Month: April 2024

Can biocontrol be the game-changer in integrated pest management? A review of definitions, methods and strategies

Latest Results

Abstract

Global agriculture is heavily dependent on sustainable plant protection. Worldwide, the concept of integrated pest management (IPM) is being followed. IPM utilizes a range of strategies, with chemical synthetic pesticides being employed only as a last resort. However, in agricultural practice, farmers continue to rely primarily on this option. To further reduce this dependence, new strategies are being sought to strengthen the use of biological control within the IPM approach including the identification of novel non-synthetic natural compounds. Here, we discuss and report on the state of the art in biological control research in areas such as biocontrol agents and application of ecological principles. These practices can help to establish sustainable plant protection systems, with the greatest impact achieved when they are used in appropriate combinations. We highlight the conditions that currently prevent or hinder the increased use of biocontrol measures. On the background of agroecological experiences, we discuss why additional advancements in plant protection practices are imperative to more effectively break the life cycles of pests, diseases and weeds. We emphasize the significance of a judicious application of chemical control technologies, adapted to local conditions. Additionally, we highlight the key role and expertise of operators in implementing these practices and their knowledge thereof.

When Your School is in a ‘Rough’ Neighborhood: What Can Shield Youth from Crime and Delinquency?

Latest Results

Abstract

Youth spend much of their time socializing and hanging out with friends, as well as engaging in extracurricular activities, in areas surrounding their schools. Additionally, many studies document a criminogenic effect of schools on the surrounding neighborhood. Yet little is known about how the structural characteristics of those areas shape adolescent involvement in criminal and delinquent behavior. Using recent data drawn from surveys of adolescents in three major U.S. cities, the American Community Survey, and the US Census, we analyze (1) the effects of school neighborhood contexts on adolescent crime and (2) the extent to which individual propensity (i.e., moral beliefs and self-control) moderates the effects of the school neighborhood context. We find that concentrated disadvantage and ethnic heterogeneity of the school area impact delinquent behavior only among youth with certain moral beliefs. Our findings highlight the need to identify the conditions under which social context matters and to focus on different types of neighborhoods beyond residential areas.

Developing and Testing an Evaluation Framework for Collaborative Mental Health Services in Primary Care Systems in Latin America

Latest Results

Abstract

To develop and pilot-test a feasible and meaningful evaluation framework to support the ongoing improvement and performance measurement of services and systems in Latin America regarding Collaborative Mental health Care (CMHC). This mixed methods study, guided by a developmental evaluation approach, included: (1) a critical review of the literature; (2) an environmental scan at three selected health networks in Mexico, Nicaragua and Chile; (3) a Delphi group with experts; (4) a final consultation in the three sites; and (5) a pilot-test of the framework. A comprehensive evaluation framework was developed and successfully piloted. It considers five levels, 28 dimensions and 40 domains, as well as examples of indicators and an implementation plan. This evaluation framework represents an important effort to foster accountability and quality regarding CMHC in Latin America. Recommendations to build upon current capacity and to effectively address the existing implementation challenges are further discussed.

State-Federal Vocational Rehabilitation Services, Demographic Characteristics and Employment Outcomes for Native Americans with Mental Illnesses

Latest Results

Abstract

There were 9.7 million Native Americans (American Indian, Alaska Native-AI/AN- these acronyms will be used interchangeably with Native Americans throughout the paper) in 2019 comprising 2.9% of the U.S. population. Native American populations have disproportionately higher rates of mental illnesses compared to other racial groups in the U.S. Mental health is a significant public health concern for this population, impacting different areas of their lives including employment. Additionally, Native Americans continue to experience significant disparities in access to Vocational Rehabilitation (VR) services and have poor employment outcomes. However, little is known about the relationships among demographic factors, vocational rehabilitation services, and employment outcomes of Native Americans with mental illness. Consequently, the current study examined how demographic factors and VR services are related to successful employment outcomes for Native American VR clients with mental illnesses using data from the Rehabilitation Services Administration (RSA) program year (2019) Case Service Report (9–11). Both descriptive analysis and data mining approaches were used to answer the research questions. Chi-square Automatic Interaction Detector (CHAID) analysis was used to determine which of the VR services could best predict the successful employment outcome of Native Americans with mental illness. The findings of the data mining approach revealed that among all the vocational rehabilitation services, job placement assistance was the strongest predictor of successful employment among Native American clients with mental illnesses. The second most important service predicting successful employment for those who received job placement assistance was shown to be maintenance. Implications for rehabilitation counselors and future research are discussed.

Intersectional Effect of Gender, Race, and Socioeconomic Status in Mental Health Service Utilization: Evidence from the Canadian Community Health Survey 2015–2016

Latest Results

Abstract

This study examined the intersectional effects of gender, race, and socioeconomic status (SES) on mental health service utilization (MHSU) employing the intersectionality framework. Data was extracted from Canadian Community Health Survey 2015–2016 with a total of 85,619 sample. Covariate adjusted prevalence ratio (aPR) and the predicted probability of MHSU from intersectional analyses were estimated using Poisson regression with robust variance. The prevalence of MHSU was 15.04% overall, 19.61% among women, 10.27% among men, 21.56% among white women and 11.12% among white men. The study observed overall significant intersectional effect of SES by gender and race on MHSU. For instance, white men with the lowest income were more likely to have MHSU compared to their counterparts. Similarly, the predicted probability of MHSU decreased with the increase of SES that varied by gender and race. Two-way and three-way interactions also confirmed statistical significance (p-interaction < 0.05) of intersectional effect of gender, race, and SES. The observed socioeconomic differences in MHSU across gender and racial groups can be explained by intersectionality.

