European Journal of Forest Research, Journal Year: 2018, Volume and Issue: 137(2), P. 153 - 167
Published: Jan. 30, 2018
Language: Английский
European Journal of Forest Research, Journal Year: 2018, Volume and Issue: 137(2), P. 153 - 167
Published: Jan. 30, 2018
Language: Английский
Forest Ecology and Management, Journal Year: 2021, Volume and Issue: 496, P. 119407 - 119407
Published: June 5, 2021
Language: Английский
Citations
23Forest Ecology and Management, Journal Year: 2021, Volume and Issue: 491, P. 119091 - 119091
Published: March 31, 2021
Language: Английский
Citations
22Forest Ecology and Management, Journal Year: 2018, Volume and Issue: 427, P. 372 - 382
Published: June 23, 2018
Language: Английский
Citations
27Forestry An International Journal of Forest Research, Journal Year: 2018, Volume and Issue: 91(4), P. 419 - 433
Published: Jan. 9, 2018
Accurate estimates of forest site productivity are an essential part management. Only a few approaches exist for estimating natural uneven-aged forests. This study compared two approaches: dominant height (DH)–dominant diameter (DD) modelling and DH–stand age (A) in terms their prediction accuracy productivity. We developed the models based on both algebraic difference approach (ADA) ADA with mixed-effects modelling. Data originated from four sets continuous measurements Mongolian Oak (Quercus mongolica Fisch.) Korean Larch (Larix olgensis Henry.) northeastern China. The leave-one-out cross-validation was applied to evaluate models. results showed that accuracies DH–DD were significantly higher than DH–A inclusion block-level random effects increased Compared models, did not require which is time-consuming difficult, but DD DH available routine inventories compatible existing inventory data. Therefore, nonlinear recommended estimate
Language: Английский
Citations
26European Journal of Forest Research, Journal Year: 2018, Volume and Issue: 137(2), P. 153 - 167
Published: Jan. 30, 2018
Language: Английский
Citations
25