首页    期刊浏览 2025年02月17日 星期一
登录注册

文章基本信息

  • 标题:Near-global freshwater-specific environmental variables for biodiversity analyses in 1km resolution
  • 本地全文:下载
  • 作者:Sami Domisch ; Giuseppe Amatulli ; Walter Jetz
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2015
  • 卷号:2
  • DOI:10.1038/sdata.2015.73
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:The lack of freshwater-specific environmental information at sufficiently fine spatial grain hampers broad-scale analyses in aquatic biology, biogeography, conservation, and ecology. Here we present a near-global, spatially continuous, and freshwater-specific set of environmental variables in a standardized 1鈥塳m grid. We delineate the sub-catchment for each grid cell along the HydroSHEDS river network and summarize the upstream climate, topography, land cover, surface geology and soil to each grid cell using various metrics (average, minimum, maximum, range, sum, inverse distance-weighted average and sum). All variables were subsequently averaged across single lakes and reservoirs of the Global lakes and Wetlands Database that are connected to the river network. Monthly climate variables were summarized into 19 long-term climatic variables following the 鈥榖ioclim鈥?framework. This new set of variables provides a basis for spatial ecological and biodiversity analyses in freshwater ecosystems at near global extent, yet fine spatial grain. To facilitate the generation of freshwater variables for custom study areas and spatial grains, we provide the 鈥?i>r.stream.watersheds鈥?and 鈥?i>r.stream.variables鈥?add-ons for the GRASS GIS software.
国家哲学社会科学文献中心版权所有