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Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-Human Systems in the Big Thicket and Beyond

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Page 1: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Michael Monticino,

University of North Texas, Institute of Applied Sciences(NSF Biocomplexity in the Environment CNH BCS-0216722)

Modeling Coupled Natural-Human Systems in the Big

Thicket and Beyond

Page 2: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Overview

• Context• Objectives • Study Sites• Models• BT Land-Use Values • Applications

Page 3: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Context

• Human social system and ecosystem dynamics traditionally treated as if they progressed independently– Ecologists studied pristine areas to determine LC succession

dynamics– Sociologists studied population shifts from rural to urban LU as

driven almost exclusively by socio-economic forces

• Now accepted that social systems and ecosystems must be coupled to be fully understood – Moved beyond merely descriptive studies of the mutual

interactions– Advances in complex systems modeling and increased

computational capacity make possible substantive investigations

Page 4: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Context

• Dynamics of LU change occur within context of individual and cultural value systems

• LU practices are part of people’s ethnic identity– Hunting, fishing, and medicine gathering are part of collective identities of

indigenous peoples– Small-scale horse and cattle ranches in Texas are more attributable to identity

values than economic imperatives• Impact of values-driven LU/LC changes on ecosystems have a feedback

effect on social dynamics – Collective effects of values-driven decisions on one another and on the

landscape may frustrate the very values on which they are based

Human DecisionsHuman Decisions

Ecosystem EffectsEcosystem Effects

LU ChangeLU ChangeExternal FactorsExternal Factors

Page 5: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Project Objectives

• Gain insight into the role of cultural values in LU decisions• Study emergent dynamics of LU/LC change derived from

CNHS models – Informed through ethnographic methods– Identify essential trends and sensitivities of dynamics to cultural

values

• Models applied to study sites that vary along set of natural and social gradients – Identify general features of social-ecological LU/LC dynamics

• Provide stakeholders and policy makers with modeling tools to anticipate consequences of LU/LC decisions

Page 6: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Study Areas

• Elm Fork Trinity River Greenbelt Corridor, North Texas

• Big Thicket National Preserve, Southeast Texas

• Caparo Forest Reserve, West Venezuela

• Upper Botanamo River basin, East Venezuela

• Marina Baixa catchment, Alicante, Spain

Page 7: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Study Areas

• All sites characterized by accelerating LU/LC change– Similar

pressures on social systems and ecosystem services

Page 8: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Study Areas

• Sites lie at varying points along cultural, climatological, economic, and political gradients– Provide base points to synthesize effects of these

gradients on LU/LC change– Representative of social-ecological dynamics of

similar places around the world

wetPrecipitation

MB UBNT

dry

BT CF

developedEconomicdeveloping

BTMB NTUB/CF

developedPolitical-Legal Infrastructuredeveloping

UB/CF MB NT/BT

Cultural localcosmopolitan

MB NT BT UBCF

Page 9: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Model Structure

• Three main components– GIS-based development

potential map– Natural systems model– Multi-agent model

• MAM developed from focus group sessions, surveys and structured interviews– Values represented in

statistical decision analysis framework

Page 10: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Development Potential Map

• Scores the development suitability of each parcel of undeveloped land– Determines relative suitability of each

development type• Factors

– Distance to the nearest road (major or minor),

– Distance to infrastructure– Population density within a specified

radius around the parcel– Density of each development type within

a specified radius– Natural and mandated impediments

• Parameterized through historical LU data• Implemented for NT and BT areas

1988

1999

Page 11: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Coupled Models

• Natural system model represents land-cover transition, hydrological and wildlife habitat response– Emphasis in North Texas

on hydrology and municipal infrastructure demands

– Habitant focus in Big Thicket study

Page 12: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Coupled Models

• Human system based on multi-agent model– Captures essential

stakeholder interactions and decision processes

– Provides flexible structure for investigating growth management strategies and sensitivity of outcomes to variations in stakeholder values

Sell

Hold

Owners of Undeveloped

Land Protest/Not

Development Proposal

Residents

Regulatory Government

Agent

Elect

Government

Approve,Modify or

Deny

Economic Model (Land Price Trends)

Natural SystemModel: Flooding, Water Quality, Recreation,

Wildlife Metrics

Residential, Commercial, Industrial Developer

DevelopmentPotentialModel

Type of

Development

Proposal

Sell

Hold

Owners of Undeveloped

Land Protest/Not

Development Proposal

Residents

Regulatory Government

Agent

Elect

Government

Elect

Government

Approve,Modify or

Deny

Economic Model (Land Price Trends)

Natural SystemModel: Flooding, Water Quality, Recreation,

Wildlife Metrics

Residential, Commercial, Industrial Developer

DevelopmentPotentialModel

Type of

Development

Proposal

Page 13: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Multi-Agent Model

• Agents represent stakeholders influencing land-use decisions– Agents chose actions

that best conform to their values as modeled by multi-attribute utility functions

• Interactions and feedback– Between classes of

stakeholders, and between natural and human systems

– Natural system feedback can affect change in agent value structure

Scenario 1 Rank _______

Residential Setting: Dense tract home developments have been constructed in the area. Economic Property Value: Property values have decreased. Neighboring Landuse: The area has remained primarily residential with no commercial or industrial developments. Natural Setting: Within the vicinity there are several natural areas, such as park areas set aside by developers, with native trees and wildlife habitat. Government Regulation and Services: Green Valley has been incorporated as a separate municipality with some services (garbage, police and fire), low taxes, and some landuse zoning. Community Effort: Because of both actual and proposed changes in the area you have been become moderately active in community activities, this includes attending homeowner association meetings and regularly attending public meetings. This takes up about 4 hours of your time a month. Recreation Access: Development in the area has impaired access to the Greenbelt and limited the ability to hike, bike, and ride horses in the area.

