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Background: Ioannidis et al. (2020) reported a standardized estimate of scientific productivity obtained from a worldwide database of 6,880,389 scientists who published at least 5 papers picked up by the Scopus database, and elaborated a ranking of ca. 120,000 scientists by both whole trajectory (career-long) impact and their current impact at year 2019. The goal of our paper is to contextualize Latin American ecologists' contribution at the world level based on the four most scientifically productive countries in the region. Methods and findings: Ioannidis et al. (2020) proposed a composite index that is the sum of six scientometric indicators: (1) The number of allocites, (2) the h index, (3) a per capita corrected version of h, (4) the allocites received as single author, (5) those received as single + first author, and (6) those as single + first + last author. We selected data for ecologists from Argentina, Brazil, Chile, and Mexico and comparatively analyzed their productivity according to the proposed index. We also compared these data with those obtained from a global sample of the top ecologists worldwide. Conclusions: Based on Ioannidis et al.'s proposition to evaluate scientific productivity we extract three lessons: (1) It does not pay to publish many papers; what counts is the number of allocites (i.e., self-citations do not add up). (2) Either be single, first, or last author; it does not pay to be in the middle of an authorship line. (3) Even worse it is to be among many co-authors because the proposed index allocates credits on a per capita basis. [ABSTRACT FROM AUTHOR]

Since the 1990s, agribusiness expansion in Argentina involved the exponential growth of pesticide use throughout the country. Pesticide exposure has become a widespread problem in rural areas and farming towns, but protests and conflicts about this issue are the exception rather than the norm. Why? Based on archival work, interviews, and ethnographic observations, in this paper, we scrutinize pesticide governance at the subnational scale to elucidate this puzzle, focusing on a) informal arrangements (face-to-face negotiations between pesticide users and people affected by them), b) juridical conflicts (lawsuits against farmers over exposure of people and crops to herbicides), and c) regulatory challenges (when rural populations and environmentalists push for local ordinances to curb pesticide exposure). We find that local cultural codes encourage informal agreements and that social inequalities prevent conflicts from arising in the public sphere. The interventions of social movements and civil society organizations (or lack thereof) and the mobilization of expertise also shape pesticide governance. Our analysis highlights that pesticide governance is context-dependent or situated, and informed by subtle but significant power asymmetries. [ABSTRACT FROM AUTHOR]

In-work poverty (IWP) is gaining interest in the public agenda. This article is a first contribution to the analysis of IWP dynamics in Latin America, based on the study of the Argentine case. Using one-year interval panel data, the paper analyzes the trigger events that produce entries and exits from IWP, short-term poverty trajectories and the determinants associated to transient and persistent poverty. Drawing on a decomposition analysis of mutually exclusive events, the article shows that labor market events are the most relevant triggers for both exits and entries into IWP. Based on a multinomial logistic regression, the paper concludes that low education, the presence of children in the household, and having a low-quality job are the three main factors explaining persistent-poverty. [ABSTRACT FROM AUTHOR]

This paper aims to identify and characterize the potential of green jobs in Argentina, i.e., those workers that would benefit from a transition to a green economy, using occupational green potential scores calculated in US O*NET data for the period 2015–2021. We apply the greenness scores to Argentine household survey data and estimate that between 23 and 25 percent of workers are in green jobs, i.e., have a high green potential. However, to promote and ensure an inclusive and effective green transition, we consider the decent work dimension (through legal informality measures), and find that between 11 and 12 percent of wage earners are in green formal jobs. We then analyze the relationship between the green job indicators and various labor and demographic variables at the individual level. We find that the green potential is relatively greater for men, the elderly, those with very high qualifications, and those in specific sectors such as construction, transportation, mining, and industry. These are the groups that are likely to be the most benefited by the greening of the Argentine economy. The green potential score is positively associated with informality, thus the green transition may be incompatible with decent work. [ABSTRACT FROM AUTHOR]

The article reports on the environmental dispute between Uruguay and Argentina, which can be resolved by a group of scientists. It says that the controversy, which involves a Uruguayan paper-mill complex on a shared Uruguay River, has sparked protests from many Argentinians prompting Argentina to take its neighbouring country to the International Court of Justice. It adds that a joint river monitoring was agreed by the two countries forming their common border for algal blooms and pollution.

This paper studies an adjacent accumulation discrete grey model to improve the prediction of the grey model and enhance the utilization of new data. The impact of COVID-19 on the global economy is also discussed. Two cases are discussed to prove the stability of the adjacent accumulation discrete grey model, which helped the studied model attain higher forecasting accuracy. Using the adjacent accumulation discrete grey model, non-renewable energy consumption in G20 countries from 2022 to 2026 is predicted based on their consumption data from 2011 to 2021. It is proven that the adjacent accumulation exhibits sufficient accuracy and precision. Forecasting results obtained in this paper show that energy consumption of all the non-renewable sources other than coal has an increasing trend during the forecasting period, with the USA, Russia, and China being the biggest consumers. Natural gas is the most consumed non-renewable energy source between 2022 and 2026, whereas hydroelectricity is the least consumed. The USA is the biggest consumer of Nuclear energy among the G20 countries, whereas Argentina consumed only 0.1 Exajoules of nuclear energy, placing it at the end of nuclear energy consumers. [ABSTRACT FROM AUTHOR]

Background: Reproductive behaviour under natural conditions is hard to record, especially in rare and cryptic species, such as the Casuhatien anole (Pristidactylus casuhatiensis). This medium size lizard is endemic to the Sierras Australes Bonaerenses, a rocky outcrop in the Southern Pampas of Argentina. Methods: During spring and summer from 2018 to 2022, we surveyed five hills at above 600 m altitude, where specimens were known to occur. Every time we detected a courtship or copulation event, we took photographs of the specimens for their individual identification, and recorded the body temperature of the participating individuals as well as air temperature, wind speed and relative humidity. We recorded the duration in minutes of each phase of the event (immobilization, juxtaposition of the cloacae followed by copulation, and finally, restraint and separation) and described the main habitat features of the site where it happened. Results: We detected 12 reproductive events; all of them occurred in October and November, on Funke, Puntudo and Tres Picos hills, mostly between 1300 and 1700 h. The mean duration of each copulation phase was 6 min (95% CI = ± 1.4, n = 10), 4.3 min (95% CI = ± 1.8, n = 10) and 3.8 min (95% CI = ± 3.42, n = 10), respectively. Conclusion: The reproductive activity of the Casuhatien anole is concentrated in the spring, particularly in the early afternoon, following the patterns described for other species of lizards. During these events, the greatest exposure of individuals could make them more vulnerable. This, together with other features related to their reproductive behaviour revealed in this paper may contribute to the planning of conservation actions. [ABSTRACT FROM AUTHOR]

