Abstract
Methods are proposed as a contribution towards the formalization of an approach to the selection and introduction of entomophagous insects. Once the critical resources necessary for the reproduction and survival of a predator or parasitoid have been identified, sites are arranged to sample these insects in different grades of the same critical factor. These grades of a resource may be ranked, and organized on gradients, or unranked, but in both cases the range of samples represents a resource set. The entomophagous insect distributions on these sets are analyzed and quantified by formulae that show the breadth of a species distribution, the similarity between distributions, and the interaction species will experience on each of the resource sets. These calculations can assist in selecting the best species for introduction into an area with a known species composition and distribution.
Résumé
Nous proposons ici des méthodes en vue d’une approche théorique du choix et de l’introduction d’Insectes entomophages. Une fois établis les besoins nécesaires aux organismes pour leur reproduction et leur survie, on choisit des sites afin d’échantillonner les Insectes en fonction des degrés d’un certain facteur critique. Quelle que soit la forme des gradients utilisés la répartition des échantillons doit être représentative des composantes du milieu. La distribution des entomophages d’après ces composantes est anlysée et quantifiée au moyen d’une formule qui montre l’aire de distribution d’un espèce, la similitude entre les distributions, et l’interaction à laquelle chaque espèce devra faire face dans chacun des groupes de composantes. Ces calculs peuvent être d’une grande utilité dans le choix de la meilleure espèce à introduire dans une région dont on connaît la composition et la distribution des espèces.
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Price, P.W. Methods of sampling and analysis for predictive results in the introduction of entomophagous insects. Entomophaga 17, 211–222 (1972). https://doi.org/10.1007/BF02371131
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DOI: https://doi.org/10.1007/BF02371131