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In Sierra Leone, at the moment 10 out of the total 14 districts are faced with the problem of large-scale land investments for industrial agriculture (oil palm, sugarcane…). The production is mainly for the local, regional and world market. There are quite many of these investments in the planning stage, while some are extending their operations by taking more land from communities or are already at the production stage. Studies and media reports have claimed a number of negative impacts felt in communities hosting these companies, ranging from loss of land, food insecurity, increase in poverty to loss of livelihoods, environmental degradation as well as social and cultural problems. The goal of this thesis is to examine the impacts of the operations of “Socfin Agriculture Company” on food security of local communities in Malen Chiefdom, Pujehun District of Sierra Leone.
Both quantitative and qualitative research methods are used for data collection, analyses, and interpretation of results. The research uses household income and expenditure to compare household food security before and after the start of the company’s operations. It examines consequences of community’s loss of land to support household food production versus casual wage earn from employment created by the company to meet household food security.
The results show a loss of household’s income sources and a significant decrease in households’ income. Households’ food crop production has reduced accompanied by a complete loss of cash crop farming. Households affected by the operations of the company have lost access to land and other natural resources that support food production. Furthermore, the company employs very few people in comparison to the total population of affected communities. Calculation of total wage earn from employment by the company cannot meet the staple food (rice) needs of the households. Also, households claimed a host of unfilled promises made by the company and national government at the onset of the operations of the company.
In conclusion, household food production is the most significant determinant for household food security, with regards to food availability, accessibility, utilization and stability of supply. Therefore, national government should carefully study and develop a framework that addresses food security of households impacted by the operations of the rapidly growing large-scale land investment companies and ensure a fair share of the local community in the economic development of the country and suggesting ways of improving access rights in the context of tenure.
Soils are complex, evolving systems that simultaneously shape and are shaped by numerous biotic and abiotic factors in a vast web of interactions that creates the conditions for the propagation of life and the maintenance of human societies. Yet, land use and land use change (LULUC) and anthropogenic climate change (CC) are forcing substantial and rapid alterations into soil’s properties and processes, thus affecting the functions and services derived from it. The resulting land degradation (LD) is now spread, according to recent estimates, over nearly 30 % of the world’s total land, mostly on the population dense and impoverished tropics, a zone predicted to withstand the worst impacts of CC. The Atlantic Forest in Brazil is a particularly vulnerable environment, and the unusual drought of 2014-2017 that hit its Southeastern region is likely the harbinger of a progressively drier future.
The way the prelude of what might be an increasingly frequent hazard affected farmers’ livelihoods and natural resources, and the manner in which they reacted to those impacts can thus reveal points of strength and fragility that could be respectively harnessed or addressed to develop a more sustainable agriculture and climate resilience. This master thesis focused on characterizing those impacts and reactions on distinct dairy production systems in two municipalities in Northwestern Rio de Janeiro: Santo Antônio de Pádua and Cambuci. Through interviews and in loci observations, the researcher collected data concerning environmental services (erosion prevention, soil cover and water provision), production variables (inputs and outputs), socio-economic information, farm system management and farmers’ future perspectives. The results show that dairy production systems in the region are heterogeneous and, although they may share common characteristics, drought outcomes were closely tied to the specificities of each farm. Ultimately, outcomes originated from differences in water supply, water demand, and feed availability, their subsequent change by the drought and farmers’ reaction to those changes at each property.
The Highland Plateau region, in San Luis Potosí, involves particular dynamics and needs from those presented within the rest of the state; its culture, vocation, mineral resources and territory, converge to give rise to a unique and particular region. The connectivity within the region has been decisive for its development, since two of the largest and most important national roads in go through this territory.
Despite comprehending about a half of the state's territory, this region has not managed to truly influence the state statistics neither economically nor socially; on the contrary, the employment rate has significantly decreased significantly, and also its population number.
Accordingly, this research aims to analyze the connectivity system within this region to strengthen and complement the development tools of these communities in a sustainable manner and, in this way, increase the welfare of the Highland Plateau population.
