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The First International Conference on Marine Mammal Protected Areas

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• Applicati<strong>on</strong> of selecti<strong>on</strong> criteria to ensure objectivity in the choice of the sites,<br />

based <strong>on</strong> the objectives and the legal framework.<br />

Spatial modeling incorporates data <strong>on</strong> the envir<strong>on</strong>ment to predict relative density of<br />

organisms based <strong>on</strong> their preference for habitats defined by combinati<strong>on</strong>s of<br />

envir<strong>on</strong>mental covariates. It allows areas to be identified as candidate MPAs based <strong>on</strong><br />

the best descripti<strong>on</strong> of distributi<strong>on</strong> available, as informed by features of the habitat that<br />

have been shown to be important. <str<strong>on</strong>g>The</str<strong>on</strong>g> spatial modeling approach represents a great<br />

improvement over approaches that rely simply <strong>on</strong> measures of animal occurrence, such<br />

as distributi<strong>on</strong> maps or encounter rates. When combined with line-transect sampling<br />

(called the model-based method), spatial modeling becomes an alternative technique to<br />

c<strong>on</strong>venti<strong>on</strong>al line-transect sampling (design-based method), suitable for estimating<br />

abundance of biological populati<strong>on</strong>s from surveys that have not been designed to<br />

achieve equal coverage probability. Modeling allows the identificati<strong>on</strong> of c<strong>on</strong>tiguous<br />

areas of highest predicted relative densities, and this, in turn, makes it possible to design<br />

potential MPA boundaries that incorporate predicted proporti<strong>on</strong>s of relative abundance.<br />

It also allows areas with apparently good habitat but few sightings due to low search<br />

effort to be identified and further explored. Models can be refitted to incorporate new<br />

sightings and additi<strong>on</strong>al envir<strong>on</strong>mental data, thereby clarifying preferences (and<br />

associated mechanisms) and exploring possible changes in habitat preferences.<br />

Reassessing the relati<strong>on</strong>ships between relative abundance and envir<strong>on</strong>mental covariates<br />

is <strong>on</strong>e way to m<strong>on</strong>itor MPA effectiveness.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> modeling results for bottlenose dolphins off southern Spain are based <strong>on</strong> almost<br />

two decades of data. Three new Special <strong>Areas</strong> of C<strong>on</strong>servati<strong>on</strong> for bottlenose dolphins<br />

have been proposed. Also as a result of spatial modeling, other areas have been<br />

proposed for other species, including the Oceanic Area and a multi-species Specially<br />

<strong>Protected</strong> Area of Mediterranean Interest.<br />

Panel discussi<strong>on</strong>s were an integral part of the ICMMPA.<br />

ICMMPA <str<strong>on</strong>g>C<strong>on</strong>ference</str<strong>on</strong>g> Proceedings<br />

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