The invasion risk of species associated with Japanese Tsunami Marine Debris in Pacific North America and Hawaii

Therriault, Thomas W.; Nelson, Jocelyn C.; Carlton, James T.; Liggan, Lauran; Otani, Michio; Kawai, Hiroshi; Scriven, Danielle; Ruiz, Gregory M.; Murray, Cathryn Clarke

doi:10.1016/j.marpolbul.2017.12.063

Cited by 28 publications

(7 citation statements)

References 52 publications

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“…The use of CMIST as a screening tool to identify high‐risk species for specific ecoregions is a recent approach to stay ahead of the invasion process (Drolet et al., 2016; Moore et al., 2018; Therriault et al., 2018). Although the use of CMIST combined with habitat modelling, as done in this study, places more emphasis on the likelihood of invasion than the likelihood of impact component of risk, such a tool may be used as a first step to develop a ranked watch list to guide early detection and monitoring efforts and to prioritize species for detailed risk assessments and potential regulations (Locke, Mandrak, & Therriault, 2011).…”

Section: Discussionmentioning

confidence: 99%

“…These species were then ranked to evaluate invasion risk using the Canadian Marine Invasive Species Tool (CMIST; Drolet et al., 2016)—a rapid screening‐level risk assessment tool to quantify the risk of existing or potential marine invaders in a given area. The semiquantitative tool uses existing information and expert opinion to evaluate the potential for arrival, establishment, spread and impact by a given species and has been applied in a number of eco‐regions within Canada (DFO, 2017; Drolet et al., 2016; Moore, Lowen, & DiBacco, 2018; Therriault et al., 2018). CMIST scores are computed based on responses to 17 questions related to the likelihood and impact of invasion (see Figure S1.2a) according to the information found in the literature and other sources.…”

Section: Methodsmentioning

confidence: 99%

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What and where? Predicting invasion hotspots in the Arctic marine realm

Goldsmit

McKindsey

Schlegel

et al. 2020

Global Change Biology

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The risk of aquatic invasions in the Arctic is expected to increase with climate warming, greater shipping activity and resource exploitation in the region. Planktonic and benthic marine aquatic invasive species (AIS) with the greatest potential for invasion and impact in the Canadian Arctic were identified and the 23 riskiest species were modelled to predict their potential spatial distributions at pan-Arctic and global scales. Modelling was conducted under present environmental conditions and two intermediate future (2050 and 2100) global warming scenarios. Invasion hotspots-regions of the Arctic where habitat is predicted to be suitable for a high number of potential AIS-were located in Hudson Bay, Northern Grand Banks/Labrador, Chukchi/Eastern Bering seas and Barents/White seas, suggesting that these regions could be more vulnerable to invasions. Globally, both benthic and planktonic organisms showed a future poleward shift in suitable habitat. At a pan-Arctic scale, all organisms showed suitable habitat gains under future conditions. However, at the global scale, habitat loss was predicted in more tropical regions for some taxa, particularly most planktonic species. Results from the present study can help prioritize management efforts in the face of climate change in the Arctic marine ecosystem. Moreover, this particular approach provides information to identify present and future high-risk areas for AIS in response to global warming. K E Y W O R D S aquatic invasive species, climate warming, ensemble models, habitat suitability, risk of invasion, shipping, species distribution model This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2020 Her Majesty the Queen in Right of Canada. Global Change Biology published by John Wiley & Sons Ltd. Reproduced with the permission of the Minister of Fisheries and Oceans Canada | 4753 GOLDSMIT eT aL. Lockwood, 2013; Simberloff et al., 2013). Estimates suggest that their presence may entail costs of up to 12% of the gross domestic product of affected countries (Marbuah, Gren, & McKie, 2014). The greatest numbers of aquatic invasions have been documented in temperate regions (Ruiz & Hewitt, 2009). However, high latitude areas are generally warming at a faster rate than other areas (Niemi et al., 2019; Overland et al., 2019) and various climate change scenarios predict that the ice-free season will continue to lengthen (Barnhart,

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

What and where? Predicting invasion hotspots in the Arctic marine realm

Goldsmit

McKindsey

Schlegel

et al. 2020

Global Change Biology

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“…In addition, other vectors and pathways have been responsible for NNS introductions, including aquaculture (Grosholz et al, 2015;Toledo-Guedes et al, 2014), live bait trade (Fowler et al, 2015;Sá et al, 2017), aquarium trade (Padilla & Williams, 2004), marine debris/litter (Carlton et al, 2018;Rech et al, 2016;Therriault et al, 2018) and canal excavation (e.g. the Suez Canal and the Panama in community composition.…”

