Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data

The Qinling-Daba Mountains region (Qinba) is an important geographical transitional zone across the north and south of China. To comprehensively understand the ecological transition in the Qinba over past two decades, this study assessed and predicted the spatiotemporal variations of vegetation comp...

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Autor principal:	Yan Bai
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation indices Spatiotemporal variation Trend analysis Vegetation types MODIS Qinling-Daba Mountains region Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4def0357389e4b4f9937bc164355936b
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spelling	oai:doaj.org-article:4def0357389e4b4f9937bc164355936b2021-12-01T04:58:14ZAnalysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data1470-160X10.1016/j.ecolind.2021.108029https://doaj.org/article/4def0357389e4b4f9937bc164355936b2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006944https://doaj.org/toc/1470-160XThe Qinling-Daba Mountains region (Qinba) is an important geographical transitional zone across the north and south of China. To comprehensively understand the ecological transition in the Qinba over past two decades, this study assessed and predicted the spatiotemporal variations of vegetation comparatively, using 250-m time series MODIS NDVI and EVI products. From 2000 to 2019, remarkable increases were observed both in annual and seasonal NDVI and EVI (P < 0.05), and the increasing rate of NDVI was higher than that of EVI for all temporal scales, except summer. Compared to NDVI, larger areas of no significant change were obtained in annual, autumn, and winter EVI, primarily distributed in the high-altitude regions of western Qinba. All assessed vegetation types increased significantly during past two decades except alpine vegetation and marsh, however, the seasons in which the significant increase in NDVI and EVI occurred varied for different vegetation types. Hurst exponent analysis suggested that inconsistent characteristics of vegetation dynamic trends were stronger in the future across Qinba. The area proportion of unfavorable trends, identified mainly covered with cultivated vegetation and scrub, was much larger than that of favorable trends, especially detected by EVI. Areas likely to experience vegetation variation of unfavorable and undetermined trends deserve high focus.Yan BaiElsevierarticleVegetation indicesSpatiotemporal variationTrend analysisVegetation typesMODISQinling-Daba Mountains regionEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 108029- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation indices Spatiotemporal variation Trend analysis Vegetation types MODIS Qinling-Daba Mountains region Ecology QH540-549.5
spellingShingle	Vegetation indices Spatiotemporal variation Trend analysis Vegetation types MODIS Qinling-Daba Mountains region Ecology QH540-549.5 Yan Bai Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
description	The Qinling-Daba Mountains region (Qinba) is an important geographical transitional zone across the north and south of China. To comprehensively understand the ecological transition in the Qinba over past two decades, this study assessed and predicted the spatiotemporal variations of vegetation comparatively, using 250-m time series MODIS NDVI and EVI products. From 2000 to 2019, remarkable increases were observed both in annual and seasonal NDVI and EVI (P < 0.05), and the increasing rate of NDVI was higher than that of EVI for all temporal scales, except summer. Compared to NDVI, larger areas of no significant change were obtained in annual, autumn, and winter EVI, primarily distributed in the high-altitude regions of western Qinba. All assessed vegetation types increased significantly during past two decades except alpine vegetation and marsh, however, the seasons in which the significant increase in NDVI and EVI occurred varied for different vegetation types. Hurst exponent analysis suggested that inconsistent characteristics of vegetation dynamic trends were stronger in the future across Qinba. The area proportion of unfavorable trends, identified mainly covered with cultivated vegetation and scrub, was much larger than that of favorable trends, especially detected by EVI. Areas likely to experience vegetation variation of unfavorable and undetermined trends deserve high focus.
format	article
author	Yan Bai
author_facet	Yan Bai
author_sort	Yan Bai
title	Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
title_short	Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
title_full	Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
title_fullStr	Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
title_full_unstemmed	Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data
title_sort	analysis of vegetation dynamics in the qinling-daba mountains region from modis time series data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4def0357389e4b4f9937bc164355936b
work_keys_str_mv	AT yanbai analysisofvegetationdynamicsintheqinlingdabamountainsregionfrommodistimeseriesdata
_version_	1718405659802730496

Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data

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