 3 on ancient forest parcels and 3 on postagricultural. For each plot the understory vegetation was recorded. Sheet 6: Vegetation transects Comparison of plant species in the understory along transects in the Muizen forest. 10 transect surveys were conducted in ancient forest plots and 10 in post-agricultural. Sheet 7: Ecoplates For the characterization of the soil microbial community we used a method that measures by spectrometric quantification the utilization by microbes of different carbon substrates in microtiter plates (EcoPlates\u00ae). Here we compare mean values for soil samples taken in post-agricultural and ancient forest sites. \u2003 Sheet 8: Data experiment Urtica dioica Data on plant traits and analysis of population build-up of Aphis urticata on Urtica dioica plants growing in soil collected in post-agricultural forest parcels or in ancient forest parcels. The experiment also compared the effect of soil sterilization and provenance on plant performance by measuring plant growth (biomass, no. of runners and flowering). Sheet 9: Plant nutrient analysis Data on nitrogen and phosphorus content of harvested plants from a re-introduction experiment in ancient and post-agricultural forest parcels (in the Muizen forest, Belgium). There were four species compared i.e. Geum urbanum, Circaea lutetiana, Primula elatior and Urtica dioica. Plants were weighed after drying to constant weight at 70 \u00b0C for 48 h. Sheet 10: Data Deschampsia cespitosa experiment Data on the effect of soil sterilization (sterilized vs. non- sterile) and provenance (i.e. ancient and post-agricultural) on plant growth of Deschampsia cespitosa. Sheet 12 and Sheet 13: Population build-up of aphids on Urtica dioica and Deschampsia cespitosa", "keywords": ["2. Zero hunger", "13. Climate action", "Primula elatior", "aboveground-belowground", "Geum urbanum", "Urtica dioica", "Phosphorus", "15. Life on land", "secondary succession", "diversity loss", "Deschampsia cespitosa", "Ciercaea lutetiana", "woodlands"], "contacts": [{"organization": "de la Pe\u00f1a, Eduardo, Baeten, Lander, Steel, Hanne, Viaene, Nicole, De Sutter, Nancy, De Schrijver, An, Verheyen, Kris,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5hk04"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5hk04", "name": "item", "description": "10.5061/dryad.5hk04", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5hk04"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-12T00:00:00Z"}}, {"id": "10.5061/dryad.c866t1gfw", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:33Z", "type": "Dataset", "created": "2024-06-14", "title": "Data from: Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands", "description": "unspecified# Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands [https://doi.org/10.5061/dryad.c866t1gfw](https://doi.org/10.5061/dryad.c866t1gfw) This data was used to conduct all analyses of the linked article. It contains treatments allocated to each sample, as well as all soil chemistry, vegetation, and arbuscular mycorrhizal fungi (AMF) variables ## Description of the data and file structure Three data files are provided: a raw community matrix of AMF (i.e. prior rarefaction), a raw community matrix of plants, and a data frame with the other is the environmental data frame with\u00a0all soil chemistry, vegetation cover and richness, and AMF richness. Please refer to the published article for methodology on how these data were collected. All three data files are connected by the 'sample' column from each data file. Each data file is in excel form and has two sheets: one with the data, and one with the metadata that explains each column. Missing data code: NA", "keywords": ["nutrient enrichment", "Mucoromycotina", "FOS: Biological sciences", "Arbuscular mycorrhizal fungi", "Glomeromycotina", "Ecosystem degradation", "Ecological restoration", "Mediterranean-climate eucalypt woodlands", "plant invasion"], "contacts": [{"organization": "Albornoz, Felipe, Prober, Suzanne, Bissett, Andrew, Tibbett, Mark, Standish, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.c866t1gfw"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c866t1gfw", "name": "item", "description": "10.5061/dryad.c866t1gfw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c866t1gfw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-19T00:00:00Z"}}, {"id": "england-woodland-creation-low-sensitivity-map-v3-0-variant-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:32:25Z", "type": "Dataset", "title": "England Woodland Creation Low Sensitivity Map v3.0: variant 3", "description": "The Forestry Commission has developed a series of sensitivity maps, based on nationally available and consistent datasets, to indicate where there are likely to be fewer sensitivities to woodland creation. These maps will help to indicate to landowners whether there is likely to be potential to establish new woodland on their land, and where there may be sensitivities that