气候变化领域集成服务门户(CCPortal): A multidisciplinary framework to derive global river reach classifications at high spatial resolution

CCPortal

DOI	10.1088/1748-9326/aad8e9
	A multidisciplinary framework to derive global river reach classifications at high spatial resolution
	Ouellet Dallaire C.; Lehner B.; Sayre R.; Thieme M.
发表日期	2019
ISSN	17489318
卷号	14 期号:2
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. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	freshwater management; global scale; river classification; river reach type; sustainability
语种	英语
scopus关键词	Classification (of information); Climate change; Ecosystems; Geomorphology; Image resolution; K-means clustering; Sustainable development; Water; Biological characteristic; Environmental attributes; Freshwater managements; Global scale; High spatial resolution; River classification; Smaller scale applications; Supervised classification; Rivers; climate change; conceptual framework; environmental change; fluvial geomorphology; global perspective; river basin; river management; river system; spatial resolution; sustainability; water management; water resource
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154712
作者单位	Department of Geography, McGill University, Montréal, QC, Canada; US Geological Survey, Reston, VA, United States; World Wildlife Fund, Washington, DC, United States
推荐引用方式 GB/T 7714	Ouellet Dallaire C.,Lehner B.,Sayre R.,et al. A multidisciplinary framework to derive global river reach classifications at high spatial resolution[J],2019,14(2).
APA	Ouellet Dallaire C.,Lehner B.,Sayre R.,&Thieme M..(2019).A multidisciplinary framework to derive global river reach classifications at high spatial resolution.Environmental Research Letters,14(2).
MLA	Ouellet Dallaire C.,et al."A multidisciplinary framework to derive global river reach classifications at high spatial resolution".Environmental Research Letters 14.2(2019).