Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the patents they file to protect their innovations also p...
Main Authors: | Hinsley, A, Challender, DWS, Masters, S, Macdonald, DW, Milner-Gulland, EJ, Fraser, J, Wright, J |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Nature Research
2024
|
Similar Items
-
Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
by: Hinsley, AE, et al.
Published: (2024) -
Code supporting “Early-warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing”.
by: Hinsley, A, et al.
Published: (2024) -
Illegal wildlife trade: Scale, processes, and governance
by: ‘T Sas-Rolfes, M, et al.
Published: (2019) -
Mischaracterising wildlife trade and its impacts may mislead policy processes
by: Challender, DWS, et al.
Published: (2021) -
Use of evidence for decision-making by conservation practitioners in the illegal wildlife trade
by: Arias, M, et al.
Published: (2021)