Boundary delineation overview
Identifying Ecosystem Boundaries
Carrie Kappel, Mike Fogarty, Rebecca Martone
Ecosystem based management is fundamentally place-based management. It begins with
the goal of managing and protecting a particular ecosystem. Therefore, one of the first
steps in implementing ecosystem-based management is to define the ecosystem of
interest by outlining its boundaries. However, geographical boundaries of ecosystems
depend on the scale considered and may also be variable in time, shifting seasonally or
under changing climatic conditions. In order to define ecosystem boundaries for the
purposes of management, one must decide on the scale(s) of interest, and then determine
the biophysical (and in some cases socioeconomic) characteristics of ecosystems and
their natural variability, recognizing that any defined system is necessarily nested within
larger scale ecosystems and processes and contains smaller scale ecosystems and
processes.
Approach
We tentatively plan to use nearshore coastal Central California as a case study to develop
approaches to define ecosystem boundaries and address some of the cross-cutting issues
in EBM, such as spatial scales of processes and management, integration of datasets
collected at varying spatiotemporal scales, and coping with uncertainty in data. We
recognize that the nearshore environment and the Central Coast region are both nested
within larger systems and to a large degree are open to inputs and processes that will
cross the boundaries we specify as potential management units. For some applications, it
will be necessary to account explicitly for these “open” boundaries. During the boundary
delineation exercise we will consider the implications of processes occurring at larger
spatial scales and will examine the sensitivity of our results to alternative definitions of
the spatial extent of the analysis. This case study was deemed appropriate because of its
nested spatial scales, the quality of data available, existing interest in EBM within this
area and from the agencies with jurisdiction. We have been gathering existing empirical
data on this potential case study and will meet with managers from the areas to solicit
their expertise and advice on key management objectives, target ecosystem services, and
critical ecosystem linkages for their system.
Example questions we hope to address:
• How should the boundaries of ecosystems be defined? What constitute coherent,
natural units for management within Central California?
• What are the best techniques for integrating datasets that derive from diverse
disciplines and have been collected at varying resolutions and spatial scales? How can
one account for the joint uncertainties associated with integrated data layers and
incorporate them into models?
• How can we incorporate temporal variability and how does this variability affect the
definition of boundaries? Does this differ at different scales?
• How can boundary definition be addressed in systems with less data? Can we use this
technique to help prioritize data collection at different scales?
Using a GIS framework integrated with multivariate statistical approaches, we will
provide a framework for managers to approach ecosystem boundary definition. Below is
a step-by-step outline of our process:
- Compile physical and biological data layers and accompanying metadata for the
State of California (see Data layers for EBM boundary delineation.xls)
- Import data layers into ArcGIS
- Decide on the scale of resolution for the analysis (e.g. 1.25 km grid) based on the
datasets
- Interpolate point data (using kriging or other geospatial tool) to create raster
layers
- Perform PCA on raster data to reduce variables
- Perform cluster analysis on eigenvectors from the PCA
Example analyses:
1. Test how using this model with limited data will affect boundaries. Which data
layers tend to drive variation among cluster outputs?
2. Test how ratcheting the uncertainty up or down will affect our ability to define
boundaries.
3. Test how temporal variability (e.g seasonal or annual changes in kelp cover or
fish diversity) affects boundary delineation using maps of temporal variance.
4. Test uncertainty and data inclusion at different scales.
Questions for the group:
1. What spatial resolution would be most appropriate?
2. Are there existing analyses similar to this that we should know about?
3. Are there other data layers that should be included?
4. Are there novel questions that we could answer using this approach that we have
not considered yet?
Data layer Coverage Spatial resolution Temporal resolution Continuous or categorical
Data category Source In hand?
