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Situational social influence leading to non-compliance with conservation rules
Abstract
It is well established that the decisions that we make can be strongly influenced by the behaviour of others. However, testing how social influence can lead to non-compliance with conservation rules during an individual's decision-making process has received little research attention. We synthesise advances in understanding of conformity and rule-breaking in individuals and in groups, and take a situational approach to studying the social dynamics and ensuing social identity changes that can lead to non-compliant decision-making. We focus on situational social influence contagion that are copresent (i.e., same space and same time) or trace-based (i.e., behavioural traces in the same space). We then suggest approaches for testing how situational social influence can lead to certain behaviours in non-compliance with conservation rules.
7 Kernbotschaften:
(1) Ziel der Besucher-Lenkung ist, menschliche Störungen in Schutzgebieten zu vermeiden.
(2) Die digitale Lenkung nimmt stark zu, aber im Gelände ist die analoge Lenkung weiterhin am wichtigsten.
(3) Einige Entscheidungen im Gelände (aber nicht alle) laufen als bewusster Entscheidungs-Prozess ab.
(4) Sind die Besucherlenkungsmaßnahmen im Gebiet zu schwach, führt das zu einem verstärktem Auftreten von versehentlichem Fehlverhalten, insbesondere bei Erst- und Seltenbesuchenden.
(5) Erwünschtes Verhalten kann insbesondere erklärt und beeinflusst werden über „Problembewusstsein“, „wahrgenommene Verhaltenskontrolle“ und „soziale Normen“.
(6) Viele Ansätze der Kommunikation verfehlen ihr Ziel, weil sie uneindeutige oder normativ verwirrende Botschaften senden, in Bildern und Texten.
(7) Es fehlen systematische Studien, die den Erfolg der Kampagnen auf ihre Wirksamkeit testen (Ziel: Vermeidung der Störungen).
Advocates, practitioners and policy‐makers continue to use and advocate for marine protected areas (MPAs) to meet global ocean protection targets. Yet many of the worlds MPAs, and especially no‐take MPAs, are plagued by poaching and ineffective governance. Using a global dataset on coral reefs as an example, we quantify the potential ecological gains of governing MPAs to increase compliance, which we call the ‘compliance gap’. Using ecological simulations based on model posteriors of joint Bayesian hierarchical models, we demonstrate how increased compliance in no‐take MPAs could nearly double target fish biomass (91% increases in median fish biomass), and result in a 292% higher likelihood of encountering top predators. Achieving these gains and closing the compliance gap necessitates a substantial shift in approach and practice to go beyond optimizing enforcement, and towards governing for compliance. This will require engaging and integrating a broad suite of actors, principles, and practices across three key domains: (i)) harnessing social influence, (ii) integrating equity principles, and (iii) aligning incentives through market‐based instruments. Empowering and shaping communication between actor groups (e.g., between fishers, practitioners, and policy‐makers) using theoretically underpinned approaches from the behavioural sciences is one of the most essential, but often underserved aspects of governing MPAs. We therefore close by highlighting how this cross‐cutting tool could be further integrated in governance to bolster high levels of compliance in MPAs.
Ambitious conservation efforts are needed to stop the global biodiversity crisis. In this study, we estimate the minimum land area to secure important biodiversity areas, ecologically intact areas, and optimal locations for representation of species ranges and ecoregions. We discover that at least 64 million square kilometers (44% of terrestrial area) would require conservation attention (ranging from protected areas to land-use policies) to meet this goal. More than 1.8 billion people live on these lands, so responses that promote autonomy, self-determination, equity, and sustainable management for safeguarding biodiversity are essential. Spatially explicit land-use scenarios suggest that 1.3 million square kilometers of this land is at risk of being converted for intensive human land uses by 2030, which requires immediate attention. However, a sevenfold difference exists between the amount of habitat converted in optimistic and pessimistic land-use scenarios, highlighting an opportunity to avert this crisis. Appropriate targets in the Post-2020 Global Biodiversity Framework to encourage conservation of the identified land would contribute substantially to safeguarding biodiversity.
A series of international sustainability policies currently in negotiation will shape biodiversity conservation for decades to come. However, discussions of current sustainability policy have a huge blind spot: the absence of Fungi, one of the eukaryotic Kingdoms. Wild fungi are a key component of natural ecosystems (e.g., through parasitic symbiosis), maintain soil fertility by decomposing organic matter, and facilitate uptake of water and nutrients through mycorrhizal association with plant roots, enhancing carbon sequestration. Moreover, the harvest, use, and trade of wild fungi are essential economic and cultural activities, supporting livelihoods and providing food and medicinal ingredients. Still, the sustainability of wild fungi use is hard to assess because there is a lack of attention from research, legislation, and society at large. Here, we present a way forward for including wild fungi in international sustainability policy. We layout four key steps to foster a much‐needed policy and societal transformation: acknowledge the existence of Fungi as an independent Kingdom; tailor sustainability policy targets to include Fungi; implement comprehensive monitoring of wild fungi status and trends; and promote responsible use of wild fungi as a livelihood opportunity in rural areas. These steps can facilitate a transition toward better recognizing, valuing, and conserving the ecosystem services wild fungi provide.
