Using Import Data to Predict the Potential of Introduction of Alert Alien Species to South Korea
Abstract
:1. Introduction
2. Materials and Methods
2.1. Species Distribution Database
2.2. Import Data
2.3. Calculation of the Possibility of Introduction
3. Results
3.1. Distribution of AAS
3.2. Import Data
3.3. The Possibility of Introduction
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
- Hulme, P.E. Trade, transport and trouble: Managing invasive species pathways in an era of globalization. J. Appl. Ecol. 2009, 46, 10–18. [Google Scholar] [CrossRef]
- Kim, D.E. Management System of Invasive Alien Species Threating Biodiversity in Korea and Suggestions for the Improvement. J. Environ. Impact Assess. 2018, 27, 33–55. [Google Scholar]
- Park, Y.H.; Kim, J.W.; Jung, H.C. Climate change and ecosystem based management strategies of invasive alien species. Repub. Korea Korea Environ. Inst. 2015. [Google Scholar] [CrossRef]
- Ministry of Environment. Establishment of the 2st Management Plan of Alien Species (2019–2023); Ministry of Environment: Seocheon, Korea, 2019.
- Diagne, C.; Leroy, B.; Vaissière, A.C.; Gozlan, R.E.; Roiz, D.; Jarić, I.; Salles, J.M.; Bradshaw, C.J.; Courchamp, F. High and rising economic costs of biological invasions worldwide. Nature 2021, 592, 571–576. [Google Scholar] [CrossRef] [PubMed]
- 100 Alert Alien Species in Korea (II); Ministry of Environment: Seocheon, Korea, 2021.
- Son, S.H.; Jo, A.R.; Kim, D.E. Current status of alert alien species management for the establishment of proactive management systems in Korea. J. Ecol. Environ. 2021, 45, 26. [Google Scholar]
- Ministry of Environment. Additional Designation of 102 Alert Alien Species; Ministry of Environment: Seocheon, Korea, 2021.
- Chapman, D.S.; Makra, L.; Albertini, R.; Bonini, M.; Páldy, A.; Rodinkova, V.; Šikoparija, B.; Weryszko-Chmielewska, E.; Bullock, J.M. Modelling the introduction and spread of non-native species: International trade and climate change drive ragweed invasion. Glob. Change Biol. 2016, 22, 3067–3079. [Google Scholar] [CrossRef] [Green Version]
- Tatem, A.J.; Hay, S.I. Climatic similarity and biological exchange in the worldwide airline transportation network. Proc. R. Soc. B Biol. Sci. 2007, 274, 1489–1496. [Google Scholar] [CrossRef] [Green Version]
- Drake, J.M.; Lodge, D.M. Global hot spots of biological invasions: Evaluating options for ballast–water management. Proc. R. Soc. Lond. Ser. B Biol. Sci. 2004, 271, 575–580. [Google Scholar] [CrossRef] [Green Version]
- Westphal, M.I.; Browne, M.; MacKinnon, K.; Noble, I. The link between international trade and the global distribution of invasive alien species. Biol. Invasions 2008, 10, 391–398. [Google Scholar] [CrossRef]
- Kim, D.E.; Lee, H.; Ban, Y.-G.; Jo, A.; Park, J.; Kim, M.J. Ecology and Management Manual of Solenopsis invicta in Korea; Ministry of Environment: Seocheon, Korea, 2020.
- Ministry of Environment. Anoplolepis Gracilipes Found in Import Cargo. Pest Control Conducted; Ministry of Environment: Seocheon, Korea, 2019.
- Information for the Field Management of Invasive Alien Species in Korea; Ministry of Environment: Seocheon, Korea, 2021.
