Evidence map›Paper›PMID 42839953›Full record

ArticleEcology and evolution2026

Measuring Bird Morphology From Field Photographs.

Facundo X Palacio, Evaristo Elso, Diego Montalti

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. 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
–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

0 citing papers in PubMed.

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

3 authors.

Facundo X PalacioSección Ornitología, División Zoología Vertebrados, Facultad de Ciencias Naturales y Museo Universidad Nacional de La Plata La Plata Buenos Aires Argentina.ORCID https://orcid.org/0000-0002-6536-1400
Evaristo ElsoSección Ornitología, División Zoología Vertebrados, Facultad de Ciencias Naturales y Museo Universidad Nacional de La Plata La Plata Buenos Aires Argentina.ORCID https://orcid.org/0009-0008-9156-5782
Diego MontaltiSección Ornitología, División Zoología Vertebrados, Facultad de Ciencias Naturales y Museo Universidad Nacional de La Plata La Plata Buenos Aires Argentina.ORCID https://orcid.org/0000-0002-9727-8425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphometric measurements are among the most important phenotypic traits in birds. However, traditional linear measurements can be invasive, are often limited to species that are easier to capture, may be constrained in challenging environments, and typically allow for lower sampling efficiency per unit time. We applied a digital photography approach based on the "pinhole camera model" using an experimental setup with four bird species. We assessed the performance of this approach by varying elevation angles, distances to the subject, and orientations relative to the focal plane to estimate body, tarsus, wing, and bill length. We then extended this approach to 37 bird species photographed in the field and compared our estimates with measurements derived from a global database and museum specimens. We evaluated the performance of single-species trait estimation and the ability to infer community-level metrics that incorporate trait diversity. Under optimal viewing conditions (0° relative to the focal plane), body and wing length showed the smallest biases in the experimental setting, ranging from approximately 1%-6% and 1%-9%, respectively. Tarsus and bill length exhibited larger biases, ranging from about 5%-12% and 2%-15%, respectively. We found strong correlations between traits derived from photographic measurements and those obtained from both the global database and our own museum specimens (

Indexed as

digital photographymorphometric measurementsphotogrammetrypinhole camera model

Identifiers

PMID42839953
PMCPMC13638267

What OpenQuestion holds

Textmetadata
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.