Dynamic Change and Prediction of Vegetation Coverage in Huoshan County of Anhui Province

CHENG Xian-fu; ZHANG Fang-fang; DENG Liang; YANG Wei-wei; WANG Shi-chen; XU Guang-lai

doi:10.13961/j.cnki.stbctb.2014.04.033

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Dynamic Change and Prediction of Vegetation Coverage in Huoshan County of Anhui Province

- Dynamic Change and Prediction of Vegetation Coverage in Huoshan County of Anhui Province
- Bulletin of Soiland Water Conservation Vol. 33, Issue 4, Pages: 104-109(2014)
- 作者机构：
  
  1. 安徽师范大学国土资源与旅游学院,安徽,芜湖,241003
  2. 安徽自然灾害过程与防控研究省级实验室,安徽,芜湖,241003
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.04.033
  CLC：
- Published：2014
- 稿件说明：
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CHENG Xian-fu, ZHANG Fang-fang, DENG Liang, et al. Dynamic Change and Prediction of Vegetation Coverage in Huoshan County of Anhui Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 104-109.
DOI：

CHENG Xian-fu, ZHANG Fang-fang, DENG Liang, et al. Dynamic Change and Prediction of Vegetation Coverage in Huoshan County of Anhui Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 104-109. DOI： 10.13961/j.cnki.stbctb.2014.04.033.

摘要

基于1994

2000

2006和2011年4个时期的Landsat TM/ETM

遥感影像数据

应用像元二分模型和CA-Markov模型对安徽省霍山县植被覆盖度的时空变化进行了分析。结果表明

霍山县植被覆盖度总体分布特征是东北部植被覆盖度较小

南部、西北部较大;1994-2011年该县植被覆盖状况呈明显的上升趋势

高植被覆盖度的面积增加了339.91 km

中低植被覆盖度、低植被覆盖度、裸地的面积分别减少了116.15

63.34和20.29 km

;CA-Markov模型可较好地预测2020年植被覆盖度的空间分布格局;霍山县植被覆盖状况的改善是人类活动和气候变化共同作用的结果。优化产业结构

防治水土流失是研究区生态环境建设的重点。

Abstract

Based on the American Landsat TM/ETM+ remote sensing image data in 1994

2000

2006 and 2011

using dimidiate pixel model and CA-Markov model

spatial and temporal change and its trend and influence factors on vegetation coverage in Huoshan County of Anhui Province were analyzed. The results show that vegetation coverage are smaller in northeast area

and larger in the south and northwest area. Vegetation coverage condition has a significant upward trend from 1994 to 2011. High vegetation coverage area increased 339.91 km2. Middle-low vegetation coverage

the low vegetation coverage and bare land decreased 116.15

63.34 and 20.29 km2

respectively. Spatial distribution pattern of vegetation coverage in 2020 can be better predicted by using CA-Markov model. Human activity and climate change made the increase of the vegetation coverage in Huoshan County

and the effect of human activity is very obvious. Optimization of industrial structure and controlling of soil and water loss are the focus of ecological environment construction in the study area.

关键词

Keywords

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