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Climate Effects and Feedback Structure Determining Weed Population Dynamics in a Long-Term Experiment

Overview of attention for article published in PLOS ONE, January 2012
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Title
Climate Effects and Feedback Structure Determining Weed Population Dynamics in a Long-Term Experiment
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030569
Pubmed ID
Authors

Mauricio Lima, Luis Navarrete, José Luis González-Andujar

Abstract

Pest control is one of the areas in which population dynamic theory has been successfully applied to solve practical problems. However, the links between population dynamic theory and model construction have been less emphasized in the management and control of weed populations. Most management models of weed population dynamics have emphasized the role of the endogenous process, but the role of exogenous variables such as climate have been ignored in the study of weed populations and their management. Here, we use long-term data (22 years) on two annual weed species from a locality in Central Spain to determine the importance of endogenous and exogenous processes (local and large-scale climate factors). Our modeling study determined two different feedback structures and climate effects in the two weed species analyzed. While Descurainia sophia exhibited a second-order feedback and low climate influence, Veronica hederifolia was characterized by a first-order feedback structure and important effects from temperature and rainfall. Our results strongly suggest the importance of theoretical population dynamics in understanding plant population systems. Moreover, the use of this approach, discerning between the effect of exogenous and endogenous factors, can be fundamental to applying weed management practices in agricultural systems and to controlling invasive weedy species. This is a radical change from most approaches currently used to guide weed and invasive weedy species managements.

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The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Chile 1 2%
Germany 1 2%
Sweden 1 2%
Unknown 48 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Master 11 21%
Researcher 10 19%
Professor 6 11%
Student > Doctoral Student 3 6%
Other 6 11%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 51%
Environmental Science 11 21%
Earth and Planetary Sciences 3 6%
Engineering 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 9%
Unknown 4 8%