Rural Population Research Articles

A comparative study on knowledge, awareness and perception of contraception among rural and urban population in Punjab

In developing countries like India, a lack of awareness about contraceptive methods often leads to misconceptions, limited choices, and improper family planning. This knowledge gap not only disrupts maternal and child health complications but also disrupts the economy of society and the nation. Therefore, the purpose of this study was to investigate the knowledge, awareness and perception of contraception among the rural and urban population in Punjab.This observational study conducted in the Department of Obstetrics and Gynecology at a tertiary health care centre, in Punjab, India. A total of 500 women were evaluated with the help of a pre-designed questionnaire to address knowledge, awareness, and perception of contraception among the rural and urban population in Punjab. The statistical analysis was performed by using SPSS Windows, version 28. In the present study, a total of 492 participants were included, of whom 387 were from rural areas and 105 were from urban areas. This study revealed, 100% of participants were aware of contraception. In terms of the source of information, social circles were identified as the primary channel (46.34%), followed by the media (33.94%), health workers (16.87%), and educational institutes (2.85%).This study highlights contraceptive methods, including condoms, oral contraceptives, and intrauterine devices (IUDs), as primary choices. Therefore, it's important to bridge the gap between awareness and action. Hence, this study, advocate the awareness program on interventions to ensure everyone can access effective family planning resources without barriers.

The digital revolution in India: bridging the gap in rural technology adoption

This study investigates the factors that influence the adoption of digital technology in rural areas of India, with a focus on the Digital India Program (DIP). By analyzing the age distribution, education levels, technology adoption rates, and utilization patterns among rural populations, this research provides insights into the effectiveness of the DIP in targeting specific demographics and promoting digital inclusion. Quantitative data were collected from 400 respondents in Kalahandi District in the Odisha state of India. The data collected were analyzed using SPSS. The findings reveal a predominantly young population in rural India, indicating a workforce with significant economic potential and a higher likelihood of embracing digital technologies. Moreover, the study highlights the high levels of education among respondents, indicating a population well-equipped to understand and benefit from digital initiatives. Unexpectedly, the research shows a higher rate of digital technology adoption among female respondents, challenging the perception of gender disparities in technology access. This finding suggests that the DIP has played a vital role in bridging the gender gap and empowering women in rural areas. Additionally, the study uncovers a trend towards mobile-based services over computer-based services, signaling a shift in technology utilization patterns. This emphasizes the need to prioritize mobile technology and improve connectivity in rural areas to ensure wider access to digital platforms.

Coverage and predictors of COVID-19 vaccination in rural districts of Pakistan

Background: One of the keys to preventing a re-emergence of the COVID-19 pandemic is the attainment and maintenance of high vaccination coverage in urban and rural areas. Aims: To estimate the coverage of COVID-19 vaccination in a rural population and identify the determinants of vaccination. Methodology: A cross-sectional survey was conducted in April 2023 in 5 rural districts of Sindh Province, Pakistan. From each district, 30 clusters (villages) were randomly selected, and 7 households were randomly sampled from each cluster using the 30/7 technique. Household members above 12 years of age were included. Vaccination status was categorized as non-vaccinated, partially vaccinated (either with 1 dose or without booster) and completely vaccinated (2 doses with 1 booster). Adjusted odds ratios with 95% confidence intervals using multinomial logistic regression were computed to determine the factors associated with partial and complete vaccination. Data was analysed using SPSS version 20. Results: Among the 3545 individuals surveyed across 1050 households, 25.9% were not vaccinated, 55.0% were partially vaccinated, and 19.1% were fully vaccinated. Younger age, lack of formal education and residing in flood-affected districts were significantly negatively associated with being vaccinated, while living at > km from a vaccination facility was significantly positively associated with partial and complete vaccination. Residents of Dadu (OR=0.03, 95% CI=0.01–0.04), Jamshoro (OR=0.05, 95% CI=0.03–0.08), Hyderabad (OR=0.03, 95% CI=0.02–0.05), and Tando Allahyar (OR=0.09,95% CI=0.05–0.15) districts were significantly less likely to be completely vaccinated than those in Tharparkar. The most common reasons for not being vaccinated were, the perception that COVID-19 is mild (34.5%), fear of side-effects (22.7%), unavailability of the vaccine (19.8%), and fear of acquiring COVID-19 infection through the vaccine (15.8%). Conclusion: Vaccination coverage was low in some of the districts, particularly the flood-affected districts, mainly due to certain myths. There is a need for community outreaches to debunk myths about COVID-19 vaccination among these rural populations.

