Information For Management Research Articles

Characterizing long-term tree species dynamics in Canada’s forested ecosystems using annual time series remote sensing data

Mapping tree species and changes in species distribution over time enables monitoring of successional dynamics and linking of realized species distributions to regional, climatic, and disturbance processes. Such knowledge is valuable for informing forest management activities regarding the role of climate change and various types of forest disturbances on tree species distributions and successional processes. In this study, we used time-series Landsat imagery to produce annual maps of dominant tree species (n = 37 tree species classes) from 1984 to 2022 at a 30-m spatial resolution for the 650 Mha of Canada’s forested ecosystems. The classification approach was based on spectral, geographic, climatic, and topographic descriptive metrics and was independently calibrated and validated with data from Canada’s National Forest Inventory. Preliminary results were informed by disturbance events and post-processed to ensure consistency of the annual species maps. Assessment of the resulting annual species maps using independent validation data resulted in an overall accuracy of 86.1 % ± 0.14 % (95 %-confidence interval). Over the study period, Canada’s treed area increased from 335 to 359 Mha. The area dominated by conifers increased in absolute terms but decreased in relative terms (from 86 % to 84.9 %), especially in western ecozones where wildfire is the main agent of disturbance. The area dominated by black spruce (Picea mariana), the most common tree species in Canada, remained stable, but its relative area decreased by 4.6 %. The area dominated by balsam fir (Abies balsamea, 1.5 %), trembling aspen (Populus tremuloides, 0.9 %), jack pine (0.5 %), and sugar maple (Acer saccharum, 0.4 %) increased. In burned areas, the prevalence of black spruce (74.7 %) and jack pine (Pinus banksiana, 14.6 %) was greater than their prevalence in Canada’s forested ecosystems overall (58.7 % and 3.8 %, respectively), while trembling aspen (2.4 % vs. 10 %) and subalpine fir (1.1 % vs. 4.6 %; Abies lasiocarpa) were underrepresented in burned areas. The area dominated by black spruce was underrepresented in harvested areas (46.8 % vs. 58.7 %) whereas balsam fir (6.9 % vs. 3 %), Engelmann spruce (5.5 % vs. 2 %; Picea engelmannii), red spruce (1.8 % vs. 0.4 %; Picea rubens), lodgepole pine (11.2 % vs. 5.6 %; Pinus contorta), Douglas-fir (2.7 % vs. 1.3 %; Pseudotsuga menziesii), and western hemlock (4.8 % vs. 2 %; Tsuga heterophylla) were found to be overrepresented. Both post-fire and post-harvest dynamics indicated a general trend of regeneration to the same pre-disturbance tree species, with post-harvest landscapes exhibiting a greater variety of different dominant tree species. These results provide valuable information for sustainable forest management and can inform conservation strategies by helping to better understand the short- and long-term effects of forest disturbances on species presence and distribution.

Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change

Abstract The frequency of compound hot-dry events (fHD) is projected to increase significantly with future warming, yet associated uncertainties remain considerable and poorly constrained. In this study, we constrain future projections of fHD (2070-2099) using observations of recent trends in temperature (T) and precipitation (P) (1980-2014) during the warm-seasons. The physical mechanism is that the variance of fHD across climate models is dominated by their projected changes in P (ΔP), which can be constrained by recent trends in T and P. Compared to the raw projections, the observationally constrained fHD is reduced by 9.68%~18.74%, with uncertainty narrowed by 3.79%~10.66% under the high emission scenario. The highest decline of fHD is located in regions with low population and GDP, and globally, population and GDP exposures to fHD are reduced by 6.02%~10.73% and 6.51%~12.03%, respectively. The observationally constrained fHD with lower uncertainty provides more reliable information for risk management under climate change.

