Change Management Research Articles

Assessment of Species Composition, Diversity and Carbon Stock in a Community Managed Forest of Udaypur District of Nepal

Species composition, diversity, and carbon sock of forests are all critical factors that affect the ability of forests to provide various important ecosystem services. However, there is a notable dearth of research regarding these factors in the community forests of Udaypur district. Therefore, this research was undertaken to assess species composition, and biodiversity and quantify the carbon stock potential of the Sringar community forest (CF) of the Udaypur district of Eastern Nepal. A total of 57 circular plots of 500m2 were inventoried using a systematic random sampling method with 0.5 % sampling intensity. In the CF, 17 tree species from 15 genera and 11 families were identified. The dominant tree species, Shorea robusta observed with a maximum importance value index (IVI) (176.15). According to our study, the total biomass and carbon stock in Sringar CF were 276.98 ton ha-1 and 138.18 ton ha-1, respectively. Accurate estimation of soil carbon stocks is crucial for long-term forest management and climate change mitigation, and the integration of advanced monitoring techniques and predictive models to enhance accuracy and account for future climate projections is needed.

Improved remote sensing reference evapotranspiration estimation using simple satellite data and machine learning

Reference evapotranspiration (ET0) estimation is crucial for efficient irrigation planning, optimized water management and ecosystem modeling, yet it presents significant challenges, particularly when meteorological data availability is limited. This study utilized remote sensing data of land surface temperature (LST), day of year, and latitude, and employed a machine learning approach (i.e., random forest) to develop an improved remote sensing ET0 model. The model performed excellently in 567 meteorological stations in China with an R2 of 0.97, RMSE of 0.40, MBE of 0.00, and MAPE of 0.11 compared to the FAO-PM ET0; it also performed well globally, yielding an average R2 of 0.97 and RMSE of 0.43 across 120 sites in mid-latitude (20°-50°) regions. This model demonstrates simplicity, accuracy, robust and generalization, holding great potential for widespread application, especially in the large-scale, high-resolution estimation of ET0. This study will contribute to advancements in water resources management, agricultural planning, and climate change studies

Change Management of Population’s Employment in Information Society 5.0: SAP–LAP Model for Sustainable Development

Change Management of Population’s Employment in Information Society 5.0: SAP–LAP Model for Sustainable Development

Incidence, identification and antibiotic resistance of Salmonella spp. in the well waters of Tadla Plain, Morocco

Concerns about challenges with water availability in the Tadla Plain region of Morocco have grown as a result of groundwater contamination brought on by human activity, climate change, and insufficient groundwater management. The objective of the study is to measure the number of resistant bacteria in the groundwater of Beni Moussa and Beni Aamir, as well as to evaluate the level of water pollution in this area. 200 samples were therefore gathered from 43 wells over the course of four seasonal campaigns in 2017 and 2018. Additionally, the samples were examined to determine whether Salmonella species were present and if they were resistant to the 16 antibiotics that were tested. Salmonella spp. have been identified in 31 isolated strains in total, accounting for 18.02% of all isolated strains. Data on antibiotic resistance show that 58.1% of Salmonella spp. strains are multidrug-resistant (MDR); 38.7% of Salmonella strains are tolerant to at least six antibiotics, 19.4% to at least nine antibiotics, 9.7% to four to seven antibiotics, 6.5% to at least eleven antibiotics, and the remaining 3.2% to up to twelve antibiotics. A considerable level of resistance to cefepime (61.29%), imipenem (54.84%), ceftazidime (45.16%), ofloxacin (70.97%), and ertapenem (74.19%) was found in the data. Consequently, it is important to monitor and regulate the growth of MDR in order to prevent the groundwater's quality from declining.

