Martin et al_Wild turkey roost selection is more consistently associated with tree traits than microclimate

We studied microclimate variables (specifically overnight wind speeds, air temperatures, and accumulated precipitation) and physical characteristics (diameter at breast height and whether the tree was coniferous or deciduous) at roost trees used by eastern wild turkeys (Meleagris gallopavo silvestris) near Peterborough, Ontario, Canada. We first collected location data from GPS-tagged eastern wild turkeys and used spatial analysis to identify roost trees. We then measured physical characteristics and collected microclimate data at both the roost trees and paired non-roost trees. We sampled 25 winter roost pairs and 30 summer roost trees (i.e., pairs in which the roost tree was known to be used by turkeys during winter and summer, respectively). For each pair, the non-roost tree was nearby (50 m away from the roost tree) and represented a tree that was available to turkeys but not apparently used (based on GPS-tagged turkeys and visual inspection for evidence of roosting). Data for winter roost trees were collected from December 1, 2022, to March 27, 2023; and data for summer roost trees were collected from June 1, 2023, to September 25, 2023. Finally, we used the dataset provided here to perform matched case-control conditional logistic regression models to assess how microclimate factors and tree characteristics influence roost tree selection.本研究针对加拿大安大略省彼得伯勒周边的东部野生火鸡（*Meleagris gallopavo silvestris*）的栖宿树木，开展了系统的特征分析，涵盖两类观测指标：其一为微气候变量，具体包含夜间风速、空气温度与累积降水量；其二为树木物理特征，即胸径（diameter at breast height）以及树木属于针叶树还是落叶树。研究首先通过佩戴GPS标签的东部野生火鸡收集定位数据，借助空间分析技术识别出其栖宿树木。随后，分别在栖宿树木与配对的非栖宿树木处开展物理特征测量与微气候数据采集工作。本研究共采样25组冬季栖木配对样本与30组夏季栖木配对样本（前者的栖木树木为火鸡冬季所使用，后者的栖木树木为火鸡夏季所使用）。每组配对样本中，非栖宿树木均设置在距栖宿树木50米的邻近区域，属于火鸡理论上可接触但未被实际使用的树木，该判定依据GPS标记火鸡的定位数据以及栖宿痕迹的目视检查结果得出。冬季栖宿树木的相关数据采集时段为2022年12月1日至2023年3月27日；夏季栖宿树木的数据采集时段为2023年6月1日至2023年9月25日。本研究最终利用本数据集构建匹配病例对照条件逻辑回归模型，以评估微气候因素与树木特征对栖宿树木选择的影响机制。