Main Determinants Research Articles

Energy Expenditure in Humans: Principles, Methods, and Changes Throughout the Life Course.

Humans require energy to sustain their daily activities throughout their lives. This narrative review aims to (a) summarize principles and methods for studying human energy expenditure, (b) discuss the main determinants of energy expenditure, and (c) discuss the changes in energy expenditure throughout the human life course. Total daily energy expenditure is mainly composed of resting energy expenditure, physical activity energy expenditure, and the thermic effect of food. Total daily energy expenditure and its components are estimated using variations of the indirect calorimetry method. The relative contributions of organs and tissues determine the energy expenditure under different physiological conditions. Evidence shows that energy expenditure varies along the human life course, at least in part due to changes in body composition, the mass and specific metabolic rate of organs and tissues, and levels of physical activity. This information is crucial to estimate human energy requirements for maintaining health throughout the life course.

Treatment of Behçet Uveitis in Türkiye.

Behçet uveitis (BU) is a potentially blinding disorder. The main determinant of visual prognosis is early and appropriate treatment that provides rapid suppression of inflammatory attacks, control of subclinical inflammation, and prevention of new attacks. Our study aimed to determine the Turkish uveitis specialists' approach regarding the treatment choices and management of special situations such as pregnancy, vaccination, and surgical planning in BU patients, and to increase information sharing and raise awareness of issues where knowledge is lacking. A web-based survey including 16 questions about the treatment approach in ocular involvement of Behçet's disease was sent via e-mail to uveitis specialists in Türkiye. Based on the answers of 49 ophthalmologists who responded to the survey, we evaluated the approaches of uveitis specialists in our country to initiating treatment, selecting therapeutic agents, monitoring, switching and stopping treatment, and special situations such as surgical planning, vaccination, and pregnancy in BU patients. Uveitis specialists in our country mostly act in accordance with the guidelines in the decision to start treatment, selection of therapeutic agents, and monitoring the safety of treatment in BU. However, there is a lack of information about the therapeutic approach in pregnancy and vaccination practices. It was also observed that there is no consensus on the precautions to be taken before cataract surgery. Our study has shown that there is a need for more detailed and widespread information sharing on treatment in preparation for ocular surgery, safety monitoring, drug use during pregnancy, and vaccination in BU patients.

Molecular Evaluation of Aminoglycoside Resistance and Biofilm Formation Potential in Escherichia coli Isolates Collected from Hospitalized Patients

Background: Resistance to antibiotics and the ability to develop biofilms, two main virulence determinants of Escherichia coli, play a crucial role in the persistence of infections. Objectives: The aim of this study was to evaluate aminoglycoside resistance and biofilm formation potential in E. coli isolates collected from hospitalized patients in the Southwest of Iran. Methods: A total of 70 E. coli clinical isolates from different specimens were collected from Ahvaz teaching hospitals affiliated with Ahvaz Jundishapur University of Medical Sciences. All the isolates were identified as E. coli using conventional microbiological tests. Susceptibility to antibiotics was determined using the Kirby–Bauer disk diffusion method. Biofilm formation was assessed using the microtiter plate method. Finally, PCR was conducted to detect virulence gene determinants, including fimbrial genes, aminoglycoside modifying enzymes (AMEs), and 16S rRNA methylase (RMTase) genes. Results: Among aminoglycoside antibiotics, E. coli isolates showed the highest and lowest resistance rates to tobramycin (TOB; 51.4%) and gentamicin (GEN; 24.2%), respectively. Simultaneous resistance to GEN, amikacin, and TOB was observed in 28.5% of the isolates, representing the most common antibiotic resistance pattern. The prevalence of strong biofilm producers was higher in the extensively drug-resistant (XDR) phenotype group compared to the multiple drug-resistant (MDR) group (76.1% vs. 23.8%). Among the 36 isolates resistant to at least one of the aminoglycoside antibiotics, 36.1% had AME-related genes, either alone or in various combinations. Most isolates harboring AME genes were also positive for the presence of biofilm-related genes, including ecpA and fimA. Conclusions: The most frequent AME-related genes were ant(2”)-Ia and aph(3’)-Ia, followed by aac(3’)-IIa. The findings of the present study provide probable evidence that GEN is an effective aminoglycoside against biofilm-producing and antibiotic-resistant E. coli isolates.

