scholarly journals Changes in social groups across reintroductions and effects on post-release survival

2018 ◽  
Author(s):  
Victoria R. Franks ◽  
Caitlin E. Andrews ◽  
John G. Ewen ◽  
Mhairi McCready ◽  
Kevin A. Parker ◽  
...  
Keyword(s):  
Social Network ◽  
New Zealand ◽  
Group Composition ◽  
Group Structure ◽  
Social Groups ◽  
Group Cohesion ◽  
Social Environments ◽  
Population Establishment ◽  
Source Site ◽  
Notiomystis Cincta

AbstractReintroductions are essential to many conservation programmes, and thus much research has focussed on understanding what determines the success of these translocation interventions. However, while reintroductions disrupt both the abiotic and social environments, there has been less focus on the consequences of social disruption. Therefore, here we investigate if moving familiar social groups may help animals (particularly naïve juveniles) adjust to their new environment and increase the chances of population establishment. We used social network analysis to study changes in group composition and individual sociality across a reintroduction of 40 juvenile hihi (Notiomystis cincta), a threatened New Zealand passerine. We collected observations of groups before a translocation to explore whether social behaviour before the reintroduction predicted associations after, and whether reintroduction influenced individual sociality (degree). We also assessed whether grouping familiar birds during temporary captivity in aviaries maintained group structure and individual sociality, compared to our normal translocation method (aviaries of random familiarity). Following release, we measured if survival depended on how individual sociality had changed. By comparing these analyses with birds that remained at the source site, we found that translocation lead to re-assortment of groups: non-translocated birds maintained their groups, but translocated juveniles formed groups with both familiar and unfamiliar birds. Aviary holding did not improve group cohesion; instead, juveniles were less likely to associate with aviary-mates. Finally, we found that translocated juveniles that lost the most associates experienced a small but significant tendency for higher mortality. This suggests sociality loss may have represented a disruption that affected their ability to adapt to a new site.

scholarly journals One of the gang: social group dynamics in a juvenile passerine bird

2018 ◽  
Author(s):  
Victoria R. Franks ◽  
John G. Ewen ◽  
Mhairi McCready ◽  
J. Marcus Rowcliffe ◽  
Donal Smith ◽  
...  
Keyword(s):  
Social Network ◽  
Group Dynamics ◽  
Group Structure ◽  
Social Groups ◽  
Information Use ◽  
Passerine Bird ◽  
Potential Benefits ◽  
Behavioural Interactions ◽  
Social Information Use ◽  
Social Associations

AbstractLiving in groups comes with many potential benefits, especially for juveniles. Naïve individuals may learn how to forage, or avoid predators through group vigilance. Understanding these benefits, however, requires an appreciation of the opportunities juveniles have to associate with (and learn from) others. Here we describe social groups in terms of residency, movement, relatedness, and social associations from the perspective of juvenile hihi, a threatened New Zealand passerine bird. Over three years, we identified individuals in groups, their relatedness, and behavioural interactions. Using multistate analysis, we compared movement and residency of adults and juveniles and found that groups were composed predominately of juveniles which remained at group sites for longer than more transient adults. Movement of juveniles between groups did occur but was generally low. There was no evidence that siblings and parents were likely to be seen in groups together. With an initial understanding of group structure, we next asked what characteristics predicted assortment in social network associations. By identifying groups of co-occurring juveniles from time-stamped observations of individual hihi and building a social network, we found that juveniles were most likely to associate with other juveniles. Associations were also predominantly based on locations where hihi spent the most time, reflecting limited movement among separate groups. We suggest groups are best described as “gangs” where young hihi have little interaction with adults. These spatially-separated groups of juveniles may have consequences for social information use during the first few months of independence in young birds.

