20th-Century hurricanes leave long-lasting legacies on tropical forest height and the abundance of a dominant wind-resistant palm.
canopy height
machine learning
tropical cyclones
Journal
Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
04
05
2023
revised:
08
11
2023
accepted:
13
11
2023
medline:
29
11
2023
pubmed:
29
11
2023
entrez:
29
11
2023
Statut:
epublish
Résumé
Projected increases in hurricane intensity under a warming climate will have profound effects on many forest ecosystems. One key challenge is to disentangle the effects of wind damage from the myriad factors that influence forest structure and species distributions over large spatial scales. Here, we employ a novel machine learning framework with high-resolution aerial photos, and LiDAR collected over 115 km
Identifiants
pubmed: 38020686
doi: 10.1002/ece3.10776
pii: ECE310776
pmc: PMC10680431
doi:
Banques de données
Dryad
['10.5061/dryad.7h44j1011I']
Types de publication
Journal Article
Langues
eng
Pagination
e10776Informations de copyright
© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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