Influence of estrogen on right ventricular mitochondrial function in pulmonary hypertension

There is a female predominance in pulmonary arterial hypertension (PAH) with a ~4:1 female-to-male ratio. However, female PAH patients exhibit better right ventricular (RV) function and thus better survival than the males. The majority of the current PAH therapies target pulmonary vascular remodeling and/or vasoconstriction in the pulmonary vasculature. However, no therapies directly target the RV, partially because the underlying mechanisms of RV failure in PAH are not fully understood. Since the RV serves as the main determinant of mortality, clarifying the mechanism of RV failure and the associated sex differences in PAH may promote the development of novel therapeutic strategies. Numerous molecular abnormalities have been detected in RV in PAH, particularly due to the suppression of mitochondrial function, including the inhibition of glucose oxidation and a shift to uncoupled aerobic glycolysis (Warburg metabolism) and excessive mitochondrial fission. The mitochondrial suppression is associated with hypocontractility and increased apoptosis in RV cardiomyocytes, and the hyperproliferative, pro-fibrotic, and apoptosis-resistant phenotypes in RV fibroblasts in PAH. Mitochondria also serve as the site for sex steroid synthesis, and in turn, the sex steroids, particularly estradiol (E2), influence the mitochondria both indirectly and directly. It is not well understood how E2 affects mitochondrial function in RV in PAH. Hence, this review focuses on the key mitochondrial genes and proteins that are influenced by PAH, E2, and sex.

The circular bioeconomy of the olive oil industry: Deterministic and probabilistic profitability of olive mill by-product gasification

In the novel paradigm of the circular economy the value of products, materials, and resources is retained in the economy for as long as possible, thereby minimizing waste generation. In this context, the olive oil producing countries are presented with a new opportunity that lies in the large amount of by-products generated by the olive oil industry, in particular olive pomace. Among the existing options for valorizing it, gasification is a technically proven and economically viable process, especially for moderately high energy prices. This research aims to analyze the profitability of olive pomace gasification, identifying the main uncertainty factors that determine said profitability. To that end, sensitivity analyses and probabilistic scenario analyses using the Monte Carlo method are conducted for the first time in this research context. The results show a positive profit margin of €19.27 per ton of milled olives, a Net Present Value (NPV) of €453,067, and an Internal Rate of Return (IRR) of 9.7 %. The sensitivity analysis indicates that the electricity price is the main determinant of profitability, while other factors, such as the biomass price or the sale of by-products (biochar), are less important. The Monte Carlo analysis reveals the uncertainty involved in these types of projects, showing that the probability of the investment being profitable (NPV>0) is only 25.1 %. The assessment evidences that this kind of projects presents high capital needs and strongly uncertain profitability, recommending the implementation of public and private green finance instruments to overcome high-capital barriers and de-risk these investments.

Are small and medium-sized enterprises the strength of the Polish economy?

