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脊椎动物监测:利用本地蝙蝠检测入侵性农业害虫。

Chirosurveillance: The use of native bats to detect invasive agricultural pests.

作者信息

Maslo Brooke, Valentin Rafael, Leu Karen, Kerwin Kathleen, Hamilton George C, Bevan Amanda, Fefferman Nina H, Fonseca Dina M

机构信息

Department of Ecology, Evolution and Natural Resources, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States of America.

Rutgers Cooperative Extension, New Jersey Agricultural Experiment Station, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States of America.

出版信息

PLoS One. 2017 Mar 29;12(3):e0173321. doi: 10.1371/journal.pone.0173321. eCollection 2017.

Abstract

Invasive insect pests cost the agricultural industry billions of dollars annually in crop losses. Timely detection of pests is critical for management efficiency. Innovative pest detection strategies, such as environmental DNA (eDNA) techniques, combined with efficient predators, maximize sampling resolution across space and time and may improve surveillance. We tested the hypothesis that temperate insectivorous bats can be important sentinels of agricultural insect pest surveillance. Specifically, we used a new high-sensitivity molecular assay for invasive brown marmorated stink bugs (Halyomorpha halys) to examine the extent to which big brown bats (Eptesicus fuscus) detect agricultural pests in the landscape. We documented consistent seasonal predation of stink bugs by big brown bats. Importantly, bats detected brown marmorated stink bugs 3-4 weeks earlier than the current standard monitoring tool, blacklight traps, across all sites. We highlight here the previously unrecognized potential ecosystem service of bats as agents of pest surveillance (or chirosurveillance). Additional studies examining interactions between other bat and insect pest species, coupled with comparisons of detectability among various conventional monitoring methods, are needed to verify the patterns extracted from this study. Ultimately, robust economic analyses will be needed to assess the cost-effectiveness of chirosurveillance as a standard strategy for integrated pest management.

摘要

入侵性害虫每年给农业产业造成数十亿美元的作物损失。及时发现害虫对于管理效率至关重要。创新的害虫检测策略,如环境DNA(eDNA)技术,与高效的捕食者相结合,可在空间和时间上最大化采样分辨率,并可能改善监测效果。我们检验了这样一个假设:温带食虫蝙蝠可以成为农业害虫监测的重要哨兵。具体而言,我们使用一种针对入侵性褐边绿刺蛾(Halyomorpha halys)的新型高灵敏度分子检测方法,来研究大棕蝠(Eptesicus fuscus)在多大程度上能在野外检测到农业害虫。我们记录了大棕蝠对褐边绿刺蛾持续的季节性捕食情况。重要的是,在所有地点,蝙蝠比当前的标准监测工具黑光灯诱捕器提前3至4周检测到褐边绿刺蛾。我们在此强调蝙蝠作为害虫监测(或蝙蝠监测)媒介这一先前未被认识到的潜在生态系统服务。需要进行更多研究来考察其他蝙蝠与害虫物种之间的相互作用,并比较各种传统监测方法的可检测性,以验证从本研究中提取的模式。最终,需要进行强有力的经济分析,以评估蝙蝠监测作为综合害虫管理标准策略的成本效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9f2/5371280/9bda4695fc52/pone.0173321.g001.jpg

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