Agent-based modeling to evaluate the effects of harvesting biomass and hunting on ring-necked pheasant (Phasianus colchicus) populations

Jasmine A.F. Kreig, Suzanne Lenhart, Eduardo Ponce, Henriette I. Jager

Research output: Contribution to journalArticlepeer-review

Abstract

As the US strives to divest from fossil fuels, dedicated energy crops have increased in popularity because of their potential to serve as a renewable source of transportation fuel and biomass-generated electricity. Whereas the impacts of crop agriculture on biodiversity have been well-documented, less is known about the potential impacts that growing bioenergy crops could have on wildlife. In this study, we look specifically at the ring-necked pheasant (Phasianus colchicus) and how pheasant populations may be influenced by growing and harvesting bioenergy crops. We explored effects of temporal harvest strategies at the field scale on biomass yield and pheasant population size. To investigate, we developed an agent-based model (ABM) that simulates ring-necked pheasants, tractors, hunters, and vegetation classes. One such vegetation class is land that is enrolled in a Conservation Reserve Program (CRP) plan specifically targeting pheasant conservation. Using this ABM, we assessed four different landscapes—corn-dominated, CRP-dominated, grassland-dominated, and mixed landscape—under strategies that varied the time of harvest. We also used ecological valuation to compare scenario outcomes from an economic perspective. We determined that biomass yield and pheasant population size were sensitive to harvesting times. Our scenarios totaled between ∼$931,000 (minimum) and $3.8 million (maximum) over all landscapes, though on average harvesting in late spring generated the most value ($2.45 million) and harvesting in fall was a close second in terms of profitability ($2.39 million).

Original languageEnglish
Article number110705
JournalEcological Modelling
Volume492
DOIs
StatePublished - Jun 2024

Funding

We appreciate funding for this research, provided by Kristen Johnson, Alicia Lindauer, and Andrea Bailey of the US Department of Energy (DOE) Biomass Energy Technologies Office to Oak Ridge National Laboratory. We would also like to thank Kevin Comer and Bill Belden of Antares Group Inc for landscape data. We appreciate the support of the University of Tennessee National Institute of Mathematical and Biological Synthesis (NIMBioS), which provided computing resources\u2014specifically the computing cluster at the Advanced Computing Facility (ACF). Thanks also to the Bredesen Center for Interdisciplinary Education and Research at the University of Tennessee Knoxville for funding and graduate student support. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05\u201300OR22725 with the US Department of Energy (DOE). The US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). We appreciate funding for this research, provided by Kristen Johnson, Alicia Lindauer, and Andrea Bailey of the US Department of Energy (DOE) Biomass Energy Technologies Office to Oak Ridge National Laboratory. We would also like to thank Kevin Comer and Bill Belden of Antares Group Inc for landscape data. We appreciate the support of the University of Tennessee National Institute of Mathematical and Biological Synthesis (NIMBioS), which provided computing resources\u2014specifically the computing cluster at the Advanced Computing Facility (ACF). hanks also to the Bredesen Center for Interdisciplinary Education and Research at the University of Tennessee Knoxville for funding and graduate student support. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE) . The US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

  • Agent-based model
  • Biomass
  • Conservation reserve program
  • Harvest scheduling
  • P. colchicus
  • Ring-necked pheasant

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