The research conducted under the micro-project Intellectual Capital and Technological Development of Small and Medium-Sized Enterprises in Poland focused on the impact of intellectual capital on the technological development of SME. The purpose of this research was to determine the influence of intellectual capital on the technological advancement of these enterprises. Due to the broad approach to economic development and the significant role of SMEs in the economy, a series of three articles was chosen as the publication format. This publication serves as an introduction, addressing the essence and importance of the SME sector. The article aims to confirm the impact of the SME sector on the economic development of the country, which is considered significant based on statistical data. The data reveal a favourable statistical picture of SMEs, showing an increase in the number of business entities and their positive impact on the labour market and GDP growth. The findings underscore the need for continued efforts to eliminate ineffective management practices withing the various components of intellectual capital. The subject matter of the research cycle continues in the next two papers. The second article, entitled “The Role of Intangible Resources in Shaping the Value of Knowledge-Based Enterprises” emphasises the need and necessity of implementing in small and medium-sized entities. The third article, considers it important to identify, measure, and value these assets. Detailing the methods of doing so, it summarises the research results and points to intangible assets as the main determinants of company management in a knowledge-based economy. It demonstrates the significant impact that small and medium-sized businesses could have on the development of the national economy if the management of intellectual capital in these enterprises adhered to the principles of conscious and rational use of knowledge assets. As a result of the increasing importance of a company’s intellectual capital – including its human resources, structural, and relational values – small and medium-sized enterprises must change their previous intuitive, approach to their management to a conscious and strategic approach. This transition will enable them to remain competitive in the market in an era of widespread technological and other changes affecting the product and labour market. In view of the volatile environment and the development of a knowledge-based economy, the ability to manage intangible assets becomes particularly important for the development of enterprises, both large and those in the SME sector. Effective management of intellectual capital should be considered a key competence in this area. Although the tools for managing this invisible potential are discussed in the literature and practically applied in large companies, they are only beginning to be adopted by small and medium-sized enterprises. Given the significant contribution of these entities to national income generation and job creation, it is necessary to adapt and implement the concept of intangible asset management to suit the operating conditions of small business.

Geographical distribution of the COVID‐19 pandemic and key determinants: Evolution across waves in Spain

AbstractAmidst the COVID‐19 pandemic, most research has examined specific temporal snapshots. This study diverges by offering a comprehensive analysis of COVID‐19 incidence across the Spanish provinces throughout six distinct waves of the pandemic. Using spatial exploratory techniques, we find no single pandemic; rather, there have been waves. Significant differences in the spatial distribution of cases and deaths across six waves show that each has unique characteristics. Homogeneous conclusions cannot be drawn at the national level. Notable regional differences in the pandemic’s spatial distribution suggest a need for subnational responses, reflecting variations in climate, economic dynamism, sectoral specialisation, and socio‐health resources. Spatial regression models show that the main determinants of COVID‐19 incidence depend on stage. Traditional factors commonly associated with epidemiological studies, such as temperature, exerted significant influence during the pandemic’s onset. However, as mobility restrictions were enforced and vaccination campaigns were rolled out, economic conditions, and especially levels of economic activity, emerged as increasingly significant determinants.

High-level ceftriaxone resistance due to transfer of penA allele 60.001 into endemic gonococcal lineages in Hangzhou, China.

Neisseria gonorrhoeae strains associated with the high-level ceftriaxone-resistant FC428 clone or containing its main resistance determinant, penA allele 60.001, have shown global transmission. In Hangzhou, China, 10% of the isolates were associated with the FC428 clone in 2019. Here, we investigated ceftriaxone resistance and the prevalence of FC428-associated strains in Hangzhou in 2020-22. A total of 209 gonococcal isolates were investigated for antimicrobial susceptibility to ceftriaxone and other antibiotics by agar dilution method. Sequence types and penA alleles were determined by PCR and sequence analysis. Resistance to ceftriaxone (MIC > 0.125 mg/L) was observed for 16% (33/209) of the isolates, whereas 6.7% (14/209) of the isolates displayed high-level ceftriaxone resistance (MIC = 1 mg/L). These 14 high-level ceftriaxone-resistant isolates and another isolate displaying an MIC = 0.25 mg/L contained penA allele 60.001, with eight of these isolates, all from 2020 to 2021 belonging to MLST ST1903, the sequence type commonly associated with the original FC428 clone. Importantly, the six penA allele 60.001-containing isolates from 2022 belonged to MLST ST8123, ST7365 and ST7367, which are among the most frequently encountered sequence types found in China. Therefore, these results indicate that endemic lineages in China have acquired penA allele 60.001. Here, we report continued transmission of gonococcal strains associated with the FC428 clone or containing penA allele 60.001 in Hangzhou. A major concern for public health is the acquisition of penA allele 60.001 by successful endemic lineages, which might enhance the transmission of this high-level ceftriaxone resistance trait.

