Conserving slow-growing, long-lived tree species: Input from the demography of a rare understory conifer, Taxus floridana

Charles Kwit, Carol C. Horvitz, William J. Platt

Research output: Contribution to journalArticle

42 Scopus citations

Abstract

Although land preservation and promotion of successful regeneration are important conservation actions, their ability to increase population growth rates of slow-growing, long-lived trees is limited. We investigated the demography of Taxus floridana Nutt., a rare understory conifer, in three populations in different ravine forests spanning its entire geographic range along the Apalachicola River Bluffs in northern Florida (U.S.A.). We examined spatial and temporal patterns in demographic parameters and projected population growth rates by using four years of data on the recruitment and survival of seedlings and established stems, and on diameter growth from cross-sections of dead stems. All populations experienced a roughly 10-fold increase in seedling recruitment in 1996 compared with other years. The fates of seedlings and stems between 8 and 16 mm differed among populations. The fates of stems in two other size classes (the 2- to 4-mm class and the 4- to 8-mm class) differed among both populations and years. Individual stems in all populations exhibited similarly slow growth rates. Stochastic matrix models projected declines in all populations. Stochastic matrix analysis revealed the high elasticity of a measure of stochastic population growth rate to perturbations in the stasis of large reproductive stems for all populations. Additional analyses also indicated that occasional episodes of high recruitment do not greatly affect population growth rates. Conservation efforts directed at long-lived, slow-growing rare plants like Taxus floridana should both protect established reproductive individuals and further enhance survival of individuals in other life-history stages, such as juveniles, that often do not appear to contribute greatly to population growth rates.

Original languageEnglish (US)
Pages (from-to)432-443
Number of pages12
JournalConservation Biology
Volume18
Issue number2
DOIs
StatePublished - Apr 1 2004

Keywords

  • Elasticity analysis
  • Environmental stochasticity
  • Episodic recruitment
  • Matrix population models
  • Population dynamics
  • Spatial and temporal variation

ASJC Scopus subject areas

  • Ecology
  • Environmental Science(all)
  • Environmental Chemistry
  • Nature and Landscape Conservation

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