forest coverage rate meaning in Chinese
绿地覆盖率
Examples
- It is shown that forest coverage rate , crop replanting index and unit labor input have significant effects on soil erosion
研究发现，森林覆盖率、作物复种指数以及单位劳动投入等因素对土壤侵蚀作用显著。 - Xiao yun : this park is also a paradise of plants and animals . the forest coverage rate is 90 % , with more than 1200 kinds of plants
小云：云蒙山还是一个动植物的天堂。森林覆盖率是90 ，有1200多种不同的植物。 - The whole municipality has a forestland of 1 . 27 million hectares , a live stumpage of 64 . 65 million cubic meters and a forest coverage rate of 71 % , ranking first in guangdong province
全市有林地面积127万公顷，活立木蓄积量6465万立方米，森林覆盖率达71 % ，居全省第一。 - Moreover , it can be widely used in other fields , forest coverage rate analysis for example , as the component is based on the entity model , and it can also be used in the development of webgis
同时由于该查询组件的功能设计建立在实体模型的基础上，因此可以将其应用到森林覆盖率分析等其他众多应用领域，以及用于网络环境下webgis的开发中。 - The thesis is based on income question , forest coverage rate and grop production . to beging with , date envelopment analysis is proved that it can be applicated into grain for green in shan - bei district , and then in view of the fact , seven esential factors which have influence on the project are found out : expense of dam , expense of crop , expense of cash tree , expense of defense tree , other economic crop , expense of grass and graziery ; and the output factors include : income of gdp , pure income per captia , the area of decreasing land loss , graziery income , crop production , income of tree , the totle income of economic crop . after the date of each facts are puted into dea model , unefficiencial decision making units ( dmu ) found . the data that are got through adjusting unefficiencial dmus dy dea can offer guide in shanbei district upgrading of an industrial structure . at the same time , taking into account some possible problems in or after grain for green in shan - bei district , the thesis bring out some propesal to improve the circ umstance , enhance the life level and put the relation of population , resource and circumstance into a healthy orbit
因此，加快退耕还林还草，调整土地利用结构和产业结构，已成为实现山川秀美工程和可持续发展战略的必经之路。论文以解决陕北地区的收入问题，植被问题以及粮食产量问题为出发点，首先从理论上分析了包络分析方法在陕北地区退耕还林(草)中运用的可行性，然后结合陕北地区目前的实际情况，综合分析出影响陕北地区退耕还林(草)的关键的七个因素作为输入指标：水利水保设施投入，农作物投入，经济林种支出，防护林支出，其它经济作物，草类支出，畜牧业投入；以退耕还林所要解决的最终问题作为输出指标： gdp收入、农民人均纯收入、水土流失减少量、牧业总产值、粮食产量、林业总产值、其他经济作物总产值。将各指标所对应的数据代入模型后，通过分析求解得出非有效的决策单元，再运用包络分析方法的一些基本原理对非有效的决策单元进行调整，由此所得的数据对陕北地区的实际投入具有很好的指导意义。