Evaluating the Kuznets curve relationship between economic growth and child labor in an emerging economy

PurposeThis study aims to test the Kuznets curve between economic growth and child labor, along with the influence of exports, household size and rural population in the context of Pakistan.Design/methodology/approachTo achieve the research objective, this study applied the unit root test, bound co-integration test, and autoregressive distributive lags (ARDL) method for the period of 1972–2021.FindingsThe findings show an inverted U-shaped relationship between economic growth and child labor indicating that at the beginning stage of economic development, child labor increases due to lower per capita household and subsequently, in the long-run of economic development, child labor decreases due to the higher per capita households. Moreover, the results also show that exports, household size and rural population have a positive influence on increasing child labor.Research limitations/implicationsThe policymakers and government of Pakistan need to focus on long-term economic growth policies, ensure free quality education and cheap equipment which practices minimum manpower to reduce the threat of child labor.Social implicationsHaving long-run economic growth, the government of Pakistan need to equally benefit the households and the poor population to reduce child labor and enhance the social welfare of society.Originality/valueTo the best of the authors’ knowledge, this is the first study that investigates the Kuznets curve relationship between economic growth and child labor in the context of Pakistan. Moreover, this study contributes to the reduction in child labor through long-term economic growth in the context of Pakistan.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0387

Assessment of Nutritional Status And Functional Capacity of Rural Elderly Population In Chattogram, Bangladesh

Background: Bangladesh, like many developing countries, is experiencing population ageing. There is inadequate information regarding the prevalence of malnutrition and functional dependency in community-living rural senior residents in this country. The study aims to determine the nutritional status and functional capacity of the rural elderly population of Chattogram District of Bangladesh and to search for its associated factors. Methods: This community-based cross-sectional study included 213 subjects aged 60 years and over from two Upazilla of Chattogram district by a multistage random sampling technique. Sociodemographic and clinical data were collected using a structured questionnaire, nutritional status was assessed with the Mini Nutritional Assessment-Short Form (MNASF) tool and functional assessment was done using the Modified Barthel self-care index (BSI).Results: The participants’ mean age was 66.1 ± 6.5 years and 51.6 % was female. More than half of the participants (45.4%) were illiterate. The majority of them were living in a joint family with their spouse. About 70% of the participants were from lower socioeconomic classes, 82.2% were not engaged in any vocational activity, 74.6% were entirely dependent economically on others, and 110 (51.6%) had multi- morbidity. The prevalence of malnutrition and risk of malnutrition were 29.9% and 56.8% of the study sample, respectively. About 44% of the participants need help to perform their daily activities. Poor nutritional status was significantly more frequent in elderly subjects aged more than 70 years, in respondents living without a partner, and in older people with multi-morbidity. Conclusion: Poor nutritional status was commonly observed among older adults living in rural areas in Chattogram. The associated factors should be further considered for targeting particularly vulnerable individuals. Bangladesh J Medicine 2024; 35: 76-81

Policy Advice and Decolonisation in Papua New Guinea

This essay examines a moment in Papua New Guinea's history when international advice about the country's future had particular weight. In placing rural areas and populations at the centre of policy prescriptions, the advice fitted neatly with the ambitions of the Indigenous politicians and business people who were taking hold of and shaping state power. Whether the outcome, an independent nation‐state following a policy direction which intended to keep the bulk of the population in the countryside, could reverse the unemployment and disorder which had appeared during late colonialism remained to be seen.

