Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework-Reference-Cited by-同舟云学术

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Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework

Published:2021-01 Issue: Volume:196 Page:104879
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Wang Lu,Huang Shengzhi^ORCID,Huang Qiang,Leng Guoyong,Han Zhiming,Zhao Jing,Guo Yi

Funder

Shaanxi Provincial Department of Water Resources

China Institute of Water Resources and Hydropower Research

Education Department of Shaanxi Province

China Postdoctoral Science Foundation

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference49 articles.

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2. Multimodel inference: understanding AIC and BIC in model selection;Burnham;Sociol. Meth. Res.,2004

3. Comparing the pearson and spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data;de Winter;Psychol Methods.,2016

4. Probabilistic assessment of remote sensing-based terrestrial vegetation vulnerability to drought stress of the Loess Plateau in China;Fang;Remote Sens. Environ.,2019

5. Copulas-based risk analysis for inter-seasonal combinations of wet and dry conditions under a changing climate;Fang;Int. J. Climatol.,2019

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