Enhancing Sustainability through Ecosystem Services Evaluation: A Case Study of the Mulberry-Dyke and Fish-Pond System in Digang Village

Author:

Tang Shuyang1,Liu Ziwei1,Li Yumei1,Zhou Mingqin1

Affiliation:

1. Collage of Horticultural and Gardening, Yangtze University, Jingzhou 434025, China

Abstract

The Mulberry-Dyke and Fish-Pond System, as a paradigm of traditional Chinese agricultural recycling models, represents a distinct ecosystem. This study focuses on the Mulberry-Dyke and Fish-Pond System in Digang Village, Huzhou, as a typical case. The village serves as a core conservation base for the Huzhou Mulberry-Dyke and Fish-Pond System, hosting the Huzhou Agricultural Science and Technology Development Center’s Academician and Expert Workstation and the world’s only Mulberry-Dyke and Fish-Pond System Visitor Center. These facilities provide strategic guidance for the conservation, development, planning, and inheritance of the Huzhou Mulberry-Dyke and Fish-Pond System. Considering the unique environment and limitations in data acquisition, this study employed the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) to develop an ecosystem service assessment framework encompassing eight aspects and 29 factors assessing the provisioning, regulating, and cultural services of the Mulberry-Dyke and Fish-Pond System. The results indicate that the ecosystem services of the Digang Village Mulberry-Dyke and Fish-Pond System perform at a high level, with cultural services playing a significant role in the overall ecosystem services. The regulating services are relatively weak, highlighting deficiencies in mulberry land management, while the capacity of provisioning services is strong. These findings are crucial for understanding the value of ecosystem services in Digang Village’s Mulberry-Dyke and Fish-Pond System, identifying management shortcomings, and providing direction for future assessments and management. This study also offers a practical and effective assessment method for ecosystem service evaluation at smaller scales, where the targeted approach and the presence of significant ambiguity and uncertainty in data are prominent.

Publisher

MDPI AG

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