AI Article Synopsis

  • Spatio-temporal environments can cause unpredictable population changes, highlighting the need for understanding local aspects that support population resilience.
  • A model of tsetse fly populations, influenced by temperature and mortality rates, reveals that in cooler areas, control efforts may inadvertently allow faster recovery of populations.
  • Effective management strategies should consider the identification of refuges that may undermine control efforts and emphasize the importance of gathering baseline ecosystem data before any intervention.

Article Abstract

Spatio-temporally heterogeneous environments may lead to unexpected population dynamics. Knowledge is needed on local properties favouring population resilience at large scale. For pathogen vectors, such as tsetse flies transmitting human and animal African trypanosomosis, this is crucial to target management strategies. We developed a mechanistic spatio-temporal model of the age-structured population dynamics of tsetse flies, parametrized with field and laboratory data. It accounts for density- and temperature-dependence. The studied environment is heterogeneous, fragmented and dispersal is suitability-driven. We confirmed that temperature and adult mortality have a strong impact on tsetse populations. When homogeneously increasing adult mortality, control was less effective and induced faster population recovery in the coldest and temperature-stable locations, creating refuges. To optimally select locations to control, we assessed the potential impact of treating them and their contribution to the whole population. This heterogeneous control induced a similar population decrease, with more dispersed individuals. Control efficacy was no longer related to temperature. Dispersal was responsible for refuges at the interface between controlled and uncontrolled zones, where resurgence after control was very high. The early identification of refuges, which could jeopardize control efforts, is crucial. We recommend baseline data collection to characterize the ecosystem before implementing any measures.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893214PMC
http://dx.doi.org/10.1098/rspb.2020.2810DOI Listing

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