Throughout this investigation, it will be possible to understand how the location of this physical network, as well as for the use of resources for the satisfaction of the inhabitants, has been reflected in the communities within this region. Likewise, the statements made by state directors in charge of the economy, road network and social development within the region, will be studied. These statements will also be combined with a “functional grid analysis”, the connectivity between communities and their basic needs.
Desarrollo de Competencias para la Sustentabilidad, a través del Aprendizaje Basado en Escenarios
(2018)
La sustentabilidad, planteada como concepto y solución estratégica frente a la crisis contemporánea, supone diversos retos para la humanidad entre los que se encuentra la formación de individuos capaces de afrontar la complejidad de la problemática ambiental, así como de visualizar y desarrollar una sociedad libre, justa y en equilibrio.
Con el propósito de coadyuvar a dicho cambio, el presente trabajo se propuso investigar la contribución del Aprendizaje Basado en Escenarios al desarrollo de competencias para la sustentabilidad, tanto desde el punto de vista conceptual como práctico, diseñando un recurso educativo y realizando una prueba piloto en estudiantes de la Universidad Autónoma de San Luis Potosí. Los objetivos específicos fueron: (1) Identificar, seleccionar y formular el análisis sistémico de dos casos, uno en México y otro en Alemania, para mostrar la complejidad de la relación entre dimensiones de la sustentabilidad y los desafíos a los que se enfrentan los actores en la gestión de esta y, (2) Diseñar y probar un recurso educativo en torno a su contribución al desarrollo de las competencias de pensamiento crítico y pensamiento sistémico.
La prueba piloto del recurso educativo se realizó con un grupo multidisciplinario, integrando estudiantes de las licenciaturas: Ciencias de la Comunicación, Ciencias Ambientales y Salud, Ingeniería Agroindustrial, Psicología y Psicopedagogía.
Con base en entrevistas de valoración se llegó a la conclusión de que el aprendizaje basado en escenarios si permitió contribuir al desarrollo de competencias para la sustentabilidad. Los dos casos seleccionados: Río Rin y Río Verde resultaron eficaces al evidenciar la complejidad, así mismo, advirtieron los desafíos que resultan de la gestión de la sustentabilidad de ambos, mostrándose análogos. Por último, cabe mencionar que el desarrollo de la competencia interpersonal (diálogo y colaboración principalmente) que no estaba dentro de los objetivos de la tesis, se evidenció a partir de las entrevistas la valoración.
The increase in greenhouse gas emissions, mainly due to the burning of fossil fuels and land use change, has led to changes in the global climate. Agriculture is one of the economic sectors most vulnerable to the impacts generated by climate change. For this reason, the challenge facing humanity today is to develop innovative solutions to address the complexity of agricultural sustainability.
On the other hand, sugarcane is one of the crops that emits the most pollutants into the atmosphere, mainly due to the burning of sugarcane before and after harvesting. Most of these atmospheric pollutants are precursors of climate change and have an impact on the health and quality of life of communities. Moreover, this agricultural practice causes the gradual deterioration of the soil, directly affecting sugarcane production. Consequently, several sugarcane-producing countries have established regulations or dispositions to eliminate this agricultural practice, and one option to eliminate it is the mechanization of harvesting. However, its implementation implies social, environmental, and economic impacts that must be analyzed systemically to avoid potential failures during the technological transition process. It is for this reason that this research, through the MICMAC method, focused on identifying the variables associated with the reduction of sugarcane burning in Campos dos Goytacazes and Tamasopo, to subsequently analyze their direct and indirect interrelationship, and, thus, determine the opportunities and limitations of each locality for the reduction of sugarcane burning.
Through this analysis, it became evident that although the technological transition is an imminent step for the sustainability of sugarcane cultivation, certain factors such as legislation, technological innovation, and the perception of the stakeholders regarding the consequences of sugarcane burning, is what defines in the study sites the speed and subsequent success of this process of change towards green harvesting.
