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The Effects of Population Density on Juvenile Growth Rate in White-Tailed Deer

机译:人口密度对白尾鹿幼鱼生长率的影响

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Animal body size is driven by habitat quality, food availability, and nutrition. Adult size can relate to birth weight, to length of the ontogenetic growth period, and/or to the rate of growth. Data requirements are high for studying these growth mechanisms, but large datasets exist for some game species. In North America, large harvest datasets exist for white-tailed deer (Odocoileus virginianus), but such data are collected under a variety of conditions and are generally dismissed for ecological research beyond local population and habitat management. We contend that such data are useful for studying the ecology of white-tailed deer growth and body size when analyzed at ordinal scale. In this paper, we test the response of growth rate to food availability by fitting a logarithmic equation that estimates growth rate only to harvest .data from Fort Hood, Texas, and track changes in growth rate over time. Results of this ordinal scale model are compared to previously published models that include additional parameters, such as birth weight and adult weight. It is shown that body size responds to food availability by variation in growth rate. Models that estimate multiple parameters may not work with harvest data because they are prone to error, which renders estimates from complex models too variable to detect inter-annual changes in growth rate that this ordinal scale model captures. This model can be applied to harvest data, from which inferences about factors that influence animal growth and body size (e.g., habitat quality and nutritional availability) can be drawn.
机译:动物的体型受栖息地质量,食物供应和营养的驱动。成人的大小可能与出生体重,个体发育生长期的长度和/或生长速度有关。研究这些生长机制的数据要求很高,但某些游戏物种的数据集却很大。在北美,白尾鹿(Odocoileus virginianus)有大量的收获数据集,但是这些数据是在各种条件下收集的,通常被用于当地人口和栖息地管理以外的生态研究。我们认为,按序数分析时,此类数据可用于研究白尾鹿生长和体型的生态学。在本文中,我们通过拟合对数方程来测试增长率对食物供应量的响应,该方程仅估算增长率以仅从德克萨斯州胡德堡的收获数据中收集数据,并跟踪增长率随时间的变化。将此序数比例模型的结果与先前发布的模型进行比较,该模型包括其他参数,例如出生体重和成人体重。结果表明,体型大小通过增长率的变化对食物的可利用性做出反应。估计多个参数的模型可能无法使用收割数据,因为它们容易出错,这会使复杂模型的估计值变得过于可变而无法检测此序数模型捕获的年增长率的年度变化。该模型可以应用于收获数据,从中可以得出有关影响动物生长和体型的因素(例如,栖息地质量和营养状况)的推论。

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