Invasion lags: The stories we tell ourselves and our inability to infer process from pattern

Coutts, Shaun, , & Bennett, Joseph (2018) Invasion lags: The stories we tell ourselves and our inability to infer process from pattern. Diversity and Distributions, 24(2), pp. 244-251.

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Description

Aim Many alien species experience a lag phase between arriving in a region and becoming invasive, which can provide a valuable window of opportunity for management. Our ability to predict which species are experiencing lags has major implications for management decisions that are worth billions of dollars and that may determine the survival of some native species. To date, timing and causes of lag and release have been identified post hoc, based on historical narratives. Location Global. Methods We use a simple but realistic simulation of population spread over a fragmented landscape. To break the invasion lag, we introduce a sudden, discrete change in dispersal. Results We show that the ability to predict invasion lags is minimal even under controlled circumstances. We also show a non-negligible risk of falsely attributing lag breaks to mechanisms based on invasion trajectories and coincidences in timing. Main conclusions We suggest that post hoc narratives may lead us to erroneously believe we can predict lags and that a precautionary approach is the only sound management practice for most alien species.

Impact and interest:

35 citations in Scopus
31 citations in Web of Science®
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ID Code: 223204
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Helmstedt, Kateorcid.org/0000-0003-0201-5348
Measurements or Duration: 8 pages
DOI: 10.1111/ddi.12669
ISSN: 1472-4642
Pure ID: 33327321
Divisions: Past > Institutes > Institute for Future Environments
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS)
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 06 Nov 2021 17:41
Last Modified: 25 Jul 2024 10:43