Illegal killing of wildlife is a major conservation issue that, to be addressed effectively, requires insight into the drivers of human behaviour. Here we adapt an established socio-psychological model, the theory of planned behaviour, to explore reasons for hunting the Endangered Bewick's swan Cygnus columbianus bewickii in the European Russian Arctic, using responses from hunters to a questionnaire survey. Wider ecological, legal, recreational and economic motivations were also explored. Of 236 hunters who participated overall, 14% harboured intentions to hunt Bewick's swan. Behavioural intention was predicted by all components of the theory of planned behaviour, specifically: hunters' attitude towards the behaviour, perceived behavioural control (i.e. perceived capability of being able to perform the behaviour) and their subjective norms (percep-tion of social expectations). The inclusion of attitude towards protective laws and descriptive norm (perception of whether other people perform the behaviour) increased the model's predictive power. Understanding attitudes towards protective laws can help guide the design of conservation measures that reduce non-compliance. We conclude that conservation interventions should target the socio-psychological conditions that influence hunters' attitudes, social norms and perceived behavioural control. These may include activities that build trust, encourage support for conservation, generate social pressure against poaching, use motivations to prompt change and strengthen peoples' confidence to act. This approach could be applied to inform the effective design, prioritization and targeting of interventions that improve compliance and reduce the illegal killing of wildlife.
The effectiveness of behavioural interventions in conservation often depends on local resource users' underlying social interactions. However, it remains unclear to what extent differences in related topics of information shared between resource users can alter network structure—holding implications for information flows and the spread of behaviours. Here, we explore the differences in nine subtopics of fishing information related to the planned expansion of a community co-management scheme aiming to reduce sea turtle bycatch at a small-scale fishery in Peru. We show that the general network structure detailing information sharing about sea turtle bycatch is dissimilar from other fishing information sharing. Specifically, no significant degree assortativity (degree homophily) was identified, and the variance in node eccentricity was lower than expected under our null models. We also demonstrate that patterns of information sharing between fishers related to sea turtle bycatch are more similar to information sharing about fishing regulations, and vessel technology and maintenance, than to information sharing about weather, fishing activity, finances and crew management. Our findings highlight the importance of assessing information-sharing networks in contexts directly relevant to the desired intervention and demonstrate the identification of social contexts that might be more or less appropriate for information sharing related to planned conservation actions.
Social networks are critical to the success of behavioral interventions in conservation because network processes such as information flows and social influence can enable behavior change to spread beyond a targeted group. We investigated these mechanisms in the context of a social marketing campaign to promote a wildlife poisoning hotline in Cambodia. With questionnaire surveys we measured a social network and knowledge and constructs from the theory of planned behavior at 3 points over 6 months. The intervention initially targeted ∼11% (of 365) of the village, but after 6 months ∼40% of the population was knowledgeable about the campaign. The likelihood of being knowledgeable nearly doubled with each additional knowledgeable household member. In the short term, there was also a modest, but widespread improvement in proconservation behavioral intentions, but this did not persist after 6 months. Estimates from stochastic actor‐oriented models suggested that the influences of social peers, rather than knowledge, were driving changes in intention and contributed to the failure to change behavioral intention in the long term, despite lasting changes in attitudes and perceived norms. Our results point to the importance of accounting for the interaction between networks and behavior when designing conservation interventions.
The range of technologies currently used in biodiversity conservation is staggering, with innovative uses often adopted from other disciplines and being trialed in the field. We provide the first comprehensive overview of the current (2020) landscape of conservation technology, encompassing technologies for monitoring wildlife and habitats, as well as for on-the-ground conservation management (e.g., fighting illegal activities). We cover both established technologies (routinely deployed in conservation, backed by substantial field experience and scientific literature) and novel technologies or technology applications (typically at trial stage, only recently used in conservation), providing examples of conservation applications for both types. We describe technologies that deploy sensors that are fixed or portable, attached to vehicles (terrestrial, aquatic, or airborne) or to animals (biologging), complemented with a section on wildlife tracking. The last two sections cover actuators and computing (including web platforms, algorithms, and artificial intelligence).
