Regional Strategies Research Articles

Los NODESS en Sinaloa como estrategia para incentivar el desarrollo regional

The Social and Solidarity Economy refers to a group of organizations that through their work promote socioeconomic, cultural and environmental development in a region. This model evokes cooperatives, ejidal communities, savings banks and foundations. In Mexico, the INAES regulates NODESS, defined as alliances between the social sector of the economy, academia and government, which unite their capabilities to have a positive impact on a region. The objective was to analyze the importance of the Social and Solidarity Economy and the relevance of NODESS alliances in Mexico, particularly in Sinaloa, as a regional development strategy. The research was qualitative, with the category study technique supported by the documentary record of digital scientific databases, with search criteria the period of the publications (2018 to 2023) and the keywords. The information was classified into concepts, practices and axes, synthesized and patterns were deduced. To deepen the analysis, a NODESS experience from Sinaloa was integrated. The results highlight the importance of the practices of the Social and Solidarity Economy in the communities and the acceptance of the NODESS in Mexico, the coincident axes were strengthening of productive management, associative entrepreneurship and professionalization of personnel. It is concluded that NODESS alliances are an opportunity to promote the primary sector in Sinaloa. For future research, it is proposed to prepare a compendium of good practices of the NODESS in Sinaloa, with the intention of disseminating it and promoting the creation of new alliances.

Институт наставничества в социокультурном пространстве Русского Севера и Русской Арктики: традиции и новации

At the XV Congress of Anthropologists and Ethnologists of Russia, held in St. Petersburg at the end of June 2023, special attention was paid to the discussion of topical theoretical and practical problems related to scientific reflections and social practices of the institute of mentoring in the cultures of the Rus-sian North. The report presented by the authors of this article at the Congress outlined the scientific results of research on the traditional institution of mentoring in the Old Believer societies of Karelians, Komi, Russian Ust-Tsilems, the “institute of grandmothers” in Kenozerye and Onega Pomorie, the ritual “mentoring” functions of Nenets shamans and Zyryan sorcerers, public practices of the spiritual guidance of the laity in the parochial community of the North Russian mir-zemstvo. The central place in the article is given to the presentation of the scientific results of the analysis of the forms, methods and directions of the mentoring activities of the Kenozerskiy National Park, which, relying on the ethno-cultural heritage of the traditional societies of the Ozernyy district, acts as a reference methodological school-laboratory, implementing a wide range of mentoring research and educational practices aimed at transformation of local territories into a socio-cultural space of creative dialogue and cooperation between the Park and local communities, training of leaders and activists of territorial public self-government (TPS), elaboration of regional strategy and local programs of spatial development of the Northern macro-region.

Dynamics of indoor volatile organic compounds and seasonal ventilation strategies for residential buildings in Northeast China

This study utilized a questionnaire survey to collect data from 265 residents in Changchun, encompassing building characteristics, ventilation frequency and overall satisfaction with the indoor environment. Statistical analysis revealed significant disparities in ventilation frequency and satisfaction with indoor temperature. The survey results indicate that the primary mode of indoor air exchange amongst Changchun residents is window ventilation, accounting for 93%. Field tracking was conducted to measure indoor air concentrations of volatile organic compounds (VOCs) in residential buildings during winter and summer seasons. The study revealed a significant increase in the average indoor/outdoor (I/O) ratio of the targeted 25 VOC concentrations in winter, rising from 10.8 to 17.7. The findings underscore indoor sources as predominant contributors to the measured VOCs. Temperature, humidity and room functions are the main factors affecting VOC concentration. Higher temperatures and increased relative humidity both contributed to elevated indoor VOC levels. This study recommended the opening of more windows during high temperature and high humidity in summer, to maintain good indoor air quality and effectively age the emission of VOCs from furniture. This study contributes to the enhancement of the database on indoor air quality and effective ventilation strategies in cold regions for safeguarding public health.

