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Adequate descriptions of roosting habitat are vital to the management and conservation of bats. However, most studies on bat roosting preference report only structural characteristics of roosts and surrounding habitat, and ignore potentially important factors in roost selection. I argue that the current methods for describing the roosting habitat of tree-roosting bats can be improved, and that more emphasis should be placed on designing studies to determine why bats choose particular roosts. Herein, I focus on measuring microclimate in roosts because it universally influences habitat selection. Specifically, roost temperature is easily measured and is likely an important microclimate variable used by bats in roost selection. Variation in structural characteristics of roosts is often assumed to correlate with variation in microclimate of the roost; however, empirical data are too scarce to verify this assumption. I suggest improvements to the current methods of describing roost characteristics and suggest the inclusion of new methods to describe microclimate. In summation, I argue that there are methods of measuring roost characteristics that may be beneficial to use in conjunction with the methods currently being used, and that microclimate should be considered when designing future studies.
Populations of hibernating bats in the northeastern USA are being decimated by white-nose syndrome (WNS). Although the ultimate cause of death is unknown, one possibility is the premature depletion of fat reserves. The immune system is suppressed during hibernation. Although an elevated body temperature (T b) may facilitate an immune response, it also accelerates the depletion of fat stores. We sought to determine if little brown bats Myotis lucifugus Le Conte 1831 hibernating in WNS-affected hibernacula have an elevated T b and reduced fat stores, relative to WNS-unaffected Indiana bats Myotis sodalis Miller and Allen 1928 from Indiana. We found that WNS-affected M. lucifugus maintain a slightly, but significantly, higher skin temperature (T skin), relative to surrounding rock temperature, than do M. sodalis from Indiana. We also report that WNS-affected M. lucifugus weigh significantly less than M. lucifugus from a hibernaculum outside of the WNS region. However, the difference in T skin is minimal and we argue that the elevated T b is unlikely to explain the emaciation documented in WNS-affected bats.
The estimation of demographic rates is important for conservation and management of species. However, with the exception of an estimate for adult survival by Humphrey and Cope in 1977, there are no estimates of any demographic rates for the endangered Indiana myotis (Myotis sodalis). Their estimate is based on techniques that have been replaced by newer, more flexible, and less biased techniques. Therefore, we reanalyzed a subset of the data first analyzed by Humphrey and Cope using a Cormack-Jolly-Seber model. Two models [φ(year)p(year) and φ(year)p(sex*year)] are equally parsimonious, so we used model averaging to estimate apparent survival. We used this estimate to calculate the average cumulative survival each year after banding for four un-aged cohorts. Our estimate suggests that apparent survival is considerably higher than estimated by Humphrey and Cope the first year after banding and lower the second year after banding. Subsequent to the first two years after banding, our estimates are similar, but slightly lower than those reported by Humphrey and Cope. These results, while useful, cannot be taken as true survival rates for Indiana myotis because of limitations in the data and we suggest this estimate be used appropriately when making management decisions. We discuss limitations in this type of data and make suggestions for experimental design of future studies to collect data more appropriate for estimation of demographic rates in bats.
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