Journal Article
Designing a surveillance program for early detection of alien plants and insects in Norway
Brett K. Sandercock; Marie L. Davey; Anders Endrestøl; Rakel Blaalid; Frode Fossøy; Hanne Hegre; Markus A. M. Majaneva; Anders Often; Jens Åström; Rannveig M. Jacobsen
Biological Invasions · Vol. 25, Issue 3 · pp. 917-936 · 2023
Abstract
Naturalized species of alien plants and animals comprise p ) with occupancy models with repeated visits by multiple observers (vascular plants) or multiple rounds of sampling (insects). The two probabilities covaried with risk category for alien organisms and both were low for species categorized as no known or low risk (range = 0.052–0.326) but were higher for species categorized as severe risk (range = 0.318–0.651). Selecting sites at random or manually did not improve the probability of finding novel alien species, but occupancy had a weak positive relationship with housing density for some categories of alien plants and insects. We used our empirical estimates to test alternative sampling designs that would minimize the combined variance of occupancy and detection (A-optimality criterion). Sampling designs with 8–10 visits per site were best for surveillance of new alien species if the probabilities of occupancy and detection were both low, and provided low conditional probabilities of site occupancy ( $$\hat{\psi }_{condl}$$ ψ ^ condl ≤ 0.032) and a high probabilities of cumulative detection ( $$\hat{p}*$$ p ^ ∗ ≥ 0.943). Our field results demonstrate that early detection is feasible as a key component of a national surveillance program based on early detection and rapid response.
Bibliographic Information
| Journal | Biological Invasions |
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| Publisher | Springer |
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| Publication Date | 2023-03-01 |
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| Publication Year | 2023 |
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| Volume | 25 |
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| Issue | 3 |
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| Pages | 917-936 |
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| Document Type | Journal Article |
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| Print ISSN | 1387-3547 |
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| eISSN | 1573-1464 |
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| DOI | 10.1007/s10530-022-02957-6 |
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