Breast Milk Microbiota: A Systematic Review on the Influence of Maternal Characteristics on Its Composition

Objective:The objective of this study was to identify current evidence on the impact of maternal characteristics (nutritional status, diet, geographic location/cultural influences, and stress) on breast milk microbiota (BMM) composition and diversity.Methods:A systematic review was conducted by searching articles in five different databases. Quality and risk of bias were assessed for each article using RevMan software.Results:Fifteen articles were selected. Maternal obesity had only a transient effect on microbiota diversity. Dietary fatty acids and folates were the main dietary factors influencing BMM. Maternal geographic location strongly influences BMM composition and ultimately its diversity. Available data on maternal stress were insufficient to draw conclusions regarding the impact of this factor.Conclusions:Geographic location of the mother and dietary factors are the main determinants of BMM composition. Further studies are needed to assess the impact of BMM on infant health.

Renewable Energy Transition and the Paris Agreement: How Governance Quality Makes a Difference?

This paper investigates whether the Paris Agreement affects renewable energy deployment and how institutional quality moderates this relationship. According to a generalized method of moments estimation for panel data for both developed and developing countries over the period 2000–2022, the Paris Agreement positively influences renewable energy deployment, suggesting that countries are promoting renewable energy to align with institutional expectations to maintain their reputations. The results further show that governance quality is the main determinant of renewable energy deployment. However, the moderating role of governance underscores the less-pronounced impact of the Paris Agreement on countries with high governance indicators, suggesting that these countries may have shifted their focus toward other avenues of climate management beyond the deployment of renewable energy. Furthermore, there is strong evidence of the relationship between forest area, CO2 emission, trade openness, domestic credit, and renewable energy deployment. The results are robust with the use of a dynamic panel threshold model.

Efficiency evaluation, regional technological heterogeneity and determinant of total factor productivity change in China’s healthcare system

Enhancing efficiency and productivity in countries’ healthcare systems is a global challenge. The Chinese government invested huge resources to improve the efficiency and productivity of the healthcare system across the country. To assess the success of the mission above, this research utilized DEA-SBM Meta frontier analysis alongside the Malmquist Productivity Index. These methodologies were employed to gauge Efficiency, production technology heterogeneity, and productivity of healthcare systems change across 31 mainland Chinese provinces and four distinct geographical regions throughout the study period spanning from 1997 to 2022. Results revealed that the mean efficiency score of China’s healthcare system is 0.7672. It indicates a growth potential of 23.28 percent in the operational efficiency of healthcare systems. The eastern region’s efficiency level (0.86917) is higher among all four regions. Zhejiang, Shandong, and Guangdong are the top three healthcare-efficiency performers. The technology gap ratio indicates that eastern regions witnessed a high TGR (0.9909), showing the country’s attainment of superior healthcare technologies. Beijing, Guangdong, Shanghai, Tianjin, and Zhejiang witnessed higher TGR values among all 31 mainland Chinese provinces. The total factor productivity index of the healthcare system witnessed a slight growth of 0.33%, with an average MI score of 1.0033. Efficiency change (EC) was found to be the main determinant of TFPC as technology change TC is less than EC. Moreover, the MI score of the Western region (1.033) is higher than the corresponding Eastern, northeastern, and central regions. Guizhou, Anhui, and Yunnan were found to be the top three performers in TFPC growth. Finally, the Kruskal–Wallis test confirmed the statistically significant difference among 4 Chinese regions for the healthcare system’s efficiency, TFPC, and TGR.

Fertility in High-Income Countries: Trends, Patterns, Determinants, and Consequences

High-income countries have generally experienced falling fertility in recent decades. In most of these countries, the total fertility rate is now below the level that implies a stable population in the long run. This has led to concerns among economists, policymakers, and the wider public about the economic consequences of low fertility and population decline. In this contribution, we aim to (a) describe the main determinants of low fertility in high-income countries, (b) assess its potential economic consequences, (c) discuss adjustment mechanisms for individuals and economies, (d) propose a simple economic framework to analyze the long-run economic impacts of low fertility, and (e) draw lessons for economic policymakers to react appropriately. While the economic challenges of low fertility are substantial, a thoughtful and consistent policy response can mitigate most of the adverse consequences.

