Thesis (Ph.D. Agriculture (Agricultural Economics)) -- University of Limpopo, 2022 / In South Africa, the presence of inland waterbodies provides opportunities for households to engage in fishing activities. The existence of fish and the availability of several waterbodies in the country's inland provinces provide households with alternative means of generating income and food security. With the prevalence of food insecurity, high unemployment, and poverty in the country, inland fisheries serve as an economic safety net, food, and source of income for rural poor households who live near impoundments. However, policymakers in South Africa have overlooked inland fisheries as a means of supporting rural livelihoods. Furthermore, the sector's economic and social contribution is frequently overlooked and underappreciated. Thus, inland fisheries are classified as informal due to the lack of legislation, despite the fact that rural households rely on this sector for income and food. Furthermore, the inland fisheries value chain is short, with little evidence of post-harvesting activities, and the roles and functions of rural households in this value chain are unknown. Despite this, inland fisheries provide a low-cost source of protein for households, and hence this sector has the potential to help reduce poverty, unemployment, and food insecurity. Given this background information, the study aimed at assessing the contribution of inland fisheries to income generation and food security in the Limpopo Province of South Africa. The objectives of the study were to identify and describe the socio-economic characteristics of households and their different roles and functions played along the inland fisheries value chain in the Limpopo Province, to determine the contribution of inland fisheries to household income in the study area and to determine the contribution of inland fisheries to household food security in the study area. The study was conducted within three districts of the Limpopo Province namely, Sekhukhune District Municipality (SDM), Mopani District Municipality (MDM) and Vhembe District Municipality (VDM). Multistage and proportional sampling procedures were used to select 400 participants. In the study, both fishing and non-fishing households were interviewed. The motive behind interviewing non-fishing households is that they are mostly consumers of inland fish. Therefore, snowball and purposive sampling techniques were used to identify households who participate in inland fisheries. Snowball and the Convenient sampling technique were also used to identify the role players of inland fisheries. This was done to obtain information about the roles that households perform along the value chain of inland fisheries. Of the 400 households, about 193 are fishers who play either single or multiple roles within the value chain. A structured questionnaire was therefore used to collect data to achieve the objectives of the study. The collected data was captured on Statistical Package for Social Science (SPSS) Version 27 for analysis. Several analytical tools from SPSS were employed to run the analysis. For instance, the descriptive statistics was used to identify and describe the socio-economic characteristics of households and their different roles and functions played along the inland fisheries value chain in the Limpopo Province. On the other hand, Pearson Chi-square and Pearson Correlation Moment were used to check the relationship between the socio economic characteristics of households and their functions along the inland fisheries value chain. To determine the contribution of inland fisheries to household income, the study calculated the share of both fishing and non-fishing income activities to the total household income of households who only participate in inland fisheries. This was derived by using income share. To check the level of income diversification for fishing households, the study utilised the Simpson Income Diversity index (SID). The Multiple Linear Regression model was used to analyse factors that influence the income of fishing households. To determine the contribution of inland fisheries to household income, two food security measures were used. This includes Household Dietary Diversity Score (HDDS) and Household Food Insecurity Access Scale (HFIAS). Data were analysed for both fishing and non-fishing households to check the food security differences. Binary Logistic Regression model was employed to analyse the determinants of rural households’ dietary diversity using HDDS which was grouped into Low dietary diversity and High dietary diversity. Furthermore, Multinomial Logistic Regression model was used to determine the effects of inland fisheries on household food security status. Based on the findings, the study concludes that males dominate inland fisheries activities over females. Fishing is practised for food by both males and females, but there is also an aspect of income generation. Furthermore, most fishers prefer to capture fish at state dams, with Tilapia being the most common species in all the three investigated districts. However, Carp, Bass and Catfish are also amongst the preferred fish species. Additionally, households are likely to consume fish from inland waters at least once a week. The findings also show that selling raw fish contributes more to the overall household income in all the three districts. On average, households in SDM and VDM have a medium level of income diversity, whereas households in MDM have a low level of income diversity. Furthermore, the marital status of the household head, access to credit, and average quantity of fish are among the factors influencing the income of fishing households, whereas level of education, distance to fishing area, and number of years fishing are some of the determinants of dietary diversity. Similarly, gender of the household head, total household income, and type of agricultural activity are some of the significant variables that influence the food security status households in the Limpopo Province. Additionally, the results show that there is a significant difference between the household food security of small-scale fishers, subsistence fishers, recreational fishers and non-fishing households. However, households in SDM and VDM are likely to be mildly food insecure where else households in MDM are likely to be severely food insecure. The study found that rural households in the study area play various roles within the inland fisheries value chain. These roles include input suppliers, fishers, traders, processors, and consumers. Additionally, there is exist a relationship between socio-economic characteristics of the households and their functions along the inland fisheries value chain. Lastly, the study concludes that the value chain of inland fisheries is short due to the lack of exports and formal markets in the study area. To this end, the study recommends that policy makers should recognise inland fisheries as another way of sustaining rural livelihoods translating to income and food security. Moreover, awareness of the inclusion of inland fish in household food and the available opportunities for rural households in the value chain should be given attention by the government and relevant institutions. However, sustainable fishing practices is the central issue that should be prioritised by households under the guidance of the government to maintain a long and lasting livelihoods. / Nationa Research Foundation (NRF)

