Measuring sensitivity of robustness and network indices for an estuarine food web model under perturbations

Mukherjee J, Scharler UM, Fath BD, & Ray S (2015). Measuring sensitivity of robustness and network indices for an estuarine food web model under perturbations. Ecological Modelling 306: 160-173. DOI:10.1016/j.ecolmodel.2014.10.027.

Full text not available from this repository.

Abstract

Robustness is a universal feature of ecological systems which promotes sustainability over time. Robustness of an aquatic ecosystem, specifically an estuarine system, is investigated here using indicators derived from ecological network analysis. Estuaries provide us with many ecosystem services and these are consequently prone to face anthropogenic stresses. In South Africa, temporarily open/closed estuaries occupy a significant percentage of coastal boundaries. One of the South African estuaries, namely Mdloti, is studied here using network-based, Ecopath software. The estuarine energy flow networks are perturbed following different scenarios, which are assumed to be a result of selected anthropogenic stresses (eutrophication, overfishing) to the system. Several network indices such as total system throughput (TST), redundancy (R), Finn's Cycling Index (FCI) and ascendency over development capacity ratio (A/C) are calculated and analyzed for the original field-based network and three perturbed networks under different scenarios (change of autotrophic biomass, fish yield, and detritus import). Ecosystem robustness is high in the original (unperturbed) network and after perturbations the change in robustness is not significant for change in the autotrophic biomass scenario but is significant for the other two scenarios. These indicators reliably reflected the relative change of flow pattern if any changes occur and magnitude in the networks in different scenarios. From the present study, we show that certain common network indices as mentioned above provide a measure of robustness and can be used for the assessment of ecosystem organization and function. ENA properties and also robustness change depending on the type and magnitude of stress imposed on the system.

Item Type: Article
Uncontrolled Keywords: Network analysis; Ascendency; Development capacity; Redundancy; Perturbation; Mdloti estuary
Research Programs: Advanced Systems Analysis (ASA)
Bibliographic Reference: Ecological Modelling; 306:160-173 (June 2015) (Published online 20 October 2014)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:53
Last Modified: 14 Sep 2016 10:02
URI: http://pure.iiasa.ac.at/11457

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