Mendoza city (Argentina) hosted the VIII Latin American Forestry Congress (CONFLAT) and the V Forestry Congress of Argentina (CFA) in 2023, where relevant issues were addressed, such as climate change, degradation, reforestation, management and forest industry, monitoring, environmental services, social issues, and governance, among others. The objective of this Special Issue was to present the main advances in Forestry Science for Latin-America in the context of changing governance and forest livelihoods for people. The fifteen articles emphasize the interdisciplinary nature of the forest management and conservation, and that multiple variables must be considered to achieve sustainability. The articles come from studies across Southern South-America (Argentina, Brazil, Chile, and Uruguay), and the collaboration of researchers of other countries (México, Canada, and Spain). Articles include research in tropical, Mediterranean and temperate Sub-Antarctic forests. Together, these articles provide a snapshot of new forestry research carried out locally and internationally to bring about beneficial ecological and environmental outcomes in a world facing the challenges of sustainable management and conservation amongst the threats and uncertainty of climate change and environmental degradation responsible for extensive loss of biodiversity and environmental services. We believe that this Special Issue will encourage more inter-disciplinary research focusing on management and conservation of forests. [ABSTRACT FROM AUTHOR]

This paper analyzes spatial and temporal changes of aridity in Argentina (1961–2022). The aridity degree, using Climatic Research Unit (CRU) monthly data, was defined through six climate types classified by De Martonne Aridity Index (DMI). Argentina presents a very arid, arid and semiarid region that extends from Puna to Patagonia, alongside two humid and very humid regions: one located in the Chaco-Pampas Plains and Mesopotamia, and another in the Patagonian Andes. Between these regions, there are subhumid areas with marked aridity variations. These structures persist over time, but advances or setbacks were observed in their bordering areas, with significant changes in the Andes (leading to more arid conditions) and the southwestern Pampas Plains (leading to more humid conditions) during the historical period. The contribution of temperature and precipitation changes to these DMI changes was quantified, indicating that precipitation modulated the DMI spatial changes, while temperature intensified or weakened the change magnitudes. The extension variations of the arid and semiarid regions in Argentina were related to three climate variability modes (El Niño – Southern Oscillation [ENSO], Pacific Decadal Oscillation [PDO] and South Atlantic Ocean Dipole [SAOD]). Significant correlations were found with PDO (r < 0) and SAOD (r > 0), which indicate that an increase in the area occupied by arid and semiarid climates are associated with PDO negative phase or SAOD positive phase. Moreover, when these phases occur simultaneously, the expansion of arid and semiarid regions is larger than under the action of an individual forcing. [ABSTRACT FROM AUTHOR]

In this paper, we developed an innovative and plural methodology for a socio-cultural assessment of ecosystem services (ES). This methodology was performed using diverse and interdependent tools applied within the framework of ethnoecology and post-normal science, with the aim of identifying ES from the perspective of local communities that inhabit different socio-ecosystems, highlighting the relevance of Indigenous and Local Knowledge (ILK). As examples of how this methodology works, we analyzed a multiple case study performed in three peasant communities of the Dry Chaco eco-region, Argentina. We identified ES in all the categories and their fundamental contributions to the particular way of life in this area. The method is flexible enough to be used in other socio-ecosystems with different environmental and social features. [ABSTRACT FROM AUTHOR]

Customer rephasing is one of the most efficient techniques for balancing loads, reducing losses, and improving electricity quality. Traditionally, phase changes were performed by an operator, interrupting the supply during the process. Instead, a more recent approach proposes using phase switching devices that dynamically and imperceptibly transfer the customer load from one phase to another. Although this solution requires an extra investment related to these devices, it preserves the balance over time. This paper presents a new method to determine the minimum number of devices that should be installed and find their optimal allocation. The method is based on genetic algorithms and only uses data from the substation and a fraction of the customers, requiring less than 50% of penetration of smart meters to fix the imbalance problem. A new control algorithm for the switching devices is also proposed. It was designed to reduce the load imbalance while maintaining the number of changes per customer to a minimum, reducing device degradation. The method was validated through simulations using data from Tucumán province, Argentina. With at least 40% of the customers measured, it is possible to allocate the switches to less than 20% of customers and correctly reduce the load imbalance. [ABSTRACT FROM AUTHOR]

This paper is concerned with the dynamics and stability of a flapping flag, with emphasis on the onset of flutter instability. The mathematical model is based on the one derived in a paper by Argentina and Mahadevan (Proc Nat Acad Sci 102:1829–1834, 2005). In that paper, it is reported that the effect of vortex shedding from the trailing edge of the flag, represented by the complex Theodorsen function C, has a stabilizing effect, in the sense that the critical flow speed (where flutter is initiated) is increased significantly when vortex shedding is included. The numerical eigenvalue analyses of the present paper display the opposite effect: the critical flow speed is decreased when the Theodorsen function (i.e., vortex shedding) is included. These predictions are verified by an analytical energy balance analysis, where it is proved that a small imaginary part of the Theodorsen function, C = 1 - i ϵ , 0 < ϵ ≪ 1 , has a destabilizing effect, i.e., the critical flow speed is smaller than by the so-called quasi-steady approximation C = 1 - i 0 . Furthermore, order-of-magnitude considerations show that Coriolis and centrifugal force terms in the equation of motion, previously discarded on the assumption that they are associated with very slow changes across the flag, have to be retained. Numerical results show that these terms have a significant effect on the stability of the flag; specifically, the said destabilizing effect of the vortex shedding is significantly reduced when these terms are retained. The mentioned energy balance analysis illuminates the nature of the flutter oscillations and the 'competition', at the flutter threshold, between the different types of fluid forces acting on the flag. [ABSTRACT FROM AUTHOR]

This paper argues that political brokers pay particular attention to household size, and the age distribution of its members, when allocating scarce indivisible social benefits. Because people usually share their income with other household members, allocating a social benefit to an individual member of a household with n voters is likely to bring more political support than allocating the same benefit to an individual member of a household with n-1 voters. Based on the main Argentine household survey and on personal interviews with 120 brokers, this paper shows that brokers effectively collect information on family size and age composition and allocate scarce temporary public works programs to families with more voters, unintentionally discriminating against families with children not old enough to vote. [ABSTRACT FROM AUTHOR]

