TY - JOUR
T1 - Chirosurveillance
T2 - The use of native bats to detect invasive agricultural pests
AU - Maslo, Brooke
AU - Valentin, Rafael
AU - Leu, Karen
AU - Kerwin, Kathleen
AU - Hamilton, George C.
AU - Bevan, Amanda
AU - Fefferman, Nina H.
AU - Fonseca, Dina M.
N1 - Funding Information:
Funding for this project was provided by a USDA-NRCS Conservation Innovation Grant (69-2B29-12-176) to BM, Rutgers startup funds to DMF and Rutgers Cooperative Extension. Permission to access study sites was granted by Brad Burke, Ross Kiesling, Joe Nichols, Doug Race, Mike, Nick and Marion Russo, and John Schober. We would like to thank Julie L. Lockwood, Peter J. Morin, Dave Schmitt, Brittany Chrans, Danielle Podmayersky, Anne Nielsen, John F. Gumbs, and Dean Polk for useful technical assistance and support.
Publisher Copyright:
© 2017 Maslo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2017/3
Y1 - 2017/3
N2 - 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.
AB - 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.
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U2 - 10.1371/journal.pone.0173321
DO - 10.1371/journal.pone.0173321
M3 - Article
C2 - 28355216
AN - SCOPUS:85016240510
SN - 1932-6203
VL - 12
JO - PLoS One
JF - PLoS One
IS - 3
M1 - 0173321
ER -