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Social, Economic and Cultural Overview and Assessment for Ocean ...

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Core Elements of a SECOA: Based on the in<strong>for</strong>mation gleaned from the case studies, a<br />

set of “core elements” were identified, reflecting the minimum level of in<strong>for</strong>mation that<br />

seems to be required <strong>for</strong> conducting a SECOA. Under the social component, the core<br />

variables include demography, education <strong>and</strong> training, health <strong>and</strong> community services<br />

<strong>and</strong> coastal-ocean use patterns. <strong>Economic</strong> variables identified included employment,<br />

macro indicators such as GDP, available utilities, industry profiles (notably the fishing<br />

sector) <strong>and</strong> housing. <strong>Cultural</strong> variables included indigenous traditions <strong>and</strong> heritage. The<br />

principal governance variables included structure, traditional/Aboriginal governance <strong>and</strong><br />

en<strong>for</strong>cement/security. Although these lists reflect the more commonly occurring of the<br />

variables, the sum of these should not be interpreted as indicating a “best way” to conduct<br />

a SECOA. In reality, the approaches used <strong>and</strong> the depth of data collection will depend on<br />

local conditions, human <strong>and</strong> financial capacity, time <strong>and</strong> political constraints, as well as<br />

the objectives of the assessment. A SECOA must be adapted <strong>and</strong> its process modified to<br />

reflect all of these relevancy factors, including both spatial <strong>and</strong> temporal considerations.<br />

Attribute Analysis: The attributes of a SECOA were divided into process-related,<br />

content-related <strong>and</strong> data-<strong>for</strong>m components. It was apparent that each socio-economic<br />

assessment possesses different characteristics depending on its objectives, phase, time,<br />

budgetary <strong>and</strong> operational limitations – as above, these relevancy factors are crucial to<br />

consider in terms of how applicable a given case study is to a LOMA context. In terms of<br />

specifics, economic data was usually more in-depth than social, cultural or governance<br />

in<strong>for</strong>mation. Interestingly, approximately half of the case studies flagged current <strong>and</strong>/or<br />

emerging threats that could affect the management area; this aspect could be of particular<br />

importance to LOMAs, e.g., in the face of climate change <strong>and</strong> privatization of rural areas.<br />

Overall observations: The main trends that appeared to emerge <strong>for</strong> process-related<br />

points were: (a) cross-scale vertical <strong>and</strong> horizontal linkages are important when<br />

undertaking a SECOA at the scale of a LOMA, (b) the agendas of the agencies leading a<br />

SECOA may influence the short-term <strong>and</strong> long-term success of the work, <strong>and</strong> future<br />

implementation aspects, <strong>and</strong> (c) community involvement, especially in decision making,<br />

can help with the success of a SECOA, <strong>and</strong> furthermore, the team leading the SECOA<br />

iv

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