Search Results (2)

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. Full article

Mulberry-dyke-fish pond ecosystems are a representative traditional eco-agriculture in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). Investigations about the changes in the systems and their relevant water environments under the background of rapid urbanization can provide valuable information to formulate sustainable protection and development strategies. Using the Landsat images obtained after 1986, this study combined supervised classification and visual interpretation approaches, as well as water intensity index and synthesized index to identify the spatial patterns of changes in the ponds in the GBA over the past 40 years. The results indicated that during the period 1986–2013, the total surface area of the ponds in the GBA increased significantly and peaked in 2013 with a total increase of 84.63%; After that, the total surface area showed a downward trend with a total decrease of approximately 31.34%. The year of 2013 was identified as the milestone of the changes. The results proved that human activities have continuously influenced the spatial distribution and size of fish ponds in the past 40 years. The fish ponds had transformed from near-natural ponds with different sizes and a near-natural random distribution in the early stage into an artificial distribution and an artificial shape. Land use changes, industrial transfer, Government guidance and financial motives were the major drivers to the changes. If no effective measures are taken, this shrinking trend in the ponds will remain in the future. Full article