Polymorphic Site Model for Chinese Fir in Zhejiang Province

Zheng Yongping; Zeng Jianfu; Wang Hemu; Shi Bailin; Yu Qionghua

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Volume 10 Issue 1

May 2019

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Article Navigation > Journal of Zhejiang A&F University > 1993 > 10(1): 55-62

Zheng Yongping, Zeng Jianfu, Wang Hemu, Shi Bailin, Yu Qionghua. Polymorphic Site Model for Chinese Fir in Zhejiang Province[J]. Journal of Zhejiang A&F University, 1993, 10(1): 55-62.

Citation:

Zheng Yongping, Zeng Jianfu, Wang Hemu, Shi Bailin, Yu Qionghua. Polymorphic Site Model for Chinese Fir in Zhejiang Province[J]. Journal of Zhejiang A&F University, 1993, 10(1): 55-62.

Polymorphic Site Model for Chinese Fir in Zhejiang Province

1.
Zhejiang Forestry College, Lin'an 311300, PRC

Received Date: 1991-12-20
Publish Date: 1993-03-20

Abstract

On the basis of establishingheight growth models adapting Richards function as a basic model for six-five dominant treescollected from Chinese fir stands in Zhejiang Province, this papercompilesthe polymorphic site index table of the stands by the estimating parameter method. The comparison with the monomorphic modelin Zhejiang Province shows that the fitting and predicting precision of polymorphic site index model both are obviosly higher than those of the monomorphic model.
- Chinese fir (Cuninghamia lanceolata Hook.),
- locality class,
- modilling,
- Richards function,
- Zhejiang Province

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Polymorphic Site Model for Chinese Fir in Zhejiang Province

1. Zhejiang Forestry College, Lin'an 311300, PRC

Received Date: 1991-12-20
Publish Date: 1993-03-20

Key words:

Chinese fir (Cuninghamia lanceolata Hook.) /
locality class /
modilling /
Richards function /
Zhejiang Province

Abstract: On the basis of establishingheight growth models adapting Richards function as a basic model for six-five dominant treescollected from Chinese fir stands in Zhejiang Province, this papercompilesthe polymorphic site index table of the stands by the estimating parameter method. The comparison with the monomorphic modelin Zhejiang Province shows that the fitting and predicting precision of polymorphic site index model both are obviosly higher than those of the monomorphic model.

Zheng Yongping, Zeng Jianfu, Wang Hemu, Shi Bailin, Yu Qionghua. Polymorphic Site Model for Chinese Fir in Zhejiang Province[J]. Journal of Zhejiang A&F University, 1993, 10(1): 55-62.

Citation:

Zheng Yongping, Zeng Jianfu, Wang Hemu, Shi Bailin, Yu Qionghua. Polymorphic Site Model for Chinese Fir in Zhejiang Province[J]. Journal of Zhejiang A&F University, 1993, 10(1): 55-62.

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