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Assessing visual disturbance conditions on the Custer National Forest.

机译:评估卡斯特国家森林的视觉干扰条件。

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摘要

Assessment of soil disturbance on the Custer National Forest was conducted during two summers to determine if the U.S. Forest Service Forest Soil Disturbance Monitoring Protocol (FSDMP) was able to distinguish post-harvest soil conditions in a chronological sequence of sites harvested using different ground-based logging systems. Results from the first year of sampling suggested that the FSDMP point sampling method may not be sensitive enough to measure post-harvest disturbance in stands with low levels of disturbance. Therefore, a revised random transect method was used during the second sampling season to determine the actual extent of soil disturbance in these cutting units. Using combined data collected from both summers I detected statistically significant differences (p 0.05) in fine fraction bulk density measurements between FSDMP disturbance classes across all sites. Disturbance class 3 (most severe) had the highest reported bulk density, which suggest that the FSDMP visual class estimates are defined adequately allowing for correlations to be made between visual disturbance and actual soil physical characteristics.;Forest site productivity can be defined by its ability to retain carbon and convert it to above- and belowground biomass. However, forest management activities that alter basic site characteristics have the potential to alter productivity. Soil compaction is one critical management impact that is important to understand; compaction has been shown to impede the root growth potential of plants, reduce water infiltration rates increasing erosion potential, and alter plant available water and nutrients, depending on soil texture. A new method to assess ground cover, erosion, and other soil disturbances was recently published by the U.S. Forest Service, as the Forest Soil Disturbance Protocol (FSDMP). The FSDMP allows soil scientists to visually assign a disturbance class estimate (0 -- none, 1, 2, 3 -- severe) from field measures of consistently defined soil disturbance indicators (erosion, fire, rutting, compaction, and platy/massive/puddled structure) in small circular (15 cm) plots to compare soil quality properties pre- and post- harvest condition. Using this protocol we were able to determine that ground-based timber harvesting activities occurring on the Custer National Forest are not reaching the 15% maximum threshold for detrimental soil disturbance outlined by the Region 1 Soil Quality Standards.
机译:在两个夏季期间,对卡斯特国家森林的土壤扰动进行了评估,以确定美国林务局森林土壤扰动监测协议(FSDMP)是否能够按时间顺序使用不同的地面土壤资源来区分收割后的土壤状况。测井系统。采样第一年的结果表明,FSDMP点采样方法可能不够灵敏,不足以测量干扰程度低的林分收获后干扰。因此,在第二个采样季节使用了一种修正的随机样条法来确定这些切割单元中土壤扰动的实际程度。使用从两个夏季收集的组合数据,我发现在所有站点的FSDMP干扰类别之间,细级堆积密度测量值在统计学上有显着差异(p <0.05)。扰动等级3(最严重)的堆密度最高,这表明FSDMP视觉等级的估计值定义得当,允许在视觉扰动和实际土壤物理特性之间建立关联。保留碳并将其转化为地上和地下的生物量。但是,改变基本林地特征的森林经营活动有可能改变生产力。土壤压实是一项重要的管理影响,需要理解。压实作用已显示出会阻碍植物根系生长的潜力,降低水的渗透速率,增加侵蚀的潜力,并根据土壤质地改变植物的水分和养分。美国森林服务局最近发布了一种评估地面覆盖,侵蚀和其他土壤干扰的新方法,称为森林土壤干扰协议(FSDMP)。 FSDMP允许土壤科学家根据一致定义的土壤干扰指标(侵蚀,着火,车辙,压实和板块/大块/在15厘米的小圆形图中绘制水坑状结构,以比较收获前和收获后的土壤质量特性。使用此协议,我们能够确定在Custer国家森林中进行的地面木材采伐活动未达到1区土壤质量标准概述的有害土壤扰动的最大阈值的15%。

著录项

  • 作者

    Robinson, Scott B.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Agriculture Forestry and Wildlife.;Agriculture Soil Science.
  • 学位 M.S.
  • 年度 2011
  • 页码 47 p.
  • 总页数 47
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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