Thesis (Ph.D. (Agricultural Economics )) -- University of Limpopo, 2021 / Regardless of the strategies adopted globally and nationwide to fight food insecurity within communities, particularly in the rural context, poverty becomes a major constituent which translates to most rural households experiencing food insecurity shocks. Given the high unemployment rate in South Africa which triggers several household’s vulnerability to food insecurity, the country has diverse natural resources which include indigenous plants such as Indigenous Leafy Vegetables (ILVs), which can be used as food and for business purposes by its residents. Irrespective of the diversity of ILVs in South Africa, there is a significant decline in the production and consumption of ILVs particularly in rural areas where these vegetables are mostly available. In addition, production and consumption of ILVs may not only address food insecurity but these vegetables may benefit households through the income obtained from their sales. The income generated from sales of ILVs may therefore assist towards improving and sustaining rural livelihood needs. Given this background information, the study aimed at assessing ILV production for income generation and food security among rural households in the Eastern Cape Province (ECP) of South Africa. The study was conducted within the three district municipalities of the ECP which were selected because statistics report these districts to be the most affected areas by poverty within the province. These districts are OR Tambo District Municipality (ORTDM), Alfred Nzo District Municipality (ANDM) and Joe Gqabi District Municipality (JGDM). Multistage and proportional random sampling procedures were employed to select households which could participate in the study. Thus, 407 households within these three (3) districts municipalities were used for the purposes of the study. The study also included interviewing role players within the ILV production value chain, thus a snowball sampling procedure was used to select role players. Sixteen hawkers and three input suppliers were interviewed from the three district municipalities. In addition, from the 407 households that were interviewed, 260 households from the three district municipalities reported to be producers of ILVs. A structured questionnaire was therefore used to collect pertaining data allied in achieving the aim of the study. The collected data was captured using Excel 2016, after data cleaning, it was then exported to Statistical Package for Social Sciences (SPSS) version 25 for analysis. Numerous analytical models were used from SPSS 25. For instance, to identify and describe socio-economic characteristics of households, to assess the most produced ILVs from the study areas and to identify role players within the ILV production value chain, descriptive statistics in a form of means, percentages, frequencies, and standard deviation was used. To determine factors which influence production of ILVs, a Binary Logistic Regression Model was used. A Multinomial Logistic Regression model was used to determine factors which influence different uses of ILVs by households and to determine factors influencing food security status among households. A gross margin analysis was used to estimate viability from each ILV produced, harvested and sold, while Household Food Insecurity Access Scale (HFIAS) was used to measure food security status among households. Lastly, a correlation matrix was also used to determine the relationship between the role players and their functions among the ILV production value chain. Based on the results, the study therefore concluded that, from the three district municipalities used in the study, there are various ILVs growing naturally and produced. The production of ILVs from these municipalities is habituated by socio economic characteristics of households, wherein households use ILVs for various purposes which include these vegetables as source of food, medicine and livestock feed. The use of ILVs among households is influenced by socio-economic characteristics and seasonal availability of ILVs in ORTDM, while in ANDM and JGDM, the use of ILVs by households is conditioned by socio-economic characteristics of households, knowledge/ awareness related to nutrition and health benefits of ILVs and seasonal production of ILVs. Furthermore, this research concludes that, ILVs have a potential of diversifying diets and addressing food insecurity problems within rural parts of the three districts. Given the positive gross margins from the three districts, production and selling of ILVs has a potential to contribute to rural household income. Lastly, the study concludes that, the ILV production value chain system lacks governmental support in the form of institutional engagement since there is no evidence of extension officer support from these three district municipalities concerning ILVs production. To this end, the study recommends that, policy makers should further establish inclusion of ILVs in both farming and food systems. Also, government and related institutions which focus on sustainable rural development must intervene in promoting production of ILVs particularly within rural contexts since production of these vegetables may alleviate poverty through job creation, addressing food insecurity and income generation. Thus, a successful intervention of government and policy makers in ILV production would have a potential of translating to sustainable rural livelihoods / National Research Foundation (NRF)

No description available.

