Evidence map›Paper›PMID 36047692›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2023

Exploring metapopulation-scale suppression alternatives for a global invader in a river network experiencing climate change.

Brian D Healy, Phaedra Budy, Charles B Yackulic, Brendan P Murphy, Robert C Schelly, Mark C McKinstry

Open access · hybridAbstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

1 citing paper in PubMed, 17 citations in OpenAlex.

  1. 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 at 5 institutions in 2 countries.

Brian D HealyDepartment of Watershed Sciences and the Ecology Center, Utah State University, Logan, Utah, USA.ORCID 0000-0002-4402-638X
Phaedra BudyU.S. Geological Survey, Utah Cooperative Fish and Wildlife Research Unit, Department of Watershed Sciences, Utah State University, Logan, Utah, USA.ORCID 0000-0002-9918-1678
Charles B YackulicU.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, Arizona, USA.
Brendan P MurphySchool of Environmental Science, Simon Fraser University, Vancouver, British Columbia, Canada.
Robert C SchellyNative Fish Ecology and Conservation Program, Division of Science and Resource Management, Grand Canyon National Park, National Park Service, Flagstaff, Arizona, USA.
Mark C McKinstryUpper Colorado Regional Office, U.S. Bureau of Reclamation, Salt Lake City, Utah, USA.
Utah State University · USNational Park Service · USSimon Fraser University · CAUnited States Bureau of Reclamation · USUnited States Geological Survey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive species can dramatically alter ecosystems, but eradication is difficult, and suppression is expensive once they are established. Uncertainties in the potential for expansion and impacts by an invader can lead to delayed and inadequate suppression, allowing for establishment. Metapopulation viability models can aid in planning strategies to improve responses to invaders and lessen invasive species' impacts, which may be particularly important under climate change. We used a spatially explicit metapopulation viability model to explore suppression strategies for ecologically damaging invasive brown trout (Salmo trutta), established in the Colorado River and a tributary in Grand Canyon National Park. Our goals were to estimate the effectiveness of strategies targeting different life stages and subpopulations within a metapopulation; quantify the effectiveness of a rapid response to a new invasion relative to delaying action until establishment; and estimate whether future hydrology and temperature regimes related to climate change and reservoir management affect metapopulation viability and alter the optimal management response. Our models included scenarios targeting different life stages with spatially varying intensities of electrofishing, redd destruction, incentivized angler harvest, piscicides, and a weir. Quasi-extinction (QE) was obtainable only with metapopulation-wide suppression targeting multiple life stages. Brown trout population growth rates were most sensitive to changes in age 0 and large adult mortality. The duration of suppression needed to reach QE for a large established subpopulation was 12 years compared with 4 with a rapid response to a new invasion. Isolated subpopulations were vulnerable to suppression; however, connected tributary subpopulations enhanced metapopulation persistence by serving as climate refuges. Water shortages driving changes in reservoir storage and subsequent warming would cause brown trout declines, but metapopulation QE was achieved only through refocusing and increasing suppression. Our modeling approach improves understanding of invasive brown trout metapopulation dynamics, which could lead to more focused and effective invasive species suppression strategies and, ultimately, maintenance of populations of endemic fishes.

Indexed as

EcosystemRiversAnimalsClimate ChangeConservation of Natural ResourcesTroutconservaciónconservationdemographic ratesdinámicas poblacionalesecología de flujosespecie introducidaflow-ecologyintroduced speciesLefkovitch matrixLefkovitch矩阵matriz de Lefkovitchnon-native salmonidpopulation dynamicssalmónido no nativotasas demográficas保护外来鲑科鱼类引入物种流量生态学种群动态种群统计

Identifiers

PMID36047692
PMCPMC10107352
OpenAlexW4294024549

What OpenQuestion holds

Textmetadata
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.