Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River

The upstream of Minjiang River is an important ecological barrier and one of the main water sources of the Chengdu Plain and upstream Yangtze River. However the ecological balance is vulnerable in this area. Terrain undulation has a certain impact on vegetation coverage in mountain areas. However, i...

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Autores principales:	Yalan Xiong, Yiran Li, Shiyao Xiong, Guohui Wu, Ouping Deng
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Terrain attributes NDVI Two-dimensional wavelet transform Geographically weighted regression Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c208391eeadc46fdb771951fbe07a68d
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spelling	oai:doaj.org-article:c208391eeadc46fdb771951fbe07a68d2021-12-01T04:49:24ZMulti-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River1470-160X10.1016/j.ecolind.2021.107610https://doaj.org/article/c208391eeadc46fdb771951fbe07a68d2021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002752https://doaj.org/toc/1470-160XThe upstream of Minjiang River is an important ecological barrier and one of the main water sources of the Chengdu Plain and upstream Yangtze River. However the ecological balance is vulnerable in this area. Terrain undulation has a certain impact on vegetation coverage in mountain areas. However, it is not clear how the influence of topography on vegetation coverage changes with pixel scale. This study proposed a framework by combining Discrete Wavelet Transform (DWT) and Geographically Weighted Regression (GWR) to detect the relationships between topography and vegetation in a typical fragile ecological area. The satellite-derived Normalized Difference Vegetation Index (NDVI) and Digital Elevation Model (DEM) were combined to examine the terrain undulation impacts on vegetation coverage at different scales in a small watershed of the Upper Minjiang River. The study results showed that approximate components of NDVI had consistently strong spatial autocorrelation at multi-scale. Elevation and south-facing index of aspect were positively correlated with NDVI, whereas slope was negatively correlated with NDVI. The order of correlation between terrain attributes and NDVI was elevation > aspect > slope. The correlation of NDVI with elevation and slope increased as the decomposition scale increased, whereas the correlation between NDVI and south-facing index of aspect did not show obvious change rule with increasing scale. The spatial heterogeneity of impact degree of elevation decreased as the scale parameter increased, but slope and aspect did not show obviously smoothing effect as the scale parameter increased. The findings will help identifying the favorable topographic position for vegetation growth and its controlling mechanisms and provide a new insight for ecological restoration practices.Yalan XiongYiran LiShiyao XiongGuohui WuOuping DengElsevierarticleTerrain attributesNDVITwo-dimensional wavelet transformGeographically weighted regressionEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107610- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Terrain attributes NDVI Two-dimensional wavelet transform Geographically weighted regression Ecology QH540-549.5
spellingShingle	Terrain attributes NDVI Two-dimensional wavelet transform Geographically weighted regression Ecology QH540-549.5 Yalan Xiong Yiran Li Shiyao Xiong Guohui Wu Ouping Deng Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
description	The upstream of Minjiang River is an important ecological barrier and one of the main water sources of the Chengdu Plain and upstream Yangtze River. However the ecological balance is vulnerable in this area. Terrain undulation has a certain impact on vegetation coverage in mountain areas. However, it is not clear how the influence of topography on vegetation coverage changes with pixel scale. This study proposed a framework by combining Discrete Wavelet Transform (DWT) and Geographically Weighted Regression (GWR) to detect the relationships between topography and vegetation in a typical fragile ecological area. The satellite-derived Normalized Difference Vegetation Index (NDVI) and Digital Elevation Model (DEM) were combined to examine the terrain undulation impacts on vegetation coverage at different scales in a small watershed of the Upper Minjiang River. The study results showed that approximate components of NDVI had consistently strong spatial autocorrelation at multi-scale. Elevation and south-facing index of aspect were positively correlated with NDVI, whereas slope was negatively correlated with NDVI. The order of correlation between terrain attributes and NDVI was elevation > aspect > slope. The correlation of NDVI with elevation and slope increased as the decomposition scale increased, whereas the correlation between NDVI and south-facing index of aspect did not show obvious change rule with increasing scale. The spatial heterogeneity of impact degree of elevation decreased as the scale parameter increased, but slope and aspect did not show obviously smoothing effect as the scale parameter increased. The findings will help identifying the favorable topographic position for vegetation growth and its controlling mechanisms and provide a new insight for ecological restoration practices.
format	article
author	Yalan Xiong Yiran Li Shiyao Xiong Guohui Wu Ouping Deng
author_facet	Yalan Xiong Yiran Li Shiyao Xiong Guohui Wu Ouping Deng
author_sort	Yalan Xiong
title	Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
title_short	Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
title_full	Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
title_fullStr	Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
title_full_unstemmed	Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River
title_sort	multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper minjiang river
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c208391eeadc46fdb771951fbe07a68d
work_keys_str_mv	AT yalanxiong multiscalespatialcorrelationbetweenvegetationindexandterrainattributesinasmallwatershedoftheupperminjiangriver AT yiranli multiscalespatialcorrelationbetweenvegetationindexandterrainattributesinasmallwatershedoftheupperminjiangriver AT shiyaoxiong multiscalespatialcorrelationbetweenvegetationindexandterrainattributesinasmallwatershedoftheupperminjiangriver AT guohuiwu multiscalespatialcorrelationbetweenvegetationindexandterrainattributesinasmallwatershedoftheupperminjiangriver AT oupingdeng multiscalespatialcorrelationbetweenvegetationindexandterrainattributesinasmallwatershedoftheupperminjiangriver
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Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang River

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