Research Output per year
Research Output per year
Personal profile
Artistic and research interests
In my research, I am exploring ways to exploit natural resources within the safe operating space, defined by planetary boundaries, while maintaining feasible and sustainable future food opportunities.
I am currently working with:
a) An expert knowledge elicitation aiming to quantify interactions of planetary boundaries in local scale.
b) Building a seafood supply model, mapping the dependencies and competition for feed resources between the aquaculture and livestock sectors.
Sustainable food futures within safe operating spaces - SOS.aquaterra
The project aims to identify feasible solutions to meet future food demand globally while staying within local and global safe operating spaces (SOS), such as planetary boundaries. In the project, we will develop a novel integrated modelling system that captures interactions between the relevant planetary boundary processes and the global food system. We will also assess the social feasibility of different measures that would ease the pressure food production puts on the environment. Project is funded by a H2020 ERC CoG grant.
Education/Academic qualification
Doctor of Philosophy, Helsingin yliopisto
Award Date: 27 Aug 2019
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Research Output
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Calibrating Expert Assessments Using Hierarchical Gaussian Process Models
Perälä, T. A., Vanhatalo, J. & Chrysafi, A., Dec 2020, In : Bayesian Analysis. 15, 4, p. 1251-1280 30 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Data-limited fisheries: Incorporating expert knowledge into stock assessment
Chrysafi, A., 28 May 2019, University of Helsinki.Research output: Thesis › Doctoral Thesis › Collection of Articles
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Eliciting expert knowledge to inform stock status for data-limited stock assessments
Chrysafi, A., Cope, J. M. & Kuparinen, A., 1 Mar 2019, In : MARINE POLICY. 101, p. 167-176 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Testing approaches to determine relative stock abundance priors when setting catch recommendations using data-limited methods
Chrysafi, A. & Cope, J. M., 1 Nov 2019, In : FISHERIES RESEARCH. 219, 11 p., 105343.Research output: Contribution to journal › Article › Scientific › peer-review
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Assessing abundance of populations with limited data: Lessons learned from data-poor fisheries stock assessment
Chrysafi, A. & Kuparinen, A., 2016, In : ENVIRONMENTAL REVIEWS. 24, 1, p. 25-38Research output: Contribution to journal › Review Article › Scientific › peer-review
Open Access
Projects
- 1 Active
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SOS.aquaterra: Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resources
Kummu, M., Chrysafi, A., Piipponen, J., Sandström, V. & Porkka, M.
01/04/2019 → 31/05/2024
Project: EU: ERC grants