4.7 Article

A tool for a race against time: Dispersal simulations to support ongoing monitoring program of the invasive coral Tubastraea coccinea

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MARINE POLLUTION BULLETIN
卷 185, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2022.114354

关键词

Larval dispersion; Management; Prevention; Invasion; Conservation; Biological pollution

资金

  1. Coordenaao de Aperfeioamento de Pessoal de Nvel Superior-Brasil [001]

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Preventing, detecting, and monitoring invasive marine species is a challenging task. Early detection of invasions, such as the Indo-pacific scleractinian coral Tubastraea coccinea in the Atlantic, is crucial for eradication. The impacts of such invasions on local species and ecosystems are significant. Brazil and the Canary Islands of Spain have implemented control plans for Tubastraea spp. We used an Individual-based Model to study the invasion history of Tubastraea coccinea in the southern Atlantic and identified hotspots for possible emerging invasion sites.
Preventing, detecting, and monitoring invasive marine species is a big challenge as it is not possible to visualize all invasion extensions. Their early detection may be the best chance to achieve eradication. The Indo-pacific scleractinian coral Tubastraea coccinea invasion in the Atlantic dates from the late 1930s. Since then, disrup-tive populations were found along similar to 8.000 km of west Atlantic, and in the Canarian Islands of Spain (east Atlantic), related to vessel fouling in the oil and gas industry. Their impacts have been noticed from endemic species to ecosystems. In Brazil, initiatives to control Tubastraea spp. have been done mostly by local environ-mental managers and researchers, but recently a National Plan for Prevention, Control and Monitoring (NPPCM) for Tubastraea spp. was approved. We applied an Individual-based Model within the invasion history of Tubas-traea coccinea in its southern distribution limit in the Atlantic, on the rocky shore of the Arvoredo Biological Marine Reserve. We indicated hotspots for the occurrence of possible emerging invasion sites in the region and expect to support ongoing monitoring programs in defining priority areas for their early detection. The model is easily replicated and might be a valuable tool for decision makers.

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