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dc.creatorWang, Shengling
dc.creatorWang, Chenyu
dc.creatorWang, Shenling
dc.creatorMa, Liran
dc.date.accessioned2019-07-12T16:02:06Z
dc.date.available2019-07-12T16:02:06Z
dc.date.issued2018-08-13
dc.identifier.urihttps://doi.org/10.1186/s12859-018-2272-5
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/26430
dc.identifier.urihttps://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2272-5
dc.description.abstractBackground Global maritime trade plays an important role in the modern transportation industry. It brings significant economic profit along with bioinvasion risk. Species translocate and establish in a non-native area through ballast water and biofouling. Aiming at aquatic bioinvasion issue, people proposed various suggestions for bioinvasion management. Nonetheless, these suggestions only focus on the chance of a port been affected but ignore the port's ability to further spread the invaded species. Results To tackle the issues of the existing work, we propose a biosecurity triggering mechanism, where the bioinvasion risk of a port is estimated according to both the invaded risk of a port and its power of being a stepping-stone. To compute the invaded risk, we utilize the automatic identification system data, the ballast water data and marine environmental data. According to the invaded risk of ports, we construct a species invasion network (SIN). The incoming bioinvasion risk is derived from invaded risk data while the invasion risk spreading capability of each port is evaluated by s-core decomposition of SIN. Conclusions We illustrate 100 ports in the world that have the highest bioinvasion risk when the invaded risk and stepping-stone bioinvasion risk are equally treated. There are two bioinvasion risk intensive regions, namely the Western Europe (including the Western European margin and the Mediterranean) and the Asia-Pacific, which are just the region with a high growth rate of non-indigenous species and the area that has been identified as a source for many of non-indigenous species discovered elsewhere (especially the Asian clam, which is assumed to be the most invasive species worldwide).en_US
dc.language.isoenen_US
dc.publisherBioMed Central
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceBMC Bioinformatics
dc.subjectBioinvasionen_US
dc.subjectSpecies invasion networken_US
dc.subjectS-core decompositionen_US
dc.titleBig data analysis for evaluating bioinvasion risken_US
dc.typeArticleen_US
dc.rights.holderWang et al.
dc.rights.licenseCC BY 4.0
local.collegeCollege of Science and Engineering
local.departmentComputer Science
local.personsMa (COSC)


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