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Modeling the Delta Smelt Population of the San Francisco Estuary Wim Kimmerer Romberg Tiburon Center for Environmental Studies San Francisco State University

Modeling the Delta Smelt Population of the San Francisco … · 2016-10-19 · Delta Smelt Distribution in 1999 Data Source: 20 mm surveys ... – Entrainment (EWA) ... (Pelagic Organism

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Modeling the Delta Smelt Population

of the San Francisco Estuary

Wim KimmererRomberg Tiburon Center for Environmental Studies

San Francisco State University

Modeling Team

• Particle tracking model– Steve Monismith, Derek Fong, Jim Hench

• Matrix models– Bill Bennett

• Individual-based model– Kenny Rose– Wim Kimmerer– Post-doc to be named later

Topics to cover

• Some basic factoids about delta smelt• Current understanding• Recent concerns• The three models

World’s biggest delta smelt (Hypomesus transpacificus)

Delta Smelt

• Endemic, threatened species• Annual life cycle• Limited habitat

– Salinity from fresh to ~10– Close to the export pumps in the Delta

• Declining abundance

Fall MidwaterTrawl:90%

confidence limits of mean catch per trawl

Source: Kimmerer & Nobriga

IEP Newsletter

Abundance pattern of delta smelt

1970 1980 1990 2000

0.1

1

10

100

1000

Cat

ch p

er T

raw

l

YearA

bund

ance

Inde

x

Sudden public interest in estuarine foodwebs

Source:Mike Taugher, CC Times

J

F

AM

JJ

M

N

SA

O

D

Kodiak

20-mm

Midwater

Townet

Spawning;Temperature

Effects

Food limitation;Density dependence?

2-year-oldSpawners?

Life history and sampling

Delta Smelt Distribution in 1999

Data Source:20 mm surveys

Mid-May

Mid-July

A M J J A S O N D0

1

2

3

20

40

60

Wei

ghte

d M

ean

Sal

inity

MonthM

ean

Leng

th, m

m

Delta Smelt Distribution vs. Salinity

Data Source:IEP/DFG surveys

Delta smelt spawn in freshwater and after early summer are in

the Low-Salinity Zone

82

8384

8586

8788

8990

91

92

93

94

95

96

9798

9900

01

02

69

70

717273

75

7677

78

80

81

0 3 6 9 12 150

450

900

1350

Adu

lts

Juveniles

0 15 30 45 600

450

900

1350

1800

0 15 30 45 600

450

900

1350

1800

0 15 30 45 600

450

900

1350

1800

Juveniles

Adu

lts

Post-decline

Curved line suggests a limited carrying capacity

Source: Bennett 2005

Pre-decline

Potential Density Dependence

Spring Fall0

10

20

30

40

50

60

70N = 61

N = 153

Perc

ent o

f Ind

ivid

uals

Season

Toxic damage Undernourishment

Evidence of food limitation, not much

toxic damage(how much is too

much?)

Source: Bennett 2005

Food Shortages vs. Toxic Chemicals: 1999

Limnoithona spp.: Percent in plankton and in delta smelt diets

Zooplankton abundance:IEP Zooplankton Survey

(Low-Salinity Zone)

Diet data:Lott 1998

IEP Newsletter 11 (1):14-18M J J A S O N D

0

20

40

60

80

100

Diet: 1993-1996

1995

1994

19961993

Month

Per

cent

1975 1980 1985 1990 1995 200050

60

70

80

50

60

70

80

Leng

th, m

m

Year

Length distributions of delta smelt

Data Source:IEP/DFG surveys

Delta smelt have become ~10%

smaller

Fall Midwater Trawl SurveySept-Dec

San Francisco Bay StudyAug-May

Percent of population lost to export pumping during spring

1996 1998 2000 2002 20040

5

10

15

20

Ann

ual L

oss

(%)

Year

Source: DFG 20mm survey

Delta Smelt Loss Rates to Export Pumping

Environmental Water Account

EWA Expenditures: 2000 - 2004

Graph from Jerry Johns

Key questions

• Movement patterns– Entrainment (EWA)

• Probability of extinction– Management options– Uncontrolled factors

• Basic ecology (relevant to management)– Importance of density dependence– Importance of Age-1+ adults– Growth and survival

Why model?