would preclude woodland creation. The maps do not indicate that, where there is a low sensitivity to new woodland being created, that planting will be agreed by the Forestry Commission, the regulator for woodland and forestry projects in England. However, the low sensitivity areas have fewest identified constraints to address, and it should be easier to agree creating new woodland here than in other areas. Likewise, creation of new woodland, particularly of native woodland, may be appropriate outside \u2018low sensitivity\u2019 areas, but the appropriateness of proposals in these areas will again be determined by the Forestry Commission, including through responding to the views of Natural England, Environment Agency, Historic England, the Local Authority and other stakeholders, where relevant. The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: \u2018Sensitivity\u2019 = the sensitivity to woodland creation level the land has been assigned. \u2018Area (Hectares)\u2019 = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. These are the first versions of the layers to be published as Open Data.", "keywords": ["afforestation", "creation", "environment", "forestry", "gb", "land-cover", "opportunity", "planting", "protected-sites", "sensitivity", "soil", "species-distribution", "wildlife-protection", "woodland"]}, "links": [{"href": "https://data-forestry.opendata.arcgis.com/"}, {"href": "http://data.europa.eu/88u/dataset/england-woodland-creation-low-sensitivity-map-v3-0-variant-3"}, {"rel": "self", "type": "application/geo+json", "title": "england-woodland-creation-low-sensitivity-map-v3-0-variant-3", "name": "item", "description": "england-woodland-creation-low-sensitivity-map-v3-0-variant-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/england-woodland-creation-low-sensitivity-map-v3-0-variant-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "169b69b5-a1f8-4aed-8042-bfcb4c1e4948", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-31.29, 27.64], [-31.29, 71.17], [44.81, 71.17], [44.81, 27.64], [-31.29, 27.64]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Biodiversity"}], "scheme": "EEA topics"}, {"concepts": [{"id": "Habitats and biotopes"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "modelling"}, {"id": "terrestrial ecosystem"}, {"id": "forest biodiversity"}, {"id": "woodland ecosystem"}, {"id": "natural area"}, {"id": "habitat"}, {"id": "forest"}], "scheme": "GEMET"}, {"concepts": [{"id": "EEA38 (from 2020)"}, {"id": "United Kingdom"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "updated": "2024-05-22T13:02:06.531833Z", "type": "Dataset", "created": "2019-03-01", "language": "eng", "title": "EUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability - version 1, Nov. 2021", "description": "This metadata corresponds to the EUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability dataset. \n\nThe forest and other wooded land habitat type is the land where the dominant vegetation is, or was until very recently, trees with a canopy cover of at least 10%. It includes temporarily unstocked areas due to clear-cutting as part of a forest management practice or natural disasters which are expected to be regenerated within 5 years but does not include land that is predominantly under agricultural or urban land use. Trees are defined as woody plants, typically single-stemmed, that can reach a height of at least 5 m at maturity unless stunted by poor climate or soil. Includes Alnus and Populus swamp forest and riverine Salix forest. Excludes Corylus avellana scrub and Salix and Frangula carrs. Excludes lines of trees, coppices, regularly tilled tree nurseries. Excludes stands of climatically-limited dwarf trees (krummholz) < 3m high, such as occur at the arctic or alpine tree limit which are considered scrub (section S) . Excludes tree stands in agricultural production systems, such as fruit tree plantations, olive orchards and agroforestry systems (dehesa and montado) where crops are grown under tree cover - canopy less than 10%, which are listed under sparsely wooded grasslands. Old plantations which have many of the characteristics of natural or semi-natural forests are included, more intensively managed, and less natural, forests are included in vegetated man-made habitats.\n\nThe modelled suitability for EUNIS forest and other wooded land 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 suitability 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 land use, vegetation height, phenology, and LAI (Leaf 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"}], "keywords": ["Biodiversity", "Habitats and biotopes", "modelling", "terrestrial ecosystem", "forest biodiversity", "woodland ecosystem", "natural area", "habitat", "forest", "EEA38 (from 2020)", "United Kingdom", "European"], "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-t_p_1940-2017_v01_r00/", "protocol": "EEA:FOLDERPATH", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/169b69b5-a1f8-4aed-8042-bfcb4c1e4948", "name": "Direct download", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/EUNIS/Mosaic_Forest/ImageServer", "name": "Suitability Layer", "protocol": "ESRI:REST", "rel": null}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/services/EUNIS/Mosaic_Forest/ImageServer/WMSServer?request=GetCapabilities&service=WMS", "protocol": "OGC:WMS", "rel": null}, {"href": "https://sdi.eea.europa.eu/data/f5946d76-bf09-4261-8f2e-6218210ae3af", "name": "EUNIS documentation for habitat classification", "protocol": "WWW:URL", "rel": null}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/169b69b5-a1f8-4aed-8042-bfcb4c1e4948.