Affiliation:
1. Aquatic Ecosystem Research, Faculty of Biology University of Duisburg‐Essen Essen North Rhine‐Westphalia Germany
2. Centre for Water and Environmental Research University of Duisburg‐Essen Essen North Rhine‐Westphalia Germany
3. Zoology and Trinity Centre for the Environment School of Natural Sciences, Trinity College Dublin Dublin Ireland
4. Multiscale Environmental Process Engineering, Department of Urban Water and Resource Management Institute for Sanitary Engineering, Water Quality and Solid Waste Management, University of Stuttgart Stuttgart‐Büsnau Baden‐Württemberg Germany
Abstract
AbstractWater temperature is a key environmental variable in stream ecosystems determining species distribution ranges, community composition, and ecological processes. In addition to global warming, direct anthropogenic impacts, for example through the influx of power plant cooling water or due to sun exposure after the removal of riparian vegetation, result in elevated water temperatures. However, temperature effects in stream ecosystems have mostly been tested in recirculating experimental systems, which can neither capture diurnal and seasonal variability in other environmental variables nor allow for entrainment of stream organisms. In contrast, open flow‐through systems, which are constantly supplied with stream water, offer a more realistic setting for stream ecological experiments, yet are difficult to implement. Here, we outline a heating module for the purpose of differential temperature regulation in a flow‐through mesocosm system by automatic control of warm water supply. We validated the functionality of the module in indoor trials as well as in an outdoor ExStream experimental mesocosm system. Furthermore, we tested the implications of different warm water temperatures for the survival of invertebrates drifting through the heating module to derive recommendations for the maximum warm water temperature for mixing with the natural water inflow. The module allows for controlled open flow‐through experiments in the field and the key components are flexible and scalable. Therefore, the module can be easily integrated into existing experimental flow‐through setups.