This paper evaluates whether exposure to natural disasters very early in the life of a person has persistent effects on her human development outcomes in the case of Argentina. Using the microdata of the 2010 National Census of Population and the Disaster Inventory System's (DesInventar) records of the occurrence of natural disasters, we estimate a differences in differences model, exploiting geographical variation (between districts of Argentina) and temporal variation (between birth cohorts) in the occurrence of natural disasters. Fixed effects are considered by cohorts and districts, as well as control variables. We find that exposure to natural disasters during the first year of life significantly reduces the number of years of schooling achieved in 0.03 years and increases the chances of being unemployed when adult. Importantly, we find that the personal experience of a natural disaster goes beyond individual outcomes, increasing the chances of living in a multidimensionally poor household when adult. Exposure to natural disasters during gestation also has significant detrimental impact on these outcomes. In the context of climate change, in which an increase in the frequency and severity in the occurrence of natural disasters is expected, our results are a call of attention, indicating that it is of outmost importance to design and implement public policies towards increasing the country's preparedness and resilience to natural disasters. [ABSTRACT FROM AUTHOR]

Leptospirosis, the infectious disease caused by a spirochete bacteria, is a major public health problem worldwide. In Argentina, some regions have climatic and geographical characteristics that favor the habitat of bacteria of the Leptospira genus, whose survival strongly depends on climatic factors, enhanced by climate change, which increase the problems associated with people's health. In order to have a method to predict leptospirosis cases, in this paper, five time series forecasting methods are compared: two parametric (autoregressive integrated moving average and an alternative one that allows covariates, ARIMA and ARIMAX, respectively), two nonparametric (Nadaraya-Watson Kernel estimator, one and two kernels versions, NW-1 K and NW-2 K), and one semiparametric (semi-functional partial linear regression, SFPLR) method. For this, the number of cases of leptospirosis registered from 2009 to 2020 in three important cities of northeastern Argentina is used, as well as hydroclimatic covariates related to the presence of cases. According to the obtained results, there is no method that improves considerably the rest and can be recommended as a unique tool for leptospirosis prediction. However, in general, the NW-2 K method gets a better performance. This work, in addition to using a long-term high-quality time series, enriches the area of applications of statistical models to epidemiological leptospirosis data by the incorporation of hydroclimatic variables, and it is recommended directing further efforts in this line of research, under the context of current climate change. [ABSTRACT FROM AUTHOR]

Background: Accurate symptom monitoring is vital when managing pediatric asthma, providing an opportunity to improve control and relieve associated burden. The CHILDHOOD ASTHMA CONTROL TEST (C-ACT) has been validated for asthma control assessment in children; however, there are concerns that response option images used in the C-ACT are not culturally universal and could be misinterpreted. This cross-sectional, qualitative study developed and evaluated alternative response option images using interviews with children with asthma aged 4–11 years (and their parents/caregivers) in the United States, Spain, Poland, and Argentina. Interviews were conducted in two stages (with expert input) to evaluate the appropriateness, understanding and qualitative equivalence of the alternative images (both on paper and electronically). This included comparing the new images with the original C-ACT response scale, to provide context for equivalence results. Results: Alternative response option images included scale A (simple faces), scale B (circles of decreasing size), and scale C (squares of decreasing quantity). In Stage 1, most children logically ranked images using scales A, B and C (66.7%, 79.0% and 70.6%, respectively). However, some children ranked the images in scales B (26.7%) and C (58.3%) in reverse order. Slightly more children could interpret the images within the context of their asthma in scale B (68.4%) than A (55.6%) and C (47.5%). Based on Stage 1 results, experts recommended scales A (with slight modifications) and B be investigated further. In Stage 2, similar proportions of children logically ranked the images used in modified scales A (69.7%) and B (75.7%). However, a majority of children ranked the images in scale B in the reverse order (60.0%). Slightly more children were able to interpret the images in the context of their asthma using scale B (57.6%) than modified scale A (48.5%). Children and parents/caregivers preferred modified scale A over scale B (78.8% and 90.9%, respectively). Compared with the original C-ACT, most children selected the same response option on items using both scales, supporting equivalency. Following review of Stage 2 results, all five experts agreed modified scale A was the optimal response scale. Conclusions: This study developed alternative response option images for use in the C-ACT and provides qualitative evidence of the equivalency of these response options to the originals. Plain English summary: Accurate monitoring of the symptoms associated with pediatric asthma is important when managing the condition. The CHILDHOOD ASTHMA CONTROL TEST (C-ACT) is a questionnaire widely used to measure asthma severity in young children (aged 4–11 years). Each question answered by the child in the C-ACT has four possible answer choices. To help children answer, each choice is presented alongside an image of a male child's face ranging from sad to happy. However, there are concerns that the images used are not culturally universal and could be misinterpreted—due to difficulties translating to electronic formats and a lack of differentiation between the images used. Through interviewing children with asthma, we aimed to address these concerns by developing and testing new images. Alternative image options developed included simpler faces, circles of decreasing size and squares of decreasing quantity. Children aged 4–11 years old were interviewed to test whether they understood the response scale using the new images and if they answered in the same way as with the original images. Interviews were conducted in two stages, with expert guidance at key stages. Results showed that children can interpret and understand the newly developed images and that they answer the questions the same as they would using the original images. These new images have the advantages of being culturally neutral and easier to implement on an electronic device. [ABSTRACT FROM AUTHOR]

In this study, our aim is to explore the dynamics of COVID-19 or 2019-nCOV in Argentina considering the parameter values based on the real data of this virus from March 03, 2020 to March 29, 2021 which is a data range of more than one complete year. We propose a Atangana–Baleanu type fractional-order model and simulate it by using predictor–corrector (P-C) method. First we introduce the biological nature of this virus in theoretical way and then formulate a mathematical model to define its dynamics. We use a well-known effective optimization scheme based on the renowned trust-region-reflective (TRR) method to perform the model calibration. We have plotted the real cases of COVID-19 and compared our integer-order model with the simulated data along with the calculation of basic reproductive number. Concerning fractional-order simulations, first we prove the existence and uniqueness of solution and then write the solution along with the stability of the given P-C method. A number of graphs at various fractional-order values are simulated to predict the future dynamics of the virus in Argentina which is the main contribution of this paper. [ABSTRACT FROM AUTHOR]

