Evidence map›Paper›PMID 31222378›Full record

ArticleEnvironmental monitoring and assessment2019

Assessing the relative and attributable risk of stressors to wetland condition across the conterminous United States.

Alan T Herlihy, Steven G Paulsen, Mary E Kentula, Teresa K Magee, Amanda M Nahlik, Gregg A Lomnicky

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. δThe Science of the total environment · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

6 authors.

Alan T HerlihyDepartment of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, Corvallis, OR, 97331, USA. alan.herlihy@oregonstate.edu.ORCID http://orcid.org/0000-0001-5812-7408
Steven G PaulsenNational Health and Environmental Effects Research Laboratory- Western Ecology Division, US Environmental Protection Agency, 200 SW 35th St, Corvallis, OR, 97333, 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.
Amanda M NahlikNational Health and Environmental Effects Research Laboratory- Western Ecology Division, US Environmental Protection Agency, 200 SW 35th St, Corvallis, OR, 97333, USA.
Gregg A LomnickyCSS Dynamac Corp., 200 SW 35th St, Corvallis, OR, 97333, USA.

Funding

U.S. Environmental Protection Agency 83422601U.S. Environmental Protection Agency RD-83425201
6 · The paper itself

Abstract

We analyzed data from 967 randomly selected wetland sites across the conterminous United States (US) as part of the 2011 National Wetland Condition Assessment (NWCA) to investigate the relative and attributable risk of various stressors on wetland vegetation condition. Indicators of stress included six physical stressors (damming, ditching, filling/erosion, hardening, vegetation removal, and vegetation replacement) and two chemical stressors (soil phosphorus and heavy metals) that represent a wide range of human activities. Risk was evaluated nationally and within four aggregate ecoregions and four aggregate wetland types. Nationally, all of the stressors except soil heavy metals and phosphorus had a significant relative risk but values were always < 2 (a relative risk of two indicates that it's twice as likely to have poor vegetation condition when the stressor is present relative to when it is absent). Among the different ecoregions or wetland types, no one stressor was consistently riskier; all of the stressors were associated with poor vegetation condition in one or another of the subpopulations. Overall, hardening had the highest attributable and relative risks in the most different subpopulations. Attributable risks above 25% were observed for vegetation removal in the Coastal Plain, hardening and ditching in the West, and hardening in Estuarine Woody wetlands. Relative risks above 3 were noted for heavy metals and soil phosphorus in the Interior Plains, and vegetation removal, vegetation replacement, and damming in Estuarine Woody wetlands. Relative and attributable risk were added to the data analyses tools used in the NWCA to improve the ability of survey results to assist managers and policy makers in setting priorities based on conditions observed on the ground. These analyses provide useful information to both individual site managers and regional-national policy makers.

Indexed as

WetlandsEnvironmental BiomarkersEnvironmental MonitoringHuman ActivitiesHumansPlantsRisk AssessmentSoilSoil PollutantsUnited StatesEnvironmental BiomarkersSoilSoil PollutantsAttributable riskEcological conditionHuman disturbanceIndicators of stressNational Wetland Condition AssessmentRelative riskStressor extentWetlands

Identifiers

PMID31222378
PMCPMC6586707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.