Assessing warming impacts on marine fishes by integrating physiology-guided distribution projections, life-history changes and food web dynamics
Journal
Methods in Ecology and Evolution
Date Issued
2022-01-01
Author(s)
Abstract
Rising ocean temperatures pose a continuing threat to marine fish communities. As warming has far-reaching impacts at multiple ecological levels, incorporating multimodal data is necessary for more accurately forecasting the responses of species and communities to the warming ocean. Range shifts, life-history changes, and alterations of trophic dynamics are three important aspects of warming impacts, yet there has not been a formal integration of all three aspects in the same analysis. Here, we present a novel framework that integrates species distribution projections, life-history changes, and food web dynamics to assess warming impacts on marine fish communities. We first introduce a simple yet effective way of incorporating thermal physiological data into the species distribution model without the need to empirically measure thermal performance curves. We then use the dynamic size-spectrum model as the modeling backbone to incorporate data from species distributions and population-level life history analyses. With this framework, we evaluate how individual species are affected under two warming scenarios (RCP4.5 and RCP8.5). We also simulate large-scale top-down and bottom-up perturbations to examine community resilience under rising temperatures. We find that warming generally reduces species biomass and shifts species size spectra towards larger individuals, even though the maximum size tends to decrease under warming. However, the exact responses to rising temperatures differ among species and do not exhibit strong correlations with species size and the pace of life history. More severe warming also renders the focal community more vulnerable to top-down perturbations, even though the community remains sufficiently resilient overall. The complex nature of species and community responses result from the fact that distribution range, life history, and food web dynamics change with warming in different directions that may not be intuitive to predict a priori. Importantly, we show that neglecting changes in species distribution or life history will lead to biased assessment of species and community responses. Our analyses highlight trophic dynamics, species biomass, and community resilience as three emergent properties that our framework can uniquely quantify. This integrative framework is readily applicable to other communities of interest and can be scaled up for multi-regional or global analyses.
Subjects
Bayesian species distribution model | dynamic size-spectrum model | resilience | thermal performance curve | trophic interaction
SDGs
Publisher
British Ecological Society
Type
journal article