Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms

Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology. However, in tropical dry forests where tree diversity is high, species responses to climate change differ. The objective of this research is to anal...

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Detalles Bibliográficos
Autores principales: Lamjiak, Taninnuch, Kaewthongrach, Rungnapa, Sirinaovakul, Booncharoen, Hanpattanakit, Phongthep, Chithaisong, Amnat, Polvichai, Jumpol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389403/
https://www.ncbi.nlm.nih.gov/pubmed/34437578
http://dx.doi.org/10.1371/journal.pone.0255962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389403/
https://www.ncbi.nlm.nih.gov/pubmed/34437578
http://dx.doi.org/10.1371/journal.pone.0255962

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