Integrated Modeling Driven Evaluation of Opportunities for Climate‐Resilient Perennial Biomass Crop Plantings in Flood‐Prone Agricultural Landscapes

ABSTRACT Adapting to future climate change in flood‐prone landscapes will require climate‐resilient agricultural systems. Planting perennial crops, like switchgrass and willow, along river corridors can mitigate future flooding while supporting bioenergy markets. We developed an integrated assessment linking climate, hydrologic, and inundation model results to assess future flood risk to river‐adjacent agricultural lands in the Mid‐Atlantic Region (MAR) and explore this opportunity. We produced ensemble streamflow projections for every MAR stream using a hydrologic model driven by a suite of downscaled and bias‐corrected Coupled Model Intercomparison Project Phase 6 climate projections. We then conducted high‐resolution inundation mapping based on projected flood frequencies for baseline and future periods. Results show that in the near‐term future, at least two‐thirds of the streams will experience 100‐year floods more severe than the baseline 200‐year floods. Riparian zones are projected to face a median rise of inundation by 9.5%–24.1%. Results show that there is an opportunity to mitigate flooding in over half of MAR's counties with the quantities of switchgrass and willow plantings anticipated for mature bioenergy markets, even under the most extreme (200‐year) flood events. Our integrated modeling framework can guide similar regions to evaluate opportunities for flood‐resilient agricultural systems under climate change.

Authors

Institutions

Publication Details

Journal
Journal of Flood Risk Management
Published
2025-05-06
DOI
https://doi.org/10.1111/jfr3.70056
Primary Topic
Bioenergy crop production and management
Type
article
Field-Weighted Citation Impact
1.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Modeling Driven Evaluation of Opportunities for Climate‐Resilient Perennial Biomass Crop Plantings in Flood‐Prone Agricultural Landscapes

Esther S. Parish, Ganesh R. Ghimire, Karen Maguire, Christopher R. DeRolph et al.
Journal of Flood Risk Management
Bioenergy crop production and management
1.90
article

Integrated Modeling Driven Evaluation of Opportunities for Climate‐Resilient Perennial Biomass Crop Plantings in Flood‐Prone Agricultural Landscapes

Esther S. Parish, Ganesh R. Ghimire, Karen Maguire, Christopher R. DeRolph, Shih‐Chieh Kao, Henriëtte I. Jager, Sudershan Gangrade, Yan Liu
article en

Abstract

ABSTRACT Adapting to future climate change in flood‐prone landscapes will require climate‐resilient agricultural systems. Planting perennial crops, like switchgrass and willow, along river corridors can mitigate future flooding while supporting bioenergy markets. We developed an integrated assessment linking climate, hydrologic, and inundation model results to assess future flood risk to river‐adjacent agricultural lands in the Mid‐Atlantic Region (MAR) and explore this opportunity. We produced ensemble streamflow projections for every MAR stream using a hydrologic model driven by a suite of downscaled and bias‐corrected Coupled Model Intercomparison Project Phase 6 climate projections. We then conducted high‐resolution inundation mapping based on projected flood frequencies for baseline and future periods. Results show that in the near‐term future, at least two‐thirds of the streams will experience 100‐year floods more severe than the baseline 200‐year floods. Riparian zones are projected to face a median rise of inundation by 9.5%–24.1%. Results show that there is an opportunity to mitigate flooding in over half of MAR's counties with the quantities of switchgrass and willow plantings anticipated for mature bioenergy markets, even under the most extreme (200‐year) flood events. Our integrated modeling framework can guide similar regions to evaluate opportunities for flood‐resilient agricultural systems under climate change.

Journal of Flood Risk ManagementVol. 18(2)
Oak Ridge National Laboratory (US), Economic Research Service (US)
U.S. Department of Energy, Office of Science, Office of Energy Efficiency and Renewable Energy, Office of Energy Efficiency, Oak Ridge National Laboratory
Openalex Percentile: Top 17%
Bioenergy crop production and management
1.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.