Perspectives of patient and public partners on their involvement in research.

Patient and public involvement (PPI) in research integrates patient and public perspectives to improve research relevance and quality. The experiences of PPI partners have revealed mixed findings in countries where PPI is well established, but accounts from areas less accustomed to PPI in research are limited. This study aimed to explore the knowledge, motivations, expectations and experiences of PPI representatives in such a setting. This was a qualitative study based on semi-structured interviews. Patient and public partners who had recently been engaged in a PPI collaboration to redesign the written patient material for a clinical study were interviewed. The interviews were analysed using inductive content analysis in which quotations were extracted, coded, categorised and interpreted into themes. Interviews indicated a lack of knowledge concerning PPI in research. Despite their motivation to collaborate, the PPI partners expressed anxiety and doubts about their abilities as laypeople. A sense of societal obligation to collaborate was noted. Groups-based, repetitive sessions fostered productivity, while challenges included off-topic discussions and skepticism. The findings provide valuable insights for shaping PPI processes and recruitment strategies in regions that are new to PPI. This highlights the need to describe the PPI concept when recruiting participants elaborately and to utilise repetitive group-based sessions in the design. Supported by the Novo Nordisk Foundation and the Chief Scientist Office, Scotland. Not relevant.

Tackling local environmental challenges with livelihoods strategies: insights from small-scale farmers in the vulnerable region of Ghana

ABSTRACT Climate risks pose significant challenges to farmers' livelihoods, particularly in sub-Saharan Africa, where the complex interplay of factors intensifies the impact on small-scale farmers (SSFs). While there is a broad understanding of climate change's effects on agriculture, there is a need for deeper insights into the key determinants and preferences influencing SSFs' adaptation strategies in vulnerable regions to better inform agricultural policy and planning. Data were collected from 325 SSF randomly selected in Juaben Municipality, Ghana. Quantitative analysis was done using descriptive and inferential statistics, while qualitative data were analyzed through content analysis. The study identified shifting planting dates, altering farm operation timings and mulching as primary adaptation strategies. Significant associations were found between socio-economic factors and the adaptation strategies employed by SSFs, with the Relative Importance Index highlighting affordable tools, land ownership and access to fertile land as crucial for enhancing livelihoods and adaptation. The findings underscore the need for training programmes to equip extension officers with the knowledge to support SSFs in developing skills and efforts related to adaptation and viable livelihood options.

Defining and Verifying New Local Climate Zones with Three-Dimensional Built Environments and Urban Metabolism

The urban heat island (UHI) effect, where the temperature in an urban area is higher than in the surrounding rural areas, is becoming a major concern. The concept of a Local Climate Zone (LCZ) system was devised to provide an objective framework for UHI research, which allows for a microscale definition of the UHI effect within urban areas by considering ‘urban’ and ‘rural’ as a continuum versus a dichotomy. However, most LCZ types are classified only by surface structure and coverings, which seem irrelevant to climatological and microscale concepts. In addition, microclimate is influenced by urban metabolism related to human activities as well as structural effects, but the LCZ-classification system does not incorporate these functional concepts. Therefore, this study proposes a novel urban-classification system that addresses the limitations of the LCZ concept by quantifying structural and functional elements of the city at the pedestrian level using S-DoT sensors and semantic segmentation techniques. This study holds significance as it suggests a New-LCZ (N-LCZ) system to support the classification framework of highly valid urban types and follow-up studies related to the UHI. Moreover, the N-LCZ offers a regional urban-planning strategy for sustainable development through a more valid classification system.

