Experimental mood manipulation does not induce change in preference for natural landscapes

According to evolutionary theory, emotions are psychological mechanisms that have evolved to enhance fitness in specific situations by motivating appropriate (adaptive) behavior. Taking this perspective, a previous study examined the relationship between mood and preference for natural environments. It reported that participants’ anxiety level was associated with a preference for landscapes offering what Appleton called "refuge," while participants’ anger and cheerfulness were both associated with a preference for landscapes offering what Appleton called "prospect." We attempted to replicate these results and to improve on the study by experimentally manipulating mood. Using a between-subjects design, 80 participants were instructed to self-induce one of four moods: anger, sadness, anxiety, or joy. After the mood induction, they viewed fourteen landscape photographs and recorded the seven most preferred. It was hypothesized that subjects experiencing anger or joy would prefer landscapes rich in "prospect" features, whereas participants experiencing sadness or anxiety would prefer landscapes rich in "refuge" features. In contrast to the previous study, the predictions were not supported: artificially induced moods may not provide ecological validity as a test of the "mood as motivator" model; alternatively, the first study may have reported an alpha error. To see whether the model has practical value, we recommend a study of landscape preference using participants with clinically significant levels of mood dysphoria. Bernadette Klopp received her B.A. (Honours) in Psychology from the University of Queensland. Her areas of research interest focus on environment and aesthetics, environmental psychology, and the evolution of art as a form of social communication. Bernadette is currently employed by the Commonwealth Rehabilitation Service of Queensland, but she hopes to pursue further graduate study. Linda Mealey, Ph.D., is just finishing a three-year stint as Senior Lecturer at the School of Psychology, University of Queensland, before returning to her Associate Professor position at the College of St. Benedict in central Minnesota. She is Vice-President/President-Elect of the International Society for Human Ethology, a Councilor of the Human Behavior and Evolution Society, and a member of the editorial board of Politics and the Life Sciences.     

Matrix quality and disturbance frequency drive evolution of species behavior at habitat boundaries

Previous theoretical studies suggest that a species' landscape should influence the evolution of its dispersal characteristics, because landscape structure affects the costs and benefits of dispersal. However, these studies have not considered the evolution of boundary crossing, that is, the tendency of animals to cross from habitat to nonhabitat (“matrix”). It is important to understand this dispersal behavior, because of its effects on the probability of population persistence. Boundary‐crossing behavior drives the rate of interaction with matrix, and thus, it influences the rate of movement among populations and the risk of dispersal mortality. We used an individual‐based, spatially explicit model to simulate the evolution of boundary crossing in response to landscape structure. Our simulations predict higher evolved probabilities of boundary crossing in landscapes with more habitat, less fragmented habitat, higher‐quality matrix, and more frequent disturbances (i.e., fewer generations between local population extinction events). Unexpectedly, our simulations also suggest that matrix quality and disturbance frequency have much stronger effects on the evolution of boundary crossing than either habitat amount or habitat fragmentation. Our results suggest that boundary‐crossing responses are most affected by the costs of dispersal through matrix and the benefits of escaping local extinction events. Evolution of optimal behavior at habitat boundaries in response to the landscape may have implications for species in human‐altered landscapes, because this behavior may become suboptimal if the landscape changes faster than the species' evolutionary response to that change. Understanding how matrix quality and habitat disturbance drive evolution of behavior at boundaries, and how this in turn influences the extinction risk of species in human‐altered landscapes should help us identify species of conservation concern and target them for management.     

Ground beetle (Coleoptera: Carabidae) assemblages associated with a satoyama landscape in Japan: the effects of soil moisture,weed height,and distance from woodlands

Agricultural landscapes generally include not only crop fields but also semi-natural habitats. In Japan, such a mixed rural landscape is called “satoyama.” Although ground beetles are potential predators of pests, the environmental factors that determine their distribution in Japanese rural landscapes have not been fully elucidated. To understand the effects of distance from woodland edges, soil moisture, and weed height on assemblages of carabid beetles, we examined the number of adult beetles in pitfall traps placed in a satoyama landscape in the lowlands of western Honshu, Japan. Our results show that the carabid species could be largely differentiated into woodland, intermediate, and open-land species. The “intermediate species” group includes species that depend on woodland or woodland edges for at least part of their life cycles. Paddy fields must have long provided semi-natural habitats that complement those in natural grasslands and wetlands for open-land beetles that prefer wet conditions. Weeds can also increase the abundance of some intermediate and woodland species; thus, the arrangement of such landscape elements as woodlands and paddies can determine the species richness and abundance of ground beetles in agricultural fields.     

