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Related Concept Videos

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Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
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In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
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A Precise and Autonomous System for the Detection of Insect Emergence Patterns
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Illuminating patterns of firefly abundance using citizen science data and machine learning models.

Darin J McNeil1, Sarah C Goslee2, Melanie Kammerer2

  • 1Department of Forestry and Natural Resources, University of Kentucky, Lexington, KY 40506, USA.

The Science of the Total Environment
|April 12, 2024
PubMed
Summary

Firefly populations are declining due to habitat loss and climate change. Conservation efforts must include monitoring, climate change mitigation, and insect-friendly practices to protect these vital insects.

Keywords:
ClimateEcologyFireflyInsect conservationLampyridaeLightning bug

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Area of Science:

  • Ecology
  • Conservation Biology
  • Entomology

Background:

  • Insect populations, including fireflies (Coleoptera: Lampyridae), face global declines.
  • Factors like habitat loss, pesticide use, and light pollution are suspected threats, but their broad-scale impacts remain under-examined.
  • Quantitative data on firefly populations are scarce, hindering effective conservation strategies.

Purpose of the Study:

  • To evaluate the relative importance of various factors on North American firefly populations.
  • To identify key drivers of firefly abundance using machine learning models.
  • To inform conservation strategies for fireflies in the face of environmental change.

Main Methods:

  • Utilized over 24,000 citizen science surveys from the Firefly Watch program (2008-2016).
  • Employed machine learning models to analyze the influence of pesticides, artificial lights, land cover, soil/topography, weather, and climate.
  • Assessed complex interactions between environmental variables and firefly abundance.

Main Results:

  • Firefly abundance is significantly influenced by interactions between soil composition, climate/weather patterns (e.g., growing degree days), and land cover (e.g., agriculture, impervious cover).
  • Habitat loss remains a critical threat, compounded by the significant impact of climate and weather conditions.
  • Climate change is predicted to alter regional suitability for firefly populations, potentially leading to population losses in some areas.

Conclusions:

  • Results support existing hypotheses on firefly threats, particularly habitat loss, and highlight climate change as a major, underappreciated threat.
  • Future conservation requires sustained population monitoring (e.g., Firefly Watch), climate change mitigation strategies, and the adoption of insect-friendly conservation practices.
  • Protecting North American firefly populations necessitates a multi-faceted approach addressing both direct threats and long-term environmental shifts.