Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models

The influence of climate change on wildland fire has received considerable attention, but few studies have examined the potential effects of climate variability on grassland area burned within the extensive steppe land of Eurasia. We used a novel statistical approach borrowed from the social science...

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Detalles Bibliográficos
Autores principales: Shabbir, Ali Hassan, Zhang, Jiquan, Johnston, James D., Sarkodie, Samuel Asumadu, Lutz, James A., Liu, Xingpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122722/
https://www.ncbi.nlm.nih.gov/pubmed/32243439
http://dx.doi.org/10.1371/journal.pone.0229894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122722/
https://www.ncbi.nlm.nih.gov/pubmed/32243439
http://dx.doi.org/10.1371/journal.pone.0229894

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