Fraser River sockeye salmon: data synthesis and cumulative impacts

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Table 4.8-1. Other factors potentially contributing to the decline of Fraser Riversockeye salmon that were not considered within the spectrum ofCohen Commission technical reports....................................................... 100Table 5.2-1. Recommended research and monitoring priorities listed by sockeyelife stage.. ................................................................................................. 108v
Page 1: April 2011technical report 6Fraser
Page 7 and 8: Stage 2: Smolt OutmigrationWe analy
Page 9 and 10: of multiple stressors and factors,
Page 11 and 12: 4.3.5 Other evidence ..............
Page 13: List of TablesTable 4.2-1. Evaluati
Page 17 and 18: 1.0 Introduction1.1 Project Objecti
Page 19: Section 4.0: Results, Synthesis and
Page 22 and 23: stressors interact or combine to af
Page 24 and 25: 2.3 Present Cumulative Effects Anal
Page 26 and 27: Cumulative Stress (arbitrary units)
Page 29 and 30: 3.0 Complexity, Caveats, and Overal
Page 31 and 32: also needs an underlying mechanism
Page 33 and 34: 3. provide the Cohen Commission wit
Page 35 and 36: Figure 3.3-2. Life history of Frase
Page 37 and 38: The two key objectives defining our
Page 39 and 40: River sockeye salmon but also, wher
Page 41 and 42: Multiple regression can be used to
Page 43: Key points:• Models may differ in
Page 46 and 47: Peterman and Dorner (2011) analyzed
Page 48 and 49: sockeye stocks tended to coincide w
Page 50 and 51: Figure 4.1-4. Estimates of long ter
Page 52 and 53: of the 15 stocks with declining pro
Page 54 and 55: Implications of Observed Patterns i
Page 56 and 57: supply or water temperature. Unless
Page 58 and 59: 4.2.2 Exposure of Fraser River sock
Page 60 and 61: did not correlate well with differe
Page 62 and 63: data are insufficient to perform an
Page 64 and 65:
4.2.6 ConclusionsTable 4.2-1 follow
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4. better integration of existing a
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correlated to other factors reflect
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Table 4.3-1. Evaluation of the rela
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conditions (including marine condit
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changes in Fraser sockeye stock pro
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more important question is: what is
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coastal migration. Anomalous climat
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summarize the following evidence of
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Table 4.4-1. Variables used in the
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SoG. This may be due to regional di
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general, the potential mechanisms i
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2010) and the Strait of Georgia has
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the mechanisms responsible, may hel
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would provide evidence supporting t
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4. increased data on biological oce
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thermal optimum, with longer exposu
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and therefore the total recruits in
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dependence is unlikely to have been
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how effects at different life histo
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migration, and spawning. Three addi
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VariablesModelsM1 M2 M3 M4 M5 M6 M7
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Table 4.7-3. Variables included in
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The results show that the global mo
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Table 4.8-1. Other factors potentia
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developed Lower Fraser region. Seco
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The participants agreed with the PS
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databases (e.g., corrections to pas
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Table 5.2-1. Recommended research a
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Life stagefor FraserRiversockeyesal
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Draper, N.R. and H. Smith. 1998. Ap
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Naughton, G.P., C.C. Caudill, M.L.
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Appendix 1. Statement of WorkCohen
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will be explored using a multiple r
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presented in Appendix 3.d. Unfortun
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now needs a thorough copy editing t
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12-31% of the diet. The evidence pr
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efore submitting the draft report.
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juvenile Harrison River sockeye.Res
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series, B-series, etc. to clarify t
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Response: This is a fair question.
