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High-resolution spatial dataset of ecosystem types in Japan classified within the IUCN global ecosystem typology scheme with new categories at the Regional subgroups level
  • +5
  • Lea Végh,
  • Jun Nishihiro,
  • Hironori Toyama,
  • Fumiko Ishihama,
  • Hiroyuki Kudo,
  • Yuki Tanno,
  • Taku Kadoya,
  • Yayoi Takeuchi
Lea Végh
National Institute for Environmental Studies
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Jun Nishihiro
National Institute for Environmental Studies
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Hironori Toyama
J F Oberlin University
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Fumiko Ishihama
National Institute for Environmental Studies
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Hiroyuki Kudo
National Institute for Environmental Studies
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Yuki Tanno
National Institute for Environmental Studies
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Taku Kadoya
National Institute for Environmental Studies
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Yayoi Takeuchi
National Institute for Environmental Studies

Corresponding Author:takeuchi.yayoi@nies.go.jp

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Abstract

The International Union for Conservation of Nature (IUCN) has recently developed a global ecosystem typology (IUCN typology) based on the functional characteristics of the ecosystems. However, its low spatial resolution and lack of recognition of certain categories in Japan limits effective and precise habitat analysis for global comparisons. In this data paper, we used the Japanese vegetation map provided by the Ministry of Environment (MOE) to align Japanese vegetation categories with the IUCN typology scheme up to Level 4, Regional subgroups, developing a correspondence table and a high-resolution spatial dataset focusing on terrestrial ecosystems. In addition, we also integrated the land-use classification developed by the National Institute for Environmental Studies. The dataset includes tables describing the integration of Japanese habitat classification with IUCN typology from Level 1 to 4 (Realms, Biomes, Ecosystem functional groups, Regional subgroups), explanation of land-use categories, and the main corresponding table as well as high-resolution integrated GIS data. This integration supports both global and local studies, with the tables including English and Japanese names of the classification tree.
28 Nov 2024Submitted to Ecological Research
03 Dec 2024Submission Checks Completed
03 Dec 2024Assigned to Editor
03 Dec 2024Review(s) Completed, Editorial Evaluation Pending
16 Dec 2024Reviewer(s) Assigned