WISDEM

<p>WISDEM simulates the variation in multi-species weed populations over time in response to crop rotation, tillage system, and specific weed management tactics and the consequent crop yield loss due to weed competition. Population dynamics of individual weed species are predicted from a limited number of parameters that can be derived from literature sources and expert opinion.</p> <p>Data to model the population dynamics and crop yield loss of multi-species weed populations is extremely limited as well as expensive and time-consuming to obtain. WISDEM simulates population dynamics of multi-species weed populations in response to crop rotation, tillage system, and specific weed management tactics as well as the resulting crop yield reduction from weed competition. The model uses an innovative structure for modeling weed population dynamics that requires only a small number of parameters and these can be readily derived from literature sources and regional surveys of weed experts. The structure is based on the general theory of density dependence of plant productivity and the extensive use of rectangular hyperbolic equations for describing crop yield as a function of weed density. Only two density-independent parameters are required for each species to represent differences in seed bank mortality, seedling emergence and maximum seed production. One equation is used to model crop yield loss and density-dependent weed seed production as a function of crop and weed density, relative time of weed and crop emergence and differences among species in competitive ability. WISDEM has been parameterized for 4 crops and 15 weeds of the Great Plains. A preliminary, limited evaluation provides evidence that predictions of yield loss from single species of weeds and the short term trajectories of changes in weed populations are biologically reasonable. We think the accuracy is sufficient for the goal of modeling general trends in population density accurately enough to highlight potential weed problems and solutions when comparing alternative crop management options for a field. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: WISDEM.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20">https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20</a> </p><p>download page</p></li></ul><p></p>

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Bibliographic Details
Main Author: Lori J. Wiles (17480643)
Format: dataset biblioteca
Published: 2019
Subjects:Agricultural land management, Crop and pasture production, models, weed control, crop yield, crop-weed competition, population dynamics, expert opinion, regional surveys, experts, equations, mortality, seedling emergence, Great Plains region, prediction, population density, alternative crops, crop management, computer software,
Online Access:https://figshare.com/articles/model/WISDEM/24663702
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id dat-usda-us-article24663702
record_format figshare
spelling dat-usda-us-article246637022019-05-02T00:00:00Z WISDEM Lori J. Wiles (17480643) Agricultural land management Crop and pasture production models weed control crop yield crop-weed competition population dynamics expert opinion regional surveys experts equations mortality seedling emergence Great Plains region prediction population density alternative crops crop management computer software <p>WISDEM simulates the variation in multi-species weed populations over time in response to crop rotation, tillage system, and specific weed management tactics and the consequent crop yield loss due to weed competition. Population dynamics of individual weed species are predicted from a limited number of parameters that can be derived from literature sources and expert opinion.</p> <p>Data to model the population dynamics and crop yield loss of multi-species weed populations is extremely limited as well as expensive and time-consuming to obtain. WISDEM simulates population dynamics of multi-species weed populations in response to crop rotation, tillage system, and specific weed management tactics as well as the resulting crop yield reduction from weed competition. The model uses an innovative structure for modeling weed population dynamics that requires only a small number of parameters and these can be readily derived from literature sources and regional surveys of weed experts. The structure is based on the general theory of density dependence of plant productivity and the extensive use of rectangular hyperbolic equations for describing crop yield as a function of weed density. Only two density-independent parameters are required for each species to represent differences in seed bank mortality, seedling emergence and maximum seed production. One equation is used to model crop yield loss and density-dependent weed seed production as a function of crop and weed density, relative time of weed and crop emergence and differences among species in competitive ability. WISDEM has been parameterized for 4 crops and 15 weeds of the Great Plains. A preliminary, limited evaluation provides evidence that predictions of yield loss from single species of weeds and the short term trajectories of changes in weed populations are biologically reasonable. We think the accuracy is sufficient for the goal of modeling general trends in population density accurately enough to highlight potential weed problems and solutions when comparing alternative crop management options for a field. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: WISDEM.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20">https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20</a> </p><p>download page</p></li></ul><p></p> 2019-05-02T00:00:00Z dataset Model 10113/AA22564 https://figshare.com/articles/model/WISDEM/24663702 CC0
institution USDA US
collection Figshare
country Estados Unidos
countrycode US
component Datos de investigación
access En linea
databasecode dat-usda-us
tag biblioteca
region America del Norte
libraryname National Agricultural Library of USDA
topic Agricultural land management
Crop and pasture production
models
weed control
crop yield
crop-weed competition
population dynamics
expert opinion
regional surveys
experts
equations
mortality
seedling emergence
Great Plains region
prediction
population density
alternative crops
crop management
computer software
spellingShingle Agricultural land management
Crop and pasture production
models
weed control
crop yield
crop-weed competition
population dynamics
expert opinion
regional surveys
experts
equations
mortality
seedling emergence
Great Plains region
prediction
population density
alternative crops
crop management
computer software
Lori J. Wiles (17480643)
WISDEM
description <p>WISDEM simulates the variation in multi-species weed populations over time in response to crop rotation, tillage system, and specific weed management tactics and the consequent crop yield loss due to weed competition. Population dynamics of individual weed species are predicted from a limited number of parameters that can be derived from literature sources and expert opinion.</p> <p>Data to model the population dynamics and crop yield loss of multi-species weed populations is extremely limited as well as expensive and time-consuming to obtain. WISDEM simulates population dynamics of multi-species weed populations in response to crop rotation, tillage system, and specific weed management tactics as well as the resulting crop yield reduction from weed competition. The model uses an innovative structure for modeling weed population dynamics that requires only a small number of parameters and these can be readily derived from literature sources and regional surveys of weed experts. The structure is based on the general theory of density dependence of plant productivity and the extensive use of rectangular hyperbolic equations for describing crop yield as a function of weed density. Only two density-independent parameters are required for each species to represent differences in seed bank mortality, seedling emergence and maximum seed production. One equation is used to model crop yield loss and density-dependent weed seed production as a function of crop and weed density, relative time of weed and crop emergence and differences among species in competitive ability. WISDEM has been parameterized for 4 crops and 15 weeds of the Great Plains. A preliminary, limited evaluation provides evidence that predictions of yield loss from single species of weeds and the short term trajectories of changes in weed populations are biologically reasonable. We think the accuracy is sufficient for the goal of modeling general trends in population density accurately enough to highlight potential weed problems and solutions when comparing alternative crop management options for a field. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: WISDEM.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20">https://www.ars.usda.gov/research/software/download/?softwareid=182&modecode=30-12-30-20</a> </p><p>download page</p></li></ul><p></p>
format dataset
author Lori J. Wiles (17480643)
author_facet Lori J. Wiles (17480643)
author_sort Lori J. Wiles (17480643)
title WISDEM
title_short WISDEM
title_full WISDEM
title_fullStr WISDEM
title_full_unstemmed WISDEM
title_sort wisdem
publishDate 2019
url https://figshare.com/articles/model/WISDEM/24663702
work_keys_str_mv AT lorijwiles17480643 wisdem
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