Changes to social settings caused by migration, cultural change or pandemics force us to adapt to new social norms. Social norms provide groups of individuals with behavioural prescriptions and therefore can be inferred by observing their behaviour. This work aims to examine how cognitive learning processes affect adaptation and learning of new social norms. Using a multiplayer game, I found that participants initially complied with various social norms exhibited by the behaviour of bot-players. After gaining experience with one norm, adaptation to a new norm was observed in all cases but one, where an active-harm norm was resistant to adaptation. Using computational learning models, I found that active behaviours were learned faster than omissions, and harmful behaviours were more readily attributed to all group members than beneficial behaviours. These results provide a cognitive foundation for learning and adaptation to descriptive norms and can inform future investigations of group-level learning and cross-cultural adaptation.
The ocean contains unique biodiversity, provides valuable food resources and is a major sink for anthropogenic carbon. Marine protected areas (MPAs) are an effective tool for restoring ocean biodiversity and ecosystem services1,2, but at present only 2.7% of the ocean is highly protected³. This low level of ocean protection is due largely to conflicts with fisheries and other extractive uses. To address this issue, here we developed a conservation planning framework to prioritize highly protected MPAs in places that would result in multiple benefits today and in the future. We find that a substantial increase in ocean protection could have triple benefits, by protecting biodiversity, boosting the yield of fisheries and securing marine carbon stocks that are at risk from human activities. Our results show that most coastal nations contain priority areas that can contribute substantially to achieving these three objectives of biodiversity protection, food provision and carbon storage. A globally coordinated effort could be nearly twice as efficient as uncoordinated, national-level conservation planning. Our flexible prioritization framework could help to inform both national marine spatial plans⁴ and global targets for marine conservation, food security and climate action.
Wildlife conservation and research benefits enormously from automated and interconnected monitoring tools. Some of these tools, such as drones, remote cameras, and social media, can collect data on humans, either accidentally or deliberately. They can therefore be thought of as conservation surveillance technologies (CSTs). There is increasing evidence that CSTs, and the data they yield, can have both positive and negative impacts on people, raising ethical questions about how to use them responsibly. CST use may accelerate because of the COVID-19 pandemic, adding urgency to addressing these ethical challenges. We propose a provisional set of principles for the responsible use of such tools and their data: (a) recognize and acknowledge CSTs can have social impacts; (b) deploy CSTs based on necessity and proportionality relative to the conservation problem; (c) evaluate all potential impacts of CSTs on people; (d) engage with and seek consent from people who may be observed and/or affected by CSTs; (e) build transparency and accountability into CST use; (f) respect peoples' rights and vulnerabilities; and (g) protect data in order to safeguard privacy. These principles require testing and could conceivably benefit conservation efforts, especially through inclusion of people likely to be affected by CSTs.
Non-compliance regularly negates the effectiveness of marine protected areas (MPAs) worldwide. Understanding and addressing non-compliance is critical given continued efforts to establish MPAs to meet international milestones (e.g., Aichi targets). We conducted a literature review and meta-analysis to address five key questions and research gaps for MPAs: 1) how is non-compliance best measured? 2) what are common drivers of non-compliance? 3) what is the overall prevalence of non-compliance? 4) how frequently is ecological failure of MPAs attributed to non-compliance? and 5) are there measurable management impacts on regulated fishing in MPAs (i.e., effective reduction of fishing)? We found 151 papers that had some focus on non-compliant resource extraction in MPAs and 96 that quantified it. Insufficient enforcement was the most cited driver of non-compliance, followed by several socio-economic drivers including lack of awareness, livelihood/economic gain, social norms, and ineffective governance. Prohibited fishing in MPAs was often reduced compared to outside areas, as shown by our meta-analysis. However, we found frequent reports and measures of non-compliance globally, and many cases of failed ecological performance attributed primarily to non-compliance (57% of 67 relevant studies). Overall, our synthesis demonstrates that non-compliance continues to be a prevalent issue for MPAs. Reducing non-compliance and ensuring effective MPAs will rely on continuous evaluation of non-compliance to inform adaptive management, as well as addressing the complex, interrelated drivers that arise throughout MPA planning, establishment, and management.
Non‐compliance in fisheries is a persistent challenge for the conservation and sustainable management of the oceans and has particularly acute impacts in small‐scale fisheries contexts. Small‐scale fisheries often suffer from chronic overexploitation, poor management, lack of enforcement and non‐compliance, but small‐scale fishers are highly dependent on the ocean as a source of employment and food. Improving our understanding of the determinants of non‐compliant behaviours in small‐scale fisheries can help develop strategies to prevent and reduce its consequences. Here, we review two main approaches for the study of non‐compliant behaviours and crimes more broadly, spanning criminology, economics and psychology. On the one hand, actor‐based approaches address the underlying motivations for people to comply or not with regulations. Opportunity‐based approaches, on the other hand, assume that non‐compliance is not distributed randomly across space and time and focuses on the role that the immediate environment plays in the performance of non‐compliant behaviours. We discuss potential applications of actor‐based and opportunity‐based approaches in guiding small‐scale fisheries non‐compliance research. Moreover, we provide guiding principles for integrating these approaches in a complementary way, highlighting opportunities and challenges for building a better non‐compliance research agenda for fisheries and beyond. Addressing non‐compliance is a common challenge for natural resource management in multiple ecosystems. Integrating these two perspectives has the potential to improve both research and practice.
