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Aims Biofumigation, the burying of Brassicaceaous plant tissues to suppress soil pests, is an increasingly practiced technique. However, the efficiency of biofumigation varies considerably and motivated our meta-analysis on the topic. Methods We meta-analyzed data from 46 publications where 934 experiments used 363 unique controls, in order to determine effectiveness of this practice compared with untreated controls, and to identify which aspects of treatment regimens were most important for ensuring success. Conclusions Biofumigation generally reduced pest abundance, reduced incidence of disease, and increased crop yield by 30% over values seen in untreated controls. Neither the plant part incorporated, nor the method used to incorporate it, were important predictors of success. Contrary to our expectations, we found no evidence that solarization was beneficial, and only treatment regimens without solarization were generally effective. While treatment regimens varied, the most effective treatment combination that we identified was the incorporation of young Eruca and Raphanus plants, with high glucosinolate concentrations, applied at high doses with short exposure times to suppress the nematode Globodera in Solanaceous plants. Each component of this regimen would likely increase the effectiveness of biofumigation efforts aimed at other soil pests.

Biodiversity, a multidimensional property of natural systems, is difficult to quantify partly because of the multitude of indices proposed for this purpose. Indices aim to describe general properties of communities that allow us to compare different regions, taxa, and trophic levels. Therefore, they are of fundamental importance for environmental monitoring and conservation, although there is no consensus about which indices are more appropriate and informative. We tested several common diversity indices in a range of simple to complex statistical analyses in order to determine whether some were better suited for certain analyses than others. We used data collected around the focal plant Plantago lanceolata on 60 temperate grassland plots embedded in an agricultural landscape to explore relationships between the common diversity indices of species richness (S), Shannon's diversity (H'), Simpson's diversity (D1), Simpson's dominance (D2), Simpson's evenness (E), and Berger–Parker dominance (BP). We calculated each of these indices for herbaceous plants, arbuscular mycorrhizal fungi, aboveground arthropods, belowground insect larvae, and P. lanceolata molecular and chemical diversity. Including these trait‐based measures of diversity allowed us to test whether or not they behaved similarly to the better studied species diversity. We used path analysis to determine whether compound indices detected more relationships between diversities of different organisms and traits than more basic indices. In the path models, more paths were significant when using H', even though all models except that with E were equally reliable. This demonstrates that while common diversity indices may appear interchangeable in simple analyses, when considering complex interactions, the choice of index can profoundly alter the interpretation of results. Data mining in order to identify the index producing the most significant results should be avoided, but simultaneously considering analyses using multiple indices can provide greater insight into the interactions in a system. Biodiversity is a difficult concept to quantify, partly because of its multidimensional nature, and many simple to complex indices have been developed for this purpose. We collected data on diversity of herbaceous plants, arbuscular mycorrhizal fungi, aboveground arthropods, belowground insect larvae, and Plantago lanceolata molecular and chemical diversity in 60 temperate grasslands and calculated a variety of simple to complex diversity indices for each (S, H', D1, D2, E, BP). While these common diversity indices appeared interchangeable in simple analyses quantifying changes in diversity, when quantifying interactions between diversities the conclusions varied with the index chosen.

Perceived responsibility for responding predicts whether people confront others’ discriminatory behavior, but who is seen as and actually feels responsible for confronting prejudice? Study 1 examined whether people view status-based authority figures, stigmatized targets, or other bystanders as responsible for confronting a witnessed prejudicial remark. Results revealed that participants viewed the authority figure as most responsible for responding, and they reported feeling less personally responsible in the presence of both authorities and targets. Study 2 examined whether being in a position of authority enhances perceptions of responsibility for responding to discrimination and, in turn, facilitates confrontation. Participants who were randomly assigned to a leadership (vs. non-leader control) condition witnessed a racially insensitive remark. Leadership increased perceived responsibility, but did not significantly increase confrontation. Study 3 builds on the previous two studies by showing that leaders in actual organizations feel more responsible for confronting prejudice compared to those who are not conferred authority status. These findings extend previous studies by uncovering an important antecedent (i.e., conferred authority) of feeling responsible for addressing prejudice, which is shown to be a key factor in predicting whether bystanders confront discrimination. Theoretical and practical implications are discussed.

Background and aims Plant diversity – ecosystem processes relationships are essential to our understanding of ecosystem functioning. We aimed at disentangling the nature of such relationships in a mesotrophic grassland that was highly heterogeneous with regards to nutrient availability. Methods Rather than targeting primary productivity, like most existing reports do, we focused our study on belowground ecosystem processes. We tested three, largely mutually exclusive, hypotheses of ecosystem processes relationships: the redundancy hypothesis, the insurance hypothesis and the centrifugal model hypothesis. We sampled the grassland twice within a single plant growing season in a spatially explicit way and assayed the soil for nitrification, urease activity, relative bacterial activity and a microbial community profile based on respiration while we simultaneously assessed plant diversity. Results Results supported the centrifugal model. We justify the lack of support for the other two hypotheses on the basis of having conducted an observational study in an environmentally heterogeneous site. Conclusions The centrifugal model hypothesis appears to be a very good predictive model for explaining diversity in observational, heterogeneous studies. The specific study represents one of the few observational studies that consider measures of ecosystem functioning other than primary productivity.