Bathymetry
Bathymetry statewide 10 m contour intervals
http://marinemap.org/mlpa/viewer.htm Y
Substrate & Habitat type
Benthic rugosity 200m statewide 200 m grid -
http://marinemap.org/mlpa/viewer.htm Y
Benthic rugosity 5m Central California (MLPA Central Coast study region) 5 m grid - Cat: low, med, high
http://marinemap.org/mlpa/viewer.htm Y
Seafloor type (soft vs. hard bottom) statewide Cat: soft, hard
http://marinemap.org/mlpa/viewer.htm Y
Coarse scale habitat type (also avail.
intersected with MLPA depth zones
and canyons) Central California (MLPA Central Coast study region) ? - Cat: multiple habitat types
http://marinemap.org/mlpa/viewer.htm Y
Fine scale habitat type (also avail.
intersected with MLPA depth zones
and canyons) Central California (MLPA Central Coast study region) 1:5000 scale - Cat: multiple habitat types
http://marinemap.org/mlpa/viewer.htm Y
Southern California Rocky Substrate http://marinemap.org/mlpa/viewer.htm Southern California 1:125000 - Cat: rock Y
Southern California Sediment Southern California 1:125000 - Cat: sediment
http://marinemap.org/mlpa/viewer.htm Y
Kelp
Kelp coverage statewide 1989, 1999, 2002-2004
http://marinemap.org/mlpa/viewer.htm Y
3 out of 4 of: 1989, 1999, 2002,
Persistent kelp statewide 2003
http://marinemap.org/mlpa/viewer.htm Y
9 reef sites on mainland coast of SB Channel and 2 point data (transects Cont: number of fronds,
Kelp abundance sites on N side of Santa Cruz Is. and quadrats) 2000-2005 holdfast diameter Y
SBCLTER
Fish and benthos
Fish diversity and abundance (spatial
subset of data from NMFS trawl
surveys, from N-Central CA
biogeographic analysis, all years in
one layer) Point Arena to Point Sal point data (from trawls) summer-fall (1977-2001) Cont
http://marinemap.org/mlpa/viewer.htm Y
Commercial fish landings (sp.
Specific) Statewide by Port Regional (by port) 1928-2003, monthly/annual Cont
http://www.pfeg.noaa.gov/products/las.html
Fishing location/Diver
Sea urchin fishery landings Southern California by Region (N & S) 1991-2003 annual Cont (CPUE & value)
http://www.dfg.ca.gov/Mrd/seaurchin/index.html
Commercial fish landings (sp.
Specific) Statewide by Port Regional (by port) 2001-2004 monthly Cont (CPUE & value)
http://www.dfg.ca.gov/Mrd/fishing.html
9 reef sites on mainland coast of SB Channel and 2 point data (transects Cont: % cover UPC, species
Sessile spp percent cover UPC sites on N side of Santa Cruz Is. and quadrats) 2000-2005 and/or fxn grps and substrate Y
SBCLTER
Central California (Santa Cruz (Sandhill) to Oxnard point data (transects Cont: % cover UPC, species Y (need to
Sessile spp percent cover UPC (Naples) plus the Channel Islands (to SBI) and quadrats) 1999-2005 and/or fxn grps and substrate download)
PISCO
Summary
88 sites from Santa Cruz to San Diego (including point data (transects Cont: % cover UPC, species (Not in GIS
Sessile spp percent cover UPC Channel Islands) and quadrats) 2004 and/or fxn grps and substrate layers)
CRANE
9 reef sites on mainland coast of SB Channel and 2 point data (transects
Invert and algal density swaths sites on N side of Santa Cruz Is. and quadrats) 2000-2005 Cont: counts by spp Y
SBCLTER
Central California (Santa Cruz (Sandhill) to Oxnard point data (transects Y (need to
Invert and algal density swaths (Naples) plus the Channel Islands (to SBI) and quadrats) 1999-2005 Cont: counts by spp download)
PISCO
Summary
88 sites from Santa Cruz to San Diego (including point data (transects (Not in GIS
Invert and algal density swaths Channel Islands) and quadrats) 2004 Cont: counts by spp layers)
point data (40 x 2 m
9 reef sites on mainland coast of SB Channel and 2 swath transects, Cont: counts by spp and
Fish abundance sites on N side of Santa Cruz Is. midwater and benthic) 2000-2006 length of each indiv Y
SBCLTER
point data (40 x 2 m
Central California (Santa Cruz (Sandhill) to Oxnard swath transects, Cont: counts by spp and Y (need to
Fish abundance (Naples) plus the Channel Islands (to SBI) midwater and benthic) 1999-2005 length of each indiv download)
PISCO
point data (40 x 2 m Summary
88 sites from Santa Cruz to San Diego (including swath transects, Cont: counts by spp and (Not in GIS
Fish abundance Channel Islands) midwater and benthic) 2004 length of each indiv layers)
CRANE
Data layer Coverage Spatial resolution Temporal resolution Continuous or categorical
Data category Source In hand?
