Ecological network analysis metrics: The need for an entire ecosystem approach in management and policy

Fath BD ORCID: https://orcid.org/0000-0001-9440-6842, Asmus H, Asmus R, Baird D, Borrett SR, de Jonge VN, Ludovisi A, Niquil N, et al. (2019). Ecological network analysis metrics: The need for an entire ecosystem approach in management and policy. Ocean & Coastal Management 174: 1-14. DOI:10.1016/j.ocecoaman.2019.03.007.

[img] Text
Sylt network metrics paper - revised_Feb 8.pdf - Accepted Version
Restricted to Repository staff only until 18 March 2021.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (567kB)

Abstract

In this paper, we identified seven ecological network analysis (ENA) metrics that, in our opinion, have high potential to provide useful and practical information for environmental decision-makers and stakeholders. Measurement and quantification of the network indicators requires that an ecosystem level assessment is implemented. The ENA metrics convey the status of the ecological system state variables, and mostly, the flows and relations between the various nodes of the network. The seven metrics are: 1) Average Path Length (APL), 2) Finn Cycling Index (FCI), 3) Mean Trophic level (MTL), 4) Detritivory to Herbivory ratio (D:H), 5) Keystoneness, 6) Structural Information (SI), and 7) Flow-based Information indices. The procedure for calculating each metric is detailed along with a short evaluation of their potential assessment of environmental status.

Item Type: Article
Uncontrolled Keywords: Ecological network analysis; Cycling; Trophic length; Marine and coastal environment; Food web
Research Programs: Advanced Systems Analysis (ASA)
Depositing User: Luke Kirwan
Date Deposited: 18 Mar 2019 07:17
Last Modified: 26 Mar 2019 09:35
URI: http://pure.iiasa.ac.at/15802

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313