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Deimatic behaviours, also referred to as startle behaviours, are used against predators and rivals. Although many are spectacular, their proximate and ultimate causes remain unclear. In this review we aim to synthesise what is known about deimatic behaviour and identify knowledge gaps. We propose a working hypothesis for deimatic behaviour, and discuss the available evidence for the evolution, ontogeny, causation, and survival value of deimatic behaviour using Tinbergen's Four Questions as a framework. Our overarching aim is to direct future research by suggesting ways to address the most pressing questions in this field. peerReviewed

The COVID-19 pandemic and interventions addressing it raise important questions about human mobility that have geopolitical implications. This forum uses mobility and immobility during the pandemic as lenses onto the ways that routinised state power reacts to acute uncertainties, as well as how these reactions impact politics and societies. Specifically, we propose the concept of “shock mobility” as migratory routines radically reconfigured: emergency flights from epicentres, mass repatriations, lockdowns, quarantines. Patterns of shock mobility and immobility are not new categories of movement, but rather are significant alterations to the timing, duration, intensity, and relations among existing movements. Many of these alterations have been induced by governments’ reactions to the pandemic in both migrant-sending and receiving contexts, which can be especially consequential for migrants in and from the Global South. Our interventions explore these processes by highlighting experiences of Afghans and Kurds along Iran’s borders, Western Africans in Europe, Filipino workers, irregular Bangladeshis in Qatar, Central Americans travelling northwards via Mexico, and rural-urban migrants in India. In total, we argue that tracing shocks’ dynamics in a comparative manner provides an analytical means for assessing the long-term implications of the pandemic, building theories about how and why any particular post-crisis world emerges as it does, and paving the way for future empirical work.

Existing studies demonstrate that threat perceptions matter for immigration attitudes. However, while these perceptions are potentially sensitive to information about immigrants’ impacts, questions remain about whether inserting such information into public debates changes attitudes and policy preferences—especially on polarizing issues like immigration. Moreover, few studies have considered messages featuring the type of nonphotorealistic visual elements that increasingly appear in media. Using a survey experiment fielded in the United Kingdom, we examined whether evidence about European Union immigrants’ modestly positive economic impacts on the United Kingdom—presented either as text, with visualizations, or as an animated film—changed immigration attitudes and policy preferences. Although visual elements did not have an effect over and above text, all the informational treatments moved attitudes and preferences in positive directions, even among Leave voters. Our study brings together research on immigration public opinion and visual media and has implications for policymaking and journalism practice.

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How do governments visually communicate policies, and what does this reveal about actors’ political objectives? Governments strategically narrate their priorities, yet few studies examine this process through visual modes. We contribute to theoretical and empirical understanding in policy studies by focusing on the UK government’s COVID-19 response through its daily press briefings during the first wave of 2020. Combining quantitative changepoint and content analysis with qualitative discourse analysis, we examine all 79 sets of slides when briefings occurred. We identify a reactive phase focused on communicating knowledge about the pandemic in a boundedly rational manner, and a proactive phase that created new policy-based narratives of the pandemic. Besides contributing to emerging pandemic-related policy scholarship, we argue that conceiving these visualizations as visual narrative assemblages is relevant more broadly because it shifts attention to the interaction and interdependence of multiple visualizations as they enable policymakers to perform their authority to govern.

Social media have become conduits through which audiences can challenge elites in media and politics. Recent updates to cascading activation, originally developed to explain how frames flowing from powerful figures gain public dominance, give greater theoretical scope for audiences to exert influence. Yet empirical understanding of how and in what circumstances this happens with respect to agenda-setting - another core media effect - is not well-developed, especially given the affordances of digital technologies. We address this gap by connecting theorization on cascades to developments in intermedia agenda-setting. Specifically, we analyze the dynamics surrounding the perceived reluctance by ARD-aktuell, the newsroom of Germany's public broadcasting consortium, to use its prime-time broadcast "Tagesschau" to report the arrest of a refugee accused of murdering a German woman in December 2016. By presenting finely grained timelines linking content analysis of 5,409 Facebook comments with Tagesschau editorial responses and parallel media coverage of this event, we contribute further conditions under which audience-informed cascades may occur: notably, when publicly funded news organizations are involved, and the issue at stake invokes both domestic and international aspects which sustain disagreement.

Researchers studying international organizations have access to growing and varied archives due to digitization efforts. While developments in computational methods confer efficiency gains for examining these materials at scale, they raise concerns about their validity when applied to interpretive tasks in historical settings. In response, we present a general and flexible workflow that uses simple computational techniques from linguistics to enhance archival researchers’ interpretive skills and sensitivity to historical contexts. These techniques also identify patterns that can serve as evidence of causal mechanisms when embedded within strong research designs and theoretical expectations. Then, we demonstrate our mixed-method approach by applying it to a dataset of International Labour Organization’s (ILO) annual reports spanning ninety-three years. Examining the ILO's engagement with refugees as described in these documents, we identify key moments during which refugees have been particularly salient for this organization, and the emergence of new issues on its high-level policy agenda.

