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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |