基于多源数据融合的草原放牧综合管理模式研究  

On Grassland Grazing Integrated Management Model Based on Multi-source Data Fusion

作　　者：余波[1] 丁红梅[2] Yu Bo;Ding Hongmei

机构地区：[1]安徽国防科技职业学院城市建设学院,安徽六安237011 [2]合肥师范学院经济与管理学院,合肥230601

出　　处：《滁州学院学报》2024年第2期81-86,108,共7页Journal of Chuzhou University

基　　金：安徽省高等学校哲学社会科学研究项目“草原放牧策略优化模式研究——以内蒙古自治区阿巴嘎旗草原为例”(2023AH052738)。

摘　　要：文章依据内蒙古自治区境内阿巴嘎旗草原的相关资料和监测数据,建立了草原土壤物理性质、植被生物量、沙漠化程度指数以及土壤板结化程度的数学模型,研究不同放牧方式和放牧强度对草原物理性质和生物量等特性的影响。并利用粒子群优化算法,求解放牧数量最大阈值,分析制定最优放牧策略。建立了草地放牧管理优化模式,从而促进草原地区绿色发展,改善草原生态状况,为实现经济和环境的长期可持续发展提供科学理论依据。Based on the relevant materials and monitoring data on the Abaga Banner grassland in the Inner Mongolia Autonomous Region,this paper establishes mathematical models of physical properties of the grassland soil,vegetation biomass,desertification index and soil crusting degree,and explores the impacts of different grazing methods and grazing intensities on the physical properties and biomass of the grassland.By utilizing the particle swarm optimization algorithm,the paper dentifies the maximum threshold for the number of sheep that are allowed to graze and formulates optimal grazing strategies to establish an optimized grassland grazing management model,which helps in improving the ecological condition of the grassland,promoting local green development,and providing a scientific theoretical basis for the long-term sustainable development of both the economy and the environment.

关 键 词：放牧模式 数学模型 粒子群算法 最大阈值 

分 类 号：F062[经济管理—政治经济学]