Evidence map›Paper›PMID 27453686›Full record

ArticleDiversity & distributions2016

Integrating phylogeography and species distribution models: cryptic distributional responses to past climate change in an endemic rodent from the central Chile hotspot.

Pablo Gutiérrez-Tapia, R Eduardo Palma

Abstract read
In one paragraph

Article in Diversity & distributions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Rodent-Borne Parasites and Human Disease: A Growing Public Health Concern.Animals : an open access journal from MDPI · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

2 authors.

Pablo Gutiérrez-TapiaLaboratorio de Biología Evolutiva, Departamento de Ecología, Pontificia Universidad Católica de Chile, Casilla 114-D, Santiago 6513677, Chile.
R Eduardo PalmaLaboratorio de Biología Evolutiva, Departamento de Ecología, Pontificia Universidad Católica de Chile, Casilla 114-D, Santiago 6513677, Chile.

Funding

Virology/Immunology CoreU19AI045452 · NIAID · UNIVERSITY OF NEW MEXICO · PI MERTZ, GREGORY JAMES · 1999 to 2009
$8.7M
NIAID NIH HHS U19 AI045452
6 · The paper itself

Abstract

aimBiodiversity losses under the species level may have been severely underestimated in future global climate change scenarios. Therefore, it is important to characterize the diversity units at this level, as well as to understand their ecological responses to climatic forcings. We have chosen an endemic rodent from a highly endangered ecogeographic area as a model to look for distributional responses below the species level: LOCATION: The central Chile biodiversity hotspot: This area harbours a high number of endemic species, and it is known to have experienced vegetational displacements between two mountain systems during and after the Last Glacial Maximum.

methodsWe have characterized cryptic lineages inside

resultsThe species is composed of two major phylogroups: one of them has a broad distribution mainly across the valley but also in mountain ranges, whereas the other displays a disjunct distribution across both mountain ranges and always above 1500 m. The lineage distribution model under LGM climatic conditions suggests that both lineages were co-distributed in the southern portion of MAIN

conclusionsPresent distribution of lineages in

Indexed as

Biodiversity hotspotscentral Chilecryptic diversitydistribution modelsLast Glacial Maximumpast climate changePhyllotis darwiniphylogeography

Identifiers

PMID27453686
PMCPMC4950956

What OpenQuestion holds

Textmetadata
LicenceTDM
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.