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logging</title></head><body>
<div><font face="Arial"><i>Forest Ecology and Management</i>, 1
December 2015, Pages 10-21</font></div>
<div><font face="Arial"><br></font></div>
<div><font face="Arial">Selective logging: Do rates of forest turnover
in stems, species composition and functional traits decrease with time
since disturbance? - A 45 year perspective</font></div>
<div><font face="Arial">Oyomoare L. Osazuwa-Peters et al</font><br>
</div>
<div><font
face="Arial"><b>doi:10.1016/j.foreco.2015.08.002</b></font></div>
<div><font face="Arial"><br></font></div>
<div><font face="Arial">Highlights<br>
<br>
*Succession theory predicts changes in forest attributes after
selective logging.<br>
*Stems, species, and functional trait change should decline
approaching unlogged steady state.<br>
*Selective logging resulted in persistently higher turnover rates in
Kibale's forest.<br>
*Turnover rates did not decline and were also high in unlogged
forests.</font></div>
<div><font face="Arial">*Ongoing forest-wide disturbance may limit
recovery from selective logging.</font><br>
</div>
<div><font face="Arial">Abstract- (<b>bold emphasis
added)</b></font></div>
<div><font
face="Arial"
>http://www.sciencedirect.com/science/article/pii/S0378112715004181</font
></div>
<div><font face="Arial"><br></font></div>
<div><font face="Arial"><b>Selective logging, the targeted harvesting
of timber trees in a single cutting cycle, is globally rising in
extent and intensity.</b> Short-term impacts of selective logging on
tropical forests have been widely investigated, but long-term effects
on temporal dynamics of forest structure and composition are largely
unknown. Understanding these long-term dynamics will help determine
whether tropical forests are resilient to selective logging and inform
choices between competing demands of anthropogenic use versus
conservation of tropical forests. Forest dynamics can be studied
within the framework of succession theory, which predicts that
temporal turnover rates should decline with time since disturbance.<b>
Here, we investigated the temporal dynamics of a tropical forest in
Kibale National Park, Uganda over 45 years following selective
logging.</b> We estimated turnover rates in stems, species
composition, and functional traits (wood density and diameter at
breast height), using observations from four censuses in 1989, 1999,
2006, and 2013, of stems 10 cm diameter within 17 unlogged and 9
logged 200 ? 10 m vegetation plots. We used null models
to account for interdependencies among turnover rates in stems,
species composition, and functional traits. We tested predictions that
turnover rates should be higher and decrease with increasing time
since the selective logging event in logged forest, but should be less
temporally variable in unlogged forest.<b> Overall, we found higher
turnover rates in logged forest for all three attributes, but turnover
rates did not decline through time in logged forest and was not less
temporally variable in unlogged forest. These results indicate that
successional models that assume recovery to pre-disturbance conditions
are inadequate for predicting the effects of selective logging on the
dynamics of the tropical forest in Kibale.</b> Selective logging
resulted in persistently higher turnover rates, which may compromise
the carbon storage capacity of Kibale's forest. Selective logging
effects may also interact with effects from other global trends,
potentially causing major long-term shifts in the dynamics of tropical
forests. Similar studies in tropical forests elsewhere will help
determine the generality of these conclusions. Ultimately,<b> the view
that selective logging is a benign approach to the management of
tropical forests should be reconsidered</b> in the light of studies of
the effects of this practice on long-term forest
dynamics.</font></div>
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<br>
William James (1842 -1910)</font></div>
<div><font face="Bookman Old Style" color="#000000"><i>Pragmatism</i>.
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