15
DESIGNING NON- MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental Science

DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

  • Upload
    others

  • View
    5

  • Download
    0

Embed Size (px)

Citation preview

Page 1: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

DESIGNING NON-

MONETARY BENEFIT

INDICATORS THAT REFLECT USE AND PREFERENCES

Lisa A. Wainger

University of

Maryland Center for

Environmental

Science

Page 2: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Alternative Ecosystem Service Metrics

1. Management

Activity

2. Ecological Outcomes

3. Ecosystem Services

4. Social Benefits

Bridging Indicators Benefit Relevant Indicators

Monetary ValuesOUTPUTS

Increasing Information to Inform Tradeoffs

Page 3: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Benefit Relevant Categories

1. Quality is sufficient Beach is wide enough for recreation

2. Complements - Capital and labor available Boat ramps make boating possible

3. Demand - Users or beneficiaries present / possible # Houses protected (not already protected by seawall)

4. Reliability of the future stream of services Adjacent land is protected

5. Scarcity and substitutability Conservation Priority / no alternative restoration sites

Page 4: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Property ProtectionService Indicator Example

Bridge support

Value of time saved

(?)

Change in wave height at bridge

Reduced days of bridge closure

(? days / yr)

Commuting time saved

(4,000 hr/day)

Page 5: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Case Study - Mining Effects on AnglingEstimating Demand in the Absence of Use Data

Page 6: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Fishing Days Demanded by Origin (DDO)

Urban days demanded Rural days demanded

= Population ∙ Participation Rates (by demographic

segment) ∙ Days per Participant (by urban/rural)

Page 7: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Case Study – Estimate Spatial DistributionAngler Willingness to Travel

Urban Rural

USFS National Visitor Use Monitoring data

Page 8: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Spatial Distribution of Freshwater Fishing Days Demanded (DD) for Rural and Urban Anglers

Rural

Urban

Page 9: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Estimated Days Demanded by Study Area Watershed

Page 10: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Combining Indicators

Page 11: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Multivariate Statistics to Combine IndicatorsDistance Metrics

Initial State

Future State

Ideal State

Anti-Ideal State

Management Effectiveness

Page 12: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Quality Mapping Wildlife Viewing Service

Connectivity-Green Infrastructure Corridor

Rarity- # Rare Plants; - Only park occurrence

Attractiveness-Vegetation Diversity-Miles of Stream Adjacent to Trail

0

1

0

1 - 2

3 - 4

5 - 6

0

0.01 - 0.03

0.04 - 0.06

0.07 - 0.14

0.15 - 0.34

Gower DistanceMetric

Scarcity Metric

0.00 - 0.11

0.12 - 0.21

0.22 - 0.32

0.33 - 0.42

0.43 - 0.53

Page 13: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Outcomes

Page 14: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Key OutcomeDifferent Priorities with Non-monetary Metrics

0

5

10

15

20

25

30

35

40

Site 1 Site 3

Eco

no

mic

Be

ne

fit

Ind

ex

Non-MonetizedBenefitsMonetizedBenefits

urban

- Property protection- Recreation

rural

- Existence- Bequest

Page 15: DESIGNING NON- MONETARY BENEFIT INDICATORS THAT …...DESIGNING NON-MONETARY BENEFIT INDICATORS THAT REFLECT USE AND PREFERENCES Lisa A. Wainger University of Maryland Center for Environmental

Conclusions

Potential benefits are often reflected by the relative scarcity of the ecosytem good or service

Use BRIs to:

Demonstrate a service is possible

Characterize the scarcity

Benefit relevant indicators provide context for ecological indicators

Suggest what people might be willing to pay for, given their behavior within and outside of markets