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Remote detection of invasive alien species


Bolch, Erik A; Santos, Maria J; Ade, Christiana; Khanna, Shruti; Basinger, Nicholas T; Reader, Martin O; Hestir, Erin L (2020). Remote detection of invasive alien species. In: Cavender-Bares, Jeannine; Gamon, John A; Townsend, Philip A. Remote sensing of plant biodiversity. Cham (Switzerland): Springer, 267-307.

Abstract

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.

Abstract

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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Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Life Sciences > General Agricultural and Biological Sciences
Physical Sciences > General Environmental Science
Physical Sciences > General Engineering
Physical Sciences > General Earth and Planetary Sciences
Language:English
Date:2020
Deposited On:02 Oct 2020 12:39
Last Modified:03 Oct 2020 20:00
Publisher:Springer
ISBN:978-3-030-33156-6
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/978-3-030-33157-3_12

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