Analysis of the Effect of Corporate Social Responsibility on Company Management Performance

General Background: Corporate Social Responsibility (CSR) significantly influences company performance in today’s business environment. Specific Background: Inconsistent findings exist regarding CSR's impact on management performance, particularly in Indonesia’s state-owned enterprises (BUMN). Knowledge Gap: This study addresses this gap by examining the effects of environmentally and socially oriented CSR on the management performance of BUMN companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2022. Aims: The study aims to empirically assess how CSR influences management performance using quantitative data from annual reports. Results: The findings reveal that both environmentally and socially oriented CSR positively impact management performance, with implications for financial outcomes. Novelty: This research offers new insights into the relationship between CSR initiatives and firm performance. Implications: The results provide valuable information for investors and corporate managers, highlighting the necessity of effective CSR strategies to enhance operational performance and build investor confidence. Highlights: Positive Impact: Both environmentally and socially oriented CSR significantly enhance management performance in BUMN companies. Investment Insights: Effective CSR strategies are essential for building investor confidence and improving financial outcomes. Research Contribution: This study fills the knowledge gap by empirically linking CSR initiatives to firm performance in Indonesia. Keywords: Corporate Social Responsibility, Management Performance, State-Owned Enterprises, Indonesia Stock Exchange, Financial Outcomes

Integration of 2D and 3D electrical resistivity tomography and 2D gravity modeling to evaluate groundwater investigations in the Burka Uke catchment area, western Ethiopia

The increasing demand for water resources due to the expanding infrastructure and growing population of Uke town, West Ethiopia, necessitates a comprehensive understanding of groundwater potential within the Burka Uke catchment. The aims and objectives of this study are to identify a map of the aquifer by characterizing the subsurface earth, basement rock depth, resistivity and density of geological layers, their thicknesses, and structural features. The investigation integrates electrical resistivity tomography and gravity modeling to delineate potential groundwater zones and their structural controls. Electrical resistivity tomography profiles (1, 4, and 6) revealed low resistivity zones indicative of potential aquifers. The significant resistivity contrast (378 to 1412 Ω.m) suggests a high fracture density, potentially enhancing groundwater storage. The Bouguer gravity anomaly map, separated into regional and residual components, displayed values ranging from 51.79 to 41.59 mGal, highlighting density variations in the subsurface. As a result, analysis of the residual gravity anomaly map identifies north–south striking fault elements, indicating their influence on groundwater flow.The combined 2D and 3D ERT data also revealed a 2D gravity model of the aquifer from which the concentration extended throughout the study area. Data validation with previously drilled wells has confirmed the effectiveness of the geophysical methods used in identifying potential groundwater zones. This study provided critical information for the sustainable management of existing groundwater and demonstrated the effectiveness of integrating geophysical techniques to delineate and characterize aquifers in water-stressed areas.

The Dynamics of Vegetation Evapotranspiration and Its Response to Surface Meteorological Factors in the Altay Mountains, Northwest China

The Altay Mountains’ forests are vital to Xinjiang’s terrestrial ecosystem, especially water regulation and conservation. This study evaluates vegetation evapotranspiration (ET) from 2000 to 2017 using temperature, precipitation, and ET data from the China Meteorological Data Sharing Service. The dataset underwent quality control and was interpolated using the inverse distance weighted (IDW) method. Correlation analysis and climate trend methodologies were applied to assess the impacts of temperature, precipitation, drought, and extreme weather events on ET. The results indicate that air temperature had a minimal effect on ET, with 68.34% of the region showing weak correlations (coefficients between −0.2 and 0.2). Conversely, precipitation exhibited a strong positive correlation with ET across 98.91% of the area. Drought analysis, using the standardized precipitation evapotranspiration index (SPEI) and the Temperature Vegetation Dryness Index (TVDI), showed that ET was significantly correlated with the SPEI in 96.47% of the region, while the TVDI displayed both positive and negative correlations. Extreme weather events also significantly influenced ET, with reductions in the Simple Daily Intensity Index (SDII), heavy precipitation days (R95p, R10), and increases in indicators like growing season length (GSL) and warm spell duration index (WSDI) leading to variations in ET. Based on the correlation coefficients and their significance, it was confirmed that the SII (precipitation intensity) and R95p (heavy precipitation) are the main factors causing vegetation ET increases. These findings offer crucial insights into the interactions between meteorological variables and ET, essential information for sustainable forest management, by highlighting the importance of optimizing water regulation strategies, such as adjusting species composition and forest density to enhance resilience against drought and extreme weather, thereby ensuring long-term forest health and productivity in response to climate change.

