The cultural dimension of environment: Ethnoscientific study on Santhal community in eastern India

This study explores the Santhal community to enhance the understanding of the human-nature relationship that fully captures distinct intricacies of ethnoecology. Relying on a qualitative research design, this study focuses on the perception and interpretation of environmental aspects using ethnoscientific methods among Santhals in West Bengal, India. It reveals that Santhals are still unique in perceiving the environment learned through folk models. Santhal’s perception of environmental domains is constituted by various cognitive elements (resource distributions, care, feelings, attachment, myths, and superstitious credence toward their environment) and multifaceted interpretations (living beings, nonliving objects, natural and built environment). Based on its evidence, this study recommends that indigenous worldview-based ethnoscientific knowledge is the identity of indigenity that shapes ethnoscientific knowledge can be used in sustainable resource management practice. Furthermore, the study proposes a view that ignoring this unique ethnoscientific knowledge-based worldview base may degenerate the indigenous culture.

Gods, Games, and the Socioecological Landscape

The social sciences have long recognized a relationship between religion and social ecology. Upon closer inspection, religious systems not only correspond to important features of a society’s social ecology, but also appear to directly address these features. In this article, we examine the prospect that these salient features may be framed as game theoretical dilemmas and argue that contemporary approaches that emphasize cognition and/or social learning at the expense of social ecology are inadequate in accounting for cross-cultural variation in religious expression. Using ethnographic examples, we show that religions alleviate the costs of such dilemmas in a variety of ways by: 1) fostering beliefs that motivate and sustain beneficial practices; 2) incentivizing cooperative ventures; 3) encouraging ritual performances that minimize costly conflicts and bolster territorial conventions; 4) providing institutional forums to coordinate resource distributions; and 5) maintaining important resource and species diversity.

A comparative test of inequity aversion in domestic dogs (Canis familiaris) and dingoes (Canis dingo)

Despite much recent empirical work on inequity aversion in nonhuman species, many questions remain about its distribution across taxa and the factors that shape its evolution and expression. Past work suggests that domestic dogs (Canis familiaris) and wolves (Canis lupus) are averse to inequitable resource distributions in contexts that call upon some degree of training such as ‘give paw’ and ‘buzzer press’ tasks. However, it is unclear whether inequity aversion appears in other canid species and in other experimental contexts. Using a novel inequity aversion task that does not require specific training, this study helps address these gaps by investigating inequity aversion in domestic dogs and a closely related but non-domesticated canid, the dingo (Canis dingo). Subjects were presented with equal and unequal reward distributions and given the opportunity to approach or refuse to approach allocations. Measures of interest were (1) subjects’ refusal to approach when getting no food; (2) approach latency; and (3) social referencing. None of these measures differed systematically across the inequity condition and control conditions in either dogs or dingoes. These findings add to the growing literature on inequity aversion in canids, providing data from a new species and a new experimental context. Additionally, they raise questions about the experimental features that must be in place for inequity aversion to appear in canids.

Neoliberalism and the ideological construction of equity beliefs

Researchers across disciplines, including psychology, have sought to understand how people evaluate the fairness of resource distributions. Equity, defined as proportionality of rewards to merit, has dominated the conceptualization of distributive justice in psychology, with some scholars casting it as the primary basis on which distributive decisions are made. The present paper acts as a corrective to this disproportionate emphasis on equity. Drawing on findings from different subfields, we argue that people possess a range of beliefs about how valued resources should be allocated—beliefs that vary systematically across developmental stages, relationship types, and societies. By reinvigorating notions of distributive justice put forth by the field’s pioneers, we further argue that prescriptive beliefs concerning resource allocation are ideological formations embedded in socioeconomic and historical contexts. Fairness beliefs at the micro-level are thus shaped by those beliefs’ macro-level instantiations. In a novel investigation of this process, we consider neoliberalism, the globally-dominant socioeconomic model of the past forty years. Using data from more than 160 countries, we uncover evidence that neoliberal economic structures shape equity based distributive beliefs at the individual level. We conclude by advocating an integrative approach to the study of distributive justice that bridges microand macro-level analyses.

Big Data in the city

This editorial introduces a Special Issue on Big Data in the City. Collectively, six research articles and two commentaries explore the roles that Big Data can and might play in enhancing our understanding of urban processes and the qualities of urban outcomes. Big Data may be intrinsically considered a neutral technology but – refracted through existing power structures and resource distributions – its application within cities is by no means guaranteed always to help in the amelioration of social injustices or in the promotion of urban well-being. In application, Big Data becomes a performative technology that can be, is and will be further used in the creation and regulation of the cities of this century, a process that will be messy and of mixed consequence. The task for urban studies research is to shape that performativity, and to challenge any tendency that emerges to the further entrenchment of social inequities. In pursuit of these aims, and sensitively deployed, Big Data can be cast as part of the route map to better urban futures.