Institute for Rural Development / PhDRDV

International climate mitigation agendas increasingly focus on the conservation of tropical forests such as the Amazon due to their high potential of sequestering large amounts of carbon. At the same time, Peru’s Amazonian frontier is increasingly subject to market pressures and other factors contributing to deforestation and the expansion of the agricultural frontier. In the face of these processes, the perspectives of local people and indigenous communities are often rendered invisible. Therefore, it becomes increasingly relevant to align goals of forest conservation with strategies to not compromise livelihood needs for rural populations. This thesis explores unheard perspectives of local people and the corresponding struggles to make a life in the Peruvian Amazon. More concrete, it is a case study on livelihoods in the indigenous community Naranjal in San Martín, one of the upper eastern jungle regions of Peru. Through using the conceptual lens of the ‘Extended Livelihood Framework’ and theories rooted in political ecology, the different livelihood activities are analysed both on the village and household level as well as in relation to wider political trends influencing these. Methodologically, qualitative PRA tools such as semi-structured interviews with households and key informants were used. The Findings demonstrate household complexity and livelihood diversity in which tensions between the different activities followed by villagers arise. The contested institutional landscape around Naranjal forms part of this puzzle. A crucial concern is the access to livelihood resources such as old-growth forests and farming land. These are in turn influenced by external ecological and demographic changes as well as political interests by the Peruvian state. Access mechanisms such as social networks and social identity in terms of indigeneity as well as farmer’s local knowledge on ecologies were highlighted, among others. It is argued that political and development actors should consider features of these mechanisms and livelihoods found in Naranjal, as they hold potential to contribute to a more sustainable future for indigenous communities in rural Amazonia. Equally, more collaboration among different development interventions should be aspired to build on synergies and head towards an integrative development approach which includes and considers villager’s own concerns and perspectives.

The aim of this thesis is to explore how livelihoods are recovering in the aftermath of the 2004 tsunami in Sri Lanka through the lens of the Sustainable Livelihoods Framework and the social networks approach—methods of inquiry that have gained considerable impetus in livelihoods research. The study is conducted with reference to two tsunami-affected fisher villages in the Hambantota District, Southern Province. It employs a qualitative ethnographic methodology that examines narratives emerging from households, local officials of government and non-government organizations, office bearers of community-based organizations, local politicians, village leaders, and key informants. Focus is on evaluating how particular roles, activities, and behaviour are given importance by these groups in specific post-tsunami contexts and how these aspects relate to broader conceptualizations of social networks, informal politics, social inequality, and ethnographic research in South Asia. The findings support four major contributions to the literature. First, social networks are significant as an object of study and a method of inquiry in understanding livelihoods post-disaster. Second, paying heed to varied forms of informal politics is critical in post-disaster analyses. Third, the concept of intersectionality can extend and improve upon prevailing approaches to social inequality in disaster recovery. Fourth, ethnographic research is valuable for understanding everyday networks, informal politics, and change in South Asia. Collectively, these findings present a human geography of post-tsunami livelihoods in Sri Lanka, where networks, politics, and inequalities, which form an essential part of everyday livelihoods, have been reproduced in disaster recovery. The thesis constitutes a means of offering expertise in the sphere of development practice, highlighting internal differentiation in access to aid as a key issue that needs to be identified and systematically addressed by policymakers and practitioners.