Canopy height uniformity: a new 3D phenotypic indicator linking individual plant to canopy

Canopy height uniformity (CHU) is a key indicator linking individual plants to populations. Determining CHU by the manual measurement of the height of individual plants is inefficient and subjective, making meeting the demand for a high-throughput assessment of CHU in high-yield crop management and variety selection challenging. Therefore, a high-throughput CHU estimation approach using unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) data is proposed. First, individual plant point clouds were segmented by incorporating planting density, and the CHU was estimated based on the extracted plant heights (PHs). The CHU was then applied to quantify the effects of different cropping practices on maize canopy structure. In addition, 18 canopy structural parameters (SPs) were extracted from the canopy point cloud, and aboveground biomass (AGB) was estimated by combining these SPs with Pelican Optimization Algorithm (POA) machine learning models (POA-MLs). Finally, as an indicator of individual variability within the canopy, CHU was integrated into the training process to evaluate the accuracy of AGB estimation for different models and datasets. The results showed that the plant height extracted by the canopy population-individual plant segmentation was accurate, with R2 ranging from 0.85 to 0.93. The CHU was able to accurately quantify the effects of different cropping practices on canopy structure. An increase in applied nitrogen fertilizer and irrigation could significantly contribute to an increase in CHU and the formation of a clean and homogeneous canopy structure. Meanwhile, marginal effects can be accurately quantified through PHs estimation to further quantify the intra-canopy differences. In addition, the accuracy of the AGB estimation can be effectively improved by merging SPs, PH, and CHU. In this study, we demonstrated the efficacy of CHU as a phenotypic indicator for representing differences in canopy structure, thus providing practical phenotypic identification information for breeders and field managers.

A-318 Validation of umbilical cord blood as an alternate sample type for quantitative in vitro detection of glucose-6-phosphate dehydrogenase in neonates

Abstract Background Detection of glucose-6-phosphate dehydrogenase (G6PD) deficiency provides important information for neonatal clinical management. G6PD newborn screening is recommended using umbilical cord blood specimens in vulnerable patient populations.1 Also, cord blood is used by many clinicians instead of peripheral blood for neonatal screening of G6PD.2 Use of cord blood is a modification to the FDA-approved Pointe Scientific G6PD kinetic-340 nm assay. The aim of this study was to validate cord blood as an alternate specimen type for the Pointe Scientific G6PD assay. Methods Hemoglobin (Hgb) results are from Sysmex XN 9100™ analyzers that use SLS methodology with photometric detection. G6PD results are from Roche cobas® c502 analyzers with Pointe Scientific kinetic method and spectrophotometric detection of activity, expressed as U/g Hgb. Neonatal blood specimens were obtained as paired samples from heel sticks and umbilical cord collected in EDTA lavender top tubes. Accuracy acceptance criteria was defined as Deming regression slope between 0.90 and 1.10, r-value of >0.90 and bias ±15% and mixing study recovery of ±10%. Precision (intra-assay and inter-assay), reportable range and linearity, carryover, and stability were established using cord blood samples or control materials sourced from Thermo Fisher Scientific or Sysmex. Reference intervals3, analytical sensitivity, specificity, and clinical validity were transferred to cord blood due to comparability with whole blood FDA-approved method. EP Evaluator software by Data Innovations® was used for calculations. Results Direct comparison of G6PD results (U/g Hgb) from 125 paired samples yielded a 0.9025 correlation coefficient, 1.024 Deming slope, and -0.25% bias. Mixing and recovery of admixed samples gave % recoveries of 102, 103, 101, 102, 100, and 100 for G6PD (U/g Hgb), and 102, 102, 101, 104, 99, and 105 for Hgb (g/dL). Intra-assay precision results were 2.4, 0.6, 0.8, 0.5, 0.4 % CV for G6PD and Hgb, respectively. Inter-assay precision results were 3.1, 3.3, 0.7, 0.7, 0.5 % CV for G6PD and Hgb, respectively. Reportable range and linearity evaluation resulted in a maximum deviation from target recovery of 4%, and a slope of 0.979 for a range of 50 - 2740 U/L, and reportable range for Hgb was confirmed as 0.1 - 26.0 g/dL using controls (1% maximum deviation and 0.991 slope). Carryover was -5.8 (mean concentration) for G6PD and 0% for Hgb after testing 21 replicates of pooled high and low samples in a defined order. Testing 3 samples in 3 replicates at each defined time interval defined stability as 1 week refrigerated or 72 hours room temperature for G6PD, and 3 days refrigerated or 1 day room temperature for Hgb. Conclusions Regression statistics and mixing-recovery studies demonstrated accuracy for detecting G6PD (U/g Hgb) and Hgb (g/dL) from EDTA cord blood. Additional performance characteristics were transferrable for this specimen type from the FDA-approved method for whole blood. Umbilical cord blood is an acceptable alternate specimen type for quantitative detection of G6PD (U/g Hgb) using Pointe Scientific with Sysmex XN-9100™ and Roche cobas® c502 instrumentation.

