Department of Organisms and Ecosystems Research, National Institute of Biology, SI-1000 Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, SI-1000 Ljubljana, Slovenia.
MED Mediterranean Institute for Agriculture, Environment and Development & CHANGE Global Change and Sustainability Institute LabOr Laboratory of Ornithology, IIFA, University of Évora, Pólo da Mitra, 7006-554 Évora, Portugal.
Sci Total Environ. 2023 Feb 20;860:160530. doi: 10.1016/j.scitotenv.2022.160530. Epub 2022 Nov 28.
Top predators are often used as sentinel species in contaminant monitoring due to their exposure and vulnerability to persistent, bioaccumulative and, in some cases, biomagnificable contaminants. Some of their ecological traits can vary in space and time, and are known to influence the contamination levels and therefore information on ecological traits should be used as contextual data for correct interpretation of large-scale contaminant spatial patterns. These traits can explain spatiotemporal variation in contaminant exposure (traits such as diet and dispersal distances) or contaminant impacts (traits such as population trend and clutch size). The aim of our research was to review the spatial variation in selected contextual parameters in the Tawny Owl (Strix aluco), a species identified by the COST Action European Raptor Biomonitoring Facility as one of the most suitable candidates for pan-European biomonitoring. A considerable variation in availability of published and unpublished contextual data across Europe was found, with diet being the most extensively studied trait. We demonstrate that the Tawny Owl is a suitable biomonitor at local scale but also that taking spatial variation of other contextual data (e.g. diet) into account is necessary. We found spatial gaps in knowledge about the species ecology and biology in Southern Europe, along with gaps in certain population parameters (e.g. population trends) in several countries. Based on our findings, we proposed a minimal recommended scheme for monitoring of population contextual data as one of the first steps towards a pan-European monitoring scheme using the Tawny Owl.
由于处于暴露状态且易受持久性、生物累积性和在某些情况下生物放大性污染物的影响,顶级捕食者通常被用作污染物监测的指示物种。它们的一些生态特征会随时间和空间而变化,并且已知这些特征会影响污染水平,因此有关生态特征的信息应作为正确解释污染物大尺度空间格局的背景数据。这些特征可以解释污染物暴露的时空变化(如饮食和扩散距离等特征)或污染物影响(如种群趋势和卵大小等特征)。我们的研究目的是审查林鸮(Strix aluco)选定的背景参数的空间变化,林鸮被 COST 行动欧洲猛禽生物监测设施确定为最适合泛欧生物监测的候选物种之一。我们发现,在整个欧洲,已发表和未发表的背景数据的可用性存在相当大的差异,其中饮食是研究最多的特征。我们证明林鸮在局部尺度上是一种合适的生物监测器,但也需要考虑其他背景数据(如饮食)的空间变化。我们发现,在南欧,有关该物种生态和生物学的知识存在空间空白,并且在几个国家,某些种群参数(如种群趋势)也存在空白。基于我们的研究结果,我们提出了一个监测种群背景数据的最低推荐方案,作为使用林鸮建立泛欧监测方案的第一步。