4.2 Article Proceedings Paper

Insect population trends and the IUCN Red List process

Journal

JOURNAL OF INSECT CONSERVATION
Volume 23, Issue 2, Pages 269-278

Publisher

SPRINGER
DOI: 10.1007/s10841-018-0117-1

Keywords

Extinction risk; Threatened species; Biodiversity conservation; Monitoring; Butterflies; Moths

Funding

  1. Biotechnology and Biological Sciences Research Council under the Core Capability Grant [BBS/E/C/000J0200]
  2. Joint Nature Conservation Committee
  3. Forestry Commission
  4. Natural England
  5. Natural Environment Research Council
  6. Natural Resources Wales
  7. Scottish Natural Heritage
  8. BBSRC [BBS/E/C/00005191, BBS/E/C/000J0200] Funding Source: UKRI

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Reliable assessment of extinction risk is a key factor in the preparation of Red Lists and in prioritizing biodiversity conservation. Temporal population trends can provide important evidence for such assessments, but imperfect sampling (observation errors) and short-term stochastic variation in population levels caused by environmental variability (process errors) can reduce the reliability of trends and lead to incorrect quantification of extinction risk. The assessment of insect taxa is likely to be particularly prone to these problems, due to the highly dynamic nature of many insect populations, driven by short life-cycles and sensitivity to environmental factors such as the weather. Using long-term United Kingdom monitoring data for 54 butterfly and 431 macro-moth species, we demonstrate the impact of insect population variability on the assessment of extinction risk using the International Union for Conservation of Nature (IUCN) Red List Criterion A (reduction in population size over the last 10years). For both taxa, varying the start year of the 10-year population trend had a substantial effect on whether particular species met Red List thresholds and on the overall number of species assessed as threatened. We conclude that for these insect taxa strict application of the 10-year rule produces Red List classifications that are unacceptably biased by the start year. Use of long-term trends with adjustment based on species performance over the last decade may offer a pragmatic solution to this problem. We call for further IUCN guidance for practitioners undertaking Red List assessments of taxa with populations that have high temporal variability.

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