Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association

Measures to characterize the spatial patterns of vegetation change can provide important information for understanding and assessing habitat fragmentation and its causes. This study developed a new framework to assess fragmentation by integrating the spatial patterns of vegetation coverage and its c...

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Autores principales:	Dengqiu Li, Dengsheng Lu, Yan Zhao, Mingxing Zhou, Guangsheng Chen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Time-series MODIS Vegetation change Fragmentation Local indicators of spatial association Giant panda habitat Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/ba78d3a5a68e4affa16277d5499d6b7f
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spelling	oai:doaj.org-article:ba78d3a5a68e4affa16277d5499d6b7f2021-12-01T04:45:53ZSpatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association1470-160X10.1016/j.ecolind.2021.107418https://doaj.org/article/ba78d3a5a68e4affa16277d5499d6b7f2021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000832https://doaj.org/toc/1470-160XMeasures to characterize the spatial patterns of vegetation change can provide important information for understanding and assessing habitat fragmentation and its causes. This study developed a new framework to assess fragmentation by integrating the spatial patterns of vegetation coverage and its change across the giant panda habitat ecosystem of China. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data, we detected the historical vegetation disturbances and used “abrupt,” “gradual,” and “total” to characterize the vegetation change processes from 2000 to 2017. The spatial patterns of vegetation coverage and its change were described by spatial clusters and outliers, and the framework was established to find the potential area for reduction of habitat fragmentation. The results indicated that 1.9% of the study area experienced disturbances during 2000–2017. Most of the disturbed area (78.9%) experienced negative abrupt vegetation change, and the undisturbed area mainly showed an increase in vegetation (85.8%). The spatial clusters of high and low total changes accounted for 22.7% and 18.2% of the study area, respectively. The high change clusters were primarily along the northern and southeastern borders of the giant panda habitat, while the low change clusters spread over the central and southern areas. Considering the spatial patterns of both vegetation coverage and its change, 12.7% of the study area, located mainly in southern Minshan and eastern Qionglaishan, needs careful management to reduce habitat fragmentation. This study provides new insight to understand habitat fragmentation in terms of spatial and temporal characteristics of vegetation status and change, and will benefit future habitat management efforts.Dengqiu LiDengsheng LuYan ZhaoMingxing ZhouGuangsheng ChenElsevierarticleTime-series MODISVegetation changeFragmentationLocal indicators of spatial associationGiant panda habitatEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107418- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Time-series MODIS Vegetation change Fragmentation Local indicators of spatial association Giant panda habitat Ecology QH540-549.5
spellingShingle	Time-series MODIS Vegetation change Fragmentation Local indicators of spatial association Giant panda habitat Ecology QH540-549.5 Dengqiu Li Dengsheng Lu Yan Zhao Mingxing Zhou Guangsheng Chen Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
description	Measures to characterize the spatial patterns of vegetation change can provide important information for understanding and assessing habitat fragmentation and its causes. This study developed a new framework to assess fragmentation by integrating the spatial patterns of vegetation coverage and its change across the giant panda habitat ecosystem of China. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data, we detected the historical vegetation disturbances and used “abrupt,” “gradual,” and “total” to characterize the vegetation change processes from 2000 to 2017. The spatial patterns of vegetation coverage and its change were described by spatial clusters and outliers, and the framework was established to find the potential area for reduction of habitat fragmentation. The results indicated that 1.9% of the study area experienced disturbances during 2000–2017. Most of the disturbed area (78.9%) experienced negative abrupt vegetation change, and the undisturbed area mainly showed an increase in vegetation (85.8%). The spatial clusters of high and low total changes accounted for 22.7% and 18.2% of the study area, respectively. The high change clusters were primarily along the northern and southeastern borders of the giant panda habitat, while the low change clusters spread over the central and southern areas. Considering the spatial patterns of both vegetation coverage and its change, 12.7% of the study area, located mainly in southern Minshan and eastern Qionglaishan, needs careful management to reduce habitat fragmentation. This study provides new insight to understand habitat fragmentation in terms of spatial and temporal characteristics of vegetation status and change, and will benefit future habitat management efforts.
format	article
author	Dengqiu Li Dengsheng Lu Yan Zhao Mingxing Zhou Guangsheng Chen
author_facet	Dengqiu Li Dengsheng Lu Yan Zhao Mingxing Zhou Guangsheng Chen
author_sort	Dengqiu Li
title	Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
title_short	Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
title_full	Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
title_fullStr	Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
title_full_unstemmed	Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association
title_sort	spatial patterns of vegetation coverage change in giant panda habitat based on modis time-series observations and local indicators of spatial association
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ba78d3a5a68e4affa16277d5499d6b7f
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Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association

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