Nectopsyche multilineata Flint 1983

Nectopsyche multilineata Flint 1983 ** Material examined. BRAZIL: Piauí: Coivaras, Riacho do Boi, Cachoeira da Campeira, 05°11’45.1”S, 42°15’33.9W, el. 177 m, 1 male, 12.iii.2017, L. R. C. Lima leg., Pennsylvania insect light trap (CEHJ); Novo Santo Antônio, Cachoeira da Coruja, 05°22’02.6”S, 41°59’52.9”W, el. 150 m, 1 female, 29.iii.2018, L. R. C. Lima leg., Light trap (CEHJ); Batalha, Rio Longá, Cachoeira do Urubu, 03°54’47.9”S, 42° 6’47.70”W, el. 80 m, 5 males, 07.ix.2018, L.A.S. Moreno leg., light trap (CEHJ). Known distribution. ARGENTINA, BRAZIL (Roraima), and VENEZUELA. Remarks. This species was reported from Piauí by Takiya et al. (2016) as Nectopsyche cf. multilineata, having the need to confirm its identity. We confirmed the presence of N. multilineata from Piauí based on six males collected in three municipalities. Besides that, its presence in this study represents the first record for Northeastern Brazil.
Published as part of Moreno, Lucas A. S., Desidério, Gleison Robson, De Souza, Wagner Rafael M. & Lima, Lucas R. C., 2020, Updated checklist of caddisflies (Insecta: Trichoptera) from the state of Piauí Northeast Brazil, including a new species and new geographical records, pp. 257-272 in Zootaxa 4838 (2) on page 266, DOI: 10.11646/zootaxa.4838.2.6, http://zenodo.org/record/4403914
{"references":["Flint, O. S. Jr. (1983) Studies of Neotropical caddisflies, XXXIII: New species from austral South America (Trichoptera). Smithsonian Contributions to Zoology, 377, i-vi + 1 - 100. https: // doi. org / 10.5479 / si. 00810282.377","Takiya, D. M., Santos, A. P. M., Pinto, A. P., Henriques-Oliveira, A. L., Carvalho, A. L., Sampaio, B. H. L., Clarkson, B., Moreira, F. F. F., Avelino-Capistrano, F., Goncalves, I. C., Cordeiro, I. R. S., Camara, J. T., Barbosa, J. F., Souza, W. R. M. & Rafael, J. (2016) Aquatic Insects from the Caatinga: Checklists and diversity assessments of Ubajara (Ceara State) and Sete Cidades (Piaui State) National Parks, Northeastern Brazil. Biodiversity Data Journal, 4, e 8354. https: // doi. org / 10.3897 / BDJ. 4. e 8354"]}