Evidence map›Paper›PMID 42376168›Full record

ArticleEcology and evolution2026

A Tale of Tail Loss: Fine-Scale Landscape Composition Predicts Caudal Autotomy Along an Urban Gradient in Two Congeneric Lizards.

Natan Gottari, Mattia Falaschi, Stéphanie Sherpa, Agostino Apa, Giulia Arioli, Klevisa Bezhani, Bruno D'Adda, Gentile Francesco Ficetola, Chiara Marialuisa Manzo, Francesco Rosadini and 1 more

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

11 authors.

Natan GottariDepartment of Biotechnologies e Biosciences Università Degli Studi di Milano-Bicocca Milan Italy.ORCID https://orcid.org/0009-0007-3428-8320
Mattia FalaschiDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.ORCID https://orcid.org/0000-0002-4511-4816
Stéphanie SherpaDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.ORCID https://orcid.org/0000-0001-9958-0073
Agostino ApaDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Giulia ArioliDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Klevisa BezhaniDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Bruno D'AddaDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Gentile Francesco FicetolaDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.ORCID https://orcid.org/0000-0003-3414-5155
Chiara Marialuisa ManzoDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Francesco RosadiniDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.
Andrea MelottoDepartment of Environmental Science and Policy Università Degli Studi di Milano Milan Italy.ORCID https://orcid.org/0000-0001-6783-1501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-modified landscapes alter species interactions, yet the spatial scale at which landscape features influence predator-prey interactions remains poorly understood. Caudal autotomy, a widespread antipredator defense in many reptile species, has been proposed as a proxy of predation pressure. We investigated landscape-scale variation in tail autotomy frequency in two synanthropic lizards,

Indexed as

landscape compositionPodarcis lizardspredator–prey interactionsspatial scaletail regenerationurban ecology

Identifiers

PMID42376168
PMCPMC13310963

What OpenQuestion holds

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Registered trials

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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.