Evidence map›Paper›PMID 35866025›Full record

ArticleEcology and evolution2022

Traits and ecological space availability predict avian densities at the country scale of the Czech Republic.

David Hořák, Javier Rivas-Salvador, Jan Farkač, Jiří Reif

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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.

David HořákDepartment of Ecology, Faculty of Science Charles University Prague Czech Republic.ORCID https://orcid.org/0000-0002-8073-1617
Javier Rivas-SalvadorInstitute of Environmental Sciences, Faculty of Science Charles University Prague Czech Republic.ORCID https://orcid.org/0000-0001-6629-9146
Jan FarkačDepartment of Ecology, Faculty of Science Charles University Prague Czech Republic.
Jiří ReifInstitute of Environmental Sciences, Faculty of Science Charles University Prague Czech Republic.ORCID https://orcid.org/0000-0003-2553-7333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species' geographical distributions and abundances are a central focus of current ecological research. Although multiple studies have been conducted on their elucidation, some important information is still missing. One of them is the knowledge of ecological traits of species responsible for the population density variations across geographical (i.e., total physical area) and ecological spaces (i.e., suitable habitat area). This is crucial for understanding how ecological specialization shapes the geographical distribution of species, and provides key knowledge about the sensitivity of species to current environmental challenges. Here, we precisely describe habitat availability for individual species using fine-scale field data collected across the entire Czech Republic. In the next step, we used this information to test the relationships between bird traits and country-scale estimates of population densities assessed in both geographical and ecological spaces. We did not find any effect of habitat specialization on avian density in geographical space. But when we recalculated densities for ecological space available, we found a positive correlation with habitat specialization. Specialists occur at higher densities in suitable habitats. Moreover, birds with arboreal and hole-nesting strategies showed higher densities in both geographical and ecological spaces. However, we found no significant effects of morphological (body mass and structural body size) and reproductive (position along the slow-fast life-history continuum) traits on avian densities in either geographical or ecological space. Our findings suggest that ecological space availability is a strong determinant of avian abundance and highlight the importance of precise knowledge of species-specific habitat requirements. Revival of this classical but challenging ecological topic of habitat-specific densities is needed for both proper understanding of pure ecological issues and practical steps in the conservation of nature.

Indexed as

abundancebirdsecological spaceecological traitsspecialization

Identifiers

PMID35866025
PMCPMC9289119

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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.