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首页> 外文期刊>Chinese Geographical Science >FOREST LANDSCAPE PATTERN DYNAMICS OF LUONING COUNTY IN HENAN PROVINCE AND ITS DRIVING FORCES
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FOREST LANDSCAPE PATTERN DYNAMICS OF LUONING COUNTY IN HENAN PROVINCE AND ITS DRIVING FORCES

机译:河南省洛宁县森林景观格局动态及其驱动力。

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摘要

With the help of ARC/INFOR and ERDAS software, based on the information from forest resources distribution maps and TM images, four indices were chosen to analyze spatial pattern changes of forest landscape of Luoning County, Henan Province from 1983 to 1999. The results showed that: 1) The number and total area of patches were rapidly increased with time changes. The fragmentation degree of the landscape was increasing greatly. 2) The area of some forest patch types, especially shrub forest, economic forest, Populus spp. forest, Quercus spp. forest, sparse forest, deserted grassland etc. had been greatly changed. 3) The fragemation degree of each forest patch type became greater from 1983 to 1999. 4) The transition probabilities of deserted forest, economic forest, Pi-nus tabulaeformis forest, Populus spp. forest exceed 85%, Robinia pseuoacacia forest, deserted grassland, 65% and Quercus spp. forest, non-forest, shrub forest had smaller ones, which were 26.5%, 29.1% and 45.3%, respectively. The main transition trends of various patches were non-forest and Quercus spp. forest. During the course of transition, the types that 50% of area was remained were Quercus spp. forest, non-forest and shrub forest. According to above analyses, the main driving forces, such as the management policies, market economy factors and influences of human activities etc. were brought out.
机译:借助ARC / INFOR和ERDAS软件,根据森林资源分布图和TM图像信息,选择了四个指标来分析1983-1999年河南洛宁县森林景观的空间格局变化。那是:1)随着时间的变化,补丁的数量和总面积迅速增加。景观的破碎程度正在大大增加。 2)某些森林斑块类型的面积,特别是灌木林,经济林,胡杨属。森林,栎属。森林,稀疏森林,荒芜的草地等发生了很大变化。 3)从1983年到1999年,每个森林斑块类型的破碎程度都更高。4)荒漠森林,经济林,油松(Pi-nus tabulaeformis)林,胡杨(Populus spp)的过渡概率。森林超过85%,刺槐属林,荒芜的草地,65%和栎属。森林,非森林,灌木林的面积较小,分别为26.5%,29.1%和45.3%。各种斑块的主要过渡趋势是非森林和栎属。森林。在过渡过程中,剩余面积的50%是栎属物种。森林,非森林和灌木林。根据以上分析,提出了管理政策,市场经济因素和人类活动影响等主要驱动力。

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