首页> 外文会议>Statistics, mathematics and computers : Caring for the forest: research in a changing world >Development of an Integrated Moisture Index for Predicting Species Composition
【24h】

Development of an Integrated Moisture Index for Predicting Species Composition

机译:开发用于预测物种组成的综合水分指数

获取原文
获取原文并翻译 | 示例

摘要

A geographic information system (GIS) approach was used to develop an Integrated Moisture Index (IMI), which was used to predict species composition for Ohio forests. Several landscape features (a slope-aspect shading index, cumulative flow of water downslope, curvature of the landscape, and the water-holding capacity of the soil) were derived from elevation and soils data to create the IMI. From IMI values for forest land harvested in the past 30 years, we estimated the percentage composition of two major forest types in the region as well as the prominence of many understory species and several bird species. This approach can be used to better manage forest resources and to predict how the resource will change in the future under various forms of ecosystem management.
机译:地理信息系统(GIS)方法用于开发综合水分指数(IMI),该指数可用于预测俄亥俄州森林的物种组成。从高程和土壤数据中得出了一些景观特征(坡度-坡度阴影指数,下坡的累积流量,景观曲率和土壤的持水能力)以创建IMI。根据过去30年中收获的林地的IMI值,我们估计了该地区两种主要森林类型的百分比组成以及许多林下物种和几种鸟类的突出地位。这种方法可用于更好地管理森林资源,并预测在各种形式的生态系统管理下资源在未来的变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号