Not just what you did, but how: Children care about precision when judging resource distributions

To distribute resources in a fair way, identifying an appropriate outcome is not enough: We must also find a way to produce it. To solve this problem, young children spontaneously use number words and counting in fairness tasks. We hypothesized that children are also sensitive to other people’s use of counting, as it reveals that the distributor was motivated to produce the outcome they believed was fair. We show that children (ages four to six) believe that agents who count when distributing resources are more fair than agents who produce the same outcome without counting, even when both agents invest the same amount of effort. And vice versa, when the same two agents produce an unfair outcome, children now condemn the agent who counted. Our findings suggest that, from childhood, people understand that counting reflects a motivation to be precise and use this to evaluate other people’s behavior in fairness contexts.

Social and physical environment independently affect oviposition decisions in Drosophila melanogaster

In response to environmental stimuli, including variation in the presence of conspecifics, animals show highly plastic responses in behavioural and physiological traits influencing reproduction. These responses have been extensively documented in males, but equivalent study of females is so far lacking. We expect females to be highly responsive to environmental variation, with significant impacts on fitness given females’ direct impact on offspring number, size, and developmental conditions. Using Drosophila melanogaster as a model, we manipulate (a) exposure to conspecific females, expected to influence their expectation of number of potential mates and larval density for their own offspring, and (b) test how prior consexual population density interacts with the spatial distribution of potential oviposition sites, with females expected to prefer clustered food resources that can support a larger number of eggs and larvae. After exposure to competition, females were slower to start copulating and reduced their copulation duration – the opposite effect to that observed in males previously exposed to rivals. There was a parallel and perhaps related effect on egg production, with females previously housed in groups laying fewer eggs than those that were housed in solitude. The spatial distribution of resources also influenced oviposition behaviour: females clearly preferred aggregated patches of substrate, being more likely to lay, and laying on more of the available patches, in the clustered environment. However, we found no significant interaction between prior housing conditions and resource patchiness, indicating that females did not perceive the value of different resource distributions differently when they were expecting either high or low levels of larval competition. While exposure to consexual competition influences copulatory behaviours, it is the distribution of oviposition resources that has a greater impact on oviposition decisions.

Lyapunov Stability Analysis of a Competition Model with Crowding Eects

The present study is connected to the analysis of a nonlinear system that covered a wide range of mathematical biology in terms of competition, cooperation, and symbiosis interactions between two species. We focus on how populations change their densities when two different species follow the non-symmetric logistic growth laws. We have investigated the stability of the corresponding densities of population, and to control the convergence of solutions by proper choice of interacting constant and periodic parameters. It shows the effect of crowding tolerance on both species. It will show that there exists an infinite number of coexistence solutions if the resource distributions are identical for both populations. If the carrying capacity of the first species exceeds the rest one, then eventually the second population drops down to extinction. The results are presented studying the Lyapunov functional, phase portraits, and in a series of numerical examples. GANIT J. Bangladesh Math. Soc. 40.2 (2020) 95-110

Modelling locust foraging: How and why food affects hopper band formation

Locust swarms are a major threat to agriculture, affecting every continent except Antarctica and impacting the lives of 1 in 10 people. Locusts are short horned grasshoppers that exhibit two behaviour types depending on their local population density. These are; solitarious, where they will actively avoid other locusts, and gregarious where they will seek them out. It is in this gregarious state that locusts can form massive and destructive flying swarms or plagues. However, these swarms are usually preceded by the formation of hopper bands by the juvenile wingless locust nymphs. It is thus important to understand the hopper band formation process to control locust outbreaks.On longer time-scales, environmental conditions such as rain events synchronize locust lifecycles and can lead to repeated outbreaks. On shorter time-scales, changes in resource distributions at both small and large spatial scales have an effect on locust gregarisation. It is these short time-scale locust-resource relationships and their effect on hopper band formation that are of interest.In this paper we investigate not only the effect of food on both the formation and characteristics of locust hopper bands but also a possible evolutionary explanation for gregarisation in this context. We do this by deriving a multi-population aggregation equation that includes non-local inter-individual interactions and local inter-individual and food interactions. By performing a series of numerical experiments we find that there exists an optimal food width for locust hopper band formation, and by looking at foraging efficiency within the model framework we uncover a possible evolutionary reason for gregarisation.Author summaryLocusts are short horned grass hoppers that live in two diametrically opposed behavioural states. In the first, solitarious, they will actively avoid other locusts, whereas the second, gregarious, they will actively seek them out. It is in this gregarious state that locusts form the recognisable and destructive flying adult swarms. However, prior to swarm formation juvenile flightless locusts will form marching hopper bands and make their way from food source to food source. Predicting where these hopper bands might form is key to controlling locust outbreaks.Research has shown that changes in food distributions can affect the transition from solitarious to gregarious. In this paper we construct a mathematical model of locust-locust and locust-food interactions to investigate how and why isolated food distributions affect hopper band formation. Our findings suggest that there is an optimal food width for hopper band formation and that being gregarious increases a locusts ability to forage when food width decreases.