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秦炜锐, 刘景怡, 宋心强, 等. 大熊猫国家公园荥经片区大熊猫可食竹生物量模型[J]. 四川林业科技, 2024, 45(3): 87−93. DOI: 10.12172/202309070001
引用本文: 秦炜锐, 刘景怡, 宋心强, 等. 大熊猫国家公园荥经片区大熊猫可食竹生物量模型[J]. 四川林业科技, 2024, 45(3): 87−93. DOI: 10.12172/202309070001
QIN W R, LIU J Y, SONG X Q, et al. Biomass model of edible bamboo for the giant panda in Yingjing Area of Giant Panda National Park[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(3): 87−93. DOI: 10.12172/202309070001
Citation: QIN W R, LIU J Y, SONG X Q, et al. Biomass model of edible bamboo for the giant panda in Yingjing Area of Giant Panda National Park[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(3): 87−93. DOI: 10.12172/202309070001

大熊猫国家公园荥经片区大熊猫可食竹生物量模型

Biomass model of edible bamboo for the giant panda in Yingjing Area of Giant Panda National Park

  • 摘要: 2023年4月在大熊猫(Ailuropoda melanoleuca)国家公园荥经片区不同森林类型下随机抽样,测量记录不同的大熊猫可食竹的生长指标和生物量,通过回归的方法建立大熊猫可食竹生物量模型。结果表明:除冷箭竹(Arundinaria faberi)叶外,以高度和基径为自变量的泥巴山筇竹(Qiongzhuea multigemmia)、短锥玉山竹(Yushania brevipaniculata)和八月竹(Chimonobambusa szechuanensis)不同构件生物量模型均具有统计学意义,其中泥巴山筇竹秆生物量模型和地上生物量模型的拟合效果相对最佳。研究结果对大熊猫国家公园荥经片区大熊猫可食竹生物量调查、种群恢复与栖息地现状评估具有一定的参考价值。

     

    Abstract: In April 2023, the growth index and biomass of different edible bamboos of giant panda were measured and recorded by random sampling under different forest types in the Yingjing area of Giant Panda National Park, and the edible bamboo biomass model of giant panda was established by regression method. The results showed that except for the leaves of Arundinaria faberi, the biomass models of different components of Qiongzhuea multigemmia, Yushania brevipaniculata, Chimonobambusa szechuanensis, with height and basal diameter as independent variables, were statistically significant, among which the biomass models of Qiongzhuea multigemmia stem and aboveground biomass were the best. The results of the study have certain reference value for the investigation of edible bamboo biomass, population recovery and habitat status assessment of giant pandas in the Yingjing area of Giant Panda National Park.

     

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