详细信息
基于遥感反演的草畜平衡实施效果评估方法探讨——以山丹县为例
Evaluation of forage-livestock balance implementation via remote sensing inversion:A case study in Shandan County,Gansu Province
文献类型:期刊文献
中文题名:基于遥感反演的草畜平衡实施效果评估方法探讨——以山丹县为例
英文题名:Evaluation of forage-livestock balance implementation via remote sensing inversion:A case study in Shandan County,Gansu Province
作者:许雪梅[1] 姜佳昌[2] 牛欣[1,3] 周宏伟[4] 韩天虎[5] 曹晓明[6] 梁春燕[7] 李旭东[1] 牛得草[1]
第一作者:许雪梅
机构:[1]兰州大学草地农业科技学院,草种创新与草地农业生态系统全国重点实验室,甘肃兰州730020;[2]甘肃省草原技术推广总站,甘肃兰州730046;[3]兰州大学资源环境学院,甘肃兰州730000;[4]山丹县草原工作站,甘肃张掖734199;[5]甘肃省治沙研究所,甘肃兰州730071;[6]中国林业科学研究院生态保护与修复研究所,北京100091;[7]甘肃省兰草新生态科技有限公司,甘肃兰州730050
年份:2025
卷号:34
期号:4
起止页码:1-15
中文期刊名:草业学报
外文期刊名:Acta Prataculturae Sinica
收录:;北大核心:【北大核心2023】;
基金:甘肃省林业和草原局甘肃省草原监测评价科技支撑项目(HT-GSZYTC-ZCJC-21009);甘肃省林业和草原局甘肃省草原监测评价项目(GSZYTC-ZCJC-21010);甘肃省林业和草原局科技计划项目(2021kj071)资助。
语种:中文
中文关键词:遥感反演;草畜平衡;草地利用现状;综合草畜平衡指数
外文关键词:remote sensing inversion;forage-livestock balance;the present situation of grassland utilization;comprehensive forage-livestock balance index
分类号:S812.2
摘要:草畜平衡实施效果评估对于草地合理管理以及草地畜牧业可持续性发展至关重要。本研究利用遥感技术获取了植被特征数据,并根据专家意见制定了草地植被指标基准值,开展了草畜平衡实施效果评估,且利用传统方法探讨了该方法的可靠性。另外,本研究通过构建综合草畜平衡指数(CFBI)进行了村级尺度的草畜平衡实施效果综合评定。基于遥感反演的草畜平衡实施效果评估结果显示,2022年山丹县部分草地存在超载情况,超载和严重超载面积仅占总面积的1.09%,各行政村草地之间的综合草畜平衡指数存在明显差异(-10.91~-3.72)。基于遥感技术的草畜平衡实施效果评估方法可以为山丹县草地禁牧区与放牧区的动态调整提供科学依据。
Evaluating the effectiveness of forage-livestock balance is crucial for the rational management of grasslands and the sustainable development of grassland livestock.In this study,we utilized remote sensing technology to obtain data on vegetation characteristics and established baseline vegetation indicators based on expert opinions.The effectiveness of forage-livestock balance implementation was assessed,and the reliability of this strategy was explored using traditional methods.Additionally,we developed a comprehensive forage-livestock balance index(CFBI)to evaluate effectiveness at the village scale.The results indicated that,based on remote sensing inversion,some grasslands in Shandan County,Gansu Province,were overgrazed in 2022,but the overgrazed area and severely overgrazed area accounted for only 1.09%of the total area.There were significant differences in the CFBI among the grasslands in various administrative villages(range,-10.91 to-3.72).The remote sensing-based method for assessing the effectiveness of forage-livestock balance provides scientific evidence for the dynamic adjustment of grazing and non-grazing zones in Shandan County.
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