Ecosystem services networks: an accessible framework for decision-making

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

This Preprint has no visible version.

Download Preprint
Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Manu E. Saunders, Romina Rader, Darren Ryder, Oscar Cacho

Abstract

Multifunctional landscapes provide multiple ecosystem services and are managed collaboratively to preserve biodiversity and ecosystem function and support human wellbeing. Linking ecological patterns across systems is essential to advance ecosystem services research and inform ecologically-sustainable landscape management. Network theory provides a robust, accessible framework to build knowledge of ecosystem services, engage with stakeholders, and link disciplinary knowledge and system processes across multiple scales. But two major knowledge gaps need to be overcome to facilitate a unified framework for quantifying ecosystem services via integrated social, ecological and economic networks: (i) methods to link social actors with biodiversity and ecosystem function across different systems (terrestrial—aquatic and social—ecological); and (ii) a simple ecosystem services network typology that is relevant across disciplines and systems, and is accessible to practitioners. We advocate an interdisciplinary approach to ecosystem services networks that is grounded in ecological theory. Research and practice should prioritise understanding critical connections between systems, particularly terrestrial—aquatic energy flows and relationships between biodiversity, ecosystem function and human wellbeing.

DOI

https://doi.org/10.32942/osf.io/f3zb9

Subjects

Ecology and Evolutionary Biology, Life Sciences, Systems Biology

Keywords

Ecosystem Services, multifunctional landscapes, network analysis, systems ecology

Dates

Published: 2019-02-14 02:42

License

CC-By Attribution-ShareAlike 4.0 International