Identification of High-Quality Vegetation Areas in Hubei Province Based on an Optimized Vegetation Health Index

This research proposes an optimized method for identifying high-quality vegetation areas, with a focus on forest ecosystems, using an improved Vegetation Health Index (VHI). The study introduces the Land Cover Vegetation Health Index (LCVHI), which integrates the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI) with land cover data. Utilizing MODIS (Moderate Resolution Imaging Spectroradiometer) satellite imagery and Google Earth Engine (GEE), the study assesses the impact of land cover changes on vegetation health, with particular attention to forested areas. The application of the LCVHI demonstrates that forests exhibit a VHI approximately 25% higher than that of croplands, and wetlands show an 18% higher index compared to grasslands. Analysis of data from 2012 to 2022 in Hubei Province, China, reveals an overall upward trend in vegetation health, highlighting the effectiveness of environmental protection and forest management measures. Different land cover types, including forests, wetlands, and grasslands, significantly impact vegetation health, with forests and wetlands contributing most positively. These findings provide important scientific evidence for regional and global ecological management strategies, supporting the development of forest conservation policies and sustainable land use practices. The research results offer valuable insights into the effective management of regional ecological dynamics.

Study on Non-Point Source Pollution Prevention and Control System in Nansi Lake Basin Based on System Dynamics Approach

Agriculture, as an important activity on which human beings depend for their livelihood, brings serious environmental problems while meeting the needs of human survival, among which agricultural non-point source (NPS) pollution is one of the most urgent environmental problems. This study quantitatively assessed the loading characteristics spatial and temporal evolution patterns of two agricultural NPS pollutants, chemical oxygen demand (COD) and ammonia nitrogen (NH3-N), from 2010 to 2020 in the Nansi Lake Basin as an example, and constructed a system dynamics (SD) simulation model to simulate and analyze agricultural NPS pollution under different development and treatment scenarios, based on an investigation of the regional prevention and control strategy of agricultural NPS pollution and the technological system. The results show that the current status of agricultural NPS pollution load in the Nansi Lake Basin is poor, and the level of pollution load is high, showing obvious geographical differences. In terms of temporal changes, the pollution loads of the two pollutants showed a decreasing trend from 2010 to 2020, among which the pollution load of NH3-N showed the largest change. Spatially, the spatial distribution of each type of pollutant has some similarities, with smaller pollution loads in Jining and Zaozhuang and relatively larger pollution loads in Heze and Ningyang. The main source of COD pollution in the Nansi Lake Basin is rural life, with an emission proportion of 52.85%, and the main sources of NH3-N pollution from agricultural NPS pollution in the area are rural life and livestock and poultry farming, with emission proportions of 47.55% and 35.36%, respectively. Under the status quo continuum scenario, the pollution load values for COD are consistently higher than those for NH3-N, so the relative impact of COD is greater. In this study, the principles and methods of SD in system science are adopted to deal with the agricultural NPS pollution of Nansi Lake Basin, and the evolution of its behavioral characteristics are simulated, forecasted, and predicted, and policy experiments are conducted, with a view to providing references for the prevention and control of agricultural NPS pollution in Nansi Lake Basin and further research.

Digital transformation as a tool for creating an inclusive economy in Ukraine during wartime

The russian aggression against Ukraine underscores the need to reassess regional strategies for digitalization and inclusivity. The study aims to identify strategies for enhancing these areas during wartime. Taxonomy and cluster and factor analysis methods have shown that regions with a higher level of digitalization have lower levels of poverty and unemployment. Specifically, regions in the top quartile of the digitalization index reported, on average, 12% lower unemployment rates compared to those in the bottom quartile. The analysis identifies distinct regional groupings: areas such as Zaporizhzhia, Kherson, Donetsk, and Luhansk are partially occupied and exhibiting low digitalization and inclusivity, in contrast with Mykolaiv and Kirovohrad that show moderate progress. Rural regions face a significant digital divide, with only 60% of rural households having stable internet access compared to 90% in urban areas. Factor analysis confirms that wartime conditions have accelerated digital transformation, evidenced by a 42% increase in Diia app usage from 2021 to 2023 and a rise in internet penetration from 62% in 2019 to 78% in 2023. Additionally, IT sector export revenues grew by 20% in 2022, and technology startups doubled between 2019 and 2023. The study proposes a strategic framework for regional adaptation: intensive digitalization and inclusivity for Zaporizhzhia, Kherson, Donetsk, and Luhansk regions; digitalization for Mykolaiv region; inclusivity for Kirovohrad and Zakarpattia regions; and balanced adaptation for Chernivtsi and Khmelnytskyi regions. Recommended measures include modernizing digital infrastructure, expanding educational opportunities, supporting startups, and aligning digital and social initiatives to foster regional resilience and development.

