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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...
Autores principales: | Shabbir, Ali Hassan, Zhang, Jiquan, Johnston, James D., Sarkodie, Samuel Asumadu, Lutz, James A., Liu, Xingpeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
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 |
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