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Ecology


Title:A judgment and decision-making model for plant behavior
Author(s):Karban R; Orrock JL;
Address:"Department of Entomology and Nematology, University of California, Davis, Davis, California, 95616, USA. Department of Integrative Biology, University of Wisconsin, Madison, Wisconsin, 53704, USA"
Journal Title:Ecology
Year:2018
Volume:20180726
Issue:9
Page Number:1909 - 1919
DOI: 10.1002/ecy.2418
ISSN/ISBN:0012-9658 (Print) 0012-9658 (Linking)
Abstract:"Recently plant biologists have documented that plants, like animals, engage in many activities that can be considered as behaviors, although plant biologists currently lack a conceptual framework to understand these processes. Borrowing the well-established framework developed by psychologists, we propose that plant behaviors can be constructively modeled by identifying four distinct components: (1) a cue or stimulus that provides information, (2) a judgment whereby the plant perceives and processes this informative cue, (3) a decision whereby the plant chooses among several options based on their relative costs and benefits, and (4) action. Judgment for plants can be determined empirically by monitoring signaling associated with electrical, calcium, or hormonal fluxes. Decision-making can be evaluated empirically by monitoring gene expression or differential allocation of resources. We provide examples of the utility of this judgment and decision-making framework by considering cases in which plants either successfully or unsuccessfully induced resistance against attacking herbivores. Separating judgment from decision-making suggests new analytical paradigms (i.e., Bayesian methods for judgment and economic utility models for decision-making). Following this framework, we propose an experimental approach to plant behavior that explicitly manipulates the stimuli provided to plants, uses plants that vary in sensory abilities, and examines how environmental context affects plant responses. The concepts and approaches that follow from the judgment and decision-making framework can shape how we study and understand plant-herbivore interactions, biological invasions, plant responses to climate change, and the susceptibility of plants to evolutionary traps"
Keywords:Animals Bayes Theorem Biological Evolution Herbivory *Judgment *Plants cognition defense error information psychology signal;
Notes:"MedlineKarban, Richard Orrock, John L eng USDA Regional Research Grant/International Research Support, U.S. Gov't, Non-P.H.S. 2018/06/13 Ecology. 2018 Sep; 99(9):1909-1919. doi: 10.1002/ecy.2418. Epub 2018 Jul 26"

 
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