In this thesis natural science is combined with environmental psychology in order to determine how deforestation and subsequent agricultural expansion in the Peruvian highland jungle has affected the natural environment and rural livelihoods. This region is part of one of the most biodiverse areas on Earth and is also exposed to high pressure from deforestation that threatens the ecosystems as well as the well-being of local populations. The problem stretches beyond the upper Amazon since the region constitutes headwaters to theAmazon Riverand is part of the most important forest ecosystem of the world. This study evaluates the relative controls of human induced land-cover change and natural factors on the chemical status of soils, stream waters, and sediments, mainly through a spatial sampling design. The field work was located to two adjacent river basins underlain by sedimentary rocks. Streams of 48 independent sub-basins, the two main rivers, 80 upland soil sites (weakly developed soils on sandstone and siltstone) and four vertical profiles of floodplain sediments were sampled and analysed for major and trace elements, including nutrients and potentially toxic metals. Further, perceptions of environmental changes were investigated through a combination of quantitative and qualitative interview data collected from 51 smallholder farmers. Soils of primary forests were found to be chemically similar to those of regenerated forests and agricultural land-covers (pastures and coffee plantations), and differences in chemical concentrations between streams draining areas to varying degrees covered by forest were assigned to natural variability. In addition, the chemical composition of alluvial deposits was similar in the two drainage basins despite a substantial difference in exploitation degree (30 % versus 70 % cleared from forest). Thus, no evidence was found of long-term changes in the geochemistry of the Subandean river basins as a result of the conversion of primary forest to agricultural land-uses. The farmers, however, perceived an overall increase in environmental degradation as well as a change towards drier and warmer climatic conditions. The climate change was reported to be the main factor responsible for a negative trend in life quality (rural livelihoods). The results may be used in the work of identifying priorities and key factors necessary for environmental and socioeconomic sustainability in the upper Amazon. / En esta tesis se combina la ciencia natural con la psicología ambiental con el fin de determinar como la ampliación de la frontera agrícola ha afectado el medio ambiente y los medios de vida en la selva alta del Perú. Esta región forma parte de una de las zonas con mayor biodiversidad en el planeta y a su vez está expuesta a una alta presión de la deforestación que amenaza a los ecosistemas, así como el bienestar de la población en esta zona. Así mismo, este problema se hace sentir mas allá de la selva alta ya que esta zona forma parte de las cabeceras del río Amazonas y pertenece al ecosistema forestal más importante del mundo. Este estudio evalúa los efectos de la agricultura de tala y quema, en comparación con los factores naturales, sobre las propiedades químicas de los suelos, las quebradas, y los sedimentos, principalmente a través de un diseño de muestreo espacial. El trabajo de campo se realizó en dos cuencas fluviales adyacentes que están compuestas por rocas sedimentarias. Quebradas de 48 sub-cuencas independientes, dos ríos principales, 80 localidades de suelo (poco desarrollados sobre areniscas y limolitas) y cuatro perfiles verticales de sedimentos fluviales fueron muestreados y analizados para los elementos mayores y menores, incluyendo nutrientes y metales potencialmente tóxicos. También se han investigado las percepciones sobre los cambios ambientales usando una combinación de datos cuantitativos y cualitativos, recopilados a través de entrevistas a 51 agricultores. Según los resultados no hubo diferencias significativas entre la química de suelos de bosques primarios y tierras agrícolas (pastos, plantaciones de café y de bosques secundarios). En cuanto a las quebradas, las diferencias en las concentraciones de sustancias químicas entre sub-cuencas afectadas por la deforestación en diferentes grados fueron asignados a una variabilidad natural. Además, la composición química de los depósitos aluviales fue similar en las dos cuencas a pesar de una diferencia sustancial en el grado de explotación (30 % en comparación con 70 % deforestado). Por lo tanto, no se encontró evidencia de cambios persistentes en la geoquímica de las cuencas Subandinas como resultado de la conversión de bosques a tierras agrícolas. Sin embargo los agricultores percibieron una tendencia general de aumento de la degradación del medio ambiente, así como un cambio en el clima a condiciones más secas y cálidas, lo cual fue reportado como el principal factor responsable de un cambio negativo en la calidad de vida. Estos resultados pueden ser utilizados en el trabajo de identificación de prioridades y factores claves para la sostenibilidad ambiental y socioeconómica en la selva alta.

