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Wetland vegetation of the Blue Mountains, Oregon: Classification, synthesis, and bioassessment.

机译:俄勒冈州蓝山的湿地植被:分类,合成和生物评估。

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摘要

The deep canyon and subalpine vegetation types of the Malheur, Umatilla, and Wallowa-Whitman National Forests were classified based on potential natural vegetation. A plant association is defined as an assemblage of native vegetation in equilibrium with the environment on a specific fluvial surface. The implication is that as the environment (water regime, soils, etc.) changes through time the vegetative potential shifts across that environment space. The classification was designed to overlap with an existing mid-montane northeastern Oregon riparian/wetland classification. Ninety-five vegetation types were classified across the three national forests, including some 45 vegetation types not previously classified for northeastern Oregon subalpine and deep canyon environments.; The local (within plant community) and geo-physiognomic classification (GPC) (a cross-classification of geographic region and vegetation physiognomy) species pools of the deep canyon and subalpine riparian zones of northeastern Oregon (Chapter 2) were compared with local and GPC species pools from adjacent riparian classifications, including central and mid-montane northeastern Oregon, Washington, Idaho, Utah, Nevada, northeastern California, Montana, and Wyoming. Compositional dissimilarity was used as an objective measure of similarity among adjacent regions. Non-metric Multi-Dimensional Scaling (NMDS) was employed as a secondary means of comparison among classifications. The patterns of regional species pool similarities were strongly dependent on the interplay of large-scale geographic and climatic factors, and the development of similar groups of species over millennia.; The reference condition approach to biological monitoring has received considerable attention over the last two decades as a means of detecting impairment in freshwater systems. In chapter 4, the reference condition approach to biological monitoring was applied to riparian zones and wetlands of northeastern Oregon. The reference condition models were associated with high misclassification error rates, suggesting low confidence in an assemblage of riparian vegetation being correctly predicted based on the environment. The poor misclassification rates were largely a factor of the unique character of riparian zones in fostering multiple vegetative potentials, and led to difficulties differentiating true impairment from alternative potential natural vegetation at a site.
机译:根据潜在的自然植被,对Malheur,Umatilla和Wallowa-Whitman国家森林的深峡谷和亚高山植被类型进行了分类。植物关联被定义为与特定河流表面上的环境平衡的自然植被的集合。这意味着随着环境(水体,土壤等)随着时间的推移而变化,植物势在整个环境空间中转移。该分类旨在与俄勒冈州东北部现有的中山地河岸/湿地分类重叠。在这三种国家森林中,有95种植被类型被分类,其中包括大约45种植被类型,这些类型以前没有在俄勒冈州东北亚高山和深峡谷环境中进行分类。将俄勒冈州东北部深峡谷和亚高山河岸带(第2章)的本地(植物群落内)和地理地貌分类(GPC)(地理区域和植被地貌的交叉分类)物种库与本地和GPC进行了比较来自相邻河岸分类的物种库,包括俄勒冈州中部和中部山脉,华盛顿,爱达荷州,犹他州,内华达州,加利福尼亚州东北部,蒙大拿州和怀俄明州。成分差异性被用作相邻区域之间相似性的客观度量。非度量多维标度(NMDS)被用作分类之间比较的次要手段。区域物种库相似性的模式在很大程度上取决于大规模地理和气候因素的相互作用以及几千年来相似物种的发展。在过去的二十年中,作为监测淡水系统损害的一种手段,生物监测的参考条件方法受到了相当大的关注。在第4章中,将生物学监测的参考条件方法应用于俄勒冈州东北部的河岸带和湿地。参考条件模型与错误分类错误率高相关,表明对基于环境正确预测的河岸植被集合的置信度低。不良的分类错误率很大程度上是河岸带在培育多种植物潜力方面的独特特征的因素,并导致难以将真正的损害与现场的其他潜在自然植被区分开。

著录项

  • 作者

    Wells, Aaron F.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Biology Ecology.; Biology Plant Physiology.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 622 p.
  • 总页数 622
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生态学(生物生态学);植物学;
  • 关键词

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