Meeting Linnean, Wallacean, and Darwinian shortfalls in global biodiversity hotspots: A model study from the Indian Himalayan Region

AbstractDespite recent efforts to make large‐scale biodiversity datasets available, several data shortfalls still exist that preclude our progress in achieving global conservation and sustainability goals. In this study, we present a comprehensive native tree dataset (1689 species) from the Indian Himalayan Region (IHR)—home to two global biodiversity hotspots—assembled from an extensive data synthesis. Based on this database, we investigate the geographic patterns and drivers of α‐ and β‐taxonomic and phylogenetic diversity of the native trees among 13 different provinces of IHR. Our results revealed a considerable variation in the α‐ and β‐taxonomic and phylogenetic diversity among the provinces of IHR, with the highest values in eastern provinces. We found phylogenetic clustering mostly in the western provinces, and phylogenetic dispersion in the eastern provinces. We found a positive correlation between the taxonomic and phylogenetic dissimilarity across the IHR. Also, the different sets of explanatory variables explained the variation of tree species richness, standardized effect size of phylogenetic diversity, net relatedness index, and nearest taxon index, with maximum contribution by temperature seasonality (Bio4). Furthermore, temperature‐related climatic distance individually explained most of the variation in the taxonomic and phylogenetic dissimilarity between the provinces of IHR. Overall, our findings unveil the patterns of taxonomic, biogeographic, and phylogenetic dimensions of tree flora in the IHR, which in turn can help in formulating scientific data‐based regional policy and conservation strategies. Looking forward, we presented a model study for bridging the Linnean, Wallacean, and Darwinian shortfalls in the globally data‐deficient biodiversity‐rich regions.

FOSTERING INNOVATION ECOSYSTEMS: THE ROLE OF KNOWLEDGE ECONOMY IN REGIONAL DEVELOPMENT

This study investigates the impact of the knowledge economy on regional economic development, focusing on the role of human capital, innovation, and collaborative networks in fostering growth. Employing a desk research on literature related to the topic, the research highlights the importance of education and skill development in enhancing economic performance. Key findings reveal that knowledge-based strategies, supported by academia-industry-government collaborations, significantly contribute to creating vibrant innovation ecosystems. The research acknowledges limitations, such as the scope of regions studied, and suggests future directions, including exploring the impact of digital technologies and policy interventions on regional disparities. The study's originality lies in its comprehensive approach to integrating the knowledge economy's principles into regional development strategies, offering insights for policy formulation and strategic planning to leverage intellectual assets and innovation for sustainable growth.

A study on the spatial correlation network structure and its influencing factors of coupling coordination between FDI flow network and carbon transfer network in the belt and road initiative countries

