2020
DOI: 10.1111/gcb.15313
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Inflection point in climatic suitability of insect pest species in Europe suggests non‐linear responses to climate change

Abstract: Climate change and globalization affect the suitable conditions for agricultural crops and insect pests, threatening future food security. It remains unknown whether shifts in species' climatic suitability will be linear or rather non-linear, with crop exposure to pests suddenly increasing when a critical temperature threshold is crossed. Moreover, uncertainty of forecasts can arise because of the modelling approach based either on species distribution data or on physiological measurements. Here, we compared t… Show more

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Cited by 16 publications
(12 citation statements)
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“…The impact of climate change on population development can be linear or non-linear (Grünig et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The impact of climate change on population development can be linear or non-linear (Grünig et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…We used 2 approaches to estimate habitat suitability for Japanese beetle. Our “physiological model” used a technique similar to the CLIMEX platform by relating specific physiological thresholds of Japanese beetle to climatic variables in a spatial context, identifying areas that could allow for survival and development (Kearney and Porter 2009, Grünig et al 2020). Our “correlative niche model” used the platform MAXENT to relate species occurrence records to environmental variables across geographic space (Peterson et al 2011).…”
Section: Methodsmentioning
confidence: 99%
“…Understanding the factors that influence the distribution of species is essential for researchers to develop effective adaptation strategies to address the impacts of climate change [167]. Studying the distribution of the niches of pest species reveals future opportunities and risks under climate change and helps in the development of effective crop management strategies [168]. Species Distribution Models (SDMs) are scientifically proven tools for predicting and assessing the impacts of climate change on flora and fauna [169,170].…”
Section: Assessment Of the Biological Invasionmentioning
confidence: 99%