NLNLTrTrWW UkUkUkU

Page 14: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Agents Classes and Types• Agent classes characterized by available actions and basis for selecting

actions. – Landowner: individual owners of large parcels of land suitable for

residential/commercial/ industrial development– Commercial Landowner: Organizations such as timber companies that

own large parcels of undeveloped land– Developer: Residential/commercial/industrial developers– Homeowner (citizen): Resident representatives that can protest

proposed developments and initiate changes in government– Government: Agents that have final regulatory control of development

decision– NGOs and NPS: Initiate and sustain protection of undeveloped land

and habitant• Agent types within a class characterized by different value structures that

potentially lead to different actions

Page 15: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Agents in Big Thicket

• Stakeholders surveyed – Timber companies– NGOs and NPS– Owners of 100 acres or greater

tracts of undeveloped land in Hardin County

• Objective was to elicit circumstances and values that might lead to LU/LC changes in region

• Responses validate anecdotal accounts obtained through separate interviews with local conservation activists and real estate agents

Page 16: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Agents in Big Thicket

• Timber Management– Temple Inland– Molpus Timber Management– Sustainable Forest Technologies– International Paper– Louisiana Pacific (did not participate)

• Trend towards smaller, more dispersed holdings

• Timber economic model primary driver in decisions

• View themselves as”better…neighbors than somebody that was selling land for real estate.”

• NPS and NGOs– National Park Service– The Nature Conservancy– BTA– The Conservation Fund

• Primary expressed concern is minimizing habitant fragmentation

• Interesting contrast with timber company representatives and landowners about pace of development threatening region

Page 17: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Landowners in Big Thicket

• Surveyed owners of 100 acres or greater tracts of undeveloped land in Hardin County– Sample represented 30% of

these landowners • Portion of survey focused on

what factors may influence landowners to sell their land for development

• Variety of uses– Primary residences, second

homes, hunting, timber harvesting, cattle ranching and investment

Page 18: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Landowners in Big Thicket

• Two broad groups of LU attitudes and values

– Those who express a deep attachment to land that they have lived on for a long time or that has been in their family for generations

– Those who value land primarily for its economic potential

• Wealth oriented landowner typically acquired land for timber harvesting or resell speculation

• Tradition oriented landowners tend to be older, having bought or inherited land decades ago

– Those who inherited their properties express hope of keeping land in the family.

– Common statement is “[land is] part of my heritage since way before the turn of the century. A homestead for future generations meant to be in the family”

Page 19: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Landowners in Big Thicket

• Many tradition-oriented landowners express genuine concern about preserving open spaces, wildlife habitat and landscape integrity– And yet, same people that would “love for

area to stay as is” also welcome convenience of new roads and stores and accompanying residential development

• Contradictory view appears to arise from resignation to perceived progress and pragmatism – “City people in rural areas are just part of

life”– “[development is better] than trailers sitting

around beautiful Thicket” – “people should be able to do what they

want with their property free from lots of government restrictions”

Page 20: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

BT Decision Flow

Government Agents

Timber Company

Landowner Agent

Development Preservation

Potential Map

Developer Agent

NPS

NGO

Homeowner Agents

Economic and Tax Model

Sell Hold

Buyer Category

Sell Hold

Buyer Category

Propose Purchase

Page 21: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Model Applications• Primary focus on effectiveness of growth

management strategies in slowing development• Creation of open-space preserves.

– Typically, land is purchased based on ecological concerns, or when land fortuitously becomes available

– Alternative is to also target land based on landowner values

– Leverage land-use values of neighboring landowners to effectively protect more land from development.

• Dispersed open-space strategy preserves more undeveloped land than a concentrated strategy

• Strategies that purchased parcels from tradition-oriented landowners were more effective in slowing development than purchasing from wealth-oriented landowners

– Utilization of human-value map• Key sensitivities of model

– Land-price assumptions– Landowner values – Spatial interactions between landowners

Page 22: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Model Applications – City of Denton

• High density, mixed-use development proposed on northeastern edge of Denton’s ETJ – Denton had choice of annexing area to

gain planning and zoning oversight or losing control of development on city’s northern boundary

– Residents feared higher taxes with little perceived benefit

– City officials countered that proposed development would lead to destruction of rural lifestyle residents believed they were protecting

• Worked with Denton to adapt model to demonstrate potential development patterns– Impact on area surrounding development– Impact on municipal services demand

Page 23: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

City of Denton Scenario

• Test parcel set to high density development compared to open-space preserve– 35 years out– Dynamics of future

development

Page 24: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Results

• Development of parcel had small effect when viewed across entire study area

• However parcel’s development has pronounced local effect– Significant

increased level of high-density development

Page 25: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-

Big Thicket Model

• Potential map, agent model and habitant model are completed– Performing sensitivity analysis– Integrating models

• Developing scenarios to study effects of LU trends on habitant

Page 26: Michael Monticino, University of North Texas, Institute of Applied Sciences (NSF Biocomplexity in the Environment CNH BCS-0216722) Modeling Coupled Natural-