Department of Organisms and Systems Biology, Polytechnic School of Mieres, University of Oviedo, E-33600, Mieres, Asturias, Spain.
Research Group on Planning and Management in Complex Adaptive Socio-Ecological Systems (COMPASSES), School of Engineering, University of Santiago de Compostela, E-27002 Lugo, Spain.
Sci Total Environ. 2022 Mar 20;813:152610. doi: 10.1016/j.scitotenv.2021.152610. Epub 2021 Dec 25.
In bears, reproduction is dependent on the body reserves accumulated during hyperphagia. The Cantabrian brown bear mainly feeds on nuts during the hyperphagia period. Understanding how landscape heterogeneity and vegetation productivity in human-dominated landscapes influence the feeding habits of bears may therefore be important for disentangling species-habitat relationships of conservation interest. We determined the spatial patterns of nut consumption by brown bears during the hyperphagia period in relation to landscape structure, characteristics of fruit-producing patches and vegetation productivity. For this purpose, we constructed foraging models based on nut consumption data (obtained by scat analysis), by combining vegetation productivity data, topographical variables and landscape metrics to identify nut foraging patterns during this critical period for bears. The average wooded area of patches where scats were collected and where the nuts that the bears had consumed were produced was larger than that of the corresponding patches where nuts were not produced. For scats collected outside of nut-producing patches, the distance between the scats and the patches was greatest for chestnut-producing patches. Elevation, Gross Primary Production (GPP) and the Aggregation Index (AI) were good predictors of acorn consumption in the models. Good model fits were not obtained for data on chestnut consumption in bears. The findings confirm that brown bears feeding on nuts show a preference for relatively large, highly aggregated patches with a high degree of diversity in the landscape pattern, which may help the bears to remain undetected. The nut prediction model highlights areas of particular importance for brown bears during hyperphagia. The human presence associated with sweet chestnut forest stands or orchards may make bears feel more vulnerable when feeding.
在熊类中,繁殖依赖于在暴食期积累的身体储备。坎塔布连棕熊在暴食期主要以坚果为食。因此,了解在以人类为主导的景观中,景观异质性和植被生产力如何影响熊的觅食习惯,对于解开具有保护意义的物种-栖息地关系可能很重要。我们确定了棕熊在暴食期内消耗坚果的空间模式与景观结构、产果斑块的特征和植被生产力之间的关系。为此,我们根据粪便分析获得的坚果消耗数据(通过粪便分析获得),结合植被生产力数据、地形变量和景观指标构建了觅食模型,以确定在这个对熊类至关重要的时期的觅食模式。与未产生坚果的对应斑块相比,收集粪便和产生熊类消耗的坚果的斑块的平均树木覆盖面积较大。对于不在产果斑块中收集的粪便,来自产板栗的斑块的粪便与斑块之间的距离最大。海拔、总初级生产力(GPP)和聚集指数(AI)是模型中橡子消耗的良好预测因子。在模型中,关于熊类食用栗子的数据没有得到很好的模型拟合。研究结果证实,以坚果为食的棕熊更喜欢相对较大、高度聚集、景观格局多样性高的斑块,这有助于熊类保持不被发现。坚果预测模型突出了棕熊在暴食期特别重要的区域。在甜栗林或果园中存在的人类可能会使熊在觅食时感到更加脆弱。