Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways

Population change is a main driver behind global environmental change, including urban land expansion. In future scenario modeling, assumptions regarding how populations will change locally, despite identical global constraints of Shared Socioeconomic Pathways (SSPs), can have dramatic effects on su...

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Main Authors: Ryan A McManamay, Alen Raad, Chris R Vernon, Travis Thurber, Jing Gao, Stephen Powers, Brian O’Neill
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ad2eec
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author Ryan A McManamay
Alen Raad
Chris R Vernon
Travis Thurber
Jing Gao
Stephen Powers
Brian O’Neill
author_facet Ryan A McManamay
Alen Raad
Chris R Vernon
Travis Thurber
Jing Gao
Stephen Powers
Brian O’Neill
author_sort Ryan A McManamay
collection DOAJ
description Population change is a main driver behind global environmental change, including urban land expansion. In future scenario modeling, assumptions regarding how populations will change locally, despite identical global constraints of Shared Socioeconomic Pathways (SSPs), can have dramatic effects on subsequent regional urbanization. Using a spatial modeling experiment at high resolution (1 km), this study compared how two alternative US population projections, varying in the spatially explicit nature of demographic patterns and migration, affect urban land dynamics simulated by the Spatially Explicit, Long-term, Empirical City development (SELECT) model for SSP2, SSP3, and SSP5. The population projections included: (1) newer downscaled state-specific population (SP) projections inclusive of updated international and domestic migration estimates, and (2) prevailing downscaled national-level projections (NP) agnostic to localized demographic processes. Our work shows that alternative population inputs, even those under the same SSP, can lead to dramatic and complex differences in urban land outcomes. Under the SP projection, urbanization displays more of an extensification pattern compared to the NP projection. This suggests that recent demographic information supports more extreme urban extensification and land pressures on existing rural areas in the US than previously anticipated. Urban land outcomes to population inputs were spatially variable where areas in close spatial proximity showed divergent patterns, reflective of the spatially complex urbanization processes that can be accommodated in SELECT. Although different population projections and assumptions led to divergent outcomes, urban land development is not a linear product of population change but the result of complex relationships between population, dynamic urbanization processes, stages of urban development maturity, and feedback mechanisms. These findings highlight the importance of accounting for spatial variations in the population projections, but also urbanization process to accurately project long-term urban land patterns.
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spelling doaj.art-ad651d0986f545a68f35f20e8e228ba02024-03-15T08:38:05ZengIOP PublishingEnvironmental Research Letters1748-93262024-01-0119404402510.1088/1748-9326/ad2eecDivergent urban land trajectories under alternative population projections within the Shared Socioeconomic PathwaysRyan A McManamay0https://orcid.org/0000-0002-5551-3140Alen Raad1Chris R Vernon2https://orcid.org/0000-0002-3406-6214Travis Thurber3https://orcid.org/0000-0002-4370-9971Jing Gao4https://orcid.org/0000-0003-1778-8909Stephen Powers5Brian O’Neill6Department of Environmental Science, Baylor University , Waco, TX, United States of AmericaDepartment of Environmental Science, Baylor University , Waco, TX, United States of America; Department of Biology, Baylor University , Waco, TX, United States of AmericaPacific Northwest National Laboratory , Richland, WA, United States of AmericaPacific Northwest National Laboratory , Richland, WA, United States of AmericaDepartment of Geography and Spatial Science, University of Delaware , Newark, DE, United States of AmericaDepartment of Biology, Baylor University , Waco, TX, United States of AmericaPacific Northwest National Laboratory , Richland, WA, United States of AmericaPopulation change is a main driver behind global environmental change, including urban land expansion. In future scenario modeling, assumptions regarding how populations will change locally, despite identical global constraints of Shared Socioeconomic Pathways (SSPs), can have dramatic effects on subsequent regional urbanization. Using a spatial modeling experiment at high resolution (1 km), this study compared how two alternative US population projections, varying in the spatially explicit nature of demographic patterns and migration, affect urban land dynamics simulated by the Spatially Explicit, Long-term, Empirical City development (SELECT) model for SSP2, SSP3, and SSP5. The population projections included: (1) newer downscaled state-specific population (SP) projections inclusive of updated international and domestic migration estimates, and (2) prevailing downscaled national-level projections (NP) agnostic to localized demographic processes. Our work shows that alternative population inputs, even those under the same SSP, can lead to dramatic and complex differences in urban land outcomes. Under the SP projection, urbanization displays more of an extensification pattern compared to the NP projection. This suggests that recent demographic information supports more extreme urban extensification and land pressures on existing rural areas in the US than previously anticipated. Urban land outcomes to population inputs were spatially variable where areas in close spatial proximity showed divergent patterns, reflective of the spatially complex urbanization processes that can be accommodated in SELECT. Although different population projections and assumptions led to divergent outcomes, urban land development is not a linear product of population change but the result of complex relationships between population, dynamic urbanization processes, stages of urban development maturity, and feedback mechanisms. These findings highlight the importance of accounting for spatial variations in the population projections, but also urbanization process to accurately project long-term urban land patterns.https://doi.org/10.1088/1748-9326/ad2eecurbanizationscenariosland use and land cover changerural
spellingShingle Ryan A McManamay
Alen Raad
Chris R Vernon
Travis Thurber
Jing Gao
Stephen Powers
Brian O’Neill
Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
Environmental Research Letters
urbanization
scenarios
land use and land cover change
rural
title Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
title_full Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
title_fullStr Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
title_full_unstemmed Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
title_short Divergent urban land trajectories under alternative population projections within the Shared Socioeconomic Pathways
title_sort divergent urban land trajectories under alternative population projections within the shared socioeconomic pathways
topic urbanization
scenarios
land use and land cover change
rural
url https://doi.org/10.1088/1748-9326/ad2eec
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