Climatic and hydrological variability in the Oued Lakhdar watershed (Central High Atlas, Morocco)

Abstract The results of this study highlighted significant changes in hydroclimatic conditions over the period studied. Annual rainfall shows significant variability, with years such as 1996 characterised by exceptional humidity, while others, such as 2017, stand out for their particularly marked drought. This variation can be quantified using the Rainfall Anomaly Index (RAI), providing crucial information for water resource management. Temperatures also show seasonal fluctuations, oscillating between hot summers and cold winters. In particular, 2017 was exceptionally warm, while 2011 was unusually cold. In terms of river flows, there has been considerable variability, with some years showing high flows (e.g. 2011) and others with very low flows (e.g. 1990). However, the general trend towards an increase in flow from the 2010 onwards is notable (Sgat station). The RCV index, which classifies years according to surplus or deficit, highlights the predominance of deficit years. In addition, the Monthly Flow Coefficient (MFC) allows us to subdivide the hydrological regime into periods of high and low water. These results highlight the importance of monitoring hydro-climatic conditions for effective management of water resources and the implementation of measures to adapt to climate change.

Functional Simulation Exercise on Functionality of National Public Health Emergency Operations Centers in the African Region: Review of Strengths and Gaps.

National public health emergency operations centers (PHEOCs) serve as hubs for coordinating information and resources for effective emergency management. In the International Health Regulations (IHR 2005) Monitoring and Evaluation Framework, a simulation exercise is 1 of 4 components that can be used to test the functionality of a country's emergency response capabilities in a simulated situation. To test the functionality of PHEOCs in World Health Organization African Region member states, a regional functional exercise simulating an Ebola virus disease outbreak was conducted. The public health actions taken in response to the simulated outbreak were evaluated against the exercise objectives. Thematic analysis was conducted to summarize key strengths and areas for improvement. From December 6 to 7, 2022, more than 1,000 representatives from 36 of the 47 African Region member states participated in the exercise from their respective PHEOCs. Approximately 95% of the 461 participants polled agreed with the positive responses to the postexercise survey. More than half of the PHEOC participants were able to test their existing emergency preparedness and response plans and became familiar with the expected roles to be fulfilled during an event. Of the participants who responded to the survey, over 90% reported that the exercise helped them understand their roles during emergency management. The exercise met its objectives and provided an opportunity to test the functionality of PHEOCs using realistic scenarios, and it helped participants understand existing response systems and procedures. However, the exercise also revealed areas for improvement in terms of the timing and preparation of participants. We recommend conducting functional exercises at the regional and national levels at least once a year, early or midyear, to allow many stakeholders to take part in the exercise. Moreover, there is a need to train country-level evaluators and controllers in designing and conducting functional exercises.

Age- and sex-specific biomechanics and extracellular matrix remodeling of the ascending aorta in a mouse model of severe Marfan syndrome.

Thoracic aortic aneurysm (TAA) is associated with Marfan syndrome (MFS), a connective tissue disorder caused by mutations in fibrillin-1. Sexual dimorphism has been recorded for TAA outcomes in MFS, but detailed studies on the differences in TAA progression in males and females and their relationships to outcomes have not been performed. The aims of this study were to determine sex differences in the diameter dilatation, mechanical properties, and extracellular matrix (ECM) remodeling over time in a severe mouse model (Fbn1mgR/mgR = MU) of MFS-associated TAA that has a shortened life span. Male and female MU and wildtype (WT) mice were used at 1-4 mo of age. Blood pressure and in vivo diameters of the ascending thoracic aorta were recorded using a tail-cuff system and ultrasound imaging, respectively. Ex vivo mechanics and ECM remodeling of the aorta were characterized using a biaxial test system and multiphoton imaging, respectively. We showed that mechanical properties, such as structural and material stiffness, and ECM remodeling, such as elastic and collagen fiber content, correlated with diameter dilatation during TAA progression. Male MU mice had accelerated rates of diameter dilatation, stiffening, and ECM remodeling compared with female MU mice which may have contributed to their decreased life span. The correlation of mechanical properties and ECM remodeling with diameter dilatation suggests that they may be useful biomarkers for TAA progression. The differences in diameter dilatation and life spans in male and female MU mice indicate that sex is an important consideration for managing thoracic aortic aneurysm in MFS. NEW & NOTEWORTHY Using a mouse model (Fbn1mgR/mgR = MU) of severe thoracic aortic aneurysm in Marfan syndrome (MFS), we found that male MU aorta had an accelerated time line and increased amounts of dilatation, stiffening, and extracellular matrix (ECM) remodeling compared with female MU aorta that may have contributed to an increased risk of fatigue failure with cyclic loading over time and a reduced life span. We suggest that aortic stiffness may provide useful information for clinical management of aneurysms in MFS.