Puerto Madryn city (Chubut province, Argentina) has strongly increased its population since 1970, but a lack of coastal management strategies has favored physical changes in the natural landscape. This situation has led to a deficit in sediment supply sources, which increases beach erosion susceptibility. This paper aims to evaluate beach erosion susceptibility through the use of geo-indicators. It also provides a susceptibility map based on geomorphological evidence and the weighting of physical geo-indicators. The final objective is to propose soft solutions that consider a comprehensive coastal management. The main anthropogenic disturbances identified were beach cleaning with bulldozer, coastal armoring, removal of dune fields (about 90% between 1942 and 2019), foredune segmentation, installation of resorts on backshore, and artificial rainfall drains towards the beach. The natural and most sensitive geo-indicators affected by human pressure—and thus the most useful for determining susceptibility—were foredune conservation and width, and backshore width. We estimate a high to moderate susceptibility to beach erosion along the coast of Puerto Madryn. As regards management policies, we propose mainly restoration, prevention, and adaptation strategies, such as the use of sand fences and new techniques for beach cleaning, all of which are aimed at promoting sedimentary balance within the dune-beach system. Besides these procedures, we recommend the consideration of preventive actions, such as a future-oriented urban planning and a program to raise popular awareness of coastal problems. The diagnostic approach based on a geo-indicator survey has provided a useful tool to help decision-making in coastal conservation initiatives. [ABSTRACT FROM AUTHOR]

Middle class studies have gained relevance in the economic literature. Nevertheless, a profound lack of agreement on conceptual and methodological issues for its identification remains. Furthermore, it has mostly relied on only one dimension: income. In this paper we present a new multidimensional approach for identifying the middle class based on multivariate quantiles. Moreover, this approach allows for a more general assessment of welfare given that it allows for identifying other groups -the poor and the upper class- overcoming existing strategies. We provide an empirical application for the case of Argentina in the 2004-2014 period. [ABSTRACT FROM AUTHOR]

This paper studies the determinants of the distribution of the national budget amongst Argentinean provinces. We evaluate the relevance of the alternative theories of budget allocation using the Arellano–Bond dynamic panel technique. Our results confirm our presumption that Federal funds allocations are dominated by the Executive and the governors while the Congress plays a minor role. Unlike some findings for the US, neither the overrepresentation variables nor the congressional theories find support in our sample. Our paper fills the gap in the literature on Argentina’s fiscal federalism deficient in analysis of the decision making process of the National Budget. [ABSTRACT FROM AUTHOR]

During the 1980s and 1990s fertility decisions varied significantly and not uniformly along the income distribution in Argentina. In this paper we study the effects of these demographic changes on income poverty and inequality by applying microeconometric decomposition techniques. In particular, we simulate the equivalized household income distribution that would emerge if individuals observed in a given base year had taken fertility decisions as they did in another different year. The results suggest that these demographic factors have contributed considerably to the changes in poverty and inequality experienced by Argentina since the 1980s. [ABSTRACT FROM AUTHOR]

The study area is La Colacha sub-basins from Arroyos Menores basins, natural areas at West and South of Río Cuarto in Province of Córdoba of Argentina, fertile with loess soils and monsoon temperate climate, but with soil erosions including regressive gullies that degrade them progressively. Cultivated gently since some hundred 60 years coordinated action planning has become necessary to conserve lands while keeping good agro-production. Some of the authors were engineers trained here and other had former experience in Salta, Argentina, using a set of Decision Theory Methods, (DTM), to consider the possible systems of soil uses and actions to be recommended. After having improved data on soils and on hydrology for the study area, they have adapted as academic study these DTM for Arroyos Menores areas where gully erosions are severe, also intending to offer better view for the necessary planning to have policies of actions and uses, done by the local society decision and services, and in part by land owners. This paper concentrates on the application of a set of discrete multi-criteria models (MCDM), where alternatives were global, considering soil conservation and hydrologic management actions, and main types of use of soil, and where criteria were about the diverse consequences, grouped as environmental, economic, and social. As methods they have used for the sub areas PROMETHEE with sets of weights, comparing results with ELECTRE with same data and weights, and with AHP method needing comparisons of criteria by authors, getting somehow compatible results, but finding that the 'weighted PROMETHEE II' was the more adapted for the present study. The system and results are very global, and are offered as indications for planning, that will require using detailed engineering and administration aspects for series of local singular actions or for management pursued in time. [ABSTRACT FROM AUTHOR]

As lawmakers produce norms, the underlying normative system is affected showing the intrinsic dynamism of law. Through undertaken actions of legal change, the normative system is continuously modified. In a usual legislative practice, the time for an enacted legal provision to be in force may differ from that of its inclusion to the legal system, or from that in which it produces legal effects. Even more, some provisions can produce effects retroactively in time. In this article we study a simulation of such process through the formalisation of a temporalised logical framework upon which a novel belief revision model tackles the dynamic nature of law. Represented through intervals, the temporalisation of sentences allows differentiating the temporal parameters of norms. In addition, a proposed revision operator allows assessing change to the legal system by including a new temporalised literal while preserving the time-based consistency. This can be achieved either by pushing out conflictive pieces of pre-existing norms or through the modification of intervals in which such norms can be either in force, or produce effects. Finally, the construction of the temporalised revision operator is axiomatically characterised and its rational behavior proved through a corresponding representation theorem. [ABSTRACT FROM AUTHOR]

The geographical recognition of wines has been extensively attempted based on chemical parameters. However, few studies have used wine sensory properties to characterize wines according to their geographical origin. This paper presents a machine learning study to classify and to find the most important sensory descriptors of Cabernet Sauvignon, Syrah, Tannat, and Merlot wines from Argentina, Brazil, Chile and Uruguay. Four feature selection methods (F score, relief, χ 2 , and random forest importance) were used to generate the order of importance of the sensory descriptors. The feature subsets were generated based on the feature selection ranking order to use as input features for the support vector machines classifier. Very good results with 85–100% accuracy were achieved, and the results showed that few sensory descriptors discriminate the origin of wines better than when using all the descriptors and that there is a specific subset of most important features to each wine variety. As far as we know, this is the first study to analyze South American wines based solely on sensory descriptors and support vector machines along with feature selection methods. [ABSTRACT FROM AUTHOR]