This chapter looks at the production of data visualizations (dataviz) in newsrooms and audiences’ everyday engagements with them.

Understanding the role of traits in dispersal is necessary to improve our knowledge of historical biogeography, community assembly processes and predictions of species' future movements. Here we aimed to determine the relationship between three traits (coastal distribution, body size, position on the fast/slow life history continuum) and past dispersal probability on an evolutionary timescale in chameleons (Chamaeleonidae). Using species' distribution data we identified the nine most important biogeographic regions for all included chameleons (181/217 species). We compiled life history trait data and used phylogenetic factor analysis to infer independent body size and fast/slow life history trait axes. Finally, we tested whether traits and trait combinations related to biogeographic dispersal success in the past, using trait-dependent biogeographic models. All three traits were associated with past biogeographical movements. Lineages having coastal distributions and those with large bodies had higher dispersal probabilities. Interestingly, chameleons with either a very fast or very slow life history were more successful dispersers than species with an intermediate strategy. Together, the three traits - coastal, large-bodied and extreme life history - form a dispersal syndrome. Traits have played an important role in the biogeographic history of chameleons. While only fast traits have been linked to present-day invasion success in reptiles, both extremes of the life history spectrum were likely advantageous for dispersal and establishment during past biogeographic movements. Fast-living species may be less susceptible to stochastic extinction in the first phases of a colonization (due to rapid population growth), and slow-living species may be less vulnerable to environmental stochasticity (due to low demographic variability). Our results call for broader analyses testing the general influence of life history strategy in biogeographic dispersal success, which would help explain species distribution patterns on Earth.

Biological phenotypes are products of complex evolutionary processes in which selective forces influence multiple biological trait measurements in unknown ways. Phylogenetic factor analysis disentangles these relationships across the evolutionary history of a group of organisms. Scientists seeking to employ this modeling framework confront numerous modeling and implementation decisions, the details of which pose computational and replicability challenges. General and impactful community employment requires a data scientific analysis plan that balances flexibility, speed and ease of use, while minimizing model and algorithm tuning. Even in the presence of non-trivial phylogenetic model constraints, we show that one may analytically address latent factor uncertainty in a way that (a) aids model flexibility, (b) accelerates computation (by as much as 500-fold) and (c) decreases required tuning. We further present practical guidance on inference and modeling decisions as well as diagnosing and solving common problems in these analyses. We codify this analysis plan in an automated pipeline that distills the potentially overwhelming array of modeling decisions into a small handful of (typically binary) choices. We demonstrate the utility of these methods and analysis plan in four real-world problems of varying scales., 27 pages, 7 figures, 1 table

Here, we investigate the camouflage consequences of animal orientation behaviour. Shadows can be a conspicuous cue to the presence of prey. For bilaterally symmetrical animals, light field modelling indicates that camouflage will be improved when an animal orients its longitudinal axis directly towards or away from the sun, because the appearance of shadows is minimized. We test this prediction with a field predation experiment, in which wild birds hunt for artificial camouflaged prey oriented with the longitudinal axis either parallel or perpendicular to the sun. We find that prey oriented parallel to the sun are 3.93 times more likely to survive than prey oriented perpendicular to the sun. This result demonstrates the strong orientation dependence of camouflage. Given the dramatic difference in survival of prey with different orientations, we suggest that camouflage should be investigated as an important determinant of the positional behaviour of animals.

Caudal autotomy is a dramatic antipredator adaptation where prey shed their tail in order to escape capture by a predator. The mechanism underlying the effectiveness of caudal autotomy as a pre‐capture defense has not been thoroughly investigated. We tested two nonexclusive hypotheses, that caudal autotomy works by providing the predator with a “consolation prize” that makes it break off the hunt to consume the shed tail, and the deflection hypothesis, where the autotomy event directs predator attacks to the autotomized tail enabling prey escape. Our experiment utilized domestic dogs Canis familiaris as model predator engaged to chase a snake‐like stimulus with a detachable tail. The tail was manipulated to vary in length (long versus short) and conspicuousness (green versus blue), with the prediction that dog attacks on the tail should increase with length under the consolation‐prize hypothesis and conspicuous color under the deflection hypothesis. The tail was attacked on 35% of trials, supporting the potential for pre‐capture autotomy to offer antipredator benefits. Dogs were attracted to the tail when it was conspicuously colored, but not when it was longer. This supports the idea that deflection of predator attacks through visual effects is the prime antipredator mechanism underlying the effectiveness of caudal autotomy as opposed to provision of a consolation prize meal., In an experiment on domestic dogs chasing model prey, we found that attacks were directed to an autotomized body parts when it was conspicuously colored but not when it was longer. This supports the hypothesis that autotomy is principally effective because of perceptual deflection of attacks rather than because it offers predators a “consolation prize” meal.

