2021
DOI: 10.1007/s00442-021-05088-2
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Disparate roost sites drive intraspecific physiological variation in a Malagasy bat

Abstract: Many species are widely distributed and individual populations can experience vastly different environmental conditions over seasonal and geographic scales. With such a broad ecological reality, datasets with limited spatial and temporal resolution may not accurately represent a species and could lead to poorly informed management decisions. Because physiological flexibility can help species tolerate environmental variation, we studied the physiological responses of two separate populations of Macronycteris co… Show more

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Cited by 8 publications
(12 citation statements)
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“…Since we did not trap any bats in the forest during the dry season, we only ran these measurements in the wet season (N = 10). The data from these experimental set-up were then compared to the physiological responses of bats resting in their native roost type, which are summarized and analyzed in an ecological context, i.e., focusing on habitat and roosting conditions but not acute microclimate changes, in Reher et al (2022).…”
Section: Study Set-upmentioning
confidence: 99%
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“…Since we did not trap any bats in the forest during the dry season, we only ran these measurements in the wet season (N = 10). The data from these experimental set-up were then compared to the physiological responses of bats resting in their native roost type, which are summarized and analyzed in an ecological context, i.e., focusing on habitat and roosting conditions but not acute microclimate changes, in Reher et al (2022).…”
Section: Study Set-upmentioning
confidence: 99%
“…Of all data sets, including those collected under natural conditions that sometimes lasted several days (Reher et al, 2022), only the first day of a measurement (from earliest 21:00 to ∼ 30 min before sunset) was analyzed. Moreover, because the forest environment is somewhat milder and both, warm (cloudy, rainy) and very hot days, can occur during the rainy season, we only included data from forest bats measured on hot days (N = 12 bats), which better reflected the southern regular weather.…”
Section: Data Processing and Analysesmentioning
confidence: 99%
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