Interactive effects of soil salinity and nitrogen fertilizer types on nitrous oxide and ammonia fluxes

Soil salinization, impaired by climate change and poor management practices, poses a global threat, particularly in arid and semi-arid regions, leading to significant land degradation. This study aims to investigate the effects of different nitrogen (N) fertilizer sources (urea, ammonium-sulfate, and biogas waste) on CO2, N2O, and NH3 emissions and soil enzyme activities in two soil types varying in salinity level (non-saline: EC = 1.15 dS m−1, and saline: EC = 35.80 dS m−1) in a robotized continuous-flow soil incubation system. Our results showed a sharp increase in N2O and CO2 emissions (up to 0.51 ± 0.02 g N2O-N ha−1 day−1, 28.1 ± 3.9 kg CO2-C ha−1 day−1) in non-saline soils following soil rewetting, attributed to bacterial denitrification. However, this pattern was not observed in saline soils, suggesting that salinity causes partial inhibition to the regeneration of soil organic matter mineralization and denitrification processes after rewetting. Although salinity did not alter the overall cumulative N2O losses in any fertilizer treatment, it significantly delayed the evolution of N2O peak during the incubation period. On the other hand, NH3 volatilization was significantly higher in N-fertilized saline soils compared to non-saline soils (241% and 157% in ammonium-sulfate and biogas waste treatments, respectively), except for urea treatment, likely due to the decrease in nitrification rates. Furthermore, the study clearly showed lower soil enzyme activity levels for both nitrate reductase and urease activity. Interestingly, the lowest NH3 emissions were measured in urea treatment in both soils. Overall, our findings highlight the complex interplay between soil salinity, nitrogen fertilizer sources, and microbial processes, significantly influencing gaseous nitrogen emissions and N cycling in agricultural soils. Identifying the specific fertilizer treatments that minimize or maximize gaseous nitrogen losses in varying soil salinity, may guide the selection of appropriate fertilization strategies for farmers and policymakers to mitigate environmental impacts of fertilizer use during agricultural production.

High-resolution estimates of water availability for the Iberian Peninsula under climate scenarios

Water availability is of paramount importance for sustainable development and environmental planning, specifically in regions such as the Iberian Peninsula, renowned for diverse landscapes and varying climatic conditions. Due to climate change, understanding the potential impacts on water resources becomes essential for effective water management strategies. This research effort aims to assess future potential water availability for the Iberian Peninsula in different climate scenarios, employing cutting-edge water resource modelling techniques integrated within a geographic information system (GIS) framework. In this study, potential water availability is defined as the annual demand for water that can be satisfied at a specific point in the fluvial network with certain reliability. An ensemble of state-of-the-art climate models is utilised to project runoff for the Iberian Peninsula during the mid- and late-twenty-first century periods. These climate projections were subsequently processed using the GIS-based water resource management model, WAAPA, to derive potential water availability under a range of realistic hypotheses. The results indicate that anticipated shifts in precipitation patterns will lead to alterations in hydrological regimes across the region, significantly impacting future water availability. By using GIS-based methodologies, we can facilitate the identification of vulnerable areas susceptible to changes in water availability, offering spatially explicit information along the main rivers of the Iberian Peninsula for decision-makers and stakeholders. High-resolution spatial outputs from this research and detailed water availability estimates serve as valuable input for integrated water resource management and climate change adaptation planning. By combining advanced GIS-based hydrological modelling with climate scenarios, this research presents a robust framework for assessing water resources amidst a changing climate, applicable to other regions struggling with analogous challenges. Ultimately, our study provides vital insights for policymakers and stakeholders, empowering them to make informed decisions and devise adaptive measures to ensure sustainable use of water resources despite uncertain future climatic conditions.

Complete characterization of the fatty acid profile of mare milk from commercial semi-extensive farms during lactation

The present study aimed to thoroughly describe the profile of fatty acids in mare milk from farms with different management systems and changes during lactation. Eighteen mares belonging to three commercial farms (6 mares per farm) were milked during the complete lactation period (six months). Fat content was determined by infrared spectroscopy, while fatty acid methyl esters were analyzed using a GC-FID. Mare milk, in general, contained 47.5 % saturated, 25.3 % monounsaturated, and 26.5 % polyunsaturated fatty acids. A high proportion of 18:2n-6 and 18:3n-3 but a low concentration of their long-chain metabolites was observed, and seven branched-chain fatty acids were identified. Stage of lactation significantly influenced the content of most individual fatty acids, and in general, milk from mares managed under pasture-based feeding systems showed a higher content of n-3 polyunsaturated fatty acids. This study provides new insights into mare milk FA composition and into dynamics of mare milk nutritional quality as affected by lactation stage and grazing intensity.

