Evidence map›Paper›PMID 36693827›Full record

ArticleNature communications2023

Socioeconomic factors predict population changes of large carnivores better than climate change or habitat loss.

Thomas F Johnson, Nick J B Isaac, Agustin Paviolo, Manuela González-Suárez

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Treating gaps and biases in biodiversity data as a missing data problem.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  4. Reeve's Muntjac (Animals : an open access journal from MDPI · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Thomas F JohnsonEcology and Evolutionary Biology, School of Biological Sciences, University of Reading, Reading, RG6 6EX, UK. Thomas.frederick.johnson@outlook.com.ORCID 0000-0002-6363-1825
Nick J B IsaacUK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK.ORCID 0000-0002-4869-8052
Agustin PavioloInstituto de Biología Subtropical, CONICET-Universidad Nacional de Misiones, Bertoni 85, (N3370AIA), Puerto Iguazú, Misiones, Argentina.
Manuela González-SuárezEcology and Evolutionary Biology, School of Biological Sciences, University of Reading, Reading, RG6 6EX, UK.ORCID 0000-0001-5069-8900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land-use and climate change have been linked to changes in wildlife populations, but the role of socioeconomic factors in driving declines, and promoting population recoveries, remains relatively unexplored. Here, we evaluate potential drivers of population changes observed in 50 species of some of the world's most charismatic and functionally important fauna-large mammalian carnivores. Our results reveal that human socioeconomic development is more associated with carnivore population declines than habitat loss or climate change. Rapid increases in socioeconomic development are linked to sharp population declines, but, importantly, once development slows, carnivore populations have the potential to recover. The context- and threshold-dependent links between human development and wildlife population health are challenges to the achievement of the UN Sustainable development goals.

Indexed as

CarnivoraClimate ChangeAnimalsAnimals, WildConservation of Natural ResourcesEcosystemHumansSocioeconomic Factors

Identifiers

PMID36693827
PMCPMC9873912

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.