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each model.61. Add "C4a" to the sen
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the conceptual model?Response: Our
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Response: As discussed above, we di
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hatchery pinks on sockeye. Consiste
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sudden worsening in 2007…" should
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annual data points can be interpola
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Response: We have kept these two pa
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5. What information, if any, should
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c. I anticipate that a collection o
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without merit, I would not give the
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Report Title: 6. Data Synthesis and
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Response: We have added such a disc
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(2011).This confusion continues wit
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predation)…” Well, to say that
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Appendix 3. Data and MethodsA3.1 Ap
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A3.2.2 Qualitative assessment data
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ProjectNumber Project Name Variable
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8888888888ProjectNumber Project Nam
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ProjectNumber Project Name Variable
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Each data product received from the
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Table A3.4-4. Summary of the life h
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Figure A3.4-3. Querying data to pre
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An example of final output data fro
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ProjectNumberProject Variable Subse
Page 201 and 202:
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
ProjectNumber1212121212121212121212
Page 209 and 210:
ProjectNumber1212121212121212121212
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A3.5 Data AnalysisA3.5.1 Qualitativ
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1. The adverse ecological impact ha
Page 215 and 216:
7. Removal:“Has the removal of th
Page 217 and 218:
Conceptual modelIn the U.S. Council
Page 219 and 220:
Table A3.5-1. Complete summary of a
Page 221 and 222:
egression model: β β xt + β ( x
Page 223 and 224:
Figure A3.5-2. This is an example o
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as likely to be important by each o
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ocean during a particular month). W
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observations were given a value of
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Table A3.5-3. Summary of appropriat
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Table A3.5-4. Description of the 6
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(Equation A3.5-3) provided a better
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Model selectionWe use the Burnham a
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Limitationso We only considered the
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Bayesian belief networks (BBN)BBNs
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(Fennell), which is equivalent to a
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Figure A4.2-2. Stock composition, s
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Figure A4.2-4. Stock composition fo
Page 249 and 250:
Figure A4.2-6. Stock composition fo
Page 251 and 252:
Table A4.3-2. Description of the ac
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A4.3.2Model: A4cBrood years: 1969-2
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Table A4.3-5. Estimates for all fix
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Model: A4bBrood years: 1969-2001A s
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ModelSet_A4b_VarName M1 M2 M3 M4 M5
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M8 No stressor variables added. 0 1
Page 263 and 264:
ModelSet_B4c_VarName M1 M2 M3 M4 M5
Page 265 and 266:
Table A4.3-11. B4b candidate models
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ModelSet_B4b_VarName M1 M2 M3 M4 M5
Page 269 and 270:
Table A4.3-14. C4a candidate models
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Model: C3a1980-2004A model set was
Page 273 and 274:
Table A4.3-18. Estimates for all fi
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Table A4.3-20. QCS C1a candidate mo
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Table A4.3-22. Model specifications
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Table A4.3-24. Estimates for all fi
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Overview of Required Input DataInte
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This assessment should be the contr
Page 286 and 287:
Estimation detailsObservation typeC
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Given the above definitions, you sh
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Technical and Scientific Research P
Page 292 and 293:
BackgroundIn response to the declin
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aw data, the range of error around
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government documents and interviews
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for all CUs should not rule out usi
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Key issues raised by workshop parti
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Quantitative analysis will use inte
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o Changes inside Strait of Georgia
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ReferencesFaber-Langendoen, D., L.
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Appendix B: Workshop AgendaTechnica
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Workshop AgendaNovember 30 th , 201
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3:00 pm Break [15 minutes]• Exami
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Cohen Commission welcome and introd
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Challenges and OpportunitiesDave Ma
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Conclusion #1: Most other BC and La
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Peterman: That was done and it does
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Data needs, uncertainty and availab
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estimates, escapement enumeration,
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English: That’s certainly the cas
Page 329 and 330:
Christensen: We keep hearing about
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wild salmonids, but it is highly le
Page 333 and 334:
Kent: (…?) parasite mortality in
Page 335 and 336:
A detailed hazard evaluation, which
Page 337 and 338:
Urbanization upstream of Hope since
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coast. That winter featured wetter
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change was in 1989, but there was n
Page 343 and 344:
Research program presentations (con
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qualitative), abundance of potentia
Page 347 and 348:
Christensen: Bristol Bay stocks are
Page 349 and 350:
Comments are welcomed on the indica
Page 351 and 352:
Key metrics: The most important met
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degrees C per decade, but that tren
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subject less fit to deal with major
Page 357 and 358:
Peterman: Before you conclude from
Page 359 and 360:
McKinnell: There are no marine surv
Page 361 and 362:
List of ParticipantsDave Marmorek,
Page 363:
CohenCommissionProjectChange 1 (enr
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Fraser River sockeye salmon: data synthesis and cumulative impacts

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