Innovative Seed Treatment for Cassia siamea Lam. Germination and Carbon Stock Analysis in Varied Stem Sizes for Sustainable Land Management and Climate Change Mitigation

Innovative Seed Treatment for Cassia siamea Lam. Germination and Carbon Stock Analysis in Varied Stem Sizes for Sustainable Land Management and Climate Change Mitigation

Adapting of Mental Healthcare Facilities to the COVID-19 Challenges

The healthcare sector is one of the largest in the US economy (generating about 18% of GDP). It is the main employer of American workers. Unfortunately, it has been one of those most affected by the COVID-19 pandemic, as certain medical services had to be suspended under strict quarantine (at least 150 hospitals in the US were forced to send employees on leave or dismiss them, primary care practices reported a 70% decrease in the number of patients). The purpose of the article is to analyse challenges in the US healthcare sector during COVID-19 and to justify ways to overcome these challenges (on the example of the Life Chance Mental Health Medical Group, a leading provider of mental health services in the US with a strong regional network, established good reputation and a wide and loyal customer base). The case of this company was chosen in this context based on the fact that, as the SWOT analysis in the article showed, during the COVID-19 pandemic, the greatest vulnerabilities of medical institutions in the mental health sector are related to the quality of basic services (face-to-face therapy sessions). That is significantly reduced if provided online. In order to operate effectively even during epidemics and pandemics, companies in this specific area should expand partnerships with telemedicine platforms, transform their product portfolio, and ensure that their doctors’ qualification profiles meet the requirements of remote therapy. The article analyses the mechanisms for overcoming pandemic challenges in mental healthcare facilities using the postulates of transformational leadership theory, change management theory, theory of constraints, and organisational culture theory.

Addressing High Nursing Turnover: Analysis of Theoretical Concepts and Case Study

The article contains a systematic review of the scientific literature on the nurse turnover problem. It is analysed from two perspectives. Firstly, the topic of employees is discussed (increased workload, inconsistency of salary with the amount of work performed, standards for the number of patients assigned to one nurse, job dissatisfaction, limited opportunities for career growth and professional development, professional burnout, unregulated rest time between shifts, etc.). Secondly, medical institution is described (shortage of medical staff leads to a decrease in patient satisfaction, loss of care quality, increased waiting time for services, review of safety and patient care protocols, reduction in the number of patients who can receive medical care or consultation, which causes a decrease in hospital revenue, hinders organisational growth, raises the cost of additional recruitment, leads to medical errors that turn into lawsuits in future, etc.). In addition to personal and financial reasons, the medical staff turnover is often caused by purely organisational imbalances (in particular, the lack of a teamwork atmosphere in the hospital, an ineffective leadership model, an imperfect and stressful working environment, poor working conditions, poor relations between doctors and nurses, etc.). The article represents mechanisms for applying provisions of a number of theories and models to address the nurse turnover problem. Among examples, there are leadership models – the contingency theory (concepts of adaptation, equivalence, effectiveness and congruence), the organisational culture theory like Hofstede’s corporate culture theory (concepts of power distance, uncertainty avoidance, male / female values, collectivism / individualism, long-term / short-term orientation, indulgence / restraint), the change management theory like the Plan-Do-Study-Act cycle theory. Tenet Healthcare, Inc. was selected as a case study. One of the well-known and largest healthcare organisations in the United States, it has been experiencing significant problems with the nurse turnover since 2006, which is currently over 50% and higher than the industry average. Given the size of this organisation and its leading position in the US healthcare market, this problem poses a significant threat to the market as a whole, and Tenet Healthcare, Inc. is in immediate need of a comprehensive plan to address it.

