دورية أكاديمية
Network analysis of intra- and interspecific freshwater fish interactions using year-around tracking.
| العنوان: | Network analysis of intra- and interspecific freshwater fish interactions using year-around tracking. |
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| المؤلفون: | Vanovac S; Computer Science Department, Furman University, Greenville, SC 29613, USA., Howard D; Computer Science Department, Furman University, Greenville, SC 29613, USA., Monk CT; Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany., Arlinghaus R; Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany.; Division of Integrative Fisheries Management, Faculty of Life Sciences and Integrative Research Institute on Transformations of Human-Environmental Systems, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany., Giabbanelli PJ; Department of Computer Science and Software Engineering, Miami University, Benton Hall 205 W, 510 E High Street, Oxford, OH 45056, USA. |
| المصدر: | Journal of the Royal Society, Interface [J R Soc Interface] 2021 Oct; Vol. 18 (183), pp. 20210445. Date of Electronic Publication: 2021 Oct 20. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Royal Society Country of Publication: England NLM ID: 101217269 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1742-5662 (Electronic) Linking ISSN: 17425662 NLM ISO Abbreviation: J R Soc Interface Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Royal Society, [2004]- |
| مواضيع طبية MeSH: | Carps* , Perches*, Animals ; Ecosystem ; Fresh Water ; Predatory Behavior |
| مستخلص: | A long-term, yet detailed view into the social patterns of aquatic animals has been elusive. With advances in reality mining tracking technologies, a proximity-based social network (PBSN) can capture detailed spatio-temporal underwater interactions. We collected and analysed a large dataset of 108 freshwater fish from four species, tracked every few seconds over 1 year in their natural environment. We calculated the clustering coefficient of minute-by-minute PBSNs to measure social interactions, which can happen among fish sharing resources or habitat preferences (positive/neutral interactions) or in predator and prey during foraging interactions (agonistic interactions). A statistically significant coefficient compared to an equivalent random network suggests interactions, while a significant aggregated clustering across PBSNs indicates prolonged, purposeful social behaviour. Carp ( Cyprinus carpio ) displayed within- and among-species interactions, especially during the day and in the winter, while tench ( Tinca tinca ) and catfish ( Silurus glanis ) were solitary. Perch ( Perca fluviatilis ) did not exhibit significant social behaviour (except in autumn) despite being usually described as a predator using social facilitation to increase prey intake. Our work illustrates how methods for building a PBSN can affect the network's structure and highlights challenges (e.g. missing signals, different burst frequencies) in deriving a PBSN from reality mining technologies. |
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| فهرسة مساهمة: | Keywords: animal behaviour; clustering; dynamic network; predator–prey; social network analysis |
| تواريخ الأحداث: | Date Created: 20211019 Date Completed: 20211029 Latest Revision: 20240403 |
| رمز التحديث: | 20240403 |
| مُعرف محوري في PubMed: | PMC8526167 |
| DOI: | 10.1098/rsif.2021.0445 |
| PMID: | 34665974 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1742-5662 |
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| DOI: | 10.1098/rsif.2021.0445 |