Clarifying the spatial correlation characteristics and influencing factors of coupling coordination between Foreign Direct Investment (FDI) flow networks and carbon transfer networks in countries along the Belt and Road Initiative is of utmost importance for the formulation of regional carbon governance strategies and the establishment of a high-quality Green Silk Road. This study used a comprehensive approach combining social network analysis and coupling coordination model to measure the coupling coordination degree of FDI flow networks and carbon transfer networks of 67 Belt and Road countries from 2010 to 2016. In addition, a modified gravity model is used to characterize the spatial correlation network structure of coupling coordination between the two networks, and the QAP regression analysis method is applied to investigate the factors influencing the spatial association network. The results are as follows: 1) The spatial correlation network of coupling coordination between the two networks has good accessibility and relatively high overall network stability. 2) Countries such as Qatar and the United Arab Emirates occupy central positions in the network, while Bahrain and Jordan are positioned on the periphery of the network. 3) The spatial correlation network can be divided into three sectors: net outflow, net inflow, and bidirectional overflow sectors. 4) Spatial adjacency, bilateral investment treaties, economic development, and institutional quality have significant positive effects on the spatial association network, while the industrial structure and the level of infrastructure development have a significant negative impact. This study proposes an indicator system for the coupling coordination between FDI flow networks and carbon transfer networks. The aim is to investigate the coupling coordination relationship between FDI flow networks and carbon emission transfer networks in countries along the Belt and Road Initiative, providing important guidance for the formulation of regional cooperative carbon emission reduction strategies in other regions.

Unnoticed antimicrobial resistance risk in Tibetan cities unveiled by sewage metagenomic surveillance: Compared to the eastern Chinese cities

Sewage surveillance is a cost-effective tool for assessing antimicrobial resistance (AMR) in urban populations. However, research on sewage AMR in remote areas is still limited. Here, we used shotgun metagenomic sequencing to profile antibiotic resistance genes (ARGs) and ARG-carrying pathogens (APs) across 15 cities in Tibetan Plateau (TP) and the major cities in eastern China. Notable regional disparities in sewage ARG composition were found, with a significantly higher ARG abundance in TP (2.97 copies/cell). A total of 542 and 545 APs were identified in sewage from TP and the East, respectively, while more than 40 % carried mobile genetic elements (MGEs). Moreover, 65 MGEs-carrying APs were identified as World Health Organization (WHO) priority-like bacterial and fungal pathogens. Notably, a fungal zoonotic pathogen, Enterocytozoon bieneusi, was found for the first time to carry a nitroimidazole resistance gene (nimJ). Although distinct in AP compositions, the relative abundances of APs were comparable in these two regions. Furthermore, sewage in TP was found to be comparable to the cities in eastern China in terms of ARG mobility and AMR risks. These findings provide insights into ARGs and APs distribution in Chinese sewage and stress the importance of AMR surveillance and management strategies in remote regions.

Transforming air pollution management in India with AI and machine learning technologies

A comprehensive approach is essential in India's ongoing battle against air pollution, combining technological advancements, regulatory reinforcement, and widespread societal engagement. Bridging technological gaps involves deploying sophisticated pollution control technologies and addressing the rural–urban disparity through innovative solutions. The review found that integrating Artificial Intelligence and Machine Learning (AI&ML) in air quality forecasting demonstrates promising results with a remarkable model efficiency. In this study, initially, we compute the PM2.5 concentration over India using a surface mass concentration of 5 key aerosols such as black carbon (BC), dust (DU), organic carbon (OC), sea salt (SS) and sulphates (SU), respectively. The study identifies several regions highly vulnerable to PM2.5 pollution due to specific sources. The Indo-Gangetic Plains are notably impacted by high concentrations of BC, OC, and SU resulting from anthropogenic activities. Western India experiences higher DU concentrations due to its proximity to the Sahara Desert. Additionally, certain areas in northeast India show significant contributions of OC from biogenic activities. Moreover, an AI&ML model based on convolutional autoencoder architecture underwent rigorous training, testing, and validation to forecast PM2.5 concentrations across India. The results reveal its exceptional precision in PM2.5 prediction, as demonstrated by model evaluation metrics, including a Structural Similarity Index exceeding 0.60, Peak Signal-to-Noise Ratio ranging from 28–30 dB and Mean Square Error below 10 μg/m3. However, regulatory challenges persist, necessitating robust frameworks and consistent enforcement mechanisms, as evidenced by the complexities in predicting PM2.5 concentrations. Implementing tailored regional pollution control strategies, integrating AI&ML technologies, strengthening regulatory frameworks, promoting sustainable practices, and encouraging international collaboration are essential policy measures to mitigate air pollution in India.

