The main objective of my dissertation is to analyze and compare the socio-ecological implications of the adoption of genetically modified (GM) seeds and alternative agroecological farming methods for farming communities in Alberta, Canada and Andhra Pradesh, India localities situated in contrasting geopolitical, socio-cultural, and structural-institutional contexts in the global economy. For this research, the adoption of GM canola in Alberta and GM cotton in Andhra Pradesh are used as comparative case studies to explore the qualitative impact of agricultural biotechnology on farming communities. Many studies have examined the potential impact of GM crops, but few have looked beyond economic cost-benefit analysis. In this dissertation, I examine social and cultural aspects of farmer decision-making in the adoption of the new seed technology, farmer receptivity to new cropping methods, knowledge translation between laboratory and farmer, and the impact of global knowledge-based technology on local knowledge systems, socio-cultural practices, the nature-society relationship, and gender relations. I use a global ethnography methodology and draw on a series of field interviews with farmers to provide sociological insight into how global processes of the Gene Revolution impact different farming communities in different localities in the world-economy. In this dissertation I argue that the debate about the new agricultural technologies (e.g. GM seeds), the environment and agrarian crises should not be narrowed to the question of new technologies per se. Rather it should be understood from an agrarian political ecology perspective articulating political economy (neoliberal governance at global, national and provincial levels, and the processes of dispossession of primary agricultural producers from their means and conditions of production), socio-cultural systems (the construction of hegemonic discourse about genetically modified organisms, agricultural deskilling, gender relations), and ecosystems (a process of mastering nature, monoculturization, environmental risks, metabolic rift) in the context of neoliberal globalization. My fieldwork study of the Gene Revolution provides closer, more fine-grained research and analysis of its impacts with sensitivity to local class and status, gender and cultural issues, and the ways in which farmers technology adoption decisions can dramatically alter overall quality of life, local knowledge systems, community development, the sustainability of agriculture and the ecosystem itself.

No description available.

