Correction: Chatziathanasiou et al. Crown Width–Tree Height Models for Magnolia grandiflora, Prunus cerasifera, and Acer negundo Growing in Cities in Northeastern Greece. Land 2024, 13, 1579

Chatziathanasiou, Styliani; Kitikidou, Kyriaki; Milios, Elias

doi:10.3390/land15030473

Error in Table

In Table 1 [1], the model forms for Models 6, 7, 9, 10, and 11 were published incorrectly, and this causes (a) the wrong equation form to appear for Model 7 in Tables 4, 6, 7 and 9; (b) the wrong equation form to appear for Model 11 in Table 5. The corrected Table 1, Table 4, Table 5, Table 6, Table 7 and Table 9 appears below.

Table 1. Regression models tested for CW-H fitting.

Consequential corrections (due to the Table 1 error):

Table 4. Selected models and model criteria for the M. grandiflora, P. cerasifera, and A. negundo CW-H regressions in Kavala city.

Species	Selected Model	Comparison Criteria
Species	Selected Model	R²	SEE	RMSE
M. grandiflora	2. CW = b₀ + b₁lnH CW = −1.906 + 3.691lnH	0.74	0.7780	0.7668
P. cerasifera	5. CW = b₀ + b₁H+ b₂H² + b₃H³ CW = −7.871 + 6.661H − 1.225H² + 0.077H³	0.61	0.7291	0.7102
A. negundo	7. $\hat{C W} = b_{0} H^{b_{1}}$ CW = 0.368 $\times$ H^1.401	0.77	1.0228	1.0115

Table 5. Selected models and model criteria for the M. grandiflora, P. cerasifera, and A. negundo CW-H regressions in Xanthi city.

Species	Selected Model	Comparison Criteria
Species	Selected Model	R²	SEE	RMSE
M. grandiflora	3. CW = b₀ + $\frac{b_{1}}{H}$ CW = 7.280 − $\frac{16.672}{H}$	0.60	0.7982	0.7839
P. cerasifera	3. CW = b₀ + $\frac{b_{1}}{H}$ CW = 8.278 − $\frac{19.506}{H}$	0.73	0.9320	0.9184
A. negundo	11. $\hat{C W} = \frac{1}{\frac{1}{u} + b_{0} {b_{1}}^{H}}$ CW = $\frac{1}{\frac{1}{10.10} + 0.469 \times {0.774}^{H}}$	0.69	0.9069	0.8927

Table 6. Selected models and model criteria for the M. grandiflora and P. cerasifera CW-H regressions in Komotini city.

Species	Selected Model	Comparison Criteria
Species	Selected Model	R²	SEE	RMSE
M. grandiflora	3. CW = b₀ + $\frac{b_{1}}{H}$ CW = 7.394 − $\frac{14.882}{H}$	0.66	1.0388	1.0131
P. cerasifera	7. $\hat{C W} = b_{0} H^{b_{1}}$ CW = 0.224 $\times$ H^1.712	0.71	1.1755	1.2453

Table 7. Selected models and model criteria for the M. grandiflora and P. cerasifera CW-H regressions in Alexandroupoli city.

Species	Selected Model	Comparison Criteria
Species	Selected Model	R²	SEE	RMSE
M. grandiflora	4. CW = b₀ + b₁H+ b₂H² CW = −1.685 + 1.538H − 0.082H²	0.81	0.6327	0.6236
P. cerasifera	7. $\hat{C W} = b_{0} H^{b_{1}}$ CW = 0.707 $\times$ H^0.951	0.79	0.5201	0.5165

Table 9. Selected models and model criteria for the M. grandiflora, P. cerasifera, and A. negundo CW-H regressions, using the total dataset for the 5 cities (Komotini was not included in the dataset for A. negundo).

Species	Selected Model	Comparison Criteria
Species	Selected Model	R²	SEE	RMSE
M. grandiflora	5. CW = b₀ + b₁H + b₂H² + b₃H³ CW = −2.872 + 2.218H − 0.199H² + 0.006H³	0.72	0.7890	0.7864
P. cerasifera	4. CW= b₀ + b₁H + b₂H² CW = −2.551 + 1.813H − 0.091H²	0.71	0.9703	0.9669
A. negundo	7. $\hat{C W} = b_{0} H^{b_{1}}$ CW = 0.676 $\times$ H^1.123	0.75	1.2221	1.2238

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

Chatziathanasiou, S.; Kitikidou, K.; Milios, E. Crown Width–Tree Height Models for Magnolia grandiflora, Prunus cerasifera, and Acer negundo Growing in Cities in Northeastern Greece. Land 2024, 13, 1579. [Google Scholar] [CrossRef] [Scilit]

Table 1. Regression models tested for CW-H fitting.

Νο	Model Name	Model
1	Linear	$\hat{C W} = b_{0} + b_{1} H$
2	Logarithmic	$\hat{C W} = b_{0} + b_{1} \ln H$
3	Inverse	$\hat{C W} = b_{0} + \frac{b_{1}}{H}$
4	Quadratic	$\hat{C W} = b_{0} + b_{1} H + b_{2} H^{2}$
5	Cubic	$\hat{C W} = b_{0} + b_{1} H + b_{2} H^{2} + b_{3} H^{3}$
6	Compound	$\hat{C W} = b_{0} {b_{1}}^{H}$
7	Power	$\hat{C W} = b_{0} H^{b_{1}}$
8	S-curve	$\hat{C W} = e^{b_{0} + \frac{b_{1}}{H}}$
9	Growth	$\hat{C W} = e^{b_{0} + b_{1} H}$
10	Exponential	$\hat{C W} = b_{0} e^{b_{1} H}$
11	Logistic	$\hat{C W} = \frac{1}{\frac{1}{u} + b_{0} {b_{1}}^{H}}$

\hat{C W}

: estimated crown width (m); H: observed total height (m); b_i: regression coefficients; u: upper boundary value = max observed CW, rounded up.

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