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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Citizen Science: Training Pet Dogs to Detect the Spotted Lanternfly

Decker, Hannah 16 September 2021 (has links)
Dogs have been used alongside humans as detection tools for centuries. There have been a multitude of studies published that demonstrate the accuracy and utility of detection dogs, more specifically conservation scent detection dogs. With ubiquitous agricultural threats in the United States, there is a need for a tool to help decrease the threat level. Pet dogs could be the answer. There are millions of pet dogs in the United States and with the success of the dog sport nose work there is the potential to use pet dogs as detection tools. In this proof-of-concept study, six pet dogs were trained to detect the spotted lanternfly. The dogs completed a training phase and five tests. The mean sensitivity of the six dogs, for the five tests, was 79.75%. The mean PPP of the six dogs, for all five tests, was 66.79%. The results suggest that these six dogs could be beneficial detection tools for the Spotted Lanternfly. Based on the findings in this study, pet dogs could be invaluable in the field of conservation scent detection. / Master of Science / Dogs have been used alongside humans as detection tools for centuries. There have been a multitude of studies published that demonstrate the accuracy and utility of detection dogs, more specifically conservation scent detection dogs. With ubiquitous agricultural threats in the United States, there is a need for a tool to help decrease the threat level. Pet dogs could be the answer. There are millions of pet dogs in the United States and with the success of the dog sport nose work there is the potential to use pet dogs as detection tools. In this proof-of-concept study, six pet dogs were trained to detect the spotted lanternfly. The dogs completed a training phase and five tests. The mean sensitivity, or proportion of correct detections, of the six dogs, for the five tests, was 79.75%. The mean PPP, or likelihood it is that the source of odor is present when a dog offers an alert; of the six dogs, for all five tests, was 66.79%. The results suggest that these six dogs could be beneficial detection tools for the Spotted Lanternfly. Based on the findings in this study, pet dogs could be invaluable in the field of conservation scent detection.
2

CHANGES IN TREE CANOPY CHEMICAL AND SPECTRAL PROPERTIES IN RESPONSE TO SPOTTED LANTERNFLY (Lycorma delicatula)INFESTATIONS

Elisabeth G Joll (15360469), Kelli Hoover (15360483), Matthew Ginzel (8771376), John Couture (15360486) 29 April 2023 (has links)
<p> Invasive species have developed long-term relationships with humans, especially since the start of the Industrial Revolution, and they have caused immense damage to native environments, ecosystems, and economies. An emerging invasive insect that has recently gained considerable attention is the spotted lanternfly (SLF). Early detection of SLF infestations in new areas or at low densities can lead to a more efficacious management and reduce costs associated with control them. Developing approaches to detect the presence of invasive species, favorable habitats for their establishment, and predicting potential spread will be crucial for effective management strategies to protect native environments and the economy. The goal of my thesis is to improve the understanding of how spotted lanternfly changes the spectral profile and chemical composition of host tree species. I found that spotted lanternfly feeding influences host canopy chemical and spectral properties. Specifically, I was able to use leaf-level hyperspectral measurements to differentiate SLF infestations levels in silver maple and red maple, shown by my first chapter, along with black walnut in my second chapter. Further, I was able to find differences in phenolic compounds in response to SLF infestations in red maple. The results of my study have the potential to be scaled up from leaf-level to landscape-level measurements. I have identified spectral signatures in red maple, silver maple, and black walnut that can be used to identify infestations from spectral data collected from UAVs or satellites. This potentially provides a new method for detection that is easier than traditional ones (like manual scouting and trapping). </p>

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