In developing countries, conflict between the objectives of environmental policies and those focused on economic development, a low availability of human resources and infrastructure, and the lack of continuity and incentives, contribute to the inability to successfully implement environmental policies. Moreover, in these countries, population growth in the peri-urban areas has resulted in serious water pressures, poor water management, and severe non-point source pollution. The aim of this paper is to implement a procedure of aquifer pollution risk assessment for identifying priority areas in an urban-rural interface based on multi-criteria decision tools. In this sense, a multi-criteria decision model was designed, in terms of environmental and socio-economic criteria and sub-criteria relevant to water resource management, by using the software Criterium Decision Plus 4.0. This model was applied to the northwestern peri-urban area of Mar del Plata City, Argentina, which is embedded in the second most important fruit-horticultural belt of the country. Here, groundwater is the only source of water supply. The proposed decision model allowed establishing a ranking of priority areas for defining action guidelines in order to minimize the risk of pollution of the aquifer. Aquifer pollution hazard criterion mainly contributes to alternatives classified as very high priority whilst in the case of low and very low priority classes, social vulnerability criterion mostly influences the final results. The first alternatives will require an intervention in a short-term time horizon, and the last ones must be monitored in order to avoid their shift to a worse environmental condition. [ABSTRACT FROM AUTHOR]

This paper examines changes in individual earnings during positive and negative growth periods in three Latin American economies: Argentina, Mexico, and Venezuela. We ask two major questions. First, do panel income changes favor the income recipients who started at the top of the income distribution ('divergent mobility') or those who started at the bottom ('convergent mobility')? And second, are the groups that are found to gain the most when the economy is growing those that are found to lose the most when the economy is contracting ('symmetry of mobility') or is the pattern asymmetric in the sense that the same groups do best both in times of economic growth and in times of economic decline? We find support for the divergent mobility hypothesis only in scattered years in the cases of Mexico and Venezuela and no support at all in the case of Argentina. Rather, earnings mobility is most frequently convergent or neutral in all three countries. As for the symmetry of mobility hypothesis, we find that it is rejected in nearly all cases; rather, those groups that gain the most when the economy is growing are also the ones that gain the most or lose the least when the economy is contracting. Furthermore, we discuss how the absence of divergence reconciles with rising inequality in the countries under study. [ABSTRACT FROM AUTHOR]

Standard economic theories of wage inequality focus on the factor-biased nature of technological change and globalization. This paper examines the long-run development of industrial wage inequality in Latin America from a global comparative perspective. We find that wage inequality was comparatively modest during the first half of the twentieth century, but rising much faster during the post-war era than in other industrial countries. In-depth analyses of wage inequality trends in Argentina, Brazil, and Chile confirm this pattern, but also reveal notable country peculiarities. In Argentina and Chile, trend breaks coincided with large political-institutional shocks while in Brazil, wage inequality increased unabated under the wage regulation policies of successive post-war administrations. We argue that without taking national policies with respect to education and the labor market into account, economic theory cannot explain 'Latin American' patterns of wage inequality. [ABSTRACT FROM AUTHOR]

This paper evaluates the contribution of the energy industry (oil, gas and electricity) to the Millennium Development Goals (MDGs) in three countries (Argentina, Colombia and Mexico). To build this international benchmark, a tool was built (the MDG-Scorecard), by drawing on theoretical frameworks and guides on how businesses can contribute to the MDGs. Results show that companies are making efforts to contribute to the environment, human rights, employment creation and labour rights. However, their effort is close to nil for the Goals with the weakest links with their core business. Findings also suggest that there is no coordinated and consistent strategy to achieve the MDGs either intra-company or inter-companies. [ABSTRACT FROM AUTHOR]

This paper offers an ethnographically grounded analysis of the transformative possibilities of the Argentinean empresas recuperadas (ERs), which speaks to current debates on the 'social economy'. The ERs emerged in a context shaped by the crisis of neoliberalism and of the Argentinean political system and a huge upsurge in popular self-organisation. In response to widespread factory closures, thousands of workers occupied abandoned companies, forming cooperatives and often introducing assembly-based decision-making. By 2002, they established a national organisation, which connected workers' struggles to a wider movement for institutional change. However, by 2006, the organisation had fragmented and many ERs had reinstalled traditional control methods. Much of the literature divides between idealistic and deterministic interpretations, which conceive as a technical material process. The paper proposes an alternative, a concept of labour as a process of creating value-subjective needs and values, and surplus value-which links organisations to society. Conceiving the 'politics of value creation' highlights continuities within the financial management and institutional relations of many ERs, but most importantly, it also recognises the different ways in which emerging social identities articulated a new need for control. Through two case studies, the paper explores the social processes through which these actors shaped their cooperatives in very different ways-highlighting innovations in accounting techniques and state-society relations. This reveals why a focus on accounting can enable anthropologists to recognise the general limitations of cooperatives and also their specific cultural diversity. In conclusion, the paper reconciles current discussions on the concept of the social economy by theorising it as the internal socialisation of capitalism and as an institutional expression of new cultural needs. [ABSTRACT FROM AUTHOR]

This paper analyzes the influence of alternative voting technologies on electoral outcomes in multi-party systems. Using data from a field experiment conducted during the 2005 legislative election in Argentina, we examine the role of information effects associated with alternative voting devices on the support for the competing parties. We find that differences in the type of information displayed and how it was presented across devices favored some parties to the detriment of others. The impact of voting technologies was found to be larger than in two-party systems, and could lead to changes in election results. We conclude that authorities in countries moving to adopt new voting systems should carefully take the potential partisan advantages induced by different technologies into account when evaluating their implementation. [ABSTRACT FROM AUTHOR]

I propose a few epistemological and methodological reflexions to account for intercultural daily communication. These reflexions emerged during a sociological research in Mendoza, Argentina, with Huarpes Indigenous students at the University of Cuyo. I observed that Indigenous people became quasi 'ethnographers' of diverse environments. To make intelligible their classmates' behavior, and to account for their own behavior, Huarpes follow, in diverse environments and interactions, public rules of meaning. The objective of this paper is twofold: (a) to stress the methodological scope of ordinary communication and ordinary reasoning in order to study understanding between people from different groups and categories, and (b) to contest a kind of 'pessimist' standpoint in social sciences and philosophy according to which the use of ordinary language reduces possibilities for understanding. Interviews, participant observation in natural situations, and a review of literature about language and understanding are the basis of this paper. [ABSTRACT FROM AUTHOR]

