Analysis of acid rain effects on vegetation in eco-regions in China based on AVHRR/NDVI

Jiaxin Jin; Hong Jiang; Xiuying Zhang; Xiaobin Xu

doi:10.1117/12.910415

15 August 2011 Analysis of acid rain effects on vegetation in eco-regions in China based on AVHRR/NDVI

Jiaxin Jin, Hong Jiang, Xiuying Zhang, Xiaobin Xu

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030Z (2011) https://doi.org/10.1117/12.910415
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

Abstract

The vegetation, as the main component of the ecosystems, is the main receptor of acid rain pollution. Because of the discrepancy of the vegetation characteristics and environment, the responses of the different types of vegetation to acid rain in different regions are different. In this paper, we chose 9 eco-regions in southern China as study area, based on the acid rain and NOAA/NDVI data from 1992 to 2006, and revealed the impact of acid rain on the vegetation by using spatial interpolation, cluster analysis and curve fitting. The result shows that the most tropical and subtropical moist broadleaf forests were positively correlated with the acidity of precipitation and the growth was inhibited obviously. On the contrary, the growth of temperate coniferous forests was promoted by acid rain to some extent. In generally, the vegetation in the condition of the weak acid rain grew better, especially the Qin Ling Mountains deciduous forests and the Changjiang Plain evergreen forests. For South China-Vietnam subtropical evergreen forest, Yunnan Plateau subtropical evergreen forests and Qionglai-Minshan conifer forests, the significant difference of NDVI between the different gradients of acid rain lasted almost the whole year, while that of the other eco-regions only appeared most obviously in Winter.

Citation Download Citation

Jiaxin Jin, Hong Jiang, Xiuying Zhang, and Xiaobin Xu "Analysis of acid rain effects on vegetation in eco-regions in China based on AVHRR/NDVI", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030Z (15 August 2011); https://doi.org/10.1117/12.910415

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KEYWORDS

Vegetation

Ecosystems

Meteorology

Pollution

Error analysis

Receptors

Remote sensing

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