Sexual selection produces extravagant male traits, such as colorful ornaments, via female mate choice. More rarely, in mating systems in which males allocate mating effort between multiple females, female ornaments may evolve via male mate choice. Females of many anthropoid primates exhibit ornaments that indicate intraindividual cyclical fertility, but which have also been proposed to function as interindividual quality signals. Rhesus macaque females are one such species, exhibiting cyclical facial color variation that indicates ovulatory status, but in which the function of interindividual variation is unknown. We collected digital images of the faces of 32 rhesus macaque adult females. We assessed mating rates, and consortship by males, according to female face coloration. We also assessed whether female coloration was linked to physical (skinfold fat, body mass index) or physiological (fecal glucocorticoid metabolite [fGCM], urinary C-peptide concentrations) condition. We found that redder-faced females were mated more frequently, and consorted for longer periods by top-ranked males. Redder females had higher fGCM concentrations, perhaps related to their increased mating activity and consequent energy mobilization, and blood flow. Prior analyses have shown that female facial redness is a heritable trait, and that redder-faced females have higher annual fecundity, while other evidence suggests that color expression is likely to be a signal rather than a cue. Collectively, the available evidence suggests that female coloration has evolved at least in part via male mate choice. Its evolution as a sexually selected ornament attractive to males is probably attributable to the high female reproductive synchrony found in this species.

Discriminating between conspecifics and heterospecifics potentially challenging for closely related sympatric species. The guenons, a recent primate radiation, exhibit high degrees of sympatry and form multi-species groups in which hybridization is possible but rare in most populations. Guenons have species-specific colorful face patterns hypothesized to function in species discrimination. Here, we apply a novel machine learning approach to identify the face regions most essential for correct species classification across fifteen guenon species. We then demonstrate the validity of these computational results using experiments with live guenons, showing that facial traits identified as critical for accurate classification do indeed influence selective attention toward con- and heterospecific faces. Our results suggest variability among guenon species in reliance on single-trait-based versus holistic facial characteristics when discriminating between species, and differences in behavioral responses to faces can be linked to whether discrimination is based on a single trait or whole-face pattern. Our study supports the hypothesis that guenon face patterns function to promote species discrimination and provides novel insights into the relationship between species interactions and phenotypic diversity.

Comparative biologists are often interested in inferring covariation between multiple biological traits sampled across numerous related taxa. To properly study these relationships, we must control for the shared evolutionary history of the taxa to avoid spurious inference. Existing control techniques almost universally scale poorly as the number of taxa increases. An additional challenge arises as obtaining a full suite of measurements becomes increasingly difficult with increasing taxa. This typically necessitates data imputation or integration that further exacerbates scalability. We propose an inference technique that integrates out missing measurements analytically and scales linearly with the number of taxa by using a post-order traversal algorithm under a multivariate Brownian diffusion (MBD) model to characterize trait evolution. We further exploit this technique to extend the MBD model to account for sampling error or non-heritable residual variance. We test these methods to examine mammalian life history traits, prokaryotic genomic and phenotypic traits, and HIV infection traits. We find computational efficiency increases that top two orders-of-magnitude over current best practices. While we focus on the utility of this algorithm in phylogenetic comparative methods, our approach generalizes to solve long-standing challenges in computing the likelihood for matrix-normal and multivariate normal distributions with missing data at scale., Comment: 29 pages, 7 figures, 2 tables, 3 supplementary sections

The dorsal surfaces of many taxonomic groups often feature repetitive pattern elements consisting of stripes, spots, or bands. Here, we investigate how distinct categories of camouflage pattern work by relating them to ecological and behavioral traits in 439 species of gecko. We use phylogenetic comparative methods to test outstanding hypotheses based on camouflage theory and research in other taxa. We found that bands are associated with nocturnal activity, suggesting bands provide effective camouflage for motionless geckos resting in refugia during the day. A predicted association between stripes and diurnal activity was not supported, suggesting that stripes do not work via dazzle camouflage mechanisms in geckos. This, along with a lack of support for our prediction that plain patterning should be associated with open habitats, suggests that similar camouflage patterns do not work in consistent ways across taxa. We also found that plain and striped lineages frequently switched between using open or closed habitats, whereas spotted lineages rarely transitioned. This suggests that pattern categories differ in how specialized or generalized their camouflage is. This result has ramifications for theory on how camouflage compromises to background heterogeneity and how camouflage pattern might influence evolutionary trajectories.

When and how does press coverage maintain independence from governments’ preferred language? Leading scholarship argues that elites shape media content, especially in foreign affairs settings where journalists rely on official sources. But do media push back in domestic policy contexts? Focusing on immigration in Britain, we find press coverage exhibits signs of autonomy that rely on the state’s administrative branches. Our evidence comes from automated linguistic analysis of 190,000 items of migration coverage in nineteen national British newspapers from 2006 to 2015, and press releases published by the U.K. Home Office between 2010 and 2015. We show that the press increasingly portrayed immigration in terms of its scale. Then, by comparing the dynamics of a key government policy—lowering “net migration”—in press and Home Office rhetoric, we illustrate the limits of the government to insert its desired language into the press. Finally, we argue routine press interactions with the nonpolitical Office for National Statistics enabled coverage that diverged from politicians’ preferred lines. Our study contributes to press-state theory by providing evidence of media semiautonomy in a domestic policy arena, and highlighting the often-overlooked role of routine, bureaucratic procedure in supporting that autonomy.

