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Naturalness as a basis for incorporating marine biodiversity into life cycle assessment of seafood

Citation

Farmery, AK and Jennings, S and Gardner, C and Watson, RA and Green, BS, Naturalness as a basis for incorporating marine biodiversity into life cycle assessment of seafood, International Journal of Life Cycle Assessment, 22, (10) pp. 1571-1587. ISSN 0948-3349 (2017) [Refereed Article]


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Copyright Statement

Copyright 2017 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/s11367-017-1274-2

Abstract

Purpose

Methods to quantify biodiversity impacts through life cycle assessment (LCA) are evolving for both land- and marine-based production systems, although typically independently from each other. An indicator for terrestrial food production systems that may be suitable to assess marine biodiversity, and is applicable across all food production systems, is a measure of hemeroby or distance from the natural state. We explore the possibility of adapting this approach to marine systems to assess the impact of fishing on seawater column and seafloor systems.

Methods

The terrestrial hemeroby concept is adapted here for marine ecosystems. Two commercial fishery case studies are used to trial the effectiveness of hemeroby in measuring the influence exerted by fishing practices on marine biodiversity. Available inventory data are used to score areas to a hemeroby class, following a semi-quantitative scoring matrix and a seven-point scale, to determine how far the seafloor and seawater column are from their natural state. Assessment can progress to the impact assessment stage involving characterisation of the hemeroby score, to determine the Naturalness Degradation Potential (NDP) for use in calculating the Naturalness Degradation Indicator (NDI). The method builds on well-established processes for assessing fisheries within the ecosystem-based fisheries management framework and is designed to enhance assessment of fishing impacts within LCA.

Results and discussion

Australian fisheries case studies were used to demonstrate the application of this method. The naturalness of these fisheries was scored to a hemeroby level using the scoring matrix. The seafloor of the Northern Prawn Fishery and the seawater column of the South Australian Sardine Fishery were both classified as partially close to nature. Impact assessment was carried out following the process outlined for the NDI. The naturalness degradation results were highly sensitive to area calculation method and data. There was also variation in results when using annual or averaged data for catch. Results should therefore be interpreted in the context of these sensitivities.

Conclusions

Adaptation of the hemeroby concept to marine habitats may present an opportunity for more informed comparison of impacts between terrestrial and marine systems. Incorporating a measure of naturalness into assessments of food production can be useful to better understand the cost, in terms of transforming ecosystems from natural to more artificial, of meeting growing food demand. Biodiversity is a broad concept not easily captured through one indicator, and this method can complement emerging biotic LCA indicators, to provide a suite of indicators capable of capturing the full impact of fishing on marine biodiversity.

Item Details

Item Type:Refereed Article
Keywords:LCA, ecosystem, fishery assessment, biodiversity, Hemeroby, land use, sea floor, seawater column
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Aquatic Ecosystem Studies and Stock Assessment
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - Wild Caught
Objective Field:Fisheries - Wild Caught not elsewhere classified
Author:Farmery, AK (Ms Anna Farmery)
Author:Jennings, S (Dr Sarah Jennings)
Author:Gardner, C (Professor Caleb Gardner)
Author:Watson, RA (Professor Reginald Watson)
Author:Green, BS (Associate Professor Bridget Green)
ID Code:114320
Year Published:2017
Deposited By:Centre for Fisheries and Aquaculture
Deposited On:2017-02-10
Last Modified:2017-11-08
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