Addressing food insecurity in rural primary care: a mixed-methods evaluation of barriers and facilitators

BackgroundFood insecurity (FI) is associated with negative health outcomes and increased healthcare utilization. Rural populations face increased rates of FI and encounter additional barriers to achieving food security. We sought to identify barriers and facilitators to screening and interventions for FI in rural primary care practices.MethodsWe conducted a mixed-methods study using surveys and semi-structured interviews of providers and staff members from rural primary care practices in northern New England. Survey data were analyzed descriptively, and thematic analysis was used to identify salient interview themes.ResultsParticipants from 24 rural practices completed the survey, and 13 subsequently completed an interview. Most survey respondents (54%) reported their practices systematically screen for FI and 71% reported food needs were “very important” for their patients and communities. Time and resource constraints were the most frequently cited barriers to screening for and addressing FI in practices based on survey results. Interview themes were categorized by screening and intervention procedures, community factors, patient factors, external factors, practice factors, process and implementation factors, and impact of FI screening and interventions. Time and resource constraints were a major theme in interviews, and factors attributed to rural practice settings included geographically large service areas, stigma from loss of privacy in small communities, and availability of food resources through farming.ConclusionsRural primary care practices placed a high value on addressing food needs but faced a variety of barriers to implementing and sustaining FI screening and interventions. Strategies that utilize practice strengths and address time and resource constraints, stigma, and large service areas could promote the adoption of novel interventions to address FI.

АНАЛИЗ ДЕЯТЕЛЬНОСТИ ВРАЧЕЙ-ДЕРМАТОВЕНЕРОЛОГОВ, ОКАЗЫВАЮЩИХ МЕДИЦИНСКУЮ ПОМОЩЬ СЕЛЬСКОМУ НАСЕЛЕНИЮ В РЕСПУБЛИКЕ БАШКОРТОСТАН

Relevance. Currently, there is a low staffing of medical organizations with local doctors and medical specialists, including dermatovenerologists. This determines the low availability of primary medical care for the rural population for diseases of the skin and subcutaneous tissue. Purpose of the study. To analyze the activities of dermatovenerologists in providing primary specialized medical care to the rural population for diseases of the skin and subcutaneous tissue in the Republic of Bashkortostan. Materials and methods. The calculation of indicators characterizing the activities of dermatovenerologists in the Republic of Bashkortostan for 2017-2021 was carried out: the provision of the population with dermatovenereologists, staffing of regular positions of dermatovenereologists, staffing with individuals, part-time ratio, share of visits per one rural resident and one patient with skin diseases, number of visits in connection with the disease, in connection with the preventive purpose. Results. Level of supply of dermatovenerologists in the Republic of Bashkortostan in 2021. amounted to 0.54 per 10 thousand population. In recent years, the provision of dermatovenerologists in the rural population remains low: in 11.1% of rural areas there are no dermatovenerologists, and in 31.5% the level of provision is insufficient. For the period 2017-2021 a decrease in the number of visits to a dermatovenerologist for skin diseases was established by 16.3% (per rural resident from 0.29 to 0.24 visits per resident), as well as a decrease in the number of visits to a dermatovenerologist by 22.0% . (from 4.63 to 3.61 visits per patient). An extremely low volume of telemedicine consultations was revealed, which is a significant factor in reducing the availability of medical care for the rural population. Conclusions. In the Republic of Bashkortostan in recent years, the provision of dermatovenerologists for the rural population remains insufficient. Thus, there is a need to develop measures aimed at improving primary specialized medical care provided by dermatovenerologists to the rural population of the Republic of Bashkortostan.