Whether getting vaccinated, buying stocks, or crossing streets, people rarely make decisions alone. Rather, multiple people decide sequentially, setting the stage for information cascades whereby early-deciding individuals can influence others’ choices. To understand how information cascades through social systems, it is essential to capture the dynamics of the decision-making process. We introduce the social drift–diffusion model to capture these dynamics. We tested our model using a sequential choice task. The model was able to recover the dynamics of the social decision-making process, accurately capturing how individuals integrate personal and social information dynamically over time and when their decisions were timed. Our results show the importance of the interrelationships between accuracy, confidence, and response time in shaping the quality of information cascades. The model reveals the importance of capturing the dynamics of decision processes to understand how information cascades in social systems, paving the way for applications in other social systems.
Understanding compliance with conservation rules is key for biodiversity conservation. Here, we assess compliance and its underlying motivations in a small‐scale fishery in Chile. We adapt a framework originally developed for forestry to unpack compliance motivations at within‐individual and between‐individuals levels while accounting for contextual factors. We find that 92–100% fishers comply with temporal or gear rules, while only 3% comply with the quota limit. Legitimacy‐based motivations are more important in explaining why individual fishers comply with temporal/gear rules than they are for compliance with the quota. At the between‐individuals level, we find that normative motivations are significantly related to the degree of non‐compliance with the quota. Contextual factors such as quota levels are key in explaining broader non‐compliance patterns. Our results suggest that considering compliance at appropriate analytical levels is necessary to unpack motivations, guide local and national natural resource management policies, and move toward a better theory of compliance.
Since the beginning of the 21st century, electronic monitoring (EM) has emerged as a cost‐efficient supplement to existing catch monitoring programmes in fisheries. An EM system consists of various activity sensors and cameras positioned on vessels to remotely record fishing activity and catches. The first objective of this review was to describe the state of play of EM in fisheries worldwide and to present the insights gained on this technology based on 100 EM trials and 12 fully implemented programmes. Despite its advantages, and its global use for monitoring, progresses in implementation in some important fishing regions are slow. Within this context, the second objective was to discuss more specifically the European experiences gained through 16 trials. Findings show that the three major benefits of EM were as follows: (a) cost‐efficiency, (b) the potential to provide more representative coverage of the fleet than any observer programme and (c) the enhanced registration of fishing activity and location. Electronic monitoring can incentivize better compliance and discard reduction, but the fishing managers and industry are often reluctant to its uptake. Improved understanding of the fisher's concerns, for example intrusion of privacy, liability and costs, and better exploration of EM benefits, for example increased traceability, sustainability claims and market access, may enhance implementation on a larger scale. In conclusion, EM as a monitoring tool embodies various solid strengths that are not diminished by its weaknesses. Electronic monitoring has the opportunity to be a powerful tool in the future monitoring of fisheries, particularly when integrated within existing monitoring programmes.
There is accumulating evidence that the actions of others are represented in the motor system, leading to automatic imitation. However, whereas early work focused mainly on the effects of observing a single agent, recent studies indicate that the actions of multiple agents can be represented simultaneously. Yet, theorizing has lagged behind. The current study extends the dual-route model of automatic imitation to include multiple agents, and demonstrates, in five simulation studies, that the extended model is able to capture four critical multi-agent effects. Importantly, however, it was necessary to augment the model with a control mechanism regulating response inhibition based on the number of observed actions. Furthermore, additional simulation indicated that this mechanism could be driven by response conflict. Together, our results demonstrate how theories of automatic imitation can be extended from single- to multi-agent settings. As such, they constitute an important step towards a mechanistic understanding of social interaction beyond the dyad.
Descriptive norms guide social behavior by informing what other people do. In a conceptual
proposition, we suggest that descriptive norms also could signal what other
people don’t do. Building on the evolutionary predisposition to more urgently attend
to negative than positive information, we hypothesize that people are more strongly
influenced by choices that other people avoid, than by choices that other people
choose. Descriptive data in three experiments consistently demonstrated that more
participants conformed to information about what other people don’t do (i.e., the
don’t‐norm) than information about what other people do (i.e., the do‐norm). We
found that don’t‐norms more strongly influenced pro‐environmental choices related
to both energy efficiency (Experiment 1) and sustainable food consumption
(Experiments 2 and 3). The increased influence of the don’t‐norm were supported in
two cultures (Sweden and USA), in two decision contexts (accepting and rejecting),
and when using two wordings (want vs. avoid and preferred vs. unpreferred). These
results suggest that descriptive do‐ and don’t‐norms are conceptually distinct and
that don’t‐norms exert stronger influential power.
