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Weather variation affects the dispersal of grasshoppers beyond their elevational ranges
  • Andrew Prinster,
  • Julian Resasco,
  • César Nufio
Andrew Prinster
Yale University
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Julian Resasco
University of Colorado Boulder
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César Nufio
University of Colorado
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1.) Understanding how abiotic conditions influence dispersal patterns of organisms is important for understanding the degree to which species can track and persist in the face of changing climate. 2.) The goal of this study was to understand how weather conditions influence the dispersal pattern of multiple non-migratory grasshopper species from lower elevation grassland habitats in which they ¬¬complete their life-cycles to higher elevations that extend beyond their range limits. 3.) Using over a decade of weekly spring to late-summer field survey data along an elevational gradient, we explored how abundance and richness of dispersing grasshoppers were influenced by temperature, precipitation, and wind speed and direction. We also examined how changes in population sizes at lower elevations might influence these patterns. 4.) We observed that the abundance of displaced grasshoppers along the gradient declined 4-fold from the foothills to the subalpine and increased with warmer conditions and when wind flow patterns were mild or in the downslope direction. Thirty-eight unique grasshopper species from lowland sites were detected as dispersers across the survey years, and warmer years and weak upslope wind conditions also increased the richness of these displaced grasshoppers. The pattern of grasshoppers along the gradient was not sex biased. The positive effect of temperature on dispersal rates was likely explained by an increase in dispersal propensity rather than by an increase in the density of grasshoppers at low elevation sites. 5.) The results of this study support the hypothesis that the dispersal patterns of organisms are influenced by changing climatic conditions themselves and as such, that this context-dependent dispersal response should be considered when modeling and forecasting the ability of species to respond to climate change.

Peer review status:Published

29 May 2020Submitted to Ecology and Evolution
11 Jun 2020Submission Checks Completed
11 Jun 2020Assigned to Editor
16 Jun 2020Reviewer(s) Assigned
06 Jul 2020Review(s) Completed, Editorial Evaluation Pending
07 Jul 2020Editorial Decision: Revise Minor
01 Oct 20201st Revision Received
13 Oct 2020Submission Checks Completed
13 Oct 2020Assigned to Editor
13 Oct 2020Review(s) Completed, Editorial Evaluation Pending
22 Oct 2020Editorial Decision: Accept
Dec 2020Published in Ecology and Evolution volume 10 issue 24 on pages 14411-14422. 10.1002/ece3.7045