| Literature DB >> 32579871 |
Daniel H Janzen1, Winnie Hallwachs1, Guillermo Pereira2, Roger Blanco3, Alejandro Masis4, Maria Marta Chavarria5, Felipe Chavarria5, Adrian Guadamuz2, Magaly Araya2, M Alex Smith6, Johan Valerio7, Hartman Guido7, Eddy Sanchez7, Sergio Bermudez7, Kate Perez8, Ramya Manjunath8, Sujeevan Ratnasingham8, Brianne St Jacques8, Megan Milton8, Jeremy R DeWaard8, Evgeny Zakharov8, Suresh Naik8, Mehrdad Hajibabaei6, Paul D N Hebert8, Motohiro Hasegawa9.
Abstract
We report one year (2013-2014) of biomonitoring an insect community in a tropical old-growth rain forest, during construction of an industrial-level geothermal electricity project. This is the first-year reaction by the species-rich insect biodiversity; six subsequent years are being analyzed now. The site is on the margin of a UNESCO Natural World Heritage Site, Área de Conservación Guanacaste (ACG), in northwestern Costa Rica. This biomonitoring is part of Costa Rica's ongoing efforts to sustainably retain its wild biodiversity through biodevelopmental integration with its societies. Essential tools are geothermal engineering needs, entomological knowledge, insect species-rich forest, government-NGO integration, common sense, DNA barcoding for species-level identification, and Malaise traps. This research is tailored for integration with its society at the product level. We combine an academic view with on-site engineering decisions. This biomonitoring requires alpha-level DNA barcoding combined with centuries of morphology-based entomological taxonomy and ecology. Not all desired insect community analyses are performed; they are for data from subsequent years combined with this year. We provide enough analysis to be used by both guilds now. This biomonitoring has shown, for the first year, that the geothermal project impacts only the biodiversity within a zone less than 50 m from the project margin.Entities:
Keywords: Costa Rica; DNA barcode; ICE/ACG/SINAC/MINAE/GDFCF; biomonitoring with insects; biosurveillance d’insectes; codes-barres à l’ADN; geothermal project; projet de géothermie
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Year: 2020 PMID: 32579871 DOI: 10.1139/gen-2020-0002
Source DB: PubMed Journal: Genome ISSN: 0831-2796 Impact factor: 2.166