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Ecological classification of wetlands in the western half of the Hiawatha National Forest, Upper Michigan, United States.

机译:美国上密歇根州Hiawatha国家森林西半部湿地的生态分类。

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摘要

Wetlands comprise newly half of the total land am in the western half of the Hiawatha National Forest, Michigan. The characteristics of these wetlands am poorly understood and no regional classification existed that could address management needs. Ecosystem classifications that an based on multiple biotic and abiotic factors with an understanding of their interrelationships are recognized as the most useful for multiple use management. The objectives of this study were to (1) develop a multifactor ecological classification system for the Forest, (2) characterize the interrelationships between wetland biotic and abiotic components, (3) investigate peatland vegetation in relation to groundwater characteristics and classification concepts of bog, fen, and mop, (4) mid validate National Wetlands Inventory (NWI) maps. A diverse set of biotic and abiotic variables were measured on 118 plots.;A wetland classification was created with 23 ecological landtype phases (ELTPs). ELTPs are repeatable and consistent landscape waits with similar landform, vegetation, hydrology, and soil. Wetland ELTPs were grouped into two soil landtypes, organic (>30 can organic depth) and mineral. Each landtype was subdivided into four subgroups: two dichotomies of nonforested or forested and acidic or base-rich. The subgroups were based on the two primary hydrogeomorphic gradients identified during the study (1) open-to-forested and (2) acid-to-allailine. Species richness for bryophytes, herbaceous, and shrub/tree physiognomic, groups was also correlated to these gradients but each group differed in their relationship to individual factors. Surface structural variables like woody debris and microtopography were more important for bryophytes than herbs or shrub/trees.;NWI mapping of upland and wetland areas was over 90% accurate when compared with ground truth data. Accuracy was lowest with forested wetlands. The most common NWI error was the classification of wetlands on the upland AuGres soil series.;A DCA ordination with a Spearman rank-correlation analysis related peatland vascular and bryophyte vegetation patterns most strongly to groundwater Ca, Mg, and pH. A discriminant analysis was able to successfully identify bog, fens, or swamps at an overall 80% accuracy level.
机译:湿地占密歇根州Hiawatha国家森林公园西半部土地的一半。这些湿地的特征知之甚少,并且不存在可以满足管理需求的区域分类。基于多种生物和非生物因素并了解它们之间相互关系的生态系统分类被认为是对多种用途管理最有用的分类。这项研究的目的是(1)为森林开发多因素生态分类系统;(2)表征湿地生物和非生物成分之间的相互关系;(3)研究泥炭地植被与地下水特征和沼泽分类概念之间的关系, fen和mop,(4)验证国家湿地清单(NWI)地图。在118个样地上测量了各种生物和非生物变量。湿地分类创建了23个生态土地类型阶段(ELTP)。 ELTP具有相同的地貌,植被,水文和土壤,具有可重复且一致的景观等待时间。湿地ELTP分为两种土壤地型,有机(有机深度大于30罐)和矿物。每种土地类型都细分为四个亚类:两个非森林或森林的二分法和酸性或碱丰富的二分法。这些亚组基于研究期间确定的两个主要水文地貌梯度(1)开阔林和(2)酸到alalaline。苔藓植物,草本植物和灌木/乔树的生理组别的物种丰富度也与这些梯度相关,但每个组与个体因素的关系不同。苔藓植物的表面结构变量(如木屑和微观形貌)比草药或灌木/树木更为重要。与地面真相数据相比,旱地和湿地地区的NWI测绘准确度超过90%。森林湿地的精度最低。 NWI最常见的错误是在高地AuGres土壤系列上对湿地进行分类。DCA排序与Spearman等级相关分析将泥炭地维管植物和苔藓植物的植被模式与地下水Ca,Mg和pH值联系在一起。判别分析能够以80%的总体准确度成功识别沼泽,沼泽或沼泽。

著录项

  • 作者

    Kudray, Gregory Michael.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Forestry.;Ecology.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 220 p.
  • 总页数 220
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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