Global Pressure Research Articles

Precision Agriculture and Water Conservation Strategies for Sustainable Crop Production in Arid Regions.

The intensifying challenges posed by global climate change and water scarcity necessitate enhancements in agricultural productivity and sustainability within arid regions. This review synthesizes recent advancements in genetic engineering, molecular breeding, precision agriculture, and innovative water management techniques aimed at improving crop drought resistance, soil health, and overall agricultural efficiency. By examining cutting-edge methodologies, such as CRISPR/Cas9 gene editing, marker-assisted selection (MAS), and omics technologies, we highlight efforts to manipulate drought-responsive genes and consolidate favorable agronomic traits through interdisciplinary innovations. Furthermore, we explore the potential of precision farming technologies, including the Internet of Things (IoT), remote sensing, and smart irrigation systems, to optimize water utilization and facilitate real-time environmental monitoring. The integration of genetic, biotechnological, and agronomic approaches demonstrates a significant potential to enhance crop resilience against abiotic and biotic stressors while improving resource efficiency. Additionally, advanced irrigation systems, along with soil conservation techniques, show promise for maximizing water efficiency and sustaining soil fertility under saline-alkali conditions. This review concludes with recommendations for a further multidisciplinary exploration of genomics, sustainable water management practices, and precision agriculture to ensure long-term food security and sustainable agricultural development in water-limited environments. By providing a comprehensive framework for addressing agricultural challenges in arid regions, we emphasize the urgent need for continued innovation in response to escalating global environmental pressures.

Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction

Zenith Tropospheric Delay (ZTD) is a significant error source affecting the accuracy of certain space geodetic measurements. This study evaluates the performance of Artificial Intelligence (AI) based meteorological models, such as Fengwu and Pangu, in estimating real-time ZTD. The results from these AI models were compared with those obtained from the Global Navigation Satellite System (GNSS), the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) Atmospheric Reanalysis (ERA5), and the third generation of the Global Pressure–Temperature data model (GPT3) to assess their accuracy across different time intervals, seasons, and geographic locations. The findings reveal that AI-driven models, particularly Fengwu, offer higher long-term forecasting accuracy. An analysis of data from 81 stations throughout 2023 indicates that Fengwu’s 7-day ZTD forecast achieved an RMSE of 2.85 cm when compared to GNSS-derived ZTD. However, in oceanic regions and areas with complex climatic dynamics, the Fengwu model exhibited a larger error compared to in other land regions. Additionally, seasonal variations and station altitude were found to influence the accuracy of ZTD predictions, emphasizing the need for detailed modeling in complex climatic zones.

Economic impact of retirement on the elderly population: a literature review

ABSTRACT This literature review examines the economic impact of retirement policies on the elderly, focusing on labor supply, consumption, and health. The aging global population pressures public pension systems, prompting reforms like increasing retirement age and reducing benefits, which significantly affect labor supply, demand, and economic growth. The review discusses the effects of retirement age and pension changes on labor supply, the ‘retirement-consumption puzzle,’ where consumption declines at retirement due to changes in time cost and health shocks, and mixed health outcomes post-retirement influenced by health behaviors. China’s fixed retirement policy offers a unique context for studying these effects, highlighting gender-specific impacts. The review emphasizes the need for balanced retirement policies that consider financial sustainability and health implications, promoting retirees’ consumption levels. This comprehensive analysis aids in evaluating retirement policy reforms’ costs and benefits across different institutional contexts.

Nine decades of research on Zostera capensis: from foundational science to conservation and resilience

Cape dwarf eelgrass Zostera capensis is the most abundant seagrass in South Africa, with some isolated populations occurring along the East African coastline. Providing numerous ecosystem services that support biodiversity and human wellbeing, it is endangered throughout its distribution. As such, the long-term persistence of Z. capensis is uncertain and novel approaches are required to reverse declines and the loss of associated critical ecosystem functions. Central to this is the need to build on existing scientific knowledge, so that habitat requirements, responses to future global change pressures and the functional significance of Z. capensis from a socio-ecological perspective can be better understood. In this comprehensive review, we summarise 8 key topics from 197 studies published between 1933 and 2023 and present a timely overview of research conducted on Z. capensis. Some of the earliest research that focussed on foundational knowledge included geographical distribution and aspects of seagrass ecology and physiology. In the last 3 decades, the breadth and diversity of research increased to encompass themes particularly relevant to ecological value and conservation, including emerging approaches such as conservation genomics, restoration and assessing the value of seagrass meadows in the context of blue carbon. This review also identifies critical gaps in our understanding of Z. capensis, including the impact of pollutants and sea level rise on seagrass persistence, novel techniques for mapping seagrass meadows, the interaction of microbiomes and seagrass health, alternative sources for upscaling seagrass restoration, increasing management and conservation efforts and engaging with people’s perceptions on the value of seagrass meadows.

