Evidence map›Paper›PMID 29681686›Full record

ArticleHydrological processes2018

Estimating restorable wetland water storage at landscape scales.

Charles Nathan Jones, Grey R Evenson, Daniel L McLaughlin, Melanie K Vanderhoof, Megan W Lang, Greg W McCarty, Heather E Golden, Charles R Lane, Laurie C Alexander

Abstract read
In one paragraph

Article in Hydrological processes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Mapping global non-floodplain wetlands.Earth system science data · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Charles Nathan JonesThe National Socio-Environmental Synthesis Center, University of Maryland, 1 Park Place, Suite 300, Annapolis, MD 21401, USA.
Grey R EvensonDepartment of Forest Resources and Environmental Conservation, Virginia Tech, Cheatham Hall, Rm 313, 310 W Campus Dr, Blacksburg, VA 24061, USA.
Daniel L McLaughlinDepartment of Forest Resources and Environmental Conservation, Virginia Tech, Cheatham Hall, Rm 313, 310 W Campus Dr, Blacksburg, VA 24061, USA.
Melanie K VanderhoofU.S. Geological Survey Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Denver, CO 80225, USA.
Megan W LangUSFWS National Wetlands Inventory Program, 5275 Leesburg Pike, Falls Church, VA 22041, USA.
Greg W McCartyUSDA-ARS Hydrology and Remote Sensing Laboratory, 10300 Baltimore Avenue, BLDG. 007, RM. 104, BARC-WEST, Beltsville, MD 20705, USA.
Heather E GoldenUSEPA Office of Research and Development, National Exposure Research Laboratory, 26 West Martin Luther King Drive, Mail Code: 587, Cincinnati, OH 45268, USA.
Charles R LaneUSEPA Office of Research and Development, National Exposure Research Laboratory, 26 West Martin Luther King Drive, Mail Code: 587, Cincinnati, OH 45268, USA.
Laurie C AlexanderUSEPA Office of Research and Development, National Center for Environmental Assessment, William Jefferson Clinton Building, 1200 Pennsylvania Avenue, N. W., Mail Code: 8623P, Washington, DC 20460, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Globally, hydrologic modifications such as ditching and subsurface drainage have significantly reduced wetland water storage capacity (i.e., volume of surface water a wetland can retain) and consequent wetland functions. While wetland area has been well documented across many landscapes and used to guide restoration efforts, few studies have directly quantified the associated wetland storage capacity. Here, we present a novel raster-based approach to quantify both contemporary and potential (i.e., restorable) storage capacities of individual depressional basins across landscapes. We demonstrate the utility of this method by applying it to the Delmarva Peninsula, a region punctuated by both depressional wetlands and drainage ditches. Across the entire peninsula, we estimated that restoration (i.e., plugging ditches) could increase storage capacity by 80%. Focusing on an individual watershed, we found that over 59% of restorable storage capacity occurs within 20 m of the drainage network, and that 93% occurs within 1 m elevation of the drainage network. Our demonstration highlights widespread ditching in this landscape, spatial patterns of both contemporary and potential storage capacities, and clear opportunities for hydrologic restoration. In Delmarva and more broadly, our novel approach can inform targeted landscape-scale conservation and restoration efforts to optimize hydrologically mediated wetland functions.

Identifiers

PMID29681686
PMCPMC5907502

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.