2013
DOI: 10.48044/jauf.2013.011
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Using Size Class Distributions of Species to Deduce the Dynamics of the Private Urban Forest

Abstract: Urban governance in Western societies is increasingly shaped by awareness of the importance of trees in maintaining the environmental function and social livability of cities. Records of change in urban forest composition on public land are generally good. However, a great proportion of trees in western cities occur on private land, where such changes are poorly-documented. The study authors trialed the use of size class analysis, a technique widely used to deduce the dynamics of natural forests, to determine … Show more

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Cited by 13 publications
(1 citation statement)
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“…In particular, trees in lawns, along streets, and in plazas are anthropogenically constructed portions of the urban forest, in that these tree communities are formed primarily by human planting, rather than natural regeneration from seedlings [8,11]. Urban forests in hardscape and lawn environments are comprised of numerous tree planting cohorts of varying age classes, leading to complex size structures and taxonomic composition reflecting legacies of past human actions [12][13][14]. To achieve a net gain in tree counts, the number of new trees must outnumber the losses of existing trees, all in the context of limited plantable space [11,15].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, trees in lawns, along streets, and in plazas are anthropogenically constructed portions of the urban forest, in that these tree communities are formed primarily by human planting, rather than natural regeneration from seedlings [8,11]. Urban forests in hardscape and lawn environments are comprised of numerous tree planting cohorts of varying age classes, leading to complex size structures and taxonomic composition reflecting legacies of past human actions [12][13][14]. To achieve a net gain in tree counts, the number of new trees must outnumber the losses of existing trees, all in the context of limited plantable space [11,15].…”
Section: Introductionmentioning
confidence: 99%