Data-driven optimisation of national botanical garden systems for ex situ conservation.
Name
1-s2.0-S0006320726000704-main.pdf
Description
visibility:open
Size
5 MB
Format
Adobe PDF
Checksum (CRC64NVME)
1nkQgC7SR5c=
Resource type
Journal article
Date published
February 20, 2026
Organisational unit
Science
Project(s)
Priority 5: Enhanced Partnerships
Science Operations
Funder
| Funder name | ISNI | Awards |
Science, Technology and Innovation Commission of Shenzhen Municipality, China | 20220816162653003 - 202206193000001 | |
National Natural Science Foundation of China, China | 32270233 | |
Vetenskapsrådet, Sweden | 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 | President's International Fellowship Initiative | |
Stiftelsen för Miljöstrategisk Forskning, Sweden | Project BioPath | |
Royal Botanic Gardens, Kew, United Kingdom | ||
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
Rights statement
In Copyright
Licence
CC BY 4.0
Alternate identifier
S0006320726000704
111762
Additional information
IF = 4.4 (2024)
