A Model Integration Framework for Assessing Integrated Landscape Management Strategies

Abodeely, Jared M.; Muth, David J.; Koch, Joshua; Bryden, Kenneth M.

doi:10.1007/978-3-642-41151-9_12

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Studies of switchgrass cultivation in the southeastern US using crop production models have come to different conclusions as to whether yield is sensitive (Woli, ) or insensitive (Persson et al ., ) to underlying soil type. At the finest spatial scale, a group at Idaho National Laboratory has used corn yield data from a precision agriculture system in Iowa to drive DayCent and models of soil erosion and identify areas of low nitrogen use efficiency to target for conversion to switchgrass (Abodeely et al ., ). Many studies conduct large numbers of fine‐scale simulations to make regional‐scale estimates of feedstock productivity and environmental performance, though they typically do not report on soil‐climate‐management interactions explicitly but rather emphasize more aggregate descriptions of landscape performance (e.g.…”

Section: Introductionmentioning

confidence: 97%

Ecosystem model parameterization and adaptation for sustainable cellulosic biofuel landscape design

et al. 2016

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Renewable fuel standards in the US and elsewhere mandate the production of large quantities of cellulosic biofuels with low greenhouse gas (GHG) footprints, a requirement which will likely entail extensive cultivation of dedicated bioenergy feedstock crops on marginal agricultural lands. Performance data for such systems is sparse, and non-linear interactions between the feedstock species, agronomic management intensity, and underlying soil and land characteristics complicate the development of sustainable landscape design strategies for low-impact commercial-scale feedstock production. Process-based ecosystem models are valuable for extrapolating field trial results and making predictions of productivity and associated environmental impacts that integrate the effects of spatially variable environmental factors across diverse production landscapes. However, there are few examples of ecosystem model parameterization against field trials on both prime and marginal lands or of conducting landscape-scale analyses at sufficient resolution to capture interactions between soil type, land use, and management intensity. In this work we used a data-diverse, multi-criteria approach to parameterize and validate the DayCent biogeochemistry model for upland and lowland switchgrass using data on yields, soil carbon changes, and soil nitrous oxide emissions from US field trials spanning a range of climates, soil types, and management conditions. We then conducted a high-resolution case study analysis of a real-world cellulosic biofuel landscape in Kansas in order to estimate feedstock production potential and associated direct biogenic GHG emissions footprint. Our results suggest that switchgrass yields and emissions balance can vary greatly across a landscape large enough to supply a biorefinery in response to variations in soil type and land-use history, but that within a given land base both of these performance factors can be widely modulated by changing management intensity. This in turn implies a large sustainable cellulosic biofuel landscape design space within which a system can be optimized to meet economic or environmental objectives.

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Section: Introductionmentioning

confidence: 97%

Ecosystem model parameterization and adaptation for sustainable cellulosic biofuel landscape design

et al. 2016

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“…Similar to nutrient management, Muth et al [31] have combined yield monitoring data with subfield soil and surface conditions to demonstrate the necessity for managing sustainable corn stover collection on a subfield basis. Abodeely et al [32] continued the work of Muth et al to suggest integration of switchgrass based on protecting sensitive portions of the field from erosion and nutrient loss. Our research expands upon these precision conservation techniques to identify the areas of fields where energy crops may be more economically competitive compared to row crops and explores the potential increase to county level biomass production.…”

Section: Introductionmentioning

confidence: 99%

Opportunities for Energy Crop Production Based on Subfield Scale Distribution of Profitability

Bonner

Cafferty

Muth³

et al. 2014

Energies

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Incorporation of dedicated herbaceous energy crops into row crop landscapes is a promising means to supply an expanding biofuel industry while benefiting soil and water quality and increasing biodiversity. Despite these positive traits, energy crops remain largely unaccepted due to concerns over their practicality and cost of implementation. This paper presents a case study for Hardin County, Iowa, to demonstrate how subfield decision making can be used to target candidate areas for conversion to energy crop production. Estimates of variability in row crop production at a subfield level are used to model the economic performance of corn (Zea mays L.) grain and the environmental impacts of corn stover collection using the Landscape Environmental Analysis Framework (LEAF). The strategy used in the case study integrates switchgrass (Panicum virgatum L.) into subfield landscape positions where corn grain is modeled to return a net economic loss. Results show that switchgrass integration has the potential to increase sustainable biomass production from OPEN ACCESSEnergies 2014, 7 6510 48% to 99% (depending on the rigor of conservation practices applied to corn stover collection), while also improving field level profitability of corn. Candidate land area is highly sensitive to grain price (0.18 to 0.26 $· kg −1 ) and dependent on the acceptable subfield net loss for corn production (ranging from 0 to −1000 $· ha −1 ) and the ability of switchgrass production to meet or exceed this return. This work presents the case that switchgrass may be economically incorporated into row crop landscapes when management decisions are applied at a subfield scale within field areas modeled to have a negative net profit with current management practices.

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Determining Switchgrass Breakeven Prices in a Landscape Design System

Soldavini

Tyner

2017

Bioenerg. Res.

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A Model Integration Framework for Assessing Integrated Landscape Management Strategies

Cited by 3 publications

References 12 publications

Ecosystem model parameterization and adaptation for sustainable cellulosic biofuel landscape design

Ecosystem model parameterization and adaptation for sustainable cellulosic biofuel landscape design

Opportunities for Energy Crop Production Based on Subfield Scale Distribution of Profitability

Determining Switchgrass Breakeven Prices in a Landscape Design System

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