A new endemic family of New Zealand passerine birds: adding heat to a biodiversity hotspot

2007 ◽  
Vol 55 (2) ◽  
pp. 73 ◽  
Author(s):  
Amy Driskell ◽  
Les Christidis ◽  
B. J. Gill ◽  
Walter E. Boles ◽  
F. Keith Barker ◽  
...  
Keyword(s):  
New Zealand ◽  
Evolutionary History ◽  
Divergence Time ◽  
Biodiversity Hotspot ◽  
Passerine Birds ◽  
New Family ◽  
Close Relationship ◽  
History Of ◽  
Anthornis Melanura ◽  
Notiomystis Cincta

The results of phylogenetic analysis of two molecular datasets sampling all three endemic New Zealand ‘honeyeaters’ (Prosthemadera novaeseelandiae, Anthornis melanura and Notiomystis cincta) are reported. The undisputed relatedness of the first two species to other honeyeaters (Meliphagidae), and a close relationship between them, are demonstrated. However, our results confirm that Notiomystis is not a honeyeater, but is instead most closely related to the Callaeidae (New Zealand wattlebirds) represented by Philesturnus carunculatus in our study. An estimated divergence time for Notiomystis and Philesturnus of 33.8 mya (Oligocene) suggests a very long evolutionary history of this clade in New Zealand. As a taxonomic interpretation of these data we place Notiomystis in a new family of its own which takes the name Notiomystidae. We expect this new phylogenetic and taxonomic information to assist policy decisions for the conservation of this rare bird.

scholarly journals Interactions between social groups of colobus monkeys (Colobus vellerosus) explain similarities in their gut microbiomes

2019 ◽  
Author(s):  
Eva Wikberg ◽  
Diana Christie ◽  
Pascale Sicotte ◽  
Nelson Ting
Keyword(s):  
Gut Microbiome ◽  
Social Connectedness ◽  
Social Groups ◽  
Social Contact ◽  
Social Environments ◽  
Colobus Monkeys ◽  
Faecal Samples ◽  
Gut Microbe ◽  
Social Group Identity ◽  
Observation Period

AbstractThe gut microbiome is structured by social groups in a variety of host taxa. Whether this pattern is driven by relatedness, similar diets, or shared social environments is under debate because few studies have had access to the data necessary to disentangle these factors in wild populations. We investigated whether diet, relatedness, or the 1-meter proximity network best explains differences in the gut microbiome among 45 female colobus monkeys in 8 social groups residing at Boabeng-Fiema, Ghana. We combined demographic and behavioural data collected May-August 2007 and October 2008-April 2009 with 16S rRNA sequencing of faecal samples collected during the latter part of each observation period. Social group identity explained a large percentage of the variation in gut microbiome beta-diversity. When comparing the predictive power of dietary dissimilarity, relatedness, and connectedness in the 1-meter proximity network, the models with social connectedness received the strongest support, even in our analyses that excluded within-group dyads. This novel finding indicates that microbes may be transmitted during intergroup encounters, which could occur either indirectly via shared environments or directly via social contact. Lastly, some of the gut microbial taxa that appear to be transmitted via 1-meter proximity are associated with digestion of plant material, but further research is needed to investigate whether this type of gut microbe transmission yields health benefits, which could provide an incentive for the formation and maintenance of social bonds within and between social groups.

scholarly journals Who comes to mind? Dynamic construction of social networks

2020 ◽  
Author(s):  
Joseph Bayer ◽  
Neil Anthony Lewis ◽  
Jonathan Stahl
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Real World ◽  
Dynamic Process ◽  
Social Groups ◽  
Social Resources ◽  
Personal Relationships ◽  
Cognitive Mechanisms ◽  
Relational Structures ◽  
Network Technologies

Much remains unknown about moment-to-moment social-network cognition — that is, who comes to mind as we go about our day-to-day lives. Responding to this void, we describe the real-time construction of cognitive social networks. First, we outline the types of relational structures that comprise momentary networks, distinguishing the roles of personal relationships, social groups, and mental sets. Second, we discuss the cognitive mechanisms that determine which individuals are activated — and which are neglected — through a dynamic process. Looking forward, we contend that these overlooked mechanisms need to be considered in light of emerging network technologies. Finally, we chart the next steps for understanding social-network cognition across real-world contexts, along with the built-in implications for social resources and intergroup disparities.

scholarly journals Historical distribution data of New Zealand endemic families Callaeidae and Notiomystidae (Aves, Passeriformes)

Check List ◽  
2019 ◽  
Vol 15 (4) ◽  
pp. 701-727 ◽  
Author(s):  
Rodrigo Brincalepe Salvador ◽  
Barbara Mizumo Tomotani ◽  
Colin Miskelly ◽  
Susan M. Waugh
Keyword(s):  
New Zealand ◽  
Future Research ◽  
Distribution Data ◽  
Museum Specimens ◽  
Critical Periods ◽  
Human Settlement ◽  
Late 19Th Century ◽  
European Settlement ◽  
Historical Distribution ◽  
Notiomystis Cincta