Toward Understanding Research Evolution on Indirect Drivers of Ecosystem Change along the Interface of Protected and Non-Protected Lands

Against a backdrop of rapid environmental degradation and increasing pressures on natural resources, a broad list of innovations has emerged to support the vision of the post-2020 Kunming-Montreal Global Biodiversity Framework and strengthen regional and country-level biodiversity strategies along the interface of protected areas and non-protected lands. The success of these strategies depends in large part on science-informed consideration and approaches to the underlying and indirect drivers of change for natural systems and ecosystem services. This paper aims to inform future strategies and action plans for conservation efforts and sustainable practices globally and regionally, with a specific focus on Latin America’s environmental challenges. Bibliometric analysis, covering two decades from 2003 to 2023, focused on global and Latin American research trends related to the indirect drivers of change for natural systems and ecosystem services at the interface of protected and non-protected lands. Through structured analysis, key opportunities for increased collaboration, impact, and research focus are identified, highlighting the need to expand research collaboration strategies and reach, enhance research dissemination through open and equitable innovations, and strengthen capacity to the complex and interrelated challenges underlying accelerated change in natural systems, which affects biodiversity and ecosystem services.

Effect of Culinary Tourism on Local Economic Development in South Africa

Purpose: The aim of the study was to assess the effect of culinary tourism on local economic development in South Africa. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study revealed this form of tourism, centered around experiencing local cuisine and food-related activities, contributes to the economic vitality of a region by attracting visitors who spend on dining, food tours, cooking classes, and local food markets. These expenditures generate revenue for local businesses, including restaurants, farmers, food producers, and hospitality services, thereby creating job opportunities and stimulating economic growth. Additionally, culinary tourism fosters the preservation and promotion of local food culture and heritage, which can enhance a destination's unique appeal and competitiveness. This tourism niche often leads to increased demand for local ingredients, thereby supporting agricultural sectors and encouraging sustainable farming practices. Furthermore, the development of food festivals and culinary events can boost off-season tourism, providing a steadier stream of income for local economies. Overall, culinary tourism not only enhances the economic landscape but also reinforces community identity and pride, making it a valuable component of regional development strategies. Implications to Theory, Practice and Policy: Social exchange theory, multiplier effect theory and sustainable tourism development theory may be used to anchor future studies on assessing the effect of culinary tourism on local economic development in South Africa. To mitigate local governments, businesses, and community organizations should work together to create cohesive culinary tourism strategies. Policymakers should create frameworks that encourage sustainable culinary tourism practices.

Identification of streptomycin-resistant Erwinia amylovora in Iowa.

Erwinia amylovora is a bacterial pathogen that causes fire blight, an important disease in apples and pears. Applying the antibiotic streptomycin during the phenological bloom stage is considered the most effective management tactic for fire blight. Though streptomycin-resistant (SmR) E. amylovora populations have emerged in major U.S. apple-producing regions, antibiotic resistance data for medium to small-sized apple-producing regions like the Midwest is still lacking. This short communication collected symptomatic fire blight samples from Iowa apple orchards during 2022 and 2023, where recent fire blight outbreaks persisted despite streptomycin use. Among E. amylovora isolates from seven counties in central and eastern Iowa, around 90% of them were SmR. All SmR isolates exhibited a single base pair mutation in codon 43 of the rpsL gene, conferring resistance to streptomycin levels exceeding 1,000 μg/mL. Through clustered regularly interspaced short palindromic repeat (CRISPR) analysis, we characterized two E. amylovora genotypes unique to our region. Whole genome sequencing of one representative SmR isolate, IA01, confirmed its CRISPR genotype and subsequent phylogenetic analysis suggested that IA01 is genetically similar to Michigan isolates and distinct from those in eastern and western regions of North America. Furthermore, the disease-causing ability of IA01 was comparable to that of the highly virulent Ea110 strain, a streptomycin sensitive strain isolated from Michigan, in immature pears. Overall, this study underscores the urgent need for regional strategies to address antibiotic resistance and provide insights into its genetic basis and geographic distribution which are crucial for sustainable orchard management.

