D4.1 Review of Environmental Models - SEAT Global
D4.1 Review of Environmental Models - SEAT Global
D4.1 Review of Environmental Models - SEAT Global
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2.3.2. Example 2: Sea urchin fishery management, Chile<br />
Del Campo Barquin (2002) used GIS coupled with external simulation models that were<br />
produced using Powersim dynamic modelling s<strong>of</strong>tware to depict spatially the current state<br />
<strong>of</strong> natural stocks <strong>of</strong> the red sea urchin Loxechinus albus and other important commercial<br />
benthic resources in a small area <strong>of</strong> the central coast <strong>of</strong> Chile. Coupled with data on the<br />
major physical characteristics <strong>of</strong> the coastal environment, such as bathymetry and seabed<br />
type, models were developed which optimised sites for restocking <strong>of</strong> hatchery- reared seed<br />
<strong>of</strong> red sea urchin and which accorded with the aims <strong>of</strong> the local area management plan (Fig.<br />
2.2). By integrating the biological and socio economic outcomes in an external simulation<br />
model, the ultimate objective <strong>of</strong> the GIS- based model for restocking and exploitation <strong>of</strong> the<br />
red sea urchin fishery was achieved.<br />
Figure. 2.2: Suitability <strong>of</strong> areas for fishery restocking in Quintay bay, Chile. The image shows<br />
environmentally suitable areas for restocking cross-tabulated with existing populations <strong>of</strong><br />
keyhole limpet Fisurella sp, the red sea urchin Loxechinus alba and the Chilean abalone<br />
Concholepas concholepas. Dark green = Highly suitable areas for L. Alba restocking. (after del<br />
Campo Barquin, 2002).<br />
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