Research on optimization of ecosystem service function in mudslide disaster area by landscape ecological engineering technology

Author:

Li Juanwen1

Affiliation:

1. 1 Royal Melbourne Institute of Technology Landscaper Architecture , Melbourne, 3000, Australia .

Abstract

Abstract At present, the prevention and control of mudslide disasters are mainly based on geotechnical engineering measures, supplemented by landscape and ecological engineering measures, ignoring the important role of ecological prevention and control engineering in mudslide management. In this paper, the Bailong River Basin is taken as the main research object at the macro scale, supplemented by the municipal districts along the route as the typical mudslide disaster research area at the meso and micro scales. The InVEST model was utilized to evaluate the ecological service functions of each land and pinpoint the sensitive areas that are influencing the evolution of ecological service functions. The quantitative regulation model for landscape ecological integrated planning in the mudslide disaster area was proposed from the perspective of ecological disaster prevention and mitigation through landscape ecological engineering technology. Combined with the successful case of landscape ecological regulation in Region X, it was found that the AWMSI index of the region increased from 56.78 to 79.03 during the regulation period, and the diversity of patches within the landscape was enhanced, which was favorable to species exchange and biodiversity conservation. The mean value of the Habitat Quality Index (HQI) increased from 0.6147 to 0.6579, and the overall level of habitat quality was improved. The annual growth rate of MPI was 0.0002 with a slow growth rate, but the growth rate of MPI increased significantly with the further increase of restoration years. The study's findings can be utilized as a scientific basis for landscape ecological engineering and can also serve as a reference for disaster prevention and ecological restoration in mudflow basins with high activity.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3