Chimpanzees’ spontaneous temporal sorting of stimuli on the basis of physical identity

This study asked the question “Would chimpanzees’ choice of stimuli in a sorting task follow any consistent sequence?”. Four stimuli (e.g., two plastic grapes and two hairpins) were presented on each trial. The two chimpanzees were reinforced after placing all four stimuli, one at a time, in a receptacle. The order that stimuli were chosen was classified into one of three sequences: two pairs (e.g., grape, grape, hairpin, hairpin), one pair (e.g., grape, hairpin, hairpin, grape), or no pairs (e.g., grape, hairpin, grape, hairpin). The hypothesis that the number of different sequences would be equal was rejected (p<.001) for both subjects. The sequence of two pairs occurred most frequently. This result was accounted for by two factors: (1) some stimuli were chosen first significantly more often than others, indicating the subjects preferred certain stimuli; (2) when the data reflecting preferences was removed, the hypothesis that the number of different sequences would be equal was rejected again (p<.001) and the sequence of two pairs still occurred most frequently. The results indicate chimpanzees’ choice of stimuli in a sorting task is an organized rather than a random process.     

Predictive landscapes hidden beneath biological cellular automata

To celebrate Hans Frauenfelder’s achievements, we examine energy(-like) “landscapes” for complex living systems. Energy landscapes summarize all possible dynamics of some physical systems. Energy(-like) landscapes can explain some biomolecular processes, including gene expression and, as Frauenfelder showed, protein folding. But energy-like landscapes and existing frameworks like statistical mechanics seem impractical for describing many living systems. Difficulties stem from living systems being high dimensional, nonlinear, and governed by many, tightly coupled constituents that are noisy. The predominant modeling approach is devising differential equations that are tailored to each living system. This ad hoc approach faces the notorious “parameter problem”: models have numerous nonlinear, mathematical functions with unknown parameter values, even for describing just a few intracellular processes. One cannot measure many intracellular parameters or can only measure them as snapshots in time. Another modeling approach uses cellular automata to represent living systems as discrete dynamical systems with binary variables. Quantitative (Hamiltonian-based) rules can dictate cellular automata (e.g., Cellular Potts Model). But numerous biological features, in current practice, are qualitatively described rather than quantitatively (e.g., gene is (highly) expressed or not (highly) expressed). Cellular automata governed by verbal rules are useful representations for living systems and can mitigate the parameter problem. However, they can yield complex dynamics that are difficult to understand because the automata-governing rules are not quantitative and much of the existing mathematical tools and theorems apply to continuous but not discrete dynamical systems. Recent studies found ways to overcome this challenge. These studies either discovered or suggest an existence of predictive “landscapes” whose shapes are described by Lyapunov functions and yield “equations of motion” for a “pseudo-particle.” The pseudo-particle represents the entire cellular lattice and moves on the landscape, thereby giving a low-dimensional representation of the cellular automata dynamics. We outline this promising modeling strategy.

     

The hot hand phenomenon as a cognitive adaptation to clumped resources

The hot hand phenomenon refers to the expectation of “streaks” in sequences of hits and misses whose probabilities are, in fact, independent (e.g., coin tosses, basketball shots). Here we propose that the hot hand phenomenon reflects an evolved psychological assumption that items in the world come in clumps, and that hot hand, not randomness, is our evolved psychological default. In two experiments, American undergraduates and Shuar hunter–horticulturalists participated in computer tasks in which they predicted hits and misses in foraging for fruits, coin tosses, and several other kinds of resources whose distributions were generated randomly. Subjects in both populations exhibited the hot hand assumption across all the resource types. The only exception was for American students predicting coin tosses where hot hand was reduced. These data suggest that hot hand is our evolved psychological default, which can be reduced (though not eliminated) by experience with genuinely independent random phenomena like coin tosses.     

