Assessment of the importance of spatial scale in long-term land use modelling of the Midwestern United States

Kyle, G. Page; Thomson, Allison M.; Wise, Marshall A.; Zhang, Xuesong

doi:10.1016/j.envsoft.2015.06.006

Title: Assessment of the importance of spatial scale in long-term land use modelling of the Midwestern United States

Journal Article · Wed Aug 12 00:00:00 EDT 2015 · Environmental Modelling and Software

DOI:https://doi.org/10.1016/j.envsoft.2015.06.006· OSTI ID:1229958

Kyle, G. Page ^[1]; Thomson, Allison M. ^[1]; Wise, Marshall A. ^[1]; Zhang, Xuesong ^[1]

Pacific Northwest National Laboratory (PNNL), College Park, MD (United States)

The purpose of this study is to assess the value of enhanced spatial resolution in the agriculture and land use component of an integrated assessment model. While these models have historically represented land use decisions at the scale of geopolitical regions, the present generation uses regions defined by climatic or environmental characteristics, to better represent the spatial heterogeneity of land productivity and potential uses. However, increasing a model’s spatial resolution incurs costs, including input data processing, structural modifications, increased run time, and increased complexity of results. This study uses the Global Change Assessment Model (GCAM) to analyze land use in the Midwestern United States in three levels of sub-regional aggregation and three scenarios of future climate mitigation. We demonstrate benefits of enhanced spatial resolution, and to facilitate the assessment of higher resolution model output we apply non-metric multidimensional scaling on a pair-wise distance matrix for visualization and analysis.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1229958

Alternate ID(s):: OSTI ID: 1251295

Report Number(s):: PNNL-SA-106492; KP1703030

Journal Information:: Environmental Modelling and Software, Vol. 72; ISSN 1364-8152

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 4 works

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integrated assessment
multivariate statistics
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Title: Assessment of the importance of spatial scale in long-term land use modelling of the Midwestern United States

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