Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
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|
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Article Number | 04015 | |
Number of page(s) | 8 | |
Section | Environmental Protection, Pollution and Treatment | |
DOI | https://doi.org/10.1051/e3sconf/201911804015 | |
Published online | 04 October 2019 |
Evaluate the spatio-temporal changes of vegetation and human activities in China’s Wulingyuan Natural World Heritage Site
1
Tongji University, Shanghai 201800, China
2
Tongji University, Shanghai 201800, China
* Corresponding author: 04018@tongji.edu.cn
The Wulingyuan area, in Zhangjiajie, China, is a world natural heritage site famous for quartz sand and rock peak landscape. The assessment of vegetation dynamics and human activities are conducive to protecting the heritage value and to formulating sustainable development plans. Here, we use long-term MODIS data to quantify the spatiotemporal changes of vegetation and the response to environmental variables through three NDVI processing methods. We also analyze human activities and policy changes. The results indicated the following. (i) The vegetation in Wu has been in good condition on average for the past 18 years, with a high vegetation index and high vegetation productivity. (ii) The vegetation in Wu and each subarea shows an overall improvement trend, 71.00% (60.03%, 46.80%), and shows an increase in AM-NDVI (SG-NDVI and STI). Spatially, the vegetation increase area is mainly located in the buffer area, and a very small vegetation decrease area is in the development region. (iii) There are correlations between vegetation and temperature and precipitation, but neither of them passed the significance test. (iv)To comply with the World Heritage Convention, establishing national scenic areas and supplementing woodland protection planning may be the key policies having a positive effect on the vegetation change.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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