Baruzzi Carolina, Snow Nathan P, Vercauteren Kurt C, Strickland Bronson K, Arnoult Jacques S, Fischer Justin W, Glow Michael P, Lavelle Michael J, Smith Benjamin A, Steakley Daryl, Lashley Marcus A
Department of Wildlife Ecology and Conservation, North Florida Research and Education Center University of Florida Quincy Florida USA.
Department of Wildlife, Fisheries, and Aquaculture Mississippi State University Mississippi State Mississippi USA.
Ecol Evol. 2023 Mar 8;13(3):e9853. doi: 10.1002/ece3.9853. eCollection 2023 Mar.
Wild pigs () are invading many areas globally and impacting biodiversity and economies in their non-native range. Thus, wild pigs are often targeted for eradication efforts. Age- and sex-specific body measurements are important for informing these eradication efforts because they reflect body condition, resource availability, and fecundity, which are common indicators of population trajectory. However, body mass is often difficult to collect, especially on large individuals that require specialized equipment or multiple people to weigh. Measurements that can be rapidly taken by a single land or wildlife manager on any size wild pig without aid from specialized equipment would be beneficial if they accurately infer wild pig body mass. Our goals were to assess whether morphometric measurements could accurately predict wild pig body mass, and to provide tools to directly input these measures and estimate wild pig body mass. Using linear models, we quantified the relationship between body mass and morphometric measurements (i.e., body length, chest girth, ear length, eye to snout length, hindfoot length, shoulder length, and tail length) from a subset ( = 102) of wild pigs culled at the Mississippi Alluvial Valley, Mississippi, USA. We evaluated separate models for each individual morphometric measurement. We then used the model coefficients to develop equations to predict wild pig body mass. We validated these equations predicting body mass of 1592 individuals collected across eight areas in Australia, Guam, and the USA for cross-validation. Each developed equation remained accurate when cross-validated across regions. Body length, chest girth, and shoulder length were the morphometrics that best predicted wild pig body mass. Our analyses indicated it is possible to use the presented equations to infer wild pig body mass from simple metrics.
野猪正在全球范围内侵入许多地区,并对其非原生范围内的生物多样性和经济造成影响。因此,野猪常常成为根除行动的目标。特定年龄和性别的身体测量对于指导这些根除行动很重要,因为它们反映了身体状况、资源可用性和繁殖力,而这些都是种群动态的常见指标。然而,体重往往难以测量,尤其是对于需要专门设备或多人才能称重的大型个体。如果能够准确推断野猪体重,那么由单个陆地或野生动物管理人员在不借助专门设备的情况下就能快速对任何体型的野猪进行测量的方法将很有帮助。我们的目标是评估形态测量是否能够准确预测野猪体重,并提供直接输入这些测量值并估算野猪体重的工具。我们使用线性模型,对在美国密西西比州密西西比河冲积平原捕杀的一部分(n = 102)野猪的体重与形态测量值(即体长、胸围、耳长、眼到吻部长度、后足长度、肩长和尾长)之间的关系进行了量化。我们对每个单独的形态测量值评估了不同模型。然后,我们使用模型系数来开发预测野猪体重的方程。我们对这些方程进行了验证,以预测在澳大利亚、关岛和美国八个地区收集的1592头个体的体重,用于交叉验证。当在不同地区进行交叉验证时,每个开发的方程仍然准确。体长、胸围和肩长是最能预测野猪体重的形态测量指标。我们的分析表明,有可能使用所提出的方程从简单的指标推断野猪体重。