Seabirds
1975-1997 (avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird density Northern and Central California 5' grid Upwelling Season) cont: 76 species
http://marinemap.org/mlpa/viewer.htm Y
1975-1997 (avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird diversity Northern and Central California 5' grid Upwelling Season) cont: Shannon-Wiener Index
http://marinemap.org/mlpa/viewer.htm Y
1984, 2001(avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird biomass density Northern and Central California 5' grid Upwelling Season) cont: 76 spp, kg/km2
http://marinemap.org/mlpa/viewer.htm Y
Bird breeding colonies Northern and Central California point data 1980, 2000, updated w/ 2002
http://marinemap.org/mlpa/viewer.htm Y
Bird colonies with counts by species cont: counts by species or
(MMS survey) statewide point data 1980 presence/absence
http://seamap.env.duke.edu/datasets/detail/271 Y
Marine mammals
Marine mammal haulouts statewide point data 2002
http://marinemap.org/mlpa/viewer.htm Y
Marine mammal rookeries statewide point data 2002
http://marinemap.org/mlpa/viewer.htm Y
Marine mammal counts statewide point data 1991 cont: counts by species Y
http://seamap.env.duke.edu/datasets/detail/271
Sea otter counts Golden Gate to Santa Barbara 0.5 km intervals 2001, 2002 Cont: counts
http://marinemap.org/mlpa/viewer.htm Y
sea otter linear densities Golden Gate to Santa Barbara 10 km segments 2001-2002 Cat: low, med, high
http://marinemap.org/mlpa/viewer.htm Y
Zooplankton
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Zooplankton biomass recent years point data 1951-1998, at least quarterly
CalCOFI
Temperature
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Temperature recent years point data 1949-2005, at least quarterly
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Temperature Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
1,3,8,14 day composites from
SST 1.25 km 2006, archives elsewhere Cont N
AVHRR http://las.pfeg.noaa.gov/oceanWatch/oceanstatewide
Y (need to
Ocean temperature statewide 0.1 degree monthly or 8 day (1985-2003) Cont download)
SeaWIFS
Salinity
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Salinity recent years point data 1949-2005, at least quarterly
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Salinity Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
Water chemistry
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Phosphate recent years point data 1949-2005, at least quarterly Cont
CalCOFI
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Oxygen recent years point data 1949-2005, at least quarterly Cont
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Oceanic constituents Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
Primary productivity
24 grid stations and 7 trans-channel stations in Santa
Surface and water column NPP Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Chlorophyll recent years point data 1983-2005, at least quarterly Cont
CalCOFI
Chlorophyll statewide 1.25 km
MODIS on Aqua
Y (need to
Chlorophyll statewide 0.1 degree monthly or 8 day (1997-2005) Cont download)
SeaWIFS
Primary productivity (derived from Y (need to
SeaWIFS Chl a) statewide 0.1 degree monthly(1997-2005) Cont download)
SeaWIFS
Upwelling
Upwelling index 15 locations along California Current point data
http://www.pfeg.noaa.gov/products/las.html
Carrie Kappel, Mike Fogarty, Rebecca Martone
Ecosystem based management is fundamentally place-based management. It begins with
the goal of managing and protecting a particular ecosystem. Therefore, one of the first
steps in implementing ecosystem-based management is to define the ecosystem of
interest by outlining its boundaries. However, geographical boundaries of ecosystems
depend on the scale considered and may also be variable in time, shifting seasonally or
under changing climatic conditions. In order to define ecosystem boundaries for the
purposes of management, one must decide on the scale(s) of interest, and then determine
the biophysical (and in some cases socioeconomic) characteristics of ecosystems and
their natural variability, recognizing that any defined system is necessarily nested within
larger scale ecosystems and processes and contains smaller scale ecosystems and
processes.