E-commerce development, poverty reduction and income growth in rural China

PurposeThis research examines the impact of the National Rural E-commerce Comprehensive Demonstration Project (NRECDP) on poverty reduction and income growth in rural China.Design/methodology/approachThe study develops a theoretical framework, which considers the role of geographical, technological, institutional and cultural factors for the e-commerce poverty alleviation (e-CPA) model. Empirically, this study applies the difference-in-differences (DID) model and the event study approach to evaluate the effectiveness of NRECDP on the basis of large-scale county-level and household-level panel data spanning 2010 to 2020.FindingsThe study found that the NRECDP, as a government-led, information and communication technology (ICT)-enabled, market-based program, has led to a significant increase in per capita output of primary industry employees, as well as in the disposable income of rural residents, especially those in national-level poverty-stricken (NP) counties. The interventions of the NRECDP achieved these positive outcomes through transportation and Internet infrastructure improvement, ICT adoption and human capital accumulation in impoverished towns and villages in remote rural areas. These effects are larger in the eastern region of China, followed by the central region, whereas the weakest effects were found in the western region. However, we found little evidence of the NRECDP increasing household developmental expenditure.Research limitations/implicationsThe study findings have important practical and policy implications for rural e-commerce development and self-sustained poverty alleviation solutions. The research revealed the significance of government NRECDP interventions for increasing rural income, reducing living costs, and empowering the rural population in its multiple social roles, namely, as consumers, producers, employees and microentrepreneurs. The local cultural context may also play a role in ICT adoption and entrepreneurship cultivation with a downstream effect on the effectiveness of e-CPA practices. Policymakers would need to ensure a supportive entrepreneur-friendly environment for rural e-commerce development and continue implementing progressive policies for poverty alleviation.Originality/valueThis study explores poverty alleviation issues in China by developing for the first time a multi-faceted framework that is subsequently tested by both county-level and household-level large-scale observations. Also, it is the first study to provide nationwide empirical evidence on the effectiveness of e-CPA in narrowing down the spatial and digital divides in China. In addition to the impact of geography, technology and governmental support, this study also sheds light on the role of culture in the adoption and diffusion of digital technologies and as a source of local entrepreneurial opportunities.

Studying the context of psychoses to improve outcomes in Ethiopia (SCOPE): Protocol paper

Background Global evidence on psychosis is dominated by studies conducted in Western, high-income countries. The objectives of the Study of Context Of Psychoses to improve outcomes in Ethiopia (SCOPE) are (1) to generate rigorous evidence of psychosis experience, epidemiology and impacts in Ethiopia that will illuminate aetiological understanding and (2) inform development and testing of interventions for earlier identification and improved first contact care that are scalable, inclusive of difficult-to-reach populations and optimise recovery. Methods The setting is sub-cities of Addis Ababa and rural districts in south-central Ethiopia covering 1.1 million people and including rural, urban and homeless populations. SCOPE comprises (1) formative work to understand care pathways and community resources (resource mapping); examine family context and communication (ethnography); develop valid measures of family communication and personal recovery; and establish platforms for community engagement and involvement of people with lived experience; (2a) a population-based incidence study, (2b) a case-control study and (2c) a cohort study with 12 months follow-up involving 440 people with psychosis (390 rural/Addis Ababa; 50 who are homeless), 390 relatives and 390 controls. We will test hypotheses about incidence rates in rural vs. urban populations and men vs. women; potential aetiological role of khat (a commonly chewed plant with amphetamine-like properties) and traumatic exposures in psychosis; determine profiles of needs at first contact and predictors of outcome; (3) participatory workshops to develop programme theory and inform co-development of interventions, and (4) evaluation of the impact of early identification strategies on engagement with care (interrupted time series study). Findings will inform development of (5) a protocol for (5a) a feasibility cluster randomised controlled trial of interventions for people with recent-onset psychosis in rural settings and (5b) two uncontrolled pilot studies to test acceptability, feasibility of co-developed interventions in urban and homeless populations.

