Hasil Pencarian - Yongbiao Lin

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  1. 1
    Seasonal drought may alter N availability but not water use efficiency of dominant trees in a subtropical forest

    Seasonal drought may alter N availability but not water use efficiency of dominant trees in a subtropical forest oleh Songbo Tang, Yimin Xu, Yongbiao Lin, Enqing Hou, Weijun Shen, Jun Wang, Yuanwen Kuang

    Diterbitkan 2018-10-01
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  2. 2
    Maintenance of a living understory enhances soil carbon sequestration in subtropical orchards.

    Maintenance of a living understory enhances soil carbon sequestration in subtropical orchards. oleh Zhanfeng Liu, Yongbiao Lin, Hongfang Lu, Mingmao Ding, Yaowen Tan, Shejin Xu, Shenglei Fu

    Diterbitkan 2013-01-01
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  3. 3
    Negative effects of canopy N addition on soil organic carbon in wet season are primarily detected in uppermost soils of a subtropical forest

    Negative effects of canopy N addition on soil organic carbon in wet season are primarily detected in uppermost soils of a subtropical forest oleh Xiaofei Lu, Wendan Ren, Enqing Hou, Lingling Zhang, Dazhi Wen, Zhanfeng Liu, Yongbiao Lin, Jun Wang, Yuanwen Kuang

    Diterbitkan 2019-01-01
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  4. 4
    Mixed-Species <i>Acacia</i> Plantation Decreases Soil Organic Carbon and Total Nitrogen Concentrations but Favors Species Regeneration and Tree Growth over Monoculture: A Thirty-Three-Year Field Experiment in Southern China

    Mixed-Species <i>Acacia</i> Plantation Decreases Soil Organic Carbon and Total Nitrogen Concentrations but Favors Species Regeneration and Tree Growth over Monoculture: A Thirty-Th... oleh Shengnan Ouyang, Liehua Tie, Xingquan Rao, Xi’an Cai, Suping Liu, Valentina Vitali, Lanying Wei, Qingshui Yu, Dan Sun, Yongbiao Lin, Arun K. Bose, Arthur Gessler, Weijun Shen

    Diterbitkan 2023-05-01
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  5. 5
    An alternative approach to reduce algorithm‐derived biases in monitoring soil organic carbon changes

    An alternative approach to reduce algorithm‐derived biases in monitoring soil organic carbon changes oleh Weixin Zhang, Yuanqi Chen, Leilei Shi, Xiaoli Wang, Yongwen Liu, Rong Mao, Xingquan Rao, Yongbiao Lin, Yuanhu Shao, Xiaobo Li, Cancan Zhao, Shengjie Liu, Shilong Piao, Weixing Zhu, Xiaoming Zou, Shenglei Fu

    Diterbitkan 2019-07-01
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