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

被引:0
|
作者
Hodges, Samuel [1 ]
Hassall, Christopher [2 ]
Neely III, Ryan [3 ]
机构
[1] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, England
[2] Univ Leeds, Sch Biol, Leeds LS2 9JT, England
[3] Natl Ctr Atmospher Sci, Leeds LS2 9PH, England
基金
英国自然环境研究理事会;
关键词
weather; niche modelling; insects; movement ecology; radar; remote sensing; LONG-DISTANCE DISPERSAL; RELATIVE-HUMIDITY; FLIGHT INITIATION; MELTING-LAYER; MIGRATION; PATTERNS; REMOTE; IDENTIFICATION; COMPENSATION; AEROECOLOGY;
D O I
10.3390/rs16234388
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:28
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