to develop a prototype gis based tool for decision makers
DESCRIPTION
Estuary-Wide, Habitat Specific Estimates of Fisheries Ecosystem Services in a Pacific Northwest Estuary. To develop a prototype GIS based tool for decision makers. Tim O’Higgins: NRC associateship Mentor: Dr. Steve Ferraro. DEFINITIONS. - PowerPoint PPT PresentationTRANSCRIPT
Estuary-Wide, Habitat Estuary-Wide, Habitat Specific Estimates of Specific Estimates of Fisheries Ecosystem Fisheries Ecosystem Services in a Pacific Services in a Pacific Northwest EstuaryNorthwest Estuary
To develop a prototype GIS based tool for To develop a prototype GIS based tool for decision makersdecision makers
Tim O’Higgins: NRC associateship Mentor: Dr. Steve Ferraro.
DEFINITIONSDEFINITIONS
““Final ecosystem services are the Final ecosystem services are the components of nature, directly components of nature, directly enjoyed, consumed or used to enjoyed, consumed or used to yield human well being”yield human well being”
Boyd & Banzhaf, Boyd & Banzhaf, 20072007
““Ecosystem services are the Ecosystem services are the benefits obtained by humans benefits obtained by humans from ecosystems”from ecosystems”
MEA, 2005MEA, 2005
Habitat Types Habitat Types Eelgrass- Unvegetated sediments- Oyster-Burrowing shrimp-SubtidalEelgrass- Unvegetated sediments- Oyster-Burrowing shrimp-Subtidal
Fisheries Fisheries ** Biodiversity Biodiversity As a support functionAs a support function
EstuariesEstuariesYaquina (OR) Humboldt Bay (CA)-Lagoon Pond Narragansett (MA)-Yaquina (OR) Humboldt Bay (CA)-Lagoon Pond Narragansett (MA)-
Nanatucket Bay (MA)-Weeks Bay (AL)-Tampa Bay (Fl)Nanatucket Bay (MA)-Weeks Bay (AL)-Tampa Bay (Fl)
Pacific oysterPacific oyster $32m $32m
Dungeness crabDungeness crab $97m$97m Salmon (Coho + Chinook) Salmon (Coho + Chinook) $16m$16m Bay clamsBay clams $91,976$91,976 Ghost shrimp Ghost shrimp
$71,585 $71,585 Mud Mud shrimp shrimp $3,300$3,300
Commercial:Commercial:
Commercial Landings (lb) x Commercial Landings (lb) x Ex-vessel (at the gate) value Ex-vessel (at the gate) value (per lb)= EV(per lb)= EV
RecreationalRecreational
Number of recreational trips xNumber of recreational trips x
Willingness to pay per trip= EVWillingness to pay per trip= EV
Benthic macrofauna Benthic macrofauna Nekton Nekton BirdsBirds
$
Nutrient cycling Nutrient cycling Nitrogen, CarbonNitrogen, Carbon
Ranking Ranking Species richness abundance Species richness abundance biomassbiomassRarity Rarity Aggregation Aggregation Fitness consequencesFitness consequencesProportional importanceProportional importance
Avoidance costAvoidance cost
*Fisheries data for Oregon and Washington from NOAA landings statistics 2006
Algae Algae Eelgrasses Eelgrasses kg.N.daykg.N.day-1 -1 removedremoved
Habitat Types Within The Yaquina EstuaryHabitat Types Within The Yaquina Estuary
Newport Newport OregonOregon
Average
Average
Poor
Poor
Good
Poor
Good
Good
Confidence
6,462,0402,841,533Total
Recreational406,283406,283Clams
Recreational23,83923,839Shrimp
Commercial/ocean1,736,986
Recreational1,289,563540,845Salmon
Contribution to ocean commercial168,000168,000
Recreational2,269,6601,134,856
Commercial7,4307,430Crab
Commercial560,280560,280Oyster
$$
Max ValueMin ValueFishery
Economic valuation of commercial and Economic valuation of commercial and recreational fisheries in the Yaquina estuaryrecreational fisheries in the Yaquina estuary
Total=24Total=24
99
88
22
55
Data SourcesData Sources
Commercial
Recreational
62%62%38%38%
EV = EVEV = EVhab1hab1x Ax A11 + EV + EVhab2hab2 x A x A22… EV… EVhabihabi x A x Aii
$2.5m
$4m
EV = EVEV = EVhab1hab1x Ax A11 + EV + EVhab2hab2 x A x A22… EV… EVhabihabi x A x Aii
PACIFIC OYSTER AQUACULTUREPACIFIC OYSTER AQUACULTURE
EV = (EVEV = (EVULHULHx Ax AULHULH) + (EV) + (EVEELEEL x A x AEELEEL)+ (EV)+ (EVSUBSUB x A x ASUBSUB))
EV=(EVEV=(EVULH ULH x Ax AULHULH)+(0.4 x EV)+(0.4 x EVULH ULH x Ax AEELEEL)+ (4 x EV)+ (4 x EVULHULH x A x ASUBSUB))
EV= EVEV= EVULHULH( A( AULHULH+ 0.4A+ 0.4AEELEEL+4A+4ASUBSUB))
