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DOI10.1002/hyp.11433
Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams
Epting, Steven M.1,2,6; Hosen, Jacob D.1,7; Alexander, Laurie C.3; Lang, Megan W.4,5; Armstrong, Alec W.1,2; Palmer, Margaret A.1,2
发表日期2018-02-15
ISSN0885-6087
卷号32期号:4页码:516-532
英文摘要

Geographically isolated wetlands, those entirely surrounded by uplands, provide numerous landscape-scale ecological functions, many of which are dependent on the degree to which they are hydrologically connected to nearby waters. There is a growing need for field-validated, landscape-scale approaches for classifying wetlands on the basis of their expected degree of hydrologic connectivity with stream networks. This study quantified seasonal variability in surface hydrologic connectivity (SHC) patterns between forested Delmarva bay wetland complexes and perennial/ intermittent streams at 23 sites over a full-water year (2014-2015). Field data were used to develop metrics to predict SHC using hypothesized landscape drivers of connectivity duration and timing. Connection duration was most strongly related to the number and area of wetlands within wetland complexes as well as the channel width of the temporary stream connecting the wetland complex to a perennial/ intermittent stream. Timing of SHC onset was related to the topographic wetness index and drainage density within the catchment. Stepwise regression modelling found that landscape metrics could be used to predict SHC duration as a function of wetland complex catchment area, wetland area, wetland number, and soil available water storage (adj-R-2 = 0.74, p <.0001). Results may be applicable to assessments of forested depressional wetlands elsewhere in the U.S. Mid-Atlantic and Southeastern Coastal Plain, where climate, landscapes, and hydrological inputs and losses are expected to be similar to the study area.


英文关键词catchment;geographically isolated wetlands;hydrologic connectivity;nonperennial
语种英语
WOS记录号WOS:000425515500007
来源期刊HYDROLOGICAL PROCESSES
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/61117
作者单位1.Univ Maryland, Ctr Environm Sci, Chesapeake Biol Lab, Solomons, MD 20688 USA;
2.Univ Maryland, Natl Socioenvironm Synth Ctr, 1 Pk Pl,Suite 300, Annapolis, MD 21401 USA;
3.US EPA, NCEA, Washington, DC 20460 USA;
4.US Forest Serv, USDA, Beltsville, MD 20705 USA;
5.US Fish & Wildlife Ecol Serv, Falls Church, VA 22041 USA;
6.US EPA, Off Water, 1200 Penn Ave NW, Washington, DC 20460 USA;
7.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA
推荐引用方式
GB/T 7714
Epting, Steven M.,Hosen, Jacob D.,Alexander, Laurie C.,et al. Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams[J]. 美国环保署,2018,32(4):516-532.
APA Epting, Steven M.,Hosen, Jacob D.,Alexander, Laurie C.,Lang, Megan W.,Armstrong, Alec W.,&Palmer, Margaret A..(2018).Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams.HYDROLOGICAL PROCESSES,32(4),516-532.
MLA Epting, Steven M.,et al."Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams".HYDROLOGICAL PROCESSES 32.4(2018):516-532.
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