Exploring Business Morals in the Cutting-Edge Corporate World

In the modern corporate world, business ethics has become a critical factor influencing the sustainability and success of organizations. With the rise of globalization, technological advancements, and increasing demands for corporate accountability, companies face complex ethical challenges that require strategic navigation. This article explores the growing importance of business ethics, focusing on key challenges such as globalization, data privacy, diversity, and profit pressures. It further outlines the role of leadership, corporate social responsibility (CSR), and transparency in maintaining ethical standards. Through case studies and real-world examples, the article provides a framework for how businesses can navigate ethical dilemmas, balance profitability with social responsibility, and foster long-term trust with stakeholders. Keywords : Corporate Ethics, Sustainability, Social Responsibility, Transparency, Stakeholder Engagement, Corporate Governance, Ethical Leadership, Fair Trade, Diversity and Inclusion, Data Privacy, Artificial Intelligence Ethics, Consumer Protection, Environmental Stewardship, Profit vs. Purpose, Whistle blower Protections, Corporate Accountability, Supply Chain Ethics, Workplace Culture, Innovation Ethics, Regulatory Compliance

Effects of Global Supply Chain Pressure on Sentiment, Expectation, and Uncertainty: A VAR Approach

This paper studies the relationship of global supply chain pressure with consumer sentiment, inflation expectation, and monetary policy uncertainty in the United States. A sample from January 1998 to January 2024 is used, and this paper uses a Vector Autoregression (VAR) approach based on the method proposed by Toda and Yamamoto (1995). The Granger causality test suggests that the predictions of inflation expectation based on its own past values and the past values of the global supply chain pressure are better predictions of inflation expectation than just using the past observations of inflation expectation. In contrast, Impulse Response Functions suggest that surprise increases in global supply chain pressure lead to increased inflation expectation and monetary policy uncertainty; this shock lasts up to two years. Meanwhile, the Impulse Response Functions suggest that surprise increases in the global supply chain pressure decrease consumer sentiment (confidence), lasting up to two and a half years. Afterward, the impact converges back to zero. Additionally, the Variance Decomposition results suggest that by the final period, the impulses of the global supply chain pressure explain over 22%, 7%, and 44% of the variation of consumer sentiment, monetary policy uncertainty, and inflation expectation, respectively.

A high precision 3-D tropospheric delay model over China using ERA5 data

The zenith tropospheric delay (ZTD) is an important error in Global Navigation Satellite System (GNSS) navigation and positioning. The current most empirical tropospheric delay models are two-dimensional with low spatial and temporal resolution and cannot capture high-frequent accurate ZTD variations in small areas and short periods, particularly in Mainland China with diverse climate changes and large terrain differences. In this paper, a high precision three-dimensional (3-D) tropospheric delay grid model (ZTD_3D) over China with a horizontal resolution of 0.25° × 0.25° and a time resolution of 1 hour was established with the piecewise function describing the height change of ZTD from 2016-2019 fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data (ERA5). The performance of the proposed model is verified by using radiosonde data and ZTD products from the Crustal Movement Observation Network of China (CMONOC), as well as the global pressure and temperature models (GPT2, GPT3-1 and GPT3-5). Results show that the RMS of ZTD_3D model is 2.04 cm when compared to radiosonde observations, and the accuracy is 55.1 %, 54.7 % and 63.1 % higher than that of GPT3-1 model, GPT3-5 model and GPT2 model, respectively, while the RMS of ZTD_3D model is 3.66 cm when compared to GPS ZTD from CMONOC, and the accuracy is 1.6 % and 29.7 % higher than that of GPT3-5 mode and GPT2 model, respectively. The application of the ZTD_3D model in GNSS precise point positioning (PPP) has showed accuracy improvement in the vertical direction. The model proposed in this study can provide accurate ZTD information and a reliable tropospheric delay correction model for precise GNSS positioning.