EVEVULHULH= EV/( A= EV/( AULHULH+ 0.4A+ 0.4AEELEEL+4A+4ASUBSUB))
EV= $2,445,090EV= $2,445,090
Relative habitat values obtained from Relative habitat values obtained from graph using datathief softwaregraph using datathief software
Areas from GISAreas from GIS
Holsman, 2006Holsman, 2006
Dungeness CrabDungeness Crab
Recreational harvest Recreational harvest valuevalue
Burrowing shrimp species
0
50,000
100,000
150,000
200,000
250,000
300,000
Upo Neo Seagrass Mixed
$.ac
re-1
Mean value of shrimp in each habitat typeMean value of shrimp in each habitat type
Combined value for each fishery typeCombined value for each fishery type
Mean values for each habitat typeMean values for each habitat type
OysterOyster $3,200 acre$3,200 acre-1-1yy-1-1
SubtidalSubtidal $2,000 acre$2,000 acre-1-1yy-1-1
MixedMixed $1,600 acre-$1,600 acre-11yy-1-1
BareBare $1,600acre$1,600acre-1-1yy-1-1
Neo Neo $1,500acre$1,500acre-1-1yy-1-1
UpoUpo $1,400acre$1,400acre-1-1yy-1-1
EelgrassEelgrass $1,200acre$1,200acre-1-1yy-1-1
CAVEAT CAVEAT EMPTOREMPTOR•Choice of classification is arbitrary
EV = EVEV = EVhab1hab1x Ax A11 + EV + EVhab2hab2 x A x A22… EV… EVhabihabi x A x Aii
Assumes the total value of the estuary is the sum of its habitat typesAssumes the total value of the estuary is the sum of its habitat types
•Limited to 6 fisheriesLimited to 6 fisheries
•Harvest data for clams and shrimp and crab are Harvest data for clams and shrimp and crab are almost 30 years oldalmost 30 years old
•Assumptions about recreational catch per unit effort Assumptions about recreational catch per unit effort in the crab example doubled the value- NEED NEW in the crab example doubled the value- NEED NEW RESOURCE USE STUDIESRESOURCE USE STUDIES
•Intercomparability-different fisheriesIntercomparability-different fisheries
•Marginal value of habitatsMarginal value of habitats
•Ontogenetic shifts
•Benefit transfers used for everything except crab- Benefit transfers used for everything except crab- ZIP CODESZIP CODES
Mean values for each habitat typeMean values for each habitat type
OysterOyster $3,200 acre$3,200 acre-1-1yy-1-1
SubtidalSubtidal $2,000 acre$2,000 acre-1-1yy-1-1
MixedMixed $1,600 acre-$1,600 acre-11yy-1-1
BareBare $1,600acre$1,600acre-1-1yy-1-1
Neo Neo $1,500acre$1,500acre-1-1yy-1-1
UpoUpo $1,400acre$1,400acre-1-1yy-1-1
EelgrassEelgrass $1,200acre$1,200acre-1-1yy-1-1
•High resolution local High resolution local scalescale
Combined value for each fishery typeCombined value for each fishery type
Mean values for each habitat typeMean values for each habitat type
OysterOyster $3,200 acre$3,200 acre-1-1yy-1-1
SubtidalSubtidal $2,000 acre$2,000 acre-1-1yy-1-1
MixedMixed $1,600 acre-$1,600 acre-11yy-1-1
BareBare $1,600acre$1,600acre-1-1yy-1-1
Neo Neo $1,500acre$1,500acre-1-1yy-1-1
UpoUpo $1,400acre$1,400acre-1-1yy-1-1
EelgrassEelgrass $1,200acre$1,200acre-1-1yy-1-1
•High resolution local High resolution local scalescale
•Framework for Framework for application in many application in many
locationslocations
•High resolution local High resolution local scalescale
•Framework for Framework for application in many application in many
locationslocations
Combined value for each fishery typeCombined value for each fishery type
Mean values for each habitat typeMean values for each habitat type
OysterOyster $3,200 acre$3,200 acre-1-1yy-1-1
SubtidalSubtidal $2,000 acre$2,000 acre-1-1yy-1-1
MixedMixed $1,600 acre-$1,600 acre-11yy-1-1
BareBare $1,600acre$1,600acre-1-1yy-1-1
Neo Neo $1,500acre$1,500acre-1-1yy-1-1
UpoUpo $1,400acre$1,400acre-1-1yy-1-1
EelgrassEelgrass $1,200acre$1,200acre-1-1yy-1-1
•High resolution local High resolution local scalescale
•Framework for Framework for application in many application in many
locationslocations
•User friendly tool for User friendly tool for decision makingdecision making
•High resolution local High resolution local scalescale
•Framework for Framework for application in many application in many
locationslocations
•User friendly tool for User friendly tool for decision makingdecision making