Habitat structure plays a key role in determining spatial patterns of marine biota. Understanding species habitat associations offers resource managers better control over species management and sustainability. Terrestrial landscape ecology metrics used to analyze the spatial relationships for habitat associations can often be adapted to marine habitat association and compliment marine specific metrics.
Rockfish are an economically important species for California fisheries, some of these species have been overexploited and are at risk of localized extinction. This research will aid in identification of spatial patterns important to rockfish. The Del Monte Shalebeds are located approximately 1 kilometer offshore of Cannery Row in Monterey, CA. The shalebeds and associated granitic outcrops are home to different species of rockfish including Sebastes pinninger which is listed under the Endangered Species Act as a threatened species.
The area for this study is approximately 11 km2 and includes 4.4 km2 of hard substrate with high relief granitic outcrop and low relief shalebeds. Past research indicates there may be different degrees of site fidelity depending on topographic relief with rockfish exhibiting a lower degree of site fidelity over low relief substrate.
Habitat suitability models: Predicting Sebastes presence at the Del Monte Shalebeds
1. Habitat Suitability Models:
Predicting Sebastes Presence at the Del Monte Shalebeds
Lisa Jensen
California State University, Monterey Bay
ENVS 532 Advanced Geographic Information Systems
Background
Habitat structure plays a key role in determining spatial patterns of marine biota (McArthur et al.
2010). Understanding species habitat associations offers resource managers better control over
species management and sustainability (Grober-Dunsmore et al. 2008). Terrestrial landscape ecology
metrics used to analyze the spatial relationships for habitat associations can often be adapted to
marine habitat association and compliment marine specific metrics (Pittman et al. 2010).
Methods
Results
References
My appreciation to Dr. Rikk Kvitek, Pat Iampietro, Mary Young, Captain Bill Williamson, the students of ENVS 433/533
with specific appreciation to Jason Adelaars and Jessica Blakely, and the CSU Monterey Bay Seafloor Mapping Lab for
their assistance in data collection and analysis.
• Multi-beam bathymetric data were collected over
the Del Monte Shalebeds aboard the R/V Harold
Heath in Spring 2012.
• Fish presence data were collected over five days
using a Furuno searchlight CH250 sector
scanning sonar (Fig. 2).
• A Seabotix LBV remotely operated vehicle (ROV)
was used to groundtruth fish presence (Fig 3).
• Multi-beam bathymetric data were used to
create a Digital Elevation Model (DEM) (Fig. 1).
Figure 1. The Del Monte Shalebeds compose the
substrate in lower part of image. A granitic outcrop is
seen in upper left of image.
Figure 3. Seabotix LBV ROV used to
ground truth fish presence seen in Furuno.
Figure 2. Furuno Searchlight CH250 sector scanning
sonar sweeps side to side identifying targets (a). The
resulting image displays fish presence as a “cloud”
above substrate (b).
Discussion
This research indicates rockfish presence can be fairly accurately predicted utilizing landscape
metrics for habitat characteristics in conjunction with remote sensing technology. Further, this
research demonstrates rockfish presence varies predictably with measures of habitat complexity and
depth. The results here support the conclusions of previous research indicating marine biota can be
predicted using measures of habitat structure and further the use of remote sensing in prediction of
rockfish.
The final predictive model
provides good agreement
between locations of fish
presence and absence
(Cohen’s Kappa = 0.61).
Predictor variables Slope,
Eastness, and Depth were all
significant (p-value < 0.05)
with distance to topographic
peaks and VRM being the most
significant (p-value < 0.01).
The GLM was validated using
presence/absence data set
aside prior to model
development (20%) (Fig. 7).
Figure 7. Probability of occurrence with presence/absence data used
in model development (hollow) and validation (filled).
Rockfish are an economically important
species for California fisheries, some of these
species have been overexploited and are at
risk of localized extinction. This research will
aid in identification of spatial patterns
important to rockfish. The Del Monte
Shalebeds are located approximately 1
kilometer offshore of Cannery Row in
Monterey, CA (Fig. 1). The shalebeds and
associated granitic outcrops are home to
different species of rockfish including Sebastes
pinninger which is listed under the Endangered
Species Act as a threatened species.
