...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Forest Planning >Cluster Sampling in Inventorying Forest Damage by the Common Pine Sawfly (Diprion pint)
【24h】

Cluster Sampling in Inventorying Forest Damage by the Common Pine Sawfly (Diprion pint)

机译：盘点抽样调查常见松锯齿蝇（Diprion品脱）对森林的危害

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Climate change and biological invasions are threats to healthy forest environments throughout the world. Some species that have previously caused only small-scale damage have now become serious pests, causing massive outbreaks and yield losses including in Scandinavia. The spatial scale of outbreaks and intensity of defoliation caused by the common pine sawfly (Diprion pint L.) can vary between years, due to fluctuation in population dynamics. The study area is situated in Ilomantsi, eastern Finland,where D. pint has caused vast needle losses in managed Scots pine stands. We aimed at developing an accurate and cost-efficient inventory method for insect damage, in which we compared stratified adaptive cluster sampling, random adaptive cluster sampling and simple random sampling. Stratified adaptive cluster sampling proved to be the most accurate method and was a promising candidate for inventorying and monitoring pest insect damage in the study. Adaptive cluster sampling is a promising method for inventorying and monitoring such phenomena when area does not remain constant all the time.
机译：气候变化和生物入侵是对全世界健康森林环境的威胁。以前仅造成小规模破坏的某些物种现在已成为严重的害虫，在斯堪的纳维亚半岛引起大规模暴发和产量损失。由于种群动态的波动，普通松木锯蝇（Diprion pint L.）引起的疫情暴发的空间规模和落叶强度可能在几年之间变化。研究区域位于芬兰东部的Ilomantsi，那里的D. pint在管理过的苏格兰松树林中造成了很大的针头损失。我们旨在开发一种准确，经济高效的昆虫危害清单方法，在该方法中，我们比较了分层自适应聚类抽样，随机自适应聚类抽样和简单随机抽样。分层自适应整群抽样被证明是最准确的方法，并且是该研究中清点和监测害虫虫害的有希望的候选者。当面积并非始终保持恒定时，自适应聚类采样是一种有前途的方法，用于清点和监视此类现象。

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