Journal article
Global Biodiversity Framework Targets Can Drive Action on Insect Declines, but Lack Robust Indicators to Prove Their Effectiveness
- Abstract:
- Insects are the most diverse and functionally important animals on Earth. In at least some regions, terrestrial populations are declining. Despite this, insects are often overlooked in conservation policy, and it is difficult to assess how anthropogenic threats and conservation actions affect insect populations. The Kunming‐Montreal Global Biodiversity Framework (GBF) aims to reduce pressures on biodiversity, increase conservation efforts, and reverse losses. At the International Congress on Conservation Biology in 2023, we convened a round table of specialist scientists and practitioners in insect ecology and conservation to explore how well the GBF addresses insect declines. We discussed and evaluated: (1) how well GBF targets could deliver for insects, and (2) whether the indicators proposed for monitoring progress would detect changes in the status of insects. We found that although the GBF's targets can drive action for insect recovery, almost none of the indicators can effectively measure progress for insects. We propose four principles to enhance the effectiveness of biodiversity policy for insects, and recommend the establishment of a global working group to develop insect‐focused indicators. If implemented effectively, such indicators could provide evidence of whether restoration and conservation actions are putting us on a path to recovery of global biodiversity.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 541.9KB, Terms of use)
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- Publisher copy:
- 10.1111/con4.70025
Authors
+ Natural Environment Research Council
More from this funder
- Funder identifier:
- https://ror.org/02b5d8509
- Publisher:
- Wiley
- Journal:
- Conservation Letters More from this journal
- Volume:
- 19
- Issue:
- 2
- Article number:
- e70025
- Publication date:
- 2026-03-18
- Acceptance date:
- 2026-01-09
- DOI:
- EISSN:
-
1755263X
- ISSN:
-
1755263X
- Language:
-
English
- Pubs id:
-
2396600
- Local pid:
-
pubs:2396600
- Source identifiers:
-
3865835
- Deposit date:
-
2026-03-18
- ARK identifier:
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Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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