Risk Assessment Model System for Aquatic Animal Introduction Based on Analytic Hierarchy Process (AHP)

被引:2
|
作者
Zhang, Xuxin [1 ,2 ,3 ]
Du, Hehe [2 ,3 ]
Zhao, Zhouzhou [2 ,3 ]
Wu, Ying [2 ,3 ]
Cao, Zhenjie [2 ,3 ]
Zhou, Yongcan [1 ,2 ,3 ]
Sun, Yun [1 ,2 ,3 ]
机构
[1] Hainan Univ, Sanya Nanfan Res Inst, Sanya 572022, Peoples R China
[2] Hainan Univ, Collaborat Innovat Ctr Marine Sci & Technol, Haikou 570228, Peoples R China
[3] Hainan Univ, Coll Marine Sci, Hainan Prov Key Lab Trop Hydrobiol & Biotechnol, Haikou 570228, Peoples R China
来源
ANIMALS | 2023年 / 13卷 / 12期
关键词
biological invasion; invasive species (IS); introduced aquatic animals; risk assessment; analytic hierarchy process (AHP); aquatic ecosystem; BIOLOGICAL INVASIONS; CRASSOSTREA-GIGAS; ECONOMIC COSTS; TRADE; MANAGEMENT; PACIFIC; FISK;
D O I
10.3390/ani13122035
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Simple Summary Invasive species (IS) can upset both aquatic and terrestrial ecosystems which, in turn, can negatively affect production and economic development. Thus, many countries understand the importance of performing risk assessments on the potential for species to invade an ecosystem. Here, we report on our development of a quantitative risk assessment model to estimate the introduction of invasive aquatic animals into China's inland waters. This model is based on the analytic hierarchy process (AHP). We propose that the use of this model can provide the basis to better understand the ecological impact of invasive aquatic animals and also effective protocols for risk management should an invasion take place. 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.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Research on Building Fire Risk Assessment Based on Analytic Hierarchy Process (AHP)
    Chen, Juan-juan
    Fang, Zheng
    Wang, Jun-heng
    Guo, Xiu-ji
    [J]. 2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2014, : 505 - 508
  • [2] PIPELINE RISK ASSESSMENT USING ANALYTIC HIERARCHY PROCESS (AHP)
    Yasseri, Sirous F.
    Mahani, R. B.
    [J]. OMAE2011: PROCEEDINGS OF THE ASME 30TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, VOL 4: PIPELINE AND RISER TECHNOLOGY, 2011, : 1 - +
  • [3] An Information System Security Risk Assessment Model Based on Fuzzy Analytic Hierarchy Process
    Liu Dong-liang
    Yang Shi-song
    [J]. 2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 874 - 877
  • [4] Risk Assessment of Electromagnetic Spectrum Utilization Based on Analytic Hierarchy Process (AHP) and Borda method
    Li, You
    Zhu, Xuan
    Wu, Bing
    Jiang, Shui-qiao
    Liu, Han
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 189 - 193
  • [5] Capacity Assessment of University Teachers based on Analytic Hierarchy Process (AHP)
    He, Sanbao
    [J]. PSYCHOLOGY, MANAGEMENT AND SOCIAL SCIENCE, 2013, 16 : 22 - 27
  • [6] Risk Assessment of Enterprise Accounting Information System Based on Analytic Hierarchy Process
    Xiao Ling-fang
    [J]. 2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 954 - 958
  • [7] Accounting Information System Risk Assessment Algorithm based on Analytic Hierarchy Process
    Li Zeng-xin
    Rong Xin-yan
    [J]. 2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 72 - 75
  • [8] Multi hazards risk assessment of Indian Sundarbans using GIS based Analytic Hierarchy Process (AHP)
    Bera, Rakesh
    Maiti, Ramkrishna
    [J]. REGIONAL STUDIES IN MARINE SCIENCE, 2021, 44
  • [9] Comparison of Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (f-AHP) for the Sustainability Assessment of a Water Supply Project
    Natarajan N.
    Vasudevan M.
    Dineshkumar S.K.
    Anuja R.
    [J]. Journal of The Institution of Engineers (India): Series A, 2022, 103 (04) : 1029 - 1039
  • [10] ERP Implementation Risk Assessment Based on Analytic Hierarchy Process
    Huang, Li
    Zhu, Bing
    Han, Bing
    [J]. PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2, 2013,