Kasprak Alan, Hough-Snee Nate, Beechie Tim, Bouwes Nicolaas, Brierley Gary, Camp Reid, Fryirs Kirstie, Imaki Hiroo, Jensen Martha, O'Brien Gary, Rosgen David, Wheaton Joseph
Department of Watershed Sciences, Utah State University, Logan, UT 84322-5210, United States of America.
Ecology Center, Utah State University, Logan, UT, 84322-5210, United States of America.
PLoS One. 2016 Mar 16;11(3):e0150293. doi: 10.1371/journal.pone.0150293. eCollection 2016.
Stream classification provides a means to understand the diversity and distribution of channels and floodplains that occur across a landscape while identifying links between geomorphic form and process. Accordingly, stream classification is frequently employed as a watershed planning, management, and restoration tool. At the same time, there has been intense debate and criticism of particular frameworks, on the grounds that these frameworks classify stream reaches based largely on their physical form, rather than direct measurements of their component hydrogeomorphic processes. Despite this debate surrounding stream classifications, and their ongoing use in watershed management, direct comparisons of channel classification frameworks are rare. Here we implement four stream classification frameworks and explore the degree to which each make inferences about hydrogeomorphic process from channel form within the Middle Fork John Day Basin, a watershed of high conservation interest within the Columbia River Basin, U.S.A. We compare the results of the River Styles Framework, Natural Channel Classification, Rosgen Classification System, and a channel form-based statistical classification at 33 field-monitored sites. We found that the four frameworks consistently classified reach types into similar groups based on each reach or segment's dominant hydrogeomorphic elements. Where classified channel types diverged, differences could be attributed to the (a) spatial scale of input data used, (b) the requisite metrics and their order in completing a framework's decision tree and/or, (c) whether the framework attempts to classify current or historic channel form. Divergence in framework agreement was also observed at reaches where channel planform was decoupled from valley setting. Overall, the relative agreement between frameworks indicates that criticism of individual classifications for their use of form in grouping stream channels may be overstated. These form-based criticisms may also ignore the geomorphic tenet that channel form reflects formative hydrogeomorphic processes across a given landscape.
河流分类提供了一种方法,用于理解景观中河道和洪泛平原的多样性与分布情况,同时识别地貌形态与过程之间的联系。因此,河流分类经常被用作流域规划、管理和恢复的工具。与此同时,对于特定的分类框架存在激烈的争论和批评,理由是这些框架主要根据河流的物理形态对河段进行分类,而不是直接测量其组成的水文地貌过程。尽管围绕河流分类存在这场争论,并且它们仍在流域管理中持续使用,但对不同河道分类框架进行直接比较的情况却很少见。在此,我们应用了四种河流分类框架,并探讨了在美国哥伦比亚河流域内具有高度保护价值的约翰迪河中叉流域内,每种框架从河道形态推断水文地貌过程的程度。我们在33个实地监测站点比较了河流样式框架、自然河道分类、罗斯根分类系统以及基于河道形态的统计分类的结果。我们发现,这四种框架根据每个河段或河段的主导水文地貌要素,始终将河段类型归为相似的类别。当分类的河道类型出现分歧时,差异可归因于:(a)所使用输入数据的空间尺度;(b)必要的指标及其在完成框架决策树时的顺序;和/或(c)该框架是试图对当前还是历史河道形态进行分类。在河道平面形态与河谷环境解耦的河段,也观察到了框架一致性方面的差异。总体而言,各框架之间的相对一致性表明,对于个别分类因在分组河道时使用形态而受到的批评可能有些夸大。这些基于形态的批评可能也忽略了地貌学的一个原则,即河道形态反映了给定景观上形成性的水文地貌过程。