Résumé. — Psocoptères des nids d'Oiseaux (Aves : Ploceidae) en Guinée Équa- toriale (Afrique de l'Ouest). — Ce travail concerne les Psocoptères recueillis dans des nids d'oiseaux en Guinée Équatoriale. Espèces présentes : Liposcelis margi- nepunctatus Badonnel ; L. bostrychophylus Badonnel ; Rhyopsocus afer Badon- nel ; Nanopsocus oceanicus Pearman et Ectopsocus titschaki Jentsch. D'autre part, Rhyopsocus nidicola, n. sp. est décrit comme nouvelle espèce.
Summary. — This paper treats species of Psocoptera that hâve been found in wea- ver bird nests in Equatorial Guinea. The following species were présent : Lipos- celis marginepunctatus Badonnel ; L. bostrychophylus Badonnel ; Rhyopsocus afer Badonnel ; Nanopsocus oceanicus Pearman and Ectopsocus titschaki Jentsch. A new species, Rhyopsocus nidicola, is described and illustrated.
Some species of Psocids hâve been recorded in nests of différent bird species (Badon- nel, 1967; Hicks, 1959; New, 1972; Rapp, 1961; Garcia-Aldrete, 1988; Wlodarczyk, 1963). Wlodarczyk & Martini (1969) hâve also studied quantitatively the occurrence of Psocids in bird nests in the Lodz Uplands of Poland, and Mockford (1967) recorded Psocids from plumage of five species of birds.
The association between the Psocids and the birds in the nest is not parasitic because the Psocids feed on the microflorae (fungi, lichens, algae, etc.) that grow on the nest material. Moreover, Psocids find favourable conditions to live in the bird nests.
The purpose of this paper is to describe a small collection of Psocids from weaver bird nests in Rio Muni (Equatorial Guinea) sent to me by Dr. V.J. Monserrat, The mate- rial includes 48 spécimens of six species, one of which is new and described below.
Methods
Measurements of the new species were made in temporary (in Hoyer's médium) mounts. Abbreviations used in connection with the figures are as follows : — BL = body length.
Le texte affiché peut comporter un certain nombre d'erreurs. En effet, le mode texte de ce document a été généré de façon automatique par un programme de reconnaissance optique de caractères (OCR). Le taux de reconnaissance estimé pour ce document est de 99.98%.
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