文章基本信息

标题：Cost-effective surveillance of invasive species using info-gap theory
本地全文：下载
作者：Yang Liu ; Penghao Wang ; Melissa L. Thomas 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2021
卷号：11
DOI：10.1038/s41598-021-02299-8
语种：English
出版社：Springer Nature
摘要：Invasive species can lead to community-level damage to the invaded ecosystem and extinction of native species. Most surveillance systems for the detection of invasive species are developed based on expert assessment, inherently coming with a level of uncertainty. In this research, info-gap decision theory (IGDT) is applied to model and manage such uncertainty. Surveillance of the Asian House Gecko, Hemidactylus frenatus Duméril and Bibron, 1836 on Barrow Island, is used as a case study. Our research provides a novel method for applying IGDT to determine the population threshold ( \documentclass[12pt