Lonely hearts advertisements reflect sexually dimorphic mating strategies

Lonely hearts personal advertisements (LHPA) became popular during the 1980s and now appear in nearly every major newspaper. They appear to reflect common male and female reproductive themes. Our analyses of 49 advertisements written by males and 49 advertisements written by females indicate that males offer resources to females and ask for youth and attractiveness, and that females offer youth and attractiveness and ask for resources. When subjects judge these advertisements on a 5-point scale, advertisements are easily grouped into three levels of attractiveness. The attributes of preferred advertisements are defined by those things offered not those things sought. Words or phrases extracted from these advertisements are readily categorized by subjects along a 5-point dimension of desirability. Males and females generally agree on the degree of preference for these 105 words or phrases (r = 0.94), yet differ in degree of preference on 39. Words or phrases preferred by females focus on commitment (e.g., “loving,” “monogamous,” “unattached”). Those preferred by males focus on sexual qualities (e.g., “good figure,” “sexy,” “young”). Individuals of both sexes who indicate a high level of self-confidence prefer words or phrases indicating adventuresome and outgoing qualities. Lack of self-confidence is related to preference for inward-directed qualities. When advertisements are artificially constructed from these words or short phrases, the rating of the advertisements corresponds to the desirability of the individual words. A factor analysis of the words reveals three major factors: (1) words that males prefer; (2) words that females prefer; (3) words that neither males nor females prefer. More highly rated words appear in Factors 1 and 2 than in Factor 3. A survey of 91 lonely hearts advertisement writers demonstrate the same sex differences in what individuals seek and what they offer. Males seek attractivity and offer resources; females seek resources and offer attractivity. After the numerous responses are categorized, only about eight categories for solicitations and eight categories of offers are evident. Interests in resources and attractivity prevail and show sexual dimorphism. Interests in the six remaining categories are nearly identical for the two sexes. Males receive fewer responses to their advertisements than do females. Lengthy advertisements do better for males and shorter ones do better for females. LHPA appear to reflect sexual differences in reproductive concerns. They offer an obvious entry into the motivational systems underlying sexual interactions.     

Landscape effects on the thermotolerance of carabid beetles and the role of behavioral thermoregulation

Physiological thermotolerance and behavioral thermoregulation are central to seasonal cold adaptation in ectothermic organisms. For species with enhanced mobility, behavioral responses may be of greater importance in the cold stress response. Employing the carabid beetles as a study organism, the current study compared physiological thermotolerance and behavioral thermoregulation in carabid species inhabiting cereal fields in different landscape contexts, from fine grain heterogeneous “complex” landscapes to homogenous “simple” landscapes. Physiological thermotolerance was determined via measurement of the CT_min and chill coma temperature. Behavioral responses to cold temperature exposure were determined employing a purpose built arena, and thoracic temperature measured to estimate the efficacy of the behavior as a form of behavioral thermoregulation. Results revealed an influence of landscape composition on the cold tolerance of carabid beetles, although species differed in their sensitivity to landscape intensification. A reduced effect of landscape on the thermotolerance of larger carabid beetles was observed, thought to be the consequence of greater mobility preventing local acclimation to microclimatic variation along the landscape intensification gradient. Investigation into behavioral thermoregulation of the 3 largest species revealed burrowing behavior to be the main behavioral response to cold stress, acting to significantly raise carabid body temperature. This finding highlights the importance of behavioral thermoregulation as a strategy to evade cold stress. The use of behavioral thermoregulation may negate the need to invest in physiological thermotolerance, further offering explanation for the lack of landscape effect on the physiological thermotolerance of larger carabids.     

Beyond the DP/DSS controversy

Paul Turke's “Which humans behave adaptively, and why does it matter?” shows, if he we are to take him as being representative of “Darwinian social science” in general, that his school of thought has moved surprisingly close to that of its “Darwinian psychology” critics in accepting the importance if not the primacy of the psychological level of explanation in applying evolutionary theory to human behavior. Disagreements continue over whether the adaptiveness of current behavior should be viewed as an occasionally interesting question because of the light it can shed on evolved psychological mechanisms, or whether, as Turke maintains, it is the central question for human sociobiology. In any event, the “vertically integrated approach,” utterly ignored by Turke, incorporates Darwinian Psychology and is far more powerful than is Turke's approach in explicating the relationship between genes and culture, thereby rendering the current debate pointless.     