Isolated non-immune-mediated second-degree atrioventricular block in the fetus: natural history and predictive factors for spontaneous recovery.

To determine the clinical course of fetal isolated non-immune-mediated second-degree atrioventricular block (AVB) and the factors associated with spontaneous recovery in these cases. Fetuses with isolated non-immune-mediated second-degree AVB were recruited prospectively between 2014 and 2022. These fetuses were divided into two groups: those which recovered spontaneously and those which did not. Maternal and fetal characteristics and intrauterine and postnatal outcomes were compared between the two groups. The study cohort included 20 fetuses with isolated non-immune-mediated second-degree AVB, diagnosed at a median gestational age of 22.0 (range, 17.0-35.0) weeks. In 12 fetuses, 1:1 atrioventricular conduction was restored spontaneously in utero and there was no recurrence during the postnatal follow-up period. In the remaining eight fetuses, second-degree AVB was maintained and, in six of these, the pregnancy was terminated on parental request. Of the two liveborn children who had persistent second-degree AVB prenatally, one had progressed to complete AVB at the latest follow-up, at the age of 34 months, but was asymptomatic, without heart enlargement or dysfunction. The other child progressed to complete AVB after delivery and was diagnosed with type-2 long QT syndrome. This infant died aged 2 months. Fetuses in the group that recovered spontaneously had earlier gestational age at diagnosis (median, 20.0 (range, 17.0-26.0) vs 24.5 (range, 18.0-35.0) weeks; P = 0.004) and higher atrial rate at diagnosis (median, 147 (range, 130-160) vs 138 (range, 125-149) bpm; P = 0.006) in comparison with the group that did not recover spontaneously. The best cut-off values for prediction of failure to recover spontaneously were 22.5 weeks' gestational age at diagnosis and 144 bpm atrial rate at diagnosis, with sensitivities of 87.5% and 75.0%, respectively, and specificities of 92.0% and 87.5%, respectively. The outcome of 60% of fetuses with isolated non-immune-mediated second-degree AVB was favorable. Earlier gestational age and higher atrial rate at diagnosis were associated with spontaneous reversion to normal sinus rhythm. Prenatal genetic testing should be performed in cases with persistent AVB, to exclude heritable disorders including long QT syndrome. These findings provide important information for clinical management and prenatal counseling in these cases. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

'So Let's Go On Like This?'-Shared Decision-Making and the Use of Outcome Information in Routine Care Management for People With Multiple Sclerosis.

This study aimed to investigate how shared decision-making (SDM) and the use of different types of outcome information are applied in routine care management for people with multiple sclerosis (MS) in an academic outpatient clinic. This qualitative study used the following: (a) observations of clinical encounters (N = 23) between patients and healthcare professionals (HCPs), (b) interviews with those patients (N = 17)and (c) interviews with those HCPs (N = 7). HCPs were not trained in SDM before the study. Audio recordings were transcribed literally. Transcriptions were analysed using qualitative thematic analysis. Outcome information was hardly discussed with patients, apart from clinical outcome information at an individual level, such as MRI or lab results. This use of clinical outcome information did not automatically lead to a process of SDM. HCPs tended to implicitly present choices to patientsafter signalling and discussing 'problems'. In the interviews, patients indicated that they tended to consent to the advice given by HCPs and to prefer not too much change in treatment plans. However, they also emphasized the importance of being informed about available options with benefits and harms. We observed multiple discussions about patients'preferences, especially related to patients'experiences and priorities. Overall, SDM and the use of different types of outcome information did not seem to be enacted in routine care management for people with MS, mostly because choices werenot explicitly mentioned or discussed. However, discussions about patients'experiences and priorities did take place. Training HCPs further and developing patient information seem reasonable steps to proceed. People with MS contributed as research participantsand provided us with their experiences in interviews. Furthermore, representatives of two patient organizations contributed to the study by reviewing the interview protocol for people with MS.

