Inferred equations for predicting cumulative exergy extraction throughout cradle-to-gate life cycles of Pangasius feeds and intensive Pangasius grow-out farms in Vietnam

Trang T. Nhu*, Quan H. Le, Peter ter Heide, Roel Bosma, Patrick Sorgeloos, Jo Dewulf, Thomas Schaubroeck

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Intensive Pangasius aquaculture in Vietnam has attracted concerns about the sustainability of its resource use. However, the assessment of the latter, using Life Cycle Assessment (LCA), is a time-consuming and complex task. To establish a simplified approach, especially relevant for certification incentives, as an alternative to a full LCA, we first highlight key parameters in resource use of the system to provide a better understanding of the variability in LCA results, and second present inferred equations that allow for an easy estimation of the resource footprint using some of these key parameters. A representative sample of 10 certified (i.e., ASC and GLOBALG.A.P.) and 10 non-certified intensive Pangasius farms in the Mekong Delta was investigated. Detailed LCA results, resulting in resource consumption in terms of the Cumulative Exergy Extraction from Natural Environment (CEENE), showed that pond water renewal and feed production, particularly agriculture-based feed ingredients, were the hotspots. Inferred equations, in fact linear regression models, were successfully set up and have proven to be useful to estimate the resource footprint of Pangasius feeds and aquaculture using parameters identified as the resource use hotspots. The CEENE over the cradle to feed mill gate per tonne feed could be predicted from the mass share of agriculture-based ingredients (R2 ≥ 0.90, n = 12 feeds). The CEENE over the cradle to farm gate per tonne Pangasius fish in the certified farms and/or non-certified farms can be explained by the amount of water and feed inputs (R2 ≥ 0.98, n = 20 farms), which highlights the relevance of managing these resources in intensive Pangasius farming, and subsequent equations were also set up.

Original languageEnglish
Pages (from-to)42-49
JournalResources, Conservation and Recycling
Volume115
DOIs
Publication statusPublished - 2016

Fingerprint

exergy
life cycle
farm
resource use
resource
footprint
agriculture
intensive culture
certification
aquaculture
incentive
mill
pond
Life cycle
Farm
Exergy
sustainability
water
Resources
Life cycle assessment

Keywords

  • CEENE
  • Life cycle assessment
  • Pangasius
  • Resource use
  • Vietnam

Cite this

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title = "Inferred equations for predicting cumulative exergy extraction throughout cradle-to-gate life cycles of Pangasius feeds and intensive Pangasius grow-out farms in Vietnam",
abstract = "Intensive Pangasius aquaculture in Vietnam has attracted concerns about the sustainability of its resource use. However, the assessment of the latter, using Life Cycle Assessment (LCA), is a time-consuming and complex task. To establish a simplified approach, especially relevant for certification incentives, as an alternative to a full LCA, we first highlight key parameters in resource use of the system to provide a better understanding of the variability in LCA results, and second present inferred equations that allow for an easy estimation of the resource footprint using some of these key parameters. A representative sample of 10 certified (i.e., ASC and GLOBALG.A.P.) and 10 non-certified intensive Pangasius farms in the Mekong Delta was investigated. Detailed LCA results, resulting in resource consumption in terms of the Cumulative Exergy Extraction from Natural Environment (CEENE), showed that pond water renewal and feed production, particularly agriculture-based feed ingredients, were the hotspots. Inferred equations, in fact linear regression models, were successfully set up and have proven to be useful to estimate the resource footprint of Pangasius feeds and aquaculture using parameters identified as the resource use hotspots. The CEENE over the cradle to feed mill gate per tonne feed could be predicted from the mass share of agriculture-based ingredients (R2 ≥ 0.90, n = 12 feeds). The CEENE over the cradle to farm gate per tonne Pangasius fish in the certified farms and/or non-certified farms can be explained by the amount of water and feed inputs (R2 ≥ 0.98, n = 20 farms), which highlights the relevance of managing these resources in intensive Pangasius farming, and subsequent equations were also set up.",
keywords = "CEENE, Life cycle assessment, Pangasius, Resource use, Vietnam",
author = "Nhu, {Trang T.} and Le, {Quan H.} and {ter Heide}, Peter and Roel Bosma and Patrick Sorgeloos and Jo Dewulf and Thomas Schaubroeck",
year = "2016",
doi = "10.1016/j.resconrec.2016.08.023",
language = "English",
volume = "115",
pages = "42--49",
journal = "Resources, Conservation and Recycling",
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publisher = "Elsevier",

}

Inferred equations for predicting cumulative exergy extraction throughout cradle-to-gate life cycles of Pangasius feeds and intensive Pangasius grow-out farms in Vietnam. / Nhu, Trang T.; Le, Quan H.; ter Heide, Peter; Bosma, Roel; Sorgeloos, Patrick; Dewulf, Jo; Schaubroeck, Thomas.

