1. Scales of larval settlement in marine fishes and invertebrates Elizabeth Madin, Jenn Caselle and Robin Pelc 26 May 2005

2. Outline Objectives Progress to date Data Planned work Points for discussion

3. Outline Objectives Progress to date Data Planned work Points for discussion

4. Objectives 1.Gather life history data to inform F3 model parameterization: a) fishes b) invertebrates 2.Use existing data to determine scales of decorrelation in larval settlement: a) spatial b) temporal

5. Outline Objectives Progress to date Data Planned work Points for discussion

6. Progress to date Objective 1: Gather life history data to inform F3 model parameterization

7. Progress to date Focal species: -Kelp bass (Paralabrax clathratus) -Kelp rockfish (Sebates atrovirens) -Cabezon (Scorpaenichthys marmoratus) -Urchins (S. purpuratus; S. franciscanus) -Abalone (Haliotis rufescens) -Lobster (Panulirus spp.)

8. Progress to date: data gathered Larval PLD Spawning season Spawning character Fecundity (# larvae/female) Spawning cues/habitats Precompetency period Competency period Larval dispersal locations Natural mortality rate of adults (m) Form(s) of density-dependence Data sources

9. Progress to date: data gathered Habitat Duration of releases Realized dispersal distance Spatial scale of releases these data don’t seem to exist for most species relevant to F3

10. Progress to date Objective 2: Use existing data to determine scales of decorrelation in larval settlement

11. Progress to date -Initial (de-)correlation analyses explored -Some data quality and analytical issues need resolution -Currently revising these analyses to allow for more reliable, robust conclusions

12. Outline Objectives Progress to date Data Planned work Points for discussion

13. Data 1.PISCO SMURF settlement data 2.Other settlement datasets

14. Measuring fish recruitment: SMURFs

15. Kelp Bass Yellowtail/Olive Rockfish Copper Rockfish Data: PISCO Kelp Rockfish Gopher/Black & Yellow RF

16. Sampling design -2004

17. Raw data: (small subset) PISCO SMURF (ongoing) - Location: California - Species: Pacific fishes; some inverts mean settlers per SMURF - per site - per sampling period - per species/ spp. group Data: PISCO

19. Data 1.PISCO SMURF settlement data 2.Other settlement datasets

20. Data: Caffey (1985) Location: Australia (NSW) Species: barnacles (Tesseropora rosea)

21. Data: Caffey (1985)

22. Data: Ebert et al. (1994) D: Gaviota E: Ellwood Pier F: Stearn’s Wharf G: Dana Point H: SIO I: Ocean Beach Location: California Species: urchins (Strongylocentrotus franciscanus and S. purpuratus)

23. Data: Ebert et al. (1994) S. purpuratus settlement

24. Data: Ebert et al. (1994) S. franciscanus settlement

25. Data: Robertson (unpub’d) Location: Panama (San Blas Archipelago) Species: Ocean surgeon (Acanthurus bahianus)

26. Outline Objectives Progress to date Data Planned work Points for discussion

27. Planned work Incorporate new data: -Latest (2004) PISCO data -Other datasets (if possible) (Gaylord; VanTresca; Roberston)

28. Planned work New analyses: -More robust (de-)correlation analyses -Apply spatial statistical techniques (e.g., semivariograms/covariograms, kriging(?))

29. Planned work: Spatial stats

30. Planned work Further data exploration: -analogous analyses for SST data -partitioning PISCO dataset by year (i.e., to filter out interannual variation) -prewhitening (i.e., to filter out large scale climatic variation) -examine potential larval/oceanographic interactions (spatial; temporal)

31. Planned work Comparison with results of related studies: -Myers et al. (1997) settlement decorrelation (fishes); global -Field and Ralston (in review) settlement decorrelation (fishes); west coast -Broitman et al. (in press) recruitment variability (intertidal inverts); SCI

32. Outline Objectives Progress to date Data Planned work Points for discussion

33. -Calculation of ‘non-linear’ PISCO pairwise site distances: - weighting by current/flow data? - other methods? -Suggestions of other useful analyses?

34. Conclusion -PLD and other life history characteristics may influence the scales of spatial and temporal decorrelation in larval settlement -Spatial decorrelation plots may inform the probability distribution (kernel) of larval dispersal in specific regions

35. Scales of larval settlement in marine fishes and invertebrates Elizabeth Madin, Jenn Caselle and Robin Pelc 26 May, 2005