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      Vegetation greenness modelling in response to interannual precipitation and temperature changes between 2001 and 2012 in Liao River Basin in Jilin Province, China

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          Abstract

          Background

          Liao River basin in Jilin Province is the place of origin of the Dongliao River. This study gives a comprehensive analysis of the vegetation coverage in the region and provides a potential theoretical basis for ecological restoration.

          Methods

          The seasonal variation of vegetation greenness and dynamics based on the Normalized Difference Vegetation Index (NDVI) in major land cover types in the region was studied. Analyzing the relationship NDVI, temperature and rainfall, we derived a set of predictor variables from 2001 to 2012 using the MODIS Terra level 1 Product (MOD02QKM).

          Results

          The results showed a general increasing trend in NDVI value in the region, while 34.63 % of the region showed degradation. NDVI values begin to rise from April when plants are regreening and they drop in September when temperature are decreasing and the leaves are falling in the study area and temperature was found decreasing during the period of 2001–2012 while rainfall showed an increasing trend. This model could be used to observe the change in vegetation greenness and the dynamic effects of temperature and rainfall.

          Conclusion

          This study provided important data for the environmental protection of the basin area. And we hope to provide scientific analysis for controlling water and soil erosion, maintaining the sustainable productivity of land resources, enhancing the treatment of water pollution and stimulating the virtuous cycle of the ecological system.

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          Most cited references47

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          Increased plant growth in the northern high latitudes from 1981 to 1991

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            Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999

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              Measuring phenological variability from satellite imagery

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                Author and article information

                Contributors
                +86-13664405670 , shuihaizi115@163.com
                +86-0431-8515-9440 , tangjie0724@163.com
                lizhaoyang227@163.com
                lhy334@126.com
                Journal
                Springerplus
                Springerplus
                SpringerPlus
                Springer International Publishing (Cham )
                2193-1801
                26 July 2016
                26 July 2016
                2016
                : 5
                : 1
                : 1173
                Affiliations
                [1 ]Key Lab of Groundwater Resources and Environment, Ministry of Education, Jilin University, 2699 QianJin Street, Changchun, 130012 Jilin People’s Republic of China
                [2 ]College of Environment and Resource, Jilin University, 2699 QianJin Street, Changchun, 130012 Jilin People’s Republic of China
                Article
                2737
                10.1186/s40064-016-2737-9
                4960087
                27512632
                13b1055e-954f-4dde-a597-e92f83b31cbc
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 6 December 2015
                : 1 July 2016
                Funding
                Funded by: National water pollution controll and management technology major projects
                Award ID: 2012 ZX072009
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Uncategorized
                normalized difference vegetation index (ndvi),vegetation greenness,climatic variability,correlation analysis

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