How do biodiversity and conservation values relate to landscape preferences? A case study from the Swiss Alps

The importance of the values underlying different concepts of biodiversity conservation and landscape planning is increasingly recognised, and yet these value judgements of the public and of experts are still poorly understood. Although landscape and conservation management are closely interrelated and measures in one field are likely to have effects on the other, the relationship between biodiversity and conservation values on the one hand, and landscape preferences on the other hand, has been hardly explored so far. This study represents a first attempt to empirically examine this relationship from an integrated perspective, considering philosophical, ecological and economic aspects and using items focused on biodiversity. We used a quantitative survey of the general Swiss population with visualisations of potential landscape developments in the Swiss Alps and items related to biodiversity- and conservation-values. Our research shows that respondents who prefer reforested landscapes tend to be more concerned about the conservation of species, landscapes, and natural processes than people preferring cultural landscapes. Respondents who prefer cultural landscapes are more oriented towards utilitarian values and are overrepresented in mountain areas as compared to the lowlands, thus in areas that are more likely to become the target of conservation measures. Our findings have practical implications for conservation in Switzerland and other mountainous areas, particularly in times of agricultural decline and land abandonment and their associated changes in landscape and biodiversity.     

Die Eh da‐Initiative

The “Eh da”‐Initiative: more space for Biological Diversity in Cultural Landscapes The “Eh da”‐initiative is based on the principle that definite land in cultural landscapes is “available anyway” (what ?eh da“ means in German) and has the potential for ecological upgrading without relevant limitations of land use. “Eh da” could be the acronym “Ecological habitat development areas.” This land is located in open landscapes: along waysides, on uncropped plots in farmland, it could be communal lawn and other land categories. The initiative uses geodata in order to detect and quantify “Eh da”‐sites. According to an analysis based on geodata in selected landscapes “Eh da”‐land constitutes 2–6 per cent of the total area of Germany. “Eh da“‐sites are mostly narrow, longitudinal and spread like a net all over the landscape. Mainly insects and other invertebrate animals can be supported by upgrading of “Eh da”‐land. Since these sites often form corridors, they may be part of communal biodiversity protection initiatives under the perspective of ecological networks, or they may be used for distinct projects. Communication is a key element of any local initiative in which not only the ecological upgrading options, but also potential trade‐offs (like increase of agricultural pests and weeds, neophyta and pyrrolizidine containing or allergenic plants) should be discussed.     

Restoration of Biodiversity and Ecosystem Services on Agricultural Land

Cultivation and cropping are major causes of destruction and degradation of natural ecosystems throughout the world. We face the challenge of maintaining provisioning services while conserving or enhancing other ecosystem services and biodiversity in agricultural landscapes. There is a range of possibilities within two types of intervention, namely “land sharing” and “land separation”; the former advocates the enhancement of the farmed environment, but the latter a separation between land designated for farming versus conservation. Land sharing may involve biodiversity-based agricultural practices, learning from traditional farming, changing from conventional to organic agriculture and from “simple” crops and pastures to agro-forestry systems, and restoring or creating specific elements to benefit wildlife and particular services without decreasing agricultural production. Land separation in the farmland context involves restoring or creating non-farmland habitat at the expense of field-level agricultural production—for example, woodland on arable land. Restoration by land sharing has the potential to enhance agricultural production, other ecosystem services and biodiversity at both the field and landscape scale; however, restoration by land separation would provide these benefits only at the landscape scale. Although recent debate has contrasted these approaches, we suggest they should be used in combination to maximize benefits. Furthermore, we suggest “woodland islets”, an intermediate approach between land abandonment and farmland afforestation, for ecological restoration in extensive agricultural landscapes. This approach allows reconciliation of farmland production, conservation of values linked to cultural landscapes, enhancement of biodiversity, and provision of a range of ecosystem services. Beyond academic research, restoration projects within agricultural landscapes are essential if we want to halt environmental degradation and biodiversity loss.     

