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Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation
dc.contributor.authorRubio, Vanessa E.
dc.contributor.authorZambrano, Jenny
dc.contributor.authorIida, Yoshiko
dc.contributor.authorUmaña, María Natalia
dc.contributor.authorSwenson, Nathan G.
dc.date.accessioned2021-04-06T02:10:01Z
dc.date.available2022-04-05 22:10:00en
dc.date.available2021-04-06T02:10:01Z
dc.date.issued2021-03
dc.identifier.citationRubio, Vanessa E.; Zambrano, Jenny; Iida, Yoshiko; Umaña, María Natalia ; Swenson, Nathan G. (2021). "Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation." Journal of Ecology (3): 1331-1343.
dc.identifier.issn0022-0477
dc.identifier.issn1365-2745
dc.identifier.urihttps://hdl.handle.net/2027.42/167027
dc.description.abstractIndividual‐level demographic outcomes should be predictable upon the basis of traits. However, linking traits to tree performance has proven challenging likely due to a failure to consider physiological traits (i.e. hard‐traits) and the failure to integrate organ‐level and whole plant‐level trait information.Here, we modelled the survival rate and relative growth rate of trees while considering crown allocation, hard‐traits and local‐scale biotic interactions, and compared these models to more traditional trait‐based models of tree performance.We found that an integrative trait, total tree‐level photosynthetic mass (estimated by multiplying specific leaf area and crown area) results in superior models of tree survival and growth. These models had a lower AIC than those including the effect of initial tree size or any other combination of the traits considered. Survival rates were positively related to higher values of crown area and photosynthetic mass, while relative growth rates were negatively related to the photosynthetic mass. Relative growth rates were negatively related to a neighbourhood crowding index. Furthermore, none of the hard‐traits used in this study provided an improvement in tree performance models.Synthesis. Overall, our results highlight that models of tree performance can be greatly improved by including crown area information to generate a better understanding of plant responses to their environment. Additionally, the role of the hard‐traits in improving models of tree performance is likely dependent upon the level of stress (e.g. drought stress), micro‐environmental conditions or short‐term climatic variations that a particular forest experiences.Our results highlight that models of tree performance can be greatly improved by including crown area information to generate a better understanding of plant responses to their environment. Additionally, the role of the hard‐traits in improving models of tree performance is likely dependent upon the level of stress (e.g. drought stress), micro‐environmental conditions or short‐term climatic variations that a particular forest experiences.
dc.publisherCAB International
dc.publisherWiley Periodicals, Inc.
dc.subject.otherforest ecology
dc.subject.otherfunctional trait
dc.subject.othertrait integration
dc.subject.othercommunity ecology
dc.subject.otherdemographic rate
dc.titleImproving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelEcology and Evolutionary Biology
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167027/1/jec13560.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167027/2/jec13560_am.pdf
dc.identifier.doi10.1111/1365-2745.13560
dc.identifier.sourceJournal of Ecology
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

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