Temperature variability alters the stability and thresholds for collapse of interacting species

Philos Trans R Soc Lond B Biol Sci. 2020 Dec 21;375(1814):20190457. doi: 10.1098/rstb.2019.0457. Epub 2020 Nov 2.

Abstract

Temperature variability and extremes can have profound impacts on populations and ecological communities. Predicting impacts of thermal variability poses a challenge, because it has both direct physiological effects and indirect effects through species interactions. In addition, differences in thermal performance between predators and prey and nonlinear averaging of temperature-dependent performance can result in complex and counterintuitive population dynamics in response to climate change. Yet the combined consequences of these effects remain underexplored. Here, modelling temperature-dependent predator-prey dynamics, we study how changes in temperature variability affect population size, collapse and stable coexistence of both predator and prey, relative to under constant environments or warming alone. We find that the effects of temperature variation on interacting species can lead to a diversity of outcomes, from predator collapse to stable coexistence, depending on interaction strengths and differences in species' thermal performance. Temperature variability also alters predictions about population collapse-in some cases allowing predators to persist for longer than predicted when considering warming alone, and in others accelerating collapse. To inform management responses that are robust to future climates with increasing temperature variability and extremes, we need to incorporate the consequences of temperature variation in complex ecosystems. This article is part of the theme issue 'Integrative research perspectives on marine conservation'.

Keywords: climate extremes; climate variability; predator–prey interactions; stability; temperature variability; thermal performance curves.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Climate Change
  • Environment*
  • Food Chain*
  • Global Warming*
  • Models, Theoretical
  • Population Dynamics

Associated data

  • figshare/10.6084/m9.figshare.c.5181197