Digital Commons Network^™

Do Castanea Sativa Wild Provenances Influence Dryocosmus Kuriphilus Yasumatsu(Hymenoptera: Cynipidae) Infestations?, Mario Contarini, Luca Rossini, Romina Caccia, Silvia Morelli, Isacco Beritognolo, Muriel Gaudet, Fiorella Villani, Bruno Paparatti, Stefano Speranza

Turkish Journal of Zoology

The Asian chestnut gall wasp (ACGW), Dryocosmus kuriphilus, native to China was accidentally introduced into many countries worldwide, including Italy. Different susceptibilities have been reported in literature among cultivated plants belonging to different gene pools worldwide, but this aspect has not been sufficiently explored among wild chestnut populations. The aims of this multiyear study were (i) to assess differences in susceptibility to ACGW in wild C. sativa plants coming from different parts of Europe grown in an experimental plot in Central Italy, (ii) to preliminarily analyse the relationships between temperature, relative humidity and rain variables of winter and summer and …

The Impacts Of Asian Longhorned Beetle On Forests In Southern New England, Olivia Fay Box

Graduate College Dissertations and Theses

Over the past several decades, the United States has been experiencing an influx of nonnative pests due to increased globalization, and many of these pests have the potential to permanently alter the composition, structure, and function of forests. Asian longhorned beetle (ALB) is an invasive pest that came into Worcester county, MA in 2008, where the first instance of this species invading both urban and natural forested areas was documented. Within the quarantine area for this novel invasion, 30,000 trees were removed over the course of 10 years as part of management efforts focused on harvesting all host species, primarily …

Developing Population Control Strategies For Wild Boar Management In Canada, Amanda Wong

Theses and Dissertations (Comprehensive)

Abstract

DEVELOPING POPULATION CONTROL STRATEGIES FOR WILD BOAR MANAGEMENT IN CANADA

Amanda Wong Advisor: Scott Slocombe

Wilfrid Laurier University 2020

Canada’s landscape faces major threats from the growing wild boar (Sus scrofa) population, whose current presence predominantly threatens the Prairie provinces. Globally it has become apparent that wild boars are robust animals with high reproductive rates and destructive behaviours in both their native and non-native ranges. This paper analyzes wild boar management strategies that have been conducted around the world to identify the most effective tools, and those that were unsuccessful. The wild boars in Canada are hybridized …

Response Of Forest Birds To Spotted Wing Drosophila (Drosophila Suzukii Matsumura), A Novel Invasive Fruit Pest, At Allegheny National Forest, Daniel P. Roche

Graduate Theses, Dissertations, and Problem Reports

Non-native invasive insect pests can have dramatic impacts on native ecosystems, feeding on plant foliage, wood, or sap. Little is known, however, about how fruit-targeting NNIIPs may affect native ecosystems. Spotted wing Drosophila (Drosophila suzukii Matsumura, SWD) is a recently introduced invasive vinegar fly that parasitizes the fruits of many plant species in the United States. While its activity in agricultural systems is well-documented, little is known about its activity in forest ecosystems, despite growing evidence of its presence and parasitism of fruits there. Parasitism could reduce fruit attractiveness for vertebrate fruit consumers, including migratory birds. As such, this …

Rapid Quantification Of Biofouling With An Inexpensive, Underwater Camera And Image Analysis, Matthew R. First, Scott C. Riley, Kazi Aminul Islam, Victoria Hill, Jiang Li, Richard C. Zimmerman, Lisa A. Drake

Electrical & Computer Engineering Faculty Publications

To reduce the transport of potentially invasive species on ships' submerged surfaces, rapid-and accurate-estimates of biofouling are needed so shipowners and regulators can effectively assess and manage biofouling. This pilot study developed a model approach for that task. First, photographic images were collected in situ with a submersible, inexpensive pocket camera. These images were used to develop image processing algorithms and train machine learning models to classify images containing natural assemblages of fouling organisms. All of the algorithms and models were implemented in a widely available software package (MATLAB^©). Initially, an unsupervised clustering model was used, and three …