Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

As an important part of a terrestrial ecosystem, vegetation plays an important role in the global carbon-water cycle and energy flow. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological station data,...

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Main Authors: Rui Sun, Shaohui Chen, Hongbo Su
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/2/187
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spelling doaj-3e43b2c585a34a6c8065c37d7b935b552021-01-08T00:04:30ZengMDPI AGRemote Sensing2072-42922021-01-011318718710.3390/rs13020187Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015Rui Sun0Shaohui Chen1Hongbo Su2Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USAAs an important part of a terrestrial ecosystem, vegetation plays an important role in the global carbon-water cycle and energy flow. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological station data, climate reanalysis data, and land cover data, this study analyzed the climate dynamics of the spatiotemporal variations of vegetation NDVI in northern China from 1982 to 2015. The results showed that growth season NDVI (NDVI<sub>gs</sub>) increased significantly at 0.006/10a (<i>p</i> < 0.01) in 1982–2015 on the regional scale. The period from 1982 to 2015 was divided into three periods: the NDVI<sub>gs</sub> increased by 0.026/10a (<i>p</i> < 0.01) in 1982–1990, decreased by −0.002/10a (<i>p</i> > 0.1) in 1990–2006, and then increased by 0.021/10a (<i>p</i> < 0.01) during 2006–2015. On the pixel scale, the increases in NDVI<sub>gs</sub> during 1982–2015, 1982–1990, 1990–2006, and 2006–2015 accounted for 74.64%, 85.34%, 48.14%, and 68.78% of the total area, respectively. In general, the dominant climate drivers of vegetation growth had gradually switched from solar radiation, temperature, and precipitation (1982–1990) to precipitation and temperature (1990–2015). For woodland, high coverage grassland, medium coverage grassland, low coverage grassland, the dominant climate drivers had changed from temperature and solar radiation, solar radiation and precipitation, precipitation and solar radiation, solar radiation to precipitation and solar radiation, precipitation, precipitation and temperature, temperature and precipitation. The areas controlled by precipitation increased significantly, mainly distributed in arid, sub-arid, and sub-humid areas. The dominant climate drivers for vegetation growth in the plateau climate zone or high-altitude area changed from solar radiation to temperature and precipitation, and then to temperature, while in cold temperate zone, changed from temperature to solar radiation. These results are helpful to understand the climate dynamics of vegetation growth, and have important guiding significance for vegetation protection and restoration in the context of global climate change.https://www.mdpi.com/2072-4292/13/2/187GIMMS NDVI3gvegetation growthclimate dynamicspiecewise linear regression
collection DOAJ
language English
format Article
sources DOAJ
author Rui Sun
Shaohui Chen
Hongbo Su
spellingShingle Rui Sun
Shaohui Chen
Hongbo Su
Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
Remote Sensing
GIMMS NDVI3g
vegetation growth
climate dynamics
piecewise linear regression
author_facet Rui Sun
Shaohui Chen
Hongbo Su
author_sort Rui Sun
title Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
title_short Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
title_full Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
title_fullStr Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
title_full_unstemmed Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015
title_sort climate dynamics of the spatiotemporal changes of vegetation ndvi in northern china from 1982 to 2015
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-01-01
description As an important part of a terrestrial ecosystem, vegetation plays an important role in the global carbon-water cycle and energy flow. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological station data, climate reanalysis data, and land cover data, this study analyzed the climate dynamics of the spatiotemporal variations of vegetation NDVI in northern China from 1982 to 2015. The results showed that growth season NDVI (NDVI<sub>gs</sub>) increased significantly at 0.006/10a (<i>p</i> < 0.01) in 1982–2015 on the regional scale. The period from 1982 to 2015 was divided into three periods: the NDVI<sub>gs</sub> increased by 0.026/10a (<i>p</i> < 0.01) in 1982–1990, decreased by −0.002/10a (<i>p</i> > 0.1) in 1990–2006, and then increased by 0.021/10a (<i>p</i> < 0.01) during 2006–2015. On the pixel scale, the increases in NDVI<sub>gs</sub> during 1982–2015, 1982–1990, 1990–2006, and 2006–2015 accounted for 74.64%, 85.34%, 48.14%, and 68.78% of the total area, respectively. In general, the dominant climate drivers of vegetation growth had gradually switched from solar radiation, temperature, and precipitation (1982–1990) to precipitation and temperature (1990–2015). For woodland, high coverage grassland, medium coverage grassland, low coverage grassland, the dominant climate drivers had changed from temperature and solar radiation, solar radiation and precipitation, precipitation and solar radiation, solar radiation to precipitation and solar radiation, precipitation, precipitation and temperature, temperature and precipitation. The areas controlled by precipitation increased significantly, mainly distributed in arid, sub-arid, and sub-humid areas. The dominant climate drivers for vegetation growth in the plateau climate zone or high-altitude area changed from solar radiation to temperature and precipitation, and then to temperature, while in cold temperate zone, changed from temperature to solar radiation. These results are helpful to understand the climate dynamics of vegetation growth, and have important guiding significance for vegetation protection and restoration in the context of global climate change.
topic GIMMS NDVI3g
vegetation growth
climate dynamics
piecewise linear regression
url https://www.mdpi.com/2072-4292/13/2/187
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AT shaohuichen climatedynamicsofthespatiotemporalchangesofvegetationndviinnorthernchinafrom1982to2015
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