Exploring the relationship between production intensity and land use: A meta-analytic approach with shrimp aquaculture.

Land sparing Land use Meta-analysis Resource use Shrimp farming Sustainability

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
15 Dec 2021
Historique:
received: 18 06 2021
revised: 07 09 2021
accepted: 08 09 2021
pubmed: 15 9 2021
medline: 15 10 2021
entrez: 14 9 2021
Statut: ppublish

Résumé

Shrimp are one of the fastest growing commodities in aquaculture and have a considerable land footprint. Here, we explored the impact of utilizing different production methods (extensive vs intensive) for expanding shrimp production on the cumulative land footprint of shrimp aquaculture. A meta-analytic approach was utilized to simultaneously estimate model coefficients to explore three relationships: production intensity and total land burden, production intensity and the proportion of land at the farm, and production intensity and the farmland burden. A literature review was conducted and a total of 7 datasets, 22 subsets, and 973 individual farms were included in this study. The global models were as follows: model 1 → ln (total land burden) = 0.1165-0.3863 * ln (production intensity), model 2 → proportion of direct (farm) land use:total land use = 0.7592-0.1737 * ln (production intensity), model 3 → ln (direct land use) = 0.1991-0.9674 * ln (production intensity). Production expansion was modeled under different scenarios. The most land intensive projections involved using only extensive systems to increase production when compared to a business-as-usual scenario. The least land intensive scenario involved utilizing intensive systems. A scenario where farmland was not expanded used 17% less land and 28% less land to produce 7.5 and 10 million tons of shrimp, respectively, when compared to business-as-usual scenarios. These estimates are limited by uncertainty in shrimp feed composition but demonstrate the effect of production intensity on the overall land footprint of shrimp production.

Identifiants

pubmed: 34521002
pii: S0301-4797(21)01781-3
doi: 10.1016/j.jenvman.2021.113719
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

113719

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Robert Davis (R)

Auburn University, School of Fisheries, Aquaculture, and Aquatic Sciences, USA. Electronic address: Robert.davis.bd@gmail.com.

Ash Abebe (A)

Auburn University, Department of Mathematics and Statistics, USA.

Claude Boyd (C)

Auburn University, School of Fisheries, Aquaculture, and Aquatic Sciences, USA.

Aaron McNevin (A)

The World Wildlife Fund, District of Columbia, USA.

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Classifications MeSH