Agent-based model approach to optimal foraging in heterogeneous landscapes: effects of patch clumpiness

Optimal foraging theory concerns animal behavior in landscapes where food is concentrated in patches. The efficiency of foraging is an effect of both the animal behavior and the geometry of the landscape; furthermore, the landscape is itself affected by the foraging of animals. We investigated the effect of landscape heterogeneity on the efficiency of an optimal forager. The particular aspect of heterogeneity we considered was "clumpiness"– the degree to which food resource patches are clustered together. The starting point for our study was the framework of the Mean Value Theorem (MVT) by Charnov. Since MVT is not spatially explicit, and thus not apt to investigate effects of clumpiness, we built an agent-based (or individual-based) model for animal movement in discrete landscapes extending the MVT. We also constructed a model for generating landscapes where the clumpiness of patches can be easily controlled, or "tuned", by an input parameter. We evaluated the agent based model by comparing the results with what the MTV would give, i.e. if the spatial effects were removed. The MVT matched the simulations best on landscapes with random patch configuration and high food recovery rates. As for our main question about the effects of clumpiness, we found that, when landscapes were highly productive (rapid food replenishment), foraging efficiency was greatest in clumped landscapes. In less productive landscapes, however, foraging efficiency was lowest in landscapes with a clumped patch distribution.     

Landscape structure influences the use of social information in an insectivorous bat

In anthropogenic landscapes, aerial insectivores are often confronted with variable habitat complexity, which may influence the distribution of prey. Yet, high mobility may allow aerial insectivores to adjust their foraging strategy to different prey distributions. We investigated whether aerial-hunting common noctules Nyctalus noctula adjust their foraging strategy to landscapes with different habitat complexity and assumingly different prey distribution. We hypothesized that the movement behaviour of hunting common noctules and changes of movement behaviour in reaction towards conspecifics would depend on whether they hunt in a structurally poor cropland dominated landscape or a structurally rich forest dominated landscape. We tracked flight paths of common noctules in northeastern Germany using GPS loggers equipped with an ultrasonic microphone that recorded foraging events and presence of conspecifics. Above cropland, common noctules hunted mainly during bouts of highly tortuous and area restricted movements (ARM). Bats switched from straight flight to ARM after encountering conspecifics. In the forested landscape, common noctules hunted both during ARM and during straight flights. The onset of ARM did not correlate with the presence of conspecifics. Common noctules showed a lower feeding rate and encountered more conspecifics above the forested than above the cropland dominated landscape. We conjecture that prey distribution above cropland was patchy and unpredictable, thus making eavesdropping on hunting conspecifics crucial for bats during search for prey patches. In contrast, small scale structural diversity of the forested landscape possibly led to a more homogeneous prey distribution at the landscape scale, thus enabling bats to find sufficient food independent of conspecific presence. This suggests that predators depending on ephemeral prey can increase their foraging success in structurally poor landscapes by using social information provided by conspecifics. Hence, a minimum population density might be obligatory to enable successful foraging in simplified landscapes.     

Predation-Related Costs and Benefits of Conspecific Attraction in Songbirds—An Agent-Based Approach

Songbirds that follow a conspecific attraction strategy in the habitat selection process prefer to settle in habitat patches already occupied by other individuals. This largely affects the patterns of their spatio-temporal distribution and leads to clustered breeding. Although making informed settlement decisions is expected to be beneficial for individuals, such territory clusters may potentially provide additional fitness benefits (e.g., through the dilution effect) or costs (e.g., possibly facilitating nest localization if predators respond functionally to prey distribution). Thus, we hypothesized that the fitness consequences of following a conspecific attraction strategy may largely depend on the composition of the predator community. We developed an agent-based model in which we simulated the settling behavior of birds that use a conspecific attraction strategy and breed in a multi-predator landscape with predators that exhibited different foraging strategies. Moreover, we investigated whether Bayesian updating of prior settlement decisions according to the perceived predation risk may improve the fitness of birds that rely on conspecific cues. Our results provide evidence that the fitness consequences of conspecific attraction are predation-related. We found that in landscapes dominated by predators able to respond functionally to prey distribution, clustered breeding led to fitness costs. However, this cost could be reduced if birds performed Bayesian updating of prior settlement decisions and perceived nesting with too many neighbors as a threat. Our results did not support the hypothesis that in landscapes dominated by incidental predators, clustered breeding as a byproduct of conspecific attraction provides fitness benefits through the dilution effect. We suggest that this may be due to the spatial scale of songbirds’ aggregative behavior. In general, we provide evidence that when considering the fitness consequences of conspecific attraction for songbirds, one should expect a trade-off between the benefits of making informed decisions and the costs of clustering.     

