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Use of Spatial Climate Data Sets in an Optimum Species Selection System for the United States and China. Matt Doggett Christopher Daly & David Hannaway Spatial Climate Analysis Service Oregon State University. 13 th AMS Conference on Applied Climatology, May 2002. Overview. Problem

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slide1

Use of Spatial Climate Data Sets in an Optimum Species Selection System for the United States and China

Matt Doggett

Christopher Daly & David Hannaway

Spatial Climate Analysis Service

Oregon State University

13th AMS Conference on Applied Climatology, May 2002

overview
Overview
  • Problem
  • Solution
  • Implementing the solution
problem
Problem
  • Optimum vegetation species selection
    • climate conditions
    • soils conditions
  • Geographically separated researchers
    • Universities nationwide
    • International
problem1
How is species adaptability related to environmental parameters?

Can we introduce suitable vegetation species into new regions with similar characteristics?

How do we facilitate sharing of information?

How can we put tools into the hands of the researchers?

Problem
problem2
Problem

tmax

ppt

tmin

drain

salt

pH

solution environmental data
Solution – Environmental Data
  • Climate – PRISM
    • July Max Temp
    • Jan Min Temp
    • Annual Precip
  • Soils
    • Salinity
    • pH
    • Drainage
solution geographic info system gis
Solution – Geographic Info. System (GIS)
  • Analyze spatial relationships
  • Grid layers
  • Grid arithmetic
  • Allows researcher to manipulate the data
  • Refine the modeling parameters
solution communication
Solution – Communication
  • Internet
    • Web browser
    • Web server
  • Internet Map Server
    • Provides GIS-like functionality to investigators in a familiar web-based application
    • Facilitates sharing of information
solution communication1

CLIENTS

DATA

SERVER

tmax

Map

Server

Web Browser

ppt

tmin

pH

Web Browser

salt

Web

Server

drain

Web Browser

Solution – Communication

Internet

speciesA

GIS

speciesB

speciesC

internet map server
Internet Map Server

http://mistral.oce.orst.edu/forages/

  • Public access
    • Read only
  • Private access
    • Password required
    • Dynamic modeling of species adaptations
slide11
Features: Cities, geopolitical, rivers, roads, etc.

Raster:

Climate elements by month

Soil grids

Adaptation:

Tall Fescue, Orchardgrass, Rye grass

Map Features

Soil Layers

PRISM Layers

Adaptation

Maps

  • Map services
    • Contiguous US China
  • Toolbar
    • Zoom/Pan, Identify, select, Query, etc.
run the suitability model
Run the Suitability Model
  • Expressed as a range of valid values for each adaptation classification
    • Well, moderate, marginal
  • Simple rules-based logic
  • Can include/exclude parameters

MaxT = July Maximum Temperature

MinT = January Minimum Temperature

PPT = Mean Annual Precipitation

pH = soil pH

Salt = soil salinity

Drain = soil drainage characteristic

slide14
Map updates to show regions of favorable and unfavorable adaptation based on inputs to the model.
future
Future
  • Graphics-based
  • Different functions
  • More Species types
  • Additional countries
  • More parameters in the model
questions

Questions

Matt Doggett

mdoggett@coas.oregonstate.edu

http://mistral.oce.orst.edu/forages/