Sakari Kuikka

ORCID: 0000-0001-8802-8013
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About
Contact & Profiles
Research Areas
  • Marine and fisheries research
  • Fish Ecology and Management Studies
  • Bayesian Modeling and Causal Inference
  • Marine Bivalve and Aquaculture Studies
  • Research in Social Sciences
  • Oil Spill Detection and Mitigation
  • Risk and Safety Analysis
  • Maritime Navigation and Safety
  • Environmental and Social Impact Assessments
  • Water Quality and Pollution Assessment
  • Coastal and Marine Management
  • Complex Systems and Decision Making
  • Marine Biology and Ecology Research
  • Water resources management and optimization
  • Isotope Analysis in Ecology
  • Marine and environmental studies
  • Fish Biology and Ecology Studies
  • Arctic and Russian Policy Studies
  • Coral and Marine Ecosystems Studies
  • Hydrology and Watershed Management Studies
  • Marine and coastal ecosystems
  • Food Industry and Aquatic Biology
  • Forecasting Techniques and Applications
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Sustainability and Climate Change Governance

University of Helsinki
2014-2023

Kotka Maritime Research Centre
2020-2021

University of Oulu
2014

Marine Institute
2012

The risk of a large-scale oil spill remains significant in marine environments as international maritime transport continues to grow. environmental well the socio-economic impacts could be substantial. Oil models and modeling tools for Pollution Preparedness Response (PPR) can support effective management. However, there is lack integrated approaches that consider risks comprehensively, learn from all information sources, treat system uncertainties an explicit manner. Recently, use ISO...

10.1016/j.jenvman.2020.111520 article EN cc-by Journal of Environmental Management 2020-11-07

The large variability in Baltic cod (Gadus morhua) recruitment has been attributed both to environmental factors dependent on the inflow of saline water (oxygen and salinity spawning deeps) size stock. Due complex interactions between hydrographic biological processes, future levels will remain highly uncertain increase uncertainties stock predictions management advice. We assessed effects exploitation level mesh used by a trawl fishery some variables interest under different conditions....

10.1139/f98-206 article EN Canadian Journal of Fisheries and Aquatic Sciences 1999-04-01

Abstract Carlin tagging data for 1980–1991 were used to examine the influence of smolt size and feeding conditions on post‐smolt survival ranched River Neva salmon, ( Salmo salar L.), in Gulf Finland, which is native area stock, Bothnian Sea, where stock has been introduced. Because better conditions, rates higher less variable Finland than Sea. In annual variability decreased mean value increased with increasing from smallest (14–16 cm) largest (28–30 classes. The was positively correlated...

10.1111/j.1365-2400.1995.tb00110.x article EN Fisheries Management and Ecology 1995-09-01

The study of fisheries-induced evolution is a research field which becoming recognized both as an important and interesting problem in applied evolution, well practical management fisheries. Much the has focussed on quantifying proving that evolutionary response taken place, but less effort been invested actual processes traits underlying capture fish by fishing gear. This knowledge not only needed to understand possible phenotypic selection associated also help device sustainable fisheries...

10.1111/j.1752-4571.2009.00070.x article EN cc-by Evolutionary Applications 2009-02-11

Abstract Mäntyniemi, S., Kuikka, Rahikainen, M., Kell, L. T., and Kaitala, V. 2009. The value of information in fisheries management: North Sea herring as an example. – ICES Journal Marine Science, 66: 2278–2283. We take a decision theoretical approach to management, using Bayesian integrate the uncertainty about stock dynamics current status, express management objectives form utility function. new information, potentially resulting control measures, is high if expected help differentiating...