Boundary sources of velocity gradient tensor and its invariants

The present work elucidates the boundary behaviors of the velocity gradient tensor (A≡∇u) and its principal invariants (P, Q, R) for compressible flow interacting with a stationary rigid wall. First, it is found that the boundary value of A exhibits an inherent physical structure being compatible with the normal-nilpotent decomposition, where both the strain-rate and rotation-rate tensors contain the physical contributions from the spin component of the vorticity. Second, we derive the kinematic and dynamical forms of the boundary A flux from which the known boundary fluxes can be recovered by applying the symmetric–antisymmetric decomposition. Then, we obtain the explicit expression of the boundary Q flux as a result of the competition among the boundary fluxes of squared dilatation, enstrophy and squared strain-rate. Importantly, we find that both the coupling between the spin and surface pressure gradient, and the spin-curvature quadratic interaction (sw·K·sw), are not responsible for the generation of the boundary Q flux, although they contribute to both the boundary fluxes of enstrophy and squared strain-rate. Moreover, we prove that the boundary R flux must vanish on a stationary rigid wall. Finally, the boundary fluxes of the principal invariants of the strain-rate and rotation-rate tensors are also discussed. It is revealed that the boundary flux of the third invariant of the strain-rate tensor is proportional to the wall-normal derivative of the vortex stretching term (ω·D·ω), which serves as a source term accounting for the spatiotemporal evolution rate of the wall-normal enstrophy flux. As an example, several relevant surface quantities to the surface curvature are calculated based on global skin friction and surface pressure measurements in a flow over a National Advisory Committee for Aeronautics Fundamental Aeronautics Investigates The Hill model. These theoretical results provide a unified description of boundary vorticity and vortex dynamics, which could be valuable in understanding the formation mechanisms of complex near-wall coherent structures and the boundary sources of flow noise.

Decarbonising the Australian economy: A first step

AbstractAmidst mounting global pressure, governments worldwide have embarked on a collective journey towards decarbonising their economies within the next 30 years. This ambitious goal necessitates the phasing out of naturally occurring hydrocarbons such as coal, natural gas, and oil. However, our analysis of data from academic papers, Australian Federal Government publications, and reports from energy industry bodies and manufacturers of electricity‐generating equipment suggests that such a complete elimination of fossil fuel use is not feasible. The data we've gathered, however, indicate that transitioning to a connected energy island power generation topology could at least create a sustainably robust energy supply capable of propelling Australia towards its environmental targets while bolstering its future economic well‐being.

Continuing ‘reforming’ policies in teacher education internationally: what can we learn from current accounts?

ABSTRACT This article discusses common geopolitical issues, such as globalisation, decolonialisation, and economic pressure that affect the development of teacher education policy in England, Canada, South Africa, New Zealand, Russia, Israel, Jamaica, Portugal, Japan, Poland, and China. It goes on to describe these nations’ responses to these pressures and the challenges that they have and continue to face in developing their teacher education systems and building the profession. The article concludes with consideration of the ongoing struggle for the soul of teacher education, especially in England.

New multivariate models for the estimation of earth’s albedo and its variation with meteorological parameters over Kano, Nigeria

The study of what happens to sunlight as it goes through the atmosphere is vital to many fields of science because over time, reflection, scattering, and absorption in the atmosphere have changed the amount of solar radiation that reaches the Earth's surface. This study examined the variation in albedo over Kano, situated in the Sahelian climatic zone of Nigeria. The study's data, which covered the years 1984–2022, totaled thirty-nine, was obtained from the National Aeronautics and Space Administration (NASA). Utilizing monthly average daily measured meteorological data on global solar radiation, wind speed, mean temperature, surface pressure, and relative humidity, eleven models of three categories based on two, three, and four variable regression models were developed. Five validation indicators were used to verify the regression models: the t-test, coefficient of determination (R2), mean percentage error (MPE), root mean square error (RMSE), and mean bias error (MBE). The developed models that were considered most appropriate for estimating surface albedo were ranked; the three-variable regression model ALB7, which included the wind speed, relative humidity, and mean temperature, outperformed the previously employed generalized method from literature in estimating surface albedo over Kano. The variation of measured albedo with meteorological parameters depicts a direct relationship for clearness index and wind speed; an inverse relationship was observed for surface pressure. Mean temperature and surface pressure exhibit an inverse relationship during the wet season and vice versa for the dry season.

