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The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling

The Bio Economic Seaweed Model (BESeM) is a model designed for modelling tropical seaweed cultivation. BESeM can simulate the common tropical seaweed cultivation system with multiple harvests per year, clonal reproduction and labour intensive harvesting and replanting activities. Biomass growth is m...

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Autores principales: van Oort, P. A. J., Rukminasari, N., Latama, G., Verhagen, A., van der Werf, A.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390115/
https://www.ncbi.nlm.nih.gov/pubmed/36033834
http://dx.doi.org/10.1007/s10811-022-02799-8
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author van Oort, P. A. J.
Rukminasari, N.
Latama, G.
Verhagen, A.
van der Werf, A.K.
author_facet van Oort, P. A. J.
Rukminasari, N.
Latama, G.
Verhagen, A.
van der Werf, A.K.
author_sort van Oort, P. A. J.
collection PubMed
description The Bio Economic Seaweed Model (BESeM) is a model designed for modelling tropical seaweed cultivation. BESeM can simulate the common tropical seaweed cultivation system with multiple harvests per year, clonal reproduction and labour intensive harvesting and replanting activities. Biomass growth is modelled as a sigmoid, with growth being initially exponentially and eventually flattening off towards a maximum weight per plant or per square meter (w(f,max)). To estimate the latter, longer duration experiments than normal are needed – in the order of 100 days rather than 45 days. Drying (on platforms on the beach) is simulated as well as increase in harvested chemical concentration over time since planting, for harvested chemicals such as agar extracted from Gracilaria or carrageenan extracted from Kappaphycus or Euchema. BESeM has a limited number of parameters which makes it easily amenable to new sites and species. An experiment is presented for a site in Indonesia in which Gracilaria was monitored for 120 days in 6 nearby sites and from which BESeM model parameters were estimated. A simulation example is presented which illustrates how BESeM can be used to find the optimum combination of replanting weight and harvest cycle length (in days) for maximising gross and net farm income. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10811-022-02799-8.
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spelling pubmed-93901152022-08-22 The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling van Oort, P. A. J. Rukminasari, N. Latama, G. Verhagen, A. van der Werf, A.K. J Appl Phycol Article The Bio Economic Seaweed Model (BESeM) is a model designed for modelling tropical seaweed cultivation. BESeM can simulate the common tropical seaweed cultivation system with multiple harvests per year, clonal reproduction and labour intensive harvesting and replanting activities. Biomass growth is modelled as a sigmoid, with growth being initially exponentially and eventually flattening off towards a maximum weight per plant or per square meter (w(f,max)). To estimate the latter, longer duration experiments than normal are needed – in the order of 100 days rather than 45 days. Drying (on platforms on the beach) is simulated as well as increase in harvested chemical concentration over time since planting, for harvested chemicals such as agar extracted from Gracilaria or carrageenan extracted from Kappaphycus or Euchema. BESeM has a limited number of parameters which makes it easily amenable to new sites and species. An experiment is presented for a site in Indonesia in which Gracilaria was monitored for 120 days in 6 nearby sites and from which BESeM model parameters were estimated. A simulation example is presented which illustrates how BESeM can be used to find the optimum combination of replanting weight and harvest cycle length (in days) for maximising gross and net farm income. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10811-022-02799-8. Springer Netherlands 2022-08-19 2022 /pmc/articles/PMC9390115/ /pubmed/36033834 http://dx.doi.org/10.1007/s10811-022-02799-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
van Oort, P. A. J.
Rukminasari, N.
Latama, G.
Verhagen, A.
van der Werf, A.K.
The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title_full The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title_fullStr The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title_full_unstemmed The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title_short The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling
title_sort bio economic seaweed model (besem) for modelling tropical seaweed cultivation – experimentation and modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390115/
https://www.ncbi.nlm.nih.gov/pubmed/36033834
http://dx.doi.org/10.1007/s10811-022-02799-8
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