The incidence of many arboviral diseases is largely associated with social and environmental conditions. Ross River virus (RRV) is the most prevalent arboviral disease in Australia. It has long been recognised that the transmission pattern of RRV is sensitive to socio-ecological factors including climate variation, population movement, mosquito-density and vegetation types. This study aimed to assess the relationships between socio-environmental variability and the transmission of RRV using spatio-temporal analytic methods. Computerised data files of daily RRV disease cases and daily climatic variables in Brisbane, Queensland during 1985-2001 were obtained from the Queensland Department of Health and the Australian Bureau of Meteorology, respectively. Available information on other socio-ecological factors was also collected from relevant government agencies as follows: 1) socio-demographic data from the Australia Bureau of Statistics; 2) information on vegetation (littoral wetlands, ephemeral wetlands, open freshwater, riparian vegetation, melaleuca open forests, wet eucalypt, open forests and other bushland) from Brisbane City Council; 3) tidal activities from the Queensland Department of Transport; and 4) mosquito-density from Brisbane City Council. Principal components analysis (PCA) was used as an exploratory technique for discovering spatial and temporal pattern of RRV distribution. The PCA results show that the first principal component accounted for approximately 57% of the information, which contained the four seasonal rates and loaded highest and positively for autumn. K-means cluster analysis indicates that the seasonality of RRV is characterised by three groups with high, medium and low incidence of disease, and it suggests that there are at least three different disease ecologies. The variation in spatio-temporal patterns of RRV indicates a complex ecology that is unlikely to be explained by a single dominant transmission route across these three groupings. Therefore, there is need to explore socio-economic and environmental determinants of RRV disease at the statistical local area (SLA) level. Spatial distribution analysis and multiple negative binomial regression models were employed to identify the socio-economic and environmental determinants of RRV disease at both the city and local (ie, SLA) levels. The results show that RRV activity was primarily concentrated in the northeast, northwest and southeast areas in Brisbane. The negative binomial regression models reveal that RRV incidence for the whole of the Brisbane area was significantly associated with Southern Oscillation Index (SOI) at a lag of 3 months (Relative Risk (RR): 1.12; 95% confidence interval (CI): 1.06 - 1.17), the proportion of people with lower levels of education (RR: 1.02; 95% CI: 1.01 - 1.03), the proportion of labour workers (RR: 0.97; 95% CI: 0.95 - 1.00) and vegetation density (RR: 1.02; 95% CI: 1.00 - 1.04). However, RRV incidence for high risk areas (ie, SLAs with higher incidence of RRV) was significantly associated with mosquito density (RR: 1.01; 95% CI: 1.00 - 1.01), SOI at a lag of 3 months (RR: 1.48; 95% CI: 1.23 - 1.78), human population density (RR: 3.77; 95% CI: 1.35 - 10.51), the proportion of indigenous population (RR: 0.56; 95% CI: 0.37 - 0.87) and the proportion of overseas visitors (RR: 0.57; 95% CI: 0.35 - 0.92). It is acknowledged that some of these risk factors, while statistically significant, are small in magnitude. However, given the high incidence of RRV, they may still be important in practice. The results of this study suggest that the spatial pattern of RRV disease in Brisbane is determined by a combination of ecological, socio-economic and environmental factors. The possibility of developing an epidemic forecasting system for RRV disease was explored using the multivariate Seasonal Auto-regressive Integrated Moving Average (SARIMA) technique. The results of this study suggest that climatic variability, particularly precipitation, may have played a significant role in the transmission of RRV disease in Brisbane. This finding cannot entirely be explained by confounding factors such as other socio-ecological conditions because they have been unlikely to change dramatically on a monthly time scale in this city over the past two decades. SARIMA models show that monthly precipitation at a lag 2 months (=0.004,p=0.031) was statistically significantly associated with RRV disease. It suggests that there may be 50 more cases a year for an increase of 100 mm precipitation on average in Brisbane. The predictive values in the model were generally consistent with actual values (root-mean-square error (RMSE): 1.96). Therefore, this model may have applications as a decision support tool in disease control and risk-management planning programs in Brisbane. The Polynomial distributed lag (PDL) time series regression models were performed to examine the associations between rainfall, mosquito density and the occurrence of RRV after adjusting for season and auto-correlation. The PDL model was used because rainfall and mosquito density can affect not merely RRV occurring in the same month, but in several subsequent months. The rationale for the use of the PDL technique is that it increases the precision of the estimates. We developed an epidemic forecasting model to predict incidence of RRV disease. The results show that 95% and 85% of the variation in the RRV disease was accounted for by the mosquito density and rainfall, respectively. The predictive values in the model were generally consistent with actual values (RMSE: 1.25). The model diagnosis reveals that the residuals were randomly distributed with no significant auto-correlation. The results of this study suggest that PDL models may be better than SARIMA models (R-square increased and RMSE decreased). The findings of this study may facilitate the development of early warning systems for the control and prevention of this widespread disease. Further analyses were conducted using classification trees to identify major mosquito species of Ross River virus (RRV) transmission and explore the threshold of mosquito density for RRV disease in Brisbane, Australia. The results show that Ochlerotatus vigilax (RR: 1.028; 95% CI: 1.001 - 1.057) and Culex annulirostris (RR: 1.013, 95% CI: 1.003 - 1.023) were significantly associated with RRV disease cycles at a lag of 1 month. The presence of RRV was associated with average monthly mosquito density of 72 Ochlerotatus vigilax and 52 Culex annulirostris per light trap. These results may also have applications as a decision support tool in disease control and risk management planning programs. As RRV has significant impact on population health, industry, and tourism, it is important to develop an epidemic forecast system for this disease. The results of this study show the disease surveillance data can be integrated with social, biological and environmental databases. These data can provide additional input into the development of epidemic forecasting models. These attempts may have significant implications in environmental health decision-making and practices, and may help health authorities determine public health priorities more wisely and use resources more effectively and efficiently.

