Predicting population‐level impacts of projected climate heating on a temperate freshwater fish

Author:

Mintram Kate S.1ORCID,Brown A. Ross2,Maynard Samuel K.3,Thorbek Pernille4,Tyler Charles R.2

Affiliation:

1. Department of Computer Science, College of Engineering, Design and Physical Sciences Brunel University London Uxbridge UK

2. Biosciences, Faculty of Health and Life Sciences University of Exeter Exeter UK

3. Global Safety Health and Environment Astrazeneca Cambridge UK

4. Agricultural Solutions ‐ Ecotoxicology BASF SE, APD/EE Limburgerhof Germany

Abstract

AbstractClimate heating has the potential to drive changes in ecosystems at multiple levels of biological organization. Temperature directly affects the inherent physiology of plants and animals, resulting in changes in rates of photosynthesis and respiration, and trophic interactions. Predicting temperature‐dependent changes in physiological and trophic processes, however, is challenging because environmental conditions and ecosystem structure vary across biogeographical regions of the globe. To realistically predict the effects of projected climate heating on wildlife populations, mechanistic tools are required to incorporate the inherent physiological effects of temperature changes, as well as the associated effects on food availability within and across comparable ecosystems. Here we applied an agent‐based bioenergetics model to explore the combined effects of projected temperature increases for 2100 (1.4, 2.7, and 4.4°C), and associated changes in prey availability, on three‐spined stickleback (Gasterosteus aculeatus) populations representing latitudes 50, 55, and 60°N. Our results showed a decline in population density after a simulated 1.4°C temperature increase at 50°N. In all other modeled scenarios there was an increase (inflation) in population density and biomass (per unit area) with climate heating, and this inflation increased with increasing latitude. We conclude that agent‐based bioenergetics models are valuable tools in discerning the impacts of climate change on wild fish populations, which play important roles in aquatic food webs.

Publisher

Wiley

Reference46 articles.

1. Increase in environmental temperature affects exploratory behaviour, anxiety and social preference in Danio rerio;Angiulli E.;Scientific Reports,2020

2. BalticSea2020. (2014).Fishing for stickleback can reverse the negative trend in the Baltic Sea. [online]. Available at:http://www.balticsea2020.org/english/press‐room/360‐fishing‐for‐stickleback‐can‐reverse‐the‐negative‐trend‐in‐the‐baltic‐sea

3. Threats of global warming to the world’s freshwater fishes

4. Stickleback increase in the Baltic Sea – A thorny issue for coastal predatory fish

5. Small within-day increases in temperature affects boldness and alters personality in coral reef fish

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