2022
DOI: 10.1002/jwmg.22176
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Habitat and weather influence body condition in white‐tailed deer, Wisconsin, USA

Abstract: In temperate and northern ecosystems where there are pronounced seasonal patterns in weather and available energy, there are corresponding patterns of body condition among white-tailed deer (Odocoileus virginianus). Body condition of white-tailed deer can affect survival and reproduction, which has large repercussions for state-level natural resource agencies that allocate hunting permits. In this study, we investigated how variation in winter weather, spring phenology, habitat composition, and browse quantity… Show more

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Cited by 5 publications
(2 citation statements)
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References 88 publications
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“…Increased GDD also did not decrease white-tailed deer mortality during summer or through the subsequent winter. This result contrasts with mule deer survival (Hobbs 1989) and evidence indicating white-tailed deer body mass is improved by earlier green-up (McGraw et al 2020). Though GDD is a good predictor of forest growth, other climatic variables unassessed in our study (e.g., precipitation) influence forage availability (Dox et al 2022).…”
Section: Seasonal Moose and Deer Mortalitycontrasting
confidence: 82%
“…Increased GDD also did not decrease white-tailed deer mortality during summer or through the subsequent winter. This result contrasts with mule deer survival (Hobbs 1989) and evidence indicating white-tailed deer body mass is improved by earlier green-up (McGraw et al 2020). Though GDD is a good predictor of forest growth, other climatic variables unassessed in our study (e.g., precipitation) influence forage availability (Dox et al 2022).…”
Section: Seasonal Moose and Deer Mortalitycontrasting
confidence: 82%
“…While many of our study years occurred prior to the development of the Wiscland 2 data set, we were comfortable using this landcover classification to reliably describe distinct habitat types that may vary in form and function annually but broadly persist across years. It is possible that some landcover types transitioned between the time of our surveys and classification, but we anticipated these transitions were a minor contingent and followed the approach of similar studies that used Wiscland 2 to derive landscape variables from outside the time period of development (Pollentier et al 2021, Gilbert et al 2022, McGraw et al 2022).…”
Section: Methodsmentioning
confidence: 99%