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        <gco:CharacterString>The Kent’s Inshore Fisheries Project, was created by Max Renton and Lucy Lee, as part of the Coastal Explorer Internship Programme (CEIP). The project’s aim was to build an understanding of the inshore fisheries around Kent, to give an insight of the pressures on the areas the Kent Wildlife Trust Group (KWTG) are trying to protect, and advise where KWTG efforts are best placed. Fishers play a major role in the marine environment. Fishers’ local Ecological Knowledge (FEK) is knowledge that is held by fishers about their local ecosystems and has been derived from their human–environment interactions and observations, in combination with information passed down from previous generations. With this in mind, the project aimed to reveal how the KWTG can work closer with the fishers to benefit both the marine environment and the fisheries.

The project had three main objectives: 1) Find out the main landing locations in Kent, what is being landed, what methods are being used and how many vessels there are. 2) Find out the main fishing associations in Kent and how they operate, in order to better understand how to effectively communicate with local fishing communities. 3) Explore and document the views and opinions of the local fishing communities in Kent.

The following report was produced as part of the Coast Explorer Internship; a collaborative project between Adonis Blue Environmental Consultant (Kent Wildlife Trust), The Crown Estate, Vattenfall, and the Canterbury City Council, which is funded by The Crown Estate and managed by Adonis Blue Environmental Consultant.</gco:CharacterString>
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        The participants were asked a combination of open and closed questions. The first section consisted of closed questions to understand general information about their fishing. For example, fishers were asked what species do you currently fish for, to 
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        All audio recorded interviews were transcribed into text using NVivo and then manually adjusted. The data from the open question analysis were analysed using NVivo, a qualitative analysis software (6). Data were analysed using content analysis
        and description-based coding. This means themes for each question category were generated before analysing the transcripts. Significant information which then referenced these themes, was then assigned to the relevant code. For example, if a 
        fisher was referencing an issue which affects their fishing, this would be coded to the Issues affecting fishing code.
        Data used has been collected and supported by the MMO, KEIFCA and Seafish.</gco:CharacterString>
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                <gco:CharacterString>EPSG Geodetic Parameter Registry</gco:CharacterString>
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                    <gco:Date>2021-03-18</gco:Date>
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          <gmd:code>
            <gmx:Anchor xlink:href="https://apps.epsg.org/api/v1/ProjectedCoordRefSystem/27700">OSGB36 / British National Grid</gmx:Anchor>
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