【摘要】 云南省位于长江、珠江两大国内河流和萨尔温江、湄公河、红河三大国际河流的上游和发源地,山地多坝区少,陡坡开荒成为扩大种植面积和提高粮食产量的一种方式,加上对森林的乱砍滥伐,水土流失极为严重。森林资源通过地表防护,能有效保持水土。文章应用神经网络预测模型对云南省森林有林地面积、活立木蓄积、森林覆盖率进行预测分析,对云南省更加有效地保护森林资源,改善生态环境有一定的现实意义及参考价值。更多还原

【Abstract】 Yunnan Province is the upstream of Yangtze and Pearl River,also it is the birthplace of Salween,Mekong and Red River.The reclamation of steep slope land becomes the way to expand cultivation area and increase food production.The soil erosion is seriously coupled with the cutting of forests.Through the efficient water-soil conservation,forest resources are protected.Applying neural network prediction model,the area of woodland,standing live stock and forest cover in Yunnan were analyzed and predicted.The paper has some practical significance and value to protect the forest resources and improve the ecological environment in Yunnan Province.更多还原