Depuis les années 1990, le secteur de l’élevage au Vietnam subit des transformations rapides et profondes. Les productions de viande et de lait sont passées d’un système d’élevage familial intégré aux activités agricoles à un mode plus intensif et largement industrialisé. Les grandes exploitations capitalistiques se substituent progressivement à la petite paysannerie. Cette évolution soulève un certain nombre d’enjeux spatiaux. Le développement des villes, l’implantation des usines d’alimentation animale dans les campagnes, la relocalisation des bassins de production et l’essor de la production de maïs entrainent une réorganisation complète de la géographie de l’élevage au Vietnam. Cette dynamique spatiale est largement méconnue alors même qu’elle s’accélère depuis l’entrée du pays dans l’OMC en 2007. Cette thèse s’intéresse en particulier à trois districts – Thong Nhat, Mai Son et Ba Vi – dans lesquels l’élevage est une composante majeure du développement local. Les principaux résultats de cette thèse montrent que la concentration spatiale des systèmes d’élevage industriel dans un nombre réduit de régions est de fait organisée par un partenariat étroit entre autorités politiques et firmes privées qui privilégient les bénéfices économiques de cette industrialisation. Cependant, les autorités locales et les firmes impliquées peinent à prendre en compte les préjudices à moyen-terme de l’agglomération des systèmes de production sur la durabilité des anthroposystèmes. La gestion des milieux apparait laissée à la charge des communautés locales, et les fonctions de l’agriculture évoluent progressivement vers le recyclage des externalités du système d’élevage industriel. / Since the 1990’s, livestock sector in Vietnam has been deeply changing. Meat and milk productions are mouving from a mixed farming system towards a more intensive and industrialized production model. Concentrated animal feeding operations are progressively replacing small-scale livestock farming. This transition raises specific spatial issues. Expansion of urban areas, location of feed mills in rural areas, relocation of intensive production areas lead to a complete reorganization of the geography of livestock sector in Vietnam. This spatial dynamic is becoming an issue, especially since Vietnam has joined WTO in 2007. This thesis focuses on three districts – Thong Nhat, Mai Son et Ba Vì – where livestock plays a major role in local development. We show that spatial concentration of industrial production systems occurs in a limited number of regions. This dynamics appears to be organized by a close partnership between local authorities and private firms, with a focus on economic benefit. However, those stakeholders seem not to be in condition to manage all medium term impacts of this concentration on anthroposystem sustainability. Most of the challenges related to the Environmental management of industrial livestock systems remains in the hands of local communities. The role of agriculture progressively evolves towards the recycling of industrial livestock systems effluents.

No description available.

The aim of the project was to explore the acquisition and dissemination of knowledge amongst decision-makers involved in the management of red deer in Scotland. While research exists on the ecology of red deer habitat, no research exists that focuses on the relationship between the deer and the people responsible for their management. Therefore, this thesis is primarily qualitative research which aimed to explore the various aspects of red deer management in Scotland within the socio-ecological context in which it exists. There are numerous groups with interest in red deer management, however this research, due to scope and time restrictions, was limited to two primary groups, the individuals tasked with implementing policy and the practitioners who carry out culling. During the course of the project, under-researched topics surfaced, highlighting areas of practical and theoretical divergence between stakeholders. This thesis therefore aims to explore how differing views and perspectives of two of the key stakeholder groups – the estate-based practitioners (including stalkers, land-managers, and land-owners) and staff of governmental agencies – influence the management of red deer in Scotland. This research indicates that people with different roles hold different relationships with the deer, which affect management decisions and implementation at local, regional, and/or national level. As with other areas within conservation and wildlife management, this research indicates there is a disconnect between blanket governmental policy and site-specific needs, with a lack of inclusion of practitioner knowledge. Potential future research would include additional qualitative research to follow up some of the management issues raised by this research and formulate recommendations for changes to practice, followed by collection of quantitative data assessing the efficacy of interventions.