- Banks, N.C.; Paini, D.R.; Bayliss, K.L.; Hodda, M. The role of global trade and transport network topology in the human-mediated dispersal of alien species. Ecol. Lett. 2015, 18, 188–199. [Google Scholar] [CrossRef]
- Chapman, D.; Purse, B.V.; Roy, H.E.; Bullock, J.M. Global trade networks determine the distribution of invasive non-native species. Glob. Ecol. Biogeogr. 2017, 26, 907–917. [Google Scholar] [CrossRef]
- Levine, J.M.; D’Antonio, C.M. Forecasting biological invasions with increasing international trade. Conserv. Biol. 2003, 17, 322–326. [Google Scholar] [CrossRef]
- Liebhold, A.M.; Work, T.T.; McCullough, D.G.; Cavey, J.F. Airline baggage as a pathway for alien insect species invading the United States. Am. Entomol. 2006, 52, 48–54. [Google Scholar] [CrossRef] [Green Version]
- Tatem, A.J.; Rogers, D.J.; Hay, S.I. Global transport networks and infectious disease spread. Adv. Parasitol. 2006, 62, 293–343. [Google Scholar] [PubMed]
- Bacon, S.J.; Bacher, S.; Aebi, A. Gaps in border controls are related to quarantine alien insect invasions in Europe. PLoS ONE 2012, 7, e47689. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kim, P.; Yeun, S.; An, H.; Kim, S.H.; Lee, H. Breeding Status and Management System Improvement of Pseudemys concinna and Mauremys sinensis Designated as Invasive Alien Turtles in South Korea. Ecol. Resilient Infrastruct. 2020, 7, 388–395. [Google Scholar]
- Bradie, J.; Chivers, C.; Leung, B. Importing risk: Quantifying the propagule pressure–establishment relationship at the pathway level. Divers. Distrib. 2013, 19, 1020–1030. [Google Scholar] [CrossRef]
- Blackburn, T.M.; Lockwood, J.L.; Cassey, P. The influence of numbers on invasion success. Mol. Ecol. 2015, 24, 1942–1953. [Google Scholar] [CrossRef] [Green Version]
- Cardador, L.; Carrete, M.; Gallardo, B.; Tella, J.L. Combining trade data and niche modelling improves predictions of the origin and distribution of non-native European populations of a globally invasive species. J. Biogeogr. 2016, 43, 967–978. [Google Scholar] [CrossRef] [Green Version]
- Simberloff, D. The role of propagule pressure in biological invasions. Annual Review of Ecology, Evolution, and Systematics 2009, 40, 81–102. [Google Scholar] [CrossRef]
- Moore, B.A. Alien Invasive Species: Impacts on Forests and Forestry—A Review; Forestry Department and Forest Resource Division FAO, FAO Corporate Document Repository: Rome, Italy, 2005.
- Early, R.; Bradley, B.A.; Dukes, J.S.; Lawler, J.J.; Olden, J.D.; Blumenthal, D.M.; Tatem, A.J. Global threats from invasive alien species in the twenty-first century and national response capacities. Nat. Commun. 2016, 7, 1–9. [Google Scholar] [CrossRef] [Green Version]
- Liu, X.; Blackburn, T.M.; Song, T.; Li, X.; Huang, C.; Li, Y. Risks of biological invasion on the belt and road. Curr. Biol. 2019, 29, 499–505. [Google Scholar] [CrossRef] [Green Version]
- Mack, R.N.; Simberloff, D.; Mark Lonsdale, W.; Evans, H.; Clout, M.; Bazzaz, F.A. Biotic invasions: Causes, epidemiology, global consequences, and control. Ecol. Appl. 2000, 10, 689–710. [Google Scholar] [CrossRef]
