Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1098/rstb.2017.0007 |
Disentangling social interactions and environmental drivers in multi-individual wildlife tracking data | |
Calabrese, Justin M.1; Fleming, Christen H.1,2; Fagan, William F.2; Rimmler, Martin3; Kaczensky, Petra4; Bewick, Sharon2; Leimgruber, Peter1; Mueller, Thomas5,6 | |
通讯作者 | Calabrese, Justin M. |
来源期刊 | PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
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ISSN | 0962-8436 |
EISSN | 1471-2970 |
出版年 | 2018 |
卷号 | 373期号:1746 |
英文摘要 | While many animal species exhibit strong conspecific interactions, movement analyses of wildlife tracking datasets still largely focus on single individuals. Multi-individual wildlife tracking studies provide new opportunities to explore how individuals move relative to one another, but such datasets are frequently too sparse for the detailed, acceleration-based analytical methods typically employed in collective motion studies. Here, we address the methodological gap between wildlife tracking data and collective motion by developing a general method for quantifying movement correlation from sparsely sampled data. Unlike most existing techniques for studying the non-independence of individual movements with wildlife tracking data, our approach is derived from an analytically tractable stochastic model of correlated movement. Our approach partitions correlation into a deterministic tendency to move in the same direction termed ’drift correlation’ and a stochastic component called ’diffusive correlation’. These components suggest the mechanisms that coordinate movements, with drift correlation indicating external influences, and diffusive correlation pointing to social interactions. We use two case studies to highlight the ability of our approach both to quantify correlated movements in tracking data and to suggest the mechanisms that generate the correlation. First, we use an abrupt change in movement correlation to pinpoint the onset of spring migration in barren-ground caribou. Second, we show how spatial proximity mediates intermittently correlated movements among khulans in the Gobi desert. We conclude by discussing the linkages of our approach to the theory of collective motion. This article is part of the theme issue ’Collective movement ecology’. |
英文关键词 | caribou correlated diffusion khulan movement correlation indices shared drift wildlife tracking data |
类型 | Article |
语种 | 英语 |
国家 | USA ; Germany ; Austria |
收录类别 | SCI-E |
WOS记录号 | WOS:000428370800004 |
WOS关键词 | ANIMAL MOVEMENT DATA ; CONTINUOUS-TIME ; GROUP NAVIGATION ; FRAMEWORK ; MODELS ; TELEMETRY ; BEHAVIOR ; CARIBOU ; WRONGS ; SCALES |
WOS类目 | Biology |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/212079 |
作者单位 | 1.Smithsonian Conservat Biol Inst, Conservat Ecol Ctr, Front Royal, VA USA; 2.Univ Maryland, Dept Biol, College Pk, MD 20742 USA; 3.Univ Stuttgart, Dept Biol, Stuttgart, Germany; 4.Res Inst Wildlife Ecol, Vienna, Austria; 5.Senckenberg Biodivers & Climate Res Ctr, Frankfurt, Germany; 6.Goethe Univ Frankfurt, Dept Biol Sci, Frankfurt, Germany |
推荐引用方式 GB/T 7714 | Calabrese, Justin M.,Fleming, Christen H.,Fagan, William F.,et al. Disentangling social interactions and environmental drivers in multi-individual wildlife tracking data[J],2018,373(1746). |
APA | Calabrese, Justin M..,Fleming, Christen H..,Fagan, William F..,Rimmler, Martin.,Kaczensky, Petra.,...&Mueller, Thomas.(2018).Disentangling social interactions and environmental drivers in multi-individual wildlife tracking data.PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES,373(1746). |
MLA | Calabrese, Justin M.,et al."Disentangling social interactions and environmental drivers in multi-individual wildlife tracking data".PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 373.1746(2018). |
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