An (Un)Holy Trinity: Differences in Climate Change-Induced Distress Between Believers and Non-believers in God Disappear After Controlling for Left–Right Political Orientation

Latest Results

Abstract

We examined differences in reactions to climate change as a function of belief in God. We studied four samples, convenience samples of university students in the USA (n = 627) and in Poland (n = 628), a nationally representative sample of adults in Poland (n = 1154), and a nationally representative sample of adults in the USA (n = 1098). In each study we measured the distress people felt about climate change, belief in God, and left–right political orientation. These constructs were measured slightly differently across the studies. Regardless of how these constructs were measured, believers were less distressed by climate change than non-believers, and with only a few exceptions, these differences disappeared after covarying political orientation (left–right or liberal-conservative). Contrary to those who argue that there is something inherent in religious belief that predisposes people to deny or ignore climate change, the present results suggest that it is the (growing) confluence of faith and conservative political orientation that is responsible for the fact that some people of faith tend to deny climate change or actively oppose efforts to combat it.

A transboundary agenda for nature-based solutions across sectors, scales and disciplines: Insights from carbon projects in Southeast Asia

Latest Results

Abstract

Nature-based Solutions (NbS) are integral to efforts to keep global warming below 2°C in accordance with the United Nations’ 2015 Paris Agreement on Climate Change. Yet the transboundary governance dimensions of NbS remain unclear and largely undocumented. In Southeast Asia, NbS have emphasised the conservation and/ or sustainable commodification of carbon sinks found in terrestrial and mangrove forests, seagrass meadows, peatlands and agricultural soils. Mostly project-driven and fixed-term, these “solutions” have often failed to meet their social and ecological objectives. Increasingly, they have added to cross-border problems of: (1) displaced carbon emissions; and (2) economic migration and societal dispossession. This perspective paper delineates a transboundary governance research agenda to mitigate these trade-offs and enhance the co-benefits of NbS in carbon sinks. Building on NbS literature, it identifies cross-sector, multi-scalar and interdisciplinary pathways to improve transboundary cooperation, inclusion and equity in carbon sink governance in varying Southeast Asian contexts.

In temperate Europe, fire is already here: The case of The Netherlands

Latest Results

Abstract

Landscape fires are usually not associated with temperate Europe, yet not all temperate countries record statistics indicating that actual risks remain unknown. Here we introduce new wildfire statistics for The Netherlands, and summarize significant events and fatalities. The period 2017–2022 saw 611 wildfires and 405 ha burned per year, which Copernicus’ European Forest Fire Information System satellite data vastly underestimate. Fires burned more heathland than forest, were small (mean fire size 1.5 ha), were caused by people, and often burned simultaneously, in Spring and in Summer drought. Suppression, restoration and traffic delays cost 3 M€ year−1. Dozens of significant events illustrate fire has never been away and has major societal impact amidst grave concerns for firefighter safety. Since 1833, 31 fatalities were reported. A legal framework is needed to ensure continuity of recordkeeping, as the core foundation of integrated fire management, to create a baseline for climate change, and to fulfill international reporting requirements.

Impact of Initial Soil Conditions on Soil Hydrothermal and Surface Energy Fluxes in the Permafrost Region of the Tibetan Plateau

Latest Results

Abstract

Accurate initial soil conditions play a crucial role in simulating soil hydrothermal and surface energy fluxes in land surface process modeling. This study emphasized the influence of the initial soil temperature (ST) and soil moisture (SM) conditions on a land surface energy and water simulation in the permafrost region in the Tibetan Plateau (TP) using the Community Land Model version 5.0 (CLM5.0). The results indicate that the default initial schemes for ST and SM in CLM5.0 were simplistic, and inaccurately represented the soil characteristics of permafrost in the TP which led to underestimating ST during the freezing period while overestimating ST and underestimating SLW during the thawing period at the XDT site. Applying the long-term spin-up method to obtain initial soil conditions has only led to limited improvement in simulating soil hydrothermal and surface energy fluxes. The modified initial soil schemes proposed in this study comprehensively incorporate the characteristics of permafrost, which coexists with soil liquid water (SLW), and soil ice (SI) when the ST is below freezing temperature, effectively enhancing the accuracy of the simulated soil hydrothermal and surface energy fluxes. Consequently, the modified initial soil schemes greatly improved upon the results achieved through the long-term spin-up method. Three modified initial soil schemes experiments resulted in a 64%, 88%, and 77% reduction in the average mean bias error (MBE) of ST, and a 13%, 21%, and 19% reduction in the average root-mean-square error (RMSE) of SLW compared to the default simulation results. Also, the average MBE of net radiation was reduced by 7%, 22%, and 21%.