ChenJiangCaiEtAl2018

Référence

Chen, S., Jiang, H., Cai, Z., Zhou, X., Peng, C. (2018) The response of the net primary production of Moso bamboo forest to the On and Off-year management: A case study in Anji County, Zhejiang, China. Forest Ecology and Management, 409:1-7. (Scopus )

Résumé

The On and Off-year management affects the carbon sequestration capacity and carbon allocation of Moso bamboo forest. However, to date, the impact of the On and Off-year management on stand-scale NPP has not been estimated. This paper used the Triplex-Flux model to estimate the 30-min averaged net primary production (NPP) and carbon use efficiency (CUE) of the Moso bamboo stand in Anji during the period 2011–2014. Comparison of the simulated NEP and NPP with the observed NEP from the eddy covariance measurements and the NPP from the previous studies in Moso bamboo forest showed that the Triplex-Flux model was suitable for NPP and CUE estimation in the Moso bamboo stand in Anji County. The annual averaged NPP and CUE were 835.58 g C m–2 year–1 and 0.53 year–1, which were higher than those of the other forest types in subtropical China. In Anji County, the On and Off-year management affects the NPP and CUE of Moso bamboo forest. Overall, the NPP and CUE in the On-year were higher than those in the Off-year. The selective bamboo cutting and culm sheaths hooking that lasts from September of the On-year to February of the Off-year reduced the NPP and CUE of Moso bamboo forest by 25.81% and 14.93%. The fresh bamboo shoots harvest in the Off-year significantly reduced the NPP and CUE of Moso bamboo forest by 40.17% and 16.36%. © 2017 Elsevier B.V.

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@ARTICLE { ChenJiangCaiEtAl2018,
    AUTHOR = { Chen, S. and Jiang, H. and Cai, Z. and Zhou, X. and Peng, C. },
    TITLE = { The response of the net primary production of Moso bamboo forest to the On and Off-year management: A case study in Anji County, Zhejiang, China },
    JOURNAL = { Forest Ecology and Management },
    YEAR = { 2018 },
    VOLUME = { 409 },
    PAGES = { 1-7 },
    NOTE = { cited By 0 },
    ABSTRACT = { The On and Off-year management affects the carbon sequestration capacity and carbon allocation of Moso bamboo forest. However, to date, the impact of the On and Off-year management on stand-scale NPP has not been estimated. This paper used the Triplex-Flux model to estimate the 30-min averaged net primary production (NPP) and carbon use efficiency (CUE) of the Moso bamboo stand in Anji during the period 2011–2014. Comparison of the simulated NEP and NPP with the observed NEP from the eddy covariance measurements and the NPP from the previous studies in Moso bamboo forest showed that the Triplex-Flux model was suitable for NPP and CUE estimation in the Moso bamboo stand in Anji County. The annual averaged NPP and CUE were 835.58 g C m–2 year–1 and 0.53 year–1, which were higher than those of the other forest types in subtropical China. In Anji County, the On and Off-year management affects the NPP and CUE of Moso bamboo forest. Overall, the NPP and CUE in the On-year were higher than those in the Off-year. The selective bamboo cutting and culm sheaths hooking that lasts from September of the On-year to February of the Off-year reduced the NPP and CUE of Moso bamboo forest by 25.81% and 14.93%. The fresh bamboo shoots harvest in the Off-year significantly reduced the NPP and CUE of Moso bamboo forest by 40.17% and 16.36%. © 2017 Elsevier B.V. },
    AFFILIATION = { College of Economics and Management, Nanjing Forestry University, Nanjing, China; International Institute for Earth System Science, Nanjing University, Nanjing, China; Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montreal, Quebec, Canada },
    AUTHOR_KEYWORDS = { CUE; Moso bamboo; NPP; On and Off-year management; Triplex-Flux },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.foreco.2017.11.008 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033363374&doi=10.1016%2fj.foreco.2017.11.008&partnerID=40&md5=c826f06f65c8b5e2a033def698499e84 },
}

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