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Global estimates of stress-reflecting indices reveal key climatic drivers of climate-induced forest range shifts.
Hirata, Akiko; Kominami, Yuji; Ohashi, Haruka; Tsuyama, Ikutaro; Tanaka, Nobuyuki; Nakao, Katsuhiro; Hijioka, Yasuaki; Matsui, Tetsuya.
  • Hirata A; Center for Biodiversity and Climate Change, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Tsukuba, Ibaraki 305-8687, Japan. Electronic address: hirataa@affrc.go.jp.
  • Kominami Y; Department of Disaster Prevention, Meteorology and Hydrology, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Tsukuba, Ibaraki 305-8687, Japan.
  • Ohashi H; Department of Wildlife Biology, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Tsukuba, Ibaraki 305-8687, Japan.
  • Tsuyama I; Hokkaido Research Center, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Sapporo, Hokkaido 062-8516, Japan.
  • Tanaka N; Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, Setagaya, Tokyo 156-8502, Japan; Environment Consultant ENVI, Tsukuba, Ibaraki 305-0062, Japan.
  • Nakao K; Kansai Research Center, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Kyoto, Kyoto 612-0855, Japan.
  • Hijioka Y; Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan.
  • Matsui T; Center for Biodiversity and Climate Change, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Tsukuba, Ibaraki 305-8687, Japan; Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan.
Sci Total Environ ; 824: 153697, 2022 Jun 10.
Article en En | MEDLINE | ID: mdl-35143798
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Árboles / Bosques Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Árboles / Bosques Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article