Potential of urban forest structural diversity to predict species diversity based on “air-ground” data: A case of Harbin

Wang Lei, Jia Jia, Zhai Yalin, Jing Zhongwei, Xu Dawei, Yao Yunlong

GEOGRAPHICAL SCIENCE ›› 2024, Vol. 44 ›› Issue (8) : 1481-1491.

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GEOGRAPHICAL SCIENCE ›› 2024, Vol. 44 ›› Issue (8) : 1481-1491. DOI: 10.13249/j.cnki.sgs.20240031

Potential of urban forest structural diversity to predict species diversity based on “air-ground” data: A case of Harbin

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 44(8): 1481-1491 https://doi.org/10.13249/j.cnki.sgs.20240031

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