遇见数据集

Current and future European potential vegetation types

收藏
Zenodo2025-01-13 更新2026-05-26 收录
官方服务:

资源简介:

This dataset contains Potential Natural Vegetation (PNV) estimates for the European continent at 1km grain size. Estimates are made for six different vegetation types following the MAES Ecosystem classification at level 1. The predictions have been made through an ensemble of Bayesian Habitat distribution models available through the ibis.iSDM package (Jung 2023). For more information on the methodology, original data and used covariates, please see the accompanying preprint (Jung 2024).Uploaded are: The most likely current PNV transition (see screenshot) as categorical raster (and screenshot, see png)(Classes: 1=Woodland.and.forest | 2=Heathland.and.shrub | 3=Grassland | 4=Sparsely.vegetated.areas | 5=Wetlands | 6=Marine.inlets.and.transitional.waters) Current PNV estimates as cloud-optimized geoTIFF ("COG") files (.tif) Current and future PNV estimates for on GCM as netCDF files (.nc). Variable naming scheme:Current: "pnv_XX_laea_1km.tif"where XX represents the vegetation typeFuture: "pnv_projection__XX__SS__GG.nc"where XX represents the vegetation type, SS the Shared Socioeconomic Pathway and GG the General Circulation Model.Layers names and interpretation:For current:"mean" = Average Ensemble posterior prediction"sd" = Standard deviation of posterior prediction"q05" = Lower percentile (5%) of posterior prediction"q50" = Median or 50% percentile of posterior prediction"q95" = Upper percentile (95%) of posterior prediction"mode" = Most commonly encountered value of posterior prediction"cv" = Coefficient of variation of posterior predictionFor future:"mean" = Average Ensemble posterior prediction"q05" = Lower percentile (5%) of posterior prediction"q50" = Median or 50% percentile of posterior prediction"q95" = Upper percentile (95%) of posterior prediction ---Data properties: Shared Socioeconomic Pathways (SSP) SSP1-2.6, SSP2-4.5, SSP5-8.5 General circulation models (GCMs) GFDL-ESM4 Spatial grain 1 km² Geographic projection LAEA Temporal grain 30 year climatologies Spatial extent Continental Europe including Turkey (see screenshot) Temporal extent 1990 to 2020 (Current), 2020 - 2100 (Future) Number of variables 7 All files are provided as is and the author takes no responsibility for errors or misuse.

提供机构:
Zenodo
创建时间:
2024-09-13
二维码
社区交流群
二维码
科研交流群
商业服务