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Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk
Arid and semi-arid areas in North China are facing the challenge of a rising aeolian desertification risk (ADR) due to the intertwined effects of complex natural processes and intensified anthropogenic activities. An accurate quantitative assessment of the relationship between ADR and its determinan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795792/ https://www.ncbi.nlm.nih.gov/pubmed/26987114 http://dx.doi.org/10.1371/journal.pone.0151331 |
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author | Du, Ziqiang Xu, Xiaoming Zhang, Hong Wu, Zhitao Liu, Yong |
author_facet | Du, Ziqiang Xu, Xiaoming Zhang, Hong Wu, Zhitao Liu, Yong |
author_sort | Du, Ziqiang |
collection | PubMed |
description | Arid and semi-arid areas in North China are facing the challenge of a rising aeolian desertification risk (ADR) due to the intertwined effects of complex natural processes and intensified anthropogenic activities. An accurate quantitative assessment of the relationship between ADR and its determinants is beneficial for understanding the driving mechanisms of aeolian desertification and for controlling future desertification. Previous studies have failed to quantify the relative role of determinants driving ADR and have been limited in assessing their interactive impacts. In this study, a spatial variance analysis-based geographical detector methodology is used to quantify the effects of geological, physical, and human factors on the occurrence of ADR in an area characterized by mountains and hills in northern China. It is found that soil type, precipitation, and wind velocity are the major determinants of ADR, which implies that geological and physical elements (e.g., soil attribute) and climatic factors (e.g., precipitation and wind velocity) rather than human activities have played a greater role in the incidence of ADR. Particularly, the results show that the interaction of various determinants causes significant non-linearly enhanced impacts on the ADR. The findings of our study will assist local inhabitants and policy makers in developing measures for wind prevention and sand control to mitigate the effects of desertification in the region. |
format | Online Article Text |
id | pubmed-4795792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47957922016-03-23 Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk Du, Ziqiang Xu, Xiaoming Zhang, Hong Wu, Zhitao Liu, Yong PLoS One Research Article Arid and semi-arid areas in North China are facing the challenge of a rising aeolian desertification risk (ADR) due to the intertwined effects of complex natural processes and intensified anthropogenic activities. An accurate quantitative assessment of the relationship between ADR and its determinants is beneficial for understanding the driving mechanisms of aeolian desertification and for controlling future desertification. Previous studies have failed to quantify the relative role of determinants driving ADR and have been limited in assessing their interactive impacts. In this study, a spatial variance analysis-based geographical detector methodology is used to quantify the effects of geological, physical, and human factors on the occurrence of ADR in an area characterized by mountains and hills in northern China. It is found that soil type, precipitation, and wind velocity are the major determinants of ADR, which implies that geological and physical elements (e.g., soil attribute) and climatic factors (e.g., precipitation and wind velocity) rather than human activities have played a greater role in the incidence of ADR. Particularly, the results show that the interaction of various determinants causes significant non-linearly enhanced impacts on the ADR. The findings of our study will assist local inhabitants and policy makers in developing measures for wind prevention and sand control to mitigate the effects of desertification in the region. Public Library of Science 2016-03-17 /pmc/articles/PMC4795792/ /pubmed/26987114 http://dx.doi.org/10.1371/journal.pone.0151331 Text en © 2016 Du et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Du, Ziqiang Xu, Xiaoming Zhang, Hong Wu, Zhitao Liu, Yong Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title | Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title_full | Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title_fullStr | Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title_full_unstemmed | Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title_short | Geographical Detector-Based Identification of the Impact of Major Determinants on Aeolian Desertification Risk |
title_sort | geographical detector-based identification of the impact of major determinants on aeolian desertification risk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795792/ https://www.ncbi.nlm.nih.gov/pubmed/26987114 http://dx.doi.org/10.1371/journal.pone.0151331 |
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