应用GPS与GIS技术进行暗针叶林生态系统样地分析
文献类型：期刊论文
| 作者 | 程根伟
|
| 刊名 | 应用生态学报
 |
| 出版日期 | 2002 |
| 卷号 | 13期号:7页码:773-776 |
| 关键词 | GPS GIS 群落调查 样地分析 |
| 其他题名 | Plot analysis in the dark coniferous ecosystem using GPS and GIS techniques |
| 通讯作者 | 关文彬 |
| 合作状况 | 国内 |
| 中文摘要 | 高海拔地区原始林调查一直难度较大 .采用GPS与GIS技术结合 ,不但便于设置与恢复样地 ,而且还能够比较精确地展现样地空间特征及其中乔木的空间分布格局 .将快速静态定位与局部皮尺检测相结合 ,除个别点偏差较大外 ,定位相对比较精确 ,RMS平均为 2 .84 ,平均三维系统误差分别为 :△B =1 .2m ,△L =1 .2m ,△H =4 .3m ,均方差分别是± 0 .6 ,± 1 .1 ,± 2 1 .1 ,能够满足于森林经营与管理的需要 .GIS分析表明 ,暗针叶林生态系统主林冠层的郁闭度不能完全刻画出树冠对降雨的再分配作用 .该方法充分展示了“2S”技术在小尺度森林生态系统管理中的应用潜力 ,尤其是在海拔较高 ,不便于进行航空、航天测量和常规测量的地区 |
| 英文摘要 | It is generally difficult to survey in primary forests located on high-altitude region. However, it is convenient to identify and to recognize plots accompanied by GPS and GIS techniques, which can also display the spatial pattern of arbors precisely. Using the method of rapidstatic positioning cooperated with tapemeasure , it is concluded that except some points, the positioning was relatively precise, the average value of RMS was 2.84, variance was 2.96, and △B, △L, and △H were 1.2, 1.2, and 4.3m with their variances being ±0.6, ±1.1, and ±21.1, respectively, which could meet the needs of forestry management sufficiently. Accompanied by some other models, many ecological processes under small and even medium scale , such as the dynamics of gap succession, could also be simulated visually by GIS. Therefore, the techniques of “2S” were patent for forest ecosystem management under the fine scale , especially in the area of high altitude. |
| 资助信息 | 国家自然科学基金重点项目(39930130 ); 国家重点基础研究发展规划项目(G2000046807); 教育部博士点基金资助项目(2000002209) |
| 语种 | 中文 |
| 公开日期 | 2011-04-18 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/3026]  |
| 专题 | 成都山地灾害与环境研究所_成都山地所知识仓储（2009年以前） 成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室 |
| 推荐引用方式 GB/T 7714 | 程根伟. 应用GPS与GIS技术进行暗针叶林生态系统样地分析[J]. 应用生态学报,2002,13(7):773-776. |
| APA | 程根伟.(2002).应用GPS与GIS技术进行暗针叶林生态系统样地分析.应用生态学报,13(7),773-776. |
| MLA | 程根伟."应用GPS与GIS技术进行暗针叶林生态系统样地分析".应用生态学报 13.7(2002):773-776. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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