2015
DOI: 10.1111/1365-2745.12454
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Unravelling conflicting density‐ and distance‐dependent effects on plant reproduction using a spatially explicit approach

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Cited by 43 publications
(81 citation statements)
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References 54 publications
(133 reference statements)
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“…Therefore, it is possible that the positive density-dependent effects of predator satiation in years of high seed predation may be offset later by negative density-dependent recruitment of seedlings, which can cause large impacts on plant population dynamics and tree diversity (Hammond and Brown, 1998;Wright, 2002). As shown by Fedriani et al (2015), such antagonistic density-dependent effects may operate at multiple stages of plant reproduction. They found that fruit initiation was higher for individuals with more neighbours at small distances, but fruit development decreased with an increasing number of nearby neighbours leading to density-independent overall fruitset.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it is possible that the positive density-dependent effects of predator satiation in years of high seed predation may be offset later by negative density-dependent recruitment of seedlings, which can cause large impacts on plant population dynamics and tree diversity (Hammond and Brown, 1998;Wright, 2002). As shown by Fedriani et al (2015), such antagonistic density-dependent effects may operate at multiple stages of plant reproduction. They found that fruit initiation was higher for individuals with more neighbours at small distances, but fruit development decreased with an increasing number of nearby neighbours leading to density-independent overall fruitset.…”
Section: Discussionmentioning
confidence: 99%
“…Another possibility is that because fruit crop size is the outcome of numerous processes operating at several ontogenic stages, opposing DDD processes could in fact be operating but neutralising each other (e.g. Fedriani et al., ; Jones & Comita, ).…”
Section: Discussionmentioning
confidence: 99%
“…Finally, we use the density correlation function C m,K ( r ) developed by Fedriani et al. (), which directly relates the crop size of a rowan tree to the density of its conspecific neighbours. C m,K ( r ) estimates the classical Pearson correlation between the crop size success m i of a tree and the number of neighbours within distance r [=λ K i ( r )].…”
Section: Methodsmentioning
confidence: 99%
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