Abstract  This paper presents an air-quality surveillance system designed to detect the occurrence of air pollutant concentrations greater than a reference level in an urban area. The system is integrated by an air-quality monitoring network and atmospheric dispersion models simulations. An objective methodology to design an urban air-quality monitoring network is proposed. This methodology is based on the analysis of air-quality modelling results. The procedure is applied to design an air-quality monitoring network to control NO x concentration levels in Buenos Aires City. Results indicate that six monitors will detect the occurrence of concentration greater than the air-quality guidelines with an efficiency of about 67%. Once a violation is detected, results of atmospheric dispersion models will help in the determination of affected areas. Four possible examples are included to illustrate the assistance that the results of atmospheric dispersion models can bring to a better estimation of possible affected areas in the city. Combining these results with the last census data, an estimation of the inhabitants possibly exposed is obtained. [ABSTRACT FROM AUTHOR]

Water quality indices provide a simple and understandable tool for managers on the quality and possible uses for irrigation water, however an individual quality factor alone is not enough to evaluate the irrigation water quality because it could be restrictive and sometime it could give an unfavorable qualification. The aim of this paper was propose a quality profile of irrigation water using the preexisting water quality indices to be applied to arid and semi-arid regions. As a case studied, the water of the Del Molle River (Nogolí, San Luis, Argentina) was researched. Samples were collected during the period October 2005–May 2006. Conductivity, pH, total hardness, sulphate, nitrate, nitrite, alkalinity, chloride, sodium, potassium, TDS, DO and phosphate were analyzed. The irrigation water quality, according to Riverside Norm, belongs to C2–S1 class, according to Wilcox Norm as excellent to good, according to Scott quality factor it is good and according to SAR < 10 and according to RCS it is recommendable. From the obtained data, it can be concluded that the water quality profile was good, so it is useful for normal irrigation agriculture. [ABSTRACT FROM AUTHOR]

The Reconquista River is one of the most polluted rivers in Latin America. This paper aims at identifying the dynamics of water quality in an area with low or "background" concentrations of pollutants within the Reconquista River system in order to better define levels of pollution in the main system. In order to describe the dynamics of water quality in the background area, we propose a methodology based on flow estimation with the instantaneous unit hydrograph model and on measurements of physical and chemical water variables under different hydrological conditions. Because of high dissolved oxygen and low ammonium and o-phosphate concentrations, the Arroyo Durazno, a tributary stream of the Reconquista River, is defined as a background area. When a storm event begins, the concentration of nitrates and the electrical conductivity diminish. An increase in dissolved organic carbon suggests an important input of carbon from hillslope runoff. The proportion of fulvic and humic acids also increases. On the receding limb of the hydrograph, nitrate concentration was lower than during maximum flow and organic carbon concentration remained high. This behavior, known as the "flushing effect", suggests that the soluble material accumulated in the drainage area during dry periods is transported to the stream by leaching or "lixiviation" and surface runoff, thus raising solute concentrations during the first few hours of the storm. Water quality changes rapidly, even in background areas, due to its dependence on the flow. The methodology followed in this paper can also be applied to other basins with similar characteristics. Due to the difficulty in defining baseline areas for surface waters, a knowledge of background water quality and its dynamics is essential for understanding pollution trends and anthropogenic impacts on rivers. [ABSTRACT FROM AUTHOR]

In this paper we show how rational expectations equilibrium models with asymmetric information, without market frictions, can generate extreme comovements in asset prices. Information asymmetries generate a multiplier effect on price correlation - a World Bank definition of financial contagion. This is shown in two frameworks: perfect and imperfect competition. In the first framework, we also model a version of home-bias, showing why information sharing explains crosscountry capital flows. In the second framework, we provide closed form solutions for a model with multiple insiders and assets that generalize the ideas in [10]. [ABSTRACT FROM AUTHOR]

During recent years, numerous studies have examined the Buenos Aires urban climate, but the relationship between large-scale weather conditions and the Buenos Aires urban heat island (UHI) intensity has not been studied. The goal of this paper is to apply an objective synoptic climatological method to identify homogeneous air masses or weather types affecting Buenos Aires during winter, and to relate the results to the UHI intensity. A K-means clustering method was used to define six different air masses considering the 03:00, 09:00, 15:00 and 21:00 LT surface observations of dry bulb temperature, dew point, cloud cover, atmospheric pressure and wind direction and velocity at Ezeiza, the most rural meteorological station of the Buenos Aires metropolitan area (Fig. 1). Results show that the mean UHI intensity is at its maximum (2.8 °C) a few hours before sunrise when conditions are dominated by cold air masses associated with cold-core anticyclones, weak winds and low cloud cover. Inverse heat islands are found during the afternoon for all air masses indicating that surface processes are not dominant at that time. The relatively infrequent and warmest air mass is the only one that presents a mean negative urban-rural temperature difference (m0.1 °C) during the afternoon with the smallest diurnal cycle of the UHI intensity probably due to the prevailing high humidity and cloudy sky conditions. The paper provides an insight into the Buenos Aires urban-rural temperature difference under a variety of winter weather types and results could be useful to improve local daily temperature forecasts for the metropolitan area of Buenos Aires on the basis of the routine forecasts of weather types. [ABSTRACT FROM AUTHOR]

This paper presents a framework to measure unfairness in certain outcomes, like education attendance or basic health services consumption. The determinants of an individual outcome are divided into socially acceptable and unacceptable sources of differences in that outcome. To detect an unfair situation, comparisons are restricted to those individuals who share the same value of the vector of acceptable factors. The relevant argument to compare is the expectation of the outcome conditional on the vector of unacceptable variables. Unfairness is related to inequality in the distribution of those conditional expectations across individuals. An illustration of the framework is presented for the case of high school attendance in the Greater Buenos Aires area and other Argentine cities. [ABSTRACT FROM AUTHOR]

The following paper explores the experience of narrative Foresight applied to the use of the scenario method in Argentina in the light of the contributions of critical Future Studies concerning the narrative dimension in the last years. This research is specifically focused on analyzing applications of the scenario method in an institute of technology development in Argentina ('Instituto Nacional de Tecnología Agropecuaria') using the causal layered analysis as a method of examination and adopting the narrative Foresight approach. We analyze how the narrative approach permeates the scenario method in the process of development, thus increasing the potential usefulness and impact of the method. Moreover, we also reflect on the utility of this approach in order to increase the strategic vision of complex organizations which are shaped, to a great extent, by linear schemes of thought where the empiric dimension of reality operates with a value of truth. [ABSTRACT FROM AUTHOR]

