| Autor: |
Sridhar, Venkataramana, Wu, S., Shi, B., Marathe, Achla, Sah, L.P., Giri, A.P., Colavito, L.A., Nitin, K.S., Asokan, R., Muniappan, Rangaswamy (Muni), Norton, George W., Adiga, A., Eubank, Stephen |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Popis: |
Trade and transport of goods is widely accepted as a primary pathway for the introduction and dispersal of invasive species. However, understanding commodity flows remains a challenge owing to its complex nature, unavailability of quality data and lack of systematic modeling methods. A robust network-based approach is proposed to model seasonal flow of agricultural produce and examine its role in pest spread. It is applied to study the spread of Tuta absoluta, a devastating pest of tomato in Nepal. Further, the long-term establishment potential of the pest and its economic impact on the country are assessed. Preliminary analyses indicate that T. absoluta will invade most major tomato production regions within a year of introduction and the economic impact of invasion could range from $17-25 million. The proposed approach is generic and particularly suited for data-poor scenarios. This work was supported in part by the United States Agency for International Development under the Cooperative Agreement NO. AID-OAA-L-15-00001 Feed the Future Innovation Lab for Integrated Pest Management, DTRA CNIMS Contract HDTRA1-11-D-0016-0001, NSF BIG DATA Grant IIS-1633028, NSF DIBBS Grant ACI-1443054, NIH Grant 1R01GM109718 and NSF NRT-DESE Grant DGE-154362. G.N. was also partly supported by Virginia Agricultural Experiment Station project VA-136324. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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