Experience of the Use of AI Conversational Agents Among Low-Income Older Adults Living Alone

There is little research exploring the experiences of using artificial intelligence (AI) conversational agents among low-income older adults living alone. To address this gap, we conducted a qualitative research study, analyzing data from 18 older adults who utilized AI conversational agents while living alone. Our focus was on exploring the perceived benefits and satisfaction of older adult users with these AI conversational agents. We identified two primary categories of perceived benefits: instrumental/functional and emotional aspects. Among the instrumental benefits, participants shared how using “Arya (the AI speaker used in the study)” positively impacted their daily living, enabling them to find and manage diverse information, enhance communication skills, and aid in memory recovery and maintenance. On the emotional benefits, participants reported experiencing positive affect, a sense of security, and feelings of gratitude and happiness. Significantly, participants felt that the intended purpose of using an AI conversational agent was achieved, resulting in a high level of satisfaction. The support from information and communication technology (ICT) managers who provided technical assistance and the availability of free services using the AI conversational agents further contributed to their satisfaction. The use of ICT to improve the quality of life from the perspective of older adults living alone makes a significant contribution to the literature. Given the rapidly aging society in South Korea and worldwide, this intervention provides a valuable support system with practical and psychosocial benefits, promoting the health and safety of older adults living alone.

Evaluating growth and exploitation dynamics of Thunnus albacares for sustainable fisheries in fishery landed in Bali's Benoa Harbor

Abstract. Lelono TD, Bintoro G, Setyanto A, Sutjipto DO, Tumulyadi A, Adhihapsari W, Sari WK, Rihmi MK, Aliviyanti D, Isdianto A, Putri ADR. 2024. Evaluating growth and exploitation dynamics of Thunnus albacares for sustainable fisheries in fishery landed in Bali's Benoa Harbor. Biodiversitas 25: 2858-2869. This study aims to analyze the population dynamics of Thunnus albacares (Bonnaterre, 1788), particularly focusing on factors such as length-weight relationships, length frequency distribution, first caught size, gonadal maturity size, growth rate, mortality rate, and exploitation rate. The analysis, conducted using FISAT II software with data from 2018 to February 2022, also includes evaluating fish utilization status. This evaluation involves estimating Allowable Biological Effort (ABE), Allowable Biological Catch (ABC), and Total Allowable Catch (TAC) based on yellowfin tuna (T. albacares) production data from 2012 to 2021 in Bali’s Benoa Harbor. These parameters and analyses are crucial for maintaining the sustainability of catch utilization. This will be achieved using the Feedback Harvest Control Rules (FHCR) with a random sampling method. The length-weight relationship analysis yielded positive allometric growth (b>3), influenced by genetic, environmental, reproductive, and overexploitation factors. The initial catch size value (Lc50%) was determined to be 134.7 cmFL, while the gonadal maturity size (Lm) was estimated to be 103.3 cmFL. Therefore, it is paramount to refrain from fishing before reaching reproductive maturity to ensure the stock's survival. The asymptotic length (L?) was estimated at 235.45 cmFL, t0 -2.91, with a growth rate (K) of 0.20. This indicates a relatively slow growth rate, which is important information for effective fisheries management. The exploitation rate (E) of 0.88 per year indicates overexploitation. Hence, the need for sustainable fishing practices should be noted in certain areas. Applying the FHCR model provides insights into stock estimation and sustainable management strategies that are of value in informing the development of more careful management practices.

