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Epting SM, Hosen JD, Alexander LC, et al. Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams. Hydrol Process. 2018;32(4):516-532doi: 10.1002/hyp.11433.
Epting, S. M., Hosen, J. D., Alexander, L. C., Lang, M. W., Armstrong, A. W., & Palmer, M. A. (2018). Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams. Hydrological processes, 32(4), 516-532. https://doi.org/10.1002/hyp.11433
Epting, Steven M, et al. "Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams." Hydrological processes vol. 32,4 (2018): 516-532. doi: https://doi.org/10.1002/hyp.11433
Epting SM, Hosen JD, Alexander LC, Lang MW, Armstrong AW, Palmer MA. Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams. Hydrol Process. 2018 Feb 15;32(4):516-532. doi: 10.1002/hyp.11433. Epub 2018 Feb 20. PMID: 29576682; PMCID: PMC5856080.
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Hydrol Process. 2018 Feb 15;32(4):516-532. doi: 10.1002/hyp.11433. Epub 2018 Feb 20.

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams.

Hydrological processes

Steven M Epting, Jacob D Hosen, Laurie C Alexander, Megan W Lang, Alec W Armstrong, Margaret A Palmer

Affiliations

  1. Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons MD 20688 USA.
  2. National Socio-Environmental Synthesis Center University of Maryland 1 Park Place, Suite 300 Annapolis MD 21401 USA.
  3. Environmental Protection Agency, NCEA Washington, D.C. 20460 USA.
  4. United States Department of Agriculture Forest Service Beltsville MD 20705 USA.

PMID: 29576682 PMCID: PMC5856080 DOI: 10.1002/hyp.11433

Abstract

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

Keywords: catchment; geographically isolated wetlands; hydrologic connectivity; nonperennial

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