{"id":2038,"date":"2017-11-02T13:27:04","date_gmt":"2017-11-02T20:27:04","guid":{"rendered":"https:\/\/mlml.sjsu.edu\/fisheries\/?page_id=2038"},"modified":"2017-11-02T13:33:09","modified_gmt":"2017-11-02T20:33:09","slug":"ccfrp-mpa-management","status":"publish","type":"page","link":"https:\/\/mlml.sjsu.edu\/fisheries\/ccfrp-mpa-management\/","title":{"rendered":"CCFRP MPA management"},"content":{"rendered":"

How can MPA monitoring inform management?<\/h3>\n
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In addition to monitoring MPA performance, the CCFRP study design enables us to identify population-level responses to environmental variation, pulses in recruitment, and changes in population growth. \u00a0We can also use CCFRP's long-term data set to test a variety of new, data-poor fishery models to better inform resource managers.<\/p>\n

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\"\"Figure 1.<\/strong>\u00a0 Using paired\u00a0MPA\/REF sampling techniques, CCFRP has been able to evaluate impacts of environmental variation on the catch rates of nearshore fishes. \u00a0The figure above shows a stark decline in catch-per-unit-effort (CPUE) of Blue and Olive Rockfish from 2007 to 2009. \u00a0Because this decline occurred in both the MPA and associated REF sites, we cannot attribute it to fishing pressure. \u00a0Instead, some environmental factor must have caused this apparent decline.<\/p>\n

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\"\"Figure 2.<\/strong>\u00a0 CCFRP scientists have been able to combine what we've learned about changes in lengths and catch rates of fishes in order to detect population-level events, such as recruitment. \u00a0As you can see from the above figure, we started to see an increase in catch-per-unit-effort (CPUE) for Black Rockfish at A\u00f1o Nueveo in 2009 and 2010. \u00a0During this same time period, we saw a reduction in the mean length for this species. \u00a0The combination of increased catch rates (a proxy for density) and decreased mean lengths tells us that there are many more small individuals in the population for this area, hence a recruitment pulse has taken place.<\/p>\n

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\"\"Figure 3.<\/strong>\u00a0\u00a0CCFRP scientists have been able to combine what we've learned about changes in lengths and catch rates of fishes in order to detect population-level events, such as population growth. \u00a0As you can see from the above figure, we have seen\u00a0an increase in catch-per-unit-effort (CPUE) for Lingcod\u00a0at A\u00f1o Nueveo and Point Lobos throughout the sampling period. \u00a0During this same time period, we have seen relatively similar mean lengths for this species. \u00a0The combination of increased catch rates (a proxy for density) and static\u00a0mean lengths tells us that there are more individuals of all sizes in the population for these areas, hence overall growth in the Lingcod population is taking place.<\/p>\n

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\"\"Figure 5.<\/strong>\u00a0 Using\u00a0CCFRP's long-term data set to test a variety of new, data-poor fishery models allows us to provide information for resource managers to better balance harvest and conservation strategies. \u00a0One model that we are currently testing utilizes the density ratio control rule, which attempts to keep a catch rates in areas open to fishing proportional to those within corresponding MPAs. \u00a0When MPA\/REF trajectories diverge, resource managers might decide to\u00a0decrease allowable catch. \u00a0On the other hand, when these trajectories converge, resource managers might want to increase the allowable catch in areas open to fishing.<\/p>\n

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Back to CCFRP Data Interpretations<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

In addition to monitoring MPA performance, the CCFRP study design enables us to identify population-level responses to environmental variation, pulses in recruitment, and changes in population growth. \u00a0We can also use CCFRP’s long-term data set to test a variety of new, data-poor fishery models to better inform resource managers. Figure 1.\u00a0 Using paired\u00a0MPA\/REF sampling techniques, […]<\/p>\n","protected":false},"author":126,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-2038","page","type-page","status-publish","hentry"],"distributor_meta":false,"distributor_terms":false,"distributor_media":false,"distributor_original_site_name":"Fisheries and Conservation Biology Lab","distributor_original_site_url":"https:\/\/mlml.sjsu.edu\/fisheries","push-errors":false,"_links":{"self":[{"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/pages\/2038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/users\/126"}],"replies":[{"embeddable":true,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/comments?post=2038"}],"version-history":[{"count":4,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/pages\/2038\/revisions"}],"predecessor-version":[{"id":2058,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/pages\/2038\/revisions\/2058"}],"wp:attachment":[{"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/media?parent=2038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/categories?post=2038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mlml.sjsu.edu\/fisheries\/wp-json\/wp\/v2\/tags?post=2038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}