12.07.2015 Views

Fraser River sockeye salmon: data synthesis and cumulative impacts

Fraser River sockeye salmon: data synthesis and cumulative impacts

Fraser River sockeye salmon: data synthesis and cumulative impacts

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

aw <strong>data</strong>, the range of error around the estimates <strong>and</strong> methodological differences in estimates ofrecruits prior to the mid-1990s. Responses to issues raised by participants can be found inAppendix C.Conservation Unit Status AssessmentKatherine Wieckowski, ESSAOne of the tasks of this research is to evaluate the methodology that Fisheries <strong>and</strong> OceansCanada (DFO) has developed to assess the population <strong>and</strong> habitat status of 36 <strong>Fraser</strong> <strong>River</strong><strong>sockeye</strong> Conservation Units (CUs) (Holt et al. 2009). Two alternative methodologies forassessing population status were compared to the DFO method – one that has been developedspecifically for <strong>Fraser</strong> <strong>sockeye</strong> (Pestal <strong>and</strong> Cass 2009) <strong>and</strong> another that is not species-specific(Faber-Langendoen et al. 2009). Four criteria were used to evaluate each approach: 1) ecologicalrelevance, 2) method for setting benchmarks, 3) <strong>data</strong> requirements <strong>and</strong> availability, <strong>and</strong> 4)feasibility of implementation.The inherent vulnerability of CU habitats to various stressors was assessed using l<strong>and</strong>scape-levelindicators of migratory, spawning <strong>and</strong> rearing habitats, including: total spawning extent, ratio oflake influence to total spawning; nursery lake area, <strong>and</strong> nursery lake productivity. Indicatorswere based on mapped habitat features from provincial GIS <strong>data</strong>sets <strong>and</strong> DFO lake productivityestimates. There was little correlation among the three l<strong>and</strong>scape-level indicators, or betweenthese indicators <strong>and</strong> CU population status.Workshop participants explored potential errors in assessing conservation status, especially when<strong>data</strong> are lacking or poor. Pestal <strong>and</strong> Cass (2009) explicitly considered the uncertainty in available<strong>data</strong>, <strong>and</strong> only made status determinations for 25 of the 36 CUs in the <strong>Fraser</strong> Basin.Fisheries & Fisheries Management (<strong>Fraser</strong> & Bristol Bay)Karl English, LGLThe overarching goal of the study is to examine the <strong>Fraser</strong> <strong>sockeye</strong> <strong>salmon</strong> <strong>and</strong> Bristol Bayfisheries according to three key metrics: accuracy, precision <strong>and</strong> reliability. Factors examinedincluded catch monitoring programs, pre-season forecasting methods, in-season abundanceestimates, <strong>and</strong> escapement goals. Preliminary results showed that in both the <strong>Fraser</strong> <strong>and</strong> BristolBay, catch <strong>and</strong> escapement estimates are sufficiently reliable to manage fisheries <strong>and</strong> track trendsfor major stock groups, but that pre-season forecasts are not reliable. In the <strong>Fraser</strong>, harvest rateswere high in the 1980s <strong>and</strong> early 1990s (70-90%), but much lower from 1995-2009 (18-41%);overharvesting is not a concern now.In-season assessments are timely <strong>and</strong> reliable for achieving escapement goals in both fisheries. Inthe <strong>Fraser</strong> Basin (though not in Bristol Bay) there is considerable debate about escapement goals,

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!