Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu-Tascedilla˜ köprü region of Turkey.
Some dynamic site index models based on the generalized algebraic difference approach
(GADA) were fitted for Crimean pine (Pinus nigra JF Arnold subsp. pallasiana (Lamb.)
Holmboe) stands in Tascedilla˜ köprü, Turkey. Data were obtained from 132 dominant trees
representing the wide range of site quality in the region. Nonlinear regression analysis and
a second-order continuous-time autoregressive error structure were applied. After
autoregressive modeling, the fitted models were evaluated both statistically and graphically …
(GADA) were fitted for Crimean pine (Pinus nigra JF Arnold subsp. pallasiana (Lamb.)
Holmboe) stands in Tascedilla˜ köprü, Turkey. Data were obtained from 132 dominant trees
representing the wide range of site quality in the region. Nonlinear regression analysis and
a second-order continuous-time autoregressive error structure were applied. After
autoregressive modeling, the fitted models were evaluated both statistically and graphically …
Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu–Taşköprü region of Turkey
Some dynamic site index models based on the generalized algebraic difference approach
(GADA) were fitted for Crimean pine (Pinus nigra JF Arnold subsp. pallasiana (Lamb.)
Holmboe) stands in Taşköprü, Turkey. Data were obtained from 132 dominant trees
representing the wide range of site quality in the region. Nonlinear regression analysis and
a second-order continuous-time autoregressive error structure were applied. After
autoregressive modeling, the fitted models were evaluated both statistically and graphically …
(GADA) were fitted for Crimean pine (Pinus nigra JF Arnold subsp. pallasiana (Lamb.)
Holmboe) stands in Taşköprü, Turkey. Data were obtained from 132 dominant trees
representing the wide range of site quality in the region. Nonlinear regression analysis and
a second-order continuous-time autoregressive error structure were applied. After
autoregressive modeling, the fitted models were evaluated both statistically and graphically …