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Catálogo Taxonômico da Fauna do Brasil: Setting the baseline knowledge on the animal diversity in Brazil Brasil
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Boeger, Walter A.
; Valim, Michel P.
; Zaher, Hussam
; Rafael, José A.
; Forzza, Rafaela C.
; Percequillo, Alexandre R.
; Serejo, Cristiana S.
; Garraffoni, André R.S.
; Santos, Adalberto J.
; Slipinski, Adam
; Linzmeier, Adelita M.
; Calor, Adolfo R.
; Garda, Adrian A.
; Kury, Adriano B.
; Fernandes, Agatha C.S.
; Agudo-Padrón, Aisur I.
; Akama, Alberto
; Silva Neto, Alberto M. da
; Burbano, Alejandro L.
; Menezes, Aleksandra
; Pereira-Colavite, Alessandre
; Anichtchenko, Alexander
; Lees, Alexander C.
; Bezerra, Alexandra M.R.
; Domahovski, Alexandre C.
; Pimenta, Alexandre D.
; Aleixo, Alexandre L.P.
; Marceniuk, Alexandre P.
; Paula, Alexandre S. de
; Somavilla, Alexandre
; Specht, Alexandre
; Camargo, Alexssandro
; Newton, Alfred F.
; Silva, Aline A.S. da
; Santos, Aline B. dos
; Tassi, Aline D.
; Aragão, Allan C.
; Santos, Allan P.M.
; Migotto, Alvaro E.
; Mendes, Amanda C.
; Cunha, Amanda
; Chagas Júnior, Amazonas
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; Fernandes, André S.
; Roza, André S.
; Köhler, Andreas
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; Barros, Ávyla R. de A.
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; Albuquerque, Flávio
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; Leite, Yuri L.R.
.
ABSTRACT The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others. publications problem uptodate up date classifications context exception (CTFB http//fauna.jbrj.gov.br/, httpfaunajbrjgovbr http //fauna.jbrj.gov.br/ , jbrj gov br (http://fauna.jbrj.gov.br/) 2015 Brazil 80 specialists 1 2024 133691 133 691 133,69 125138 125 138 125,13 82.3%, 823 82 3 (82.3% 102000 102 000 102,00 7.69%, 769 7 69 (7.69% 11000 11 11,00 . 3,567 3567 567 (3,56 2,292 2292 2 292 (2,29 1,833 1833 833 (1,83 1,447 1447 447 (1,44 1000 1,00 831 (83 628 (62 606 (60 520 (52 50 users science health biology law anthropology education others http//fauna.jbrj.gov.br/ faunajbrjgovbr //fauna.jbrj.gov.br (http://fauna.jbrj.gov.br/ 201 8 202 13369 13 133,6 12513 12 125,1 82.3% (82.3 10200 10 00 102,0 7.69% 76 6 (7.69 1100 11,0 3,56 356 56 (3,5 2,29 229 29 (2,2 1,83 183 83 (1,8 1,44 144 44 (1,4 100 1,0 (8 62 (6 60 52 (5 5 http//fauna.jbrj.gov.br (http://fauna.jbrj.gov.br 20 1336 133, 1251 125, 82.3 (82. 1020 0 102, 7.69 (7.6 110 11, 3,5 35 (3, 2,2 22 (2, 1,8 18 (1, 1,4 14 4 ( 82. (82 7.6 (7. 3, (3 2, (2 (1 7. (7
2.
Diagrammatical scale to quantify herbivory severity on feijoa leaf caused by Paraulaca dives (Coleoptera: Chrysomelidae) Coleoptera (Coleoptera Chrysomelidae
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CARMONA, GILBERTO C.C.
; ANDRADE, GILBERTO S.
; CITADIN, IDEMIR
; ROHR, ANGELA
; SACHET, MARCOS R.
; DONAZZOLO, JOEL
; CAMPOS, JOSÉ R.R.
; DANNER, MOESES A.
.
Abstract The aims of this work were to characterize the damage caused by Paraulaca dives in feijoa (Acca sellowiana) and develop a diagrammatic scale to evaluate the severity of herbivory. The evaluations were carried out in a feijoa progenies orchard with eight-year-old. The beetles caused damage mainly on leaves, from October to December (spring season). The distribution of beetles in the orchard occurred randomly, not following a defined pattern of incidence. The diagrammatic scale of herbivory severity was represented by seven levels (1%, 3%, 5%, 7%, 15%, 32%, and 55% of the leaf area consumed). The use of this diagrammatic scale significantly increased the precision and accuracy of severity estimates by inexperienced evaluators. This can help in strategies to control this pest to expand the cultivation of feijoa in Brazil. Acca sellowiana eightyearold. eightyearold eight year old. old eight-year-old leaves spring season. season . season) randomly incidence 1%, 1 (1% 3 3% 5 5% 7 7% 15 15% 32 32% 55 consumed. consumed consumed) evaluators Brazil 1% (1 (
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You can enrich your search in a very simple way. Use the search indexes combined with the connectors (AND or OR) and specify more your search.
For example, if you want to search for articles about
cases of dengue in Brasil in 2015, use:ti:dengue and publication_year:2015 and aff_country:Brasil
See below the complete list of search indexes that can be used:
Index code | Element |
---|---|
ti | article title |
au | author |
kw | article keywords |
subject | subject (title words, abstract and keywords) |
ab | abstract |
ta | journal short title (e.g. Cad. Saúde Pública) |
journal_title | journal full title (e.g. Cadernos de Saúde Pública) |
la | publication language code (e.g. pt - Portuguese, es - Spanish) |
type | document type |
pid | publication identifier |
publication_year | publication year of publication |
sponsor | sponsor |
aff_country | country code of the author's affiliation |
aff_institution | author affiliation institution |
volume | article volume |
issue | article issue |
elocation | elocation |
doi | DOI number |
issn | journal ISSN |
in | SciELO colection code (e.g. scl - Brasil, col - Colômbia) |
use_license | article usage license code |