Next Article in Journal
HyperGAN: A Hyperspectral Image Fusion Approach Based on Generative Adversarial Networks
Previous Article in Journal
The Coupling Characteristics of Vapor Pressure Deficit and Soil Moisture in China
Previous Article in Special Issue
Impacts of Climate Change on Forest Biodiversity Changes in Northeast China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Weather Radars Reveal Environmental Conditions for High Altitude Insect Movement Through the Aerosphere

1
School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
2
School of Biology, University of Leeds, Leeds LS2 9JT, UK
3
National Centre for Atmospheric Science, Fairbairn House, Leeds LS2 9PH, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(23), 4388; https://doi.org/10.3390/rs16234388
Submission received: 15 July 2024 / Revised: 29 October 2024 / Accepted: 5 November 2024 / Published: 24 November 2024

Abstract

High-flying insects that exploit tropospheric winds can disperse over far greater distances in a single generation than species restricted to below-canopy flight. However, the ecological consequences of such long-range dispersal remain poorly understood. For example, high-altitude dispersal may facilitate more rapid range shifts in these species and reduce their sensitivity to habitat fragmentation, in contrast to low-flying insects that rely more on terrestrial patch networks. Previous studies have primarily used surface-level variables with limited spatial coverage to explore dispersal timing and movement. In this study, we introduce a novel application of niche modelling to insect aeroecology by examining the relationship between a comprehensive set of atmospheric conditions and high-flying insect activity in the troposphere, as detected by weather surveillance radars (WSRs). We reveal correlations between large-scale dispersal events and atmospheric conditions, identifying key variables that influence dispersal behaviour. By incorporating high-altitude atmospheric conditions into niche models, we achieve significantly higher predictive accuracy compared with models based solely on surface-level conditions. Key predictive factors include the proportion of arable land, altitude, temperature, and relative humidity.
Keywords: weather; niche modelling; insects; movement ecology; radar; remote sensing weather; niche modelling; insects; movement ecology; radar; remote sensing

Share and Cite

MDPI and ACS Style

Hodges, S.; Hassall, C.; III, R.N. Weather Radars Reveal Environmental Conditions for High Altitude Insect Movement Through the Aerosphere. Remote Sens. 2024, 16, 4388. https://doi.org/10.3390/rs16234388

AMA Style

Hodges S, Hassall C, III RN. Weather Radars Reveal Environmental Conditions for High Altitude Insect Movement Through the Aerosphere. Remote Sensing. 2024; 16(23):4388. https://doi.org/10.3390/rs16234388

Chicago/Turabian Style

Hodges, Samuel, Christopher Hassall, and Ryan Neely III. 2024. "Weather Radars Reveal Environmental Conditions for High Altitude Insect Movement Through the Aerosphere" Remote Sensing 16, no. 23: 4388. https://doi.org/10.3390/rs16234388

APA Style

Hodges, S., Hassall, C., & III, R. N. (2024). Weather Radars Reveal Environmental Conditions for High Altitude Insect Movement Through the Aerosphere. Remote Sensing, 16(23), 4388. https://doi.org/10.3390/rs16234388

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop