沅江源自然保护区生境质量变化遥感监测

doi:10.19741/j.issn.1673-4831.2018.0442

Abstract

Abstract:

In nature reserve, monitoring habitat quality changes by remote sensing technology is of great significance to regional ecological protection policies making. Taking the Yuanjiangyuan Nature Reserve in Guizhou Province as an example, combining Fragstats 4. 2 with InVEST 3. 4. 4 software, land use changes and landscape patterns were analyzed based on Landsat-5 TM images, Landsat-7 ETM+ images and Landsat-8 OLI images from 1990 to 2018. Then, the habitat quality changes were explored and validity of the functional zoning was assessed. Finally, habitat quality improvement affected by ecological protection scenarios was simulated. Results showed that:from 1990 to 2018, forest, constructed land and wetland in nature reserve increased, while grassland, other types and cultivated land decreased. The land transformation of reserve mainly occurred from grassland to forest, cultivated land to forest and cultivated land to grassland. As integrated degree of land use increased, the impact of human activities was gradually increasing. The integrated degree of land use was in the order of the core area < buffer area < pilot area during the past 29 years. The clumpy of cultivated land and the patch density of artificial land increased in reserve. Increase of landscape advantage of patch connectivity led to decrease of the fragmentation. Forest patch controlled landscape pattern. The average habitat quality showed a fluctuating increase trend from 1990 to 2018, which increased by 8. 64% than those in 1990. The average habitat quality was in the order of the core area > buffer area > pilot area in the past 29 years. The trend of habitat quality improvement was greater than that of degradation in nature reserves. Under the ecological protection scenario, the average habitat quality of the reserve increased from 0. 88 to 0. 90. The implementation of Green for Grain plan and the increase of human activities were the main reasons for the changes of the habitat quality.

Key words: Landsat images, landscape pattern, InVEST model, habitat quality, habitat quality contribution rate, Yuanjiangyuan Nature Reserve

CLC Number:

GU Yang-yang, HUANG Xian-feng, ZOU Chang-xin, YE Xin, LIN Nai-feng, ZHANG Wei-ming. Monitoring Habitat Quality Changes in Yuanjiangyuan Nature Reserve Based on Landsat Images[J]. Journal of Ecology and Rural Environment, 2019, 35(6): 764-772.

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Monitoring Habitat Quality Changes in Yuanjiangyuan Nature Reserve Based on Landsat Images

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