Do Nematode Infections of Red Colobus (Procolobus rufomitratus) and Black-and-White Colobus (Colobus guereza) on Humanized Forest Edges Differ from Those on Nonhumanized Forest Edges?

Forested edges, especially those that border humanized landscapes, provide opportunities for nonhuman primates and people to interact, and such interactions are predicted to alter disease dynamics. Given the rapid expansion of edge habitats globally, understanding changes occurring on edges is important in evaluating primate behavioral ecology and developing conservation plans. Our research investigates predictions concerning how gastrointestinal parasite and stress levels (cortisol) in red colobus and black-and-white colobus (Procolobus rufomitratus; Colobus guereza) in Kibale National Park, Uganda, differ between humanized and nonhumanized forest edges. We found Trichuris sp., an unidentified strongyle, and Strongyloides sp. in the fecal samples. Results did not generally support our expectation that humanized forest edges increase parasite infection and, counter to what we predicted, fecal cortisol did not differ between habitats, suggesting that proximity to edges and/or to humans did not result in increased stress. We conclude that broad habitat classifications, e.g., “humanized,” may be too general to identify consistent differences in parasite infection, as other factors, specific to the parasite (e.g., life cycled), host (e.g., immune systems strength), or environment (e.g., moisture level), likely also play important roles.     

Phenomenological and neurocognitive perspectives on delusions: A critical overview

There is considerable overlap between phenomenological and neurocognitive perspectives on delusions. In this paper, we first review major phenomenological accounts of delusions, beginning with Jaspers’ ideas regarding incomprehensibility, delusional mood, and disturbed “cogito” (basic, minimal, or core self‐experience) in what he termed “delusion proper” in schizophrenia. Then we discuss later studies of decontextualization and delusional mood by Matussek, changes in self and world in delusion formation according to Conrad's notions of “apophany” and “anastrophe”, and the implications of ontological transformations in the felt sense of reality in some delusions. Next we consider consistencies between: a) phenomenological models stressing minimal‐self (ipseity) disturbance and hyperreflexivity in schizophrenia, and b) recent neurocognitive models of delusions emphasizing salience dysregulation and prediction error. We voice reservations about homogenizing tendencies in neurocognitive explanations of delusions (the “paranoia paradigm”), given experiential variations in states of delusion. In particular we consider shortcomings of assuming that delusions necessarily or always involve “mistaken beliefs” concerning objective facts about the world. Finally, we offer some suggestions regarding possible neurocognitive factors. Current models that stress hypersalience (banal stimuli experienced as strange) might benefit from considering the potential role of hyposalience in delusion formation. Hyposalience – associated with experiencing the strange as if it were banal, and perhaps with activation of the default mode network – may underlie a kind of delusional derealization and an “anything goes” attitude. Such an attitude would be conducive to delusion formation, yet differs significantly from the hypersalience emphasized in current neurocognitive theories.     

How should a clever baboon choose and move rocks?

Chacma baboons (Papio ursinus) intentionally overturn rocks to feed on the invertebrates beneath. However, baboons do not move all the rocks they encounter, with this presumably reflecting cost–benefit (or effort–reward) trade‐offs in their foraging behavior. We ask, how do “clever baboons” choose rock sizes and shapes and move these rocks? Using optimal foraging theory, we predicted that baboons would prefer to move medium‐sized rocks, a trade‐off between moving larger rocks that might require more effort to move, and smaller rocks that likely do not provide enough prey (the reward) to make the effort worthwhile. We also expected baboons to prefer rounded rocks as these will require less energy to move by rolling (rather than being flipped as for flat rocks) and that the effort of rock movement might be offset by moving rocks along the shortest axis. We show that baboons have clear preferences for specific rock sizes (medium‐sized) and shapes (angular and flat when these were medium‐sized), and the way in which rocks are moved (along the shortest axis). Prey occurred infrequently under rocks. The low predictability of prey beneath rocks suggests that such prey, when encountered, is of considerable value to baboons for them to expend the search effort, and also explains the extensive nature of rock movement by baboons in the landscape. Our study provides a novel application of the optimal foraging theory concept and has important implications for understanding and predicting how animals choose to move rocks.