IntensIve sIlvIculture - Forest Science Labs - Research Network ...
IntensIve sIlvIculture - Forest Science Labs - Research Network ...
IntensIve sIlvIculture - Forest Science Labs - Research Network ...
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156<br />
growth<br />
Abstract: Organic matter and N were added to humus pools of the LINKAGES simulator<br />
of forest growth and N cycling at a range of application rates to investigate long-term effects of<br />
biosolids (sewage sludge) on forest productivity. The simulation was done for 2 conifer<br />
plantations (Douglas fir, Pseudotsuga menziesii var. menziesii on the coast range of Washington<br />
state, USA; and loblolly pine, Pinus taeda on the Piedmont soils of Georgia) and a northern<br />
hardwood forest located in New Hampshire. Single applications of biosolids were given at 0, 5,<br />
10, 20, and 40 Mg/ha, and multiple applications on 7 occasions at 3-yr intervals at rates of 5 and<br />
10 Mg/ha. Highly significant increases in aboveground phytomass and net primary productivity<br />
of Douglas fir plantations were obtained in a 100-yr simulation with increasing biosolids<br />
application rates. Results for loblolly pine from a 50-yr simulation produced about half the<br />
growth response of Douglas fir. Long-term simulations of northern hardwoods showed modest<br />
growth responses and small increases in NPP (net primary productivity) with added biosolids.<br />
The phytomass of one overstorey and 3 understorey species in the hardwood forest changed in<br />
response to different biosolids applications and varying species sensitivity to N supply. It is<br />
concluded that biosolids are a significant resource for enhancing forest productivity, particularly<br />
in conifer plantations. Estimates of N leaching losses from simulated forest sites combined with a<br />
literature review of leaching losses suggest that biosolids applications at 3-yr intervals with rates<br />
less than 8.5 Mg/ha (0.4 Mg N/ha) during active forest growth may pose little off-site<br />
contamination risk to ground water or surface waters.<br />
353. MacDonald, J.E. 1996. Early development of bud dormancy in conifer seedlings. In Plantdormancy:-physiology,-biochemistry-and-molecular-biology<br />
Ed. G.A. Lang. Wallingford, UK:<br />
CAB INTERNATIONAL. pp. 193-199.<br />
Keywords: nursery operations<br />
tree phenology<br />
Abstract: A study is reported on 1-yr-old coastal Douglas fir (Pseudotsuga menziesii var.<br />
menziesii) nursery seedlings on Vancouver Island, British Columbia, with the aim of determining<br />
whether there was a difference in dormancy development in response to short-day or moderate<br />
moisture stress treatments. Successful dormancy induction was obtained during the first week of<br />
both types of treatment, but the phenology of dormancy development was different, being earlier<br />
in the short-day treatment. Of the short-day treatments tested (3-6 wk), dormancy development<br />
was earliest for the 4-wk duration.<br />
354. Magnussen, S. and F.C. Sorensen. 1991. Outliers in forest genetics trials: an example of analysis<br />
with truncated data. Scandinavian-Journal-of-<strong>Forest</strong>-<strong>Research</strong> 6(3): 335-352.<br />
Keywords: genetic tree improvement<br />
genetic relationships<br />
Abstract: Previously published data for distribution of height in a Douglas fir (Pseudotsuga<br />
menziesii) progeny trial in the Oregon Cascades with open (wind) pollinated (OP) and control<br />
pollinated (CP) progenies showed an excess of short trees, especially in OP (inbred) progeny,<br />
compared with a normally distributed population. Short trees had a disproportionate influence on<br />
variance components and heritability estimates. Data truncation of potential outliers was carried<br />
out with varying intensity in order to investigate its influence on genetic parameter estimates.<br />
Truncation was done by either fixed threshold values or by a proportional elimination of trees<br />
from below. Truncated data was analysed either directly or subsequent to a maximum likelihood