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Scales of larval settlement in marine fishes and invertebrates. Elizabeth Madin, Jenn Caselle and Robin Pelc 26 May 2005. Outline. Objectives Progress to date Data Planned work Points for discussion. Outline. Objectives Progress to date Data Planned work Points for discussion.
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Scales of larval settlement in marine fishes and invertebrates Elizabeth Madin, Jenn Caselle and Robin Pelc 26 May 2005
Outline Objectives Progress to date Data Planned work Points for discussion
Outline Objectives Progress to date Data Planned work Points for discussion
Objectives • 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
Outline Objectives Progress to date Data Planned work Points for discussion
Progress to date Objective 1: Gather life history data to inform F3 model parameterization
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.)
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
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
Progress to date Objective 2: Use existing data to determine scales of decorrelation in larval settlement
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
Outline Objectives Progress to date Data Planned work Points for discussion
Data • PISCO SMURF settlement data 2. Other settlement datasets
Copper Rockfish Kelp Rockfish Kelp Bass Gopher/Black & Yellow RF Yellowtail/Olive Rockfish Data: PISCO
Sampling design -2004
Data: PISCO 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 SMURF settlement data 2. Other settlement datasets
Data: Caffey (1985) Location: Australia (NSW) Species: barnacles (Tesseropora rosea)
Data: Ebert et al. (1994) Location: California Species: urchins (Strongylocentrotus franciscanus and S. purpuratus) D: Gaviota E: Ellwood Pier F: Stearn’s Wharf G: Dana Point H: SIO I: Ocean Beach
Data: Ebert et al. (1994) S. purpuratus settlement
Data: Ebert et al. (1994) S. franciscanus settlement
Data: Robertson (unpub’d) Location: Panama (San Blas Archipelago) Species: Ocean surgeon (Acanthurus bahianus)
Outline Objectives Progress to date Data Planned work Points for discussion
Planned work Incorporate new data: • Latest (2004) PISCO data • Other datasets (if possible) (Gaylord; VanTresca; Roberston)
Planned work New analyses: • More robust (de-)correlation analyses • Apply spatial statistical techniques (e.g., semivariograms/covariograms, kriging(?))
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)
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
Outline Objectives Progress to date Data Planned work Points for discussion
Points for discussion • Calculation of ‘non-linear’ PISCO pairwise site distances: - weighting by current/flow data? - other methods? • Suggestions of other useful analyses?
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
Scales of larval settlement in marine fishes and invertebrates Elizabeth Madin, Jenn Caselle and Robin Pelc 26 May, 2005