Evidence map›Paper›PMID 24567833›Full record

ArticleEcology and evolution2013

Combining genetic and demographic data for prioritizing conservation actions: insights from a threatened fish species.

Ivan Paz-Vinas, Lise Comte, Mathieu Chevalier, Vincent Dubut, Charlotte Veyssiere, Gaël Grenouillet, Geraldine Loot, Simon Blanchet

Abstract read
In one paragraph

Article in Ecology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Ivan Paz-VinasUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; UMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France ; Centre National de la Recherche Scientifique (CNRS), Station d'Ecologie Expérimentale du CNRS à Moulis USR 2936, F-09200, Moulis, France.
Lise ComteUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; UMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France.
Mathieu ChevalierUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; UMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France ; UMR 5245 EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), CNRS F-31062, Toulouse, France.
Vincent DubutIMBE - UMR 7263, Aix-Marseille Université, CNRS, IRD Centre Saint-Charles, Case 36, 3 place Victor Hugo, F-13331, Marseille Cedex 3, France.
Charlotte VeyssiereUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; UMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France.
Gaël GrenouilletUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; UMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France.
Geraldine LootUMR 5174 (EDB) UPS, Université de Toulouse 118 route de Narbonne, F-31062, Toulouse Cedex, France ; Centre National de la Recherche Scientifique (CNRS), Station d'Ecologie Expérimentale du CNRS à Moulis USR 2936, F-09200, Moulis, France.
Simon BlanchetUMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier 118 route de Narbonne, F-31062, Toulouse Cedex 4, France ; Centre National de la Recherche Scientifique (CNRS), Station d'Ecologie Expérimentale du CNRS à Moulis USR 2936, F-09200, Moulis, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prioritizing and making efficient conservation plans for threatened populations requires information at both evolutionary and ecological timescales. Nevertheless, few studies integrate multidisciplinary approaches, mainly because of the difficulty for conservationists to assess simultaneously the evolutionary and ecological status of populations. Here, we sought to demonstrate how combining genetic and demographic analyses allows prioritizing and initiating conservation plans. To do so, we combined snapshot microsatellite data and a 30-year-long demographic survey on a threatened freshwater fish species (Parachondrostoma toxostoma) at the river basin scale. Our results revealed low levels of genetic diversity and weak effective population sizes (<63 individuals) in all populations. We further detected severe bottlenecks dating back to the last centuries (200-800 years ago), which may explain the differentiation of certain populations. The demographic survey revealed a general decrease in the spatial distribution and abundance of P. toxostoma over the last three decades. We conclude that demo-genetic approaches are essential for (1) identifying populations for which both evolutionary and ecological extinction risks are high; and (2) proposing conservation plans targeted toward these at risk populations, and accounting for the evolutionary history of populations. We suggest that demo-genetic approaches should be the norm in conservation practices. We combined genetic and demographic data from a threatened freshwater fish species (Parachondrostoma toxostoma) at the river basin scale for conservation purposes. Genetic diversity and effective population sizes are very low, probably due to the strong genetic bottlenecks detected in this study. The species spatial distribution and abundance also decreased during the last decades.

Indexed as

Bottleneckconservation geneticsdemographic surveyParachondrostoma toxostomariversspecies distribution modelstemporal trends

Identifiers

PMID24567833
PMCPMC3930054

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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.