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": "169b69b5-a1f8-4aed-8042-bfcb4c1e4948", "name": "item", "description": "169b69b5-a1f8-4aed-8042-bfcb4c1e4948", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/169b69b5-a1f8-4aed-8042-bfcb4c1e4948"}, {"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": "1b43939a-cb20-4eb8-b6e7-b454971ed933", "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": "Habitats and biotopes"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "terrestrial ecosystem"}, {"id": "natural area"}, {"id": "forest"}, {"id": "forest biodiversity"}, {"id": "habitat"}, {"id": "woodland ecosystem"}], "scheme": "GEMET"}, {"concepts": [{"id": "San Marino"}, {"id": "United Kingdom"}, {"id": "EEA38 (from 2020)"}, {"id": "Belarus"}, {"id": "Ukraine"}, {"id": "Moldova"}, {"id": "Russian Federation (European part)"}, {"id": "Georgia"}, {"id": "Andorra"}, {"id": "Monaco"}], "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"}], "updated": "2024-05-22T13:16:56.732012Z", "type": "Dataset", "created": "2019-03-01", "language": "eng", "title": "EUNIS forest and other wooded land habitat types, distribution based on vegetation plot data - version 1, Nov. 2021", "description": "This metadata corresponds to the EUNIS forest and other wooded land habitat types, distribution based on vegetation plot data dataset. \n\nThe forest and other wooded land habitat type is the land where the dominant vegetation is, or was until very recently, trees with a canopy cover of at least 10%. It includes temporarily unstocked areas due to clear-cutting as part of a forest management practice or natural disasters which are expected to be regenerated within 5 years but does not include land that is predominantly under agricultural or urban land use. Trees are defined as woody plants, typically single-stemmed, that can reach a height of at least 5 m at maturity unless stunted by poor climate or soil. Includes Alnus and Populus swamp forest and riverine Salix forest. Excludes Corylus avellana scrub and Salix and Frangula carrs. Excludes lines of trees, coppices, regularly tilled tree nurseries. Excludes stands of climatically-limited dwarf trees (krummholz) < 3m high, such as occur at the arctic or alpine tree limit which are considered scrub (section S)\u00a0. Excludes tree stands in agricultural production systems, such as fruit tree plantations, olive orchards and agroforestry systems (dehesa and montado) where crops are grown under tree cover - canopy less than 10%, which are listed under sparsely wooded grasslands. Old plantations which have many of the characteristics of natural or semi-natural forests are included, more intensively managed, and less natural, forests are included in vegetated man-made habitats.\n\nThe verified forest and other wooded land habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan. 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"}], "keywords": ["Habitats and biotopes", "terrestrial ecosystem", "natural area", "forest", "forest biodiversity", "habitat", "woodland ecosystem", "San Marino", "United Kingdom", "EEA38 (from 2020)", "Belarus", "Ukraine", "Moldova", "Russian Federation (European part)", "Georgia", "Andorra", "Monaco", "European", "Biodiversity"], "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}]}], "denominator": "10000000", "edition": "01.00"}, "links": [{"href": "https://sdi.eea.europa.eu/webdav/datastore/public/eea_v_3035_10_mio_eunis-hab-t_p_1940-2017_v01_r00/", "protocol": "EEA:FOLDERPATH", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/1b43939a-cb20-4eb8-b6e7-b454971ed933", "name": "Direct download", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/EUNIS/Forest_Distribution_point/MapServer", "name": "Vegetation Plot Layer", "protocol": "ESRI:REST", "rel": null}, {"href": "https://bio.discomap.eea.europa.eu/arcgis/services/EUNIS/Forest_Distribution_point/MapServer/WMSServer?request=GetCapabilities&service=WMS", "protocol": "OGC:WMS", "rel": null}, {"href": "https://sdi.eea.europa.eu/data/f5946d76-bf09-4261-8f2e-6218210ae3af", "name": "EUNIS documentation for habitat classification", "protocol": "WWW:URL", "rel": null}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1b43939a-cb20-4eb8-b6e7-b454971ed933.