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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

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Related Experiment Video

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Field Experiments of Pollination Ecology: The Case of Lycoris sanguinea var. sanguinea
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A field experiment characterizing variable detection rates during plant surveys.

Cindy E Hauser1,2, Katherine M Giljohann1, Michael A McCarthy1

  • 1School of BioSciences, University of Melbourne, Parkville, Victoria, Australia.

Conservation Biology : the Journal of the Society for Conservation Biology
|January 31, 2022
PubMed
Summary

Understanding invasive plant detection is key for conservation. This study found that flowering invasive Pilosella species were easier to detect, but high cover of similar yellow flowers reduced detection rates, impacting eradication efforts.

Keywords:
Alpine National Park AustraliaHieraciumParque Nacional Alpino (Australia)PilosellaPilosella aurantiacaPilosella caespitosaPilosella survey designdetectabilitydiseño de censosking devil hawkweedorange hawkweedtiempo para la deteccióntime to detection可探测性山柳菊属 (Hieracium)检测时间橙黄山柳菊澳大利亚阿尔卑斯山国家公园细毛菊属 (Pilosella)调查设计魔王山柳菊

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Area of Science:

  • Ecology
  • Conservation Biology
  • Invasive Species Management

Background:

  • Accurate detection of rare and invasive species is crucial for effective management and conservation efforts.
  • Detection rates in plant surveys are influenced by observer, target plant, and environmental factors, with complex interactions often unstudied.
  • The invasive Pilosella species in Australia are sparsely distributed and visually similar to native yellow-flowering plants, complicating surveys.

Purpose of the Study:

  • To experimentally investigate the sources of variation in detection rates for two invasive Pilosella species.
  • To model the influence of controlled and uncontrolled variables on detection probability using survival analysis.
  • To understand how target and background characteristics interact to affect detection and inform survey strategies.

Main Methods:

  • An experiment was conducted in Alpine National Park, Australia, using controlled Pilosella plants (flowering/non-flowering, color) and varied background vegetation.
  • Observers conducted mock surveys in plots with controlled target plants and varying densities of non-target yellow flowers and vegetation types.
  • Survival analysis was applied to detection data, incorporating observer experience as a covariate.

Main Results:

  • Flowering Pilosella plants in grass and heath habitats were detected more readily than non-flowering individuals.
  • Increased cover of co-occurring yellow-flowering species significantly reduced the detection advantage of Pilosella.
  • Prior survey experience with Pilosella positively correlated with improved detection rates.

Conclusions:

  • Detection rates are significantly influenced by the interaction between target plant traits (flowering status) and background characteristics (non-target species abundance).
  • Observer experience is a critical factor in improving detection accuracy for challenging invasive species.
  • These findings are vital for refining survey protocols, enhancing predictive models for invasive species management, and guiding eradication programs.