This research was supported by the National Science Foundation EPSCoR Grant No.IIA-1301765.

Civil society organisations increasingly mediate the creation and exchange of evidence in their activities with policy-makers and practitioners. This article extends knowledge on evidence in policy-making settings to civil society contexts. As an exploratory and qualitative study, it shows how nine UK-based organisations working on issues including migration and social welfare hold different perceptions of evidence and its usefulness. A range of related factors involving individuals, organisations, sectors, and issue areas emerge as contingent contributors to these variations. The results suggest that researchers and practitioners seeking to engage with civil society using evidence should consider context-specific values, skills, motivations, and timeliness.

This chapter addresses how research and public debate about migration interact with and inform each other, focusing on public perceptions and media coverage as important aspects. Factors including generalized public innumeracy about migration levels, effects of emotions on perceptions, and variation in the perceived credibility of different messengers make communicating information— of which research evidence is an important type—a complex process with multiple points of potential resistance. Meanwhile, the demands and expectations of public users and policy-makers can influence how research happens and the types of questions that are seen to be more meaningful. These interrelationships exist within wider social, political, and economic contexts that, in certain circumstances, are likely to favour some outcomes over others. In total, the chapter argues that the pathway from generating research evidence to impacting public debates is not only uncertain, it is also more complex than is often presumed. Research on migration often aims to influence not only relatively specialized research communities, but also broader society including political institutions, policy processes, and media and public debates. Whether motivated by the intrinsic value of relating their work to the wider world, or prodded by shifting financial and professional incentives, academic researchers increasingly find themselves being asked to demonstrate how their work has impact beyond universities—especially when that research is publicly funded. Yet, defining and generating that impact is often elusive. Public debate and major policy decisions often seem to fly in the face of the evidence base accumulated by researchers in the academy, civil society, and even in government agencies themselves. Despite escalating pressure to produce impactful research, evidence-based public debate seems as far off as ever—particularly on the issue of immigration, where public discussion is often polarized, emotive, and based on perceptions rather than reality (Duffy 2014). In this chapter, we explore the relationships between research and public debate, two aspects of the tripartite model proposed in the Introduction to this volume. We argue that the idea of ‘research impact’ is often based on a naive model of one-way effects that does not reflect the multifaceted relationships between research and elements of public debate. The pathway from research evidence to public debate is not only uncertain, it is also inevitably bidirectional: media and public discussions affect research as well as being affected by it. As academics aim to have impact on public debate, they should acknowledge even further how their research—comprising the questions they ask, the methods they employ, and the modes and venues in which they present their (p.51) findings—relates to the contours of public debate. Therefore, despite growing expectations that research can and should influence public debate, the implicit model of impact underlying such expectations is misleading and simplistic.

The goal of this paper is to present a methodology for professional evaluation, comparison and selection of alternatives in conservation planning and related areas. Our decision methodology is based on soft computing and consistent with observable properties of human reasoning. Main topics that we cover include the presentation of the LSP (Logic Scoring of Preference) decision method, the analysis of benefits that soft computing graded logic provides in comparison to traditional oversimplified additive weighted scoring models, and a detailed presentation of the Upper Neuse Clean Water Initiative in North Carolina, which is a real-life decision project in landscape planning and strategic conservation, based on our proposed methodology. In addition, we also present results of using decision support software tools that are necessary for the development and use of decision criteria. Our methodology and results are applicable in a wide variety of areas, including ecology, open space management, urban planning, geographic information systems, and decision making in agriculture. Keywords LSP method Strategic conservation Suitability analysis Multi-criteria decision making Graded logic Simple additive scoring Landscape planning Water quality protection GIS

A consensus exists among academics that cost-effective land preservation should involve both benefits and costs. In reality, the vast majority of programs do a poor job at being cost-effective. Few studies have examined why conservation professionals have failed to adopt cost-effective approaches. This study reports on a survey conducted with conservation professionals associated with the Maryland Agricultural Land Preservation Foundation, a leading program in the United States where county program administrators have experience with both traditional benefit targeting approaches and optimization approaches. Results show that conservation professionals place lower importance on cost-effectiveness than transparency and fairness, which are the most critical elements. Administrators also report a lack of incentives as a major obstacle for them to adopt cost-effective selection processes, but are more likely to adopt cost-effective conservation techniques if training and software is provided. These findings provide economists with valuable insights when designing cost-effective mechanisms that could be adopted and used in the future.

Recent discussion in critical border studies has reaffirmed the validity and necessity of multiperspectival approaches which move beyond state-centric outlooks to include diverse viewpoints of people at or on borders. One understudied aspect of everyday border life involves how international development organisations fit within wider dynamics of cross-border activities. Drawing upon experiences of development projects at a key border crossing between Kenya and Uganda, I explore (1) how perceptions of risk and danger contribute to constructions of the border towns as places in need of development interventions, and (2) how this border also adds to practical and logistical concerns already held by development organisations as they deliver these interventions. I argue that the place-based mix of location, material forms, and perceptions or practices impacts how ‘inter-national development’ is rationalised in border regions.

