Evidence map›Paper›PMID 30891230›Full record

ArticleEcology and evolution2019

The role of age of first breeding in modeling raptor reintroductions.

Virginia Morandini, Sabrina Dietz, Ian Newton, Miguel Ferrer

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Age-specific survival rates, causes of death, and allowable take of golden eagles in the western United States.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  4. Article
  5. 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

4 authors at 3 institutions in 3 countries.

Virginia MorandiniOregon Cooperative Fish and Wildlife Research Unit, Department of Fisheries and Wildlife Oregon State University Corvallis Oregon.ORCID https://orcid.org/0000-0003-0665-5713
Sabrina DietzApplied Ecology Group Estación Biológica de Doñana (EBD-CSIC) Seville Spain.
Ian NewtonCentre for Ecology & Hydrology Wallingford UK.
Miguel FerrerApplied Ecology Group Estación Biológica de Doñana (EBD-CSIC) Seville Spain.ORCID https://orcid.org/0000-0003-0092-8450
Estación Biológica de Doñana · ESOregon Department of Fish and Wildlife · USUK Centre for Ecology & Hydrology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present biodiversity crisis has led to an increasing number of reintroduction programs, and this conservation method is likely to be increasingly used in the future, especially in the face of climate change. Many fundamental questions in population ecology are focused on the mechanisms through which populations escape extinction.Population viability analysis (PVA) is the most common procedure for analyzing extinction risk. In the use of PVA to model the trajectories of reintroduced populations, demographic values are sometimes taken from other existing wild populations or even from individuals in captivity.Density dependence in productivity is usually considered in viability models, but density-dependent variation in age of first breeding is usually ignored. Nevertheless, age of first breeding has a buffering effect on population fluctuations and in consequence on population persistence.We simulated the viability of Spanish Imperial Eagle (

Indexed as

age of first breedingAquila adalbertiOspreyPandion haliaetusproductivityPVAreintroductionSpanish imperial eagle

Identifiers

PMID30891230
PMCPMC6405524
OpenAlexW2916644031

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.