- Xu, H.; Chen, K.; Ouyang, Z.; Pan, X.; Zhu, S. Threats of Invasive Species for China Caused by Expanding International Trade. Environ. Sci. Technol. 2012, 46, 7063–7064. [Google Scholar] [CrossRef]
- Floerl, O.; Inglis, G.J. Starting the invasion pathway: The interaction between source populations and human transport vectors. Biol. Invasions 2005, 7, 589–606. [Google Scholar] [CrossRef]
- Yemshanov, D.; McKenney, D.W.; Pedlar, J.H.; Koch, F.H.; Cook, D. Towards an integrated approach to modelling the risks and impacts of invasive forest species. Environ. Rev. 2009, 17, 163–178. [Google Scholar] [CrossRef]
Main Category | Subcategory | Item | Classification | |
---|---|---|---|---|
Consumer goods | Direct consumption goods | Agricultural products | All items except for products, by-products, and processed goods | Plants |
Animal products | Live animals | Animals | ||
Marine products | Fish (live fish) | |||
Crustaceans (not smoked) | ||||
Shellfish (live, fresh, refrigerated) | ||||
Squids (live, fresh, refrigerated) | ||||
Seaweeds | ||||
Other marine products | ||||
Raw materials | Fuel/raw materials of animals and plants | Agricultural products | Live part of trees | Plants |
Tree seeds | ||||
Flowering plants | ||||
Vegetables and their seeds | ||||
Feedstuff |
No. | HS CODE | Item | Classification |
---|---|---|---|
1 | 0103920000 | Living organisms weighing 50 kg or more, such as pigs | Mammals |
2 | 0106149000 | Other species such as rabbits | Mammals |
3 | 0106193000 | Deer | Mammals |
4 | 0106196090 | Other species such as mink | Mammals |
5 | 0106199000 | Other mammals | Mammals |
6 | 0106201000 | Snakes | Reptiles |
7 | 0106203000 | Turtles | Reptiles |
8 | 0106209000 | Other reptiles | Reptiles |
9 | 0106390000 | Other birds | Birds |
10 | 0106490000 | Other insects | Insects |
11 | 0106901000 | Amphibians | Amphibians |
12 | 0106909000 | Other living organisms | Other animals |
13 | 0301119000 | Live ornamental fish | Fish |
14 | 0301911000 | Salmo trutta, etc. | Fish |
15 | 0301930000 | Carp | Fish |
16 | 0301999070 | Mudfish | Fish |
17 | 0301999080 | Catfish | Fish |
18 | 0306390000 | Crustaceans | Other arthropods |
19 | 0307310000 | Living organisms such as mussels, etc. | Mollusks |
20 | 0410009000 | Animal products | - |
21 | 0602909090 | Plants | Plants |
22 | 1209300000 | Flower seeds | Plants |
23 | 1209999000 | Sowing seeds | Plants |
1 | Possibility of introduction by import | No. of AAS in one country | No. of import |
2 | Possibility of introduction by import of living organisms | No. of AAS in one country | Weight of imported living organisms (ton) |
3 | Possibility of introduction by import of animal products | No. of animals except fish among AAS in one country | Weight of imported animal species (ton) |
4 | Possibility of introduction by import of marine products | No. of fish among AAS in one country | Weight of imported marine species (ton) |
5 | Possibility of introduction by import of 23 HS codes | No. of AAS in one country | Weight of 23 HS codes-related imported AAS (kg) |
Mammals (25) | Reptiles (22) | Amphibians (28) | Fish (84) | Spiders (32) | Plants (99) | |
---|---|---|---|---|---|---|
1 | USA (13) | China (9) | USA (9) | USA (43) | USA (7) | USA (90) |
