Evidence map›Paper›PMID 41815636›Full record

ArticleEcosphere (Washington, D.C)2025

A model-based assessment of anthropogenic disturbance on lotic macroinvertebrate assemblages.

Darin A Kopp, John L Stoddard, Philip R Kaufmann, Alan T Herlihy, Ryan A Hill, Meredith M Brehob, Robert D Sabo

Abstract read
In one paragraph

Article in Ecosphere (Washington, D.C), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Darin A KoppUnited States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Corvallis, Oregon, USA.ORCID 0000-0002-2506-5762
John L StoddardUnited States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Corvallis, Oregon, USA.
Philip R KaufmannUnited States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Corvallis, Oregon, USA.
Alan T HerlihyDepartment of Fisheries, Wildlife, & Conservation Sciences, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0001-5812-7408
Ryan A HillUnited States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Corvallis, Oregon, USA.ORCID 0000-0001-9583-0426
Meredith M BrehobOak Ridge Institute for Science and Education, Participant c/o US EPA, ORD, Washington, DC, USA.
Robert D SaboUnited States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Washington, DC, USA.ORCID 0000-0001-8713-7699

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Traditionally, the effects of anthropogenic disturbance on biological assemblages are elucidated by comparing an assemblage observed at a site to one that represents a minimally disturbed state. Unfortunately, defining a minimally disturbed state is extremely challenging because of the extent of human disturbance. We use a national scale dataset and a model-based approach to assess how benthic macroinvertebrate assemblages at 1748 sites would change if common anthropogenic disturbances were removed from in-stream physiochemical variables. First, we used random forest models and current landscape data to predict physiochemical conditions and then infer abiotic condition in the absence of disturbance. Second, we combined these estimates with joint species distribution models to predict the assemblage that could occur in these undisturbed conditions. Random forest models explained 48%-75% of the variation in log-transformed total nitrogen, phosphorus, sulfate, chloride, and substrate diameter. Generally, nutrient and salinity concentrations were higher, and substrates were finer than predicted to be without disturbances. Using these physiochemical data, joint species distribution models, fitted to nine separate ecoregions, accurately explained genus richness (

Indexed as

benthic macroinvertebratejoint species distribution modelingNational Aquatic Resource SurveysNational Rivers and Streams Assessmentreference conditionrichness

Identifiers

PMID41815636
PMCPMC12973236

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.