Estimating the productive potential of five natural forest types in northeastern China

Forest Ecosystems

Table 4 Bias estimates of the four models for the different forest types

Bias	N	Trees	Base model		Base model + H_dom		Base model + climate		Base model + H_dom & climate
Bias	N	Trees	Eq. 1	Eq. 2	Eq. 1	Eq. 2	Eq. 1	Eq. 2	Eq. 1	Eq. 2
All	384	30,135	−0.333	0.983	0.090	0.583	0.550	0.910	−0.043	0.556
Broad-leaved mixed forest	192	15,284	−0.441	0.717	−0.264	0.479	0.263	0.678	−0.214	0.464
Mixed broadleaf-conifer forest	30	2748	−1.218	0.932	−0.668	0.601	2.764	0.652	0.735	0.566
Mongolian oak forest	92	7097	−0.097	1.104	0.004	0.433	−0.845	0.880	−0.242	0.404
Larch forest	37	2314	−0.280	0.418	−0.245	0.314	−0.077	0.428	−0.183	0.280
Birch forest	33	2692	−0.217	0.446	−0.171	0.446	0.188	0.430	−0.114	0.431

Bold numbers indicate the lowest bias value of each equation across all of the models for a given forest type