Advances in wildlife abundance estimation using pedigree reconstruction.

Elias Rosenblatt, Scott Creel, Katherina Gieder, James Murdoch, Therese Donovan

Abstract read

In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Unraveling the Complexity of theEvolutionary applications · 2024
Review
Advances in wildlife abundance estimation using pedigree reconstruction.Ecology and evolution · 2023
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

5 authors.

Elias RosenblattVermont Cooperative Fish and Wildlife Research Unit, Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont USA.ORCID https://orcid.org/0000-0001-7241-2109

Scott CreelDepartment of Ecology Montana State University Bozeman Montana USA.

Katherina GiederVermont Fish and Wildlife Department Rutland Vermont USA.

James MurdochWildlife and Fisheries Biology Program, Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont USA.

Therese DonovanU.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conservation and management of wildlife populations, particularly for threatened and endangered species are greatly aided with abundance, growth rate, and density measures. Traditional methods of estimating abundance and related metrics represent trade-offs in effort and precision of estimates. Pedigree reconstruction is an emerging, attractive alternate approach because its use of one-time, noninvasive sampling of individuals to infer the existence of unsampled individuals. However, advances in pedigree reconstruction could improve its utility, including forming a measure of precision for the method, establishing required spatial sampling effort for accurate estimates, ascertaining the spatial extent of abundance estimates derived from pedigree reconstruction, and assessing how population density affects the estimator's performance. Using established relationships for a stochastic, spatially explicit simulated moose (

Indexed as

abundancedensitypedigree reconstructionpopulation monitoringsimulation

Identifiers

PMID37869434

DOI10.1002/ece3.10650

PMCPMC10585057

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.