Park managers call for cost-effective and innovative solutions to handle a wide variety of environmental problems that threaten biodiversity in protected areas. Recently, drones have been called upon to revolutionize conservation and hold great potential to evolve and raise better-informed decisions to assist management. Despite great expectations, the benefits that drones could bring to foster effectiveness remain fundamentally unexplored. To address this gap, we performed a literature review about the use of drones in conservation. We selected a total of 256 studies, of which 99 were carried out in protected areas. We classified the studies in five distinct areas of applications: “wildlife monitoring and management”; “ecosystem monitoring”; “law enforcement”; “ecotourism”; and “environmental management and disaster response”. We also identified specific gaps and challenges that would allow for the expansion of critical research or monitoring. Our results support the evidence that drones hold merits to serve conservation actions and reinforce effective management, but multidisciplinary research must resolve the operational and analytical shortcomings that undermine the prospects for drones integration in protected areas.
There is now converging evidence that others’ actions are represented in the motor system. However, social cognition requires us to represent not only the actions but also the interactions of others. To do so, it is imperative that the motor system can represent multiple observed actions. The current fMRI study investigated whether this is possible by measuring brain activity from 29 participants while they observed 2 right hands performing sign language gestures. Three key results were obtained. First, brain activity in the premotor and parietal motor cortex was stronger when 2 hands performed 2 different gestures than when 1 hand performed a single gesture. Second, both individual observed gestures could be decoded from brain activity in the same 2 regions. Third, observing 2 different gestures compared with 2 identical gestures activated brain areas related to motor conflict, and this activity was correlated with parietal motor activity. Together, these results show that the motor system is able to represent multiple observed actions, and as such reveal a potential mechanism by which third-party social encounters could be processed in the brain.
Although it is well known that action observation triggers an imitative response, not much is known about how these responses develop as a function of group size. Research on social contagion suggests that imitative tendencies initially increase but then stabilize as groups become larger. However, these findings have mainly been explained in terms of interpretative processes. Across seven experiments (N = 322), the current study investigated the contribution of sensorimotor processes to social group contagion by looking at the relation between group size and automatic imitation in a task that involved minimal interpretation. The results of Experiments 1-2 revealed that automatic imitation increased with group size according to an asymptotic curve on congruent trials but a linear curve on incongruent trials. The results of Experiments 3-7 showed that the asymptote on congruent trials disappeared when no control was needed, namely in the absence of incongruent trials. This suggests that the asymptote in the relation between group size and automatic imitation can be explained in terms of strategic control mechanisms that aim to prevent unintended imitative responses. The findings of the current study are in close correspondence with previous research in the social domain and as such support the hypothesis that sensorimotor processes contribute to the relation between group size and social contagion.
As virtual reality (VR) technology and systems become more commercially available and accessible, more and more psychologists are starting to integrate VR as part of their methods. This approach offers major advantages in experimental control, reproducibility, and ecological validity, but also has limitations and hidden pitfalls which may distract the novice user. This study aimed to guide the psychologist into the novel world of VR, reviewing available instrumentation and mapping the landscape of possible systems. We use examples of state-of-the-art research to describe challenges which research is now solving, including embodiment, uncanny valley, simulation sickness, presence, ethics, and experimental design. Finally, we propose that the biggest challenge for the field would be to build a fully interactive virtual human who can pass a VR Turing test – and that this could only be achieved if psychologists, VR technologists, and AI researchers work together.
Small-scale fisheries can greatly impact threatened marine fauna. Peru's small-scale elasmobranch gillnet fishery captures thousands of sharks and rays each year, and incidentally captures sea turtles, marine mammals and seabirds. We assessed the ability of a dedicated fisheries remote electronic monitoring (REM) camera to identify and quantify captures in this fishery by comparing its performance to on-board observer reports. Cameras were installed across five boats with a total of 228 fishing sets monitored. Of these, 169 sets also had on-board fisheries observers present. The cameras were shown to be an effective tool for identifying catch, with > 90% detection rates for 9 of 12 species of elasmobranchs caught. Detection rates of incidental catch were more variable (sea turtle = 50%; cetacean = 80%; pinniped = 100%). The ability to quantify target catch from camera imagery degraded for fish quantities exceeding 15 individuals. Cameras were more effective at quantifying rays than sharks for small catch quantities (x ≤ 15 fish), whereas size affected camera performance for large catches (x > 15 fish). Our study showed REM to be effective in detecting and quantifying elasmobranch target catch and pinniped bycatch in Peru's small-scale fishery, but not, without modification, in detecting and quantifying sea turtle and cetacean bycatch. We showed REM can provide a time-and cost-effective method to monitor target catch in small-scale fisheries and can be used to overcome some deficiencies in observer reports. With modifications to the camera specifications, we expect performance to improve for all target catch and bycatch species.
