Evidence map›Paper›PMID 36676015›Full record

ArticleLife (Basel, Switzerland)2022

Spatial and Temporal Adaptations of Lowland Tapirs (

Kathrin Burs, Lydia Möcklinghoff, Marinez Isaac Marques, Karl-L Schuchmann

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 2 countries.

Kathrin BursComputational Bioacoustics Research Unit (CO.BRA), National Institute for Science and Technology in Wetlands (INAU), Federal University of Mato Grosso (UFMT), Fernando Correa da Costa Av. 2367, Cuiabá 78060-900, MT, Brazil.ORCID 0000-0001-9455-5063
Lydia MöcklinghoffComputational Bioacoustics Research Unit (CO.BRA), National Institute for Science and Technology in Wetlands (INAU), Federal University of Mato Grosso (UFMT), Fernando Correa da Costa Av. 2367, Cuiabá 78060-900, MT, Brazil.
Marinez Isaac MarquesComputational Bioacoustics Research Unit (CO.BRA), National Institute for Science and Technology in Wetlands (INAU), Federal University of Mato Grosso (UFMT), Fernando Correa da Costa Av. 2367, Cuiabá 78060-900, MT, Brazil.ORCID 0000-0002-9890-8505
Karl-L SchuchmannComputational Bioacoustics Research Unit (CO.BRA), National Institute for Science and Technology in Wetlands (INAU), Federal University of Mato Grosso (UFMT), Fernando Correa da Costa Av. 2367, Cuiabá 78060-900, MT, Brazil.ORCID 0000-0002-3233-8917
Universidade Federal de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pantanal is one of the most conserved wetland ecosystems in Brazil and a hotspot for biodiversity. Over the last decades intensification of human activities has become a major threat to the stability of the unique landscape. To establish effective conservation actions, it is essential to understand how species respond to anthropogenic and environmental regional factors. Here, data from two multiannual camera trap studies, one in the northern Pantanal and one in the southern Pantanal, were used to investigate the effects of habitat characteristics, seasons, and human interactions on the spatial and temporal patterns of lowland tapirs (

Indexed as

anthropogenic impactcamera trapsenvironmental impactPantanalspatial adaptationTapirus terrestristemporal adaptation

Identifiers

PMID36676015
PMCPMC9866631
OpenAlexW4313259779

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.