2022
DOI: 10.1007/s10340-022-01479-3
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Climate change simulations revealed potentially drastic shifts in insect community structure and crop yields in China’s farmland

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Cited by 32 publications
(18 citation statements)
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“…Global climate change can have significant impacts on various agricultural systems around the world 34 . In this context, plant virus diseases provide a major challenge to agriculture and food security worldwide.…”
Section: Discussionmentioning
confidence: 99%
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“…Global climate change can have significant impacts on various agricultural systems around the world 34 . In this context, plant virus diseases provide a major challenge to agriculture and food security worldwide.…”
Section: Discussionmentioning
confidence: 99%
“…Global climate change can have significant impacts on various agricultural systems around the world. 34 In this context, plant virus diseases provide a major challenge to agriculture and food security worldwide. Among plant viruses, potyviruses are the largest group of plant-infecting RNA viruses, causing substantial agricultural crop losses throughout the world.…”
Section: Discussionmentioning
confidence: 99%
“…To reduce the autocorrelation between the variable data, we used ArcGIS software to load all of the variable data and performed Pearson correlation analysis on variables via multivariate and band collection statistics in the software [ 33 ]. For the factor of phase coefficient |R| > 0.8 between variables, according to the contribution rate of each environmental variable to the MaxEnt model and the replacement important value, the variables with a larger contribution rate and replacement important value are preferred to participate in MaxEnt modeling and prediction, to avoid overfitting [ 34 ]. Therefore, we selected Bio1, Bio9, Bio14, Bio20, Bio21, Bio23, and Bio25 as the environmental variables of the A. glabripennis distribution model ( Table S1 ).…”
Section: Methodsmentioning
confidence: 99%
“…Because multicollinearity among environmental variables can affect model outputs and result in an over-fitted model, Pearson’s correlation analysis was used to examine correlations among the environmental variables in ENMTools ( Sillero, 2011 ; Li et al, 2022 ). If the absolute value of the correlation coefficient between two environmental variables was greater than 0.7, the one with a lower percent contribution (according to a jackknife test) was removed ( Zeng et al, 2016 ; Farrell et al, 2019 ).…”
Section: Methodsmentioning
confidence: 99%