Current Status of Birth Registration Practice in Nepal

Birth registration is an essential element of civil registration and vital statistics which provide a legal identity and recognize the rights of an individual. In Nepal, birth registration has a long history starting from the Village Panchayat Act 1962 which was the first act with a provision for a birth certificate. Despite the over half-century experience of birth registration efforts, challenges to universal birth certificate coverage remain present, especially among the rural population. This research will investigate the current practices of birth registration in Nepal based on the findings of the National Population and Housing Census 2021. The analysis will show respective rates of birth certificate issuance across the regions, provinces, and development districts. Some areas show remarkable success in birth registration, while others struggle to reach significant coverage levels. The experience shows the critical role of government responsiveness to the development of birth registration which is especially important for rural areas and districts with significant rural populations. In this light, targeted efforts and outreach campaigns are necessary to eliminate barriers, thus guaranteeing equal access to birth registration for all children in Nepal.

Smart Tractor Reinvented for Safe Crops and Pesticides Control

This study addresses the challenges faced by rural Indian agriculture due to labor shortages and the migration of rural populations to urban areas. To mitigate these issues and enhance agricultural productivity, a novel solution is proposed: a GPS-guided autonomous robotic tractor equipped with advanced agricultural functionalities. The system incorporates features such as intruder detection, security measures, irrigation facilities, pesticide spraying, and environmental monitoring capabilities. With agriculture being the primary occupation in many Indian states, the significance of this innovation cannot be overstated. By harnessing autonomous technology, the project aims to optimize crop yields while minimizing labor requirements. The robotic tractor's design integrates basic components including DC motors, intruder sensors, a WIFI camera, and a solar panel for sustainable charging. The mechanical design prioritizes simplicity and functionality to ensure efficient operation in farm fields. Overall, this research contributes to the advancement of smart agriculture in rural India, offering a promising solution to the evolving challenges faced by the agricultural sector

The Great Persecution

The contribution sheds light on a mass witch trial that began in 1661 at the court in Hrastovec. It is related to proceedings initiated a decade later and taking place simultaneously in at least five courts. Those convicted were forced to list the names of many witchcraft meeting participants, which were described with all sorts of demonic imagery. The trials were thus interconnected and kept dragging on because of the confrontations between the accused. Despite the many mass trials, the number of the indicted even exceeded those that were actually put to trial. The proceedings were caused by weather storms, and many people were only tried when a new round of trials followed a storm. The trials were affected by the people’s understanding of the causes of the disasters, conspiracy theories, and various actors such as the rural population affected by the disasters, neighbourly disputes, superstitions, belief in magic, cruel, bloodthirsty judges and their personal motives, and the Inner Austrian government in charge of the criminal justice apparatus.

Deployment of a Phenotypic Characterization System for Effective Identification of the Onset of Asthma Disease

Background Essentially, machine learning techniques help with clinical decision-making by forecasting prediction results based on recent and historical data, which are frequently found in carefully chosen clinical data repositories. In order to uncover hidden patterns in the data, machine learning applies sophisticated analytical techniques that conduct an exploratory analysis while constructing prediction models to support clinical judgment. Objective To effectively identify asthmatics in two distinct cohorts representing India's rural and urban populations by adopting a phenotypic characterization approach. Methods Cross-sectional and categorical in design, the data represent the two populations, with clinical history information emphasizing clinical symptoms and patterns defining the condition. The method adopts a hybrid approach since it uniquely blends the unsupervised and supervised learning techniques to explore the advantages of both. The clustering data emphasizing the phenotypic characteristics of asthma is input to the classifier, and the performance of the classifier was continuously monitored for significant improvement in the results. Results Asthma disease outcome predictions made by the hybrid decision support system were quite accurate, with classification accuracy reaching up to 85.1% and 95.3% for the two datasets, respectively. Conclusion Since asthma is a heterogeneous disease with multiple subtypes, employing clustering information in the form of cluster evaluation scores as an input parameter to the classifiers can effectively predict disease outcomes.