In living color Animals live in a colorful world, but we rarely stop to think about how this color is produced and perceived, or how it evolved. Cuthill et al. review how color is used for social signals between individual animals and how it affects interactions with parasites, predators, and the physical environment. New approaches are elucidating aspects of animal coloration, from the requirements for complex cognition and perception mechanisms to the evolutionary dynamics surrounding its development and diversification. Science , this issue p. eaan0221

Breast cancer is the second leading cause of death by cancer in women. To identify biomarkers with potential diagnostic and therapeutic utilities in breast cancer, gene expression profiling from real patient tissues was used to discover significantly deregulated genes out of 50,739 genes of human transcriptome. Total RNAs were extracted, and the gene expression profiles of 32 cancerous and normal tissues were established using Agilent gene expression microarray technology. The results were analyzed with Agilent GeneSpring 12.6 software. Here we provide detailed experimental methods and analysis for the microarray data, which have been deposited into Gene Expression Omnibus (GEO) under GSE57297.

Species in the suborder Serpentes present a powerful model for understanding processes involved in visual signal design. Although vision is generally poor in snakes, they are often both predators and prey of visually oriented species. We examined how ecological and behavioral factors have driven the evolution of snake patterning using a phylogenetic comparative approach. The appearances of 171 species of Australian and North American snakes were classified using a reaction-diffusion model of pattern development, the parameters of which allow parametric quantification of various aspects of coloration. The main findings include associations between plain color and an active hunting strategy, longitudinal stripes and rapid escape speed, blotched patterns with ambush hunting, slow movement and pungent cloacal defense, and spotted patterns with close proximity to cover. Expected associations between bright colors, aggressive behavior, and venom potency were not observed. The mechanisms through which plain and longitudinally striped patterns might support camouflage during movement are discussed. The flicker-fusion hypothesis for transverse striped patterns being perceived as uniform color during movement is evaluated as theoretically possible but unlikely. Snake pattern evolution is generally phylogenetically conservative, but by sampling densely in a wide variety of snake lineages, we have demonstrated that similar pattern phenotypes have evolved repeatedly in response to similar ecological demands.

As data become increasingly ubiquitous, so too do data visualisations, which are the main means through which non-experts get access to data. Most visualizations circulate and are shared online, and many of them are produced by Internet researchers. For these reasons, data visualization is an important object of study for Internet research. This paper proposes that Internet research should engage critically with data visualization, and it does so by focusing on how people engage with them. Drawing on qualitative, empirical research with users, in this paper we identify six factors that affect engagement, which we define as socio-cultural: subject matter; source/media location; beliefs and opinions; time; emotions; and confidence and skills. We argue that our findings have implications for how effectiveness is defined in relation to data visualizations: such definitions vary depending on how, by whom, where and for what purpose visualizations are encountered. Our research also suggests that research into visualization engagement can benefit from adopting qualitative approaches developed within media audience research.

This research note reflects on the gaps and limitations confronting the development of ethical principles regarding the accessibility of large-scale data for civil society organisations (CSOs). Drawing upon a systematic scoping study on the use of data in UK civil society, it finds that there are twin needs to conceptualise accessibility as more than mere availability of data, as well as examine the use of data among CSOs more generally. In order to deal with the apparent ‘digital divide’ in UK civil society—where, despite extensive government rhetoric about data openness, organisations face not only the barriers of limited time, funds, and expertise to harness data but also the lack of representation within existing data—we present a working model in which ethical risks accompanying data utilisation by civil society may be better accounted. This suggests there is a need for further research into the nexus of civil society and data upon which interdisciplinary discussion about the ethical dimensions of engagement with data, particularly informed by insight from the social sciences, can be predicated.

Critical researchers in anthropology, politics, and history have profited from the spatial turn, or the idea that spaces produced through practices and perceptions influence observable social action, in showing how people at borders derive specific economic and social benefits from their unique location. This is especially relevant in African border contexts where state presence is often modified or resisted by local agendas. However, less work examines how cross-border activities, locally-held perceptions, and geographic location interact to generate different versions of what it means to “be at” a border for border-crossers and residents themselves. This paper, in responding to calls for interdisciplinary and multiperspectival approaches to border studies, argues that theorizing border towns as dynamic “places” clarifies how individuals impact and construct different meanings at and across borders. It empirically develops this idea by examining two spheres of everyday activity occurring at the Kenya-Uganda border: cross-border trade and health service provision.

This paper argues that visualisation conventions work to make the data represented within visualisations seem objective, that is, transparent and factual. Interrogating the work that visualisation conventions do helps us to make sense of the apparent contradiction between criticisms of visualisations as doing persuasive work and visualisation designers’ belief that through visualisation, it is possible to ‘do good with data’ [Periscopic. 2014. Home page. Retrieved from http://www.periscopic.com/]. We focus on four conventions which imbue visualisations with a sense of objectivity, transparency and facticity. These include: (a) two-dimensional viewpoints; (b) clean layouts; (c) geometric shapes and lines; (d) the inclusion of data sources. We argue that thinking about visualisations from a social semiotic standpoint, as we do in this paper by bringing together what visualisation designers say about their intentions with a semiotic analysis of the visualisations they produce, advances understanding of the ways that data visualisations come into being, how they are imbued with particular qualities and how power operates in and through them. Thus, this paper contributes nuanced understanding of data visualisations and their production, by uncovering the ways in which power is at work within them. In turn, it advances debate about data in society and the emerging field of data studies.