University Dropout: A Systematic Review of the Main Determinant Factors

Introduction This research is a systematic review aimed at synthesizing scientific evidence on the causes of university dropout, focusing on the subcategories of vocational guidance, academic performance, socioeconomic status, and institutional aspects between 2020 and June 2024. Methods Only articles addressing university dropout were considered, analyzing dimensions such as vocational guidance, academic performance, socioeconomic status, and institutional aspects. Articles published in indexed scientific journals with double-blind, double-blind peer, or open reviews between 2020 and June 2024 were included. The main databases used were Scopus, Web of Science, and Google Scholar. To assess the risk of bias in qualitative studies, the criteria from the article “Validity criteria for qualitative research: three epistemological strands for the same purpose” were used. For quantitative studies, the criteria from the article “Evaluating survey research in articles published in Library Science journals” were followed. For mixed-method studies, both sets of criteria were combined. Results A total of 23 studies were included: 15 quantitative (65.22%), 3 qualitative (13.04%), and 5 mixed-method (21.74%). All studies (100%) addressed the subcategories of socioeconomic status and institutional aspects. Regarding the academic performance subcategory, 86% of the studies addressed it, while the vocational guidance subcategory was covered by 73.91% of the studies. Conclusions Vocational guidance, academic performance, socioeconomic status, and institutional aspects are crucial for reducing university dropout. Providing adequate professional guidance, academic support, financial assistance, and strong institutional support is fundamental to improving student retention and academic success.

Tissue determinants of the human T cell receptor repertoire.

98% of T cells reside in tissues, yet nearly all human T cell analyses are performed from peripheral blood. We single-cell sequenced 5.7 million T cells from ten donors' autologous blood and tonsils and sought to answer key questions about T cell receptor biology previously unanswerable by smaller-scale experiments. We identified distinct clonal expansions and distributions in blood compared to tonsils, with surprisingly low (1-7%) clonal sharing. These few shared clones exhibited divergent phenotypes across bodily sites. Analysis of antigen-specific CD8 T cells revealed location as a main determinant of frequency, phenotype, and immunodominance. Finally, diversity estimates from the tissue recalibrates current repertoire diversity estimates, and we provide a refined estimate of whole-body repertoire. Given the tissue-restricted nature of T cell phenotypes, functions, differentiation, and clonality revealed by this dataset, we conclude that tissue analyses are crucial for accurate repertoire analysis and monitoring changes after perturbing therapies.

Should the pricing or advertising decision come first in a supply chain with a network externality?

Purpose This paper aims to study how the timing of these decisions affects the total profit and the individual profits of the two agents. Design/methodology/approach This paper study a supply chain for a network good where there is a manufacturer and a retailer. The manufacturer determines its wholesale price and its share in the retailer’s advertising cost while the retailer decides the retail price and the advertising cost. Findings This paper finds that a stronger network externality leads to higher prices and higher advertising efforts. This increases the profits of both manufacturer and retailer, but the manufacturer’s share of advertising costs depends on the order in which the supply chain enterprise make their decisions, the strength of network externality and the effect of advertising determines which decision timeline results in a higher price and greater advertising effort. The manufacturer prefers the price decision to be made before the advertising decision, while the retailer prefers these decisions to be made simultaneously. Research limitations/implications Although this paper studies the price and advertising decision-making order preferences of channel members based on network externalities, this research can also be expanded from the following aspects based on network effects. First, network externality affects advertising cooperation between both parties in the situation such that the pricing power of retail prices is transferred from the retailer to the manufacturer and the retailer relies on revenue sharing (revenue sharing contract, nonwholesale price contract. Second, the manufacturer dominates the issues in the supply chain, but in reality, a retailer can also be the dominator or there are no dominators (Nash equilibrium). Finally, it is possible to consider pricing and advertising decisions in situations where two manufacturers or retailers compete. Practical implications When the price is reasonable, advertising investment is the main determinant of product sales. The greater the intensity of network externalities the more retailers will be willing to invest in advertising. An increase in the intensity of network externalities may not necessarily enhance manufacturers’ motivation or cooperative advertising, but it depends on the decision-making sequence. The strength of network externalities determines the decision-making sequence preferences of supply chain channel members whose preferences vary leading to conflicts of interest. Originality/value The impact of cooperative advertising or decision sequence on corporate decision-making has not been considered. To fill this gap, the paper integrates network externality and supply chain cooperative advertising models, focusing on the impact of network externality on pricing and advertising decisions, as well as on the sequence of decisions.

