Yokoyama M, Uno H, Suzuki M, Kaji K, Ohtaishi N
Laboratory of Wildlife Biology, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine, Hokkaido University, N18W9, Kita-ku, Sapporo 060-0818, Japan.
Jpn J Vet Res. 2000 Nov;48(2-3):119-27.
We derived fat indices for sika deer (Cervus nippon yesoensis) in eastern Hokkaido, Japan, and estimated the probability of over-winter survival with a logistic regression model using fat indices. Kidney fat mass (KFM) appears to be an adequate index of wide range of physical conditions before the onset of severe nutritional stress. When KFM values fell below 20 g, femur (FMF) and mandible cavity fat (MCF) indices declined sharply. FMF and MCF were useful indices for detecting malnourished deer. A logistic regression model describes survival thresholds in two bone fat indices for calves (45%) and three fat indices for adult females (FMF = 25%, MCF = 30%, KFM = 20 g). These models are useful for estimating the probability of winter survival in Hokkaido sika deer.
我们得出了日本北海道东部梅花鹿(Cervus nippon yesoensis)的脂肪指数,并使用脂肪指数通过逻辑回归模型估计了越冬存活概率。肾脂肪量(KFM)似乎是严重营养应激开始前广泛身体状况的一个合适指标。当KFM值降至20克以下时,股骨(FMF)和下颌腔脂肪(MCF)指数急剧下降。FMF和MCF是检测营养不良鹿的有用指标。一个逻辑回归模型描述了犊鹿两个骨脂肪指数(45%)和成年雌性三个脂肪指数(FMF = 25%,MCF = 30%,KFM = 20克)的存活阈值。这些模型有助于估计北海道梅花鹿冬季存活的概率。