The impact of food production on ecological footprint in Turkey: an analysis across agriculture, livestock, and aquaculture

AbstractThe ecological footprint (ECF), which has been frequently examined recently, offers a comprehensive analysis of the environment and has started to be used in Turkey. However, although it is a significant area of study in the world, food production, that raise the ECF the most, has not been the subject of much research in Turkey. In the present analysis, food production’s impacts on the ECF in Turkey are analyzed with yearly statistics for the period 1961–2018. Within the frame of this analysis, both food production as a whole and agriculture, livestock, and aquaculture production, which are the components of food, were analyzed individually. In this context, four different models were constructed, and the Autoregressive Distributed Lag method was used to analyze. According to the outcomes of the analysis, food, agriculture, and livestock production raise the ECF while aquaculture production diminishes. The largest coefficient among the three sub-sectors belongs to the agriculture sector. In addition, while the use of fertilizers, agricultural land, GDP, population, and life expectancy at birth increases the ECF, the age dependency ratio decreases, and the effect of rural population differs in the models.

Inclusion of Rurality and Social Determinants of Health in Documents for the Primary Prevention of Type 2 Diabetes: A Systematic Review.

Purpose: The type 2 diabetes (T2D) burden is disproportionately concentrated in low- and middle-income economies, particularly among rural populations. The purpose of the systematic review was to evaluate the inclusion of rurality and social determinants of health (SDOH) in documents for T2D primary prevention. Methods: This systematic review is reported following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We searched 19 databases, from 2017-2023, for documents on rurality and T2D primary prevention. Furthermore, we searched online for documents from the 216 World Bank economies, categorized by high, upper-middle, lower-middle, and low income status. We extracted data on rurality and the ten World Health Organization SDOH. Two authors independently screened documents and extracted data. Findings: Based on 3318 documents (19 databases and online search), we selected 15 documents for data extraction. The 15 documents applied to 32 economies; 12 of 15 documents were from nongovernment sources, none was from low-income economies, and 10 of 15 documents did not define or describe rurality. Among the SDOH, income and social protection (SDOH 1) and social inclusion and nondiscrimination (SDOH 8) were mentioned in documents for 25 of 29 high-income economies, while food insecurity (SDOH 5) and housing, basic amenities, and the environment (SDOH 6) were mentioned in documents for 1 of 2 lower-middle-income economies. For U.S. documents, none of the authors was from institutions in noncore (most rural) counties. Conclusions: Overall, documents on T2D primary prevention had sparse inclusion of rurality and SDOH, with additional disparity based on economic status. Inclusion of rurality and/or SDOH may improve T2D primary prevention in rural populations.

Feasibility of continuous glucose monitoring in patients with type 1 diabetes at two district hospitals in Neno, Malawi: a randomised controlled trial

ObjectivesTo assess the feasibility and change in clinical outcomes associated with continuous glucose monitoring (CGM) use among a rural population in Malawi living with type 1 diabetes.DesignA 2:1 open randomised...

Fostering digital equity: evaluating impact of digital literacy training on internet outcomes in rural marginalised communities in India

ABSTRACT Digital literacy (DL) training improves the participants’ digital skills and engagements and achieves desired online benefits and opportunities. However, there remains a gap in understanding whether the acquired skills effectively translate into tangible outcomes. This study explores how digital literacy training programs (DLTPs) serve as solutions to mitigate the impact of the digital divide, particularly among marginalised rural populations. Using the corresponding fields’ model, we explored the internet outcomes achieved post-training, as achieving meaningful outcomes is crucial in the digital age. In-depth interviews of 60 beneficiaries of the PMGDISHA programme, a DLTP run by the Government of India, were conducted, and thematic analysis was performed to identify the internet outcomes based on Helsper’s corresponding fields (2012). The findings demonstrate that training significantly impacts digital engagement and internet outcomes across online fields. However, discrepancies in internet outcomes persist among participants, and these disparities are closely linked to participants’ socio-demographic and economic characteristics. To create a more equitable digital landscape, digital inclusion initiatives must consider these elements and tailor their approaches accordingly. These findings significantly impact policymakers, managers, practitioners, trainers, and researchers in bridging the digital divide and creating a more inclusive digital society.

