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DOI10.1007/s11273-017-9554-y
The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware
Vanderhoof, Melanie K.1; Distler, Hayley E.1; Lang, Megan W.2,3; Alexander, Laurie C.4
发表日期2018-02-01
ISSN0923-4861
卷号26期号:1页码:63-86
英文摘要

The dependence of downstream waters on upstream ecosystems necessitates an improved understanding of watershed-scale hydrological interactions including connections between wetlands and streams. An evaluation of such connections is challenging when, (1) accurate and complete datasets of wetland and stream locations are often not available and (2) natural variability in surface-water extent influences the frequency and duration of wetland/stream connectivity. The Upper Choptank River watershed on the Delmarva Peninsula in eastern Maryland and Delaware is dominated by a high density of small, forested wetlands. In this analysis, wetland/stream surface water connections were quantified using multiple wetland and stream datasets, including headwater streams and depressions mapped from a lidar-derived digital elevation model. Surface-water extent was mapped across the watershed for spring 2015 using Landsat-8, Radarsat-2 and Worldview-3 imagery. The frequency of wetland/stream connections increased as a more complete and accurate stream dataset was used and surface-water extent was included, in particular when the spatial resolution of the imagery was finer (i.e., < 10 m). Depending on the datasets used, 12-60% of wetlands by count (21-93% of wetlands by area) experienced surface-water interactions with streams during spring 2015. This translated into a range of 50-94% of the watershed contributing direct surface water runoff to streamflow. This finding suggests that our interpretation of the frequency and duration of wetland/stream connections will be influenced not only by the spatial and temporal characteristics of wetlands, streams and potential flowpaths, but also by the completeness, accuracy and resolution of input datasets.


英文关键词Connectivity;Depressions;Forested wetlands;Headwater streams;Inundation;Lidar
语种英语
WOS记录号WOS:000427096100005
来源期刊WETLANDS ECOLOGY AND MANAGEMENT
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/60824
作者单位1.US Geol Survey, Geosci & Environm Change Sci Ctr, DFC, POB 25046,MS980, Denver, CO 80225 USA;
2.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA;
3.US Fish & Wildlife Serv, Natl Wetland Inventory, Falls Church, VA 22041 USA;
4.US EPA, Off Res & Dev, Natl Ctr Environm Assessment, 1200 Penn Ave NW 8623 P, Washington, DC 20460 USA
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Vanderhoof, Melanie K.,Distler, Hayley E.,Lang, Megan W.,et al. The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware[J]. 美国环保署,2018,26(1):63-86.
APA Vanderhoof, Melanie K.,Distler, Hayley E.,Lang, Megan W.,&Alexander, Laurie C..(2018).The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware.WETLANDS ECOLOGY AND MANAGEMENT,26(1),63-86.
MLA Vanderhoof, Melanie K.,et al."The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware".WETLANDS ECOLOGY AND MANAGEMENT 26.1(2018):63-86.
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