Risk factors associated with headache prevalence among adolescents

Background: Headache prevalence among adolescents has raised growing concerns due to its association with various risk factors in their lifestyle habits. Objective: This literature review aims to identify and analyze the main determinants related to headache prevalence among adolescents. Methods: This study consists of a systematic review of literature published in the last ten years in the Virtual Health Library (BVS) and PubMed, using the descriptors "headache," "adolescent," and "risk factors." The inclusion criteria were articles that address risk factors for headache in adolescents, published in Portuguese or English. Results: A higher prevalence of headache was observed in older adolescents (16-19 years) compared to younger adolescents (12-15 years). This difference may be related to biopsychosocial factors in younger adolescents, such as stress and/or divorce in the family environment. Among headache types, migraine and tension headaches were the most frequent. Tension headaches were more prevalent in females, with women reporting more frequent headache complaints than men. This difference may be associated with hormonal factors. The study also found a significant relationship between excessive technology use and headache occurrence, especially migraine-type headaches. This association can be explained by inadequate posture habits, visual fatigue, and auditory symptoms during the use of electronic devices. Conclusion: This study highlighted a higher prevalence of headache in older adolescents and a lower prevalence among younger ones, possibly due to family stress. Migraine and tension headaches were more common in this group, with tension headaches predominant among girls. Excessive use of digital technologies was associated with headache, especially migraine-type headaches, due to inadequate postures, visual fatigue, and auditory symptoms.

The Assessment of Effectiveness of Anesthesiology Rotation in Acquiring Proficiency in Cardiopulmonary and Cerebral Resuscitation for Medical Students at Tehran University of Medical Sciences in the Years 2021-2022

Background: Whether in a hospital setting or in the community, medical students are exposed to cardiac arrests. Fast response and effective resuscitation are main determinants for decreasing mortality and morbidity due to cardiac arrests. We assessed the effectiveness of anesthesiology rotation in acquiring cardiopulmonary and cerebral resuscitation for medical students. Methods: A pre-test/post-test quasi experimental design was undertaken, comprising A fortuitious sample of medical students who were undergoing anesthesiology rotation at Tehran University of Medical Sciences hospital complexes during the academic year 2021-2022 using a self-administered questionnaire to evaluate their theoretical comprehension, knowledge, skills and before and after the rotation. Results: The study revealed an increase in theoretical scores (mean dif +2.6/20), increased in self-assessment knowledge scores (mean dif + 0.84/5), as well as an increased in self-assessment skill scores (mean dif +0.96/5). The highest scored were witness in students with previous cardiopulmonary resuscitation (CPR) experience. Conclusion: It is of extreme importance for medical students to participate in anesthesiology rotations. It is essential for possessing the appropriate knowledge and skills to provide effective resuscitation care and gain confidence to perform CPR.

