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Decision-making and economics of adaptation to climate change in the fisheries and aquaculture sector

COFI/2020/SBD.15












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    Book (stand-alone)
    Decision-making and economics of adaptation to climate change in the fisheries and aquaculture sector 2019
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    This publication reviews available information on the costs and benefits of climate change adaptation in the fisheries and aquaculture sector, highlights the challenges in applying conventional appraisal and decision support tools to adaptation and reviews emerging frameworks (including low-regret actions, addressing potential lock-in, and early planning for long-term adaptation) as well as economic tools to appraise adaptation options in fisheries and aquaculture.
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    Document
    FAO-MOSAICC: The FAO modelling system for agricultural impacts of climate change to support decision-making in adaptation 2011
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    The Food and Agriculture Organization of the United Nations (FAO) has developed in partnership with European research institutes an integrated package of models to carry out climate change impact assessment studies at the national level. This package, called FAOMOSAICC (for Modelling System for Agricultural Impacts of Climate Change), allows for climate data downscaling, spatial interpolation, hydrological modelling, and crop and economic simulations, to be carried out sequentially. FAO-MOSAICC is designed to be distributed to national institutions in developing countries. While FAO-MOSAICC can be used for a wide range of analyses (climate change impacts on water resources, crop yields etc.), its ultimate 2 objective is to identify the most robust adaptation strategies to mitigate the potentially adverse effects of climate change on national food security. This paper describes the modelling system with a focus on the Dynamic Computable General Equilibrium (DCGE) model that simulates th e effects of climate-change-induced changes in crop yields on national economies over time. To make the use of the model as cheap as possible for use by national institutions, it uses an open source programming language and free software to solve the model. The model can be implemented and solved on Windows and Linux platforms. Some features of the model will be illustrated by a test of the model on Moroccan data with projections over the period 2001-2030.
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    Book (series)
    Terminal evaluation of the project "Strengthening the adaptive capacity to climate change in the fisheries and aquaculture sector of Chile
    GCP/CHI/039/GFF - GEF ID: 6955
    2021
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    The project “Strengthening the adaptive capacity to climate change in the fisheries and aquaculture sector of Chile”, with support from the Global Environment Facility (GEF), sought to reduce the vulnerability and increase the adaptive capacity to climate change in the fisheries and aquaculture sector of Chile. Implemented in four remote coves, the project was geared towards coastal communities through high quality in-person participatory capacity building sessions, raising awareness about topics such as productive diversification, adaptation to climate change, aquaculture and tourism. Despite there being several changes in civil servants and government authorities, as well as certain delays due to the COVID-19 pandemic and civil unrest in the country, the project managed to progress towards the formulated objective, was relevant to the actual situation and suited to the needs of the beneficiaries. Lessons learned were also generated to improve the formulation and management of this type of project in the future. Notably, the evaluation found that climate change adaptation workshops have a high potential for replicability across different geographic settings in the region.

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