Combining our knowledge of how wildlife species behave across space and time broadens our understanding of patterns of resource use. Temporal patterns of activity may be shaped by species morphology and physiology, major disturbances in an ecosystem, seasonal shifts in abundances of resources, or habitat preferences. Camera traps and univariate kernel density estimates can now be used to quantify temporal activity patterns throughout the day in wildlife. Our goals were to quantify how daily activity patterns of mammals common to southern New England differ between two focal habitat types [i.e., early successional (ES) and mature hardwood (MH) forest patches] and to quantify how temporal activity patterns change seasonally. For all species with sufficient observations, temporal activity patterns did not differ significantly between adjacent ES and MH habitat patches. Daily temporal activity was greatest in the fall and winter for cottontail (Sylvilagus spp.), but we did not detect shifts in activity among seasons in any other species. With sufficient data these methods could be expanded to address questions of how temporal activity patterns may change when compared across an interaction of seasons and habitats, as well as how patterns of temporal activity change in the context of the broader surrounding landscape.
You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither BioOne nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the BioOne website.