Machine-learning modeling on tree mortality and growth reduction of temperate forests with climatic and ecophysiological parameters-Reference-Cited by-同舟云学术

Machine-learning modeling on tree mortality and growth reduction of temperate forests with climatic and ecophysiological parameters

Published:2023-09 Issue: Volume:483 Page:110456
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Cho Nanghyun^ORCID,Agossou Casimir,Kim Eunsook,Lim Jong-Hwan,Seo Jeong-Wook,Kang Sinkyu

Funder

National Institute of Forest Science

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference60 articles.

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4. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene;Allen;ESA Centennial Paper,2015

5. Drought's legacy: multiyear hydraulic deterioration underlies widespread aspen forest die-off and portends increased future risk;Anderegg;Glob. Chang. Biol.,2013

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