An optimal proportion of mixing broad-leaved forest for enhancing the effective productivity of moso bamboo.

Cheng, Xiao-Fei; Shi, Pei-Jian; Hui, Cang; Wang, Fu-Sheng; Liu, Guo-Hua; Li, Bai-Lian

Cheng, Xiao-Fei; Shi, Pei-Jian; Hui, Cang; Wang, Fu-Sheng; Liu, Guo-Hua; Li, Bai-Lian.

Afiliación

Cheng XF; Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Bamboo Research Institute, Nanjing Forestry University Nanjing, 210037, China.
Shi PJ; Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Bamboo Research Institute, Nanjing Forestry University Nanjing, 210037, China.
Hui C; Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University Matieland, 7602, South Africa ; Mathematical and Physical Biosciences, African Institute for Mathematical Sciences Cape Town, 7945, South Africa.
Wang FS; Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Bamboo Research Institute, Nanjing Forestry University Nanjing, 210037, China.
Liu GH; Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Bamboo Research Institute, Nanjing Forestry University Nanjing, 210037, China.
Li BL; Ecological Complexity and Modeling Laboratory, Department of Botany and Plant Sciences, University of California Riverside, California, 92521-0124.

Ecol Evol ; 5(8): 1576-84, 2015 Apr.

Article en En | MEDLINE | ID: mdl-25937902

Palabras clave

Biomass; environmental factors; generalized additive model; linear regression model; productivity

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2015 Tipo del documento: Article País de afiliación: China

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