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首页> 外文期刊>Journal of Wildlife Management >Survival of White-Tailed Deer Fawns in Southern Illinois
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Survival of White-Tailed Deer Fawns in Southern Illinois

机译:伊利诺伊州南部的白尾鹿小鹿的生存

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Survival of white-tailed deer (Odocoileus virginianus) fawns has been quantified throughout much of North America. However, few studies have assessed the influence of intrinsic factors (e.g., fawn age and birth mass) and habitat on fawn survival. During 2002–2004, we captured and radiocollared 166 fawns in southern Illinois, USA, to estimate survival rates, determine causes of mortality, and identify factors influencing fawn survival. We used a known fates model in program MARK to estimate survival rates and compare explanatory models based on Akaike's Information Criterion corrected for small sample sizes (AICc). We developed 2 candidate sets of a priori models to quantify factors influencing fawn survival: model set 1 included intrinsic factors and model set 2 focused on habitat variables. We recorded 64 mortalities and the overall survival rate was 0.59 (95% CI = 0.51–0.68). Predation was the leading source of mortality (64%) and coyotes (Canis latrans) were the most prominent predator. For model set 1, model {Sage×year} had the lowest AICc value suggesting that the age at mortality varied among capture years. For model set 2, model {Slandscape+forest} had the lowest AICc value and indicated that areas inhabited by surviving fawns were characterized by a few large (i.e., >5 ha) irregular forest patches adjacent to several small nonforest patches, and survival areas also contained more edge habitat than mortality areas. Due to the magnitude of coyote predation, survival areas could have represented landscapes where coyotes were less effective at locating and capturing fawns when compared to mortality areas. This study was the first account of macrohabitat characteristics directly influencing fawn survival. Wildlife managers can use this information to determine how habitat management activities may affect deer populations.
机译:在北美大部分地区,白尾鹿(Odocoileus virginianus)小鹿的存活已被量化。但是,很少有研究评估内在因素(例如,小鹿的年龄和出生质量)和栖息地对小鹿生存的影响。在2002年至2004年期间,我们在美国伊利诺伊州南部捕获并放射性捕集了166只小鹿,以估计存活率,确定死亡原因并确定影响小鹿存活的因素。我们在MARK程序中使用了已知的命运模型来估算生存率,并根据针对小样本量(AIC c )校正的Akaike信息准则比较解释性模型。我们开发了2个先验模型的候选集来量化影响小鹿存活的因素:模型集1包含内在因子,模型集2专注于栖息地变量。我们记录了64次死亡,总体存活率为0.59(95%CI = 0.51-0.68)。捕食是主要的死亡来源(64%),土狼(Canis latrans)是最主要的捕食者。对于模型集1,模型{S age×year }的AIC c 值最低,这表明死亡率的年龄在捕获年之间有所不同。对于模型集2,模型{S landscape + forest }的AIC c 值最低,表明存活的小鹿栖息的区域具有一些大的特征(即> 5公顷)不规则的森林斑块,与几个小的非森林斑块相邻,生存区也比死亡区包含更多的边缘栖息地。由于土狼被捕食的程度,生存区可能代表了这样的景观:与死亡区相比,土狼在定位和捕获小鹿方面的效率较低。这项研究是第一个直接影响小鹿存活的宏观栖息地特征的说明。野生动物管理者可以使用此信息来确定栖息地管理活动如何影响鹿种群。

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