Optimizing Landscape Patterns for Tea Plantation Agroecosystems: A Case Study of an Important Agricultural Heritage System in Enshi, China

• Published in: Land
• Main Authors: Jiaqian Wu, Chunyang Li, Tong Wang
• Format: Article
• Language: English
• Published: MDPI AG 2025-07-01
• Subjects: tea plantation agroecosystems; landscape pattern optimization; agricultural heritage; ecological network; landscape connectivity; maxent modeling
• Online Access: https://www.mdpi.com/2073-445X/14/7/1491

The agroecosystems of tea plantations play a significant role in regional ecosystem services, with some recognized as Important Agricultural Heritage Systems. Despite notable progress in conserving these unique agricultural landscapes, systematic approaches to delineating the core conservation zone and establishing robust ecological networks for agricultural heritage systems remain insufficient. This study employed the Enshi Yulu Tea Agricultural Heritage System as a case study, integrating the MaxEnt model, InVEST model, and circuit theory to quantitatively assess landscape connectivity and prioritize conservation efforts. The analysis delineated a core conservation zone of 718.04 km² for tea plantations, identified 77 ecological corridors, and pinpointed 104 critical ecological nodes. The results indicate 43.96 km² of synergistic areas between tea plantations and ecological sources, demonstrating that the agroecosystems of tea plantations provide higher ESs values compared to monoculture plantations and farmlands. In addition, an ecological optimization framework featuring a “four belts and four zones” spatial configuration was proposed, aimed at enhancing connectivity and promoting the sustainable development of tea plantation agricultural heritage. The proposed framework can provide evidence-based references for future policy formulation, and deliver actionable insights for land-use planning, habitat restoration, and infrastructure mitigation.