Diversity,abundance, and species composition of ants in urban green spaces

Urbanization threatens biodiversity, yet the number and scope of studies on urban arthropod biodiversity are relatively limited. We sampled ant communities in three urban habitats (forest remnants, community gardens, vacant lots) in Detroit and Toledo, USA, to compare species richness, abundance, and species composition. We measured 24 site characteristics to examine relationships between richness and composition and habitat patch size, vegetation, and urban features. Ant richness was higher in forests (26) than in gardens (14) and intermediate in vacant lots (20). Ant richness in gardens and vacant lots negatively correlated with abundance of an exotic ant species (Tetramorium caespitum); thus this ant may affect native ant richness in urban habitats. Ant composition differed with habitat type, and abundance was lowest in forests. Site characteristics varied with habitat type: forests were larger, had more woody plants, higher woody plant richness, more branches, and leaf litter whereas lots and gardens had more concrete and buildings. Vacant lots had taller herbaceous vegetation, and gardens had higher forb richness, density, and more bare ground. Differences in vegetation did not correlate with ant richness, but several vegetation factors (e.g. patch size, number and size of trees, leaf litter, and amount of concrete and buildings) correlated with differences in ant species composition. Additional factors relating to soil, nests, or microclimatic factors may also be important for urban ant communities. Implications for biodiversity conservation in urban ecosystems are discussed.     

Receiving Prosocial Behavior: Examining the Reciprocal Associations between Positive Peer Treatment and Psychosocial and Behavioral Outcomes

This study investigates the prospective and reciprocal associations between positive peer treatment and psychosocial (popularity, preference, psychological distress) and behavioral (prosocial behavior) outcomes during early adolescence. Participants were 270 young adolescents (52% boys; M_age = 11.84 years) who completed peer nomination and self‐report measures as part of a 7‐month longitudinal study (Wave 1; Feb. Grade 6; Wave 2: May, Grade 6; Wave 3: Sept., Grade 7). Cross‐lagged autoregressive path models revealed reciprocal associations between positive peer treatment and prosocial behavior, such that Wave 1 positive peer treatment predicted increases in Wave 2 prosocial behavior and vice versa. Findings are novel, highlight the importance of considering positive peer treatment during adolescence, and set the stage for future work in this area.     

Hardly Silent: Exploring Civic Engagement and Participation among a Panel of Adults Ages 85+

ABSTRACT

The past twenty years have seen a surge of resources for and public attention devoted to civic participation opportunities for older adults in the United States. At the same time, technology has transformed the way information related to political and social issues is spread and shared. As more older adults migrate to using a wider range of communication tools and the internet, technology-mediated forms of engagement represent a new way for the oldest old to participate in society. In this study, a panel of adults ages 85 and older was surveyed to understand their experiences engaging with political and social issues. Responses to a questionnaire (N = 24) and focus groups (n = 22) indicate the oldest old are interested in social and political issues, and there are opportunities for technology to facilitate the oldest olds’ civic and political action. This study identifies roles social workers may play in helping the oldest old engage with social and political issues in their communities.     

Impact of Uncertainty Parameter Distribution on Robust Decision Making Outcomes for Climate Change Adaptation under Deep Uncertainty

Deep uncertainty in future climatic and economic conditions complicates developing infrastructure designed to last several generations, such as water reservoirs. In response, analysts have developed multiple robust decision frameworks to help identify investments and policies that can withstand a wide range of future states. Although these frameworks are adept at supporting decisions where uncertainty cannot be represented probabilistically, analysts necessarily choose probabilistic bounds and distributions for uncertain variables to support exploratory modeling. The implications of these assumptions on the analytical outcomes of robust decision frameworks are rarely evaluated, and little guidance exists in terms of how to select uncertain variable distributions. Here, we evaluate the impact of these choices by following the robust decision-making procedure, using four different assumptions about the probabilistic distribution of exogenous uncertainties in future climatic and economic states. We take a water reservoir system in Ethiopia as our case study, and sample climatic parameters from uniform, normal, extended uniform, and extended normal distributions; we similarly sample two economic parameters. We compute regret and satisficing robustness decision criteria for two performance measures, agricultural water demand coverage and net present value, and perform scenario discovery on the most robust reservoir alternative. We find lower robustness scores resulting from extended parameter distributions and demonstrate that parameter distributions can impact vulnerabilities identified through scenario discovery. Our results suggest that exploratory modeling within robust decision frameworks should sample from extended, uniform parameters distributions.     

Toward integrating research on parent–child emotion talk and linguistic theory: A spotlight on parents’ (in)direct communication

Parent–child discussions about emotion are a key socialization influence on children’s socio‐emotional development. Extant research on parent–child discussions about emotion largely focuses on three main types of discourse content: parental elaboration, parental use of emotion labels and explanations, and parental emotion coaching. A new direction involves distinguishing between parents’ direct and indirect communication of discourse content. This distinction may be vital when considering the role of children’s communicative competence in their developing socio‐emotional competence. We integrate literature on (in)direct communication, a concept prominent in linguistics, and emotion socialization. We argue that parental indirect communication can teach children communicative competence in the context of emotion talk. We discuss literature from the developmental and linguistic fields on parents’ teaching of communicative skills, as well as potential cognitive, relational, and emotional functions of indirectness, with communication and its socialization embedded within cultural context. Finally, we suggest new research directions examining the role of parental indirect communication in children’s socio‐emotional development. By integrating developmental and linguistic literatures, we provide a novel approach to the study of parental emotion socialization through parent–child discourse.     

CVX‐based algorithms for constructing various optimal regression designs

CVX‐based numerical algorithms are widely and freely available for solving convex optimization problems but their applications to solve optimal design problems are limited. Using the CVX programs in MATLAB, we demonstrate their utility and flexibility over traditional algorithms in statistics for finding different types of optimal approximate designs under a convex criterion for nonlinear models. They are generally fast and easy to implement for any model and any convex optimality criterion. We derive theoretical properties of the algorithms and use them to generate new A‐, c‐, D‐ and E‐optimal designs for various nonlinear models, including multi‐stage and multi‐objective optimal designs. We report properties of the optimal designs and provide sample CVX program codes for some of our examples that users can amend to find tailored optimal designs for their problems. The Canadian Journal of Statistics 47: 374–391; 2019 © 2019 Statistical Society of Canada