Evidence map›Paper›PMID 31300735›Full record

ArticleScientific reports2019

Biological and Sociopolitical Sources of Uncertainty in Population Viability Analysis for Endangered Species Recovery Planning.

Carlos Carroll, Robert C Lacy, Richard J Fredrickson, Daniel J Rohlf, Sarah A Hendricks, Michael K Phillips

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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

6 authors.

Carlos CarrollKlamath Center for Conservation Research, Orleans, CA, 95556, USA. carlos@klamathconservation.org.ORCID http://orcid.org/0000-0002-7697-8721
Robert C LacySpecies Conservation Toolkit Initiative, Chicago Zoological Society, Brookfield, IL, 60513, USA.
Richard J Fredrickson, Missoula, MT, 59812, USA.ORCID http://orcid.org/0000-0002-1356-3713
Daniel J RohlfEarthrise Law Center, Lewis and Clark Law School, Portland, OR, 97219, USA.
Sarah A HendricksInstitute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, 83844, USA.ORCID http://orcid.org/0000-0001-9571-9461
Michael K PhillipsTurner Endangered Species Fund, 901 Technology Blvd, Bozeman, Montana, 59718, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although population viability analysis (PVA) can be an important tool for strengthening endangered species recovery efforts, the extent to which such analyses remain embedded in the social process of recovery planning is often unrecognized. We analyzed two recovery plans for the Mexican wolf that were developed using similar data and methods but arrived at contrasting conclusions as to appropriate recovery goals or criteria. We found that approximately half of the contrast arose from uncertainty regarding biological data, with the remainder divided between policy-related decisions and mixed biological-policy factors. Contrasts arose from both differences in input parameter values and how parameter uncertainty informed the level of precaution embodied in resulting criteria. Policy-related uncertainty originated from contrasts in thresholds for acceptable risk and disagreement as to how to define endangered species recovery. Rather than turning to PVA to produce politically acceptable definitions of recovery that appear science-based, agencies should clarify the nexus between science and policy elements in their decision processes. The limitations we identify in endangered-species policy and how PVAs are conducted as part of recovery planning must be addressed if PVAs are to fulfill their potential to increase the odds of successful conservation outcomes.

Indexed as

Endangered SpeciesWolvesAnimalsConservation of Natural ResourcesFemaleFertilityGenetic VariationInbreedingMaleMexicoMortalityPlanning TechniquesPopulation DensityPopulation DynamicsPublic OpinionStochastic Processes

Identifiers

PMID31300735
PMCPMC6626004

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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.