Greenhouse gas emissions and nutrient use efficiency assessment of six New York organic dairies

Improving nutrient use efficiency and reducing greenhouse gas (GHG) emissions are important environmental priorities for organic-certified dairy operations. The objectives of this research were to quantify annual nutrient use and GHG emissions in 6 organic New York dairy farms. Farm-gate nutrient mass balances (NMB) were estimated with the Cornell NMB calculator. Whole-farm GHG emissions were estimated using Cool Farm Tool (CFT) and COMET. Farm-gate NMBs were low, ranging from -6.5 to 19 kg N ha-1 for N1 (without legume N fixation), 26 to 71 kg N ha-1 for N2 (including N fixation), -2.4 to 8.2 kg P ha-1 for P, and 1.1 to 19.8 kg K ha-1 for K. Additional nutrient imports, coupled with nutrient management planning, adequate legume stands and diet balancing may help improve P balances, and ensure no N deficiencies in the system. Estimates of annual GHG emission intensity ranged from 0.98 to 2.10 kg CO2-eq per kg of fat and protein corrected milk (FPCM) estimated by CFT, and from 0.69 to 2.48 kg CO2-eq kg FPCM-1 estimated by COMET. Enteric fermentation, feed production and fuel and energy use represented the largest sources of GHGs. For farms with liquid manure storages, manure management was also a significant source. Estimates of soil carbon (C) stock changes from CFT were in agreement or smaller than previous studies, and estimates from COMET were in agreement or greater. Variability and uncertainty in the results for soil C stock change indicate more research and new protocols are needed. Impact of individual management changes on GHG emissions intensity were small, ranging from -8 to +7% in CFT, and -8% to +8% in COMET. The management changes that resulted in the largest reductions in GHG emissions intensity included increasing individual cow productivity and milk to total feed ratio, and implementation of manure treatment systems.

Racial differences in serological markers across the first year of injury in spinal cord injury: a retrospective analysis of a multi-center interventional study

Study designSecondary analysis of a randomized, multi-center, placebo-controlled study(Sygen®).ObjectivesTo evaluate racial differences in serological markers in individuals with spinal cord injury(SCI) across the first year of injury.SettingHospitals in North America.MethodsSerological markers (e.g.,cell count, liver, kidney, and pancreatic function, metabolism, and muscle damage) were assessed among 316 participants (247 White, 69 Black) at admission, weeks 1, 2, 4, 8, and 52 post-injury. Linear mixed models were employed to explore the main effects of time, race (Black vs. White), and their interaction, with adjustment of covariates such as study center, polytrauma, injury (level, completeness), treatment group, and sex.ResultsA main effect of race was observed where White individuals had higher alanine transaminase, blood urea nitrogen(BUN), BUN/Creatinine ratio, sodium, and chloride, while Black individuals had higher calcium, total serum protein, and platelets. For markers with interaction effects, post-hoc comparisons showed that at week 52, White individuals had higher mature neutrophils, hematocrit, hemoglobin, mean corpuscular hemoglobin, albumin, and triglycerides, and Black individuals had higher amylase. Eosinophils, monocytes, red blood cells, aspartate aminotransferase, bilirubin, cholesterol, partial thromboplastin time, urine specific gravity, urine pH, CO2, and inorganic phosphorus did not differ between races.ConclusionsOur results revealed racial differences in serological markers and underscores the importance of considering race as a determinant of physiological responses. Future studies are warranted to explore the causes and implications of these racial disparities to facilitate tailored clinical management and social policy changes that can improve health equity.

Capital controls and trade policy

How does optimal capital-flow management change with prevailing trade policies? We study the joint optimal determination of capital controls and trade tariffs in a two-country, two-good model with trade in goods and assets. Because countries are large in both markets, a country-planner can achieve higher domestic welfare by departing from free trade in addition to levying capital controls, despite the cooperative optimal allocation being efficient. However, time variation in the optimal tariff induces households to over- or under-borrow through its effects on the path of the real exchange rate. As a result, optimal capital controls are generally smaller when trade policy is constrained (i.e., by a Free-Trade Agreement), but, absent retaliation, can be larger depending on the paths of underlying fundamentals.

The making of the Chinese urban landscape: Exploring a framework for analysis

Despite sociopolitical changes, urban landscape heritage has traditionally been valued in Chinese society. However, in the past two to three decades, intensifying pressures for urban redevelopment have created major challenges to urban landscape management. While the management of urban landscape change has focused on landscape-based conservation techniques, urban landscape characterization and assessment, and urban landscape planning, its theoretical and practical foundations remain to be clarified. In connection with the epistemological orientations of landscape in both China and the outside world, this article proposes a new conceptual framework comprising a triad of structural-correlative, morphogenetic-generative, and integrated perspectives for the study and management of urban landscape heritage in China.

