DOI: 10.5061/dryad.jq2bvq8ht
title: Data from: How do global forest pests respond to increasing temperatures?

description: Biotic disturbances caused by insects and pathogens have a major impact on
 forests in the Northern hemisphere. Knowledge of the effects of increasing
 temperature on the performance of these forest pests will thus be crucial
 for predicting future disturbance risks. Here, we systematically review
 the direct effects of increasing temperatures on four functional subgroups
 of forest pests, including leaf chewers, sap suckers, bark and wood
 borers, and pathogens. We considered 118 studies (2003-2022) representing
 72 pest species feeding on 33 host genera from sub-tropical, temperate and
 boreal forests in Asia, Europe and North America. Based on a subset of 89
 studies reporting the required data, we conducted a meta-analysis (i)
 distinguishing the functional subgroups, and (ii) considering the main
 life-history traits, i.e. development, fitness, and survival. A
 temperature corresponding to the expected mean temperature during the
 growing season in the years 2081-2100 had a significant positive effect on
 the overall performance of leaf chewers (+18%) and bark and wood borers
 (+10%), while sap suckers and pathogens remained unaffected. In contrast,
 performance was not or even significantly negatively affected when a more
 pronounced temperature increase, i.e. corresponding to the temperature
 maxima in 2081-2100, was considered. This finding reflects the non-linear
 temperature-performance relationship beyond currently evolved temperature
 optima in insects and pathogens. Furthermore, we showed that differential
 responses of life-history traits to increased temperatures may
 counterbalance each other (e.g. development vs. survival), highlighting
 the importance of a multi-trait approach to assessing the impact of global
 warming on pest performance. By quantifying the effects of increasing
 temperatures on forest pest performance, our results facilitate the
 prediction of biotic disturbance impacts in a future climate. For
 instance, they could provide a valuable contribution to the
 parameterization of large-scale ecosystem models, which often do not
 explicitly consider the response of biotic disturbances to climate change.
description: ## Data from: How do global forest pests respond to increasing
 temperatures? This dataset contains the data table and the reference list
 for all original studies used for the analyses in the article "How do
 global forest pests respond to increasing temperatures? - A
 meta-analysis". Further information on data collection, calculation
 of effect sizes and statistics can be found in the Methods section of the
 article. ## Description of the data and file structure | Column |
 Description | | :-------------------------- |
 :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | Author(s) | Abbreviated indication of the authors of the study | | Year | Publication year of the study | | DOI/ISSN | DOI or, if not assigned, alternative identifier of the study | | Functional group | Classification of the studied organism, can be either leaf chewers, sap suckers, bark and wood borers or pathogens | | Species | Latin species name of the studied organism | | Biome | Biome from which the organism examined in the study was obtained (boreal, temperate or sub-tropical) | | Continent | Continent from which the organism examined in the study was obtained (Asia, Europe or North America) | | Latitude | Geographic latitude at which the organism examined in the study was obtained. If no exact coordinates were given, an approximate value was derived from the information in the text.  | | Longitude | Geographic longitude at which the organism examined in the study was obtained. If no exact coordinates were given, an approximate value was derived from the information in the text. | | Trait | Classification of the response variable into one of the following traits: development, fitness or survival | | Response variable | Original designation of the response variable used in the study | | Unit | Unit of measurement of the response variable examined in the study | | T control | Temperature \[°C] in control group | | T treatment | Temperature \[°C] in treatment group | | n control | Number of observations in the control group  | | n treatment | Number of observations in the treatment group | | Response variable control | Response variable at control temperature | | Response variable treatment | Response variable at treatment temperature | | SD control | Standard deviation of the response variable at control temperature | | SD treatment | Standard deviation of the response variable at treatment temperature |