Envision Flow of Execution. ENVISION – Triad of Relationships. Goals. Actors. Policies. Values. Intentions. Economic Services Ecosystem Services Socio-cultural Services. Provide a common frame of reference for actors, policies and landscape productions. Landscapes. - PowerPoint PPT Presentation
Envision Flow of Execution Plug-ins Foreach year Run Each Pre-year Autonom ousProcess Apply any Scheduled Policies Run ActorLoop Run Each Post-year Autonom ousProcess Com pute Landscape Scarcity M etrics Using the Evaluative M odels CollectData EM Run() Com putes Landscape Scarcity (-3 to +3)m etrics APRun() APRun() EM InitRun() APInitRun() ActorLoop Foreach Actor Foreach ActorIDU Find RelevantPolicies: Identify all policies satisfying the Site Attribute constraint Score RelevantPolicies: Com pute Altruistic, Self Interested vectors; score policy based on vectors Selectand Apply Policy: Probabilistically select Policy to apply based on scores NextActorIDU NextActor NextYear Policy Database LulcTree Xm l File IDU ShapeFile Scenario XM LFile INI File ENVISION – Flow Chart EM Init() APInit() Startup Load INI file Load Coverages Load Policies Initialize Actor(s) Initialize each M odel and Autonom ousProcess Initialize Data Collection System Starta Run SetScenario Variables Initialize each Eval M odel and Autonom ousProcess CollectStartofRun Data Startannual loop
Transcript
Envision Flow of Execution
Plug-ins
For each year
Run Each Pre-year Autonomous Process
Apply any Scheduled Policies
Run Actor Loop
Run Each Post-year Autonomous Process
Compute Landscape Scarcity Metrics
Using the Evaluative Models
Collect Data
EMRun() Computes Landscape Scarcity (-3 to +3) metrics
APRun()
APRun()
EMInitRun()
APInitRun()
Actor Loop
For each Actor
For each Actor IDU
Find Relevant Policies: Identify all policies satisfying the Site
Attribute constraint
Score Relevant Policies: Compute Altruistic, Self
Interested vectors; score policy based on
vectors
Select and Apply Policy: Probabilistically select
Policy to apply based on scores
Next Actor IDU
Next Actor
Next Year
Policy Database
LulcTree Xml File
IDU ShapeFile
Scenario XML File
INI File
ENVISION – Flow Chart
EMInit()
APInit()
Startup Load INI file Load Coverages Load Policies Initialize Actor(s) Initialize each Model and
Autonomous Process Initialize Data Collection System
Start a Run Set Scenario Variables Initialize each Eval Model and
Autonomous Process Collect Start of Run Data Start annual loop
ENVISION – Triad of Relationships
Polic
iesInt
entio
nsActors
Values
LandscapesMetrics of Production
Provide a common frame of referencefor actors, policies and landscape productions
Landscape policies are decisions or plans of action for accomplishing desired outcomes.
from:• Lackey, R.T. 2006. Axioms of ecological policy.
Fisheries. 31(6): 286-290.
Policies in ENVISION
• Primary Characteristics:– Applicable Site Attributes/Constraints (Spatial Query)– Effectiveness of the Policy (determined by evaluative models)– Outcomes (possible multiple) associated with the selection and
application of the Policy
• Example: [Purchase conservations easement to allow revegetation of degraded riparian areas] in [areas with no built structures and high channel migration capacity] when [native fish habitat becomes scarce]
Policies define decisions actors can make. They translate into “outcomes” – changes to the underlying IDU representation, when an actor choses to “adopt” a policy• Policies are the primary way to represent anthropogenic
decision-making processes as a driver of landscape change.
Policies consist of:• Some Basic Attributes Name, is it mandatory, persistent, exclusive…
• Site Constraints - Spatial Queries that specify where policies can be applied.
• Resource Constraints - Sets of statements limiting global policy use
• Outcomes –what happens when a policy is adopted, expressed in terms of changes to the IDU representation, i.e. updating the IDU map throughout a scenario run
• Scores and Preferences – biases the adoption rates of policies based on spatial information, scenarios
• Represented with XML, editors built into Envision
BasicProperties…
Site Constraintsspecify where policies can be applied
BasicProperties…
Spatial Query
Query Builder
Resource Constraintsspecify maximum application rates, resource limits on policy use.
BasicProperties…
Site Constraints…Resource constraints
Contributions from this policy
Outcomesspecify what happens when a policy is adopted.
BasicProperties…
Site Constraints…
Global Constraints…
Outcome specification – Field::Value pairs (or
spatial operators)
Scoresspecify policy intentions, scoring modifications when certain conditions are met
BasicProperties…
Site Constraints…
Global Constraints…
Outcomes… Scores represent policy intentions.
Modifiers adjust scores up or down for special circumstances.
Actors in Envision• Actors are entities that make decisions about landscape
change• Any number of actors can be defined ( 0-N)• Actors can be defined in terms of
– A set of IDU attributes (Spatial Query)– Prescribed areas on the landscape– Randomly
• Each IDU is controlled by at most one Actor• An Actor can choose at most one policy per decision• Actors make choices at some “Decision Frequency”
Actors in Envision (continued)
• Actors have values that influence their decision-making behaviors. These values reflect landscape productions
Actors make choices about landscape management by selecting policies based on a weighted combination of: Internal Values relative to Policy Intentions
Landscape Feedbacks/Emerging Scarcities (dynamically generated during a run)
A “Utility” function
Global Policy Preferences (defined by scenario)
ENVISION Actor Properties Property Meaning EnvisionReactive Responds to environment Yes
Autonomous Controls own actions Yes
Social Interact with other actors Sort of
Goal-oriented More than responsive to environment Yes