Political ecology of tourism: A bibliometric analysis

The tourism sector significantly impacts global environmental change and resource management. The social and economic aspects of tourism are also worthy of examination from the political ecology perspective. In this context, there is a growing need for academic studies examining tourism’s environmental, social, and economic components. This study is conducted to meet this need and provide an in-depth analysis of the works on political ecology in tourism. This research aims to assess scholarly investigations within the tourism domain employing a political ecology framework, utilizing bibliometric analysis as the methodological approach. Within this scope, publications in the literature have been quantitatively examined, and the studies’ prevalence, interactions, and developmental trends have been revealed. The WoS database identified 192 studies published between 1998 and 2023 on the subject. The analysis of leading journals, authors, countries, and keywords related to the topic indicates the following: There has been a noteworthy surge in the number of scholarly inquiries about political ecology within the scientific realm associated with tourism. In addition, the leading country on the subject is the United States. Finally, conservation and ecotourism become the main focal points of studies on political ecology. In summary, it is anticipated that this study will provide a substantial contribution to the existing literature in the domain of political ecology within the context of tourism, offering guidance for researchers in the design and execution of subsequent studies.

Assessing small hydropower viability in water-scarce regions: environmental flow and climate change impacts using a SWAT+ based tool

Water-scarce regions, like the Mediterranean, face worsening conditions due to climate change, intensifying pressure on key economic sectors such as hydropower. Additionally, environmental conservation policies, particularly the implementation of environmental flows, present challenges for hydropower systems. Certainty regarding the impact of these factors on future hydropower production is crucial for informed decision-making in the transition to sustainable energy. This study introduces S + HydPower, a tool coupled with SWAT+ to assess climate change and watershed management effects on small hydropower plant (SHP) systems. In this study, we used this tool to investigate the consequences of implementing environmental flows and climate change on run-of-river SHPs in the Catalan River Basin District (CRBD), in Catalonia. The results show that applying environmental flows would lead to a significant 27% reduction in SHP production. However, this reduction would represent only 0.25% of the region’s current energy demand. Furthermore, the study reveals a potential 38% to 73% reduction in SHP production by the end of the twenty-first century due to the combined effects of environmental flows and climate change. This suggests a substantial decline in run-of-river SHP’s contribution to the CRBD’s electricity supply. These findings emphasize the need to explore alternative and sustainable energy sources to ensure the long-term reliability and resilience of the region’s energy supply.

Experiences of Teachers Implementing the Standards-Based Curriculum in La-Nkwantanang, Ghana: Should the Experiences be Overlooked?

Abstract Pre-tertiary teachers in La-Nkwantanang, Ghana, have raised concerns about how the lack of training, consensus, and resources affect the implementation of a standards-based curriculum. This study employed Knoster’s (1991) change management theory to evaluate teachers’ concerns about the implementation of the Ghanaian curriculum. Few studies have examined teachers’ concerns in Ghana (Apau 2021). This qualitative study used a descriptive phenomenological design. La-Nkwantanang is a municipality in Accra, Ghana. The participants included a circuit supervisor, a head teacher, and seven teachers. Interviews, document analysis, and observations were used to collect data. The findings affirmed that when there is a lack of consultation, training, and resources, teachers have challenging experiences that can affect curriculum implementation. Teachers recommended for curriculum evaluation, retraining, narrowing the curriculum, parental involvement, and provision of resources. The results revealed that the Knoster (1991) model is effective for evaluating teachers’ concerns, and such concerns should not be overlooked.