2 | Mexico (10) | USA (8) | Japan (9) | Russia (40) | Argentina (6) | Australia (71) |
3 | Belgium (8) | Vietnam (8) | China (7) | Rumania (28) | South Africa (4) | Spain (57) |
4 | Italia (8) | Thailand (8) | Spain (6) | Canada (28) | Madagascar (4) | China (54) |
5 | The Czech Republic (8) | Myanmar (7) | UK (6) | Germany (27) | Israel (4) | India (50) |
6 | Croatia (8) | Bangladeshi (7) | France (6) | Bulgaria (27) | India (4) | France (50) |
7 | France (8) | India (7) | Taiwan (5) | France (26) | Canada (4) | Mexico (47) |
8 | Belarus (7) | Indonesia (7) | Denmark (5) | Ukraine (25) | Australia (4) | Argentina (43) |
9 | Slovakia (7) | Laos (6) | Germany (5) | China (25) | Russia (3) | Italia (42) |
10 | Austria (7) | Malaysia (6) | Mexico (5) | Kazakhstan (25) | United Arab Emirates (3) | New Zealand (41) |
The Total Number of Trading Countries | The Number of Relevant Countries | Total Weight | Agricultural Products | Animal Products | Marine Products | |
---|---|---|---|---|---|---|
Asia | 32 | 27 | 22,132,038 (14.30%) | 21,932,304 (14.20%) | 3265 (43.50%) | 196,469 (57.52%) |
North America | 2 | 2 | 63,442,312 (40.99%) | 63,427,137 (41.07%) | 2106 (28.06%) | 13,069 (3.83%) |
Latin America | 54 | 29 | 30,823,371 (19.91%) | 30,804,156 (19.95%) | 189 (2.52%) | 19,027 (5.57%) |
Europe | 58 | 40 | 21,664,536 (14.00%) | 21,576,766 (13.97%) | 1798 (23.96%) | 86,001 (25.18%) |
Oceania | 14 | 7 | 15,077,894 (9.74%) | 15,077,620 (9.76%) | 136 (1.81%) | 139 (0.04%) |
Africa | 56 | 36 | 1,572,800 (1.02%) | 1,569,256 (1.02%) | 10 (0.13%) | 3,543 (1.04%) |
Middle East | 21 | 16 | 69,239 (0.04%) | 45,921 (0.03%) | 2 (0.03%) | 23,316 (6.83%) |
Islands of Oceania | 18 | - | - | - | - | - |
Total | 255 | 157 | 154,782,190 (100%) | 154,433,158 (100%) | 7506 (100%) | 341,564 (100%) |
Order | Total Sum | Agricultural Products | Animal Products | Marine Products | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Country | Weight (ton) | Order | Country | Weight (ton) | Order | Country | Weight (ton) | Order | Country | Weight (ton) | |
1 | USA | 60,331,124 | 1 | USA | 60,316,747 | 1 | China | 2896 | 1 | Vietnam | 171,554 |
2 | Brazil | 16,629,299 | 2 | Brazil | 16,629,275 | 2 | USA | 1308 | 2 | Russian Federation | 80,531 |
3 | Australia | 14,522,032 | 3 | Australia | 14,521,950 | 3 | Netherlands | 1036 | 3 | Malaysia | 19,745 |
4 | China | 11,804,020 | 4 | China | 11,801,124 | 4 | Canada | 798 | 4 | Bahrain | 13,168 |
5 | Argentina | 10,263,207 | 5 | Argentina | 10,253,066 | 5 | Denmark | 191 | 5 | USA | 13,069 |
6 | Ukraine | 7,574,825 | 6 | Ukraine | 7,574,824 | 6 | France | 188 | 6 | Argentina | 10,132 |
7 | Russian Federation | 6,873,080 | 7 | Russian Federation | 6,792,538 | 7 | Bahamas | 178 | 7 | Mexico | 7826 |
8 | Philippines | 3,780,228 | 8 | Philippines | 3,780,225 | 8 | Germany | 169 | 8 | Saudi Arabia | 6166 |
9 | Vietnam | 3,352,726 | 9 | Serbia | 3,225,854 | 9 | Japan | 168 | 9 | Norway | 4373 |
10 | Serbia | 3,225,855 | 10 | Vietnam | 3,181,165 | 10 | Indonesia | 130 | 10 | Morocco | 3970 |
11 | Canada | 3,111,188 | 11 | Canada | 3,110,391 | 11 | Australia | 82 | 11 | Myanmar | 3629 |
12 | Paraguay | 1,883,921 | 12 | Paraguay | 1,883,921 | 12 | Spain | 55 | 12 | Namibia | 2709 |
