Search

Asthma can impact children’s quality of life. It is unclear how asthma is associated with the developmental health (i.e. a broad range of skills and abilities associated with growth and development) of young children at school entry. The goals of this cross-sectional, population-level study were to: (1) investigate the association between teacher-reported asthma and children’s concurrent indicators of developmental health (developmental vulnerability); and (2) explore whether school absences and functional impairments modified this association.Participants were a Canadian population-based sample of 564 582 kindergarten children (Mage = 5.71 years, SD = 0.32, 51.3 % male) with data on the Early Development Instrument (EDI) collected between 2010 and 2015. Adjusted binary logistic regressions were conducted to address the objectives. From the sample, 958 (0.2 %) children were identified as having a diagnosis of asthma. These children were absent on average 9.4 days and 53.5 % had functional impairments (vs. 6.7 days absent and 15.9 % with functional impairments in children without asthma). After controlling for demographic characteristics, children with asthma had between 1.51 and 2.42 higher odds of being developmentally vulnerable. Only the presence of functional impairments modified this relationship and only for physical health and well-being. In this large, population-based sample of Canadian kindergarten children, few teachers reported knowledge of their students’ asthma diagnosis. Among teacher-reported cases, asthma was a risk factor for developmental vulnerability in the domain of physical health and well-being only. Functional impairments may therefore be more detrimental for child development at school entry than asthma alone.

In this paper, a mathematical model is developed to explain changes in the ratios of married persons, adulterers, and divorcees. A formula for predicting the percentage of couples in the country using the inversion transformation was formulated using the equations expressing the proportions of adulterers and divorcees. The qualitative study revealed two threshold conditions: the basic reproductive numbers for a divorcee (RoY) and an adulterer (RoZ) in a married context. Based on these threshold conditions, it was found that, on average, a divorcee persuades a spouse to dissolve their marriage every year. However, we found that a significant fraction of couples were either divorcing or committing adultery, as shown by the instability of the divorce-adultery equilibrium point. Every month, a couple will occasionally spend 5 or 6 days apart sleeping outside of their union. The results of the sensitivity analysis revealed that the main cause of the country’s growing divorce problem is the rate at which spouses end their relationships while being influenced by others. On the other hand, the prevalence of adultery in the nation is largely influenced by the rate at which an adulterer divorces their spouse.

White bass (Morone chrysops) is a popular sportfish throughout the southern United States, and one parent of the commercially successful hybrid striped bass (M. chrysops ♂ x M. saxatilis ♀; HSB). Commercial production of white bass does not currently exist in the U.S. due to a lack of information regarding nutritional requirements and cost-effective diets as well as high production costs. Currently, white bass are cultured using diets formulated for other carnivorous fish that contain a significant percentage of marine fish meal (FM). We evaluated growth, survival, and body composition of white bass fed diets in which FM was replaced by various protein ingredients including soybean meal (SBM), poultry by-product meal (PBM), a combination of SBM, canola meal, and soy protein concentrate, or a commercial protein blend (Pro-Cision™). Six isonitrogenous (40% protein), isolipidic (11%), and isocaloric (17.1 kJ/g) diets were formulated using nutrient availability data for most of the dietary ingredients. Fish (40.2 ± 1.83 g) were stocked into a flow-through (2 L/min) culture system (3 tanks/diet; 10 fish/tank) and fed the test diets twice daily (7 d/wk) to satiation for 60-d. Test diets that replaced FM with various percentages of SBM and PBM resulted in similar performance as fish fed the control diet containing 30% FM. Fish fed the all-plant diet or the diet in which the commercial blend replaced FM resulted in reduced growth performance. Diet performance rankings based on response measures along with differences in essential amino acids and feed intake provided some insight into differences in diet performance. White bass can be fed fish meal-free diets without significantly reducing growth; however, replacement of FM exclusively with plant protein or commercial protein blends may need further study to ensure sufficient intake and performance. Limiting amino acid balance will also need to be addressed in future FM replacement trials with white bass.

This paper presents the first comparative study of emerging stock markets’ response to the COVID-19 pandemic with evidence from Ghana and Botswana. Using daily time-series data from March 1, 2020, to September 30, 2021, the study estimates parametric, semi-parametric and non-parametric models, and provides evidence to support the negative effects of the COVID-19 pandemic (i.e., the total number of reported COVID-19 cases and deaths) on the stock market performances of Ghana and Botswana. Interestingly, the study shows that the impact of the pandemic on Ghana's stock market is quantitatively greater than the stock market of Botswana. The study calls for fiscal and monetary policies to help firms on the stock market to survive the shock. Going forward, measures aimed at building a robust stock market to withstand such external shocks are critical.

The contribution of forest degradation to changes in forest carbon stocks remains poorly quantified and constitutes a main source of uncertainty in the forest carbon budget. Charcoal production is a major source of forest degradation in sub-Saharan Africa. We used multitemporal Sentinel-2 imagery to monitor and quantify forest degradation extent in the main supplying area of a major urban center of southern Africa over a 4-year period. We implemented an indirect approach combining Sentinel-2 imagery to map kiln and field measurements to estimate AGB removals and carbon losses from charcoal production. This work generated 10 m resolution maps of forest degradation extent from charcoal production in the study area at quarterly intervals from 2016–2019. These maps reveal an intense and rapid forest degradation process and expose the spatial and temporal patterns of forest degradation from charcoal production with high detail. The total area under charcoal production over the study period reached 26,647 ha (SD = 320.8) and the forest degradation front advanced 10.5 km in a 4-year period, with an average of 19.4 ha of woodlands degraded daily. By the end of 2019, charcoal production disturbed most mopane stands in the study area and woodland fragmentation increased in 70.4 % of the mopane woodlands. We estimated that charcoal production was responsible for 2,568,761 Mg (SD = 42,130) of aboveground biomass extracted from the forest and 1,284,381 Mg (SD = 21,075) of carbon loss. The magnitude of these figures underlines the relevance of charcoal production as a main cause of forest cover change and remarks the existing uncertainties in the quantification of forest degradation processes. These results illustrate the potential of multitemporal medium resolution imagery to quantify forest degradation in sub-Saharan Africa and improve REDD + Monitoring, Reporting, and Verification systems in compliance with international reporting commitments.