10.1093/icesjms/fsp206 article EN cc-by-nc ICES Journal of Marine Science 2009-08-08

Haapasaari, P., S. Kulmala, and Kuikka. 2012. Growing into Interdisciplinarity: How to Converge Biology, Economics, Social Science in Fisheries Research? Ecology Society 17(1): 6. https://doi.org/10.5751/ES-04503-170106

10.5751/es-04503-170106 article EN cc-by Ecology and Society 2012-01-01

Oil transport has greatly increased in the Gulf of Finland over years, and risks an oil accident occurring have risen. Thus, effective combating strategy is needed. We developed a Bayesian Network (BN) to examine recovery efficiency optimal disposition Finnish vessels (GoF), Eastern Baltic Sea. Four alternative home harbors, five points, ten were included model find policy that would maximize efficiency. With this composition, placement seems not significant effect on The process be strongly...

10.1021/es303634f article EN Environmental Science & Technology 2013-01-17

The highly globalized and competitive nature of the shipping industry poses serious governance challenges. Recently, use voluntary measures, such as corporate social responsibility (CSR) initiatives, has been explored in terms moving towards environmentally socially responsible well safe practices. Limited attention paid on role stakeholders consumers, employees, NGOs, academia pressuring greater environmental responsibility. Here, by applying stakeholder theory drawing examples already...

10.1007/s13437-017-0134-z article EN cc-by WMU Journal of Maritime Affairs 2017-12-18

A rapid increase in maritime traffic together with challenging navigation conditions and a vulnerable ecosystem has evoked calls for improving safety the Gulf of Finland, Baltic Sea. It is suggested that these improvements will be result adopting regionally effective proactive approach to policy formulation management. grounded on formal process identifying, assessing evaluating accident risks, adjusting policies or management practices before accidents happen. Currently, globally regulated...

10.1016/j.marpol.2015.06.003 article EN cc-by-nc-nd Marine Policy 2015-06-16

Marine and coastal activities are closely interrelated, conflicts among different sectors can undermine management conservation objectives. Governance systems for fisheries, power generation, irrigation, aquaculture, marine biodiversity conservation, other maritime typically organized to manage within sectors, rather than across them. Based on the discussions around eight case studies presented at a workshop held in Brest June 2019, this paper explores institutional approaches move beyond...

10.3389/fmars.2020.544440 article EN cc-by Frontiers in Marine Science 2020-09-11

A Bayesian state–space mark–recapture model is developed to estimate the exploitation rates of fish stocks caught in mixed-stock fisheries. Expert knowledge and published results on biological parameters, reporting tags other key are incorporated into analysis through elaborations structure use informative prior probability distributions for parameters. Information related hierarchical structures parameters that represent differences between stock question stocks. Fishing mortality modelled...

10.1139/f05-215 article EN Canadian Journal of Fisheries and Aquatic Sciences 2006-01-23

Abstract Levontin, P., Kulmala, S., Haapasaari, and Kuikka, S. 2011. Integration of biological, economic, sociological knowledge by Bayesian belief networks: the interdisciplinary evaluation potential management plans for Baltic salmon. – ICES Journal Marine Science, 68: . There is a growing need to evaluate fisheries in comprehensive context involving stakeholders. The use probabilistic model salmon demonstrated. analysis draws on several scientific studies: biological stock assessment with...

10.1093/icesjms/fsr004 article EN ICES Journal of Marine Science 2011-02-15

Excessively high rates of fishing mortality have led to rapid declines several commercially important fish stocks. To harvest stocks sustainably, fisheries management requires accurate information about population dynamics, but the generation this information, known as stock assessment, traditionally relies on conservative and rather narrowly data-driven modelling approaches. improve available for management, there is a demand increase biological realism stock-assessment practices better...

10.1139/a2012-006 article EN Environmental Reviews 2012-06-01

Comprehensive problem framing that includes different perspectives is essential for holistic understanding of complex problems and as the first step in building models.We involved five stakeholders to frame management Central Baltic herring fishery.By using Bayesian belief networks (BBNs) approach, views were built into graphical influence diagrams representing variables their dependencies.The scientists concentrated on biological concerns, whereas fisher, manager, representative an...

10.5751/es-04907-170336 article EN cc-by Ecology and Society 2012-01-01
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