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": "1b43939a-cb20-4eb8-b6e7-b454971ed933", "name": "item", "description": "1b43939a-cb20-4eb8-b6e7-b454971ed933", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1b43939a-cb20-4eb8-b6e7-b454971ed933"}, {"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": "england-woodland-creation-full-sensitivity-map-v3-0-variant-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:32:25Z", "type": "Dataset", "title": "England Woodland Creation Full Sensitivity Map v3.0: variant 1", "description": "The Forestry Commission has developed a series of sensitivity maps, based on nationally available and consistent datasets, to indicate where there are likely to be fewer sensitivities to woodland creation. These maps will help to indicate to landowners whether there is likely to be potential to establish new woodland on their land, and where there may be sensitivities that would preclude woodland creation. The maps do not indicate that, where there is a low sensitivity to new woodland being created, that planting will be agreed by the Forestry Commission, the regulator for woodland and forestry projects in England. However, the low sensitivity areas have fewest identified constraints to address, and it should be easier to agree creating new woodland here than in other areas. Likewise, creation of new woodland, particularly of native woodland, may be appropriate outside \u2018low sensitivity\u2019 areas, but the appropriateness of proposals in these areas will again be determined by the Forestry Commission, including through responding to the views of Natural England, Environment Agency, Historic England, the Local Authority and other stakeholders, where relevant. The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: \u2018Sensitivity\u2019 = the sensitivity to woodland creation level the land has been assigned. \u2018Area (Hectares)\u2019 = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. These are the first versions of the layers to be published as Open Data.", "keywords": ["afforestation", "creation", "environment", "forestry", "gb", "land-cover", "opportunity", "planting", "protected-sites", "sensitivity", "soil", "species-distribution", "wildlife-protection", "woodland"]}, "links": [{"href": "https://data-forestry.opendata.arcgis.com/"}, {"href": "http://data.europa.eu/88u/dataset/england-woodland-creation-full-sensitivity-map-v3-0-variant-1"}, {"rel": "self", "type": "application/geo+json", "title": "england-woodland-creation-full-sensitivity-map-v3-0-variant-1", "name": "item", "description": "england-woodland-creation-full-sensitivity-map-v3-0-variant-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/england-woodland-creation-full-sensitivity-map-v3-0-variant-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "england-woodland-creation-full-sensitivity-map-v3-0-variant-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:32:25Z", "type": "Dataset", "title": "England Woodland Creation Full Sensitivity Map v3.0: variant 3", "description": "The Forestry Commission has developed a series of sensitivity maps, based on nationally available and consistent datasets, to indicate where there are likely to be fewer sensitivities to woodland creation. These maps will help to indicate to landowners whether there is likely to be potential to establish new woodland on their land, and where there may be sensitivities that would preclude woodland creation. The maps do not indicate that, where there is a low sensitivity to new woodland being created, that planting will be agreed by the Forestry Commission, the regulator for woodland and forestry projects in England. However, the low sensitivity areas have fewest identified constraints to address, and it should be easier to agree creating new woodland here than in other areas. Likewise, creation of new woodland, particularly of native woodland, may be appropriate outside \u2018low sensitivity\u2019 areas, but the appropriateness of proposals in these areas will again be determined by the Forestry Commission, including through responding to the views of Natural England, Environment Agency, Historic England, the Local Authority and other stakeholders, where relevant. The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: \u2018Sensitivity\u2019 = the sensitivity to woodland creation level the land has been assigned. \u2018Area (Hectares)\u2019 = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. 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The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. 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The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: \u2018Sensitivity\u2019 = the sensitivity to woodland creation level the land has been assigned. \u2018Area (Hectares)\u2019 = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. 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The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. 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