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Zhang X, Du H, Zhao Z, Wu Y, Cao Z, Zhou Y, Sun Y. Risk Assessment Model System for Aquatic Animal Introduction Based on Analytic Hierarchy Process (AHP). Animals (Basel) 2023; 13:2035. [PMID: 37370545 DOI: 10.3390/ani13122035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/13/2023] [Accepted: 06/17/2023] [Indexed: 06/29/2023] Open
Abstract
The spread of invasive species (IS) has the potential to upset ecosystem balances. In extreme cases, this can hinder economical utilization of both aquatic (fisheries) and terrestrial (agricultural) systems. As a result, many countries regard risk assessment of IS as an important process for solving the problem of biological invasion. Yet, some IS are purposefully introduced for what is seen as their potential economic benefits. Thus, conducting IS risk assessments and then formulating policies based on scientific information will allow protocols to be developed that can reduce problems associated with IS incursions, whether occurring purposefully or not. However, the risk assessment methods currently adopted by most countries use qualitative or semiquantitative methodologies. Currently, there is a mismatch between qualitative and quantitative assessments. Moreover, most assessment systems are for terrestrial animals. What is needed is an assessment system for aquatic animals; however, those currently available are relatively rudimentary. To fill this gap, we used the analytic hierarchy process (AHP) to build a risk assessment model system for aquatic IS. Our AHP has four primary indexes, twelve secondary indexes, and sixty tertiary indexes. We used this AHP to conduct quantitative risk assessments on five aquatic animals that are typically introduced in China, which have distinct biological characteristics, specific introduction purposes, and can represent different types of aquatic animals. The assessment results show that the risk grade for Pterygoplichthys pardalis is high; the risk grade for Macrobrachium rosenbergii, Crassostrea gigas, and Trachemys scripta elegans is medium; and the grade risk for Ambystoma mexicanum is low. Risk assessment of the introduction of aquatic animals using our AHP is effective, and it provides support for the introduction and healthy breeding of aquatic animals. Thus, the AHP model can provide a basis for decision-making risk management concerning the introduction of species.
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Affiliation(s)
- Xuxin Zhang
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Hehe Du
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Zhouzhou Zhao
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Ying Wu
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Zhenjie Cao
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Yongcan Zhou
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Yun Sun
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
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Vilizzi L, Piria M. Providing scientifically defensible evidence and correct calibrated thresholds for risk screening non-native species with second-generation Weed Risk Assessment-type decision-support tools. JOURNAL OF VERTEBRATE BIOLOGY 2022. [DOI: 10.25225/jvb.22047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Lorenzo Vilizzi
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland; e-mail:
| | - Marina Piria
- University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, Zagreb, Croatia; e-mail:
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Vilizzi L, Hill JE, Piria M, Copp GH. A protocol for screening potentially invasive non-native species using Weed Risk Assessment-type decision-support tools. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 832:154966. [PMID: 35367540 DOI: 10.1016/j.scitotenv.2022.154966] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/09/2022] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
There is increasing use worldwide of electronic decision-support tools to identify potentially invasive non-native species so as to inform policy and management decisions aimed at preventing or mitigating the environmental and socio-economic impacts of biological invasions. This study reviews the analytical approaches used to calibrate scores generated by the Weed Risk Assessment and subsequent adaptations thereof and provides a protocol for: (i) the identification of the assessor(s) who will carry out the screenings; (ii) the definition of the risk assessment area; (iii) the criteria for selection of the species for screening; and (iv) the a priori categorisation of the species into invasive or non-invasive necessary to compute the thresholds by which to distinguish between high-risk and medium-risk non-native species. This analytical approach represents an evidence-based and statistically robust means with which to inform decision-makers and stakeholders about policy and management of potentially invasive species and is expected to serve as a general reference of forthcoming screening applications of Weed Risk Assessment-type toolkits.
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Affiliation(s)
- Lorenzo Vilizzi
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, 90-237 Lodz, Poland
| | - Jeffrey E Hill
- Tropical Aquaculture Laboratory, Program in Fisheries and Aquatic Sciences, School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Ruskin, FL 33570, USA
| | - Marina Piria
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, 90-237 Lodz, Poland; University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, 10000 Zagreb, Croatia.
| | - Gordon H Copp
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, 90-237 Lodz, Poland; Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, Suffolk NR33 0HT, UK; Centre for Ecology, Environment and Sustainability, Bournemouth University, Poole, Dorset BH12 5BB, UK; Environmental & Life Sciences Graduate Programme, Trent University, Peterborough, Ontario K9L 0G2, Canada
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