Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China

Land surface phenology (LSP), as a precise bio-indicator that responds to climate change, has received much attention in fields concerned with climate change and ecology. Yet, the dynamics of LSP changes in the Qinling Mountains (QMs)—A transition zone between warm-temperate and north subtropical cl...

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Autores principales:	Jiaqi Guo, Xiaohong Liu, Wensen Ge, Xiaofeng Ni, Wenyuan Ma, Qiangqiang Lu, Xiaoyu Xing
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	land surface phenology NDVI spatiotemporal dynamics different drivers random forest model Science Q
Acceso en línea:	https://doaj.org/article/fd4675f80fcb4287865afad553020c17
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spelling	oai:doaj.org-article:fd4675f80fcb4287865afad553020c172021-11-25T18:54:03ZSpecific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China10.3390/rs132245382072-4292https://doaj.org/article/fd4675f80fcb4287865afad553020c172021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4538https://doaj.org/toc/2072-4292Land surface phenology (LSP), as a precise bio-indicator that responds to climate change, has received much attention in fields concerned with climate change and ecology. Yet, the dynamics of LSP changes in the Qinling Mountains (QMs)—A transition zone between warm-temperate and north subtropical climates with complex vegetation structure—under significant climatic environmental evolution are unclear. Here, we analyzed the spatiotemporal dynamics of LSP for different vegetation types in the QMs from 2001 to 2019 and quantified the degree of influence of meteorological factors (temperature, precipitation, and shortwave radiation), and soil (temperature and moisture), and biological factors (maximum of NDVI and middle date during the growing season) on LSP changes using random forest models. The results show that there is an advanced trend (0.15 days/year) for the start of the growing season (SOS), a delayed trend (0.24 days/year) for the end of the growing season (EOS), and an overall extended trend (0.39 days/year) for the length of the growing season (LOS) in the QMs over the past two decades. Advanced SOS and delayed EOS were the dominant patterns leading to a lengthened vegetation growing season, followed by a joint delay of SOS and EOS, and the latter was particularly common in shrub and evergreen broadleaved forests. The growth season length increased significantly in western QMs. Furthermore, we confirmed that meteorological factors are the main factors affecting the interannual variations in SOS and EOS, especially the meteorological factor of preseason mean shortwave radiation (SWP). The grass and crop are most influenced by SWP. The soil condition has, overall, a minor influence the regional LSP. This study highlighted the specificity of different vegetation growth in the QMs under warming, which should be considered in the accurate prediction of vegetation growth in the future.Jiaqi GuoXiaohong LiuWensen GeXiaofeng NiWenyuan MaQiangqiang LuXiaoyu XingMDPI AGarticleland surface phenologyNDVIspatiotemporal dynamicsdifferent driversrandom forest modelScienceQENRemote Sensing, Vol 13, Iss 4538, p 4538 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	land surface phenology NDVI spatiotemporal dynamics different drivers random forest model Science Q
spellingShingle	land surface phenology NDVI spatiotemporal dynamics different drivers random forest model Science Q Jiaqi Guo Xiaohong Liu Wensen Ge Xiaofeng Ni Wenyuan Ma Qiangqiang Lu Xiaoyu Xing Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
description	Land surface phenology (LSP), as a precise bio-indicator that responds to climate change, has received much attention in fields concerned with climate change and ecology. Yet, the dynamics of LSP changes in the Qinling Mountains (QMs)—A transition zone between warm-temperate and north subtropical climates with complex vegetation structure—under significant climatic environmental evolution are unclear. Here, we analyzed the spatiotemporal dynamics of LSP for different vegetation types in the QMs from 2001 to 2019 and quantified the degree of influence of meteorological factors (temperature, precipitation, and shortwave radiation), and soil (temperature and moisture), and biological factors (maximum of NDVI and middle date during the growing season) on LSP changes using random forest models. The results show that there is an advanced trend (0.15 days/year) for the start of the growing season (SOS), a delayed trend (0.24 days/year) for the end of the growing season (EOS), and an overall extended trend (0.39 days/year) for the length of the growing season (LOS) in the QMs over the past two decades. Advanced SOS and delayed EOS were the dominant patterns leading to a lengthened vegetation growing season, followed by a joint delay of SOS and EOS, and the latter was particularly common in shrub and evergreen broadleaved forests. The growth season length increased significantly in western QMs. Furthermore, we confirmed that meteorological factors are the main factors affecting the interannual variations in SOS and EOS, especially the meteorological factor of preseason mean shortwave radiation (SWP). The grass and crop are most influenced by SWP. The soil condition has, overall, a minor influence the regional LSP. This study highlighted the specificity of different vegetation growth in the QMs under warming, which should be considered in the accurate prediction of vegetation growth in the future.
format	article
author	Jiaqi Guo Xiaohong Liu Wensen Ge Xiaofeng Ni Wenyuan Ma Qiangqiang Lu Xiaoyu Xing
author_facet	Jiaqi Guo Xiaohong Liu Wensen Ge Xiaofeng Ni Wenyuan Ma Qiangqiang Lu Xiaoyu Xing
author_sort	Jiaqi Guo
title	Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
title_short	Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
title_full	Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
title_fullStr	Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
title_full_unstemmed	Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China
title_sort	specific drivers and responses to land surface phenology of different vegetation types in the qinling mountains, central china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fd4675f80fcb4287865afad553020c17
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Specific Drivers and Responses to Land Surface Phenology of Different Vegetation Types in the Qinling Mountains, Central China

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