Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | Springer Nature Link |
|---|---|
| Author | Budka, Michał Wojas, Lucyna Osiejuk, Tomasz S. |
| Copyright Year | 2014 |
| Abstract | Acoustically identifying individuals may be a helpful technique when it is necessary to monitor animal populations over space and time. Previous studies have largely focused on the theoretical exploitation of vocal individuality or have looked at a small number of individuals. Here, we examined whether vocal individuality can be used to track the movement of individuals within a population (in this case when the number of individuals is greater than 100) and unknown beforehand. As a model species, we used the Corncrake (Crex crex)—a highly secretive bird whose calls are characterized by an individual-specific feature: pulse-to-pulse duration (PPD). When we performed classical discriminant function analyses on PPD, we correctly identified a high percentage of individuals (>98 %), even when sample size was larger than 100. However, a comparison of PPD similarity within and between individuals showed that, while birds can be correctly discriminated, unambiguous identification is impossible when the number of individuals is unknown beforehand. Therefore, we were only able to assess the probability that two calls belonged to the same individual. The results of this study show that acoustic identification in the Corncrake, and probably in other animal species, is mainly useful in detecting general behavioral patterns within populations. For instance, we discovered that more than 50 % of males change territories during the breeding season, probably to find females. Physical marking methods seem to be more reliable to tracking specific individuals. However, those methods usually consider limited numbers of individuals. Therefore, generalizing results to the population scale can also be misleading. Ist es möglich, Individuen innerhalb einer Population akustisch zu identifizieren? Eine akustische Identifikation von Individuen könnte eine nützliche Methode darstellen, wenn es nötig ist, Tierpopulationen über Raum und Zeit zu beobachten. Vorherige Studien haben sich weitgehend darauf konzentriert, stimmliche Individualität theoretisch zu erschließen, oder haben nur eine geringe Zahl von Individuen betrachtet. Hier haben wir untersucht, ob stimmliche Individualität dazu genutzt werden kann, die Bewegungen von zuvor unbekannten Individuen innerhalb einer Population zu verfolgen (d.h. wenn die Individuenzahl größer als 100 ist). Als Modellart haben wir den Wachtelkönig (Crex crex) gewählt, einen ausgesprochen heimlichen Vogel, dessen Rufe durch ein individuelles Merkmal gekennzeichnet sind – die Dauer zwischen Pulsen (PPD). Klassische Diskriminanzfunktionsanalysen der PPD konnten einen hohen Anteil der Individuen (>98 %) korrekt identifizieren, selbst wenn die Stichprobengröße 100 überschritt. Ein Vergleich der PPD-Ähnlichkeit innerhalb von und zwischen Individuen zeigte jedoch, dass, obwohl zwischen den Vögeln korrekt unterschieden werden konnte, eine eindeutige Identifizierung unmöglich ist, wenn die Individuenzahl im Voraus nicht bekannt ist. Daher war es uns lediglich möglich, die Wahrscheinlichkeit abzuschätzen, dass zwei Rufe vom selben Individuum stammen. Die Ergebnisse dieser Studie zeigen, dass eine akustische Identifikation beim Wachtelkönig – und wahrscheinlich auch bei anderen Tierarten – hauptsächlich dazu nützlich ist, generelle Verhaltensmuster innerhalb von Populationen zu ermitteln. Zum Beispiel haben wir herausgefunden, dass mehr als 50 % der Männchen während der Brutsaison ihr Territorium wechseln, wahrscheinlich, um Weibchen zu finden. Markierungsmethoden sind offenbar zuverlässiger, um bestimmte Individuen zu verfolgen. Diese Methoden erfassen normalerweise jedoch nur eine begrenzte Zahl von Individuen, so dass eine Verallgemeinerung von Ergebnissen auf die Populationsebene ebenfalls irreführend sein kann. |
| Starting Page | 481 |
| Ending Page | 488 |
| Page Count | 8 |
| File Format | |
| ISSN | 21937192 |
| Journal | Journal für Ornithologie |
| Volume Number | 156 |
| Issue Number | 2 |
| e-ISSN | 21937206 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-12-23 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Vocal individuality Vocal signature Acoustic discrimination Acoustic identification Tracking individuals Corncrake Zoology Animal Ecology Evolutionary Biology |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|