Section: Introductionmentioning

confidence: 99%

“…Hull fouling on recreational vessels also accounts for primary and secondary introductions (Ferrario et al, 2017; Marchini et al, 2015; Zabin et al, 2014). In addition, other vectors and pathways have been responsible for NNS introductions, including aquaculture (Grosholz et al, 2015; Toledo‐Guedes et al, 2014), live bait trade (Fowler et al, 2015; Sá et al, 2017), aquarium trade (Padilla & Williams, 2004), marine debris/litter (Carlton et al, 2018; Rech et al, 2016; Therriault et al, 2018) and canal excavation (e.g. the Suez Canal and the Panama Canal) (Galil et al, 2018; Ruiz et al, 2006), among others.…”

Section: Introductionmentioning

confidence: 99%

Diversity and patterns of marine non‐native species in the archipelagos of Macaronesia

Castro

Carlton

Costa

et al. 2022

Diversity and Distributions

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Aims The present study is the first attempt to grasp the scale and richness of marine biological invasions in Macaronesia. We pioneered a comprehensive non‐native species (NNS), inventory in the region to determine their diversity patterns and native distribution origins. NNS were defined here as the result of both introductions and range expansions. We also used statistical modelling to examine relationships among NNS richness, anthropogenic activities, demographic and geographical variables across Macaronesia. Location Macaronesia. Methods A comprehensive literature search was conducted for marine NNS records in Macaronesia, registering the first record's location and year from 1884 to 2020. We used univariate and multivariate analyses to evaluate differences and similarities in community composition. By applying a Generalized Linear Model (GLM), we tested hypotheses regarding NNS richness as a function of anthropogenic activities, demographic and geographical variables. Results A total of 144 marine non‐native species (NNS) were recorded for the whole of Macaronesia. The highest NNS richness was registered in the Canary Islands (76 NNS), followed by the Azores (66 NNS), Madeira (59 NNS) and finally Cabo Verde (18 NNS). Some differences amongst archipelagos were observed, such as the high number of non‐native macroalgae in the Azores, fishes in the Canary Islands and tunicates in Cabo Verde. Overall, macroalgae, tunicates and bryozoans were the predominant taxonomic groups in the Macaronesian archipelagos. Madeira and Canary Islands were the archipelagos with more similarity in marine NNS, and Cabo Verde the most divergent. Finally, GLM suggested that non‐native richness patterns across Macaronesia were dependent on the considered archipelago and strongly affected by (1) minimum distance to the mainland, (2) the total number of ports and marinas and (3) total marinas area (km2). Conclusions The model results and NNS listing in the present study will likely raise the awareness and response regarding marine NNS in the whole Macaronesia region, serving as a baseline for future research as well as implementing and enforcing regulations related to the introduction of marine NNS in oceanic islands.

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“…Aniel-Quiroga et al studied the interaction between tsunami waves and coastal structures as these are the first to receive the tsunami's energy [23]. e probability of invasion was lowered for the Gulf of Alaska and Hawaii [24,25]. Silva and Soares [26] described a nonlinear strip theory model in the time domain of ship motions with six degrees of freedom.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Nonlinear Behavior of a Sailing Container Ship under Landslide‐Induced Surges

Yuan

Wang

Zhao

et al. 2019

Advances in Civil Engineering

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Surges induced by rock landslides that enter water at a high speed are extremely destructive. The initial surge height and spread characteristic are important references used in disaster precaution and risk assessment. In this study, twenty groups of orthogonal experiments of landslide-induced impulse wave were conducted, the details of the self-propulsion of ships were designed, the values of the propeller, rudder, and shafting were calculated, and the model of the propeller and rudder was processed. The validity of the model system was verified from a turning test, zig-zag maneuver test, and free attenuation test. The interactions between landslides and water and between landslide-induced wave and ships are analyzed by performing an orthogonal model test and determining the difference among the initial wave heights of landslide surges caused by different landslide volumes. The model test can compare and analyze the influences of different landslide volumes and navigation positions on the nonlinear behavior of ships, thereby proposing control methods and measures for safe sailing in waters with landslide-induced surges and providing a theoretical basis for disaster prevention and reduction in the channel of a reservoir area or a hydraulic structure.

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The invasion risk of species associated with Japanese Tsunami Marine Debris in Pacific North America and Hawaii

Cited by 28 publications

References 52 publications

What and where? Predicting invasion hotspots in the Arctic marine realm

What and where? Predicting invasion hotspots in the Arctic marine realm

Diversity and patterns of marine non‐native species in the archipelagos of Macaronesia

Experimental Study on the Nonlinear Behavior of a Sailing Container Ship under Landslide‐Induced Surges

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