{"id":2596,"date":"2012-08-02T09:07:10","date_gmt":"2012-08-02T08:07:10","guid":{"rendered":"http:\/\/www.fachzeitungen.de\/fachbeitraege\/?p=2596"},"modified":"2012-08-02T09:07:10","modified_gmt":"2012-08-02T08:07:10","slug":"die-lernfaehigkeit-des-schmetterlings","status":"publish","type":"post","link":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/die-lernfaehigkeit-des-schmetterlings-102596\/","title":{"rendered":"Die Lernf\u00e4higkeit des Schmetterlings"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" title=\"Springer-Fachzeitschrift Naturwissenschaften - The Science of Nature \" 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\" alt=\"\" width=\"101\" height=\"130\" \/>Insekten lernen schneller, wenn sie mit Nektar belohnt werden<\/p> <p>Schmetterlinge lernen schneller, wenn sie eine ertragreiche Blume anfliegen, und Weibchen haben gegen\u00fcber den M\u00e4nnchen die Nase vorn, wenn es um das Lerntempo mit Belohnung geht. Dies sind die Forschungsergebnisse einer neuen Studie von Dr. Ikuo Kandori und Takafumi Yamaki von der Kinki-Universit\u00e4t in Japan. Ihre Arbeit erscheint in der Online-Ausgabe der Springer-Fachzeitschrift Naturwissenschaften &#8211; The Science of Nature und untersucht und vergleicht zum ersten Mal die Lerngeschwindigkeit von Insekten bei lohnenden und nicht-lohnenden Erfahrungen.<\/p> <p><!--more-->Lernen ist ein fundamentaler Mechanismus zur Verhaltensanpassung an Umweltver\u00e4nderungen. Bei Insekten werden drei Hauptarten des Lernens unterschieden: Beim Lernen durch Belohnung bilden Insekten eine positive Verbindung zwischen visuellen und\/oder geruchlichen Hinweisen wie beispielsweise Nektar. Bei aversivem Lernen verbinden Insekten negative visuelle und\/oder geruchliche Hinweise mit negativen Impulsen wie beispielsweise Salz, Ersch\u00fctterungen oder Gifte. Beim Lernen ohne Belohnung werden Hinweise ohne Belohnung verkn\u00fcpft. Bisher gibt es nur sehr wenige Studien, die das Lernverhalten ohne Belohnung bei best\u00e4ubenden Insekten, einschlie\u00dflich dem Schmetterling Byasa alcinous, untersucht haben.<\/p> <p>In einer Reihe von vier Experimenten untersuchten Dr. Kandori und Yamaki die Lernf\u00e4higkeit des Schmetterlings bei der Nahrungssuche mit Belohnung (mit Nektar) und ohne Belohnung (kein Nektar) auf k\u00fcnstlichen Blumen mit unterschiedlicher Farbe. Die Wissenschaftler verglichen das Lerntempo mit und ohne Belohnung.<\/p> <p>Sie fanden heraus, dass die Schmetterlinge die Blumenfarbe nicht nur mit Blumen mit Nektar sondern auch mit Blumen ohne Nektar in Verbindung brachten. Diese Forschungsergebnisse zeigen, dass der Schmetterling bei der Nahrungssuche sowohl das Lernverhalten mit Belohnung als auch das Lernverhalten ohne Belohnung einsetzte. Dar\u00fcber hinaus lernten die Schmetterlinge schneller mit Belohnung als ohne; dabei lernten Weibchen schneller als M\u00e4nnchen.<\/p> <p>Die Autoren kommen zur Schlussfolgerung: \u201eDer Byasa alcinous kann die belohnenden Blumenarten effizienter \u00fcber beide Lernverhalten &#8211; mit und ohne Belohnung &#8211; finden. Insekten k\u00f6nnen eine bestimmte Blume aufgrund angeborener Pr\u00e4ferenz aufsuchen. Falls die Blume Nektar enth\u00e4lt und dadurch lohnend ist, konzentrieren sie sich rasch zunehmend auf diese Blumenart durch das Lernen mit Belohnung. Falls die Blumenart keine Belohnung bietet und weit verbreitet ist, wird bei h\u00e4ufigen Besuchen das Lernen ohne Belohnung gef\u00f6rdert, um diese Blumenart zu vermeiden. Der Schmetterling kann anschlie\u00dfend neue lohnende Blumenarten mit reduziertem Energie- und Zeitverlust identifizieren, wenn er auf solchen \u00fcppigen, von Natur aus attraktiven, aber nicht lohnenswerten Blumenarten keine Nahrung mehr sucht.\u201c<\/p> <p>Quelle<br \/> Kandori I &amp; Yamaki T (2012). Reward and non-reward learning of flower colours in the butterfly Byasa alcinous (Lepidoptera: Papilionoidae). Naturwissenschaften \u2013 The Science of Nature; DOI 10.1007\/s00114-012-0952-y<\/p> <p>Der Volltext-Artikel ist f\u00fcr Journalisten auf Anfrage verf\u00fcgbar.<\/p> <p>Kontakt: Joan Robinson, <a target=\"_blank\" rel=\"nofollow\" href=\"http:\/\/www.springer.com\/?SGWID=1-102-0-0-0\" title=\"Der Wissenschaftsverlag\" >Springer<\/a>, Tel.: +49-6221-487-8130, joan.robinson@springer.com<\/p>","protected":false},"excerpt":{"rendered":"<p>Insekten lernen schneller, wenn sie mit Nektar belohnt werden Schmetterlinge lernen schneller, wenn sie eine ertragreiche Blume anfliegen, und Weibchen haben gegen\u00fcber den M\u00e4nnchen die Nase vorn, wenn es um das Lerntempo mit Belohnung geht. Dies sind die Forschungsergebnisse einer neuen Studie von Dr. Ikuo Kandori und Takafumi Yamaki von der Kinki-Universit\u00e4t in Japan. Ihre<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[127],"tags":[],"class_list":["post-2596","post","type-post","status-publish","format-standard","hentry","category-mathematik-naturwissenschaften"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/posts\/2596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/comments?post=2596"}],"version-history":[{"count":0,"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/posts\/2596\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/media?parent=2596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/categories?post=2596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fachzeitungen.de\/fachbeitraege\/wp-json\/wp\/v2\/tags?post=2596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}