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Forcing climatic factors Biodiversity & water quality Socio/Econ/Cult state Social perception | AQUATIC ECOSYSTEM SERVICES Methods (a) Original SAFER Methodologies.

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Presentation on theme: "Forcing climatic factors Biodiversity & water quality Socio/Econ/Cult state Social perception | AQUATIC ECOSYSTEM SERVICES Methods (a) Original SAFER Methodologies."— Presentation transcript:

1 Forcing climatic factors Biodiversity & water quality Socio/Econ/Cult state Social perception | AQUATIC ECOSYSTEM SERVICES Methods (a) Original SAFER Methodologies Schematic Climate, Limnological & Ecological history Socio/Econ/Cult history Methods (b) Prediction of impacts on Risk & Perception ecosystem Analysis Climatic projections Economic & land use scenarios Methods (c) PAST Human PRESENT FUTURE Occupation (2100)

2 Tier 1 Modeling (in general) “ Tier 1” models (vocabulary from the Natural Capital Group) are vastly simplified, first-approximation models (usually simple indices) characterizing water, ecosystem or socioeconomic states throughout an area (each would be mapped). – Example 1 (climate): A tier 1 climatic model would be the annual water yield for a land area, which is a function of precipitation and evapotranspiration – Example 2 (biodiversity): A tier 1 biodiversity model would be some combination of habitat quality and habitat rarity indices. – Example 3 (socioeconomic: A tier 1 tourism services model would be a map summarizing tourism opportunities along with accessibility and environmental attributes (i.e., some form of “potential tourism” index) Note: First, we may want to map simpler socioeconomic indices related to population, income, education, etc.—yes(??) Limitations: (1) Causes and effects are not connected; (2) Analysis typically only possible at the annual time scale, so shorter-term (e.g., seasonal) processes are averaged. Tier 1 modeling should be do-able as team science in the short term. For example, small student teams could easily GIS analyses for multiple sites.

3 Tier 2 Modeling (in general) “ Tier 2” models (vocabulary from the Natural Capital Group) are more details and capable of simulating distributed processes and mechanisms in physical, ecological and socioeconomic systems. – Example 1 (climate): A tier 2 climatic model would be a distributed parameter hydrologic model (e.g., SWAT, WEAP, VIC) – Example 2 (biodiversity): A tier 2 biodiversity model might involve might include a keystone species population model, or a model capable of addressing the food web and multiple populations – Example 3 (socioeconomic): A tier 2 tourism services might predict annual visitor-days or dollars based on environmental attributes, infrastructure, amenities, distance from population centers, and location relative to potential substitute sites. Limitations: Tier 2 models require substantially more input parameters than do Tier 1 models, and take longer to learn how to use effectively Tier 2 modeling will typically require prolonged efforts by graduate students, perhaps as key components of their dissertation work, and may be integrated later with comparable modeling studies by other students.

4 Methods (a)—SAFER Forcing climatic factors: – Map climate surfaces (temp, precip) – From climate surfaces and soil surveys, map water yield, Budyko dryness, and water retention indices Socio/Econ/Cult State – Map various socioeconomic indices (population density, land ownership, land use, etc.) Cultural/spiritual indices? Maybe deal with in terms of peoples’ perceptions? Biodiversity and water quality: – Map habitat quality (related to water quality), habitat rarity indices—is this feasible for all our sites? Identify correlations between various indices

5 Methods (c)—SAFER For 2030, 2050, 2100 – Generate forecasts of climate surfaces Using regional modeling products (if they exist) If not, how? Downscale available GCM outputs? – Use forecasts to generate new hydro/climate indices – Propose population and LULC scenarios – Generate habitat/ecosystem quality and rarity maps Quantify risk in terms of ecosystem-related indices changes in habitat quality and rarity maps


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