A general meta-ecosystem model to predict ecosystem function at landscape extents - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2021

A general meta-ecosystem model to predict ecosystem function at landscape extents

Carina R Firkowski
  • Function : Author
Florian Altermatt
F Guillaume Blanchet
  • Function : Author
Kevin Cazelles
  • Function : Author
Cindy Chu
  • Function : Author
Cassidy d'Aloia
  • Function : Author
Louis Donelle
  • Function : Author
Dominique Gravel
Frédéric Guichard
  • Function : Author
Kevin Mccann
  • Function : Author
Jonathan L W Ruppert
  • Function : Author
Colette Ward
  • Function : Author
Marie-Josée Fortin
  • Function : Author

Abstract

The integration of meta-ecosystem processes over large spatial extent is critical to predicting whether and how global changes might impact biodiversity and ecosystem functions. Yet, there remains an important gap in meta-ecosystem models to predict multiple ecosystem functions (e.g., carbon sequestration, elemental cycling, trophic efficiency) across different ecosystem types (e.g., terrestrial-aquatic, benthic-pelagic). We derive a generic meta-ecosystem model to predict ecosystem function at landscape extents by integrating the spatial dimension of natural systems as spatial networks of different habitat types connected by cross-ecosystem flows of materials and organisms. This model partitions the physical connectedness of ecosystems from the spatial flow rates of materials and organisms, allowing the representation of all types of connectivity across ecosystem boundaries as well as the interaction(s) between them. The model predicts that cross-ecosystem flows maximize the realization of multiple functions at landscape extent. Spatial flows, even the ones that significantly reduce the overall amount of nutrients in the meta-ecosystem, can reallocate nutrients to more efficient ecosystems, leading to greater levels of productivity at both local and regional scales. This ‘cross-ecosystem efficiency hypothesis’ is a general and testable hypothesis emphasizing the complementarity and interconnectedness among ecosystems and the importance of addressing ecosystem diversity for meta-ecosystem function.

Domains

Ecosystems
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Dates and versions

hal-03407501 , version 1 (28-10-2021)

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Eric Harvey, Justin N Marleau, Isabelle Gounand, Shawn J Leroux, Carina R Firkowski, et al.. A general meta-ecosystem model to predict ecosystem function at landscape extents. 2021. ⟨hal-03407501⟩

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