Linking ecomechanical models and functional traits to understand phenotypic diversity

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dc.contributor.authorHigham, Timothy E.
dc.contributor.authorFerry, Lara A.
dc.contributor.authorSchmitz, Lars
dc.contributor.authorIrschick, Duncan J.
dc.contributor.authorStarko, Samuel
dc.contributor.authorAnderson, Philip S. L.
dc.contributor.authorBergmann, Philip J.
dc.contributor.authorJamniczky, Heather A.
dc.contributor.authorMonteiro, Leandro R.
dc.contributor.authorNavon, Dina
dc.contributor.authorMessier, Julie
dc.contributor.authorCarrington, Emily
dc.contributor.authorFarina, Stacy C.
dc.contributor.authorFeilich, Kara L.
dc.contributor.authorHernandez, L. Patricia
dc.contributor.authorJohnson, Michele A.
dc.contributor.authorKawano, Sandy M.
dc.contributor.authorLaw, Chris J.
dc.contributor.authorLongo, Sarah J.
dc.contributor.authorMartin et al, Christopher H.
dc.date.accessioned2021-07-08T21:20:18Z
dc.date.available2021-07-08T21:20:18Z
dc.date.copyright2021en_US
dc.date.issued2021
dc.description.abstractPhysical principles and laws determine the set of possible organismal phenotypes. Constraints arising from development, the environment, and evolutionary history then yield workable, integrated phenotypes. We propose a theoretical and practical framework that considers the role of changing environments. This ‘ecomechanical approach’ integrates functional organismal traits with the ecological variables. This approach informs our ability to predict species shifts in survival and distribution and provides critical insights into phenotypic diversity. We outline how to use the ecomechanical paradigm using drag-induced bending in trees as an example. Our approach can be incorporated into existing research and help build interdisciplinary bridges. Finally, we identify key factors needed for mass data collection, analysis, and the dissemination of models relevant to this framework.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis paper resulted from an NSF-funded working group (Rules of Life IOS 1839786) to T.E.H. and L.F. Alex Boersma provided the illustrations for all Figures other than Figure 1. Pierre Couteron helped us select the dataset for trees in Peru.en_US
dc.identifier.citationHigham, T., Ferry, L., Schmitz, L., Irschick, D., Starko, S., Anderson, P. S. L., Bergmann, P. J., Jamniczky, H. A., Monteiro, L. R., Navon, D., Messier, J., Carrington, E., Farina, S. C., Feilich, K. L., Hernandez, L. P., Johnson, M. A., Kawano, S. M., Law, C. J., Longo, S. J., … Niklas, K. J. (2021). Linking ecomechanical models and functional traits to understand phenotypic diversity. Trends in Ecology and Evolution.en_US
dc.identifier.urihttps://doi.org/10.1016/j.tree.2021.05.009
dc.identifier.urihttp://hdl.handle.net/1828/13099
dc.language.isoenen_US
dc.publisherTrends in Ecology and Evolutionen_US
dc.rightsAttribution 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.subject.departmentDepartment of Biology
dc.titleLinking ecomechanical models and functional traits to understand phenotypic diversityen_US
dc.typePostprinten_US

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