Conflicts over land use and ownership are common in South America and generate frequent confrontations among indigenous peoples, small-scale farmers, and large-scale agricultural producers. We argue in this paper that an accurate identification of these conflicts, together with a participatory evaluation of their importance, will increase the social legitimacy of land use planning processes, rendering decision-making more sustainable in the long term. We describe here a participatory, multi-criteria conflict assessment model developed to identify, locate, and categorize land tenure and use conflicts. The model was applied to the case of the 'Chaco' region of the province of Salta, in northwestern Argentina. Basic geographic, cadastral, and social information needed to apply the model was made spatially explicit on a Geographic Information System. Results illustrate the contrasting perceptions of different stakeholders (government officials, social and environmental non-governmental organizations, large-scale agricultural producers, and scholars) on the intensity of land use conflicts in the study area. These results can help better understand and address land tenure conflicts in areas with different cultures and conflicting social and enviornmental interests. [ABSTRACT FROM AUTHOR]

Previously unknown postharvest rots in Packham's Triumph pear were detected in a batch of long-term cold-stored fruit during 2022 in North Patagonia, Argentina. Rots were characterized according to their symptoms and the causal agent was isolated and identified through cultural and molecular methods. Pathogenicity tests were performed on different pear cultivars both at 20 °C and under storage conditions (0 °C − 95% RH). Koch's postulates were fulfilled by re-isolation of the pathogen. Our results indicated that Phacidiopycnis pyri was the causal agent of postharvest rot in the fruit examined. This would constitute the first report of P. pyri as a causal agent of postharvest decay in Argentina. [ABSTRACT FROM AUTHOR]

We applied elastic thermobarometry on garnet-bearing migmatites along two transects through the crustal section at Sierra Valle Fértil-La Huerta, Argentina. We performed quartz-in-garnet barometry and zircon-in-garnet thermometry on metapelites from different paleo-depths across the crustal section. Our work recovers entrapment pressures ranging from 240 to 1330 MPa and entrapment temperatures between 691 and 1574 °C. The entrapment conditions are broadly consistent with anticipated pressures and temperatures along the crustal section derived previously using conventional, thermodynamic thermobarometers. The quartz-in-garnet barometer reproduces those conventionally established entrapment conditions when samples only experienced conditions within the alpha-quartz stability field. Raman-derived pressures for samples that experienced beta-quartz reference conditions are commonly much higher than those established by conventional barometry. Samples that preserve compressive (positive) residual pressures best reproduce reference entrapment pressures. Entrapment temperatures show high variability and overestimation of temperature conditions compared to conventional results. These results indicate elastic thermobarometry over- or under-estimates crystallization conditions in rocks crystallized at high temperatures, as is common in the Famatinian Arc deep-crust. We suggest that modeling quartz behavior across the alpha–beta transition may present challenges, as does shape maturation, viscous deformation, and radiation damage in zircon. [ABSTRACT FROM AUTHOR]

Environmental problems on a global scale (such as climate change) are of increasing concern in the scholar. However, it is unclear to what extent society is aware of the severity of these problems. The aim of this study is to advance our knowledge about the environmental perceptions of citizens, with the understanding that citizen participation and action are key to mitigating environmental problems. Specifically, we aim to determine the degree of importance of demographic and sociocultural factors in this perception. To this end, data from 506 questionnaires carried out in Spain and Argentina were analysed. Quantitative data were treated using multivariate analysis based on multiple logistic regression. The results showed that demographic variables, such as location and age, have a greater influence than sociocultural variables, such as profession and sources of environmental information, in the perception of environmental problems. Our findings show that the analysis of environmental perception is a useful tool both for incorporating the point of view of local actors in public policies and for defining effective strategies for action in participatory management. They also show that the different age, occupation and profession of the population must be taken into account and that, to address specific environmental problems, it is necessary to carry out diagnoses focussed on demographic factors, mainly to find out which aspects should be strengthened through programmes and projects aimed at solving environmental problems. It is important to bear in mind that the behaviour of local actors is related to their environmental perception. [ABSTRACT FROM AUTHOR]

Background: The chilla or grey fox (Lycalopex griseus) is a native species from continental Chile and neighboring areas of Argentina. It was introduced to Isla Grande de Tierra del Fuego in 1951 and began to increase its abundance, to the chagrin of local sheep ranchers. Since 1998, its hunting has been authorized. Here we update information on the density, abundance, and activity of this fox in the Chilean sector of Tierra del Fuego Island, to evaluate its population trend since the last census conducted by the Servicio Agrícola y Ganadero (SAG) in 2007. Methods and results: We carried out two fox censuses on a 941-km transect on public roads, divided into eight routes, from October to November (spring) of 2021 and 2022, following the same design used by SAG for the fox assessments carried out from 1999 to 2007. We report a reduction of > 50% in the density and abundance of chilla foxes with respect to the 2007 estimate, which could be attributed to the interference by free-ranging dogs (Canis lupus familiaris), through restricting the use of space by the fox, while transmitting diseases and parasites, and to human hunting pressure and vehicle collisions. Discussion: The chilla fox decline highlights the need for an in-depth study to determine the ecological and socioeconomic impact of this exotic species on the ecosystems of Tierra del Fuego Island and the desirability of its management, if needed. [ABSTRACT FROM AUTHOR]

This paper describes a three-dimensional numerical model of heat flux using finite-difference approximation for the simulation, prediction, and visualization of sediment, water, and air temperature, applied in Villa del Mar saltmarsh, Bahía Blanca Estuary, Argentina. To make this computation, we develop an open-source software tool called Hemera 1.0 which is characterized by having little complexity and low hardware requirements. The model considers three heat transfer processes: diffusion, convection, and radiation, using bulk aerodynamic formulas as boundary conditions between the interfaces. The aforementioned model was applied for the month of January 2009. The model reproduced adequately the physical processes of the heat balance and showed an adequate response to changes in the boundary conditions. In addition, according to the model design, meteorological and oceanographic data and some soil properties are the only data input used for modeling. It is easily adaptable to other environments such us lakes and reservoirs, among others, in order to carry out similar studies. [ABSTRACT FROM AUTHOR]

Fish as bioindicators are a widely used tool for environmental monitoring of freshwater ecosystems worldwide. However, its adaptation to temperate Neotropical streams constitutes a challenge due to the presence of pauperised ichthyofauna with high tolerance to environmental degradation. We designed, evaluated, and validated an Index of Biotic Integrity (IBI) that uses fish as bioindicators of the ecological integrity of streams of the Pampa Plain, Argentina. An integral characterization of the environmental conditions (water quality, habitat structure, and riparian condition) and fish assemblages were performed in 17 study sites (natural grasslands, urban, and livestock reaches). The IBI was designed with 10 metrics and showed to be sensitive to different environmental conditions due to significant differences between study sites and land uses. The IBI also showed to be responsive due to its significant associations with water quality, habitat structure variables, and some multimetric indexes. Moreover, when validated against a recently fish database, it demonstrated to be sensitive for use in other temperate streams exposed to similar environmental conditions. An integral environmental assessment as the one designed can lead to optimized strategies for the management and conservation of these fragile ecosystems. [ABSTRACT FROM AUTHOR]

