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  5. Data-driven optimisation of national botanical garden systems for ex situ conservation.

Data-driven optimisation of national botanical garden systems for ex situ conservation.

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Resource type
Journal article
Creator (person)
Zhan, Yueling
Fan, Minhong
Yang, Xian
Pan, Xiaotian
Sun, Miao
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more
Date published
February 20, 2026
Organisational unit
Science
Project(s)
Priority 5: Enhanced Partnerships
Science Operations
Funder
Funder nameISNIAwards
Science, Technology and Innovation Commission of Shenzhen Municipality, China
20220816162653003 - 202206193000001
National Natural Science Foundation of China, China
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32270233
Vetenskapsrådet, Sweden
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2024-04303
National Key Research and Development Program of China
2022YFF0802300
Ministry of Science and Technology of the People's Republic of China, China
Chinese Academy of Sciences, China
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President's International Fellowship Initiative
Stiftelsen för Miljöstrategisk Forskning, Sweden
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Project BioPath
Royal Botanic Gardens, Kew, United Kingdom
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Journal title
Biological Conservation
Volume
316
Article number
111762
Publisher
Elsevier BV
Place of publication
Amsterdam, Netherlands
ISSN
0006-3207
eISSN
1873-2917
Date accepted
February 13, 2026
Official URL
https://doi.org/10.1016/j.biocon.2026.111762
Related URL
https://linkinghub.elsevier.com/retrieve/pii/S0006320726000704
Rights statement
In Copyright
Licence
CC BY 4.0
DOI
10.1016/j.biocon.2026.111762
Alternate identifier
S0006320726000704
111762
Keywords
Botanic gardens
National botanical garden systems
Biodiversity
Complementarity
Spatial optimisation
Ex situ conservation
Conservation planning
Additional information
IF = 4.4 (2024)
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