Sentence examples for varying stand from inspiring English sources

In this contribution, we investigated the influence of the extent on the representativeness of mean throughfall estimates for three forest ecosystems of varying stand structure.

The Farr plots were established to examine growth and yield and how regenerating forest stands were impacted by light (mean 47.7%% BA removal); medium (mean 60.9%% BA removal); and heavy (mean 73.5%% BA removal), thinning at varying stand ages across varying productivity classes (Fig. 1).

The development of an additive multiple-attribute utility model for the evaluation of two timber harvesting systems for thinning operations in steep terrain under varying stand conditions for uphill and downhill extraction is described.

The Farr plots were established to examine growth and yield and how regenerating forest stands were impacted by light (mean 47.7%% BA removal); medium (mean 60.9%% BA removal); and heavy (mean 73.5%% BA removal), thinning at varying stand ages across varying productivity classes (Fig.  1).

Mrs. Clinton, of New York, has also taken varying stands on the issue of gas taxes.

The varying stands taken by the unions highlight the difficulties that often prevent management and labor from working together in the airline industry.

The parameters in the model were estimated using the SAS MIXED procedure, with local stand parameter L i treated as a normally distributed random term varying between stand with variance ( {sigma}_{s tan d}^2 ), a tree effect T ij treated as a normally distributed random term with variance ( {sigma}_{treeleft(s tan dright)}^2 ), and a within-tree error term e ijk with variance ( {sigma}_e^2 ).

This has given way, over the past several decades, to the idea that one domain can, to varying degrees, stand in for another.

(a) and (b) show simple structures with only one layer and one species but varying in stand density.

The burner stabilized flame configuration can be efficiently used to study different aspects of chemical kinetics by varying the stand-off distance, pressure, temperature of the burner and mixture compositions.

The parameters in the model were estimated using the SAS NLMIXED procedure, with L i treated as a normally distributed random term varying between stands with variance ( {sigma}_{s tan d}^2 ), and a within-radial error term e iR with variance ( {sigma}_e^2 ).