The effects of intrasexual and intersexual selection on male trait evolution can be difficult to disentangle, especially based on observational data. Male-male competition can limit an observer's ability to identify the effect of female mate choice independently from sexual coercion. Here, we use an experimental approach to explore whether an ornament, the red facial skin exhibited by male rhesus macaques (Macaca mulatta), might be involved in both female mate choice and male-male competition. We used a noninvasive experimental approach based on the looking time paradigm in a free-ranging setting, showing images of differently colored male faces to both adult females (N = 91) and males (N = 77), as well as to juveniles (N = 94) as a control. Results show that both adult females and males looked longer at dark red faces compared with pale pink ones. However, when considering the proportion of subjects that looked longer at dark red faces regardless of preference strength, only females showed a significant dark red bias. In contrast, juveniles did not show any preferences between stimuli, suggesting that the adult bias is not a consequence of the experimental design or related to a general sensory bias for red coloration among all age-sex classes. Collectively, these results support the role the ornament plays in female mate choice in this species and provide the first evidence that this ornament may play a role in male-male competition as well, despite a general lack of observational evidence for the latter effect to date.

Sexual selection typically produces ornaments in response to mate choice, and armaments in response to male–male competition. Unusually among mammals, many primates exhibit colour signals that may be related to one or both processes. Here, we document for the first time correlates of facial coloration in one of the more brightly coloured primates, the black-and-white snub-nosed monkey ( Rhinopithecus bieti ). Snub-nosed monkeys have a one-male unit (OMU) based social organization, but these units aggregate semi-permanently into larger bands. This form of mating system causes many males to become associated with bachelor groups. We quantified redness of the prominent lower lip in 15 males (eight bachelors, seven OMU holders) in a group at Xiangguqing, China. Using mixed models, our results show that lip redness increases with age. More interestingly, there is a significant effect of the interaction of group-holding status and mating season on redness; that is, lip colour of OMU males undergoes reddening in the mating season, whereas the lips of subadult and juvenile bachelor males become paler at that time of year. These results indicate that lip coloration is a badge of (group-holding) status during the mating season, with non-adults undergoing facial differentiation, perhaps to avoid the costs of reproductive competition. Future research should investigate whether lip coloration is a product of male–male competition, and/or female mate choice.

Using agricultural preservation priorities derived from an analytical hierarchy process by 23 conservation experts from 18 agencies in the state of Delaware, this research uses weighted benefit measures to evaluate the historical success of Delaware's agricultural protection fund, which spent nearly $100 million in its first decade. This research demonstrates how these operation research techniques can be used in concert to address relevant conservation questions. Results suggest that the state's sealed-bid-offer auction, which determines the yearly conservation selections, is superior to benefit-targeting approaches frequently employed by conservation organizations, but is inferior to the optimization technique of binary linear programming that could have provided additional benefits to the state, such as 12,000 additional acres worth an estimated $25 million. Key Words: conservation optimization, farmland protection, analytic hierarchy process, binary linear programming (ProQuest: ... denotes formulae omitted.) In the United States, conservation groups spend an estimated $3.2 billion annually (Lerner, Mackey, and Casey 2007). While operations research techniques are frequently used in a wide variety of areas, yielding substantial success, such techniques have rarely been applied to on-theground conservation efforts despite the promise of providing more conservation benefits for the same budget constraint (Prendergast, Quinn, and Lawton 1999, Rodrigues and Gaston 2002, Azzaino, Conrad, and Ferraro 2002, Messer 2006). A partial explanation for this lack of adoption is that many of the initial analyses in operations research have focused on problem setups-such as covering problems that identify the minimum number of preserves necessary to protect a set number of endangered species or the maximum number of species that could be protected with a set of protected areas (e.g., Ando et al. 1998, Balmford et al. 2001, Polasky, Camm, and Garber- Yonts 2001, Moore et al. 2004, Strange et al. 2006, Cabeza and Moilanen 2001, ReVelle, Williams, and Boland 2002)-that have little relationship to the actual priorities and problems faced by conservation organizations. Secondly, conservation objectives and goals tend to be difficult to characterize, identify, and measure, and lack a common metric for success, such as profit in business applications. Furthermore, other obstacles exist for the use of these techniques for conservation, including how to identify the true decision-space for the conservation group, which must first locate willing sellers, develop the meaning of the measures of conservation benefit, assess the relative importance of one environmental characteristic over another, and provide reliable, arm's-length estimates of the costs involved (Strager and Rosenberger 2006). In this research, we show the benefits of applying operations research techniques in a setting where these latter obstacles have already been essentially overcome given the existing program priorities of the Delaware Agricultural Lands Preservation Foundation (DALPF) and its historical data of willing sellers' offers, parcels' market appraisals, GIS information on parcels' agricultural and ecological value, and a gathering of conservation experts to help determine the relative value of different agricultural and ecological measures. The most common approach in the economics literature for evaluating the benefits of agricultural land preservation is willingness-to-pay (WTP) surveys of the public (e.g., Bergstrom, Dillman, and Stoll 1985, Halstead 1984, Kline and Wichelns, 1996, 1998, Duke and Ilvento 2004, Ozdemir et al. 2004, Johnston and Duke 2009, Duke and Johnston 2010).1 However, other studies have explicitly examined the public's preferences for different attribute trade-offs inevitably involved in conservation settings by employing the technique of analytic hierarchy process (AHP) (e.g., Duke and Aull-Hyde 2002, Strager and Rosenberger 2006). …

