Evidence map›Paper›PMID 37889338›Full record

ArticleDie Naturwissenschaften2023

Modelling the effects of climate and land-cover changes on the potential distribution and landscape connectivity of three earth snakes (Genus Conopsis, Günther 1858) in central Mexico.

Armando Sunny, Javier Manjarrez, Carmen Caballero-Viñas, René Bolom-Huet, Yuriana Gómez-Ortiz, Hublester Domínguez-Vega, Rosa Laura Heredia-Bobadilla, Erik Joaquín Torres-Romero, Andrea González-Fernández

Abstract read
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In one paragraph

Article in Die Naturwissenschaften, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
7.3field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 1 country.

Armando SunnyCentro de Investigación en Ciencias Biológicas Aplicadas, Universidad Autónoma del Estado de México, Instituto Literario 100, Colonia Centro, 50000, Toluca, Estado de México, Mexico. sunny.biologia@gmail.com.ORCID http://orcid.org/0000-0003-4685-5322
Javier ManjarrezLaboratorio de Biología Evolutiva, Facultad de Ciencias, Universidad Autónoma del Estado de México, Instituto Literario 100, Colonia Centro, 50000, Toluca, Estado de México, Mexico.
Carmen Caballero-ViñasInstituto de Geología, Departamento de Paleontología, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
René Bolom-HuetCentro de Investigación en Ciencias Biológicas Aplicadas, Universidad Autónoma del Estado de México, Instituto Literario 100, Colonia Centro, 50000, Toluca, Estado de México, Mexico.
Yuriana Gómez-OrtizDivisión de Desarrollo Sustentable, Universidad Intercultural del Estado de México, Libramiento Francisco Villa SN, 50640, San Felipe del Progreso, Estado de México, Mexico.
Hublester Domínguez-VegaDivisión de Desarrollo Sustentable, Universidad Intercultural del Estado de México, Libramiento Francisco Villa SN, 50640, San Felipe del Progreso, Estado de México, Mexico.
Rosa Laura Heredia-BobadillaCentro de Investigación en Ciencias Biológicas Aplicadas, Universidad Autónoma del Estado de México, Instituto Literario 100, Colonia Centro, 50000, Toluca, Estado de México, Mexico.
Erik Joaquín Torres-RomeroIngeniería en Biotecnología, Universidad Politécnica de Puebla, San Mateo Cuanalá, Juan C. Bonilla, 72640, Puebla, Mexico.
Andrea González-FernándezLaboratorio de Análisis Geo-Espacial (LAGE), Instituto de Geografía, Universidad Nacional Autónoma de México (UNAM), Circuito Exterior S/N, Coyoacán, Cd. Universitaria, 04510, Mexico City, Mexico.
Universidad Autónoma del Estado de México · MXUniversidad Intercultural del Estado de México · MXUniversidad Nacional Autónoma de México · MXUniversidad Politécnica de Puebla · MX

Funding

Universidad Autónoma del Estado de México 4732/2019CIB
6 · The paper itself

Abstract

Anthropogenic land use and climate change are the greatest threats to biodiversity, especially for many globally endangered reptile species. Earth snakes (Conopsis spp.) are a poorly studied group endemic to Mexico. They have limited dispersal abilities and specialized niches, making them particularly vulnerable to anthropogenic threats. Species distribution models (SDMs) were used to assess how future climate and land-cover change scenarios might influence the distribution and habitat connectivity of three earth snakes: Conopsis biserialis (Taylor and Smith), C. lineata (Kennicott), and C. nasus (Günther). Two climate models, CNRM-CM5 (CN) and MPI-ESM-LR (MP) (Representative Concentration Pathway 85), were explored with ENMeval Maxent modelling. Important SDM environmental variables and environmental niche overlap between species were also examined. We found that C. biserialis and C. lineata were restricted by maximum temperatures whereas C. nasus was restricted by minimum ones and was more tolerant to arid vegetation. C. biserialis and C. lineata were primarily distributed in the valleys and mountains of the highlands of the TMBV, while C. nasus was mainly distributed in the Altiplano Sur (Zacatecano-Potosino). C. lineata had the smallest potential distribution and suffered the greatest contraction in the future whereas C. nasus was the least affected species in future scenarios. The Sierra de las Cruces and the Sierra Chichinautzin were identified as very important areas for connectivity. Our results suggest that C. lineata may be the most vulnerable of the three species to anthropogenic and climate changes whereas C. nasus seems to be less affected by global warming than the other species.

Indexed as

BiodiversityEcosystemClimate ChangeMexicoClimate change, Landscape connectivityConopsis biserialisConopsis lineataConopsis nasusTrans-Mexican Volcanic Belt

Identifiers

PMID37889338
OpenAlexW4387966126

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.