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Influences of population pressure change on vegetation greenness in China's mountainous areas

Mountainous areas in China account for two‐thirds of the total land area. Due to rapid urbanization, rural population emigration in China's mountainous areas is very significant. This raises the question to which degree such population emigration influences the vegetation greenness in these are...

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Autores principales: Li, Wei, Li, Xiubin, Tan, Minghong, Wang, Yahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677483/
https://www.ncbi.nlm.nih.gov/pubmed/29152196
http://dx.doi.org/10.1002/ece3.3424
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author Li, Wei
Li, Xiubin
Tan, Minghong
Wang, Yahui
author_facet Li, Wei
Li, Xiubin
Tan, Minghong
Wang, Yahui
author_sort Li, Wei
collection PubMed
description Mountainous areas in China account for two‐thirds of the total land area. Due to rapid urbanization, rural population emigration in China's mountainous areas is very significant. This raises the question to which degree such population emigration influences the vegetation greenness in these areas. In this study, 9,753 sample areas (each sample measured about 64 square kilometers) were randomly selected, and the influences of population emigration (population pressure change) on vegetation greenness during 2000–2010 were quantitatively expressed by the multivariate linear regression (MLR) model, using census data under the condition of controlling the natural elements such as climatic and landform factors. The results indicate that the vegetation index in the past 10 years has presented an increasing overall trend, albeit with local decrease in some regions. The combined area of the regions with improved vegetation accounted for 81.7% of the total mountainous areas in China. From 2000 to 2010, the rural population significantly decreased, with most significant decreases in the northern and central areas (17.2% and 16.8%, respectively). In China's mountainous areas and in most of the subregions, population emigration has significant impacts on vegetation change. In different subregions, population decrease differently influenced vegetation greenness, and the marginal effect of population decrease on vegetation change presented obvious differences from north to south. In the southwest, on the premise of controlling other factors, a population decrease by one unit could increase the slope of vegetation change by 16.4%; in contrast, in the southeastern, northern, northeastern, and central area, the proportion was about 15.5%, 10.6%, 9.7%, and 7.5%, respectively, for improving the trend of NDVI variation.
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spelling pubmed-56774832017-11-17 Influences of population pressure change on vegetation greenness in China's mountainous areas Li, Wei Li, Xiubin Tan, Minghong Wang, Yahui Ecol Evol Original Research Mountainous areas in China account for two‐thirds of the total land area. Due to rapid urbanization, rural population emigration in China's mountainous areas is very significant. This raises the question to which degree such population emigration influences the vegetation greenness in these areas. In this study, 9,753 sample areas (each sample measured about 64 square kilometers) were randomly selected, and the influences of population emigration (population pressure change) on vegetation greenness during 2000–2010 were quantitatively expressed by the multivariate linear regression (MLR) model, using census data under the condition of controlling the natural elements such as climatic and landform factors. The results indicate that the vegetation index in the past 10 years has presented an increasing overall trend, albeit with local decrease in some regions. The combined area of the regions with improved vegetation accounted for 81.7% of the total mountainous areas in China. From 2000 to 2010, the rural population significantly decreased, with most significant decreases in the northern and central areas (17.2% and 16.8%, respectively). In China's mountainous areas and in most of the subregions, population emigration has significant impacts on vegetation change. In different subregions, population decrease differently influenced vegetation greenness, and the marginal effect of population decrease on vegetation change presented obvious differences from north to south. In the southwest, on the premise of controlling other factors, a population decrease by one unit could increase the slope of vegetation change by 16.4%; in contrast, in the southeastern, northern, northeastern, and central area, the proportion was about 15.5%, 10.6%, 9.7%, and 7.5%, respectively, for improving the trend of NDVI variation. John Wiley and Sons Inc. 2017-09-25 /pmc/articles/PMC5677483/ /pubmed/29152196 http://dx.doi.org/10.1002/ece3.3424 Text en © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Li, Wei
Li, Xiubin
Tan, Minghong
Wang, Yahui
Influences of population pressure change on vegetation greenness in China's mountainous areas
title Influences of population pressure change on vegetation greenness in China's mountainous areas
title_full Influences of population pressure change on vegetation greenness in China's mountainous areas
title_fullStr Influences of population pressure change on vegetation greenness in China's mountainous areas
title_full_unstemmed Influences of population pressure change on vegetation greenness in China's mountainous areas
title_short Influences of population pressure change on vegetation greenness in China's mountainous areas
title_sort influences of population pressure change on vegetation greenness in china's mountainous areas
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677483/
https://www.ncbi.nlm.nih.gov/pubmed/29152196
http://dx.doi.org/10.1002/ece3.3424
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