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Evaluation of lake wetland ecotourism resources based on remote sensing ecological index

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Abstract

The quality of ecological environment is not only an important basis for judging the sustainable development of economy but also an important factor to complete the construction of ecological civilization. Therefore, this paper puts forward the application of remote sensing ecological index to evaluate the lake wetland ecotourism resources. In this study, the Manas Lake wetland area in Xinjiang was taken as the research object, and based on the remote sensing ecological index evaluation method, the ecological resources of Manas Lake wetland were evaluated. The results showed that RSEI (Remote Sensing Based Ecological Index) showed a steady upward trend from 2000 to 2016, which reflected that the ecological environment of the study area had been improved in the past 20 years; the area with poor ecological environment condition was 4.02 km2, the area improved was 8.18 km2, and the area with little change or unchanged was 3543 km2; the area around the downstream corridor was the main area with poor ecological quality, around the lake, and far away surrounding the area for improvement. Climate change and human activities have a common effect on the ecological environment of Manas Lake wetland. Increasing human activities are the main reason for wetland degradation. Over the years, extensive agricultural development has caused serious imbalance among population, economy, and ecological environment in Manas River Basin. From the perspective of optimizing the allocation of water resources, it is proposed that the ecological value and sustainable development of tail lake wetland should be paid attention to while the large-scale development of water and soil resources in the main source river basins.

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Correspondence to Yuguang Wang.

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Responsible Editor: Keda Cai

This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis

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Wang, Y. Evaluation of lake wetland ecotourism resources based on remote sensing ecological index. Arab J Geosci 14, 559 (2021). https://doi.org/10.1007/s12517-021-06892-z

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  • DOI: https://doi.org/10.1007/s12517-021-06892-z

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