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

SCIENTIA GEOGRAPHICA SINICA ›› 2024, Vol. 44 ›› Issue (8) : 1481-1491.

PDF(4091 KB)
EN中文
PDF(4091 KB)
SCIENTIA GEOGRAPHICA SINICA ›› 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

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

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

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(4091 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