Why some organisms become invasive when introduced into novel regions while others fail to even establish is a fundamental question in ecology. Barriers to success are expected to filter species at each stage along the invasion pathway. No study to date, however, has investigated how species traits associate with success from introduction to spread at a large spatial scale in any group. Using the largest data set of mammalian introductions at the global scale and recently developed phylogenetic comparative methods, we show that human‐mediated introductions considerably bias which species have the opportunity to become invasive, as highly productive mammals with longer reproductive lifespans are far more likely to be introduced. Subsequently, greater reproductive output and higher introduction effort are associated with success at both the establishment and spread stages. High productivity thus supports population growth and invasion success, with barriers at each invasion stage filtering species with progressively greater fecundity.

© 2015 The Authors. The proceedings of the 2nd Annual Deep Brain Stimulation Think Tank summarize the most contemporary clinical, electrophysiological, and computational work on DBS for the treatment of neurological and neuropsychiatric disease and represent the insights of a unique multidisciplinary ensemble of expert neurologists, neurosurgeons, neuropsychologists, psychiatrists, scientists, engineers and members of industry. Presentations and discussions covered a broad range of topics, including advocacy for DBS, improving clinical outcomes, innovations in computational models of DBS, understanding of the neurophysiology of Parkinson's disease (PD) and Tourette syndrome (TS) and evolving sensor and device technologies.

Careful investigation of the form of animal signals can offer novel insights into their function. Here, we deconstruct the face patterns of a tribe of primates, the guenons (Cercopithecini), and examine the information that is potentially available in the perceptual dimensions of their multicomponent displays. Using standardized colour-calibrated images of guenon faces, we measure variation in appearance both within and between species. Overall face pattern was quantified using the computer vision ‘eigenface’ technique, and eyebrow and nose-spot focal traits were described using computational image segmentation and shape analysis. Discriminant function analyses established whether these perceptual dimensions could be used to reliably classify species identity, individual identity, age and sex, and, if so, identify the dimensions that carry this information. Across the 12 species studied, we found that both overall face pattern and focal trait differences could be used to categorize species and individuals reliably, whereas correct classification of age category and sex was not possible. This pattern makes sense, as guenons often form mixed-species groups in which familiar conspecifics develop complex differentiated social relationships but where the presence of heterospecifics creates hybridization risk. Our approach should be broadly applicable to the investigation of visual signal function across the animal kingdom.

Humans find members of the opposite sex more attractive when their image is spatially associated with the color red. This effect even occurs when the red color is not on the skin or clothing (i.e. is extraneous). We hypothesize that this extraneous color effect could be at least partially explained by a low-level and biologically innate generalization process, and so similar extraneous color effects should be observed in non-humans. To test this possibility, we examined the influence of extraneous color in rhesus macaques (Macaca mulatta). Across two experiments, we determined the influence of extraneous red on viewing preferences (assessed by looking time) in free-ranging rhesus monkeys. We presented male and female monkeys with black and white photographs of the hindquarters of same and opposite sex conspecifics on either a red (experimental condition) or blue (control condition) background. As a secondary control, we also presented neutral stimuli (photographs of seashells) on red and blue backgrounds. We found that female monkeys looked longer at a picture of a male scrotum, but not a seashell, on a red background (Experiment 1), while males showed no bias. Neither male nor female monkeys showed an effect of color on looking time for female hindquarters or seashells (Experiment 2). The finding for females viewing males suggests that extraneous color affects preferences among rhesus macaques. Further, it raises the possibility that evolutionary processes gave rise to extraneous color effects during human evolution.

This study examined facilitators and barriers to effective patient and caregiver communication with providers with emphasis on communication related to cancer pain management. Focus groups and personal interviews were conducted with cancer patients and family caregivers of patients. Communication experiences of subjects as well as suggestions for ways to improve the communication process were elicited. Twenty-two cancer patients and 16 family caregivers participated in the study. Seven themes emerged suggesting improvements that are needed in the communication process. These include: 1) improving the process of information exchange, 2) increasing active participation of patient and caregiver in the care process, 3) improving provider relationship-building skills, 4) overcoming time barriers, 5) addressing fears regarding use of pain management medications, 6) fostering appropriate involvement of family and caregivers in the communication process, and 7) improving coordination of care among providers. Specific suggestions and their practice implications for health care providers are highlighted.

