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Using harvest data to predict habitat-population relationship of the wild boar Sus scrofa in Northern Italy

机译:利用收获数据预测意大利北部野猪野猪的栖息地与种群的关系

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摘要

The relationships between the wild boar Sus scrofa, Linnaeus 1758 density and the habitat characteristics were investigated by collecting bag records in 18 hunting areas during the 1995 and 1996 hunting seasons. The study areas were located in the Northern Apennines (N-Italy) from 470 to 1160 m a.s.l. In each study area a Density Index (DI) was calculated by weighting the number of wild boar culled in each hunting season on the number of hunting days and on the surface of the study areas. Moreover 16 habitat variables were measured in each study area. Correlation and regression analyses were performed considering the DI as a dependent variable. Mixed deciduous woods were positively correlated with wild boar density together with chestnuts woods and conifer reafforestations. No significant negative correlations were found. Twelve multiple regression models each including three habitat variables were ranked by the information-theoretic approach (modified Akaike's information criterion). The study stressed the importance of mixed woods for wild boar and the usefulness of hunting data as a mean to predict the habitat suitability for the species.
机译:通过收集1995年和1996年狩猎季节18个狩猎区的袋记录,调查了野猪Sus scrofa,Linnaeus 1758密度与栖息地特征之间的关系。研究区域位于北亚平宁山脉(意大利北部),面积为470至1160 ma.s.l。在每个研究区域中,通过对每个狩猎季节中被捕杀的野猪数量,狩猎天数和研究区域表面上的重量进行加权,来计算密度指数(DI)。此外,在每个研究区域中测量了16个栖息地变量。将DI作为因变量进行相关和回归分析。混合落叶林与野猪密度,栗木和针叶林再造林呈正相关。没有发现显着的负相关。通过信息理论方法(修改后的赤池信息标准)对十二个多元回归模型(每个模型包括三个栖息地变量)进行了排名。该研究强调了混合木材对野猪的重要性以及狩猎数据作为预测该物种栖息地适宜性的手段的有用性。

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