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Article Dans Une Revue Ecography Année : 2023

A general meta‐ecosystem model to predict ecosystem functions at landscape extents

Eric Harvey
Shawn Leroux
Florian Altermatt
F. Guillaume Blanchet
Kevin Cazelles
  • Fonction : Auteur
Cindy Chu
  • Fonction : Auteur
Cassidy d'Aloia
  • Fonction : Auteur
Dominique Gravel
Kevin Mccann
  • Fonction : Auteur
Colette Ward
  • Fonction : Auteur
Marie‐josée Fortin
  • Fonction : Auteur

Résumé

The integration of ecosystem processes over large spatial extents is critical to predicting whether and how local and global changes may impact biodiversity and ecosystem functions. Yet, there remains an important gap in meta‐ecosystem models to predict multiple functions (e.g. carbon sequestration, elemental cycling, trophic efficiency) across ecosystem types (e.g. terrestrial‐aquatic, benthic‐pelagic). We derive a flexible meta‐ecosystem model to predict ecosystem functions 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. We partition 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. Through simulating a forest‐lake‐stream meta‐ecosystem, our model illustrates that even if spatial flows induced significant local losses of nutrients, differences in local ecosystem efficiencies could lead to increased secondary production at regional scale. This emergent result, which we dub the ‘cross‐ecosystem efficiency hypothesis', emphasizes the importance of integrating ecosystem diversity and complementarity in meta‐ecosystem models to generate empirically testable hypotheses for ecosystem functions.
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Dates et versions

hal-04254543 , version 1 (23-10-2023)

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Eric Harvey, Justin Marleau, Isabelle Gounand, Shawn Leroux, Carina Firkowski, et al.. A general meta‐ecosystem model to predict ecosystem functions at landscape extents. Ecography, In press, ⟨10.1111/ecog.06790⟩. ⟨hal-04254543⟩
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