Approach
We tentatively plan to use nearshore coastal Central California as a case study to develop
approaches to define ecosystem boundaries and address some of the cross-cutting issues
in EBM, such as spatial scales of processes and management, integration of datasets
collected at varying spatiotemporal scales, and coping with uncertainty in data. We
recognize that the nearshore environment and the Central Coast region are both nested
within larger systems and to a large degree are open to inputs and processes that will
cross the boundaries we specify as potential management units. For some applications, it
will be necessary to account explicitly for these “open” boundaries. During the boundary
delineation exercise we will consider the implications of processes occurring at larger
spatial scales and will examine the sensitivity of our results to alternative definitions of
the spatial extent of the analysis. This case study was deemed appropriate because of its
nested spatial scales, the quality of data available, existing interest in EBM within this
area and from the agencies with jurisdiction. We have been gathering existing empirical
data on this potential case study and will meet with managers from the areas to solicit
their expertise and advice on key management objectives, target ecosystem services, and
critical ecosystem linkages for their system.
Example questions we hope to address:
• How should the boundaries of ecosystems be defined? What constitute coherent,
natural units for management within Central California?
• What are the best techniques for integrating datasets that derive from diverse
disciplines and have been collected at varying resolutions and spatial scales? How can
one account for the joint uncertainties associated with integrated data layers and
incorporate them into models?
• How can we incorporate temporal variability and how does this variability affect the
definition of boundaries? Does this differ at different scales?
• How can boundary definition be addressed in systems with less data? Can we use this
technique to help prioritize data collection at different scales?
Using a GIS framework integrated with multivariate statistical approaches, we will
provide a framework for managers to approach ecosystem boundary definition. Below is
a step-by-step outline of our process:
- Compile physical and biological data layers and accompanying metadata for the
State of California (see Data layers for EBM boundary delineation.xls)
- Import data layers into ArcGIS
- Decide on the scale of resolution for the analysis (e.g. 1.25 km grid) based on the
datasets
- Interpolate point data (using kriging or other geospatial tool) to create raster
layers
- Perform PCA on raster data to reduce variables
- Perform cluster analysis on eigenvectors from the PCA
Example analyses:
1. Test how using this model with limited data will affect boundaries. Which data
layers tend to drive variation among cluster outputs?
2. Test how ratcheting the uncertainty up or down will affect our ability to define
boundaries.
3. Test how temporal variability (e.g seasonal or annual changes in kelp cover or
fish diversity) affects boundary delineation using maps of temporal variance.
4. Test uncertainty and data inclusion at different scales.
Questions for the group:
1. What spatial resolution would be most appropriate?
2. Are there existing analyses similar to this that we should know about?
3. Are there other data layers that should be included?
4. Are there novel questions that we could answer using this approach that we have
not considered yet?
Data layer Coverage Spatial resolution Temporal resolution Continuous or categorical
Data category Source In hand?