13 | Thailand | 1,875,191 | 13 | Thailand | 1,875,142 | 13 | New Zealand | 53 | 13 | Taiwan | 821 |
Continent | Total Weight | Mammals | Reptiles | Birds | Insects | Amphibians | Fish | OtherArthropods | Mollusks | Plants | Other Animals | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Asia | 66,415,365 (94.324%) | 226,281 (0.34%) | 39,823 (0.06%) | 110 (0.00%) | 41 (0.00%) | 99,430 (0.15%) | 53,957,360 (81.24%) | 3345 (0.01%) | 12,088,971 (18.20%) | 4 (0.00%) | (100%) | |
2 | North America | 1,624,946 (2.308%) | 41,564 (2.56%) | 6256 (0.38%) | 98 (0.01%) | 593 (0.04%) | 1108 (0.07%) | 215 (0.01%) | 31 (0.00%) | 1,574,990 (96.93%) | 91 (0.00%) | (100%) | |
3 | Europe | 952,508 (1.353%) | 38,966 (4.09%) | 4257 (0.45%) | 1633 (0.17%) | 144,931 (15.22%) | 297 (0.03%) | 3973 (0.42%) | 1 (0.00%) | 174,118 (18.28%) | 519,691 (54.56%) | 64,641 (6.79%) | (100%) |
4 | Africa | 9890 (0.014%) | 715 (7.23%) | 5164 (52.21%) | 22 (0.22%) | 278 (2.81%) | 941 (9.51%) | 2756 (27.87%) | 14 (0.14%) | (100%) | |||
5 | Oceania | 9908 (0.014%) | 1755 (17.71%) | 14 (0.14%) | 13 (0.13%) | 137 (1.38%) | 171 (1.73%) | 7445 (75.14%) | 368 (3.71%) | 5 (0.05%) | (100%) | ||
6 | Lain America | 1,397,362 (1.985%) | 576 (0.04%) | 581 (0.04%) | 20 (0.00%) | 28 (0.00%) | 15,900 (1.14%) | 1,380,257 (98.78%) | (100%) | ||||
7 | Middle East | 2105 (0.003%) | 504 (23.94%) | 1416 (67.27%) | 3 (0.14%) | 19 (0.90%) | 120 (5.70%) | 36 (1.71%) | 7 (0.33%) | (100%) | |||
Total | 70,412,084 (100%) | 310,361 (0.44%) | 57,511 (0.08%) | 1883 (0.00%) | 145,581 (0.21%) | 101,160 (0.14%) | 53,978,646 (79.66%) | 3517 (0.00%) | 181,594 (0.26%) | 15,567,069 (22.11%) | 64,762 (0.09%) |
Mammals | Reptiles | Birds | Insects | Amphibians | Fish | OtherArthropods | Mollusks | Plants | Other Animals | |
---|---|---|---|---|---|---|---|---|---|---|
1 | Japan (149,950) | USA (32,343) | Netherlands (946) | Netherlands (134,029) | China (98,138) | China (53,838,992) | Indonesia (1990) | Russia (174,118) | China (9,930,594) | Netherlands (48,062) |
2 | China (73,420) | China (5352) | Spain (320) | Belgium (6700) | USA (947) | Indonesia (52,792) | Thailand (469) | New Zealand (7445) | USA (1,558,018) | Belgium (8619) |
3 | Denmark (23,780) | Nicaragua (3702) | Germany (210) | Spain (3826) | Indonesia (691) | Sri Lanka (30,069) | China (351) | Canada (31) | Indonesia (1,553,410) | Spain (7701) |
4 | USA (21,717) | Peru (2856) | Czech (100) | USA (560) | Hong Kong (208) | Singapore (25,050) | Singapore (282) | Costa Rica (1,329,013) | Germany (250) | |
5 | Canada (19,847) | Venezuela (1977) | USA (88) | Austria (171) | Togo (206) | Columbia (10,149) | Taiwan (252) | Netherlands (415,894) | USA (90) | |
6 | Netherlands (5118) | Syria (1912) | Philippines (58) | Turkey (130) | Netherlands (161) | Taiwan (6633) | Australia (171) | Thailand (288,593) | UK (9) | |
7 | Germany (2343) | Ghana (1909) | Japan (52) | Switzerland (39) | Canada (161) | Peru (5656) | Germany (1) | Philippines (109,801) | Togo (8) | |
8 | France (2103) | Mauritius (904) | Portugal (40) | Canada (33) | Taiwan (120) | Japan (2662) | Sri Lanka (1) | Taiwan (73,855) | Egypt (7) | |
