Leveraging social media and other online data to study animal behavior

被引:0
|
作者
Vardi, Reut [1 ,2 ,3 ]
Soriano-Redondo, Andrea [4 ,5 ]
Gutierrez, Jorge S. [6 ,7 ]
Dylewski, Lukasz [8 ]
Jagiello, Zuzanna [9 ]
Mikula, Peter [10 ,11 ,12 ]
Berger-Tal, Oded [13 ]
Blumstein, Daniel T. [14 ]
Jaric, Ivan [15 ,16 ]
Sbragaglia, Valerio [17 ]
机构
[1] Univ Oxford, Sch Geog & Environm, Oxford, England
[2] Univ Oxford, Dept Zool, WildCRU, Recanati Kaplan Ctr, Oxford, England
[3] Tel Aviv Univ, Sch Zool, Tel Aviv, Israel
[4] Univ Lisbon, Ctr Ecol Aplicada Prof Baeta Neves, InBIO Lab Associado,Inst Super Agronom, CEABN, Lisbon, Portugal
[5] Univ Helsinki, Dept Geosci & Geog, Helsinki Lab Interdisciplinary Conservat Sci HELIC, Helsinki, Finland
[6] Univ Extremadura, Fac Sci, Dept Anat Cell Biol & Zool, Badajoz, Spain
[7] Univ Extremadura, Fac Sci, Ecol Anthropocene, Associated Unit CSIC UEX, Badajoz, Spain
[8] Poznan Univ Life Sci, Dept Zool, Poznan, Poland
[9] Univ Warsaw, Inst Evolutionary Biol, Fac Biol, Biol & Chem Res Ctr, Warsaw, Poland
[10] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic
[11] Tech Univ Munich, TUM Sch Life Sci, Ecoclimatol, Freising Weihenstephan, Germany
[12] Tech Univ Munich, Inst Adv Study, Garching, Germany
[13] Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Mitrani Dept Desert Ecol, Bangor, Israel
[14] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA
[15] Univ Paris Saclay, CNRS, AgroParisTech, Ecol Systemat Evolut, Gif Sur Yvette, France
[16] Czech Acad Sci, Inst Hydrobiol, Biol Ctr, Ceske Budejovice, Czech Republic
[17] Inst Marine Sci ICM CSIC, Dept Marine Renewable Resources, Barcelona, Spain
关键词
LEARN;
D O I
10.1371/journal.pbio.3002793
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The widespread sharing of information on the Internet has given rise to ecological studies that use data from digital sources including digitized museum records and social media posts. Most of these studies have focused on understanding species occurrences and distributions. In this essay, we argue that data from digital sources also offer many opportunities to study animal behavior including long-term and large-scale comparisons within and between species. Following Nikko Tinbergen's classical roadmap for behavioral investigation, we show how using videos, photos, text, and audio posted on social media and other digital platforms can shed new light on known behaviors, particularly in a changing world, and lead to the discovery of new ones. Data from digital sources offer many opportunities to study animal behavior. Following Niko Tinbergen's classical roadmap for behavioral investigation, this essay shows how using videos, photos, text, and audio posted online can shed new light on known behaviors and lead to the discovery of new ones.
引用
收藏
页数:13
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