Bulk water services delivery challenges in the Dr. Ruth Segomotsi Mompati district municipality in South Africa's North West Province

AbstractThis study thoroughly examines the difficulties in providing bulk water services in Dr. Ruth Segomotsi Mompati district municipality in the North West Province, with the end goal of giving comprehensive suggestions for operational and strategic improvements. The study adopted a qualitative research approach, employing semistructured interviews for gathering data from officials of various municipalities responsible for overseeing infrastructure within the geographical confines of the municipalities they serve. The findings identified themes indicative of the focus areas contributing to the bulk water services delivery challenges. These emphasized the importance of fostering a collaborative work environment, thus promoting organizational learning, and implementing effective change management to elevate service delivery standards. It identifies the necessity for heightened operational efficiency and advocates for a cultural shift within municipal operations. Strategic planning, marked by the creation and regular refinement of master plans, is highlighted alongside the implementation of robust project management practices. The study emphasizes the critical need for synchronizing municipal planning processes with statutory requirements and the changing demands of the local community. The research advocates for a flexible and responsive approach to master planning, which is indispensable for adapting to shifts in administrative frameworks and community needs. The study recommends the development of a dynamic master plan for water services, one that is regularly reviewed and updated to reflect the evolving legislative landscape and community priorities. It also suggests that municipal authorities should ensure that the planning process remains inclusive and responsive to the residents' needs. Furthermore, training and capacity‐building initiatives for municipal officials could be instrumental in enhancing their ability to adapt to these changing demands and legislative environments.

Developing a tile drainage module for the Cold Regions Hydrological Model: lessons from a farm in southern Ontario, Canada

Abstract. Systematic tile drainage is used extensively in poorly drained agricultural lands to remove excess water and improve crop growth; however, tiles can also transfer nutrients from farmlands to downstream surface water bodies, leading to water quality problems. Thus, there is a need to simulate the hydrological behaviour of tile drains to understand the impacts of climate or land management change on agricultural surface and subsurface runoff. The Cold Regions Hydrological Model (CRHM) is a physically based, modular modelling system developed for cold regions. Here, a tile drainage module is developed for CRHM. A multi-variable, multi-criteria model performance evaluation strategy was deployed to examine the ability of the module to capture tile discharge under both winter and summer conditions (NSE > 0.29, RSR < 0.84 and PBias < 20 for tile flow and saturated storage simulations). Initial model simulations run at a 15 min interval did not satisfactorily represent tile discharge; however, model simulations improved when the time step was lengthened to hourly but also with the explicit representation of capillary rise for moisture interactions between the rooting zone and groundwater, demonstrating the significance of capillary rise above the saturated storage layer in the hydrology of tile drains in loam soils. Novel aspects of this module include the sub-daily time step, which is shorter than most existing models, and the use of field capacity and its corresponding pressure head to provide estimates of drainable water and the thickness of the capillary fringe, rather than using detailed soil retention curves that may not always be available. An additional novel aspect is the demonstration that flows in some tile drain systems can be better represented and simulated when related to shallow saturated storage dynamics.

Ecosystem service multifunctionality of mixed conifer-broad-leaved forests under climate change and forest management based on matrix growth modelling

Climate change and forest management are recognized as pivotal factors influencing forest ecosystem services and thus multifunctionality. However, the magnitude and the relative importance of climate change and forest management effects on the multifunctionality remain unclear, especially for natural mixed forests. In this study, our objective is to address this gap by utilizing simulations of climate-sensitive transition matrix growth models based on national forest inventory plot data. We evaluated the effects of seven management scenarios (combinations of various cutting methods and intensities) on the future provision of ecosystem services and multifunctionality in mixed conifer-broad-leaved forests in northeastern China, under four climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5, and constant climate). Provisioning, regulating, cultural, and supporting services were described by timber production, carbon storage, carbon sequestration, tree species diversity, deadwood volume, and the number of large living trees. Our findings indicated that timber production was significantly influenced by management scenarios, while tree species diversity, deadwood volume, and large living trees were impacted by both climate and management separately. Carbon storage and sequestration were notably influenced by both management and the interaction of climate and management. These findings emphasized the profound impact of forest management on ecosystem services, outweighing that of climate scenarios alone. We found no single management scenario maximized all six ecosystem service indicators. The upper story thinning by 5% intensity with 5-year interval (UST5) management strategy emerged with the highest multifunctionality, surpassing the lowest values by more than 20% across all climate scenarios. In conclusion, our results underlined the potential of climate-sensitive transition matrix growth models as a decision support tool and provided recommendations for long-term strategies for multifunctional forest management under future climate change context. Ecosystem services and multifunctionality of forests could be enhanced by implementing appropriate management measures amidst a changing climate.