Callaeidae (wattlebirds) and Notiomystidae (stitchbirds) are New Zealand-endemic sister-taxa; while widespread before human settlement, they subsequently became critically endangered or extinct. Aside from presently managed populations, information about them is scarce and actual specimens even scarcer. Herein, we provide a snapshot of these families’ historical distribution during the critical periods of European settlement and expansion in New Zealand (19th and early-20th centuries), exploring new data and insights resulting from this approach. We include an extensive catalogue of worldwide museum specimens to facilitate future research. We report the last known record/specimen of huia Heteralocha acutirostris (Gould, 1837) and late 19th century specimens of North Island saddleback Philesturnus rufusater (Lesson, 1828) from Cuvier Island that confirm its occurrence there. We failed to find specimens of North Island saddleback and stitchbird Notiomystis cincta (du Bus de Gisignies, 1839) (with one and two exceptions, respectively) from named locations on the mainland.

The Algorithm Study of Support Vector Machine Based on Social Network of Public Opinions

2014 ◽  
Vol 513-517 ◽  
pp. 2394-2397
Author(s):  
Hong Biao Xie ◽  
Hong Jun Qiu
Keyword(s):  
Public Opinion ◽  
Social Network ◽  
Text Classification ◽  
Social Groups ◽  
Classification Problem ◽  
Support Vector ◽  
Social Stability ◽  
Social Phenomena ◽  
Svm Algorithm ◽  
Network Link

Public opinion refers to the certain social groups subjective reflection of certain social phenomena and reality within a period of time. The important measures to maintain social stability and the ruling party's ruling safety are to instantly master the dynamic public opinion and to actively guide social public opinion. In this paper, the author found the model of social network public opinion hotspot issues. The SVM algorithm is adopted to improve the information processing and analysis testing, effectively resolving the text classification problem. It verifies that this method plays an important role in the hot issues analyses of the network link.

General social behaviour.

2021 ◽  
pp. 163-173
Author(s):  
Donald M. Broom
Keyword(s):  
Social Network ◽  
Social Structure ◽  
Social Behaviour ◽  
Group Cohesion ◽  
Physical Structure

Abstract Some terms used in the description of social behaviour are presented, including physical structure, social structure, social network, group cohesion, leader, initiator, controller, competition and hierarchy.

Network Analysis for Economics and Management Studies

2016 ◽  
pp. 1-60 ◽  
Author(s):  
Lucio Biggiero
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Formation ◽  
Competitive Equilibrium ◽  
Group Structure ◽  
Network Modeling ◽  
Descriptive Analysis ◽  
Economic Networks ◽  
Main Research

Sociology and other social sciences have employed network analysis earlier than management and organization sciences, and much earlier than economics, which has been the last one to systematically adopt it. Nevertheless, the development of network economics during last 15 years has been massive, alongside three main research streams: strategic formation network modeling, (mostly descriptive) analysis of real economic networks, and optimization methods of economic networks. The main reason why this enthusiastic and rapidly diffused interest of economists came so late is that the most essential network properties, like externalities, endogenous change processes, and nonlinear propagation processes, definitely prevent the possibility to build a general – and indeed even partial – competitive equilibrium theory. For this paradigm has dominated economics in the last century, this incompatibility operated as a hard brake, and presented network analysis as an inappropriate epistemology. Further, being intrinsically (and often, until recent times, also radically) structuralist, social network analysis was also antithetic to radical methodological individualism, which was – and still is – economics dominant methodology. Though culturally and scientifically influenced by economists in some fields, like finance, banking and industry studies, scholars in management and organization sciences were free from “neoclassical economics chains”, and therefore more ready and open to adopt the methodology and epistemology of social network analysis. The main and early field through which its methods were channeled was the sociology of organizations, and in particular group structure and communication, because this is a research area largely overlapped between sociology and management studies. Currently, network analysis is becoming more and more diffused within management and organization sciences. Mostly descriptive until 15 years ago, all the fields of social network analysis have a great opportunity of enriching and developing its methods of investigation through statistical network modeling, which offers the possibility to develop, respectively, network formation and network dynamics models. They are a good compromise between the much more powerful agent-based simulation models and the usually descriptive (or poorly analytical) methods.

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