Evidence map›Paper›PMID 42306541›Full record

ArticleEcology and evolution2026

Using Landsat Satellite Imagery to Investigate Spatial and Temporal Variation in Life History Traits in a Long-Term Study Population of Superb Fairy-Wrens

Richard S Turner, Ophélie J D Lasne, Lei Lv, Helen L Osmond, Andrew Cockburn, Loeske E B Kruuk, Kara N Youngentob

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

7 authors.

Richard S TurnerDivision of Ecology & Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia.ORCID https://orcid.org/0009-0005-4278-2148
Ophélie J D LasneDivision of Ecology & Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia.
Lei LvSchool of Ecology Hainan University Haikou China.
Helen L OsmondDivision of Ecology & Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia.
Andrew CockburnDivision of Ecology & Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia.
Loeske E B KruukDivision of Ecology & Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia.
Kara N YoungentobThe Fenner School of Environment & Society Australian National University Canberra Australian Capital Territory Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term, individual-level studies can provide valuable insights into the effects of climate and landscape change on the ecology and population dynamics of wild animals. However, many such studies lack environmental data collected at the spatial and temporal resolutions needed to determine how populations respond to changing conditions. In these cases, the retrospective use of satellite-derived data can provide a way to recover past environmental information. Using a 27-year dataset of an Australian insectivorous passerine, the superb fairy-wren

Indexed as

avian life historiesclimate changeLandsatMalurus cyaneusNDVIsatellite imageryvegetation productivity

Identifiers

PMID42306541
PMCPMC13265397

What OpenQuestion holds

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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.