A general meta-ecosystem model to predict ecosystem function at landscape extents - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2022

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

Eric Harvey
Justin Marleau
  • Fonction : Auteur
Shawn Leroux
  • Fonction : Auteur
Carina Rauen Firkowski
  • Fonction : Auteur
Florian Altermatt
  • Fonction : Auteur
F. Guillaume Blanchet
  • Fonction : Auteur
Kevin Cazelles
  • Fonction : Auteur
Cindy Chu
  • Fonction : Auteur
Cassidy d'Aloia
  • Fonction : Auteur
Louis Donelle
  • Fonction : Auteur
Dominique Gravel
  • Fonction : Auteur
Frédéric Guichard
  • Fonction : Auteur
Kevin Mccann
  • Fonction : Auteur
Jonathan Ruppert
  • Fonction : Auteur
Colette Ward
  • Fonction : Auteur
Marie-Josee Fortin
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-03856643 , version 1 (16-11-2022)

Identifiants

Citer

Eric Harvey, Justin Marleau, Isabelle Gounand, Shawn Leroux, Carina Rauen Firkowski, et al.. A general meta-ecosystem model to predict ecosystem function at landscape extents. 2022. ⟨hal-03856643⟩

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