Sammanfattning

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 opportu-nity 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.

Publicerad i

Trends in Plant Science
2023, Volym: 28, nummer: 5, sidor: 519-526
Utgivare: ELSEVIER SCIENCE LONDON

SLU författare

• Zhan, Jiasui

  • Institutionen för skoglig mykologi och växtpatologi, Sveriges lantbruksuniversitet
    

Globala målen

SDG13 Vidta omedelbara åtgärder för att bekämpa klimatförändringarna och dess konsekvenser


UKÄ forskningsämne

Jordbruksvetenskap
Klimatforskning


Publikationens identifierare

DOI: https://doi.org/10.1016/j.tplants.2022.12.011

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/122176