Applying Principles from Economics to Improve the Transfer of Ecological Estimates A Case Study in Habitat-Fisheries Ecosystem Services Melissa Errend1,2, Ted DeWitt2 and Jessica Moon3 1.M.S. Candidate, Marine Resource Management, Oregon State University 2. U.S. EPA, NHEERL, Western Ecology Division, Newport, OR 3. ORISE Postdoctoral Fellow, In residence at: U.S. EPA, NHEERL, Western Ecology Division, Newport, OR Ecosystem services are the components of nature humans use and enjoy Daily et al. 2009 Key in Ecosystem-Based Management frameworks: Holistic consideration of market and nonmarket services and the importance of ecological systems that produce them 2 What is a Transfer? Benefit Transfer vs. Ecological Estimate Transfer Study site $ Policy site ? Our research concerns the transfer of ecological estimates in ecosystem service research and valuation 3 Example:“The Value of the World’s Ecosystems and Natural Capital” Costanza et al. (1997) utilized benefit transfers and ecological transfers in their study 10 estimates of primary production in U.S. Estuaries… Ten estimates of estuarine primary production were averaged as a global estimate NOAA (2013) Ecological transfers have lacked transparency and consistent evaluation 4 Improving the transparency and assessment of ecological transfers Study Objective: • Benefit transfer frameworks Ecological transfer framework • Ecological transfer framework Case studies in habitat-fisheries studies. Talk Outline: 1. Examples of transfers in habitat-fisheries studies 2. Sources of transfer error: Context dissimilarity 3. Defining context 4. Preliminary results: Investigating context differences 5 Point Estimate Transfers in Habitat-Fisheries Studies 1. Parameters: e.g., Natural mortality rate, Primary production rate 2. Services Production: e.g., Fish production/unit area, Habitat type 6 What can we learn from benefit transfer? Variability in estimates between primary studies is due to:1 1. Primary Study Error Due to measurement or estimation variance 2. Site Correspondence Error Due to differences in context 7 1 Rosenberger and Stanley (2006) Generalization Error What can we learn from benefit transfer? Context Similarity Policy sites Study site Generalization error is inversely related to context similarity2 8 2 Rosenberger and Phipps (2007) But…What is Context? MEOW Provinces MEOW Ecoregions Large Marine Ecosystem (LME) Classification Australian Seascape Classification Classifications are not based ecosystem services, instead mostly on biophysical and structural elements 9 What is Context? Contextual Dimensions: Descriptors for differences in context which affect ecological structure, process & function Spatial: Area,Volume, Scale, Grain, Extent, Density Geographic: Location, Latitude, Longitude, Altitude, Depth Temporal: Period, Frequency, Scale Ecological & Biophysical: Disturbance regime, Phylogeny, Guild, Community, Temperature, Climate, Salinity 10 How can we explore the variability of ecological estimates across context dimensions? Case Study: Benthic Microalgal Production Estimates Context dimensions reported: Depth, latitude and location 11 Metadata from Cahoon (1999) StDev of Benthic Production Estimates (g C · m-2 · yr-1) Global Variability in Annual Benthic Production Rates: Depth 300 250 200 150 100 50 0 0 5 10 15 20 25 30 35 Difference in Depth (m) On a global scale, estimates at the same depth are roughly just as variable as estimates from shallower or deeper locations 40 StDev of Benthic Production Estimates (g C · m-2 · yr-1) Global Variability in Annual Benthic Production Rates: Absolute Latitude 300 250 200 150 100 50 0 0 10 20 30 40 Difference in Absolute Latitude (°) As you compare estimates from locations that are farther away, variability increases, therefore transfer reliability decreases 50 StDev of Benthic Production Estimates (g C · m-2 · yr-1) Global Variability in Annual Benthic Production Rates: Geographic location 300 250 200 150 100 50 0 0 5,000 10,000 15,000 20,000 25,000 30,000 Difference in Distance (km) As you compare estimates from locations that are farther away, variability increases, therefore confidence in transfers decreases Conclusions • Transparency and assessment of ecological transfers is needed • Empirical variograms can help illustrate trends along context dimensions • Next Steps: Multi-metric analyses and comparison of classification schemes 15 Questions? 16 17 18