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Feldpausch et al. [56],[57] found that an additional source of error in AGB estimates results from the exclusion of height as a predictor variable in allometric models.
As our study only includes trees with a DBH ≥ 30 cm, we believe that the exclusion of height in the models applied to estimate AGB will not greatly increase the error of the reported values.
Reasons for exclusion of height and weight were; refusals, cases where it was not physically practical to take a measurement (e.g. person on crutches or in a wheelchair).
Feldpausch et al. [ 56, 57] found that an additional source of error in AGB estimates results from the exclusion of height as a predictor variable in allometric models.
As our study only includes trees with a DBH ≥ 30 cm, we believe that the exclusion of height in the models applied to estimate AGB will not greatly increase the error of the reported values.
Similar(55)
Inclusion versus exclusion of adult height, which might be on the causal pathway between adolescent diet and adult health, did not substantially alter the results reported.
It was also found that the number of birds on a plot decreased with invertebrate biomass after exclusion of the vegetation height effect.
Limitations of the spinal decompression system also led to the exclusion of patients with extremes of height (< 147 cm or > 203 cm) and body weight (> 136 kg).
Exclusion implies that the potential outcomes, at any height h, are unchanged by the presence or absence of the genetic variant.
Exclusion of UV significantly enhanced plant height, tiller number, flag-leaf area, dry matter accumulation and yield parameters like number of grains and grain yield in all the four wheat varieties tested.
The reasons speaking for the exclusion of features like skin color, height, sex and parentage as discriminatory apply equally to other natural human qualities like intellegence, appearance, physical strength, and so forth that are often chosen as criteria for distribution.
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