Small Pelagics in West Africa face the multiple challenges of food security, wealth creation and regional governance

The aim of this article is to present the multidimensional challenges associated with the exploitation of small pelagic fish in the West Africa region. The method involved collecting statistical data on the production and trade of these fish from research centres located in countries along the West African coastline. Field surveys were also conducted with experts and key stakeholders in fisheries to gather qualitative information on fisheries resource governance and working conditions within the value chain. These empirical data are enriched by a narrative review of scientific literature. Our results show an average annual production of small pelagic fish estimated at 1.3 million tonnes. Although this performance has improved over the past decade, primarily due to increased catches in Mauritania, it remains insufficient to meet the needs of a rapidly growing population. Indeed, per capita consumption of small pelagic fish has decreased by two kilograms over the past decade, currently standing at five kilograms per individual per year. The trade deficit in pelagic fish is increasing. This situation is set to worsen in the coming years due to various factors such as the current state of overexploitation of pelagic stocks, degradation of marine ecosystems, and climate change. Additionally, the emergence of fishmeal and fish oil industries, as well as the lack of adequate port infrastructure, hampers the value addition of the small pelagic fish value chain for human consumption. On the governance front, several challenges remain. Current public policies are often directive and ineffective, particularly concerning artisanal fisheries. The management of migrant fishers also remains problematic, exacerbating the pressure on already vulnerable stocks. Despite the establishment of regional institutions, interviews with experts highlight a lack of integration and synergy in fisheries resource governance. In a context where issues of food security and climate change are becoming increasingly urgent, it is imperative to design and implement robust regional strategies to address these critical challenges.Haut du formulaire Bas du formulaire

Intraspecific variation in leaf (poly)phenolic content of a southern hemisphere beech (Nothofagus antarctica) growing under different environmental conditions

Nothofagus antarctica (G.Forst.) Oerst. (Ñire) leaves are a valuable source of (poly)phenolic compounds and represent a high-value non-timber product from Patagonian forests. However, information on the variability of their chemical profile is limited or non-existent. The aim of this study was to evaluate the (poly)phenolic variability in Ñire leaf infusions. To this end, different tree populations growing under different temperature regimes and soil characteristics were considered. Interestingly, a cup of Ñire leaf infusion could be considered as a rich source of quercetin. Significant differences in the (poly)phenolic content, especially in flavonoid conjugates and cinnamic acids, were found among the populations studied. These results suggest metabolic variability among the forests studied, which could be related to the species response to its growing conditions, and also provide some clues about the performance of N. antarctica under future climate scenarios. The N. antarctica forests growing in environments with lower frequency of cold and heat stress and high soil fertility showed better infusion quality. This study showed how a South American beech interacts with its local environment at the level of secondary metabolism. In addition, the information obtained is useful for defining forest management strategies in the Patagonian region.

The Influence of Gender and Investment on Economic Growth in Sumatra

This study aims to analyze the impact of gender equality and domestic investment on economic growth in Sumatra from 2017 to 2022. Specifically, it examines the roles of the Gender Development Index (GDI), Gender Empowerment Index (GEI), and Domestic Investment (PMDN) using secondary data sourced from BPS. The research employs panel data regression analysis to identify significant factors influencing economic growth. The results reveal that both GDI and GEI have a positive and significant effect on economic growth, while PMDN also contributes positively. These findings highlight the importance of promoting gender equality and boosting domestic investment to drive economic development. Additionally, the study identifies diverse economic behaviors across provinces, indicating the necessity for tailored regional development strategies. Overall, this research underscores the critical role of gender equality and investment in fostering sustainable economic growth in Sumatra.