基于逐步回归分析的草原放牧策略研究  

Research on Grassland Grazing Strategy Based on Stepwise Regression Analysis

作　　者：张笛 Zhang Di(Department of Information Technology,Zhengzhou Vocational College of Finance and Taxation,Zhengzhou 450048,Henan,China)

机构地区：[1]郑州财税金融职业学院信息技术系,河南郑州450048

出　　处：《绿色科技》2025年第2期48-52,60,共6页Journal of Green Science and Technology

摘　　要：草原是地球上一种重要的陆地植被类型,在全球生态系统中具有不可或缺的作用。草原为畜牧业提供了饲料基础,还起到重要的生态服务作用,包括作为集水区、生物多样性保护区、文化和娱乐需求,同时还可以减轻温室气体排放。利用锡林郭勒草原监测数据建立逐步回归模型,反映出不同放牧策略(放牧方式和放牧强度)对锡林郭勒草原土壤物理性质和植被生物量的影响,并且使用数据分析软件SPSS对相关数据进行逐步回归分析,最终得出可使沙漠化程度指数与板结化程度最小的放牧策略模型。Grassland is an important type of terrestrial vegetation on the earth and plays an indispensable role in the global ecosystem.Grassland provides a feed basis for animal husbandary and also provides important ecological services and functions,including watersheds,biodiversity protection areas,cultural and recreational needs,and mitigation of greenhouse gas emissions.This paper uses the historical data of Xilin Gol grassland to establish a stepwise regression model.This model can reflect the effects of different grazing strategies(grazing methods and grazing intensity)on the soil physical properties(mainly soil moisture)and vegetation biomass of Xilin Gol grassland,and the data analysis software SPSS was used for stepwise regression analysis of relevant data.Finally,the grazing strategy model that can minimize the desertification index and the compaction degree is obtained.

关 键 词：逐步回归 数据分析 放牧策略 草原沙漠化 

分 类 号：S812[农业科学—草业科学]