Lack of impact of HIV status on carotid intima media thickness in a cohort of stroke patients in South Africa

IntroductionPeople living with HIV (PLWH) are at increased risk for cardiovascular disease. Carotid intima media thickness (cIMT) is a validated surrogate marker of atherosclerosis, and an accurate predictor of future cardiovascular events. It is uncertain whether HIV potentiates stroke risk through atherosclerosis in Sub-Saharan Africa and what effect HIV status has on cIMT. We sought to investigate the relationship between HIV status and cIMT in stroke patients in a region that is burdened with dual epidemics of HIV and stroke in the young. MethodsConsecutive patients with new onset ischaemic stroke were recruited from a quaternary-level hospital in Johannesburg, South Africa, from August 2014 to November 2017. Patients were assessed for the presence of traditional cardiovascular risk factors and HIV infection, and investigated for stroke aetiology. cIMT was measured using high resolution B-mode ultrasound following standardized techniques. Results168 patients were included in the study, of which 62 (36.9%) were PLWH. Mean cIMT was higher in HIV-uninfected patients when compared to PLWH (0.79 ± 0.19 mm vs 0.69 ± 0.18 mm, p = 0.0021). However after adjusting for age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, body mass index and stroke aetiology, there was no difference in mean cIMT between the groups (0.76 ± 0.16 mm vs 0.73 ± 0.17 mm, p = 0.29). Regression models revealed the determinants of cIMT to be age (p < 0.0001), hypertension (p = 0.0098) and total cholesterol (p = 0.005), while the determinants of increased cIMT (≥0.70 mm) were only age (p < 0.0001) and hypertension (p = 0.0002). ConclusionHIV status had no effect on cIMT in our cohort of stroke patients. The main determinants of cIMT were age and hypertension.

The influence of plant traits on soil microbial communities varies between arid and mesic grasslands

Abstract Background and aims Both soil properties and plant traits shape the diversity, composition and functions of plant-associated soil microbial communities. However, the relative influence of these factors is poorly understood, as are interactive effects between factors and the degree to which their influence varies among climate zones. Methods To address this gap, we compared the diversity and composition of soil microbial communities associated with co-occurring C3 and C4 grasses from arid and mesic environments, and plant traits influencing them. Results Climate emerged as the main determinant of plant traits and microbial community properties. Within each climatic region, above- and below-ground traits and soil properties differentially affected microbial community composition, and their relative influence varied among communities. In both mesic and arid environments aboveground traits related to quantity and quality of leaf litter (e.g., specific leaf area, leaf C content) and nutrient availability were the most influential variables for community composition. However, in arid regions, belowground traits (i.e., root tissue density and specific root area) significantly contributed to structure the eukaryotic community, supporting the role of roots as important driver of eukaryotic differentiation in constrained environments. Further, the presence of C4 plants in the arid region resulted in higher relative abundance of ciliate protists and higher recruitment of potentially beneficial microbial community members from green algae mediated by drought adaptation traits (e.g. decreased abundance of fine roots). Conclusions Overall, our study revealed a differential response of microbial communities to environmental conditions, suggesting that soil microbial community composition is influenced by trade-offs between host adaptive traits across distinct climatic regions.

Biodiversity impact assessment for finance

AbstractBiodiversity loss, driven by human activities, significantly affects the environment, human societies, and economies. Using the extended multi‐regional input–output (EEMRIO) and life cycle assessment (LCA) techniques, we offer insights into how these methodologies can be used to inform financial decisions related to biodiversity focusing on two key aspects: biodiversity impacts and ecosystem service dependencies. Our method combines spatially explicit characterization factors from LC‐IMPACT with the Global Resource Input‐Output Assesment (GLORIA) database to estimate biodiversity impacts. As a case study we assess the biodiversity impact of the MSCI All Country World Index (MSCI ACWI) which consist of about 3000 large‐ and mid‐sized companies, from 23 developed and 24 emerging countries. The results demonstrate that most of the biodiversity impact is caused in the Americas, followed by Asia, despite its low representation in the index's country weight (6%). Europe shows the least impact. These results emphasize the need to account for global supply chain linkages as products sold in one country might have significant biodiversity impacts elsewhere due to sourcing of production inputs. Second, our results identify the main determinants of the index's impact: land use, followed by water stress and climate change. Although most of the impact is localized in few sectors, the distinct characteristics of these sectors require industry‐specific mitigation approaches. Finally, double materiality results show both, the influence companies have on biodiversity and the reciprocal effects. Companies neglecting these impacts risk financial setbacks, making it a crucial concern for investors.