Whole-chain intensification of pig and chicken farming could lower emissions with economic and food production benefits.

Intensified monogastric livestock management could conserve feed inputs and mitigate some of the environmental and climate challenges associated with animal production. In this study, we used data from 166 countries to model the environmental, climate and economic impacts of pig and chicken intensification. We found that whole-chain intensification could reduce annual nitrogen and greenhouse gas emissions by 49% (4.6 Tg) and 68% (554 Tg CO2-equivalent), respectively. These changes translate to 5.0 Tg lower nitrogen fertilizer input for feed production, resulting in an overall benefit of US$93 billion. Integrated crop-livestock optimization under intensive management could release 27 Mha of cropland and provide additional food for 310 million people. A judicious promotion of intensification could alleviate global pressures related to food security, environment and climate change.

Evolution and prognostic impact of left ventricular myocardial work indices after transcatheter aortic valve replacement in patients with severe aortic stenosis

Abstract Introduction Left ventricular myocardial work (LVMW) is an echocardiographic-based technique to evaluate LV function using pressure-strain loops and therefore correcting for the left ventricular (LV) afterload. LVMW indices have been shown to be of prognostic importance in patients with aortic stenosis (AS) before transcatheter aortic valve replacement (TAVR), but no data is available on the evolution and the prognostic value of these parameters after TAVR. Purpose To measure LVMW indices before and after TAVR in patients with severe AS and explore the association with outcome. Methods As previously validated, LV global longitudinal strain (GLS) and LV systolic pressure (as the sum of the brachial arterial blood pressure and mean aortic valve gradient before TAVR and as brachial arterial blood pressure after TAVR) were incorporated to build pressure-strain loops and to calculate the following LVMW indices: global work index (LV GWI), global constructive work (LV GCW), global wasted work (LV GWW) and global work efficiency (LV GWE). The endpoint was all-cause mortality. Results A total of 255 patients were included with a median age of 82 years (IQR 77-85); 51% were men and 67% presented with NYHA class III/IV. After TAVR, LVEF and LV GLS remained in average unchanged (from 56 to 55%, p=0.470 and from 13.6 to 13.2%, p=0.068). While LV GWW remained unchanged after TAVR (from 247 to 258mmHg%, p=0.080), LV GWI, LV GCW and LV GWE significantly decreased (from 1882 to 1291mmHg%, p <0.001, from 2248 to 1671mmHg%, p <0.001 and from 89 to 85%, p <0.001 respectively). During a median follow-up of 59 months (IQR 40-72), 129 patients died. Univariable Cox regression analysis identified an association between all-cause mortality and male sex, diabetes mellitus, chronic obstructive pulmonary disease (COPD), renal function, atrial fibrillation, Charlson comorbidity index, pacemaker implantation, and post-TAVR LV GLS, LV GWI and LV GCW. These clinical parameters were used as a basal multivariable Cox regression model of which on top either post-TAVR LV GLS, LV GWI or LV GCW were added. All these parameters of post-TAVR LV systolic function showed an independent association with all-cause mortality, but LV GWI demonstrated the highest increase in model predictivity (Figure 1). Given the prognostic relevance of post-TAVR LV GWI, the population was divided into LV GWI tertiles. The group with the lowest LV GWI tertile showed a significantly higher proportion of male patients, higher prevalence of atrial fibrillation and also worse pre-TAVR LVEF, LV GLS, LV GWI, LV GCW and LV GWE. Kaplan Meier survival analysis confirmed the worse survival in the group with the lowest LV GWI compared to the highest tertile (log-rank ꭓ2: 8,224, p 0.016, Figure 2). Conclusion LVMW indices change after TAVR and post-TAVR LV GLS, LV GWI, LV GCW are independently associated with all-cause mortality. Among these parameters, LV GWI yielded the highest prognostic value.

