31 research outputs found

    Five-Year Review of Executive Order 13112 on Invasive Species

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    The Role of Trust in Public Attitudes toward Invasive Species Management on Guam: A Case Study

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    Public attitudes toward invasive alien species management and trust in managers’ ability to effectively manage non-native species can determine public support for conservation action. Guam has experienced widespread species loss and ecosystem transformation due to invasive species. Despite Guam’s long history with invasives and efforts to eradicate them, we know little about the sociological context of invasive species. Using focused group discussions, we explore public attitudes toward invasive species management. Respondents expressed support for management activities and a desire to participate directly in conservation actions. Participants also expressed frustration with government institutions and lack of confidence in managers’ abilities to control invasive species. Perceptions of managers’ trustworthiness, communication with managers, and positive personal experiences with managers were related to positive attitudes about management and support for existing initiatives

    Remote detection of invasive alien species

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    The spread of invasive alien species (IAS) is recognized as the most severe threat to biodiversity outside of climate change and anthropogenic habitat destruction. IAS negatively impact ecosystems, local economies, and residents. They are especially problematic because once established, they give rise to positive feedbacks, increasing the likelihood of further invasions and spread. The integration of remote sensing (RS) to the study of invasion, in addition to contributing to our understanding of invasion processes and impacts to biodiversity, has enabled managers to monitor invasions and predict the spread of IAS, thus supporting biodiversity conservation and management action. This chapter focuses on RS capabilities to detect and monitor invasive plant species across terrestrial, riparian, aquatic, and human-modified ecosystems. All of these environments have unique species assemblages and their own optimal methodology for effective detection and mapping, which we discuss in detail

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