Assessing Future hydrological response of an urban watershed using machine learning based LULC forecasting models

Urbanization in terms of land-use/cover (LULC) change has a long-term significant impact on the hydrological cycle as the LULC is one of the most important influencing parameters to produce curve number (CN). The drastic change in LULC changes the CN. This change directly affects surface water including peak flows. This study aims to assess the change in surface runoff due to changes in LULC. Hydrological modeling is done for the consistent long-term behavioral study of surface runoff. The area focused on the study is the Kharun river, a tributary of the Mahanadi River. For the assessment of the impact of LULC change on the catchment discharge, a daily-step conceptual model soil and water assessment tool (SWAT) was applied. Landuse maps were prepared with the Landsat Thematic Mapper satellite images. The future land use was forecasted with the technique of spatial statistical modeling. The machine learning (ML) tool is used for quantifying the influences on the LULC change dynamics and producing the LULC map for 2024 and 2030. Remote sensing (RS) and geographic information system (GIS) analysis were coupled with hydrological SWAT modeling to investigate the connection between the LULC change and hydrologic regime. The SWAT Model’s calibration efficiency is verified by comparing the simulated and observed discharge time series at the Patharidih gauge and discharge station. The monthly and daily calibrations were quite satisfactory, with Nash-Sutcliffe an efficiency coefficient of 0.86 and 0.67. This modeling provides reliable information for sustainable management of available water resources of the catchment.

Intensi Masyarakat terhadap Pariwisata Berkelanjutan

This article aims to identify factors that influence tourists' intention to visit sustainable tourism destinations in Penglipuran Tourism Village. This research uses the theory of planned behavior which is expanded by adding moral reflectiveness variables. The research method used is quantitative with a purposive sampling technique, where data were collected through questionnaires distributed via Google Forms to 144 respondents. Data analysis was conducted with partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. The results showed that subjective norm, perceived behaviour control, and moral reflectiveness variables positively influence the intention to visit sustainable tourism in Penglipuran Village. In contrast, the attitude variable does not affect the intention to visit sustainable tourism in Penglipuran Tourism Village. The implication of this research is expected to provide information for tourism managers and the government to increase visits to Penglipuran Tourism Village through promotion through influencers, improving facilities, and education about sustainable tourism.

Perceived environmental uncertainty and job involvement: the mediating role of digital technology and organizational trust - a cross-sectional study in primary care facilities in the UK

BackgroundDigital maturity can help primary care facilities enhance their processes, communication, and adaptability to change, thereby fostering trust and job involvement. This study aimed to examine the causal relationships between perceived environmental uncertainty, digital maturity, organizational trust, and job involvement among managers of primary care facilities in the UK. The researchers applied socio-technical theory to examine the consequences of technology implementation on work practices and utilized contingency theory to ensure long-term stability in primary care facilities.MethodsThe study was conducted in the second quarter of 2023, surveying 200 managers from primary care facilities in the UK. The survey was conducted using a computer-assisted web interview (CAWI) method based on a purchased panel of respondents. Data were analyzed using descriptive statistics and structural equation modeling.ResultsThe results showed that perceived environmental uncertainty moderately impacts digital maturity. A greater level of perceived environmental uncertainty is related to greater organizational digital maturity, although perceived environmental uncertainty explains only 15.0% of the variance in digital maturity. The analysis also showed that the impact of digital maturity on organizational trust is positive, significant, and strong, while its impact on job involvement is positive and significant but rather moderate. Moreover, digital maturity mediates the relationship between environmental uncertainty and job involvement among managers of primary care facilities. The weakest link in the model is the connection between organizational trust and job involvement.ConclusionsThe analysis showed that digital maturity is key in shaping organizational trust in primary care facilities and job involvement among their managers. As organizations progress in their digital capabilities, they are better positioned to cultivate trust within their structures. The results of this research contribute to the literature on human resource management in the healthcare sector by deepening knowledge about the impact of environmental uncertainty and digital transformation on organizational trust and job involvement. This study provides important policy information for managers who seek tools to mitigate the adverse effects of environmental uncertainty and want to increase job involvement within primary care facilities.

