Deadline for abstract submission: 22 July 2017!
Convenors: Ivan Nagelkerken, Philip Munday, Colin Brauner & Marc Metian
Description: We have entered an era of increasing uncertainty about the effect of human activities on the function and services of marine and freshwater ecosystems. Although research on climate change and acidification of ocean and more recently freshwater systems has rapidly accelerated, there has been a primary emphasis on single stressor, single habitat, single species, single life stage, and short-term experiments. This has led to an incomplete view of how multiple global stressors may truly affect fish populations and communities over the longer term. Moreover, due to different species sensitivities to global change stressors we have yet to identify the full potential of fish species for acclimation or adaptation. We are at a stage where we need to broaden the scope from simple experiments to more complex studies that allow us to better predict climate-driven changes in fish communities and diversity, and the ecosystem services they provide. In this session we particularly welcome contributions on global change biology that relate to: 1) multi-species interactions, 2) multi-stressor effects and their interactions, 3) potential for species acclimation or adaption, 4) drivers of species community change, 4) ecosystem-level effects (e.g. phase shifts, resilience, productivity). By acting as a venue for the presentation and discussion of such ‘next-generation studies’ this session will highlight the current state-of-the art, identify new approaches for community and ecosystem level studies, provide opportunities for synergistic thinking, and shed a critical light on desired future research agendas to more comprehensively predict the effect of global change on fish populations and communities.
Expected audience: Fish biologists working in freshwater, estuarine, as well as marine environments, with interest in global change, natural adaptation, multiple stressors, fish behaviour and physiology, community and population dynamics, modelling.