In: Resources, Conservation and Recycling, Vol. 115, 2016, p. 42-49.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Inferred equations for predicting cumulative exergy extraction throughout cradle-to-gate life cycles of Pangasius feeds and intensive Pangasius grow-out farms in Vietnam

AU - Nhu, Trang T.

AU - Le, Quan H.

AU - ter Heide, Peter

AU - Bosma, Roel

AU - Sorgeloos, Patrick

AU - Dewulf, Jo

AU - Schaubroeck, Thomas

PY - 2016

Y1 - 2016

N2 - Intensive Pangasius aquaculture in Vietnam has attracted concerns about the sustainability of its resource use. However, the assessment of the latter, using Life Cycle Assessment (LCA), is a time-consuming and complex task. To establish a simplified approach, especially relevant for certification incentives, as an alternative to a full LCA, we first highlight key parameters in resource use of the system to provide a better understanding of the variability in LCA results, and second present inferred equations that allow for an easy estimation of the resource footprint using some of these key parameters. A representative sample of 10 certified (i.e., ASC and GLOBALG.A.P.) and 10 non-certified intensive Pangasius farms in the Mekong Delta was investigated. Detailed LCA results, resulting in resource consumption in terms of the Cumulative Exergy Extraction from Natural Environment (CEENE), showed that pond water renewal and feed production, particularly agriculture-based feed ingredients, were the hotspots. Inferred equations, in fact linear regression models, were successfully set up and have proven to be useful to estimate the resource footprint of Pangasius feeds and aquaculture using parameters identified as the resource use hotspots. The CEENE over the cradle to feed mill gate per tonne feed could be predicted from the mass share of agriculture-based ingredients (R2 ≥ 0.90, n = 12 feeds). The CEENE over the cradle to farm gate per tonne Pangasius fish in the certified farms and/or non-certified farms can be explained by the amount of water and feed inputs (R2 ≥ 0.98, n = 20 farms), which highlights the relevance of managing these resources in intensive Pangasius farming, and subsequent equations were also set up.

AB - Intensive Pangasius aquaculture in Vietnam has attracted concerns about the sustainability of its resource use. However, the assessment of the latter, using Life Cycle Assessment (LCA), is a time-consuming and complex task. To establish a simplified approach, especially relevant for certification incentives, as an alternative to a full LCA, we first highlight key parameters in resource use of the system to provide a better understanding of the variability in LCA results, and second present inferred equations that allow for an easy estimation of the resource footprint using some of these key parameters. A representative sample of 10 certified (i.e., ASC and GLOBALG.A.P.) and 10 non-certified intensive Pangasius farms in the Mekong Delta was investigated. Detailed LCA results, resulting in resource consumption in terms of the Cumulative Exergy Extraction from Natural Environment (CEENE), showed that pond water renewal and feed production, particularly agriculture-based feed ingredients, were the hotspots. Inferred equations, in fact linear regression models, were successfully set up and have proven to be useful to estimate the resource footprint of Pangasius feeds and aquaculture using parameters identified as the resource use hotspots. The CEENE over the cradle to feed mill gate per tonne feed could be predicted from the mass share of agriculture-based ingredients (R2 ≥ 0.90, n = 12 feeds). The CEENE over the cradle to farm gate per tonne Pangasius fish in the certified farms and/or non-certified farms can be explained by the amount of water and feed inputs (R2 ≥ 0.98, n = 20 farms), which highlights the relevance of managing these resources in intensive Pangasius farming, and subsequent equations were also set up.

KW - CEENE

KW - Life cycle assessment

KW - Pangasius

KW - Resource use

KW - Vietnam

U2 - 10.1016/j.resconrec.2016.08.023

DO - 10.1016/j.resconrec.2016.08.023

M3 - Article

VL - 115

SP - 42

EP - 49

JO - Resources, Conservation and Recycling

JF - Resources, Conservation and Recycling

SN - 0921-3449

ER -