Abstract

Meta-ecosystem theory predicts that cross-ecosystem flows of energy, nutrients, and organisms have important implications for local community assembly and ecosystem functioning. Developments in the theory also have the potential to enhance our understanding of biodiversity-ecosystem functioning relationships. Meta-ecosystem theory is particularly well-suited to the study of rivers, because water flow forces strong spatial interrelationships among connected ecosystems. However, models that address flows of both resources and organisms and explicitly link both are lacking. We present a model and associated R-package for cross-ecosystem flows of both resources and organisms that can be used to predict their distribution in river networks, as well as meta-ecosystem functioning. The model incorporates feedbacks between these two crucial components. To illustrate the capabilities of the model, we present an in silico experiment and analysis, as well as providing sample code.

Competing Interest Statement

The authors have declared no competing interest.

Details

Title
Modelling biological and resource fluxes in fluvial meta-ecosystems
Author
Talluto, Matthew; Rubén Del Campo; Estévez, Edurne; Fuß, Thomas; Bistarelli, Lukas Thuile; Martini, Jan; Singer, Gabriel A
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2024
Publication date
Jan 15, 2024
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2914947828
Copyright
© 2024. This article is published under http://creativecommons.org/licenses/by-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.