Chapter 1
Chapter 1
Towards a continental-scale biodiversity monitoring network to assess climate-driven change in bat communities and inform European Union conservation policy
ABSTRACT
ABSTRACT
As impacts of climate change on biodiversity are increasing globally, decision-makers urgently need scientifically robust, long-term monitoring data on biodiversity responses to inform effective conservation strategies. We designed a European-scale monitoring network to assess climate change effects on bat communities, integrating species distribution models under current and future climatic scenarios with spatial conservation planning tools to identify suitable monitoring sites across the continent. The monitoring design followed a hypothesis-driven framework, defining projected species range shifts and community turnover as measurable indicators within the Essential Biodiversity Variables framework, and applying a standardized and spatially optimized approach to assess climate-driven changes. The optimized site selection also incorporated practical implementation aspects, including workforce availability and variable levels of monitoring efforts. We applied this framework to a regional case study from Catalonia, Spain that illustrates how existing national or subnational programs not originally designed for climate research can be adapted to detect climate impacts on regional bat communities, thereby providing a foundation for a future European-scale network built upon ongoing monitoring initiatives. The proposed continental network can support the European Union in addressing commitments on biodiversity conservation and climate policy, while providing information relevant to Member States reporting obligations and implementation of key policy instruments such as the Habitats Directive, Biodiversity Strategy for twenty thirty, and Nature Restoration Regulation. The proposed framework offers substantial flexibility and scalability across both spatial and taxonomic dimensions and, although developed for bats, is broadly transferable across geographic regions and taxonomic groups, providing a generalizable approach for climate-informed biodiversity monitoring.