Dryland sensitivity to climate change and variability using nonlinear dynamics.

Sasaki, Takehiro; Collins, Scott L; Rudgers, Jennifer A; Batdelger, Gantsetseg; Baasandai, Erdenetsetseg; Kinugasa, Toshihiko

Sasaki, Takehiro; Collins, Scott L; Rudgers, Jennifer A; Batdelger, Gantsetseg; Baasandai, Erdenetsetseg; Kinugasa, Toshihiko.

Afiliação

Sasaki T; Graduate School of Environment and Information Sciences, Yokohama National University, Hodogaya, Yokohama 240-8501, Japan.
Collins SL; Department of Biology, MSC03-2020, University of New Mexico, Albuquerque, NM 87131.
Rudgers JA; Department of Biology, MSC03-2020, University of New Mexico, Albuquerque, NM 87131.
Batdelger G; Information and Research Institute of Meteorology, Hydrology and Environment of Mongolia, Ulaanbaatar 15160, Mongolia.
Baasandai E; Information and Research Institute of Meteorology, Hydrology and Environment of Mongolia, Ulaanbaatar 15160, Mongolia.
Kinugasa T; Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan.

Proc Natl Acad Sci U S A ; 120(35): e2305050120, 2023 Aug 29.

Article em En | MEDLINE | ID: mdl-37603760

Palavras-chave

aridification; climate extreme; convergent cross-mapping; drought legacy; empirical dynamic modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

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