Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations

Analysis focused on sub-regional differentiation of vegetation greenness and their dominant drivers are needed to properly develop targeted strategies for sustainable management. In this study, we took China as a case study area, and analyzed the spatiotemporal heterogeneity of vegetation greenness...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Huan Wang, Shijie Yan, Ze Liang, Kewei Jiao, Delong Li, Feili Wei, Shuangcheng Li
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation greenness Regional difference Temporal dynamic Quantitative attribution Strength of association GeoDetector method Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/670ba4bb29064eb7ae62742cf286406f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:670ba4bb29064eb7ae62742cf286406f
record_format	dspace
spelling	oai:doaj.org-article:670ba4bb29064eb7ae62742cf286406f2021-12-01T04:54:09ZStrength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations1470-160X10.1016/j.ecolind.2021.107831https://doaj.org/article/670ba4bb29064eb7ae62742cf286406f2021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004969https://doaj.org/toc/1470-160XAnalysis focused on sub-regional differentiation of vegetation greenness and their dominant drivers are needed to properly develop targeted strategies for sustainable management. In this study, we took China as a case study area, and analyzed the spatiotemporal heterogeneity of vegetation greenness and its strength of association with both environmental (topographical factors and hydrothermal conditions) and anthropogenic factors (land use type and population density) across six eco-geographic regions during 1982–2015. The whole period was divided into two periods by the turning point of 1998, after which China has implemented numerous forest protection projects. The attribution results based on the Geodetector method show the followings: (1) In China, precipitation is the dominant factor in landscape variation of Normalized Difference Vegetation Index (NDVI) with a strength of association of 85%. Additionally, precipitation is also the dominant factor in arid and semi-arid regions, including Northern semiarid (NS) region, Northwestern arid (NWA) region and Qinghai-Tibet Plateau (QTP) region. The dominant factors differ across diverse eco-geographic regions; for example, slope dominates in sub-tropical/tropical humid (STH) and middle temperate humid/sub-humid (MTH) regions. (2) Generally, the strength of association between vegetation and temperature decreases across China over the past 34 years, meaning that the limiting effect of temperature on the NDVI is weakened, similarly, the controlling effect of water conditions is also weakened. In contrast, the spatial association between anthropogenic factors and NDVI is enhanced. (3) The temporal dynamics of strength of association between factors and the NDVI differ in diverse periods and regions; for example, the strength of association between wind speed and NDVI decreased during 1982–1998, but increased during 1999–2015 in temperate humid/sub-humid (WTH) region; however, decreasing trends were revealed in the QTP region in both periods. Our study highlights that variation of NDVI is mainly attributed to climate change and land cover change. Generally, the limiting impact of hydrothermal conditions on NDVI weakens, and the controlling effect of human activity increases over time.Huan WangShijie YanZe LiangKewei JiaoDelong LiFeili WeiShuangcheng LiElsevierarticleVegetation greennessRegional differenceTemporal dynamicQuantitative attributionStrength of associationGeoDetector methodEcologyQH540-549.5ENEcological Indicators, Vol 128, Iss , Pp 107831- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation greenness Regional difference Temporal dynamic Quantitative attribution Strength of association GeoDetector method Ecology QH540-549.5
spellingShingle	Vegetation greenness Regional difference Temporal dynamic Quantitative attribution Strength of association GeoDetector method Ecology QH540-549.5 Huan Wang Shijie Yan Ze Liang Kewei Jiao Delong Li Feili Wei Shuangcheng Li Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
description	Analysis focused on sub-regional differentiation of vegetation greenness and their dominant drivers are needed to properly develop targeted strategies for sustainable management. In this study, we took China as a case study area, and analyzed the spatiotemporal heterogeneity of vegetation greenness and its strength of association with both environmental (topographical factors and hydrothermal conditions) and anthropogenic factors (land use type and population density) across six eco-geographic regions during 1982–2015. The whole period was divided into two periods by the turning point of 1998, after which China has implemented numerous forest protection projects. The attribution results based on the Geodetector method show the followings: (1) In China, precipitation is the dominant factor in landscape variation of Normalized Difference Vegetation Index (NDVI) with a strength of association of 85%. Additionally, precipitation is also the dominant factor in arid and semi-arid regions, including Northern semiarid (NS) region, Northwestern arid (NWA) region and Qinghai-Tibet Plateau (QTP) region. The dominant factors differ across diverse eco-geographic regions; for example, slope dominates in sub-tropical/tropical humid (STH) and middle temperate humid/sub-humid (MTH) regions. (2) Generally, the strength of association between vegetation and temperature decreases across China over the past 34 years, meaning that the limiting effect of temperature on the NDVI is weakened, similarly, the controlling effect of water conditions is also weakened. In contrast, the spatial association between anthropogenic factors and NDVI is enhanced. (3) The temporal dynamics of strength of association between factors and the NDVI differ in diverse periods and regions; for example, the strength of association between wind speed and NDVI decreased during 1982–1998, but increased during 1999–2015 in temperate humid/sub-humid (WTH) region; however, decreasing trends were revealed in the QTP region in both periods. Our study highlights that variation of NDVI is mainly attributed to climate change and land cover change. Generally, the limiting impact of hydrothermal conditions on NDVI weakens, and the controlling effect of human activity increases over time.
format	article
author	Huan Wang Shijie Yan Ze Liang Kewei Jiao Delong Li Feili Wei Shuangcheng Li
author_facet	Huan Wang Shijie Yan Ze Liang Kewei Jiao Delong Li Feili Wei Shuangcheng Li
author_sort	Huan Wang
title	Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
title_short	Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
title_full	Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
title_fullStr	Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
title_full_unstemmed	Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations
title_sort	strength of association between vegetation greenness and its drivers across china between 1982 and 2015: regional differences and temporal variations
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/670ba4bb29064eb7ae62742cf286406f
work_keys_str_mv	AT huanwang strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT shijieyan strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT zeliang strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT keweijiao strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT delongli strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT feiliwei strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations AT shuangchengli strengthofassociationbetweenvegetationgreennessanditsdriversacrosschinabetween1982and2015regionaldifferencesandtemporalvariations
_version_	1718405664607305728

Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: Regional differences and temporal variations

Ejemplares similares