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Mechanistic insight into insect declines is crucial for effective conservation

  • Benoit GUÉNARD*
  • , Taylor A. BOGAR
  • , Roger H. LEE
  • , Chi Man LEONG
  • , Runxi WANG
  • , Mark K.L. WONG
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Anthropogenic activities have triggered a global biodiversity crisis, characterized by severe declines in insect abundance and species richness. Effective conservation is often hindered by the taxonomic impediment and the "Raunkiæran shortfall"—the limited knowledge regarding species' ecological and functional traits. However, developing targeted conservation strategies requires moving beyond observed patterns toward mechanistic, trait-based frameworks. Here, we examine how several major and emerging threats— biological invasions, wildlife trade, climate change, and light pollution —impact insect communities via complex direct and indirect pathways. Drawing on recent literature, we argue that mechanistic insights facilitate "precision species conservation”, allowing for targeted management strategies tailored to specific ecological vulnerabilities. For example, understanding how artificial light disrupts insect flight enables more sustainable lighting designs that reduce mortality; while identifying trait-based vulnerabilities strengthens biosecurity and trade regulations to limit biological invasions and unsustainable wildlife trade. Because the magnitude of these impacts varies across trophic, morphological, and taxonomic scales, conservation scenarios must be equally specialized. Bridging the gap between mechanistic ecological knowledge and practical application is critical for developing robust frameworks to mitigate global insect biodiversity loss.
Original languageEnglish
Article number101575
JournalCurrent Opinion in Insect Science
DOIs
Publication statusE-pub ahead of print - 8 Jul 2026

Funding

B.G. is supported by a General Research Fund from the University Grants Committee of the Hong Kong SAR (Project Nb 17121922). R.H.L. is supported by an Early Career Scheme from the University Grants Committee of Hong Kong SAR (Project Nb 23100524). R.W. is supported by the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China (JYB2025XDXM902) and the Fundamental Research Funds for the Central Universities (2253100020). M.K.L.W. is supported by the Australian Research Council’s Discovery Early Career Researcher Award (DECRA) funding scheme (DE250100746). C.M.L is supported by the Beijing Normal-Hong Kong Baptist University (R0200029-26).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 15 - Life on Land
    SDG 15 Life on Land
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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