Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems

Integrated assessment models (IAMs) capture synergies between human development and natural ecosystems that have important implications for the food-energy-water (FEW) nexus. However, their lack of fine-scale representation of water regulatory structure and landscape heterogeneity impedes their appl...

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Main Authors: Matt Yourek, Mingliang Liu, Fabio V. Scarpare, Kirti Rajagopalan, Keyvan Malek, Jan Boll, Maoyi Huang, Min Chen, Jennifer C. Adam
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1055771/full
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author Matt Yourek
Mingliang Liu
Fabio V. Scarpare
Kirti Rajagopalan
Keyvan Malek
Keyvan Malek
Jan Boll
Maoyi Huang
Min Chen
Jennifer C. Adam
author_facet Matt Yourek
Mingliang Liu
Fabio V. Scarpare
Kirti Rajagopalan
Keyvan Malek
Keyvan Malek
Jan Boll
Maoyi Huang
Min Chen
Jennifer C. Adam
author_sort Matt Yourek
collection DOAJ
description Integrated assessment models (IAMs) capture synergies between human development and natural ecosystems that have important implications for the food-energy-water (FEW) nexus. However, their lack of fine-scale representation of water regulatory structure and landscape heterogeneity impedes their application to FEW impact studies in water-limited basins. To address this limitation, we developed a framework for studying effects of global change on regional outcomes for food crops, bioenergy, hydropower, and instream flows. We applied the new methodology to the Columbia River Basin (CRB) as a case study. The framework uses the Demeter land-use and land-cover change (LULCC) downscaling tool, which we updated so that water rights are spatially integrated in the land allocation process. We downscaled two LULCC scenarios (SSP2-RCP 4.5 and SSP5-RCP 8.5) under three levels of irrigation expansion: no expansion (historical extent), moderate expansion (all land presently authorized by a water right is irrigated), and maximum expansion (new water rights are granted to cover all irrigable land). The downscaled scenarios were evaluated using a hydrology-cropping systems model and a reservoir model coupled in a linear fashion to quantify changes in food and bioenergy crop production, hydropower generation, and availability of instream flows for fish. The net changes in each sector were partitioned among climate, land use, and irrigation-expansion effects. We found that climate change alone resulted in approximately 50% greater production of switchgrass for bioenergy and 20% greater instream flow deficits. In the irrigation-expansion scenarios, the combination of climate change and greater irrigated extent increased switchgrass production by 76% to 256% at the cost of 42% to 165% greater instream flow deficits and 0% to 8% less hydropower generation. Therefore, while irrigation expansion increased bioenergy crop productivity, it also exacerbated seasonal water shortages, especially for instream use. This paper provides a general framework for assessing benchmark scenarios of global LULCC in terms of their regional FEW subsystem outcomes.
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spelling doaj.art-b1cbc4aefa8449508fc22e1bc9f84b4b2023-01-30T04:46:29ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-01-011110.3389/fenvs.2023.10557711055771Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystemsMatt Yourek0Mingliang Liu1Fabio V. Scarpare2Kirti Rajagopalan3Keyvan Malek4Keyvan Malek5Jan Boll6Maoyi Huang7Min Chen8Jennifer C. Adam9Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, United StatesDepartment of Civil and Environmental Engineering, Washington State University, Pullman, WA, United StatesDepartment of Civil and Environmental Engineering, Washington State University, Pullman, WA, United StatesDepartment of Biological Systems Engineering, Washington State University, Pullman, WA, United StatesNutrien Ag Solutions, Inc, Loveland, CO, United StatesDepartment of Agricultural and Biological Engineering, University of Illinois Urbana-Champaign, Champaign, IL, United StatesDepartment of Civil and Environmental Engineering, Washington State University, Pullman, WA, United StatesEarth Prediction and Innovation Center, National Oceanic and Atmospheric Administration, Silver Spring, MD, United StatesDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, United StatesDepartment of Civil and Environmental Engineering, Washington State University, Pullman, WA, United StatesIntegrated assessment models (IAMs) capture synergies between human development and natural ecosystems that have important implications for the food-energy-water (FEW) nexus. However, their lack of fine-scale representation of water regulatory structure and landscape heterogeneity impedes their application to FEW impact studies in water-limited basins. To address this limitation, we developed a framework for studying effects of global change on regional outcomes for food crops, bioenergy, hydropower, and instream flows. We applied the new methodology to the Columbia River Basin (CRB) as a case study. The framework uses the Demeter land-use and land-cover change (LULCC) downscaling tool, which we updated so that water rights are spatially integrated in the land allocation process. We downscaled two LULCC scenarios (SSP2-RCP 4.5 and SSP5-RCP 8.5) under three levels of irrigation expansion: no expansion (historical extent), moderate expansion (all land presently authorized by a water right is irrigated), and maximum expansion (new water rights are granted to cover all irrigable land). The downscaled scenarios were evaluated using a hydrology-cropping systems model and a reservoir model coupled in a linear fashion to quantify changes in food and bioenergy crop production, hydropower generation, and availability of instream flows for fish. The net changes in each sector were partitioned among climate, land use, and irrigation-expansion effects. We found that climate change alone resulted in approximately 50% greater production of switchgrass for bioenergy and 20% greater instream flow deficits. In the irrigation-expansion scenarios, the combination of climate change and greater irrigated extent increased switchgrass production by 76% to 256% at the cost of 42% to 165% greater instream flow deficits and 0% to 8% less hydropower generation. Therefore, while irrigation expansion increased bioenergy crop productivity, it also exacerbated seasonal water shortages, especially for instream use. This paper provides a general framework for assessing benchmark scenarios of global LULCC in terms of their regional FEW subsystem outcomes.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1055771/fullwater rightsland-use changebioenergymulti-model frameworkinstream flowhydropower
spellingShingle Matt Yourek
Mingliang Liu
Fabio V. Scarpare
Kirti Rajagopalan
Keyvan Malek
Keyvan Malek
Jan Boll
Maoyi Huang
Min Chen
Jennifer C. Adam
Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
Frontiers in Environmental Science
water rights
land-use change
bioenergy
multi-model framework
instream flow
hydropower
title Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
title_full Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
title_fullStr Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
title_full_unstemmed Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
title_short Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems
title_sort downscaling global land use cover change scenarios for regional analysis of food energy and water subsystems
topic water rights
land-use change
bioenergy
multi-model framework
instream flow
hydropower
url https://www.frontiersin.org/articles/10.3389/fenvs.2023.1055771/full
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