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We analyzed responses of canopy arthropods on seven representative early and late successional overstory and understory tree species to a canopy trimming experiment designed to separate effects of canopy opening and debris pulse (resulting from hurricane disturbance) in a tropical rainforest ecosystem at the Luquillo Experimental Forest Long-Term Ecological Research LTERR) site in Puerto Rico.
The Canopy Trimming Experiment (CTE) was designed to simulate the major effects of hurricane disturbance, and disentangle the effects of canopy opening and debris addition on forest biology and biogeochemistry following a hurricane.
In this first article of the special issue, we (1) provide details of the design and methodology for this manipulative experiment (the Canopy Trimming Experiment, CTE), (2) report some principal abiotic responses to treatments, and (3) introduce the subject areas of the 12 additional CTE manuscripts in this special issue.
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Trimming experiments were conducted on sheet metals including two drawing steels, an aluminum alloy and a magnesium alloy, using a specially designed die in a mechanical press.
For initial trimming experiments, we varied these quality thresholds as indicated below.
Using an iterative procedure, the trim-and-fill method begins by trimming experiments from the extreme right end of the plot (i.e., the smallest studies with the largest effect sizes) and then calculating a new mean effect size.
For the first prediction, we simulated a whisker-trimming experiment by depriving whisker input to a chessboard configuration of the barrels [36] (see Fig. 7a).
But what about trimming the results of experiments so that they support a desired conclusion?
By comparison, Schmidt's fellow Kiwi, Vern Cotter, was starting the process of trimming the Scotland squad; experimenting but at the same time hoping to banish memories of the 40-10 drubbing on the final day of the Six Nations.
This high percentage of true miRNAs showed that inefficient amplification, sequencing or trimming errors did not affect our experiment [ 45].
Kernel matching is used, imposing common support.20 Other matching estimators have been experimented with (Kernel with trimming, one-to-one matching, nearest neighbour, radius caliper, and local linear) – but the results did not vary substantially with these different estimators.
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