Optimal defense traits in plants living in environments with different productivities: extending Coley, Bryant and Chapin's model | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Optimal defense traits in plants living in environments with different productivities: extending Coley, Bryant and Chapin's model Łukasz Czekaj, Mariusz Krzysztof Janczur This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4115039/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Resource Availability Hypothesis (RAH) states that natural selection favors slow-growing plants with high levels of defense and lower rates of damage in less productive environments, and fast-growing plants with low levels of defense and high rates of damage in more productive environments. Methods: A model of optimal energy allocation to the growth, reproduction, and production of stable defensive substances in plants under different environmental productivities. Results: An exponential increase of environment productivity makes optimal a lower investment of energy to the production of defensive substances and thus, lower concentration of defensive substances, but differences in their concentrations among environments with different productivities are rather weak. Contrary to RAH, plants growing in more productive environments lost a lower lifetime proportion of vegetative tissue than plants from less productive environments. Higher environmental productivity led to a lower effect of defense on fitness for resistant strategies; however, the absolute value of the reproductive success was higher at higher environmental productivity. Conclusions: The optimal energy allocation approach allows for an understanding of why some plants growing at environments with higher productivity lose proportionally less biomass than plants growing at environments with lower productivity, even when they produce higher concentrations of defensive substances. Biological sciences/Ecology Biological sciences/Ecology/Evolutionary ecology Biological sciences/Evolution Biological sciences/Evolution/Evolutionary theory Biological sciences/Plant sciences/Plant ecology Biological sciences/Plant sciences/Plant evolution Biological sciences/Plant sciences/Plant reproduction Biological sciences/Plant sciences/Secondary metabolism herbivory optimal control optimal defense in plants environmental productivity allocation model Figures Figure 1 Figure 2 Figure 3 Figure 4 Full Text Additional Declarations No competing interests reported. Supplementary Files ACTUALSIPlantDefense10Mar2024.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4115039","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":280413944,"identity":"b4d63897-1a92-4494-bca7-d18c6bd8497f","order_by":0,"name":"Łukasz Czekaj","email":"","orcid":"","institution":"University of Gdańsk","correspondingAuthor":false,"prefix":"","firstName":"Łukasz","middleName":"","lastName":"Czekaj","suffix":""},{"id":280413945,"identity":"f71ccbca-f6c2-4764-9401-9fd86d52d03c","order_by":1,"name":"Mariusz Krzysztof 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