Plants have certain characteristics which allow them to respond to various environmental conditions, like changes in climate, water loss in the soil, lack of minerals; among others. In some of these so-called traits, the responses to climatic phenomena such as drought can be evidenced through morphological adaptations (spines, succulent tissues, trichomes, among others) or physiological adaptations (regulation of water potential at the cellular level, the concentration of nutrients, etc.)
In certain areas of Brazil such as the Mata Atlântica biome, drought events are increasingly occurring and affecting human activities and the environment, and it is required to understand if tree species with traits adapted to dry conditions are occurring in drought-prone areas. For this reason, it is intended to find out the potential of using morphological functional traits of woody species as indicators of dry conditions in the transition zone of the Atlantic Forest. RJ Brazil.
Therefore, this work was carried out considering a field phase in a drought-prone area known as “Mata de Tabuleiros” or Semideciduous Seasonal Lowland Forest that belongs to the domain of the Mata Atlântica, there were selected morphological traits in order to know which of them can give a hint as drought tolerant traits. On the other side, there was searched in the Rio de Janeiro Botanical Garden JABOT database for species with recorded characteristics related to drought adaptations. For the traits in the field, and the selected species from the database was elaborated a Species Distribution Model SDM in order to know how some climatic variables allow the distribution of species and morphological traits.
As main result there was elaborated a set of trait indicators that can be considered for further analysis in the region; and also the results of the SDM obtained at large scale for the Mata Atlântica for the species selected from the database, and the SDM for the traits analyzed in the field in the Mata de Tabuleiros. Besides that, the consultations with experts in the subject were an important input that allowed to carry out this research. The use of morphological and functional traits is important to understand the interactions between organisms and their environment, in this case, to cope and tolerate a climate phenomenon like drought.
Keywords: Mata de Tabuleiros, Drought tolerance, Morphological traits, Species Distribution Modeling
Chagas disease is a parasitic infection endemic to America, caused by the protozoan Trypanosoma cruzi and mainly transmitted to humans by contact with insect species of the Triatominae subfamily (Hemiptera). The disease is known to affect disproportionally rural impoverished human communities where it is known to cause premature death and is considered a social and economic burden. The Mexican government has made important progress into the detection, surveillance, treatment, and prevention of the disease in the last decades, however, Chagas disease has also been reported in areas where it had not been previously reported, and there are still barriers for access to treatment. In the state of San Luis Potosi, the disease is more studied in the east, nevertheless, it has been estimated that the reported cases of the entire state have been underestimated. New approaches to detect Chagas risk areas could help prioritize locations for Chagas disease education and prevention programs, detect cases of the disease in a timely manner, and provide access to the necessary treatments. The objective of this study was to identify risk areas for the transmission of Chagas disease in San Luis Potosí using species distribution modelling to estimate vectors and reservoirs’ distributions. To do this, firstly, important vectors and one reservoir species of T. cruzi were identified by reviewing their reported infection rates in literature and the number of times reported in Mexico. Next, species distribution models were calculated for the chosen vector and reservoir species present in the state. The models were done using the Maxent algorithm. Lastly, the resulting distribution models were combined into a risk map by thresholding the model outputs to produce binary predictions and then performing an overlap spatial analysis. Vector species were found to have suitable areas in 36.08% of the state’s territory while areas suitable for both vectors and reservoir were 7.4% of the state’s total area. While this figure may look small at first glance, the analysis suggests that 30% of the rural population and 52% of the urban population of the state are living in an area suitable for vectors and reservoir and therefore at risk. Species distribution modelling can be a powerful tool for identifying human populations at risk of contracting Chagas disease. In the future, including different species of reservoirs into the analysis could help to discover new risk areas in the state.