The term “environmental problem” exposes a fundamental misconception: Disruptions of Earth’s ecosystems are at their root a human behavior problem. Psychology is a potent tool for understanding the external and internal drivers of human behavior that lead to unsustainable living. Psychologists already contribute to individual-level behavior-change campaigns in the service of sustainability, but attention is turning toward understanding and facilitating the role of individuals in collective and collaborative actions that will modify the environmentally damaging systems in which humans are embedded. Especially crucial in moving toward long-term human and environmental well-being are transformational individuals who step outside of the norm, embrace ecological principles, and inspire collective action. Particularly in developed countries, fostering legions of sustainability leaders rests upon a fundamental renewal of humans’ connection to the natural world.
Social information use is common in a wide range of group-living animals, notably in humans. The role it plays in decision-making could be a key to understanding how social groups make collective decisions. The observation of road-crossing behaviours in the presence of other individuals is an ideal means to study the influence of social information on decision-making. This study investigated the influence of culture on social information used by pedestrians in a potentially dangerous scenario, namely road crossing. We scored the collective crossing of pedestrians at four locations in Nagoya (Japan) and three locations in Strasbourg (France). French pedestrians cross against the lights much more often (41.9%) than Japanese ones (2.1%). Individuals deciding to cross the road were strongly influenced by the behaviour and the presence of other pedestrians, especially in Japan, where a stronger conformism was noted. However, Japanese pedestrians were half as likely to be influenced by social information as their French counterparts when crossing at the red light, as they were more respectful of rules. Men show riskier behaviour than women (40.6% versus 25.7% of rule-breaking, respectively), deciding quickly and setting off earlier than women. Further related studies could help target specific preventive, culture-specific solutions for pedestrian safety.
Significance
There is broad public interest in the health of our oceans and marine life at local, national, and international levels. In recent years there has been increasing concern about whether our fisheries can sustainably provide seafood without overfishing fish stocks. Several papers have described the global status of fish populations (i.e., their abundance and exploitation rates) and have hypothesized influences of fisheries management, but this report is unique in being a comprehensive analysis of how specific management attributes (which are numerous and operate simultaneously) affect population status across oceans, countries, and taxonomic groups. Our report integrates management policies and population ecology to assess sustainable harvesting outcomes of target species in marine fisheries; results have important global food security implications.
Non-compliance with fishing regulations can undermine management effectiveness. Previous bivariate approaches were unable to untangle the complex mix of factors that may influence fishers’ compliance decisions, including enforcement, moral norms, perceived legitimacy of regulations and the behaviour of others. We compared seven multivariate behavioural models of fisher compliance decisions using structural equation modeling. An online survey of over 300 recreational fishers tested the ability of each model to best predict their compliance with two fishing regulations (daily and size limits). The best fitting model for both regulations was composed solely of psycho-social factors, with social norms having the greatest influence on fishers’ compliance behaviour. Fishers’ attitude also directly affected compliance with size limit, but to a lesser extent. On the basis of these findings, we suggest behavioural interventions to target social norms instead of increasing enforcement for the focal regulations in the recreational blue cod fishery in the Marlborough Sounds, New Zealand. These interventions could include articles in local newspapers and fishing magazines highlighting the extent of regulation compliance as well as using respected local fishers to emphasize the benefits of compliance through public meetings or letters to the editor. Our methodological approach can be broadly applied by natural resource managers as an effective tool to identify drivers of compliance that can then guide the design of interventions to decrease illegal resource use.
Hundreds of studies have found that humans’ decisions are strongly influenced by the opinions of others, even when making
simple perceptual decisions. In this study, we aimed to clarify whether this effect can be explained by social influence biasing
(early) perceptual processes. We employed stimulus evoked potentials, lateralized readiness potentials (LRPs) and a diffusion
model analysis of reaction time data to uncover the neurocognitive processes underlying social conformity in perceptual decision-making.
The diffusion model analysis showed that social conformity was due to a biased uptake of stimulus information and accompanied
by more careful stimulus processing. As indicated by larger N1-amplitudes, social influence increased early attentional resources
for stimulus identification and discrimination. Furthermore, LRP analyses revealed that stimulus processing was biased even
in cases of non-conformity. In conclusion, our results suggest that the opinion of others can cause individuals to selectively
process stimulus information supporting this opinion, thereby inducing social conformity. This effect is present even when
individuals do not blindly follow the majority but rather carefully process stimulus information.
