海南琼中—— 林下经济成为“绿色银行”

Core Insights - Qiongzhong Li and Miao Autonomous County is leveraging its rich forest resources to develop various "under-forest" economic models, including "forest + medicine," "forest + fungi," "forest + fruits," and "forest + tourism" [1][4] - The county has integrated approximately 37.93 million yuan in rural revitalization funds to support projects related to under-forest planting, breeding, and product processing [1][4] - The development of the Guangdilong breeding base and the New Zhai chicken farming initiative exemplifies successful agricultural practices that enhance economic returns while promoting ecological sustainability [2][3] Under-Forest Economic Development - The Guangdilong breeding model involves a partnership with a family farm, addressing technical and sales challenges, with a projected annual sales order amount that is quite substantial [2] - Guangdilong has a growth cycle of 3 to 4 months, with a live yield of approximately 1,500 pounds per acre, translating to significant economic value [2] - The New Zhai chicken initiative utilizes the under-forest space, reducing feed costs and creating an ecological cycle that benefits both the environment and local farmers [3] Crop and Livestock Integration - The integration of grass cardamom cultivation under rubber trees has expanded from 200 acres to 1,200 acres, showcasing significant growth in scale [3][4] - The partnership between the Qiongzhong Shisheng Kangsen Agricultural Development Company and local farmers promotes shared resources and risk management, leading to mutual benefits [3][4] - The county's policies support the development of Li and Miao medicinal herbs, aiming to enhance the income of local farmers by over 10,000 yuan annually [4] Future Prospects - By mid-2025, the total area of under-forest economy in Qiongzhong is expected to exceed 242,000 acres, promoting a model of "not cutting trees, but achieving wealth" [4] - The county aims to transform under-forest land into a "green bank" for the community, aligning with ecological value transformation principles [4]