2011
DOI: 10.1890/es11-00029.1
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History matters: tree establishment variability and species turnover in an African savanna

Abstract: Abstract. Demographic variability in the tree component of savannas, arising from both spatial and temporal variability in fire, herbivory, and climate, is thought to be a key driver maintaining tree-grass coexistence in savannas. Modeling work has shown that this variability can be vital to the persistence of savanna as a biome and that variability in climate, herbivory and fire affect tree establishment. However, empirical evaluations of the idea that savanna tree establishment is variable have so far been l… Show more

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Cited by 28 publications
(25 citation statements)
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“…Few empirical data have been available to verify this nonstationary concept of savanna dynamics, due to the paucity of long-term data. However, where data are available, they support the notion that history matters and that the current state of the system does not necessarily reflect recent events or current ecological processes (Staver et al 2011). These long stochastic return times make it difficult in practice to distinguish natural fluctuation from a regime shift, or a temporary upturn in woody plant abundance from directional, persistent woody encroachment.…”
Section: Climatementioning
confidence: 82%
“…Few empirical data have been available to verify this nonstationary concept of savanna dynamics, due to the paucity of long-term data. However, where data are available, they support the notion that history matters and that the current state of the system does not necessarily reflect recent events or current ecological processes (Staver et al 2011). These long stochastic return times make it difficult in practice to distinguish natural fluctuation from a regime shift, or a temporary upturn in woody plant abundance from directional, persistent woody encroachment.…”
Section: Climatementioning
confidence: 82%
“…The value of ADI can vary between zero (no branching) to >100 m -1 (extremely ramified). References on theory, significance and large datasets: Horn (1971); Pickett and Kempf (1980); Strauss and Agrawal (1999); Enquist (2002); Archibald and Bond (2003); Cooper et al (2003); Staver et al (2011).…”
Section: How To Measure?mentioning
confidence: 99%
“…References on theory, significance and large datasets: Horn (1971); Pickett and Kempf (1980); Strauss and Agrawal (1999); Enquist (2002); Archibald and Bond (2003); Cooper et al (2003); Staver et al (2011).…”
Section: How To Measure?mentioning
confidence: 99%