Bathymetry
Bathymetry statewide 10 m contour intervals
http://marinemap.org/mlpa/viewer.htm Y
Substrate & Habitat type
Benthic rugosity 200m statewide 200 m grid -
http://marinemap.org/mlpa/viewer.htm Y
Benthic rugosity 5m Central California (MLPA Central Coast study region) 5 m grid - Cat: low, med, high
http://marinemap.org/mlpa/viewer.htm Y
Seafloor type (soft vs. hard bottom) statewide Cat: soft, hard
http://marinemap.org/mlpa/viewer.htm Y
Coarse scale habitat type (also avail.
intersected with MLPA depth zones
and canyons) Central California (MLPA Central Coast study region) ? - Cat: multiple habitat types
http://marinemap.org/mlpa/viewer.htm Y
Fine scale habitat type (also avail.
intersected with MLPA depth zones
and canyons) Central California (MLPA Central Coast study region) 1:5000 scale - Cat: multiple habitat types
http://marinemap.org/mlpa/viewer.htm Y
Southern California Rocky Substrate http://marinemap.org/mlpa/viewer.htm Southern California 1:125000 - Cat: rock Y
Southern California Sediment Southern California 1:125000 - Cat: sediment
http://marinemap.org/mlpa/viewer.htm Y
Kelp
Kelp coverage statewide 1989, 1999, 2002-2004
http://marinemap.org/mlpa/viewer.htm Y
3 out of 4 of: 1989, 1999, 2002,
Persistent kelp statewide 2003
http://marinemap.org/mlpa/viewer.htm Y
9 reef sites on mainland coast of SB Channel and 2 point data (transects Cont: number of fronds,
Kelp abundance sites on N side of Santa Cruz Is. and quadrats) 2000-2005 holdfast diameter Y
SBCLTER
Fish and benthos
Fish diversity and abundance (spatial
subset of data from NMFS trawl
surveys, from N-Central CA
biogeographic analysis, all years in
one layer) Point Arena to Point Sal point data (from trawls) summer-fall (1977-2001) Cont
http://marinemap.org/mlpa/viewer.htm Y
Commercial fish landings (sp.
Specific) Statewide by Port Regional (by port) 1928-2003, monthly/annual Cont
http://www.pfeg.noaa.gov/products/las.html
Fishing location/Diver
Sea urchin fishery landings Southern California by Region (N & S) 1991-2003 annual Cont (CPUE & value)
http://www.dfg.ca.gov/Mrd/seaurchin/index.html
Commercial fish landings (sp.
Specific) Statewide by Port Regional (by port) 2001-2004 monthly Cont (CPUE & value)
http://www.dfg.ca.gov/Mrd/fishing.html
9 reef sites on mainland coast of SB Channel and 2 point data (transects Cont: % cover UPC, species
Sessile spp percent cover UPC sites on N side of Santa Cruz Is. and quadrats) 2000-2005 and/or fxn grps and substrate Y
SBCLTER
Central California (Santa Cruz (Sandhill) to Oxnard point data (transects Cont: % cover UPC, species Y (need to
Sessile spp percent cover UPC (Naples) plus the Channel Islands (to SBI) and quadrats) 1999-2005 and/or fxn grps and substrate download)
PISCO
Summary
88 sites from Santa Cruz to San Diego (including point data (transects Cont: % cover UPC, species (Not in GIS
Sessile spp percent cover UPC Channel Islands) and quadrats) 2004 and/or fxn grps and substrate layers)
CRANE
9 reef sites on mainland coast of SB Channel and 2 point data (transects
Invert and algal density swaths sites on N side of Santa Cruz Is. and quadrats) 2000-2005 Cont: counts by spp Y
SBCLTER
Central California (Santa Cruz (Sandhill) to Oxnard point data (transects Y (need to
Invert and algal density swaths (Naples) plus the Channel Islands (to SBI) and quadrats) 1999-2005 Cont: counts by spp download)
PISCO
Summary
88 sites from Santa Cruz to San Diego (including point data (transects (Not in GIS
Invert and algal density swaths Channel Islands) and quadrats) 2004 Cont: counts by spp layers)
point data (40 x 2 m
9 reef sites on mainland coast of SB Channel and 2 swath transects, Cont: counts by spp and
Fish abundance sites on N side of Santa Cruz Is. midwater and benthic) 2000-2006 length of each indiv Y
SBCLTER
point data (40 x 2 m
Central California (Santa Cruz (Sandhill) to Oxnard swath transects, Cont: counts by spp and Y (need to
Fish abundance (Naples) plus the Channel Islands (to SBI) midwater and benthic) 1999-2005 length of each indiv download)
PISCO
point data (40 x 2 m Summary
88 sites from Santa Cruz to San Diego (including swath transects, Cont: counts by spp and (Not in GIS
Fish abundance Channel Islands) midwater and benthic) 2004 length of each indiv layers)
CRANE
Data layer Coverage Spatial resolution Temporal resolution Continuous or categorical
Data category Source In hand?