Unsupervised machine learning identifies distinct phenotypes in cardiac complications of pediatric patients treated with anthracyclines

BackgroundAnthracyclines are essential in pediatric cancer treatment, but patients are at risk cancer therapy-related cardiac dysfunction (CTRCD). Standardized definitions by the International Cardio-Oncology Society (IC-OS) aim to enhance precision in risk assessment.ObjectivesCategorize distinct phenotypes among pediatric patients undergoing anthracycline chemotherapy using unsupervised machine learning.MethodsPediatric cancer patients undergoing anthracycline chemotherapy at our institution were retrospectively included. Clinical and echocardiographic data at baseline, along with follow-up data, were collected from patient records. Unsupervised machine learning was performed, involving dimensionality reduction using principal component analysis and K-means clustering to identify different phenotypic clusters. Identified phenogroups were analyzed for associations with CTRCD, defined following contemporary IC-OS definitions, and hypertensive response.ResultsA total of 187 patients (63.1% male, median age 15.5 years [10.4–18.7]) were included and received anthracycline chemotherapy with a median treatment duration of 0.66 years [0.35–1.92]. Median follow-up duration was 2.78 years [1.31–4.21]. Four phenogroups were identified with following distribution: Cluster 0 (32.6%, n = 61), Cluster 1 (13.9%, n = 26), Cluster 2 (24.6%, n = 46), and Cluster 3 (28.9%, n = 54). Cluster 0 showed the highest risk of moderate CTRCD (HR: 3.10 [95% CI: 1.18–8.16], P = 0.022) compared to other clusters. Cluster 3 demonstrated a protective effect against hypertensive response (HR: 0.30 [95% CI: 0.13– 0.67], P = 0.003) after excluding baseline hypertensive patients. Longitudinal assessments revealed differences in global longitudinal strain and systolic blood pressure among phenogroups.ConclusionsUnsupervised machine learning identified distinct phenogroups among pediatric cancer patients undergoing anthracycline chemotherapy, offering potential for personalized risk assessment.

The distribution of environmental pressures from global dietary shift

Abstract The production and consumption of food is one of the main drivers of environmental change globally. Meanwhile, many populations remain malnourished due to insufficient or unhealthy diets. Increasingly, dietary shifts are proposed as a means to address both environmental and health concerns. We have a limited understanding of how dietary shifts could alter where food is produced and consumed and how these changes would affect the distribution of environmental pressures both globally and across different groups of people. Here we combine new food flow data linking producing to consuming country with environmental pressures to estimate how a global shift to each of four diets (Indian, EAT-Lancet, Mediterranean, and mean Food Based Dietary Guidelines (FBDGs)) could affect environmental pressures at the global, country income group, and country level. Globally, cumulative pressures decrease under the Indian, EAT-Lancet, and Mediterranean scenarios and increase under FBDGs. On average, low income countries increase their cumulative consumption and production pressures while high income countries decrease their consumption pressures, and typically decrease their production pressures. Increases in low income countries are likely due to the nutritional inadequacy of current diets and the corresponding increases in consumption quantities with a shift to our diet scenarios. Despite these increases, we believe that three out four of our simulated dietary shifts can be seen as a net benefit by decreasing global pressures while low income countries increase pressures to adequately feed their populations. Additionally, considering principles of fairness applied, some nations are more responsible for causing historical environmental pressures and should shoulder more of the change. To facilitate more equitable shifts in global diets, resources, capacity, and knowledge sharing of sustainable agricultural practices are critical to minimize the increases in pressures that low income countries would incur to adequately feed their populations.

GLOBAL–LOCAL DRIVING FORCES of CHINA’S GREENING of INDUSTRY

ABSTRACT The greening of industry is an inevitable path for developing economies to achieve sustainability transition. However, the specific roles of global and local driving forces are still not substantially understood. This study develops a three-dimensional framework, which includes coercive pressures, normative pressures, and technology acquisition to analyze the influence of global and local drivers on China’s greening of industry. We measure the industrial eco-efficiency (IEE) using Super-SBM model and analyze its influencing factors using the Tobit regression model at the provincial level in China from 2010 to 2020. China’s IEE evolution and its drivers are stage-specific and regionally differentiated, and differences also exist in the roles of global and local drivers. Developing countries initially start the green development of industry under global normative pressures through integration in the global production network. Thereafter, global coercive pressures and local forces, including domestic technologies, market demands, and effective regulations, drive the further greening of industry. The different potentials of regional coercive and normative pressures depend on industrial structures and socio-technical regimes. Policy recommendations for the greening of industry in developing economies are proposed.