The sociology of violence has undergone a tremendous change over the past 10 years, increasingly arguing that situational factors are key to violence emergence, rather than context factors. Yet, many key questions regarding this novel situational approach remain unanswered: How can situation and context be conceptually specified? Can context be integrated into a situational explanatory model? And what causal understanding underlies situational approaches? To answer these questions, the paper relies on my empirical studies of officer deadly use of force and of collective violence in protests, as well as other scholars’ empirical work. The article first proposes a specified definition of situation and context. Using these concepts, it then proposes a causal specification of the situational approach through necessary, sufficient, and INUS conditions, as well as context factors as risk factors to violence. Third, in an outlook, it argues that this causal relationship between situation, context, and violence can be theoretically framed through an elaborated symbolic interactionism that integrates context into a situational approach. It also discusses the relevance of the debate for violence avoidance and for other research fields.
Rules form an important part of our everyday lives. Here we explore the role of social influence in rule-breaking. In particular, we identify some of the cognitive mechanisms underlying rule-breaking and propose approaches for how they can be scaled up to the level of groups or crowds to better understand the emergence of collective rule-breaking. Social contagion plays an important role in such processes and different dynamics such as linear or rapid nonlinear spreading can have important consequences for interventions in rule-breaking. A closer integration of cognitive psychology, microsociology and mathematical modelling will be key to a deeper understanding of collective rule-breaking to turn this field of research into a predictive science.
iEcology and conservation culturomics are two emerging research approaches that rely on digital data for studying ecological patterns and human-nature interactions. We applied data mining of videos published on YouTube related to recreational fishing of four species of groupers (family: Epinephelidae) in Italy between 2011 and 2017 to learn whether digital user-supplied data help uncover key spatio-temporal ecological patterns characteristic of the studied species. Our results support an ontogenetic deepening of the dusky grouper (Epinephelus marginatus) as revealed by a positive relationship between body mass and depth of captures declared in spearfishing videos. In addition, the data support a northward expansion of the white grouper (Epinephelus aeneus) because the average latitude associated to the catch was found to be positively correlated with the years when the videos were uploaded on YouTube. Furthermore, the georeferenced data about the white grouper filled a knowledge gap in a well-established international occurrence records dataset. The approach presented here could help mitigating data deficiencies and inform about harvesting patterns shown by recreational anglers and spearfishers. Our work illustrates the value of digital data associated with recreational fishing for advancing fish and fisheries research. The approach can be broadened to larger spatial and temporal scales, and to different species, contributing to a better understanding of macroecological patterns, assessment and conservation of exploited species, and monitoring of recreational fisheries.
Overfishing may seriously impact fish populations and ecosystems. Marine protected areas (MPAs) are key tools for biodiversity conservation and fisheries management, yet the fisheries benefits remain debateable. Many MPAs include a fully protected area (FPA), restricting all activities, within a partially protected area (PPA) where potentially sustainable activities are permitted. An effective tool for biodiversity conservation, FPAs, can sustain local fisheries via spillover, that is the outward export of individuals from FPAs. Spillover refers to both: “ecological spillover”: outward net emigration of juveniles, subadults and/or adults from the FPA; and “fishery spillover”: the fraction of ecological spillover that directly benefits fishery yields and revenues through fishable biomass. Yet, how common is spillover remains controversial. We present a meta‐analysis of a unique global database covering 23 FPAs worldwide, using published literature and purposely collected field data, to assess the capacity of FPAs to export biomass and whether this response was mediated by specific FPA features (e.g. size, age) or species characteristics (e.g. mobility, economic value). Results show fish biomass and abundance outside FPAs was higher: (a) in locations close to FPA borders (<200 m) than further away (>200 m); (b) for species with a high commercial value; and (c) in the presence of PPA surrounding the FPA. Spillover was slightly higher in FPAs that were larger and older and for more mobile species. Based on the broadest data set compiled to date on marine species ecological spillover beyond FPAs' borders, our work highlights elements that could guide strategies to enhance local fishery management using MPAs.
This review explores those varied bodies of work that have sought to understand crowd behavior and violent crowd conduct in particular. Although the study of such collective conduct was once considered central to social science, this has long ceased to be the case and in many respects the study of protest and riot now receives relatively little attention, especially within criminology. In addition to offering a critical overview of work in this field, this review argues in favor of an expanded conception of its subject matter. In recent times, scholarly concern has increasingly been focused on questions of etiology, i.e., asking how and why events such as riots occur, with the consequence that less attention is paid to other, arguably equally important questions, including how riots spread, how they end, and, critically, what happens in their aftermath. Accordingly, as a corrective, the review proposes a life-cycle model of riots.
This article has been accepted for publication on June 12, 2020. Changes may still occur before final publication. Expected final online publication date for the Annual Review of Criminology, Volume 4 is January 13, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
This guide describes best practices in using eye tracking technology for research in a variety of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye movements is provided, along with a description of the sorts of research questions eye tracking can address. We then explain how eye tracking technology works and what sorts of data it generates, and provide guidance on how to select and use an eye tracker as well as selecting appropriate eye tracking measures. Challenges to the validity of eye tracking studies are described, along with recommendations for overcoming these challenges. We then outline correct reporting standards for eye tracking studies.
