Converging biology, economics and social science in fisheries research –lessons learned.

Päivi Elisabet Haapasaari, Soile Kulmala, Sakari Kuikka

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Abstract

It has been acknowledged that natural sciences cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded towards a more holistic direction by incorporating social and economic issues. Besides this, the multifaceted knowledge has to be summarized in a form that can support science-based decision making. Interdisciplinary skills and methodologies are required that enable the integration of knowledge from conceptually different disciplines. We built an integrated decision support tool for the long term management of the Baltic salmon stocks, using the Bayesian networks. It enabled the analysis of the outcomes of different management measures from biological, social and economic perspectives. The synthesis was the final output of a learning process of eight years. We reflect how and what kind of interdisciplinarity between natural scientists, economists and social scientists grew from the need to better understand complexity related to the salmon fisheries in the Baltic Sea, what we learned about the fishery, and what we learned about interdisciplinary collaboration.
Original languageEnglish
Title of host publicationConference proceedings of ICES Annual Science Conference
Place of PublicationCopenhagen
PublisherInternational Council for the Exploration of the Sea, (ICES)
Publication date2011
Article numberICES CM 2011/R:13
Publication statusPublished - 2011
EventICES Annual Science Conference 2011 - Gdansk, Gdansk, Poland
Duration: 19 Sep 201023 Sep 2010

Conference

ConferenceICES Annual Science Conference 2011
LocationGdansk
CountryPoland
CityGdansk
Period19/09/201023/09/2010

Fingerprint

fishery
economics
learning
decision making
methodology
social science
science
natural science
analysis
decision
sea

Keywords

  • Bayesian networks
  • Interdisciplinarity
  • Learning
  • Multidisciplinarity

Cite this

Haapasaari, P. E., Kulmala, S., & Kuikka, S. (2011). Converging biology, economics and social science in fisheries research –lessons learned. In Conference proceedings of ICES Annual Science Conference [ICES CM 2011/R:13] Copenhagen: International Council for the Exploration of the Sea, (ICES).
Haapasaari, Päivi Elisabet ; Kulmala, Soile ; Kuikka, Sakari. / Converging biology, economics and social science in fisheries research –lessons learned. Conference proceedings of ICES Annual Science Conference . Copenhagen : International Council for the Exploration of the Sea, (ICES), 2011.
@inproceedings{b4623ac7a3644ade90379319de9a7ee9,
title = "Converging biology, economics and social science in fisheries research –lessons learned.",
abstract = "It has been acknowledged that natural sciences cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded towards a more holistic direction by incorporating social and economic issues. Besides this, the multifaceted knowledge has to be summarized in a form that can support science-based decision making. Interdisciplinary skills and methodologies are required that enable the integration of knowledge from conceptually different disciplines. We built an integrated decision support tool for the long term management of the Baltic salmon stocks, using the Bayesian networks. It enabled the analysis of the outcomes of different management measures from biological, social and economic perspectives. The synthesis was the final output of a learning process of eight years. We reflect how and what kind of interdisciplinarity between natural scientists, economists and social scientists grew from the need to better understand complexity related to the salmon fisheries in the Baltic Sea, what we learned about the fishery, and what we learned about interdisciplinary collaboration.",
keywords = "Bayesian networks, Interdisciplinarity, Learning, Multidisciplinarity",
author = "Haapasaari, {P{\"a}ivi Elisabet} and Soile Kulmala and Sakari Kuikka",
year = "2011",
language = "English",
booktitle = "Conference proceedings of ICES Annual Science Conference",
publisher = "International Council for the Exploration of the Sea, (ICES)",

}

Haapasaari, PE, Kulmala, S & Kuikka, S 2011, Converging biology, economics and social science in fisheries research –lessons learned. in Conference proceedings of ICES Annual Science Conference ., ICES CM 2011/R:13, International Council for the Exploration of the Sea, (ICES), Copenhagen, ICES Annual Science Conference 2011, Gdansk, Poland, 19/09/2010.

Converging biology, economics and social science in fisheries research –lessons learned. / Haapasaari, Päivi Elisabet; Kulmala, Soile; Kuikka, Sakari.

Conference proceedings of ICES Annual Science Conference . Copenhagen : International Council for the Exploration of the Sea, (ICES), 2011. ICES CM 2011/R:13.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

TY - GEN

T1 - Converging biology, economics and social science in fisheries research –lessons learned.

AU - Haapasaari, Päivi Elisabet

AU - Kulmala, Soile

AU - Kuikka, Sakari

PY - 2011

Y1 - 2011

N2 - It has been acknowledged that natural sciences cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded towards a more holistic direction by incorporating social and economic issues. Besides this, the multifaceted knowledge has to be summarized in a form that can support science-based decision making. Interdisciplinary skills and methodologies are required that enable the integration of knowledge from conceptually different disciplines. We built an integrated decision support tool for the long term management of the Baltic salmon stocks, using the Bayesian networks. It enabled the analysis of the outcomes of different management measures from biological, social and economic perspectives. The synthesis was the final output of a learning process of eight years. We reflect how and what kind of interdisciplinarity between natural scientists, economists and social scientists grew from the need to better understand complexity related to the salmon fisheries in the Baltic Sea, what we learned about the fishery, and what we learned about interdisciplinary collaboration.

AB - It has been acknowledged that natural sciences cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded towards a more holistic direction by incorporating social and economic issues. Besides this, the multifaceted knowledge has to be summarized in a form that can support science-based decision making. Interdisciplinary skills and methodologies are required that enable the integration of knowledge from conceptually different disciplines. We built an integrated decision support tool for the long term management of the Baltic salmon stocks, using the Bayesian networks. It enabled the analysis of the outcomes of different management measures from biological, social and economic perspectives. The synthesis was the final output of a learning process of eight years. We reflect how and what kind of interdisciplinarity between natural scientists, economists and social scientists grew from the need to better understand complexity related to the salmon fisheries in the Baltic Sea, what we learned about the fishery, and what we learned about interdisciplinary collaboration.

KW - Bayesian networks

KW - Interdisciplinarity

KW - Learning

KW - Multidisciplinarity

M3 - Article in proceeding

BT - Conference proceedings of ICES Annual Science Conference

PB - International Council for the Exploration of the Sea, (ICES)

CY - Copenhagen

ER -

Haapasaari PE, Kulmala S, Kuikka S. Converging biology, economics and social science in fisheries research –lessons learned. In Conference proceedings of ICES Annual Science Conference . Copenhagen: International Council for the Exploration of the Sea, (ICES). 2011. ICES CM 2011/R:13