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DOI10.1088/1748-9326/aad8e9
A multidisciplinary framework to derive global river reach classifications at high spatial resolution
Dallaire, Camille Ouellet1; Lehner, Bernhard1; Sayre, Roger2; Thieme, Michele3
2019-02-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2019
卷号14期号:2
文章类型Article
语种英语
国家Canada; USA
英文摘要

Projected climate and environmental change are expected to increase the pressure on global freshwater resources. To prepare for and cope with the related risks, stakeholders need to devise plans for sustainable management of river systems, which in turn requires the identification of management-appropriate operational units, such as groups of rivers that share similar environmental and biological characteristics. Ideally, these units are of a manageable size, and are biotically or abiotically distinguishable across a variety of river types. Here, we aim to address this need by presenting a new global river classification framework (GloRiC) to establish a common vocabulary and standardized approach to the development of globally comprehensive and integrated river classifications that can be tailored to different goals and requirements. We define the GloRiC conceptual framework based on five categories of variables: (1) hydrology; (2) physiography and climate; (3) fluvial geomorphology; (4) water chemistry; and (5) aquatic biology. We then apply the framework using hydro-environmental attributes provided by a seamless high-resolution river reach database to create initial instances of three sub-classifications (hydrologic, physio-climatic, and geomorphic) which we ultimately combine into 127 river reach types at the global scale. These supervised classifications utilize a mix of statistical analyses and expert interpretation to identify the classifier variables, the number of classes, and their thresholds. In addition, we also present an unsupervised, multivariable k-means statistical clustering of all river reaches into 30 groups. These first-of-their-kind global river reach classifications at high spatial resolution provide baseline information for a total of 35.9 million kilometers of rivers that have been assessed in this study, and are expected to be particularly useful in remote or data-poor river basins. The GloRiC framework and associated data are primarily designed for broad and rapid applicability in assessments that require stratified analyses of river ecosystem conditions at global and regional scales; smaller-scale applications could follow the same conceptual framework yet use more detailed data sources.


英文关键词river classification global scale freshwater management sustainability river reach type
领域气候变化
收录类别SCI-E
WOS记录号WOS:000457189000001
WOS关键词ECOLOGICAL LIMITS ; WATER ; MAP ; WORLD ; CONSERVATION ; ECOREGIONS ; LANDSCAPES
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/26112
专题气候变化
作者单位1.McGill Univ, Dept Geog, Montreal, PQ, Canada;
2.US Geol Survey, 959 Natl Ctr, Reston, VA 22092 USA;
3.World Wildlife Fund, 1250 24th St,NW, Washington, DC 20037 USA
推荐引用方式
GB/T 7714
Dallaire, Camille Ouellet,Lehner, Bernhard,Sayre, Roger,et al. A multidisciplinary framework to derive global river reach classifications at high spatial resolution[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(2).
APA Dallaire, Camille Ouellet,Lehner, Bernhard,Sayre, Roger,&Thieme, Michele.(2019).A multidisciplinary framework to derive global river reach classifications at high spatial resolution.ENVIRONMENTAL RESEARCH LETTERS,14(2).
MLA Dallaire, Camille Ouellet,et al."A multidisciplinary framework to derive global river reach classifications at high spatial resolution".ENVIRONMENTAL RESEARCH LETTERS 14.2(2019).
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