Evidence map›Paper›PMID 30392035›Full record

ArticleAmbio2019

Bridging conservation science and traditional knowledge of wild animals: The need for expert guidance and inclusion of local knowledge holders.

Viktor Ulicsni, Dániel Babai, Csaba Vadász, Vera Vadász-Besnyői, András Báldi, Zsolt Molnár

Abstract read
In one paragraph

Article in Ambio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Urban Stone Marten (Ecology and evolution · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Traditional ecological knowledge for great ape conservation in Gabon.Journal of ethnobiology and ethnomedicine · 2025
    Article
  6. 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

6 authors.

Viktor UlicsniMTA Centre for Ecological Research, Klebelsberg Kuno u. 3, Tihany, 8237, Hungary. ulicsni.viktor@okologia.mta.hu.ORCID http://orcid.org/0000-0002-3549-7972
Dániel BabaiInstitute of Ethnology, MTA Research Centre for the Humanities, Tóth Kálmán u. 4, Budapest, 1097, Hungary.
Csaba VadászKiskunsági National Park, Liszt Ferenc utca 19, Kecskemét, 6000, Hungary.
Vera Vadász-BesnyőiInstitute of Botany and Ecophysiology, Szent István University, Páter K. u. 1, Gödöllő, 2100, Hungary.
András BáldiMTA Centre for Ecological Research, Klebelsberg Kuno u. 3, Tihany, 8237, Hungary.
Zsolt MolnárMTA Centre for Ecological Research, Klebelsberg Kuno u. 3, Tihany, 8237, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many people call for strengthening knowledge co-production between academic science and indigenous and local knowledge systems. A major barrier to cooperation seems to be a lack of experience regarding where and how traditional knowledge can be found and obtained. Our key question was whether the expert judgment of academic zoologists or a feature-based linear model is better at predicting the observed level of local familiarity with wild animal species. Neither the zoologists nor the model proved sufficiently accurate (70 and 60%, respectively), with the inaccuracy probably resulting from inadequate knowledge of the local ecological and cultural specificities of the species. This indicates that more knowledge is likely to come from local knowledge than zoologists would expect. Accuracy of targeting the relevant species for knowledge co-production could be improved through specific understanding of the local culture, provided by experts who study traditional zoological knowledge and by local knowledge holders themselves.

Indexed as

BiodiversityConservation of Natural ResourcesEcologyKnowledgeBiodiversity assessmentsConservation policyIndigenous and local knowledge (ILK)Knowledge co-productionKnowledge systemsTraditional ecological knowledge (TEK)

Identifiers

PMID30392035
PMCPMC6509273

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.