1 “science, decision support models and ecosystem attribute valuation: an application to the san...

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1 “Science, Decision Support Models and Ecosystem Attribute Valuation: An Application to the San Pedro River, Arizona and Rio Grande, New Mexico” David Brookshire (UNM) David Goodrich (USDA-ARS) Julie Stromberg (ASU) Jennifer Thacher (UNM) Arriana Brand (USGS) Craig Broadbent (IWU) Mark Dixon (USD) Karl Benedict (UNM) Kevin Lansey (UA) Molly McIntosh (MMC-LLC) Steve Stewart (SAHRA) Prepared for: “Challenges in Integrating (Hydrologic) Science into Urban+ Decision Making” (April 29 – May 1, 2013, Tucson, AZ). Includes Economists, Biologist, Ecologist, Ornithologist, Hydrologist, Facilitator, Geospatial Engineer Funded by U.S. EPA Environmental Protection Agency (Star grant program), in part by SAHRA (Sustainability of semi-Arid Hydrology and Riparian Area), and USGS through SILPE (Science Impact Laboratory for Policy and Economics—UNM)

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1

“Science, Decision Support Models and Ecosystem Attribute Valuation: An Application to the San Pedro

River, Arizona and Rio Grande, New Mexico”

David Brookshire (UNM)David Goodrich (USDA-ARS)

Julie Stromberg (ASU) Jennifer Thacher (UNM)Arriana Brand (USGS) Craig Broadbent (IWU)

Mark Dixon (USD) Karl Benedict (UNM)

Kevin Lansey (UA)

Molly McIntosh (MMC-LLC) Steve Stewart (SAHRA)

• Prepared for: “Challenges in Integrating (Hydrologic) Science into Urban+ Decision Making”   (April  29  – May 1, 2013, Tucson, AZ).

Includes Economists, Biologist, Ecologist, Ornithologist, Hydrologist, Facilitator, Geospatial Engineer

Funded by U.S. EPA Environmental Protection Agency (Star grant program), in part by SAHRA (Sustainability of semi-Arid Hydrology and Riparian Area), and USGS through SILPE (Science Impact Laboratory for Policy and Economics—UNM)

EPA

San Pedro Riparian National Conservation Area (SPRNCA) - One of the Last Great Places On Earth

(The Nature Conservancy)• SPRNCA formed Nov 18th 1988

• Cattle removal began in 1988

• High degree of connectivity of surface and groundwater systems

• Flows north from Cananea, Mexico to the Gila River in Arizona– ~40 miles in length– ~56,000 Acres

• A semi-arid flyway – 412 Bird species, with 200+,

migrants– One of the most ecologically

diverse areas in the world

• Riparian vegetation consists of – Cottonwood, Salt Cedar– Mesquite, River Grasses 3

4

Restoration: Effects of Cattle Removal in the SPRNCA

1984

1998

View from Hereford Bridge

• Following cattle removal from SPRNCA in 1988…• Expansion of

herbaceous riparian vegetation

• Channel narrowing & stabilization

• Restoration occurred

Photos courtesy of BLM-Files

But No Status Quo: Beyond Restoration To Preservation, the Need for a Decision Support

System for Adaptive Management

Change in aquifer storage– Anthropogenic

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-18000

-16000

-14000

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-10000

-8000

-6000

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0

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2003 2017 2030 2044Year

Acre-feet/Yr

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10000

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20000

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30000

35000

2003 2017 2030 2044Year

Acre-feet/Yr

Change in Consumptive Use– Anthropogenic

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Water Polices are Available for the San Pedro to bring in

Additional Water?• INFRASTRUCTURE CHANGES

• location of subdivisions and groundwater wells• recharge basins

• WATER AUGMENTATION• increase the amount of water in the basin by piping it in from

other regions

• WATER CONSERVATION/PRICING• decrease the consumption of water in the region

• What are the benefits and costs of these programs?• Calculating the costs is relatively straightforward• But what about the benefits of ecosystem services?

7

Interested in a Tool for Finding the Balance: Beyond Restoration

1. How to go about an integrated science, and economics framework to find the balance?

Meeting HumanNeeds

MeetingEcosystem

Needs

San Pedro SubdivisionsSan Pedro Riparian Area

Purpose of San Pedro DSS:

to evaluate the benefits and costs of conservation, augmentation, and recharge alternatives (including non-market riparian values)

Incorporates multiple factors:USGS groundwater model Surface water supplyGroundwater storageResidential/commercial water uses

(infrastructure, well location)Simulations up to 50 years

Can vary (e.g.): populationslocation of recharge basinlocation of future wells

Generates alternative futures:BUT-Does not provide or

incorporate benefits of ecosystem attributes

THUS-tradeoffs identified are incomplete

DSS ToolDSS

Develop ScenariosAnthropogenic

Climatic

ChangesHydrology

Component

ChangesRiparian

Component

ChangesAvian

Component

Survey(Education)

