Evidence map›Paper›PMID 31222417›Full record

ArticleEnvironmental monitoring and assessment2019

The response of wetland quality indicators to human disturbance indicators across the United States.

Alan T Herlihy, Jean C Sifneos, Gregg A Lomnicky, Amanda M Nahlik, Mary E Kentula, Teresa K Magee, Marc H Weber, Anett S Trebitz

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

8 authors.

Alan T HerlihyDepartment of Fisheries & Wildlife, Oregon State University, 104 Nash Hall, Corvallis, OR, 97331, USA. alan.herlihy@oregonstate.edu.
Jean C SifneosDepartment of Statistics, Oregon State University, Corvallis, OR, 97331, USA.
Gregg A LomnickyCSS Dynamac Corp, 200 SW 35th St., Corvallis, OR, 97333, USA.
Amanda M NahlikDepartment of Biology, Kenyon College, 202 N. College Road, Gambier, OH, 43022, USA.
Mary E KentulaNational Health and Environmental Effects Research Laboratory-Western Ecology Division, US Environmental Protection Agency, 200 SW 35th St., Corvallis, OR, 97333, USA.
Teresa K MageeNational Health and Environmental Effects Research Laboratory-Western Ecology Division, US Environmental Protection Agency, 200 SW 35th St., Corvallis, OR, 97333, USA.
Marc H WeberNational Health and Environmental Effects Research Laboratory-Western Ecology Division, US Environmental Protection Agency, 200 SW 35th St., Corvallis, OR, 97333, USA.
Anett S TrebitzNational Health and Environmental Effects Research Laboratory- Mid-Continent Ecology Division, US Environmental Protection Agency, 6201 Congdon Blvd, Duluth, MN, 55804, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed data from 1138 wetland sites across the conterminous United States (US) as part of the 2011 National Wetland Condition Assessment (NWCA) to investigate the response of indicators of wetland quality to indicators of human disturbance at regional and continental scales. The strength and nature of these relationships in wetlands have rarely been examined over large regions, due to the paucity of large-scale datasets. Wetland response indicators were a multimetric index of vegetation condition (VMMI), percent relative cover of alien plant species, soil lead and phosphorus, and water column total nitrogen and total phosphorus. Site-level disturbance indices were generated from field observations of disturbance types within a circular 140-m radius area around the sample point. Summary indices were calculated representing disturbances for ditching, damming, filling/erosion, hardening, vegetation replacement, and vegetation removal. Landscape-level disturbance associated with agricultural and urban land cover, roads, and human population were based on GIS data layers quantified in 200, 500, and 1000-m circular buffers around each sample point. Among these three buffer sizes, the landscape disturbance indicators were highly correlated and had similar relationships with the response indictors. Consequently, only the 1000-m buffer data were used for subsequent analyses. Disturbance-response models built using only landscape- or only site-level disturbance variables generally explained a small portion of the variance in the response variables (R

Indexed as

Environmental MonitoringModels, TheoreticalWetlandsAgricultureHumansIntroduced SpeciesPlantsSoilUnited StatesUrbanizationSoilHuman disturbanceLeadNitrogenPhosphorusVegetationWetlands

Identifiers

PMID31222417
PMCPMC6586913

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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.