Evidence map›Paper›PMID 37405993›Full record

ArticlePloS one2023

Abundance of Dendroctonus frontalis and D. mexicanus (Coleoptera: Scolytinae) along altitudinal transects in Mexico: Implications of climatic change for forest conservation.

Cuauhtémoc Sáenz-Romero, Víctor Hugo Cambrón-Sandoval, William Hammond, Jorge Méndez-González, Hugo Luna-Soria, Jorge E Macías-Sámano, Mariela Gómez-Romero, Oscar Trejo-Ramírez, Craig D Allen, Erika Gómez-Pineda and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

11 authors at 8 institutions in 4 countries.

Cuauhtémoc Sáenz-RomeroInstituto de Investigaciones sobre los Recursos Naturales, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México.ORCID 0000-0002-8945-3959
Víctor Hugo Cambrón-SandovalFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro, Querétaro, México.
William HammondAgronomy Department, University of Florida, Gainesville, Florida, United States of America.
Jorge Méndez-GonzálezDepartamento Forestal, Universidad Autónoma Agraria Antonio Narro, Saltillo, Coahuila, México.
Hugo Luna-SoriaFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro, Querétaro, México.ORCID 0000-0002-0058-2413
Jorge E Macías-SámanoForest Health and Semiochemicals Consulting, Coquitlam, British Columbia, Canada.ORCID 0000-0002-2419-7288
Mariela Gómez-RomeroFacultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México.
Oscar Trejo-RamírezDirección General de Gestión Forestal y de Suelos, Secretaría de Medio Ambiente y Recursos Naturales, Ciudad de México, México.
Craig D AllenDepartment of Geography and Environmental Studies, University of New Mexico, Albuquerque, New Mexico, United States of America.
Erika Gómez-PinedaInstituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México.ORCID 0000-0002-3085-6518
Ek Del-ValInstituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México, Morelia, Michoacán, México.ORCID 0000-0003-3862-1024
Autonomous University of Queretaro · MXUniversidad Michoacana de San Nicolás de Hidalgo · MXConsejo Nacional de Ciencia y Tecnología · GTSecretariat of Environment and Natural Resources · MXUniversidad Autónoma Agraria Antonio Narro · MXUniversidad Nacional Autónoma de México · MXUniversity of Florida · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bark beetle infestations have historically been primary drivers of stand thinning in Mexican pine forests. However, bark beetle impacts have become increasingly extensive and intense, apparently associated with climate change. Our objective was to describe the possible association between abundance of bark beetle flying populations and the occurrence of given value intervals of temperature, precipitation and their balance, in order to have a better comprehension of the climatic space that might trigger larger insect abundances, an issue relevant in the context of the ongoing climatic change. Here, we monitored the abundance of two of the most important bark beetle species in Mexico, Dendroctonus frontalis and D. mexicanus. We sampled 147 sites using pheromone-baited funnel traps along 24 altitudinal transects in 11 Mexican states, from northwestern Chihuahua to southeastern Chiapas, from 2015 to 2017. Through mixed model analysis, we found that the optimum Mean Annual Temperatures were 17°C-20°C for D. frontalis in low-elevation pine-oak forest, while D. mexicanus had two optimal intervals: 11-13°C and 15-18°C. Higher atmospheric Vapor Pressure Deficit (≥ 1.0) was correlated with higher D. frontalis abundances, indicating that warming-amplified drought stress intensifies trees' vulnerability to beetle attack. As temperatures and drought stress increase further with projected future climatic changes, it is likely that these Dendroctonus species will increase tree damage at higher elevations. Pine forests in Mexico are an important source of livelihood for communities inhabiting those areas, so providing tools to tackle obstacles to forest growth and health posed by changing climate is imperative.

Indexed as

ColeopteraPinusWeevilsAnimalsConservation of Natural ResourcesForestsMexicoTrees

Identifiers

PMID37405993
PMCPMC10321627
OpenAlexW4383199235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.