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Biological invasion risk assessment of Tuta absoluta: mechanistic versus correlative methods
Authors:Ponti  Luigi  Gutierrez  Andrew Paul  de Campos  Mateus Ribeiro  Desneux  Nicolas  Biondi  Antonio  Neteler  Markus
Institution:1.Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), Centro Ricerche Casaccia, Via Anguillarese 301, 00123, Roma, Italy
;2.Center for the Analysis of Sustainable Agricultural Systems Global (CASAS Global), Kensington, CA, 94707, USA
;3.Ecosystem Science, College of Natural Resources, University of California, Berkeley, CA, 94720, USA
;4.Université C?te d’Azur, INRAE, CNRS, UMR-ISA, 06000, Nice, France
;5.Department of Agriculture, Food and Environment, University of Catania, Via Santa Sofia 100, Catania, Italy
;6.mundialis GmbH & Co. KG, K?lnstrasse 99, 53111, Bonn, Germany
;
Abstract:

The capacity to assess invasion risk from potential crop pests before invasion of new regions globally would be invaluable, but this requires the ability to predict accurately their potential geographic range and relative abundance in novel areas. This may be unachievable using de facto standard correlative methods as shown for the South American tomato pinworm Tuta absoluta, a serious insect pest of tomato native to South America. Its global invasive potential was not identified until after rapid invasion of Europe, followed by Africa and parts of Asia where it has become a major food security problem on solanaceous crops. Early prospective assessment of its potential range is possible using physiologically based demographic modeling that would have identified knowledge gaps in T. absoluta biology at low temperatures. Physiologically based demographic models (PBDMs) realistically capture the weather-driven biology in a mechanistic way allowing evaluation of invasive risk in novel areas and climes including climate change. PBDMs explain the biological bases for the geographic distribution, are generally applicable to species of any taxa, are not limited to terrestrial ecosystems, and hence can be extended to support ecological risk modeling in aquatic ecosystems. PBDMs address a lack of unified general methods for assessing and managing invasive species that has limited invasion biology from becoming a more predictive science.

Keywords:
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