Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain

Qinling Mountains is the north–south boundary of China’s geography; the vegetation changes are of great significance to the survival of wildlife and the protection of species habitats. Based on Landsat products in the Google Earth Engine (GEE) platform, Pearson’s correlation coefficient method, and...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chenlu Huang, Qinke Yang, Hui Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Qinling Mountain precipitation temperature NDVI GEE Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/91841a9a590a49a4be77da82e6e404a5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:91841a9a590a49a4be77da82e6e404a5
record_format	dspace
spelling	oai:doaj.org-article:91841a9a590a49a4be77da82e6e404a52021-11-25T19:14:50ZTemporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain10.3390/w132231542073-4441https://doaj.org/article/91841a9a590a49a4be77da82e6e404a52021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3154https://doaj.org/toc/2073-4441Qinling Mountains is the north–south boundary of China’s geography; the vegetation changes are of great significance to the survival of wildlife and the protection of species habitats. Based on Landsat products in the Google Earth Engine (GEE) platform, Pearson’s correlation coefficient method, and classification and regression models, this study analyzed the changes in NDVI (Normalized Difference Vegetation Index) in the Qinling Mountains in the past 38 years and the sensitivity of its driving factors. Finally, residual analysis method and accumulate slope change rate are used to identify the impact of human activities and climate change on NDVI. The research results show the following: (1) The NDVI value in most areas of Qinling Mountains is at a medium-to-high level, and 99.76% of the areas correspond to an increasing trend of NDVI, and the significantly increased area accounts for more than 20%. (2) From 1981 to 2019, the NDVI of the Qinling Mountains increased from 0.63 to 0.78, showing an overall upward trend, and it increased significantly after 2006. (3) Sensitivity analysis results show that the western high-altitude area of Qinling Mountain area dominated by grassland is mainly affected by precipitation. The central and southeastern parts of the Qinling Mountains are significantly affected by temperature, and they are mainly distributed in areas dominated by forest. (4) The contribution rates of climate change and human activities to NDVI are 36.04% and 63.96%, respectively. Among them, the positive impact of human activities on the NDVI of the Qinling Mountains accounted for 99.85% of the area. The area with significant positive effect accounted for 36.49%. The significant negative effect area accounts for only 0.006%, mainly distributed in urban areas and coal mining areas.Chenlu HuangQinke YangHui ZhangMDPI AGarticleQinling MountainprecipitationtemperatureNDVIGEEHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3154, p 3154 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Qinling Mountain precipitation temperature NDVI GEE Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	Qinling Mountain precipitation temperature NDVI GEE Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Chenlu Huang Qinke Yang Hui Zhang Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
description	Qinling Mountains is the north–south boundary of China’s geography; the vegetation changes are of great significance to the survival of wildlife and the protection of species habitats. Based on Landsat products in the Google Earth Engine (GEE) platform, Pearson’s correlation coefficient method, and classification and regression models, this study analyzed the changes in NDVI (Normalized Difference Vegetation Index) in the Qinling Mountains in the past 38 years and the sensitivity of its driving factors. Finally, residual analysis method and accumulate slope change rate are used to identify the impact of human activities and climate change on NDVI. The research results show the following: (1) The NDVI value in most areas of Qinling Mountains is at a medium-to-high level, and 99.76% of the areas correspond to an increasing trend of NDVI, and the significantly increased area accounts for more than 20%. (2) From 1981 to 2019, the NDVI of the Qinling Mountains increased from 0.63 to 0.78, showing an overall upward trend, and it increased significantly after 2006. (3) Sensitivity analysis results show that the western high-altitude area of Qinling Mountain area dominated by grassland is mainly affected by precipitation. The central and southeastern parts of the Qinling Mountains are significantly affected by temperature, and they are mainly distributed in areas dominated by forest. (4) The contribution rates of climate change and human activities to NDVI are 36.04% and 63.96%, respectively. Among them, the positive impact of human activities on the NDVI of the Qinling Mountains accounted for 99.85% of the area. The area with significant positive effect accounted for 36.49%. The significant negative effect area accounts for only 0.006%, mainly distributed in urban areas and coal mining areas.
format	article
author	Chenlu Huang Qinke Yang Hui Zhang
author_facet	Chenlu Huang Qinke Yang Hui Zhang
author_sort	Chenlu Huang
title	Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
title_short	Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
title_full	Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
title_fullStr	Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
title_full_unstemmed	Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain
title_sort	temporal and spatial variation of ndvi and its driving factors in qinling mountain
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/91841a9a590a49a4be77da82e6e404a5
work_keys_str_mv	AT chenluhuang temporalandspatialvariationofndvianditsdrivingfactorsinqinlingmountain AT qinkeyang temporalandspatialvariationofndvianditsdrivingfactorsinqinlingmountain AT huizhang temporalandspatialvariationofndvianditsdrivingfactorsinqinlingmountain
_version_	1718410106549305344

Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain

Ejemplares similares