Illegal fishing is an acknowledged problem within no‐take areas (NTAs), which are frequently used as a marine conservation management tool. While gathering data on illegal fishing is difficult, it is necessary, as these data enable increased efficiency of compliance patrols, where resources are inherently limited. In particular, information about short‐term temporal variations in illegal fishing in NTAs is needed to guide management and compliance efforts. To address this knowledge gap, daily variations in illegal fishing effort were examined using surveillance cameras at two sites in New South Wales, Australia. Generalised linear modelling (GLM) identified that illegal fishing was significantly greater on non‐working days and during periods with no rain, light winds and slight seas. The GLM developed provided useful predictions of illegal activity in both the NTA used to build the model and in a second nearby NTA. The study demonstrated that illegal fishing was principally concentrated on days with good boating conditions and was greater at the study site closer to boat launching facilities. These insights will assist with future targeting of enforcement, community outreach and management efforts, which should focus on days and sites with an increased likelihood of illegal fishing.
This book provides an account of how and why routine interactions break down and how such situational breakdowns lead to protest violence and other types of surprising social outcomes. It takes a close-up look at the dynamic processes of how situations unfold and compares their role to that of motivations, strategies, and other contextual factors. The book discusses factors that can draw us into violent situations and describes how and why we make uncommon individual and collective decisions. Covering different types of surprise outcomes from protest marches and uprisings turning violent to robbers failing to rob a store at gunpoint, it shows how unfolding situations can override our motivations and strategies and how emotions and culture, as well as rational thinking, still play a part in these events. The first chapters study protest violence in Germany and the United States from 1960 until 2010, taking a detailed look at what happens between the start of a protest and the eruption of violence or its peaceful conclusion. They compare the impact of such dynamics to the role of police strategies and culture, protesters’ claims and violent motivations, the black bloc and agents provocateurs. The analysis shows how violence is triggered, what determines its intensity, and which measures can avoid its outbreak. The book explores whether we find similar situational patterns leading to surprising outcomes in other types of small- and large-scale events: uprisings turning violent, such as Ferguson in 2014 and Baltimore in 2015, and failed armed store robberies.
Deliberate rule violations have typically been addressed from a motivational perspective thatasked whether or not agents decide to violate rules based on contextual factors and moral con-siderations. Here we complement motivational approaches by providing a cognitive perspectiveon the processes that operate during the act of committing an unsolicited rule violation.Participants were tested in a task that allowed for violating traffic rules by exploiting forbiddenshortcuts in a virtual city maze. Results yielded evidence for sustained cognitive conflict thataffected performance from right before a violation throughout actually committing the violation.Thesefindings open up a new theoretical perspective on violation behavior that focuses onprocesses occurring right at the moment a rule violation takes place.
Since the early 2000s, the proliferation of cameras, whether in mobile phones or CCTV, led to a sharp increase in visual recordings of human behavior. This vast pool of data enables new approaches to analyzing situational dynamics. Application is both qualitative and quantitative and ranges widely in fields such as sociology, psychology, criminology, and education. Despite the potential and numerous applications of this approach, a consolidated methodological frame does not exist. This article draws on various fields of study to outline such a frame, what we call video data analysis (VDA). We discuss VDA’s research agenda, methodological forebears, and applications, introduce an analytic tool kit, and discuss criteria for validity. We aim to establish VDA as a methodological frame and an interdisciplinary analytic approach, thereby enhancing efficiency and comparability of studies, and communication among disciplines that employ VDA. This article can serve as a point of reference for current and future practitioners, reviewers, and interested readers.
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Mobile phones and other geolocated devices have produced unprecedented volumes of data on human movement. Analysis of pooled individual human trajectories using big data approaches has revealed a wealth of emergent features that have ecological parallels in animals across a diverse array of phenomena including commuting, epidemics, the spread of innovations and culture, and collective behaviour. Movement ecology, which explores how animals cope with and optimize variability in resources, has the potential to provide a theoretical framework to aid an understanding of human mobility and its impacts on ecosystems. In turn, big data on human movement can be explored in the context of animal movement ecology to provide solutions for urgent conservation problems and management challenges.
There is growing interest in diffusion models to represent the cognitive and neural processes of speeded decision making. Sequential-sampling models like the diffusion model have a long history in psychology. They view decision making as a process of noisy accumulation of evidence from a stimulus. The standard model assumes that evidence accumulates at a constant rate during the second or two it takes to make a decision. This process can be linked to the behaviors of populations of neurons and to theories of optimality. Diffusion models have been used successfully in a range of cognitive tasks and as psychometric tools in clinical research to examine individual differences. In this review, we relate the models to both earlier and more recent research in psychology.
