| Literature DB >> 23951120 |
Le T P Nghiem1, Tarek Soliman, Darren C J Yeo, Hugh T W Tan, Theodore A Evans, John D Mumford, Reuben P Keller, Richard H A Baker, Richard T Corlett, Luis R Carrasco.
Abstract
Harmful non-indigenous species (NIS) impose great economic and environmental impacts globally, but little is known about their impacts in Southeast Asia. Lack of knowledge of the magnitude of the problem hinders the allocation of appropriate resources for NIS prevention and management. We used benefit-cost analysis embedded in a Monte-Carlo simulation model and analysed economic and environmental impacts of NIS in the region to estimate the total burden of NIS in Southeast Asia. The total annual loss caused by NIS to agriculture, human health and the environment in Southeast Asia is estimated to be US$33.5 billion (5(th) and 95(th) percentile US$25.8-39.8 billion). Losses and costs to the agricultural sector are estimated to be nearly 90% of the total (US$23.4-33.9 billion), while the annual costs associated with human health and the environment are US$1.85 billion (US$1.4-2.5 billion) and US$2.1 billion (US$0.9-3.3 billion), respectively, although these estimates are based on conservative assumptions. We demonstrate that the economic and environmental impacts of NIS in low and middle-income regions can be considerable and that further measures, such as the adoption of regional risk assessment protocols to inform decisions on prevention and control of NIS in Southeast Asia, could be beneficial.Entities:
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Year: 2013 PMID: 23951120 PMCID: PMC3739798 DOI: 10.1371/journal.pone.0071255
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Conceptual framework of biological invasions by NIS, the impacts generated and the management measures.
NIS are introduced from their native range through trade, travel or intentionally for diverse reasons such as pets or ornamental. Once established the NIS population grows and disperses. The spread of the NIS and the population levels can generate impacts to agriculture, human health and the environment. The estimation of NIS impacts is necessary to allow the generation of evidence-based risk management policies to prevent, control and mitigate the impacts of NIS in Southeast Asia. Pictures: Pomacea caniculata (golden apple snail), Aedes aegypti (dengue vector) and Felis catus (domestic cat). DALYs: disability-adjusted life years measures disease burden.
Figure 2Number of reported environmental invasive species in Southeast Asian countries.
Number of invasive species of environmental importance reported in 10 countries in Southeast Asia in the Global Invasive Species Database, CABI Invasive Species Compendium, Peh (2010), and MacKinnon (2006).
Estimated annual losses caused by non-indigenous species in Southeast Asian countries ($ billion).
| NIS | Mean damage (5th; 95th percentile) |
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|
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| Weeds, insects and pathogens | 21.60 (18.06; 23.05) |
| Pesticides | 3.54 (2.62; 4.58) |
| Rodents (Rattus norvegicus, | 1.88 (1.12; 2.82) |
| Golden apple snail ( | 1.47 (0.81; 2.14) |
| White spot syndrome virus | 0.50 |
| Avian influenza virus | 0.37 (0.21; 0.70) |
| Foot and mouth disease | 0.11 |
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| Dengue fever | 0.95 (0.61–1,38) |
| Human immunodeficiency virus (HIV) | 0.52 |
| Severe Acute Respiratory Syndrome (SARS) | 0.29 (0.16; 0.55) |
| Malaria | 0.09 |
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| Feral cat ( | 1.95 (0.77; 3.13) |
| Feral pigeon ( | 0.15 (0.08; 0.21) |
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5th and 95th percentiles are expressed between parentheses.
Damage costs by non-indigenous species to Southeast Asian countries ($ million).
| Country | Crop pest | Pesticide | Rodents | GAS | WSSV | H5N1 | FMD | SARS | HIV | Dengue | Malaria | Feral cats | Pigeons | Total | %GDP |
|
| 1 | <1 | <1 | <1 | 1 | <1 | 2.6 | 0.02 | |||||||
|
| 384 | 62 | <1 | 5 | 49 | 17 | 10 | 66 | <4 | 590 | 4.58 | ||||
|
| 7,462 | 599 | 127 | 261 | 57 | 323 | 22 | 769 | 59 | 9,357 | 1.10 | ||||
|
| 208 | 28 | 5 | 6 | 5 | 7 | 65 | 2 | 321 | 3.87 | |||||
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| 1,731 | 1,481 | 28 | 23 | 64 | 30 | 128 | 23 | 110 | 7 | 3,649 | 1.31 | |||
|
| 2,279 | 120 | 297 | 16 | 36 | 14 | 7 | 297 | 12 | 3,065 | |||||
|
| 2,418 | 158 | 1,398 | 34 | 93 | 45 | 7 | 81 | 8 | 198 | 23 | 4,382 | 1.95 | ||
|
| 0.5 | <1 | 184 | 16 | 67 | <1 | 1 | 305 | 0.13 | ||||||
|
| 3,927 | 1,941 | 320 | 11 | 161 | 50 | 17 | 227 | 290 | 6 | 287 | 17 | 7,463 | 2.16 | |
|
| 3,190 | 384 | 64 | 139 | 49 | 89 | 23 | 11 | 155 | 22 | 4,102 | 3.31 |
Calculation based on the proportional mean value to the agricultural production value which was averaged over 10 years (2001–2010) [26].
Calculation based on the proportion of pesticide usage in Malaysia, Myanmar and Thailand over 2006–2008 [26].
Rodents damage to rice production and rodenticide cost, the former was calculated as proportional to the value of rice production of each country, average over 10 years (2001–2010); the latter was calculated for three countries (Malaysia, Myanmar, Thailand) proportionate to their average usage [26]. Damage to cocoa, oil palm and coconuts could not be quantified.
Damage by the golden apple snail (GAS) to rice production.
Damage by the White Spot Syndrome Virus (WSSV) calculated as proportional to the production value of aquaculture shrimp species susceptible to the virus in each country averaged over 10 years (2001–2010) [37], susceptible species are banana shrimp (Penaeus merguiensis), blue shrimp (P. stylirostris), giant river prawn (Macrobrachium rosenbergii), giant tiger prawn (P. monodon), Kuruma prawn (P. japonicus), whiteleg shrimp (P. vannamei) [86].
Damage by the avian influenza virus to the poultry industry was calculated based on the mean loss proportional to the poultry population of the countries infected in the 2003–2004 epidemic. The poultry population was averaged over 10 years (2001–2010) [26].
Damage by foot and mouth (FMD) disease.
Losses due to damage by feral cats were calculated as proportional to the land area of each country.
Losses due to feral pigeons were calculated as proportional to the human population of each country.
Project cost was not included since detailed budget allocation to beneficiary countries was unavailable.
Relative economic burden caused by non-indigenous species expressed as a proportion of the national GDP (except for Myanmar where GDP data are unavailable) [81].