Evidence map›Paper›PMID 37664516›Full record

ArticleEcology and evolution2023

Opportunities and challenges for monitoring a recolonizing large herbivore using citizen science.

Emu-Felicitas Ostermann-Miyashita, Hendrik Bluhm, Kornelia Dobiáš, Nina Gandl, Sophia Hibler, Samantha Look, Frank-Uwe Michler, Leonie Weltgen, Aleksandra Smaga, Hannes J König and 2 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Emu-Felicitas Ostermann-MiyashitaFaculty of Life Sciences Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu Berlin Berlin Germany.ORCID https://orcid.org/0000-0002-5270-5737
Hendrik BluhmGeography Department Humboldt-Universität zu Berlin Berlin Germany.ORCID https://orcid.org/0000-0001-7809-3321
Kornelia DobiášLandesbetrieb Forst Brandenburg Abt. 4 Landeskompetenzzentrum Forst Eberswalde (LFE) Eberswalde Germany.
Nina GandlWWF Deutschland Berlin Germany.
Sophia HiblerLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg Germany.ORCID https://orcid.org/0000-0003-0704-0729
Samantha LookWWF Deutschland Berlin Germany.
Frank-Uwe MichlerFaculty of Forest and Environment Eberswalde University for Sustainable Development Eberswalde Germany.ORCID https://orcid.org/0000-0001-9849-9054
Leonie WeltgenWWF Deutschland Berlin Germany.
Aleksandra SmagaZachodniopomorskie Towarzystwo Przyrodnicze Dzika Zagroda Mirosławiec Poland.
Hannes J KönigFaculty of Life Sciences Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu Berlin Berlin Germany.ORCID https://orcid.org/0000-0002-4980-7388
Tobias KuemmerleGeography Department Humboldt-Universität zu Berlin Berlin Germany.ORCID https://orcid.org/0000-0002-9775-142X
Christian KiffnerLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg Germany.ORCID https://orcid.org/0000-0002-7475-9023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring is a prerequisite for evidence-based wildlife management and conservation planning, yet conventional monitoring approaches are often ineffective for species occurring at low densities. However, some species such as large mammals are often observed by lay people and this information can be leveraged through citizen science monitoring schemes. To ensure that such wildlife monitoring efforts provide robust inferences, assessing the quantity, quality, and potential biases of citizen science data is crucial. For Eurasian moose (

Indexed as

Alces alcesbiodiversity monitoringelkhuman–wildlife coexistencelarge‐mammal comebackparticipatory research

Identifiers

PMID37664516
PMCPMC10474824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.