Evidence map›Paper›PMID 31925748›Full record

ArticleNeotropical entomology2020

Influence of Temperature and Precipitation Anomaly on the Seasonal Emergence of Invasive Bark Beetles in Subtropical South America.

D F Gomez, J Skelton, M De María, J Hulcr

Abstract read
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In one paragraph

Article in Neotropical entomology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 2 countries.

D F GomezSchool of Forest Resources and Conservation, Univ of Florida, Gainesville, USA. demiangz@gmail.com.ORCID https://orcid.org/0000-0001-5437-0160
J SkeltonSchool of Forest Resources and Conservation, Univ of Florida, Gainesville, USA.
M De MaríaDept of Physiological Sciences, College of Veterinary Medicine, Gainesville, USA.
J HulcrSchool of Forest Resources and Conservation, Univ of Florida, Gainesville, USA.ORCID https://orcid.org/0000-0002-8706-4618
University of Florida · USAmerican Physiological Society · US

Funding

Instituto Nacional de Investigación Agropecuaria (UY) FO15National Science Foundation 1556283
6 · The paper itself

Abstract

Several invasive bark beetle species have caused major economic and ecological losses in South America. Accurate predictions of beetle emergence times will make control efforts more efficient and effective. To determine whether bark beetle emergence can be predicted by season, temperature, or precipitation, we analyzed trapping records for three introduced pest species of bark beetles in Uruguay. We used trigonometric functions as seasonal predictors in generalized linear models to account for purely seasonal effects, while testing for effects of temperature and precipitation. Results show that all three beetle species had strong but unique seasonal emergence patterns and responded differently to temperature and precipitation. Cyrtogenius luteus (Blandford) emerged in summer and increased with precipitation but was not affected by temperature. Hylurgus ligniperda (Fabricius) emerged in winter and increased with temperature but was not affected by precipitation. Orthotomicus erosus (Wollaston) had a primary emergence in spring, and a smaller emergence in early summer, but showed no significant relationship with temperature or precipitation. This study shows that the emergence of these bark beetle species in Uruguay is influenced by seasonality more than by temperature and precipitation fluctuations. It also shows how seasonality can be easily incorporated into models to make more accurate predictions about pest population dynamics.

Indexed as

SeasonsTemperatureWeevilsAnimalsIntroduced SpeciesPinus taedaPlant BarkPopulation DynamicsRainUruguayflight activityforest pestsforestryphenologyScolytinaeUruguay

Identifiers

PMID31925748
OpenAlexW2999892232

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.