Ecosystem ServicesDemandCurves

DSS(current

conditions)

EcosystemValuation

Component(Attributes)

1. Surface Water2. Birds3. Vegetation4. Cost

Characterization of an Ecosystem

1. Components2. Processes3. Outputs

Linking Science and Economics: A Foundation for Ecosystem Services

Valuation

IntegrateValues

Into DSS

Physical

SciencePlant

ScienceAvian

Science

Modeling

Science

Scenario &

Social Science

Abiotic, Biotic,

Geography & Remote

Sensing Science

Science Based Definitions and Ecosystem Attributes

Valuation studies are typically not anchored in an integrated science models:

• What is needed:– Walk through the forest - what do you know about it?

• The forest is pretty etc, but doubtful one knows the mix of vegetation, birds, groundwater levels etc

• Without this information cannot decide what you prefer from one area to another

– What is needed is science driven ecosystem attribute endpoint “bundles” describing ecosystem services

• With the drivers of change clearly defined,• Thus defining change in the system (marginal change of attributes)

10

Characterization of an Ecosystem

1. Components2. Processes3. Outputs

What Does Economics Require for Valuing Ecosystem Services ?

(3 Elements)

1. Ecosystem components of a “Place”2. Ecosystem process and functions

• Biological, chemical, and physical interactions between ecosystem components of a “place”:

3. Ecological endpoints of a “place” – changes in these are necessary descriptors of the Ecosystem Attribute “bundles” as attributes for Valuation–

• These are directly related to human welfare measure• Water flows, vegetation mix and abundance, bird

population, abundance and density• There are things your neighbor would understand!11

12

Ground Water Futures (GWF)• GWF1: 0.5 m uniform decline in ground water table• GWF2: 1 m uniform decline in ground water table• GWF3: 0.5 m uniform increase in ground water table

• GWF4: Continued and increased agricultural pumping near Palominas; new developments in unincorporated areas of Palominas and Hereford near SPRNCA

• GWF5: Increasing cone of depression in Sierra Vista, Ft. Huachuca, and Huachuca City with impacts toward the lower Babocomari and northern SPRNCA

• GWF6: Large increases in ground water levels due to recharge and conservation efforts in Sierra Vista and Bisbee

• GWF7: Combined from scenarios 4 & 5, representing effects of both agricultural pumping in the south and increasing cone of depression

• GWF8: Low extreme-river essentially dries up• GWF9: High extreme-river essentially has surface flows throughout

SPRNCA

SCENARIOS

Alternative Groundwater Scenarios

S8 S9

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3. DSS(current

conditions)

4. ChangesHydrology

Component

Riparian Model

• The model places reaches of the river into one of three condition classes:– Based on 9 bio-indicators (e.g. types of plants)

which are sensitive to changes in hydrology.

• Each current condition class (e.g. situation today) is reflective of different levels of ecosystem functional capacity.

• Model is inside DSS and is used it to track changes in the abundance of each class over time, based upon ground water level changes:

– Dry : 73% Tamarisk, 10% Cottonwood-Willow

– Intermediate: 21% Tamarisk, 63% Cottonwood-Willow

– Wet: No Tamarisk, 89% Cottonwood-Willow14

5. ChangesRiparian

Component

Tamarisk

Avian Model: As riparian changes occur, so goes

avian changes

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6. ChangesAvian

Component

5. ChangesRiparian

Component

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Migrating Bird Abundance Changes

Tota

l Ab

un

da

nce

(n

um

ber

of

bir

ds

)

S3 Current S1 S2

Declining Groundwater by Scenario

17000

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21000

23000

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Condition Class

CC2CC1

CC3

25000

7. EcosystemValuation

Component(Attributes)

Placing Values on Ecosystem

Services

• Development– 1963 NRJ Robert Davis (air quality – USEPA—ORD)– Embodied now in various U.S. Fed. Docs

• Contingent Valuation Model (CVM)– Asks individuals their Willingness To Pay (WTP) for a

single ecosystem attribute (e.g. greater number of birds)

• Choice Modeling (CM)– Asks individuals to choose a specific alternative from a

set of Ecosystem Attribute Bundles (e.g. birds, vegetation, surface water)

17

7. EcosystemValuationComponent(Attributes)• Surface • Water• Birds• Veg.

Designing the Surveys: Focus Groups

• Focus groups have been conducted using the Choice Experiment (CE) San Pedro Survey