9 | Russia (1860) | Jordan (634) | Tanzania (22) | Germany (25) | Japan (103) | Germany (2428) | Guatemala (43,811) | Australia (5) | ||
10 | Australia (1662) | Belize (557) | Argentina (20) | Japan (22) | Singapore (100) | Czech (1393) | Denmark (39,513) | Ghana (2) | ||
Other countries (8561) | Other countries (5365) | Other countries (27) | Other countries (46) | Other countries (325) | OtherCountries (2822) | Other countries (244,567) | Other countries (9) | |||
Total | 310,361 | 57,511 | 1883 | 145,581 | 101,160 | 53,978,646 | 3517 | 181,594 | 15,567,069 | 64,762 |
Country Order | |||||
---|---|---|---|---|---|
1 | USA (1.000) | USA (1.000) | China (0.704) | Russia (0.417) | China (0.615) |
2 | China (0.212) | Australia (0.136) | USA (0.452) | Vietnam (0.200) | USA (0.025) |
3 | Germany (0.075) | China (0.120) | Canada (0.106) | USA (0.076) | Indonesia (0.007) |
4 | Japan (0.070) | Brazil (0.086) | Netherlands (0.090) | Malaysia (0.026) | Costa Rika (0.005) |
5 | Italy (0.025) | Argentina (0.090) | Japan (0.037) | Mexico (0.024) | Netherlands (0.003) |
6 | Australia (0.023) | Russia (0.052) | France (0.028) | Norway (0.010) | Thailand (0.001) |
7 | UK (0.013) | Ukraine (0.043) | Indonesia (0.021) | Argentina (0.008) | Russia (0.001) |
8 | New Zealand (0.012) | Canada (0.021) | Germany (0.019) | Morocco (0.006) | Japan (0.001) |
9 | France (0.011) | Vietnam (0.016) | Denmark (0.018) | Myanmar (0.003) | Philippines (0.0004) |
10 | Vietnam (0.011) | Philippines (0.016) | Australia (0.014) | Saudi Arabia (0.002) | Taiwan (0.0003) |
Continent Order | |||||
---|---|---|---|---|---|
1 | North America (1.0060) | North America (1.0213) | Asia (0.7736) | Europe (0.4298) | Asia (0.6256) |
2 | Asia (0.3269) | Asia (0.1689) | North America (0.5582) | Asia (0.2301) | North America (0.0251) |
3 | Europe (0.1435) | Latin America (0.1593) | Europe (0.1784) | North America (0.0762) | Europe (0.0052) |
4 | Oceania (0.0354) | Oceania (0.1388) | Oceania (0.0196) | Latin America (0.0327) | Latin America (0.0051) |
5 | Latin America (0.0059) | Europe (0.1318) | Latin America (0.0081) | Middle East (0.0081) | Oceania (0.0001) |
6 | Middle East (0.0009) | Africa (0.0072) | Africa (0.0003) | Africa (0.0006) | Africa (0.00003) |
7 | Africa (0.0005) | Middle East (0.0002) | Middle East (0.0001) | Oceania (0.0001) | Middle East (0.000005) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jo, A.; Son, S.; Kim, D. Using Import Data to Predict the Potential of Introduction of Alert Alien Species to South Korea. Diversity 2022, 14, 910. https://doi.org/10.3390/d14110910
Jo A, Son S, Kim D. Using Import Data to Predict the Potential of Introduction of Alert Alien Species to South Korea. Diversity. 2022; 14(11):910. https://doi.org/10.3390/d14110910
Chicago/Turabian StyleJo, Aram, Seunghun Son, and Dongeon Kim. 2022. "Using Import Data to Predict the Potential of Introduction of Alert Alien Species to South Korea" Diversity 14, no. 11: 910. https://doi.org/10.3390/d14110910
APA StyleJo, A., Son, S., & Kim, D. (2022). Using Import Data to Predict the Potential of Introduction of Alert Alien Species to South Korea. Diversity, 14(11), 910. https://doi.org/10.3390/d14110910