森林覆盖率预测风险分析
Risk analysis on forest coverage prediction
刘浪1
作者信息
- 1. 国家林业和草原局西南调查规划院,云南昆明 650031
- 折叠
摘要
选取降雨量、海拔、土层厚度、病虫害、造林工程、统计口径、森林地类认定标准、资源管理情况作为森林覆盖率预测风险分析的评价指标,采用层次分析法和多元回归模型得出:(1)影响森林覆盖率预测风险的评价指标中,统计口径权重值最大;(2)森林覆盖率预测风险系数区间为1.00到2.65.
Abstract
Forest coverage is one of the important indicators that indicate the number of forests in a country or region.This paper selects rainfall,elevation,soil layer thickness,pests and diseases,afforestation projects,statistical caliber,forest land category identification standards,and resource management as the evaluation indicators for risk analysis of forest coverage prediction.The analytic hierarchy process and multiple regression model were used to draw the following conclusions:(1)among the evaluation indicators that affect the prediction risk of forest coverage,the weight value of statistical caliber was the largest;(2)the predicted risk coefficient range of forest coverage is 1.00 to 2.65.
关键词
森林覆盖率/评价指标/风险分析/层次分析法/多元回归模型Key words
forest coverage/evaluating indicator/risk analysis/analytic hierarchy process/multiple regression model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据