Seabirds
1975-1997 (avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird density Northern and Central California 5' grid Upwelling Season) cont: 76 species
http://marinemap.org/mlpa/viewer.htm Y
1975-1997 (avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird diversity Northern and Central California 5' grid Upwelling Season) cont: Shannon-Wiener Index
http://marinemap.org/mlpa/viewer.htm Y
1984, 2001(avail divided into
warm, cold, and neutral water
periods or Davidson Current
Season vs. Oceanic Season vs.
Bird biomass density Northern and Central California 5' grid Upwelling Season) cont: 76 spp, kg/km2
http://marinemap.org/mlpa/viewer.htm Y
Bird breeding colonies Northern and Central California point data 1980, 2000, updated w/ 2002
http://marinemap.org/mlpa/viewer.htm Y
Bird colonies with counts by species cont: counts by species or
(MMS survey) statewide point data 1980 presence/absence
http://seamap.env.duke.edu/datasets/detail/271 Y
Marine mammals
Marine mammal haulouts statewide point data 2002
http://marinemap.org/mlpa/viewer.htm Y
Marine mammal rookeries statewide point data 2002
http://marinemap.org/mlpa/viewer.htm Y
Marine mammal counts statewide point data 1991 cont: counts by species Y
http://seamap.env.duke.edu/datasets/detail/271
Sea otter counts Golden Gate to Santa Barbara 0.5 km intervals 2001, 2002 Cont: counts
http://marinemap.org/mlpa/viewer.htm Y
sea otter linear densities Golden Gate to Santa Barbara 10 km segments 2001-2002 Cat: low, med, high
http://marinemap.org/mlpa/viewer.htm Y
Zooplankton
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Zooplankton biomass recent years point data 1951-1998, at least quarterly
CalCOFI
Temperature
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Temperature recent years point data 1949-2005, at least quarterly
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Temperature Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
1,3,8,14 day composites from
SST 1.25 km 2006, archives elsewhere Cont N
AVHRR http://las.pfeg.noaa.gov/oceanWatch/oceanstatewide
Y (need to
Ocean temperature statewide 0.1 degree monthly or 8 day (1985-2003) Cont download)
SeaWIFS
Salinity
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Salinity recent years point data 1949-2005, at least quarterly
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Salinity Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
Water chemistry
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Phosphate recent years point data 1949-2005, at least quarterly Cont
CalCOFI
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Oxygen recent years point data 1949-2005, at least quarterly Cont
CalCOFI
24 grid stations and 7 trans-channel stations in Santa
Oceanic constituents Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
Primary productivity
24 grid stations and 7 trans-channel stations in Santa
Surface and water column NPP Barbara Channel and around Channel Islands point data 2001-2003 (have 2003 data only) Cont Y
SBCLTER
CalCOFI cruise locations and interpolated data,
statewide in earlier years, Southern California in more
Chlorophyll recent years point data 1983-2005, at least quarterly Cont
CalCOFI
Chlorophyll statewide 1.25 km
MODIS on Aqua
Y (need to
Chlorophyll statewide 0.1 degree monthly or 8 day (1997-2005) Cont download)
SeaWIFS
Primary productivity (derived from Y (need to
SeaWIFS Chl a) statewide 0.1 degree monthly(1997-2005) Cont download)
SeaWIFS
Upwelling
Upwelling index 15 locations along California Current point data
http://www.pfeg.noaa.gov/products/las.html