2021
DOI: 10.1111/ddi.13264
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Insectivorous bat occupancy is mediated by drought and agricultural land use in a highly modified ecoregion

Abstract: Aim California's Central Valley, one of the most productive agricultural regions worldwide, is home to a high number of at‐risk species due to habitat conversion. Amplifying the issue, the Central Valley faces severe droughts, creating water scarcity in surrounding natural areas. At least 14 insectivorous bat species live in this region, and prior studies show mixed results regarding the impact of agriculture and drought on bats. The aim of this study was to investigate how bats use agricultural areas during d… Show more

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Cited by 9 publications
(3 citation statements)
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“…We also predicted that the decline in bat diversity further from riparian corridors would be buffered by pest abundance such that, with high pest abundance, bat diversity would be higher further away from riparian corridors. Lentini et al (2012) found that bat species diversity increases with increased dry pest species biomass, and bats have been shown to seasonally expand and retract their range over cultivated landscapes in response to fluctuations in prey availability (Smith et al, 2021). However, our analysis found no effect of pest abundance on bat diversity (Fig.…”
Section: Discussionmentioning
confidence: 61%
“…We also predicted that the decline in bat diversity further from riparian corridors would be buffered by pest abundance such that, with high pest abundance, bat diversity would be higher further away from riparian corridors. Lentini et al (2012) found that bat species diversity increases with increased dry pest species biomass, and bats have been shown to seasonally expand and retract their range over cultivated landscapes in response to fluctuations in prey availability (Smith et al, 2021). However, our analysis found no effect of pest abundance on bat diversity (Fig.…”
Section: Discussionmentioning
confidence: 61%
“…All continuous variables were standardized to a mean of 0 and standard deviation of 1. We also included study site (factor with 20 levels) and monitoring night as Julian day (factor with 62 levels) as random effects and detector model (factor with 2 levels: SM2 and SM4) and year (factor with 2 levels: 2019 and 2020) as fixed effects in all models because these variables could have a nonnegligible effect on bat species activity detection and need to be included to control for their potential effects (Adams, 2012; Hayes, 1997; Smith et al., 2021). After observing trends in the residuals of the initial models, we transformed the stream area term by taking the square root and found that this effectively corrected the model fit.…”
Section: Methodsmentioning
confidence: 99%
“…Additional natural and man-made water features were also randomly selected to meet stratification goals (Rich et al, 2019). We used random selection whenever possible in the CV and contacted over 1200 landowners by letter or phone to request property access when a site fell within private property (Smith et al, 2021). We received around 100 positive responses from the landowners that we contacted.…”
Section: Data Collectionmentioning
confidence: 99%