This thesis analyses the highly structured and densely populated farmland surrounding Kakamega Forest (western Kenya) in a spatially-explicit manner. The interdisciplinary approach combines methodologies and technologies from different scientific disciplines: remote sensing with OBIA, GIS and spatially explicit modelling (geomatics and geographic science) with socio-economic as well as agro-economic considerations (human and social sciences) as well as cartographic science. Furthermore, the research is related to conservation biology (biological sciences). Based on an in-situ ground truthing and visual image interpretation, very high spatial resolution QuickBird satellite imagery covering 466 km² of farmland was analysed using the concept of object-based image analysis (OBIA). In an integrative workflow, statistical analysis and expert knowledge were combined to develop a sophisticated rule set. The classification result distinguishing 15 LULC classes was used alongside with temporally extrapolated and spatially re-distributed population data as well as socio-/agro-economic factors in order to create a spatially-explicit typology of the farmland and to model scenarios of rural livelihoods. The farmland typology distinguishes ten types of farmland: 3 sugarcane types (covering 48% of the area), 3 tea types (30%), 2 transitional types (15%), 1 steep terrain type (2%), and 1 central type (5%). The scenarios consider different developments of possible future yields and prices for the main agricultural products sugarcane, tea, and maize. Out of all farmland types, the ‘marginal sugarcane type’ is best prepared to cope with future problems. Besides a comparably low population density, a high share of land under cultivation of food crops coupled with a moderate cultivation of cash crops is characteristic for this type. As part of the research conducted, several novel methodologies were introduced. These include a new conceptual framework for categorizing parameter optimization studies, the area fitness rate (AFR) as a novel discrepancy measure, the technique of ‘classification-based nearest neighbour classification’ for classes which are difficult to separate from others, and a novel approach for accessing the accuracy of OBIA classifications. Finally, this thesis makes a number of recommendations and elaborates promising starting points for further scientific research. / Die vorliegende Arbeit untersucht räumlich-expliziten das stark strukturierte und dicht besiedelte Agrarland um den Kakamega Wald (Westkenia). Dabei kombiniert der interdisziplinäre Ansatz Methoden und Technologien verschiedener Wissenschaftsbereiche: die Fernerkundung mit der objekt-basierten Bildanalyse (OBIA), GIS und die räumlich-explizite Modellierung (Geoinformatik und Geographie) mit sozio- und agro-ökonomische Aspekten (Human- und Sozialwissenschaft) sowie der Kartographie. Zudem steht die Arbeit in Bezug zum Schutz der biologischen Vielfalt (Biologie). Ausgehend von einer Referenzdatenerfassung vor Ort und einer visuellen Bildinterpretation wurden räumlich sehr hochauflösende QuickBird-Satellitenbilddaten, die 466 km² des Agrarlandes abdecken, mit Hilfe von OBIA ausgewertet. In einem integrativen Ansatz wurden dabei statistische Verfahren und Expertenwissen kombiniert, um einen ausgefeilten Regelsatz zur Klassifizierung zu erzeugen. Das Klassifizierungsergebnis unterscheidet 15 Klassen der Landnutzung bzw. -bedeckung; zusammen mit zeitlich extrapolierten und räumlich neu verteilten Bevölkerungsdaten sowie sozio- und agro-ökonomischen Faktoren ermöglichte es, eine räumlich-explizite Typologie des Agrarlandes zu erstellen und Szenarien zum ländlichen Auskommen zu modellieren. Die Agrarlandtypologie unterscheidet zehn Landtypen: 3 Zuckerrohr-dominierte Typen (48% des Gebietes), 3 Tee-dominierte Typen (30%), 2 Übergangstypen (15%), 1 Typ steilen Geländes (2%) und 1 zentralen Typ (5%). Die Szenarien betrachten mögliche zukünftige Entwicklungen der Erträge und Preise der Hauptanbauarten Zuckerrohr, Tee und Mais. Von allen Agrarlandtypen ist der „marginal Zuckerrohr-dominierte Typ“ am besten gerüstet, um zukünftigen Problemen zu begegnen. Bezeichnend für diesen Typ sind – neben einer vergleichsweise geringen Bevölkerungsdichte – ein hoher Anteil an Nahrungsmittelanbau zusammen mit einem gemäßigten Anbau von exportorientierten Agrarprodukten. Als Teil der Forschungsarbeit werden verschiedene neuartige Methoden vorgestellt, u.a. ein neuer konzeptioneller Rahmen für das Kategorisieren von Studien zur Parameteroptimierung, die „area fitness rate“ (AFR) als neue Messgröße für Flächendiskrepanzen, die klassifikations-basierte Nächster-Nachbar Klassifizierung sowie ein Ansatz zum Bestimmen der Güte von OBIA-Klassifizierungen. Schließlich gibt die Arbeit eine Reihe von Empfehlungen und bietet vielversprechende Ausgangspunkte für weiterführende wissenschaftliche Forschungen.

