Objective
The present study proposes the application of various tools, including multivariate analysis, community structure indices path analysis and EcopATH modelling in order to understand the dynamics involved and possible factors affecting the Cape Verde coastal ecosystem. lle overall objective is to contribute to the sustainable management of fisheries resources and maintaining biodiversity, vital for food security and export revenue in Cage Verde. Although 21 intemational. surveys have been carried out in Cape Verde during the period from 1952 to 1997, this information is far from having been used to its full potential. 11iis information is suitable for a study that considers ecosystem dynamics, including characteristics such as trophic interactions, community metrics such as size and diversity spectra, production and fishing pressure. Since 1983, there appears to be a trend for decreasing catches and CPUE, which is in contradiction with the current estimated low level of exploitation (10% - 501/o).
Some relevant questions are; Has there been a shift in abundance of different species as a re~ffit of trophic interactions and fishing impact? Have there been events of an oceanographic nature that have affected the productivity of the coastal area and the availability of resources such as tuna? What is the current state of coastal resources and how does this agect the availability of live bait for the tuna fisheries? The study will take into account spatial effects by dividing the coastal area into sub-area , taking into account species composition, size composition, abiotic factors, and sea-bottom topography. lle study will compare ecosystem characteristics over a period of 40 years, from 1957 to 1997, concentrating on the surveys by RIV Baldaque da Silva (1957,1958. 1959). RIV Fridtiof Nansen (198 lk R/V Feneur (1 984~ 1985, 1988) and RIV Capricornio (1997).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- agricultural sciences agriculture, forestry, and fisheries fisheries
- natural sciences physical sciences astronomy planetary sciences planetary geology
- social sciences economics and business economics production economics productivity
- medical and health sciences health sciences nutrition
- natural sciences biological sciences ecology ecosystems coastal ecosystems
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
LISBOA
Portugal
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