Climate Change Responses of High-Elevation Polylepis Forests

The high mountain forests on Earth are characterized by sharp environmental heterogeneity, high species endemism, and unique phenotypic adaptations. Yet, global warming is jeopardizing this ecosystem as no other as some forests may have nowhere to go beyond the mountain’s summits. One of the most human-endangered high-elevation ecosystems is the Polylepis forest. Despite its vulnerability, forecasting climate reactions in this distinctive high mountain forest type remains a formidable challenge. Therefore, in this study, we modeled climate change responses of high-elevation allopatric Polylepis sericea and P. quadrijuga (Rosaceae) in the northern Andes. The analysis took into account VIF-prioritized bioclimatic variables for near-to-present and future (2081–2100 MPI-ESM1-2-HR) conditions. Model selection was carried out following the AUC scores of 12 MaxEnt and six machine learning algorithms. Predictive power reached 0.97 for MaxEnt’s model fc.H_rm.1 (H-1). Results indicate a moderate vulnerability of P. sericea, with a 29% loss of area in the trailing edge, due to climate change for the period 2081–2100. On the other hand, P. quadrijuga is likely to experience even larger distribution losses, up to 99%, for the same period. The findings of this study suggest that P. quadrijuga, as compared to P. sericea, exhibits a restricted ability to maintain the corresponding habitat requirements in the face of climatic change. Higher niche specialization of P. quadrijuga in the environmentally heterogeneous Eastern Cordillera contrasts with the more generalist nature of P. sericea in the topographically less complex Central Cordillera. In addition to climate change, this trend may be exacerbated by the detrimental effects of agriculture, mining, and an expanding rural population, which represent significant human-driven pressures yet to be modeled in the northern Andean highlands. Yet, based on previous studies, the historical population dynamics during the past glacial cycles suggests that range shifts could play a more significant role at deeper time scales than previously forecasted in the species’ reaction to climate change. Additionally, Polylepis forests may be able to endure at the current locations via local adaptation and plasticity, major drivers of the phenotypic variation in long-lived trees, counteracting the vulnerability scenario under a niche conservatism hypothesis. Ultimately, the modeling procedure employed in this study provides insights into the potential effects of climate change on Polylepis forests 70 years from now. Oncoming studies may consider alternative responses inherent to the gene pool of the species and the interaction with edaphic and biotic agents. We advocate for the application of comparable estimations in other high-elevation tree communities found at the tree line.

Knowledge management for small-scale agricultural producers: a thematic proposal for strengthening rural economic units

Objective: To establish a thematic proposal for the management of knowledge of small-scale agricultural producers (peasants) and the strengthening of rural economic units in the state of Querétaro, to energize the social fabric and improve the quality of life of the rural population. Design/methodology/approach: A bibliometric study of the scientific production on peasant knowledge in Mexico was carried out, as well as an observational analysis focused on specific and general problems. According to the information obtained and the problems detected, three areas for knowledge management were established: technical-productive, managerial and entrepreneurial. Results: In the technical-productive area, training in good agricultural practices should be addressed, along with technological innovation and the generation of added value. In the management area, issues related with strategic management with a broad entrepreneurial vision that could help create strategies for agribusiness development. Concerning entrepreneurship, the internal and external factors of the environment stand out, which allow awakening their interest, encouraging leadership and direction for business development, in addition to promoting associativity in farming regions. The implementation of the topics proposed in the research will strengthen and boost small-scale agricultural production in the state of Querétaro. Limitations on study/implications: This study can serve as a reference for small-scale agricultural producers (peasant). Findings/conclusions: There is a great opportunity through knowledge management to increase the capacities, knowledge and skills of small-scale agricultural producers (peasants) in the state of Querétaro regarding technical-productive, managerial and entrepreneurial themes, which will generate economic, social and environmental impacts for the benefit of this rural sector.