Using matrix models to determine cropping system effects on annual weed demography

dc.contributor.author Davis, Adam
dc.contributor.author Dixon, Philip
dc.contributor.author Liebman, Matthew
dc.contributor.author Dixon, Philip
dc.contributor.department Statistics
dc.contributor.department Agronomy
dc.date 2018-02-17T11:34:21.000
dc.date.accessioned 2020-07-02T06:57:58Z
dc.date.available 2020-07-02T06:57:58Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.issued 2004-01-01
dc.description.abstract <p>The design of most agricultural systems ignores the possibility that cropping system characteristics may affect weed population dynamics by altering key demographic rates of weeds. We examined legume green manure and tillage timing effects upon giant foxtail (Setaria faberi) demography with prospective and retrospective perturbation analyses of a periodic matrix population model. Demographic data were collected for S. faberi grown in a wheat–corn–soybean crop sequence in the central USA in 2000 and 2001, with either a wheat sole-crop (W) or wheat/red clover crop mixture (R) in the wheat phase. Wheat phase residues were incorporated either in fall (FT) or spring (ST) to form four cropping system treatments: FT/W, FT/R, ST/W, and ST/R. Demographic rates estimated from the field data included seed survival from October to March and March to October, seedling recruitment, plant survival, fecundity, and seed predation. The variable efficacy of postemergence weed control was modeled by varying the proportion of seedlings surviving to reproductive maturity from 0.025 to 0.20. Deterministic simulations indicated that there was both interannual and management-induced variation in S. faberi population growth rate. Stochastic population growth rate depended upon an interaction between legume green manure and tillage-timing effects, such that stochastic population growth rate was lowest for fall-tilled wheat and red clover, greater for fall-tilled wheat, and greatest for both spring-tilled management regimes. Within the fall-tilled regime, the cropping system (wheat vs. wheat plus clover) had a greater influence on relative rates of stochastic population growth as plant survival increased. However, plant survival did not affect the stochastic population growth rates in the spring-tilled treatments. Elasticity analysis suggested that seed survival through the winter, fecundity, and the proportion of seeds escaping predation were important driving variables for this system. Retrospective perturbation analysis supported these results but also indicated that fecundity and predation levels varied more in response to changing management treatments than winter seed survival, leading to their having a greater influence on differences in population growth among the four management treatments. Perturbation analyses of matrix population models will aid the development of integrated weed-management systems by elucidating cropping-system effects upon weed demography.</p>
dc.description.comments <p>This is an article from <em>Ecological Applications</em> 14 (2004): 655, doi:<a href="http://dx.doi.org/" target="_blank">10.1890/02-5385</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/61/
dc.identifier.articleid 1061
dc.identifier.contextkey 8059098
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/61
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90661
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/61/2004_Dixon_UsingMatrix.pdf|||Sat Jan 15 01:16:06 UTC 2022
dc.source.uri 10.1890/02-5385
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Statistics and Probability
dc.subject.keywords ecological weed management
dc.subject.keywords elasticity analysis
dc.subject.keywords giant foxtail
dc.subject.keywords legume green manure
dc.subject.keywords life table response experiment (LTRE)
dc.subject.keywords periodic matrix population model
dc.subject.keywords Setaria faberi
dc.subject.keywords stochastic simulation
dc.subject.keywords tillage timing
dc.title Using matrix models to determine cropping system effects on annual weed demography
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 7b3eb8d2-a569-4aba-87a1-5d9c2d99fade
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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