Westekemper Katharina, Tiesmeyer Annika, Steyer Katharina, Nowak Carsten, Signer Johannes, Balkenhol Niko
Wildlife Sciences University of Goettingen Goettingen Germany.
Conservation Genetics Section Senckenberg Research Institute and Natural History Museum Frankfurt Gelnhausen Germany.
Ecol Evol. 2021 May 6;11(13):8528-8541. doi: 10.1002/ece3.7635. eCollection 2021 Jul.
Connectivity conservation is ideally based on empirical information on how landscape heterogeneity influences species-specific movement and gene flow. Here, we present the first large-scale evaluation of landscape impacts on genetic connectivity in the European wildcat (), a flagship and umbrella species for connectivity conservation across Europe.
The study was carried out in the core area of the distributional range of wildcats in Germany, covering about 186,000 km of a densely populated and highly fragmented landscape.
We used data of 975 wildcats genotyped at 14 microsatellites and an individual-based landscape genetic framework to assess the importance of twelve landscape variables for explaining observed genetic connectivity. For this, we optimized landscape resistance surfaces for all variables and compared their relative impacts using multiple regression on distance matrices and commonality analysis.
Genetic connectivity was best explained by a synergistic combination of six landscape variables and isolation by distance. Of these variables, road density had by far the strongest individual impact followed by synergistic effects of agricultural lands and settlements. Subsequent analyses involving different road types revealed that the strong effect of road density was largely due to state roads, while highways and federal roads had a much smaller, and county roads only a negligible impact.
Our results highlight that landscape-wide genetic connectivity in wildcats across Germany is strongly shaped by the density of roads and in particular state roads, with higher densities providing larger resistance to successful dispersal. These findings have important implications for conservation planning, as measures to mitigate fragmentation effects of roads (e.g., over- or underpasses) often focus on large, federally managed transportation infrastructures. While these major roads exert local barrier effects, other road types can be more influential on overall connectivity, as they are more abundant and more widespread across the landscape.
连通性保护理想情况下是基于有关景观异质性如何影响物种特定移动和基因流动的实证信息。在此,我们首次对景观对欧洲野猫(欧洲连通性保护的旗舰和伞护物种)遗传连通性的影响进行了大规模评估。
研究在德国野猫分布范围的核心区域开展,覆盖了约186,000平方公里人口密集且高度破碎的景观。
我们使用了975只野猫在14个微卫星位点的基因分型数据以及基于个体的景观遗传学框架,来评估12个景观变量对解释观察到的遗传连通性的重要性。为此,我们针对所有变量优化了景观抗性表面,并使用距离矩阵多元回归和共同性分析比较了它们的相对影响。
遗传连通性最好由六个景观变量与距离隔离的协同组合来解释。在这些变量中,道路密度的个体影响最为显著,其次是农业用地和定居点的协同效应。随后涉及不同道路类型的分析表明,道路密度的强烈影响主要归因于国道,而高速公路和联邦道路的影响要小得多,县道的影响可忽略不计。
我们的结果突出表明,德国野猫在景观尺度上的遗传连通性受到道路密度尤其是国道密度的强烈影响,道路密度越高,对成功扩散的阻力就越大。这些发现对保护规划具有重要意义,因为减轻道路破碎化影响的措施(例如天桥或地下通道)通常侧重于大型的、由联邦管理的交通基础设施。虽然这些主要道路产生局部屏障效应,但其他道路类型可能对整体连通性更具影响力,因为它们在景观中更为丰富和广泛。