Selection criteria for linear regression models to estimate individual tree biomasses in the Atlantic Rain Forest, Brazil

Table 1 Data source for fitting linear regression models to biomass estimation of different woody species indigenous of the Tropical Atlantic Rain Forest, Brazil

Data set	n	Location UTM (m)	Mean ± S.D. of biomass	CV (%)	SE (%)	95% confidence interval
1. M. skvortzovii Sendulsky bamboo growing in natural forest^a	30	General Carneiro, Paraná State 457.589–467.617 7.085.594–7.075.828	0.26 ± 0.13	49.63	18.53	0.21–0.31
2. M. skvortzovii Sendulsky bamboo growing in natural forest^b	30		260.59 ± 129.32	49.53	18.53	212.30–308.87
3. Native mixed-species natural stand^a	30		1493.24 ± 1449.87	97.10	36.26	951.84–2034.63
4. Mixed-species restoration plantation (complete series)^c	180	Seropédica, Rio de Janeiro State 637.586–640.342 7.484.977–7.483.459	16.95 ± 23.87	70.02	26.14	12.51–21.38
5. Mixed-species restoration plantation (reduced series with outliers)^c	30		59.64 ± 32.36	54.25	20.26	47.56–71.73
6. Mixed-species restoration plantation^c (reduced series without outliers)	30		43.40 ± 21.96	50.60	18.90	35.20–51.60

CV (%) = coefficient of variation, SE (%) = sampling error. 95% confidence interval
^aAboveground biomass in kg
^bAboveground biomass in g
^cAboveground + belowground biomass in kg

ISSN: 1750-0680