Stand-level biomass models for predicting C stock for the main Spanish pine species

Forest Ecosystems

Table 4 Model errors calculated through Eqs. 7 to 12

sp	Model	ME	MAE	RMSE	MPE	MAPE	RMSPE
Ps	Basic	−0.026	11.280	14.592	−2.903	10.641	15.843
	Basic M	−0.010	11.183	14.477	−2.847	10.583	15.774
	vm	−0.039	8.711	11.444	−1.930	7.935	11.626
	Total	−0.046	8.679	11.384	−1.955	7.930	11.631
Pp	Basic	0.198	7.950	11.198	−2.173	10.916	15.593
	Basic M	0.198	7.950	11.198	−2.173	10.916	15.593
	vm	0.199	7.468	10.794	−1.894	10.135	14.625
	Total	−0.013	5.629	7.520	−1.919	7.695	11.066
Ph	Basic	0.064	3.899	5.922	−0.640	7.244	10.206
	Basic M	0.077	3.845	5.836	−0.517	7.208	10.118
	vm	0.095	3.609	5.082	−0.383	7.182	9.865
	Total	0.059	3.246	4.327	−0.374	6.456	8.388
Pn	Basic	−0.166	7.564	10.430	−2.108	7.964	10.803
	Basic M	−0.173	7.511	10.364	−2.108	7.892	10.670
	vm	−0.037	3.956	5.820	−0.783	4.249	6.254
	Total	−0.078	3.867	5.615	−0.949	4.224	6.110
Pt	Basic	−0.018	4.993	7.240	−1.002	5.244	7.278
	Basic M	−0.018	4.993	7.240	−1.002	5.244	7.278
	vm	−0.018	4.993	7.240	−1.002	5.244	7.278
	Total	−0.012	4.988	7.210	−0.965	5.224	7.219

sp, species as in Table 3. Model, names of models, Basic, Basic M, vm and Total correspond to Eqs. 4, 5, 6 and 8 respectively. ME mean error (Mg·ha^− 1), MAE mean absolute error (Mg·ha^− 1), RMSE Root mean square error (Mg·ha^− 1), MPE mean percentage error (%), MAPE mean absolute percentage error (%), RMSE Root mean square percentage error (%)