Evidence map›Paper›PMID 31891594›Full record

ArticlePloS one2019

Applying circuit theory and landscape linkage maps to reintroduction planning for California Condors.

Jesse D'Elia, Joseph Brandt, L Joseph Burnett, Susan M Haig, Jeff Hollenbeck, Steve Kirkland, Bruce G Marcot, Arianna Punzalan, Christopher J West, Tiana Williams-Claussen and 2 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Jesse D'EliaPacific Regional Office, U.S. Fish and Wildlife Service, Portland, Oregon, United States of America.ORCID 0000-0002-1843-8495
Joseph BrandtCalifornia Condor Recovery Office, U.S. Fish and Wildlife Service, Ventura, California, United States of America.
L Joseph BurnettVentana Wildlife Society, Monterey, California, United States of America.
Susan M HaigForest and Rangeland Ecosystem Science Center, U.S. Geological Survey, Corvallis, Oregon, United States of America.
Jeff HollenbeckThe Northwest Habitat Institute, Corvallis, Oregon, United States of America.
Steve KirklandCalifornia Condor Recovery Office, U.S. Fish and Wildlife Service, Ventura, California, United States of America.
Bruce G MarcotPacific Northwest Research Station, U.S. Forest Service, Portland, Oregon, United States of America.
Arianna PunzalanDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, Colorado, United States of America.
Christopher J WestWildlife Program, Yurok Tribe, Klamath, California, United States of America.ORCID 0000-0001-8820-2237
Tiana Williams-ClaussenWildlife Program, Yurok Tribe, Klamath, California, United States of America.
Rachel WolstenholmePinnacles National Park, U.S. National Park Service, Paicines, California, United States of America.
Rich YoungPacific Regional Office, U.S. Fish and Wildlife Service, Portland, Oregon, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conservation practitioners are increasingly looking to species translocations as a tool to recover imperiled taxa. Quantitative predictions of where animals are likely to move when released into new areas would allow managers to better address the social, institutional, and ecological dimensions of conservation translocations. Using >5 million California condor (Gymnogyps californianus) occurrence locations from 75 individuals, we developed and tested circuit-based models to predict condor movement away from release sites. We found that circuit-based models of electrical current were well calibrated to the distribution of condor movement data in southern and central California (continuous Boyce Index = 0.86 and 0.98, respectively). Model calibration was improved in southern California when additional nodes were added to the circuit to account for nesting and feeding areas, where condor movement densities were higher (continuous Boyce Index = 0.95). Circuit-based projections of electrical current around a proposed release site in northern California comported with the condor's historical distribution and revealed that, initially, condor movements would likely be most concentrated in northwestern California and southwest Oregon. Landscape linkage maps, which incorporate information on landscape resistance, complement circuit-based models and aid in the identification of specific avenues for population connectivity or areas where movement between populations may be constrained. We found landscape linkages in the Coast Range and the Sierra Nevada provided the most connectivity to a proposed reintroduction site in northern California. Our methods are applicable to conservation translocations for other species and are flexible, allowing researchers to develop multiple competing hypotheses when there are uncertainties about landscape or social attractants, or uncertainties in the landscape conductance surface.

Indexed as

AnimalsCaliforniaConservation of Natural ResourcesEndangered SpeciesFalconiformesGeographic Information SystemsModels, TheoreticalPopulation Dynamics

Identifiers

PMID31891594
PMCPMC6938332

What OpenQuestion holds

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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.