AI Article Synopsis

  • Pollinator decline, especially among wild bees like bumble bees, is an increasing global issue linked to pesticides, with specific focus on neonicotinoids.
  • A mathematical model using differential equations was developed to study bumble bee population dynamics and the impact of pesticides on these colonies over time.
  • The study examines both lethal and sub-lethal effects, such as impaired foraging abilities, to better understand their combined effects on bee populations and the broader implications for ecosystem services conservation.

Article Abstract

Pollinator decline worldwide is well-documented; globally, chemical pesticides (especially the class of pesticides known as neonicotinoids) have been implicated in hymenopteran decline, but the mechanics and drivers of population trends and dynamics of wild bees is poorly understood. Declines and shifts in community composition of bumble bees (Bombus spp.) have been documented in North America and Europe, with a suite of lethal and sub-lethal effects of pesticides on bumble bee populations documented. We employ a mathematical model parameterized with values taken from the literature that uses differential equations to track bumble bee populations through time in order to attain a better understanding of toxicant effects on a developing colony of bumble bees. We use a delay differential equation (DDE) model, which requires fewer parameter estimations than agent-based models while affording us the ability to explicitly describe the effect of larval incubation and colony history on population outcomes. We explore how both lethal and sublethal effects such as reduced foraging ability may combine to affect population outcomes, and discuss the implications for the protection and conservation of ecosystem services.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103009PMC
http://dx.doi.org/10.1007/s10646-020-02162-yDOI Listing

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