L’agriculture et le secteur rural jouent un rôle primordial dans le processus de développement des pays à base agricole. Cett efonction ne peut être assurée qu’à l’aide de politiques publiques qui tiennent compte de la diversité et de la complexité desmilieux ruraux. Le préalable est donc d’avoir des connaissances approfondies de chaque contexte et des dynamiques qui ysont en cours. Ce travail propose alors d’analyser, dans une perspective microéconomique, les relations entre structurationsociale des milieux ruraux et transformation structurelle avec une application à Madagascar, dans la région d’Itasy. La class ede la Petite Prospérité, qui est une adaptation de la notion de classe moyenne en milieu rural pauvre, est alors utilisée commegrille d’analyse. A cette fin, la première étape de recherche consiste en une construction conceptuelle, théorique etméthodologique de la classe de la Petite Prospérité en mobilisant le cadre conceptuel des moyens d’existence ruraux afin deproduire un cadre d’analyse opérationnel. Dans un second temps, le cadre défini est mis en oeuvre dans la stratificationmultidimensionnelle de l’espace social en Itasy à l’aide d’une méthode de classification mixte sur des données quantitativesde 2008. Cette étape permet de mettre en évidence les différentes classes sociales et de Petites Prospérités en Itasy quireflètent l’hétérogénéité de la nature et de l’efficacité des moyens d’existence des ménages ruraux. Dans une troisième étape ,une analyse dynamique des groupes de Petites Prospérités est menée à l’aide de la combinaison de méthodes quantitatives etqualitatives sur une période d’observation longue. Plusieurs trajectoires associées aux différentes classes sont observées etpermettent de comprendre les processus de construction et de transformation des organisations productives familiales enItasy. La dernière étape du travail traite la problématique spécifique de la demande de crédit et de l’adéquation de l’offre surle marché financier en Itasy. Il apparait une forte segmentation de la demande de financement en fonction des groupessociaux et la difficulté de l’offre disponible à satisfaire leurs besoins, malgré l’existence de produits innovants. Des politiquesinclusives et adaptées à chaque classe de ménages s’avèrent donc nécessaires pour assurer un processus de transformationstructurelle rapide et harmonieux en Itasy. / Agriculture and rural sector play a key role in the development process of agriculture-based countries. This function can beensured only by public policy that takes into account the diversity and complexity of rural areas. It is therefore essential todeepen the knowledge of each context and the ongoing dynamics. This study introduces an analysis of the relationshipsbetween rural social structure and structural transformation through a microeconomic perspective, with an application inMadagascar, in the Itasy region. Specifically, the Moderate Prosperty class, which is an adaptation of the middle class notionto poor rural areas, is used as an analytical framework. To this end, the first step aims to conduct a conceptual, theoretical andmethodological construction of the Moderate Prosperity notion by using the rural livelihoods framework and provides anoperational conceptual framework. Second, the conceptual framework, thus defined, is used to implement a multidimensionalstratification of the social space in Itasy by conducting a classification method on quantitative data dating from 2008. Thisstep aims to define the various Moderate Prosperity and social classes that reflect the heterogeneity of the nature andprofitability of the rural households’ livelihoods. Third, a dynamic analysis of the Moderate Prosperity groups is conductedby combining quantitative with qualitative methods based on a longer observation period. Several trajectories linked to thevarious classes can be observed. They allow us to understand the construction and transformation process of the familyproductive organizations in Itasy. The last step uses the Moderate Prosperity framework to study the specific issue of thecredit demand and the supply adequacy on the financial market in Itasy. It appears that the financing demand is highlysegmented according to the social groups and the available supply cannot meet their financing needs, despite the existence ofinnovative products. Inclusive policies that are adapted to each household profile are therefore necessary to ensure a rapidand harmonious structural transformation in Itasy.

PhDGEO / Department of Geography and Geo-Information Sciences / See the attached abstract below