Stem cells are noted for their ability to self-renew and differentiate into a variety of cell types. Some stem cells, described as totipotent cells, have tremendous capacity to self-renew and differentiate. Embryonic stem cells have pluripotent capacity, able to form tissues of all 3 germ layers but unable to form an entire live being. Research with embryonic stem cells has enabled investigators to make substantial gains in developmental biology, therapeutic tissue engineering, and reproductive cloning. However, with these remarkable opportunities many ethical challenges arise, which are largely based on concerns for safety, efficacy, resource allocation, and methods of harvesting stem cells. Discussing the moral and legal status of the human embryo is critical to the debate on stem cell ethics. Religious perspectives and political events leading to regulation of stem cell research are presented and discussed, with special attention directed toward the use of embryonic stem cells for therapeutic and reproductive cloning. Adult stem cells were previously thought to have a restricted capacity to differentiate; however, several reports have described their plasticity potential. Furthermore, there have been close ties between the behavior of stem cells and cancer cells. True eradication of cancer will require a deeper understanding of stem cell biology. This article was written to inform medical scientists and practicing clinicians across the spectrum of medical education about the research and regulatory issues affecting the future of stem cell therapy.

Primate trichromatic colour vision has been hypothesized to be well tuned for detecting variation in facial coloration, which could be due to selection on either signal wavelengths or the sensitivities of the photoreceptors themselves. We provide one of the first empirical tests of this idea by asking whether, when compared with other visual systems, the information obtained through primate trichromatic vision confers an improved ability to detect the changes in facial colour that female macaque monkeys exhibit when they are proceptive. We presented pairs of digital images of faces of the same monkey to human observers and asked them to select the proceptive face. We tested images that simulated what would be seen by common catarrhine trichromatic vision, two additional trichromatic conditions and three dichromatic conditions. Performance under conditions of common catarrhine trichromacy, and trichromacy with narrowly separated LM cone pigments (common in female platyrrhines), was better than for evenly spaced trichromacy or for any of the dichromatic conditions. These results suggest that primate trichromatic colour vision confers excellent ability to detect meaningful variation in primate face colour. This is consistent with the hypothesis that social information detection has acted on either primate signal spectral reflectance or photoreceptor spectral tuning, or both.

Organisms frequently gain advantages when they engage in signalling with individuals of other species. Here, we provide a functionally structured framework of the great variety of interspecific visual signals seen in nature, and then describe the different signalling mechanisms that have evolved in response to each of these functional requirements. We propose that interspecific visual signalling can be divided into six major functional categories: anti-predator, food acquisition, anti-parasite, host acquisition, reproductive and agonistic signalling, with each function enabled by several distinct mechanisms. We support our classification by reviewing the ecological and behavioural drivers of interspecific signalling in animals and plants, principally focusing on comparative studies that address large-scale patterns of diversity. Collating diverse examples of interspecific signalling into an organized set of functional and mechanistic categories places anachronistic behavioural and morphological labels in fresh context, clarifies terminology and redirects research effort towards understanding environmental influences driving interspecific signalling in nature. This article is part of the themed issue ‘Animal coloration: production, perception, function and application’.

Male sexually-selected traits can evolve through different mechanisms: conspicuous and colorful ornaments usually evolve through inter-sexual selection, while weapons usually evolve through intra-sexual selection. Male ornaments are rare among mammals in comparison to birds, leading to the notion that female mate choice generally plays little role in trait evolution in this taxon. Supporting this view, when ornaments are present in mammals they typically indicate social status and are products of male-male competition. This general mammalian pattern, however, may not apply to rhesus macaques (Macaca mulatta). Males of this species display conspicuous skin coloration, but this expression is not correlated to dominance rank, and is therefore unlikely to have evolved due to male-male competition. Here, we investigate whether male color expression influences female proceptivity towards males in the Cayo Santiago free-ranging rhesus macaque population. We collected face images of 24 adult males varying in dominance rank and age at the peak of the mating season, and modeled these to rhesus macaque visual perception. We also recorded female socio-sexual behaviors towards these males. Results show that dark red males received more sexual solicitations, by more females, than pale pink ones. Together with previous results, our study suggests that male color ornaments are more likely to be a product of inter- rather than intra-sexual selection. This may especially be the case in rhesus macaques due to the particular characteristics of male-male competition in this species.

Animal visual signals have the potential to act as an isolating barrier to prevent interbreeding of populations through a role in species recognition. Within communities of competing species, species recognition signals are predicted to undergo character displacement, becoming more visually distinctive from each other; however, this pattern has rarely been identified. Using computational face recognition algorithms to model primate face processing, we demonstrate that the face patterns of guenons (tribe: Cercopithecini) have evolved under selection to become more visually distinctive from those of other guenon species with whom they are sympatric. The relationship between the appearances of sympatric species suggests that distinguishing conspecifics from other guenon species has been a major driver of diversification in guenon face appearance. Visual signals that have undergone character displacement may have had an important role in the tribe's radiation, keeping populations that became geographically separated reproductively isolated on secondary contact.