ArticleInsects2025
The Threshold and Lag Effects of Temperature on Pine Wilt Disease Show Significant Spatial Heterogeneity.
Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Pine wilt disease (PWD) is an economically important disease. With the increasing temperature caused by climate change, there is a concern that it may expand to regions currently at low risk, cause more serious ecological harm and economic losses in China. The pinewood nematode has an optimal temperature range for development, and historical meteorological conditions, particularly temperature, can influence its current occurrence through time-lagged effects. Lag effect is a temporally delayed effect. In order to investigate the threshold effect and lag effect of temperature on PWD, we collected province-level occurrence data in China and explored the threshold effect, lag effect, and spatial heterogeneity mechanism using a distributed lag non-linear model. The results show that temperature has a significant threshold effect and lag effect on PWD. The threshold temperatures and lag periods vary from 19.5 °C to 25.1 °C and from 1 to 3 months in different provinces in the study area. The threshold temperature shows significant spatial heterogeneity and is positively correlated with the average temperature. This study provides a theoretical basis for the prevention and control of PWD, as well as protection of forest ecological security.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.