TY - JOUR
T1 - SLEUTH Modeling Informed by Landscape Ecology Principles
T2 - Case Study Using Scenario-Based Planning in Sariyer, Istanbul, Turkey
AU - Akyol Alay, Meliz
AU - Tunçay, Hayriye Eşbah
AU - Clarke, Keith C.
N1 - Publisher Copyright:
© 2021 American Society of Civil Engineers.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Scenario-based land-use planning depends on choosing from among a range of inputs to a calibrated model to explore the corresponding range of future outputs and impacts - but how are these inputs chosen? This case study examined how a landscape ecology approach could better shape scenario development for a SLEUTH (slope, land use, exclusion, urban, transportation, and hillshade) model application toward achieving possibly more ecologically sustainable scenarios and, therefore, future landscapes. Our methodology relied on two main steps - developing landscape-ecology-led growth scenarios and using SLEUTH to model their impacts on urban growth and land-use change. As a case study, we applied the model to Sariyer, Istanbul, for the year 2045, where transportation infrastructure changes portend significant implications for the future landscape. Even though there are many works on urban growth in the international literature, there has been only limited investigation of the effects of urban transportation systems in developing nations and their implications for urban landscapes. This study's novelty lies in including a landscape ecology approach in the scenario development to enable better integration with modeling and the use of landscape metrics to modify the scenarios and interpret the model outcomes. Our research question is: can a joint approach of scenario development using landscape ecology principles (associated with landscape metrics) and SLEUTH modeling accurately forecast the impacts of landscape ecology and ecosystem services on human and urban systems? We conclude that a landscape ecology approach does help illuminate future urban-growth behavior led by transportation system development. Landscape ecology can be a medium through which the SLEUTH model can articulate more-comprehensive ecological planning related to the implications of different growth scenarios.
AB - Scenario-based land-use planning depends on choosing from among a range of inputs to a calibrated model to explore the corresponding range of future outputs and impacts - but how are these inputs chosen? This case study examined how a landscape ecology approach could better shape scenario development for a SLEUTH (slope, land use, exclusion, urban, transportation, and hillshade) model application toward achieving possibly more ecologically sustainable scenarios and, therefore, future landscapes. Our methodology relied on two main steps - developing landscape-ecology-led growth scenarios and using SLEUTH to model their impacts on urban growth and land-use change. As a case study, we applied the model to Sariyer, Istanbul, for the year 2045, where transportation infrastructure changes portend significant implications for the future landscape. Even though there are many works on urban growth in the international literature, there has been only limited investigation of the effects of urban transportation systems in developing nations and their implications for urban landscapes. This study's novelty lies in including a landscape ecology approach in the scenario development to enable better integration with modeling and the use of landscape metrics to modify the scenarios and interpret the model outcomes. Our research question is: can a joint approach of scenario development using landscape ecology principles (associated with landscape metrics) and SLEUTH modeling accurately forecast the impacts of landscape ecology and ecosystem services on human and urban systems? We conclude that a landscape ecology approach does help illuminate future urban-growth behavior led by transportation system development. Landscape ecology can be a medium through which the SLEUTH model can articulate more-comprehensive ecological planning related to the implications of different growth scenarios.
KW - Land-use change
KW - Landscape ecology
KW - Landscape metrics
KW - Landscape planning
KW - SLEUTH model
UR - http://www.scopus.com/inward/record.url?scp=85111436619&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)UP.1943-5444.0000746
DO - 10.1061/(ASCE)UP.1943-5444.0000746
M3 - Article
AN - SCOPUS:85111436619
SN - 0733-9488
VL - 147
JO - Journal of the Urban Planning and Development Division, ASCE
JF - Journal of the Urban Planning and Development Division, ASCE
IS - 4
M1 - 05021043
ER -