Modeling plant diseases under climate change: evolutionary perspectives.
climate preference
evolutionary adaptation
polytrophic models
sustainability
trade-offs
Journal
Trends in plant science
ISSN: 1878-4372
Titre abrégé: Trends Plant Sci
Pays: England
ID NLM: 9890299
Informations de publication
Date de publication:
05 2023
05 2023
Historique:
received:
29
07
2022
revised:
07
12
2022
accepted:
15
12
2022
medline:
17
4
2023
pubmed:
3
1
2023
entrez:
2
1
2023
Statut:
ppublish
Résumé
Infectious plant diseases are a major threat to global agricultural productivity, economic development, and ecological integrity. There is widespread concern that these social and natural disasters caused by infectious plant diseases may escalate with climate change and computer modeling offers a unique opportunity to address this concern. Here, we analyze the intrinsic problems associated with current modeling strategies and highlight the need to integrate evolutionary principles into polytrophic, eco-evolutionary frameworks to improve predictions. We particularly discuss how evolutionary shifts in functional trade-offs, relative adaptability between plants and pathogens, ecosystems, and climate preferences induced by climate change may feedback to future plant disease epidemics and how technological advances can facilitate the generation and integration of this relevant knowledge for better modeling predictions.
Identifiants
pubmed: 36593138
pii: S1360-1385(22)00334-X
doi: 10.1016/j.tplants.2022.12.011
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
519-526Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors have no interests to declare.