TY - JOUR
T1 - Hurdles and opportunities in implementing marine biosecurity systems in data-poor regions
AU - Carvalho, Susana
AU - Shchepanik, Hailey
AU - Aylagas, Eva
AU - Berumen, Michael L.
AU - Costa, Filipe O.
AU - Costello, Mark John
AU - Duarte, Sofia
AU - Ferrario, Jasmine
AU - Floerl, Oliver
AU - Heinle, Moritz
AU - Katsanevakis, Stelios
AU - Marchini, Agnese
AU - Olenin, Sergej
AU - Pearman, John K.
AU - Peixoto, Raquel S.
AU - Rabaoui, Lotfi J.
AU - Ruiz, Greg
AU - Srėbalienė, Greta
AU - Therriault, Thomas W.
AU - Vieira, Pedro E.
AU - Zaiko, Anastasija
N1 - Funding Information:
This work resulted from a workshop organized at the King Abdullah University of Science and Technology and sponsored under the Support for Conferences and Workshops Program. We would like to thank the admin support of the Red Sea Research Center team, IT, and teachers and students from the KAUST schools who participated in some outreach activities. We thank Ana Bigio for the artwork presented in this article (figures –). GS was supported by the European Social Fund, under project no 09.3.3-LMT-K-712, the “Development of Competences of Scientists, other Researchers and Students through Practical Research Activities” measure, grant agreement no. 09.3.3-LMT-K-712–19-0083.
Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of the American Institute of Biological Sciences.
PY - 2023/7
Y1 - 2023/7
N2 - Managing marine nonindigenous species (mNIS) is challenging, because marine environments are highly connected, allowing the dispersal of species across large spatial scales, including geopolitical borders. Cross-border inconsistencies in biosecurity management can promote the spread of mNIS across geopolitical borders, and incursions often go unnoticed or unreported. Collaborative surveillance programs can enhance the early detection of mNIS, when response may still be possible, and can foster capacity building around a common threat. Regional or international databases curated for mNIS can inform local monitoring programs and can foster real-time information exchange on mNIS of concern. When combined, local species reference libraries, publicly available mNIS databases, and predictive modeling can facilitate the development of biosecurity programs in regions lacking baseline data. Biosecurity programs should be practical, feasible, cost-effective, mainly focused on prevention and early detection, and be built on the collaboration and coordination of government, nongovernment organizations, stakeholders, and local citizens for a rapid response.
AB - Managing marine nonindigenous species (mNIS) is challenging, because marine environments are highly connected, allowing the dispersal of species across large spatial scales, including geopolitical borders. Cross-border inconsistencies in biosecurity management can promote the spread of mNIS across geopolitical borders, and incursions often go unnoticed or unreported. Collaborative surveillance programs can enhance the early detection of mNIS, when response may still be possible, and can foster capacity building around a common threat. Regional or international databases curated for mNIS can inform local monitoring programs and can foster real-time information exchange on mNIS of concern. When combined, local species reference libraries, publicly available mNIS databases, and predictive modeling can facilitate the development of biosecurity programs in regions lacking baseline data. Biosecurity programs should be practical, feasible, cost-effective, mainly focused on prevention and early detection, and be built on the collaboration and coordination of government, nongovernment organizations, stakeholders, and local citizens for a rapid response.
KW - bioinvasions
KW - biosecurity frameworks
KW - biosecurity guidelines
KW - marine
KW - nonindigenous species
UR - http://www.scopus.com/inward/record.url?scp=85168714877&partnerID=8YFLogxK
U2 - 10.1093/biosci/biad056
DO - 10.1093/biosci/biad056
M3 - Review article
C2 - 37560322
AN - SCOPUS:85168714877
SN - 0006-3568
VL - 73
SP - 494
EP - 512
JO - BioScience
JF - BioScience
IS - 7
ER -