• Public Feedback– Wanted more information

• Created “Drill Downs”– Changes in presentation of

visual material– Indicated what information

was most useful • Science Feedback

– Reviewed survey for technical accuracy

18

Marginal “Dollar” Values and their Use

• What kind of Marginal Dollar Values are generated from Contingent Valuation and Choice Modeling for Ecosystem Endpoints? – Miles of Visibility – Changes in Endangered Species Populations

• In this study -- Obtain Marginal Dollar Values (values for incremental changes) for:– Miles of surface water– Breeding birds by nest heights– Breeding birds by surface water dependency– Spring migratory birds– Vegetation diversity

19

San Pedro/Rio Grande Survey

• Survey includes:– Introduction and

discussion of riparian zones/focus on groundwater

– Background about the San Pedro/Rio Grande

– Essentially sets up market information

– Development of Ecosystem Services Endpoint Attribute Bundles • Water, Vegetation, and

Birds20

7. EcosystemValuationComponent(Attributes)• Surface • Water• Birds• Veg.

Current Condition

Contingent ValuationExample

AlternateCondition - 1

AlternateCondition - 2

Ask: How much areyou willing to pay for Alt. #1 over CC?

How much for Alt. #2 over CC?

How much for Alt. #2 over Alt. #1 ?

Choice Modeling Example - Riparian Preservation

• Decisions points: 1) do nothing 2) maintain CC 3) improve CC– different construction/conservation measures with each decision

Current Condition

AlternateCondition - 1

AlternateCondition - 2

Attributes RiparianVegetation

% Time SWIs Present

Bird Type/Pop.Attributes

< 60%

> 60%< 95%

> 95%

Bu

nd

le #

1B

un

dle

#2

Bu

nd

le #

3

• Attributes across bundles are NOT independent• Need science ( ) to describe dependence of attributes in a bundle

SPRNCA WTP Estimates• WTP to move from the

Current Conditions to S6– Vegetation is the significant

variable and the most important variable

– Large inc. in recharge, sig. inc. in surface flows

• WTP to avoid moving from the Current Conditions to S4– Water is the significant

variable and the bundle of ecosystem services is significant

– Involved continual pumping thus degradation

 WTP 

IncrementsWTP Avoid Decrements

Bundle -$10.94 $94.92 **

Bird -$41.44 $31.89 Veg $99.54 ** -$240.79Water $57.60 * $72.87 ***, ** denotes significant at the 10% and 5% levels

S8 S9

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Develop ScenariosAnthropogenic

Climatic

ChangesHydrology

Component

ChangesRiparian

Component

ChangesAvian

Component

Survey(Education)

Ecosystem ServicesDemandCurves

DSS(current

conditions)

EcosystemValuation

Component(Attributes)

1. Surface Water2. Birds3. Vegetation4. Cost

Characterization of an Ecosystem

1. Components2. Processes3. Outputs

The Scientific Foundation of Ecosystem Services Valuation

IntegrateValues

Into DSS

Physical

SciencePlant

ScienceAvian

Science

Modeling

Science

Scenario &

Social Science

Abiotic, Biotic,

Geography & Remote

Sensing Science

25

Horizontal: Transferability science and valuation within a region (e.g. SW) (SP/RG//Verde/Salt/?) (continuing)

(SPRNCA)

(MRG)

• A goal is to have a menu of transfer functions for a region

Why– original studies for ALL areas is to expensive

• Benefit Transfers: Incremental monetary value of an ecosystem endpoint transferred another site

• Science Transfers: The relative science information between the “study and transfer sites” should be “similar”

What we did: • Developed Science for the Rio Grande

based upon San Pedro• Developed a Choice / Contingent

Valuation Survey– San Pedro– Rio Grande

• Compare/Calibrate the Marginal Dollar Values for Ecosystem Attributes

Across Sites within a Region: Using Place Based Science and Valuations

26

San Pedro, AZ Rio Grande, NMGila River, NMSalt River, AZ

Steps:• Calibrate across the original data sets from San Pedro and Grande• • Extend San Pedro efforts to upland areas

• Relate placed based science to:• Remote sensing information in Salt River and Gila• Within a representative ecosystem, we can use appropriate ecosystem function models• Relying upon remote sensing and GIS technologies

• Relate extent of the market for valuation transfer

We are discussing the following .

Landscape Conservation CooperativesSecretarial Order No. 3289 establishes Landscape Conservation Cooperatives, which are management-science partnerships that inform integrated resource-management actions across landscapes (February 22, 2010).

?

Defining the Region of Analysis (for science and valuation):

Extending this work into the Lower Mississippi Valley

28

?Everglades

Hawaii

SPRNCA, AZ

Rio Grande, NM

Gila River, NM

Salt River, AZ

?

?Hypothesis: A national map might be a composite of regional studies, based upon place based science and valuations

Thank You

29

THANK YOU