• Figure out movement patterns– Particle tracking model

• Examine probability of extinction– Matrix models

• Investigate ecology– Individual-based model

Low High

Low

High Low

High

Interpretationand

Analysis

Indiv.-BasedModels

Particle-TrackingModels

Biological DetailSi

mpl

icity

and

Spe

ed

Spatial Detail

MatrixModels

Differences among models

Connections among models

Interactions among models

are implicit:Models are not

formally connected

External Data

Individual-basedmodels

Matrix models Particle-trackingmodels

Transition matrix

Vital Rates

Scen

arios

,

compa

rison

sVital

Rate

s,

Compa

rison

s

Entrainment losses

Scenarios to run

N

Suisun Bay

Pumping PlantsState Federal

Sacramento-San

JoaquinDelta

Napa River

NorthDelta

SouthDelta

South Suisun

North Suisun CentralDelta

Napa

Model Domains

PTM NodesIBM Regions

Particle-tracking model

• Based on DSM-2 hydrodynamic model– Calibrated for Delta– Fast– Separate PTM

• Suitable for early life stages• Large numbers of particles• Use observed spatial distributions

Particle-tracking model

• Conditions modeled:– Six water year types (examples)– Two barrier configurations– To VAMP or not– Alternative export management (EWA)

• Synthesis– Entrainment probabilities– Transition probabilities– Effect of alternative behaviors

Release point:Mossdale

Release point: Hood

Particle Tracking Results

LowProbability of entrainment

High

90-day runs: time series of particle fate

Q = 12

, X =

10

Q = 12, X = 6

Q = 21, X = 10

Q = 21, X = 6

0.00 0.25 0.50 0.75 1.000.00

0.25

0.50

0.75

1.000.00

0.25

0.50

0.75

1.00

Flow Export 12 10 12 6 12 2 38 10 120 10

Export Pumps

Rem

ain

in D

elta

Chipps Island

HoodParticle Tracking Results

Release point: Hood

Inflow, Export (cfs)

Q = 120, X = 10

Q = 120, X = 6Q = 38, X = 2

Q = 120 X = 2Q = 67, X = 2

0.00 0.25 0.50 0.75 1.000.00

0.25

0.50

0.75

1.000.00

0.25

0.50

0.75

1.00

Flow Export 12 10 12 6 12 2 38 10 120 10

Export Pumps

Rem

ain

in D

elta

Chipps Island

MossdaleParticle Tracking Results

Release point:Mossdale

Inflow, Export (cfs)

Matrix (stage-based) models

• Rapid computation• Uncertainty explicit• Examine sensitivity to parameters• Purposes:

– Extinction probability– Importance of age structure– Alternative management (as mortality)

Periodic Stage-Based with 1+ Adults

Spring Fall Winter

LateCohort

EarlyCohort

SmallLarvae

LargeLarvae

LargeJuveniles

SmallJuveniles

LargeAdults

SmallAdults

as11

as21 af21

as22

af11

af22

SmallLarvae

LargeLarvae

Following Spring

aw11

aw22

aw21aw12

Yr. 1+Adults

Yr. 1+Adults

Yr. 1+Adults

Yr. 1+Adults

af11 0 0

af21 af22 0

0 0 af33

aw11 aw12 0

aw21 aw22 aw23

aw31 0 0

as11 0 0

as21 as22 0

0 0 as33

• •

aw31aw23

as33 af331+

Adults

Age 0 Age 1+

-0.50

-0.25

0.00

0.25

0.50

Rat

e of

incr

ease

, rModel

Without Exports With Exports

Age 1+ Spawner and Export Effectson Population Growth

Parameters

Probability of 1+ adult surviving into summer

as33 = 0.95

Probability of 1+ adult surviving into winter

af33 = 0.80

Number of small adults surviving into spring

aw31 = 12 (approx. 1%)

Number of large larvae produced by 1+ adults

aw23 = fecundity/2 * 0.01 * 0.6 = 42

1+ are larger fish = higher survival

Less than ≈ 10% of population

Lab fecundity data

Individual-based model

• Tracks “representatives” through life cycle• Management interventions = mortality

– Not explicit– Burden is on investigator to supply mortality

• Alternative formulations– Density dependence– Importance of Age-1+

Individual-based modelSet up geometry

Initialize environment

Initialize population

Years

Determine hydrological year type

Spawning

Days

Individuals

Egg development, mortality

New individuals

GrowthMortality

Movement

HydrodynamicModel;

EnvironmentalConditionsLoop

Loop

Loop

Related Projects• Delta Smelt Foodweb (CALFED funded)

– Basis of the foodweb– Sources and processing of organic carbon

• Delta Smelt Monitoring (CALFED: submitted)– Histopathology (Food limitation, toxicity)– Growth rate, origin– Feeding (gut contents)

• POD (Pelagic Organism Decline)– Delta smelt abundance, distribution, entrainment– Copepod population dynamics– Clam salinity tolerance

• Ongoing studies– Delta smelt culture– X2 investigations

Schedule

Current status of delta smelt

Spring 2006 Hire post-doc

Fall 2006 Initial workshop – adjust scope

Fall 2006 CALFED Science Conference

2006 - 2007 Model development

Spring 2008 Complete model development

January 2009 Final reporting