Elements of disease in a changing world: modelling feedbacks between infectious disease and ecosystems

Elizabeth T. Borer, Lale Asik, Rebecca A. Everett, Thijs Frenken, Angelica L. Gonzalez, Rachel E. Paseka, Angela Peace, Eric W. Seabloom, Alexander T. Strauss, Dedmer B. Van de Waal, Lauren A. White

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

An overlooked effect of ecosystem eutrophication is the potential to alter disease dynamics in primary producers, inducing disease-mediated feedbacks that alter net primary productivity and elemental recycling. Models in disease ecology rarely track organisms past death, yet death from infection can alter important ecosystem processes including elemental recycling rates and nutrient supply to living hosts. In contrast, models in ecosystem ecology rarely track disease dynamics, yet elemental nutrient pools (e.g. nitrogen, phosphorus) can regulate important disease processes including pathogen reproduction and transmission. Thus, both disease and ecosystem ecology stand to grow as fields by exploring questions that arise at their intersection. However, we currently lack a framework explicitly linking these disciplines. We developed a stoichiometric model using elemental currencies to track primary producer biomass (carbon) in vegetation and soil pools, and to track prevalence and the basic reproduction number (R0) of a directly transmitted pathogen. This model, parameterised for a deciduous forest, demonstrates that anthropogenic nutrient supply can interact with disease to qualitatively alter both ecosystem and disease dynamics. Using this element-focused approach, we identify knowledge gaps and generate predictions about the impact of anthropogenic nutrient supply rates on infectious disease and feedbacks to ecosystem carbon and nutrient cycling.

Original languageEnglish
Pages (from-to)6-19
Number of pages14
JournalEcology Letters
Volume24
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Coupled element cycles
  • Droop model
  • carbon
  • feedback
  • infected
  • mineralisation
  • nitrogen
  • nutrient recycling
  • pathogen transmission
  • stoichiometric model
  • susceptible

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