Trait ecology of startup plants.

epicormic growth plant ecological strategies regeneration strategy resprout sapling seedling startup trait ecology

Journal

The New phytologist
ISSN: 1469-8137
Titre abrégé: New Phytol
Pays: England
ID NLM: 9882884

Informations de publication

Date de publication:
08 2022
Historique:
received: 23 02 2022
accepted: 21 04 2022
pubmed: 1 5 2022
medline: 2 7 2022
entrez: 30 4 2022
Statut: ppublish

Résumé

Startup plants include seedlings and basal and epicormic resprouts. It has long been held that startups have different strategies from adult plants, but theory for what trait differences to expect is limited and not yet quantitatively tested. Three applicable concepts are analogous to human startup firms, R-shift, and trait-growth theory. All three suggest startups should be built with lower construction costs than established plants. This appears to be almost always true in terms of leaf mass per area (LMA), though many comparisons are complicated by the startups growing in lower light. Trait-growth theory predicts LMA should increase progressively with height or total leaf area, driven by higher conductive-pathway costs associated with each unit leaf area, and by greater reward from slowing leaf turnover. Basal resprouts often have somewhat higher LMA than seedlings, but possibly this is simply because they are larger. A number of eminently testable questions are identified. Prospects are good for a theoretically cogent and field-tested body of knowledge about plant startups.

Identifiants

pubmed: 35488498
doi: 10.1111/nph.18193
pmc: PMC9325420
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

842-847

Informations de copyright

© 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation.

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Auteurs

Mark Westoby (M)

School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.

Julian Schrader (J)

School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
Department of Biodiversity, Macroecology and Biogeography, University of Goettingen, Goettingen, 37073, Germany.

Daniel Falster (D)

Evolution & Ecology Research, University of New South Wales, Sydney, NSW, 2052, Australia.

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Classifications MeSH