The community-based participatory research (CBPR) approach across health contexts has matured greatly over the last 20 years. Though contributions to the literature on the development and effectiveness of CBPR interventions have grown, the number of publications on the function and evaluation of actual community-research partnerships has not kept pace. To help address that gap, we searched National Institutes of Health archival data and identified a set of 489 CBPR projects including collaboration-building, exploratory/pilot, research, and program project grants. We found community partner contact information commonly was absent from grant records and contacted principal investigators (PIs) for communitypartner contact information. Subsequently, we built upon established measures to ask principal investigators and community partners for their perceptions of participation in NIH-funded CBPR projects. Many principal investigators and community partners reported existing collaborations—between academicians and community organizations as well as among community organizations. Partners tended to agree on the appropriateness of funding levels to accomplish projects and on the community partners’ability to recruit and retain participants, collect data, and implement interventions. Partners differed in perceptions of participation in research design, data analyses, manuscript and presentation production, and dissemination of findings. Suggestions include collection of lead community partner information without undue burden and increased standard education and involvement of community organizations in research vocabulary and practices.

Background and aims Soil aggregation is a crucial aspect of ecosystem functioning in terrestrial ecosystems. Arbuscular mycorrhizal fungi (AMF) play a key role in soil aggregate formation and stabilization. Here we quantitatively analyzed the importance of experimental settings as well as biotic and abiotic factors for the effectiveness of AMF to stabilize soil macroaggregates. Methods We gathered 35 studies on AMF and soil aggregation and tested 13 predictor variables for their relevance with a boosted regression tree analysis and performed a meta-analysis, fitting individual random effects models for each variable. Results and conclusions The overall mean effect of inoculation with AMF on soil aggregation was positive and predictor variable means were all in the range of beneficial effects. Pot studies and studies with sterilized sandy soil, near neutral soil pH, a pot size smaller than 2.5 kg and a duration between 2.2 and 5 months were more likely to result in stronger effects of AMF on soil aggregation than experiments in the field, with non-sterilized or fine textured soil or an acidic pH. This is the first study to quantitatively show that the effect of AMF inoculation on soil aggregation is positive and context dependent. Our findings can help to improve the use of this important ecosystem process, e.g. for inoculum application in restoration sites.

This article compares contemporary political rhetoric from and around Donald Trump with early modern discourse on witchcraft. Trump frequently and explicitly positions himself as the victim of political “witch hunts.” I will argue that he also deploys rhetoric that parallels early modern arguments connecting the persecution of witches with the exercise of sovereign authority, implicitly putting him in the position of the witch hunter. The article focuses on two Renaissance texts, Jean Bodin’s On the Demon-Mania of Witches (1580) and King James VI and I’s Daemonologie (1597), highlighting the ways in which both the contemporary and early modern discourses appeal to disruptive conspiracies, the threat of political and epistemic chaos, and the targeting of legitimate political authority. The language and logic of witchcraft, past and present, provides Trump and Trumpians with a powerful rhetorical resource. Cet article compare la rhétorique politique de Donald Trump et de son entourage avec les discours tenus autour de la sorcellerie dans les premiers temps modernes. Trump se présente fréquemment et explicitement comme la victime de « chasses aux sorcières » politiques. Je soutiens qu’il déploie en même temps une rhétorique rappelant les arguments des premiers temps modernes qui associaient la persécution des sorcières à l’exercice de l’autorité souveraine. Ce faisant, il se met implicitement dans la position d’un chasseur de sorcières. À partir de deux textes de la Renaissance, De la Démonomanie des sorciers (1580) de Jean Bodin et Daemonologie (1597) du roi Jacques VI et Ier, cet article montre en quoi tant les discours contemporains que ceux des premiers temps modernes font référence à des complots subversifs, à la menace d’un chaos politique et épistémique, et à la lutte contre l’autorité politique légitime. Le langage et la logique de la sorcellerie, dans le passé comme aujourd’hui, offrent à Trump et aux trumpistes une puissante ressource rhétorique.

