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Circumpolar Arctic vegetation: a hierarchic review and roadmap toward an internationally consistent approach to survey, archive and classify tundra plot data

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 11, 期 5, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-9326/11/5/055005

关键词

climate change; remote sensing; vegetation classification; Arctic; biodiversity; circumpolar

资金

  1. USA National Atmospheric and Space Administration Arctic Boreal Vulnerability Experiment (ABoVE) [NNX13AM20G]
  2. NASA Land Cover and Land Use Change Program (LCLUC) [NNX14AD90G]
  3. International Arctic Science Committee (IASC)
  4. Conservation of Arctic Flora and Fauna (CAFF)
  5. Directorate For Geosciences
  6. Office of Polar Programs (OPP) [1504381, 1263854] Funding Source: National Science Foundation
  7. NASA [685523, NNX14AD90G] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Satellite-derived remote-sensing products are providing a modern circumpolar perspective of Arctic vegetation and its changes, but this new view is dependent on a long heritage of ground-based observations in the Arctic. Several products of the Conservation of Arctic Flora and Fauna are key to our current understanding. We review aspects of the PanArctic Flora, the Circumpolar Arctic Vegetation Map, the Arctic Biodiversity Assessment, and the Arctic Vegetation Archive (AVA) as they relate to efforts to describe and map the vegetation, plant biomass, and biodiversity of the Arctic at circumpolar, regional, landscape and plot scales. Cornerstones for all these tools are ground-based plant-species and plant-community surveys. The AVA is in progress and will store plot-based vegetation observations in a public-accessible database for vegetation classification, modeling, diversity studies, and other applications. We present the current status of the Alaska Arctic Vegetation Archive (AVA-AK), as a regional example for the panarctic archive, and with a roadmap for a coordinated international approach to survey, archive and classify Arctic vegetation. We note the need for more consistent standards of plot-based observations, and make several recommendations to improve the linkage between plot-based observations biodiversity studies and satellite-based observations of Arctic vegetation.

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