Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios

Mia Pihlajamäki, Annukka Maaria Lehikoinen, Päivi Elisabet Haapasaari, Lauri Juhani Ronkainen, Sarkki Simo, Timo P. Karjalainen

Forskningsoutput: KonferensbidragSammanfattningForskning

Sammanfattning

Exploratory scenario method is often used in planning for long‐term sustainable use of environmental resources. The method is deterministic, which means that the scenarioforming factors are fixed within each storyline, although in practice uncertainties are inherent to them. Combining probabilistic methods such as Bayesian belief networks (BBN) with exploratory scenario analysis can be useful to account for these uncertainties. Another advantage of combining the two methods is that the BBN expands the analysis beyond the fixed storylines to cover all possible combinations of the states of the scenario‐forming factors. The aim of this paper is to combine the two methods to examine the future sustainability of Baltic herring and salmon fisheries. We built four exploratory scenarios following the matrix logic approach and formulated them into a BBN to visualise the assumed causalities. We also used the BBN to examine quantitatively how changes in the societal drivers affect the social‐ecological system and ultimately the fisheries management objectives, including achieving good environmental status and increasing fisheries contribution to food security and safety. The empirical
Originalspråkengelska
StatusPublicerad - okt 2017
EvenemangBONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources - Tallinna, Estland
Varaktighet: 17 okt 201719 okt 2017

Konferens

KonferensBONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources
LandEstland
OrtTallinna
Period17/10/201719/10/2017

Vetenskapsgrenar

  • 1172 Miljövetenskap

Citera det här

Pihlajamäki, M., Lehikoinen, A. M., Haapasaari, P. E., Ronkainen, L. J., Simo, S., & Karjalainen, T. P. (2017). Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios. Abstract från BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estland.
Pihlajamäki, Mia ; Lehikoinen, Annukka Maaria ; Haapasaari, Päivi Elisabet ; Ronkainen, Lauri Juhani ; Simo, Sarkki ; Karjalainen, Timo P. / Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios. Abstract från BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estland.
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title = "Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios",
abstract = "Exploratory scenario method is often used in planning for long‐term sustainable use of environmental resources. The method is deterministic, which means that the scenarioforming factors are fixed within each storyline, although in practice uncertainties are inherent to them. Combining probabilistic methods such as Bayesian belief networks (BBN) with exploratory scenario analysis can be useful to account for these uncertainties. Another advantage of combining the two methods is that the BBN expands the analysis beyond the fixed storylines to cover all possible combinations of the states of the scenario‐forming factors. The aim of this paper is to combine the two methods to examine the future sustainability of Baltic herring and salmon fisheries. We built four exploratory scenarios following the matrix logic approach and formulated them into a BBN to visualise the assumed causalities. We also used the BBN to examine quantitatively how changes in the societal drivers affect the social‐ecological system and ultimately the fisheries management objectives, including achieving good environmental status and increasing fisheries contribution to food security and safety. The empirical",
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Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios. / Pihlajamäki, Mia; Lehikoinen, Annukka Maaria; Haapasaari, Päivi Elisabet; Ronkainen, Lauri Juhani; Simo, Sarkki; Karjalainen, Timo P.

2017. Abstract från BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estland.

Forskningsoutput: KonferensbidragSammanfattningForskning

TY - CONF

T1 - Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios

AU - Pihlajamäki, Mia

AU - Lehikoinen, Annukka Maaria

AU - Haapasaari, Päivi Elisabet

AU - Ronkainen, Lauri Juhani

AU - Simo, Sarkki

AU - Karjalainen, Timo P.

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N2 - Exploratory scenario method is often used in planning for long‐term sustainable use of environmental resources. The method is deterministic, which means that the scenarioforming factors are fixed within each storyline, although in practice uncertainties are inherent to them. Combining probabilistic methods such as Bayesian belief networks (BBN) with exploratory scenario analysis can be useful to account for these uncertainties. Another advantage of combining the two methods is that the BBN expands the analysis beyond the fixed storylines to cover all possible combinations of the states of the scenario‐forming factors. The aim of this paper is to combine the two methods to examine the future sustainability of Baltic herring and salmon fisheries. We built four exploratory scenarios following the matrix logic approach and formulated them into a BBN to visualise the assumed causalities. We also used the BBN to examine quantitatively how changes in the societal drivers affect the social‐ecological system and ultimately the fisheries management objectives, including achieving good environmental status and increasing fisheries contribution to food security and safety. The empirical

AB - Exploratory scenario method is often used in planning for long‐term sustainable use of environmental resources. The method is deterministic, which means that the scenarioforming factors are fixed within each storyline, although in practice uncertainties are inherent to them. Combining probabilistic methods such as Bayesian belief networks (BBN) with exploratory scenario analysis can be useful to account for these uncertainties. Another advantage of combining the two methods is that the BBN expands the analysis beyond the fixed storylines to cover all possible combinations of the states of the scenario‐forming factors. The aim of this paper is to combine the two methods to examine the future sustainability of Baltic herring and salmon fisheries. We built four exploratory scenarios following the matrix logic approach and formulated them into a BBN to visualise the assumed causalities. We also used the BBN to examine quantitatively how changes in the societal drivers affect the social‐ecological system and ultimately the fisheries management objectives, including achieving good environmental status and increasing fisheries contribution to food security and safety. The empirical

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Pihlajamäki M, Lehikoinen AM, Haapasaari PE, Ronkainen LJ, Simo S, Karjalainen TP. Catching the future: Using Bayesian belief networks to visualise and examine the sustainability of Baltic herring and salmon fisheries under alternative explanatory scenarios. 2017. Abstract från BONUS SYMPOSIUM: Science delivery for sustainable use of the Baltic Sea living resources, Tallinna, Estland.