Potential Stream Density in Mid-Atlantic U.S. Watersheds

Andrew J Elmore, Jason P Julian, Steven M Guinn and Matthew C Fitzpatrick

PLOS ONE, 2013, vol. 8, issue 8, 1-

Abstract: Stream network density exerts a strong influence on ecohydrologic processes in watersheds, yet existing stream maps fail to capture most headwater streams and therefore underestimate stream density. Furthermore, discrepancies between mapped and actual stream length vary between watersheds, confounding efforts to understand the impacts of land use on stream ecosystems. Here we report on research that predicts stream presence from coupled field observations of headwater stream channels and terrain variables that were calculated both locally and as an average across the watershed upstream of any location on the landscape. Our approach used maximum entropy modeling (MaxEnt), a robust method commonly implemented to model species distributions that requires information only on the presence of the entity of interest. In validation, the method correctly predicts the presence of 86% of all 10-m stream segments and errors are low (

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0074819

DOI: 10.1371/journal.pone.0074819

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