Purpose This study tested competing predictions about the impact of nepotistic hiring on perceptions of nepotism beneficiaries, focusing specifically on the performance attributions made about nepotism hires. Of particular interest is how the qualifications of the family member compared to other applicants impacts perceptions of the nepotism hire. Methodology Two experimental studies, using scenarios that simulated the hiring process, were conducted. Participants reviewed materials describing the hiring process for a manager and then completed a questionnaire assessing their perceptions of the person hired. Findings Results showed that successful performance of nepotism beneficiaries was attributed more to political skills and relationships with upper management and less to ability and effort than was the case for non-beneficiaries and that they were perceived as less competent and as having fewer characteristics of successful managers. These negative perceptions occurred regardless of the family member's qualifications. Implications This study contributes to our understanding of nepotistic hiring practices. More negative performance attributions and perceptions of competence for nepotism beneficiaries may hinder their effectiveness on the job. Knowledge gained from this study may help businesses who want to hire family members of current employees to manage this process more effectively. Originality/Value This is one of the first studies to examine the consequences of nepotistic hiring for nepotism beneficiaries and the first study to examine how nepotistic hiring effects the performance attributions made about nepotism beneficiaries. It is also the only study to empirically examine how the qualifications of the nepotism beneficiary influence others' reactions to them.

Both a high number of species and abundance in multiple trophic levels are required for ecosystems to continue to provide the services humans require of them. The importance of biodiversity in depth Numerous experiments have shown that the loss of biodiversity within single trophic groups — groups of organisms consuming resources from a similar level in the food chain — reduces the ability of ecosystems to deliver the services on which humans depend. How the loss of biodiversity in natural ecosystems consisting of multiple interacting trophic groups affects ecosystem functioning has remained unclear. Santiago Soliveres et al . have compiled data on the richness and abundance of 4,600 microbial, plant and animal taxa in 150 grasslands in Germany, together with information on 14 ecosystem services. Their analysis of the data demonstrates that biodiversity across multiple trophic groups is as important for the functioning of ecosystems as land-use intensity or environmental conditions. They conclude that the preservation of high levels of richness and diversity within a wide range of taxa will be key to ensuring that ecosystems continue to deliver the services on which humans rely. The findings also inform conservation and ecosystem management strategies by highlighting the most functionally relevant organisms, which include plants, soil bacteria and herbivorous insects. Many experiments have shown that loss of biodiversity reduces the capacity of ecosystems to provide the multiple services on which humans depend 1 , 2 . However, experiments necessarily simplify the complexity of natural ecosystems and will normally control for other important drivers of ecosystem functioning, such as the environment or land use. In addition, existing studies typically focus on the diversity of single trophic groups, neglecting the fact that biodiversity loss occurs across many taxa 3 , 4 and that the functional effects of any trophic group may depend on the abundance and diversity of others 5 , 6 . Here we report analysis of the relationships between the species richness and abundance of nine trophic groups, including 4,600 above- and below-ground taxa, and 14 ecosystem services and functions and with their simultaneous provision (or multifunctionality) in 150 grasslands. We show that high species richness in multiple trophic groups (multitrophic richness) had stronger positive effects on ecosystem services than richness in any individual trophic group; this includes plant species richness, the most widely used measure of biodiversity. On average, three trophic groups influenced each ecosystem service, with each trophic group influencing at least one service. Multitrophic richness was particularly beneficial for ‘regulating’ and ‘cultural’ services, and for multifunctionality, whereas a change in the total abundance of species or biomass in multiple trophic groups (the multitrophic abundance) positively affected supporting services. Multitrophic richness and abundance drove ecosystem functioning as strongly as abiotic conditions and land-use intensity, extending previous experimental results 7 , 8 to real-world ecosystems. Primary producers, herbivorous insects and microbial decomposers seem to be particularly important drivers of ecosystem functioning, as shown by the strong and frequent positive associations of their richness or abundance with multiple ecosystem services. Our results show that multitrophic richness and abundance support ecosystem functioning, and demonstrate that a focus on single groups has led to researchers to greatly underestimate the functional importance of biodiversity.

Although temporal heterogeneity is a well-accepted driver of biodiversity, effects of interannual variation in land-use intensity (LUI) have not been addressed yet. Additionally, responses to land use can differ greatly among different organisms; therefore, overall effects of land-use on total local biodiversity are hardly known. To test for effects of LUI (quantified as the combined intensity of fertilization, grazing, and mowing) and interannual variation in LUI (SD in LUI across time), we introduce a unique measure of whole-ecosystem biodiversity, multidiversity. This synthesizes individual diversity measures across up to 49 taxonomic groups of plants, animals, fungi, and bacteria from 150 grasslands. Multidiversity declined with increasing LUI among grasslands, particularly for rarer species and aboveground organisms, whereas common species and belowground groups were less sensitive. However, a high level of interannual variation in LUI increased overall multidiversity at low LUI and was even more beneficial for rarer species because it slowed the rate at which the multidiversity of rare species declined with increasing LUI. In more intensively managed grasslands, the diversity of rarer species was, on average, 18% of the maximum diversity across all grasslands when LUI was static over time but increased to 31% of the maximum when LUI changed maximally over time. In addition to decreasing overall LUI, we suggest varying LUI across years as a complementary strategy to promote biodiversity conservation.