Global spatial and temporal dynamics of the green water coefficient and analysis of factor from 1992 to 2020

In recent years, the impacts of climate change have variably affected the global ecological environment, exacerbating water scarcity and related issues. Meantime, as part of soil evapotranspiration and plant transpiration in water resources, green water is of great significance in stabilizing the global water cycle and promoting the sustainable development of agriculture. Therefore, the green water coefficient in this study calculates the conversion rate of precipitation to green water, which is important for the balance between blue and green water and the stability of the ecological environment. Based on trend analysis methods and Geodetector, this study analyses the spatial and temporal characteristics and driving mechanisms of the green water coefficient on the globe and on each land-use type from 1992 to 2020. The findings revealed that: (1) The global green water coefficient is clearly spatially differentiated, showing certain latitudinal distribution differences, with the lowest near the equator. The areas with higher green water coefficients are mainly in northern and southern Africa, central Asia, Oceania and northern and western North America, while the areas with lower green water coefficients are concentrated in northern South America and Southeast Asia. (2) The global average value of green water coefficient decreases before increasing. Except for water, the green water coefficient of other land use types (crop land, forest land, grassland, urban land, unused land) changes significantly and there are fewer abrupt change points. Areas where the green water coefficient is too low and changes drastically are not suitable for rainfed agriculture. (3) Different influential factors act on the green water coefficients of different land use types, and there is a two-factor enhancement and non-linear enhancement relationship between them, with a combination of factors affecting the green water coefficient. By studying the characteristics of the green water coefficient globally and across different land use types, we quantified the influence of climate factors such as precipitation, temperature, wind speed, evapotranspiration, radiation, etc., on the green water coefficient, thereby providing some information for future global rain-fed agriculture and water resources management.

High Aluminum content in the aquifer of Camaçari industrial pole, state of Bahia, Brazil: Correlation with natural and anthropogenic environmental factors using multivariable analysis

<p class="MsoNormal">This work used multivariable analysis to correlate groundwater high aluminum content in the area of the Liquid Effluent Treatment Center—CETREL of the Camaçari Industrial Pole, with natural environmental factors: geology, hydrogeology, precipitation, soil and vegetation; and anthropic: equipments of treatment and disposal of industrial waste from CETREL. This company made available data from 99 monitoring wells, period 2006–2016, with aluminum content above (0.2mg/L) the limit established by the Ministry of Health Ordinance Nº 888, 5 April 2021. Previous studies have indicated that there is no correlation of aluminum in groundwater of the Camaçari Industrial Pole with other metallic contaminants; also, that aluminum in the studied region is disseminated in the geological matrix, clayey soils, and poor and leached Cerrado soils. The Kruskal-Wallis test indicated significant correlation of high aluminum content with the treatment/disposal areas, geology, soil and vegetation; and no correlation with precipitation and hydrogeology. The four environmental factors indicating the highest average aluminum content (±C<sub>95%</sub>), in descending order, are: Clayey Soils, Organic Sludge Farm I, Marizal Formation, and Herbaceous-Subshrub Vegetation. The multivariable analysis indicated that, the most influential factors on the high aluminum content in groundwater of the CETREL region, are all ultimately associated with the leaching of aluminum present in the solid matrix. As CETREL processes are not correlated with aluminum residues, the results were an important information for the company environmental managers.</p>

High Aluminum content in the aquifer of Camaçari industrial pole, state of Bahia, Brazil: Correlation with natural and anthropogenic environmental factors using multivariable analysis

<p class="MsoNormal">This work used multivariable analysis to correlate groundwater high aluminum content in the area of the Liquid Effluent Treatment Center—CETREL of the Camaçari Industrial Pole, with natural environmental factors: geology, hydrogeology, precipitation, soil and vegetation; and anthropic: equipments of treatment and disposal of industrial waste from CETREL. This company made available data from 99 monitoring wells, period 2006–2016, with aluminum content above (0.2mg/L) the limit established by the Ministry of Health Ordinance Nº 888, 5 April 2021. Previous studies have indicated that there is no correlation of aluminum in groundwater of the Camaçari Industrial Pole with other metallic contaminants; also, that aluminum in the studied region is disseminated in the geological matrix, clayey soils, and poor and leached Cerrado soils. The Kruskal-Wallis test indicated significant correlation of high aluminum content with the treatment/disposal areas, geology, soil and vegetation; and no correlation with precipitation and hydrogeology. The four environmental factors indicating the highest average aluminum content (±C<sub>95%</sub>), in descending order, are: Clayey Soils, Organic Sludge Farm I, Marizal Formation, and Herbaceous-Subshrub Vegetation. The multivariable analysis indicated that, the most influential factors on the high aluminum content in groundwater of the CETREL region, are all ultimately associated with the leaching of aluminum present in the solid matrix. As CETREL processes are not correlated with aluminum residues, the results were an important information for the company environmental managers.</p>