Introducing LandScaleR: A novel method for spatial downscaling of land use projections

Tamsin Woodman; Cristina  Rueda-Uribe; Roslyn Henry; David Burslem; Justin Travis; Peter Alexander

doi:10.1016/j.envsoft.2023.105826

Introducing LandScaleR: A novel method for spatial downscaling of land use projections

Tamsin Woodman, Cristina Rueda-Uribe, Roslyn Henry, David Burslem, Justin Travis, Peter Alexander

Research output: Contribution to journal › Article › peer-review

Abstract

Land use and land cover (LULC) projections do not always have sufficient spatial resolution to allow them to be used by environmental models that project how LULC impacts a range of variables, including ecosystem services, biodiversity, and hydrology. We present a downscaling method designed to generate the high resolution LULC projections often required for environmental modelling. LULC change is allocated to a high-resolution reference map based on the density of LULC classes in neighbouring grid cells. Increasing a parameter that controls the likelihood of cells adjacent to existing LULC classes being converted to the same class generated less spatially aggregated landscapes that better represented historic LULC patterns in Colombia between 1960 and 2019. This new downscaling method is available as an R package and will enable the reconciliation of the spatial resolution of LULC projections and key processes that are embedded in a range of environmental models.

Original language	English
Article number	105826
Journal	Environmental Modelling and Software
DOIs	https://doi.org/10.1016/j.envsoft.2023.105826
Publication status	Published - 1 Nov 2023

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title = "Introducing LandScaleR: A novel method for spatial downscaling of land use projections",

abstract = "Land use and land cover (LULC) projections do not always have sufficient spatial resolution to allow them to be used by environmental models that project how LULC impacts a range of variables, including ecosystem services, biodiversity, and hydrology. We present a downscaling method designed to generate the high resolution LULC projections often required for environmental modelling. LULC change is allocated to a high-resolution reference map based on the density of LULC classes in neighbouring grid cells. Increasing a parameter that controls the likelihood of cells adjacent to existing LULC classes being converted to the same class generated less spatially aggregated landscapes that better represented historic LULC patterns in Colombia between 1960 and 2019. This new downscaling method is available as an R package and will enable the reconciliation of the spatial resolution of LULC projections and key processes that are embedded in a range of environmental models.",

author = "Tamsin Woodman and Cristina Rueda-Uribe and Roslyn Henry and David Burslem and Justin Travis and Peter Alexander",

note = "Funding Information: TW was funded by an EASTBIO UKRI BBSRC grant number BB/T00875X/1 . Downscaling simulations and calculation of landscape pattern metrics were performed on the University of Aberdeen HPC, Maxwell. Funding Information: TW was funded by an EASTBIO UKRI BBSRC grant number BB/T00875X/1. Downscaling simulations and calculation of landscape pattern metrics were performed on the University of Aberdeen HPC, Maxwell. Publisher Copyright: {\textcopyright} 2023 The Authors",

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doi = "10.1016/j.envsoft.2023.105826",

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AU - Woodman, Tamsin

AU - Rueda-Uribe, Cristina

AU - Henry, Roslyn

AU - Burslem, David

AU - Travis, Justin

AU - Alexander, Peter

N1 - Funding Information: TW was funded by an EASTBIO UKRI BBSRC grant number BB/T00875X/1 . Downscaling simulations and calculation of landscape pattern metrics were performed on the University of Aberdeen HPC, Maxwell. Funding Information: TW was funded by an EASTBIO UKRI BBSRC grant number BB/T00875X/1. Downscaling simulations and calculation of landscape pattern metrics were performed on the University of Aberdeen HPC, Maxwell. Publisher Copyright: © 2023 The Authors

PY - 2023/11/1

Y1 - 2023/11/1

N2 - Land use and land cover (LULC) projections do not always have sufficient spatial resolution to allow them to be used by environmental models that project how LULC impacts a range of variables, including ecosystem services, biodiversity, and hydrology. We present a downscaling method designed to generate the high resolution LULC projections often required for environmental modelling. LULC change is allocated to a high-resolution reference map based on the density of LULC classes in neighbouring grid cells. Increasing a parameter that controls the likelihood of cells adjacent to existing LULC classes being converted to the same class generated less spatially aggregated landscapes that better represented historic LULC patterns in Colombia between 1960 and 2019. This new downscaling method is available as an R package and will enable the reconciliation of the spatial resolution of LULC projections and key processes that are embedded in a range of environmental models.

AB - Land use and land cover (LULC) projections do not always have sufficient spatial resolution to allow them to be used by environmental models that project how LULC impacts a range of variables, including ecosystem services, biodiversity, and hydrology. We present a downscaling method designed to generate the high resolution LULC projections often required for environmental modelling. LULC change is allocated to a high-resolution reference map based on the density of LULC classes in neighbouring grid cells. Increasing a parameter that controls the likelihood of cells adjacent to existing LULC classes being converted to the same class generated less spatially aggregated landscapes that better represented historic LULC patterns in Colombia between 1960 and 2019. This new downscaling method is available as an R package and will enable the reconciliation of the spatial resolution of LULC projections and key processes that are embedded in a range of environmental models.

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DO - 10.1016/j.envsoft.2023.105826

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SN - 1364-8152

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

M1 - 105826

ER -

Introducing LandScaleR: A novel method for spatial downscaling of land use projections

Abstract

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