While global food production greatly exceeds dietary energy demand, undernutrition remains, and diets largely fail to ensure the health of the population. Agricultural biodiversity is crucial for the world’s food security, but genetic diversity has been degraded. In Mexico, the dietary transition towards processed foods has contributed to malnutrition and a rise of diet-related chronic diseases. Mexico’s indigenous people are conserving and creating valuable plant genetic resources in their swidden milpas and traditional agroforestry systems but remain the country’s most vulnerable population group. The Teenek (or Huastec), an indigenous group that habitat the Huasteca Potosina, a region in north-eastern Mexico cultivate a high diversity of edible plants in their home gardens (solar), milpas, and agroforestry systems (te’lom, or finca). However, migration has been leading to the abandonment of traditional farming in the region.
The objective of this study was to analyse if the managed agricultural biodiversity of the different traditional land use systems contributes to the food security of the farming households in the community of Jol Mom. Food availability and access were investigated. In total, 40 households were surveyed. Dietary patterns were identified through principal component analysis. Informal interviews, semi-structured interviews and participant observation allowed to account for the people’s own perceptions and provided additional insights. Findings showed that traditional Teenek farming systems are the source of a variety of nutritious foods and resulted to be the most important provider of fruits and vegetables. The average production diversity was 34 out of 56 crops, farmers cultivating more than one or two farming systems showed an increase of four and 11 produced species respectively. Production diversity was strongly correlated with food variety in a household’s diet, with an increment of one per 0.85 produced crop. Two main diverging dietary patterns were revealed, a westernized diet relying largely on purchased foods, to which the younger generation was more inclined, and a traditional diet characterized by a high consumption of cultivated products, mostly observed in the older households.
In conclusion, farming households in Jol Mom profit from the agricultural diversity of their production systems, either through the consumption of nutritious foods or by the sale of agricultural products. However, a tendency towards nutrient-poor diets was observed. Increasing agricultural diversity and consumption of locally produced foods might help to fight this trend but would require a valorisation of traditional foods and an appreciation of the contribution of indigenous people’s traditional agriculture to food security.
This thesis presents the perspective and basis for modeling of retail electricity price components in Germany. Detailed Python models are developed to provide predictions for yearly development of average network charges, EEG, StromNEV-19 and KWK surcharges for the period 2015-2035. For network charges and EEG surcharge, scenario-B (2035) from NEP2015 has been chosen as the model scenario. For KWK surcharge, the 2025 KWK share target, set by KWKG-2016, has been chosen as the model scenario. Individual component model results are validated against available academic literature and institutional reports. Model results for EEG surcharge, indicate an increasing yearly EEG costs till 2024, after which the expiring EEG plants of past will unburden the related high costs and EEG surcharge will drop but still be around 99% of 2015 level in 2035. Model results for network charges indicate a consistently increasing yearly trend owing to high grid investments needed for reaching the target RE share of 57%. KWK model results also indicate a growing KWK surcharge until 2020 which then would remain stagnant at that level onwards. All model results are collected under three consumption categories, namely, households, privileged and nonprivileged industries. The final results indicate that the average German household will face an overall increase of around 3.37 Cents/kWh in retail electricity prices (excluding VAT) till 2028, after which the retail prices will drop a little due to dropping EEG surcharge. The similar but slightly reduced trend can be seen for nonprivileged industrial consumption. The increment effect, however, is only minute for privileged industrial consumption due to high exemptions in EEG & KWK surcharges and reduced individual network charges.
Water risk assessment is becoming an essential part of any decision-making process in the business sector. In the world where freshwater resources are becoming scarcer, water risks are growing and causing high costs to businesses. Therefore, numerous frameworks, guidelines, methodologies, tools, and other approaches were developed during the last century. Various scholars have appeared to give an economic value or price for environment goods in order to understand trade-offs better. Nowadays, the corporate world tends to use different approaches to convert sustainability management data to the financial language of decision-makers. This study explores the possible ways for a company to measure the costs of water related risks. It examines how to convert water risks to financial risks using a Peruvian agricultural company. The results show, that from all today’s available frameworks, guidelines or tools there is no one commonly accepted and recognised as the best for water risk assessment and monetising. It was learned, that available tools could provide just a simple overview of possible water related risks and calculate their costs in a very general way. The work also highlights the importance of regular and appropriate data collection on the company level in order to be able to assess water risk related costs for the business.