The timing of spring initiates an important period for resource availability for large trophic webs within ecosystems, including forage for grazing animals, flowers for pollinators, and the higher trophic levels that depend on these resources. Spring timing is highly variable across space, being influenced strongly by the departure of snow cover (i.e. snowmelt timing, in locations with a seasonal snowpack), climate, weather, elevation, and latitude. When spring timing occurs along a gradient (e.g. spring arriving later in higher elevations of mountainous terrain), the organisms that rely on spring resources often migrate to maintain an optimal position for spring resources – a phenomenon known as ‘surfing the green wave.’ While this behavior has been observed by tracking animals, there have been no studies to quantify the green wave as a movement across space and time. Furthermore, considering that snowmelt timing has moderate power to explain green-up timing for a given location, we ask the question: does snowmelt velocity predict green wave velocity? Here, we introduce the first continental maps of snowmelt and green wave velocity for North America from 2001 to 2016 as derived from the MODIS MCD12Q2 phenology dataset. We show that both snowmelt and green wave velocities are influenced strongly by topography, including slope and aspect. Furthermore, we quantify the relationships between snowmelt and green wave velocities according to three variables: direction, speed, and distance traveled. We conclude that mountainous ecoregions, such as the western North American cordillera, have the highest correspondence between snowmelt and green wave velocities, compared to flatter regions such as the Great Plains and tundra. This work will be of interest to wildlife ecologists, biologists, and land managers who seek to conserve migratory animals and the ecosystems that support them.

Obtaining accurate and widespread measurements of the vertical structure of the Earth’s forests has been a long-sought goal for the ecological community. Such observations are critical for accurately assessing the existing biomass of forests, and how changes in this biomass caused by human activities or variations in climate may impact atmospheric CO2 concentrations. Additionally, the three-dimensional structure of forests is a key component of habitat quality and biodiversity at local to regional scales. The Global Ecosystem Dynamics Investigation (GEDI) was launched to the International Space Station in late 2018 to provide high-quality measurements of forest vertical structure in temperate and tropical forests between 51.6° N & S latitude. The GEDI instrument is a geodetic-class laser altimeter/waveform lidar comprised of 3 lasers that produce 8 transects of structural information. Over its two-year nominal lifetime GEDI is anticipated to provide over 10 billion waveforms at a footprint resolution of 25 ​m. These data will be used to derive a variety of footprint and gridded products, including canopy height, canopy foliar profiles, Leaf Area Index (LAI), sub-canopy topography and biomass. Additionally, data from GEDI are used to demonstrate the efficacy of its measurements for prognostic ecosystem modeling, habit and biodiversity studies, and for fusion using radar and other remote sensing instruments. GEDI science and technology are unique: no other space-based mission has been created that is specifically optimized for retrieving vegetation vertical structure. As such, GEDI promises to advance our understanding of the importance of canopy vertical variations within an ecological paradigm based on structure, composition and function.

Scenario-based modelling is a powerful tool to describe relationships between plausible trajectories of drivers, possible policy interventions, and impacts on biodiversity and ecosystem services. Model inter-comparisons are key in quantifying uncertainties and identifying avenues for model improvement but have been missing among the global biodiversity and ecosystem services modelling communities. The biodiversity and ecosystem services scenario-based inter-model comparison (BES-SIM) aims to fill this gap. We used global land-use and climate projections to simulate possible future impacts on terrestrial biodiversity and ecosystem services using a variety of models and a range of harmonized metrics.The goal of this paper is to reflect on the steps taken in BES-SIM, identify remaining methodological challenges, and suggest pathways for improvement. We identified five major groups of challenges; the need to: 1) better account for the role of nature in future human development storylines; 2) improve the representation of drivers in the scenarios by increasing the resolution (temporal, spatial and thematic) of land-use as key driver of biodiversity change and including additional relevant drivers; 3) explicitly integrate species- and trait-level biodiversity in ecosystem services models; 4) expand the coverage of the multiple dimensions of biodiversity and ecosystem services; and finally, 5) incorporate time-series or one-off historical data in the calibration and validation of biodiversity and ecosystem services models.Addressing these challenges would allow the development of more integrated global projections of biodiversity and ecosystem services, thereby improving their policy relevance in supporting the interlinked international conservation and sustainable development agendas.

Summary: Obesity and type 2 diabetes (T2D) remain major global healthcare challenges, and developing therapeutics necessitates using nonhuman primate models. Here, we present a transcriptomic and proteomic atlas of all the major organs of cynomolgus monkeys with spontaneous obesity or T2D in comparison to healthy controls. Molecular changes occur predominantly in the adipose tissues of individuals with obesity, while extensive expression perturbations among T2D individuals are observed in many tissues such as the liver and kidney. Immune-response-related pathways are upregulated in obesity and T2D, whereas metabolism and mitochondrial pathways are downregulated. Moreover, we highlight some potential therapeutic targets, including SLC2A1 and PCSK1 in obesity as well as SLC30A8 and SLC2A2 in T2D. Our study provides a resource for exploring the complex molecular mechanism of obesity and T2D and developing therapies for these diseases, with limitations including lack of hypothalamus, isolated islets of Langerhans, longitudinal data, and body fat percentage.