The area for this study is approximately 11
km2 and includes 4.4 km2 of hard substrate
with high relief granitic outcrop and low relief
shalebeds. Past research indicates there may
be different degrees of site fidelity depending
on topographic relief with rockfish exhibiting a
lower degree of site fidelity over low relief
substrate.
Hypothesis:
Rockfish presence on rocky reefs varies
predictably with habitat characteristics of
topographic complexity and depth.
Rockfish presence can be accurately predicted
using habitat characteristics.
Presence ~ Slope + Eastness
+ Depth + TPI25distance
+ VRM25
Figure 6. Predictor values were associated with presence
and absence points by sampling through the raster layers.
Figure 4. Derivative rasters derived from DEM.
Figure 5. Transformation of
cyclical predictor, Aspect.
• The DEM was used to derive habitat rasters for
slope, aspect, topographic position index (TPI),
and vector ruggedness measure (VRM) (Fig 4).
• Aspect was transformed into Northness and
Eastness (Fig. 5)
• Habitat rasters were used as input along with
fish presence/absence data in a generalized
linear model (GLM) to create a probability raster
using the Marine Geospatial Ecology Toolbox
(MGET) in ArcGIS 10 (Fig. 6).
• Fish presence/absence data were set aside prior
to model development for subsequent validation
of the probability raster (Young et al. 2010).
a.
b.
Acknowledgements
Grober-Dunsmore R, Frazer TK, Beets JP, Lindberg WJ, Zwick P, Funicelli NA. 2008. Influence of landscape structure
on reef fish assemblages. Landscape Ecology 23(Supp 1):37-53.
McArthur MA, Brooke BP, Przeslawski R, Ryan DA, Lucieer VL, Nicol S, McCallum AW, Mellin C, Cresswell ID, Radke
LC. 2010. On the use of aboitoc currogates to describe marine benthic biodiversity. Estuarine, Coastal and Shelf
Science 88(1):21-22.
Matthews KR. 1990. A telemetric study of the home ranges and homing routes of copper and quillback rockfishes on
shallow rocky reefs. Canadian Journal of Zoology 68(11):2243 – 2250.
Pittman SJ, Costa BM, Jeffrey CFG, Caldow C. Importance of seascape complexity for reslient fish habitat and
sustainable fisheries. 63rd Gulf and Caribbean Fisheries Institute; 1-5 November 2010; San Juan, Puerto Rico.
Young MA, Iampietro PJ, Kvitek RG, Garza CD. 2010. Multivariate bathymetry-derived generalized linear model
accurately predicts rockfish distribution on Cordell Bank, California, USA. Marine Ecology Progress Series 415:247-261.
10%False Absence
25%
False
Presence
75%True Absence
90%True Presence
81%Accuracy
Model
Accuracy
Statistics
Table 1. Model accuracy using
reserved validation data.
Figure 8. Direction of water flow, including
beneficial effects of upwelling, at shalebeds.
a. b.
Figure 9. Profile comparison of relief at granitic
outcrop (a) and shalebed (b), the red line indicates
transect used for profile analysis.
http://www.cencoos.org/sections/conditions/CENCAL_currents/mb_n
ode.shtml
Future research efforts should include:
• Closer examination of the relationship between rockfish presence and the direction of cold, nutrient
rich waters from upwelling zones to the North of Monterey Bay (Fig. 8).
• Passive acoustic radio telemetry studies of rockfish home range and site fidelity at hard substrate
of varying relief (Fig. 9)
• Potential for variability in site fidelity over low relief and high relief hard substrate (Matthews
1990).
• The role isolation of rocky outcrops may play in the distribution and abundance of rockfish
aggregations.
Future Research
The answers to future these research efforts will provide resource managers and marine spatial
planning experts important information and tools to aid in the recovery and sustainability of rockfish.