Baseline for marine cave monitoring strategies in the Alboran Sea using modified Cave Ecosystem-Based Quality Index (CavEBQI)

Marine caves constitute vulnerable habitats with unique and diverse biocoenoses. Monitoring these habitats is still challenging, which hinders the ability to evaluate global and local pressures that threatens their ecological value. In this study, ecological quality is estimated in twenty-one marine caves distributed along the northern and southern coasts of the Alboran Sea, a highly understudied area regarding marine caves. For that purpose, adjustments on the original Cave Ecosystem Based Quality Index (CavEBQI) are suggested in order to efficiently estimate the ecological quality of marine caves. Several methodological aspects regarding the assessment of biotic coverage, the visual census of motile fauna and the plasticity of the index usability were evaluated. Ecological quality of marine caves was in average “good” although it ranged between “poor”, “moderate” and “good” depending on the features of each cave. This study emphasizes the importance of adapting biotic indicators to biogeographical differences and technological advancements.

Modelling the Effects of Forest use Change on Brownification of Finnish Rivers under Atmospheric Pressure.

Browning of surface waters due to increased terrestrial loading of dissolved organic matter (DOM) is observed across the Northern Hemisphere. The effects influence several ecosystem services from freshwater productivity to water purification. Brownification is often explained by changes in large-scale anthropogenic pressures and ecosystem functioning (acidification, climate change, and land cover changes). This study examined the effect of forest use changes on water browning in Finland, considering the effects of global pressures. Our goal was to find the ecosystems and geographic areas that are most sensitive to environmental pressures that increase the loading of DOM. We were also looking for land use strategies that decrease browning. We combined mathematical watershed modelling to scenarios of climate change, atmospheric deposition, and forest use change. Changes included scenarios of forest harvest and protection on forest, that were derived from European Union's regulation. The study area covered 20 watersheds from south to north of Finland. In northern Finland brownification continue. In southern Finland global influence (atmospheric deposition, climate change) seem to weaken, giving more space for local forest use change having an influence on brownification. Forest use change was more influential in river basins dominated by organic soils than in mineral soils. Extending forest protection decreased brownification especially in areas where the influence of atmospheric pressure is decreasing. When forest protection is planned to provide a carbon storage and sequestration potential and to favor biodiversity, it has favorable effect on surface water quality as well.

The Chinese idea of a university in flux: academic freedom and institutional autonomy under entrepreneurial reforms in the GBA

ABSTRACT The complexity of the idea of a university has been intensified globally as more universities pursue entrepreneurship. For modern universities in China as latecomers, contemporary entrepreneurial reforms are implemented against a backdrop of ongoing interactions between Chinese and Western ideas of a university, with the Western established as the formal system and the Chinese functioning informally yet powerfully. Through 71 semi-structured interviews at four universities in the Guangdong-Hong Kong-Macao Greater Bay Area, this study explores how academic freedom and institutional autonomy are perceived by Chinese academics under entrepreneurial reforms. The study has two major findings through Clark’s analytical framework of academic, government, and market forces: (1) A novel form of statist academic freedom is emerging, merging traditional Chinese scholarly values with state-driven entrepreneurial demands; (2) The adapted triple helix model in China emphasises competition and excellence, shaped by a unique blend of state influence and market dynamics. It offers a nuanced perspective on academic freedom and institutional autonomy amidst entrepreneurial reforms in China, highlighting a compatibility with Chinese idea of a university and a response to global entrepreneurial pressures.

Stomatal closure as a driver of minimum leaf conductance declines at high temperature and vapor pressure deficit in Quercus.

Rising global temperatures and vapor pressure deficits (VPD) are increasing plant water demand and becoming major drivers of large-scale plant mortality. Controlling transient leaf water loss after stomatal closure (gmin) is recognized as a key trait determining how long plants survive during soil drought. Yet, substantial uncertainty remains regarding how gmin responds to elevated temperatures and VPD and the underlying mechanisms. We measured gmin in 24 Quercus species from temperate and Mediterranean climates to determine if gmin was sensitive to a coupled temperature and VPD increase. We also explored mechanistic links to phenology, climate, evolutionary history, and leaf anatomy. We found that gmin in all species exhibited a non-linear negative temperature and VPD dependence. At 25°C (VPD = 2.2 kPa), gmin varied from 1.19 to 8.09 mmol m-2 s-1 across species but converged to 0.57 ± 0.06 mmol m-2 s-1 at 45°C (VPD = 6.6 kPa). In a subset of species, the effect of temperature and VPD on gmin was reversible and linked to the degree of stomatal closure, which was greater at 45°C than at 25°C. Our results show that gmin is dependent on temperature and VPD, is highly conserved in Quercus species, and is linked to leaf anatomy and stomatal behavior.