Continental arcs are associated with volcanism concentrated into two main belts—the main arc and back arc, often separated by fold and thrust belts. The Loicas Trough, Argentina, is a post-orogenic extensional feature that obliquely cuts the fold and thrust belts. The trough hosts large Pliocene–Holocene volcanic centres, including Domuyo and Tromen, that lie between the main arc and back arc and thus provide a rare window into this setting. We present major and trace element data for the Loicas Trough, which we combine with geochemical modelling using the Magma Chamber Simulator (MCS) to explore the origin and evolution of the volcanism. The lavas display a wide continuous range from alkaline basalts to subalkaline rhyolites. Trace elements reveal variable extents of arc enrichment (2 < Nb/U < 28), which correlate with proximity to the trench and differentiation indices. Our results and MCS models indicate that the Loicas Trough parental magmas formed from compositionally zoned mantle. Best-fit models indicate that the differentiation occurs at middle and upper crustal levels, in sharp contrast to lower crustal hot zones beneath main arcs. Assimilation of partial crustal melts drives compositional evolution and obscures source signatures. Pure or high fraction end-member partial crustal melts are also identified at Domuyo based on their low Ba (~ 250 ppm) and moderate Sc contents (~ 8 ppm). We find evidence of similar lavas in transtensional settings adjacent to continental arcs worldwide, which do not adhere to the main versus back arc volcanism binary. We suggest the term arc-adjacent magmatism, where compositions are mainly controlled by extensive assimilation and reworking in the middle to upper crust. [ABSTRACT FROM AUTHOR]

Background: The conversion of forests into agricultural lands can be a threat because the forests carbon stored could be a source of emissions. The capacity to improve the predictions on the consequences of land use change depends on the identification of factors that influence carbon pools. We investigated the key driving factors of tree biomass and soil carbon pools in xerophytic forests in northeastern Argentina. Based on analyses of forest structure variables and abiotic factors (topography and soil properties) from 18 mature forests, we evaluated carbon pools using uni- and multivariate (redundancy analysis) methods. Results: The total carbon pool was estimated at 102.4 ± 24.0 Mg ha−1. Soil organic carbon storage is the single largest carbon pool relative to tree biomass, representing 73.1% of total carbon. Tree canopy cover and basal area were positively correlated with biomass carbon pool (r = 0.77 and r = 0.73, p < 0.001, respectively), proving to be significant drivers of carbon storage in this compartment. Slope, soil clay content and cation-exchange capacity had a better explanation for the variability in soil carbon pools, and all showed significant positive correlations with soil carbon pools (r = 0.64, 0.60 and 0.50; p < 0.05, respectively). The vertisols showed a 27.8% higher soil carbon stock than alfisols. Conclusions: The relevance of our study stems from a dearth of information on carbon pools and their drivers in xerophytic forests, and in particular, the importance of this ecosystems' type for Argentina, because they cover 81.9% of native forest area. Basal area and tree canopy cover exert a strong effect on the carbon pool in tree biomass but not in the soil. The results suggests that there is a potentially major SOC accumulation in forests located in slightly sloping areas and soils with higher topsoil clay content, such as vertisols. This could provide an important reference for implementing forestry carbon sink projects. [ABSTRACT FROM AUTHOR]

Insect faunas from the latest Cretaceous are poorly known worldwide. Particularly, in the Southern Hemisphere, there is a gap regarding insect assemblages in the Campanian-Maastrichtian interval. Here we present an insect assemblage from the Maastrichtian Chorrillo Formation, southern Argentina, represented by well-preserved and non-deformed, chitinous microscopic remains including head capsules, wings and scales. Identified clades include Chironomidae dipterans, Coelolepida lepidopterans, and Ephemeroptera. The assemblage taxonomically resembles those of Cenozoic age, rather than other Mesozoic assemblages, in being composed by diverse chironomids and lepidopterans. To the best of our knowledge, present discovery constitutes the first insect body fossils for the Maastrichtian in the Southern Hemisphere, thus filling the gap between well-known Early Cretaceous entomofaunas and those of Paleogene age. The presented evidence shows that modern clades of chironomids were already dominant and diversified by the end of the Cretaceous, in concert with the parallel radiation of aquatic angiosperms which became dominant in freshwater habitats. This exceptional finding encourages the active search of microscopic remains of fossil arthropods in other geological units, which could provide a unique way of enhancing our knowledge on the past diversity of the clade. An insect assemblage gathered from the Chorrillo Formation in Argentina constitutes an important set of insect body fossils for the Maastrichtian interval in the Southern Hemisphere. [ABSTRACT FROM AUTHOR]

Sustainability is a vivid and important issue for financial markets. The financial markets discuss the sustainability' s advantages. This study intends to reveal the nexus of sustainability risk and market returns. It is the first study that attempts to understand the sustainability' effects on market returns. The five sub-indexes of Global Sustainable Competitiveness were used for sustainability performances. The sub-indexes are governance performance, intellectual capital, natural capital, social capital, and resource intensity. Also inflation rate and gross domestic product growth rate added the model as control variables. The dataset was from 2013 to 2020 for all G20 countries except Argentina. The results showed the all macroeconomic and sustainability factors but governance performance are important for stock market returns. Governance performance does not impact the market returns. The macroeconomic factors are more effective than sustainability factors for the returns. [ABSTRACT FROM AUTHOR]

The soy expansion model in Argentina generates structural changes in traditional lifestyles, which can be associated with different biophysical and socioeconomic impacts. To explore this issue, we apply an innovative method for integrated assessment-the multi-scale integrated analysis of societal and ecosystem metabolism framework-to characterize two communities in the Chaco Region, Province of Formosa, North of Argentina. These communities have recently experienced the expansion of soy production, altering their economic activity, energy consumption patterns, land use and human time allocation. The integrated characterization presented in the paper illustrates the differences (biophysical, socioeconomic and historical) between the two communities that can be associated with different responses. The analysis of the factors behind these differences has important policy implications for the sustainable development of local communities in the area. [ABSTRACT FROM AUTHOR]