The effectiveness of land sharing and land sparing (LS/LS) approaches to conservation in the face of rising agricultural demands has been widely debated. While numerous studies have investigated the LS/LS framework from an ecological lens (yield-biodiversity relationship) the relevance of the framework to real life depends on broader considerations. Some of the key caveats include: i) limited knowledge regarding the feasibility of interventions given diverse stakeholders’ interests, ii) the social acceptability (uptake) of these contrasting strategies to direct land users, and iii) limited knowledge regarding their impacts on individuals’ livelihoods and food security. Without considering these social science dimensions proponents of the framework risk an incomplete picture that is not grounded in local realities and can paradoxically force into opposition the very conservation and development interests they seek to reconcile. Using a Companion Modelling approach, which comprises the development of a role-playing game (RPG) and an agent-based model (ABM), this thesis addressed these caveats. The research was based in the Nilgiris of Western Ghats India, a tropical agricultural system at the forest frontier. The main findings show that through engaging local stakeholders in a participatory process, plausible land use strategies that align with their objectives could be identified. Stakeholders proposed three land use interventions. Two of them resemble a form of land sparing (‘monofunctional’ landscapes) on the farms: sparing land for Wildflower Meadows or Tree Plantations while increasing yield on the remaining land. The third intervention asks farmers to accept yield penalties for Intercropping more trees on their farms, a form of land sharing (‘integrated’ landscapes). In terms of decision-making regarding the adoption of these three interventions by direct land users, the study reveals several findings. Firstly there are three main types of motivations that influence farmers’ decision to adopt interventions, in order of importance: monetary benefits, pro-environmental motivations and social norms. Secondly, land use, the type of management preferred on the farm and whether land users accept trees on the farm or not are factors that influence what type of interventions is socially acceptable on individual farms. These factors have been detected in the in-depth household survey and also validated by the RPG. When assessing the adoption of the three interventions, ex ante their implementation, using an ABM, there are some important differences observed between the interventions. Wildflower Meadows is the intervention adopted by the largest number of households, whereas Intercropping is adopted across the largest area of land. Forest Plantations is significantly more unpopular than the other two interventions. The third line of investigation, about the outcomes of adoption, has important policy implications. Adding a socioeconomic dimension to the ecological one adds a level of complexity and creates a less straightforward choice between the LS/LS strategies. None of the three interventions can provide optimal outcomes for production, aspects of biodiversity conservation, livelihoods and food security. Each intervention has indicators that score better compared to the other two interventions. The findings demonstrate that the ecological focus of the LS/LS framework is insufficient to deal with real-world complexities and lends itself to overly simplistic policy prescriptions. More meaningful policies could be achieved when bridging natural and social sciences to better understand the merits and limitations of the LS/LS approaches.

L'objectif général de cette thèse est l'évaluation ex ante des politiques économiques nécessaires en Europe dans la lutte contre le changement climatique. Au-delà de l'objectif environnemental, une attention particulière a été portée aux résultats d'emploi de ces politiques. L'analyse des scénarios construits dans cette optique, nous a conduits aux constats suivants: (i) pour respecter les recommandations du GIEC, l'action politique est urgente et doit être forte. (ii) La volonté nécessaire pour mettre en place ces politiques est certes significative, mais l'intensité des efforts n'a rien d'exceptionnel d'un point de vue historique (à l'inverse du réchauffement climatique qui est un défi historique). (iii) S'ils sont bien calibrés, les instruments économiques qui ont pour but de réduire les émissions de gaz à effet de serre, permettront également d'améliorer la situation de l'emploi en Europe. (iv) Néanmoins, il serait très risqué d'attendre, pour agir, de trouver des politiques climatiques qui puissent en même temps résorber la totalité du chômage européen, car il est très improbable que de telles politiques soient possibles. En effet, le marché du travail connaît actuellement de lourds déséquilibres, et fera face dans les prochaines décennies à des risques structurels importants. Un des scénarios de cette étude nous a amenés à entreprendre une investigation empirique pour vérifier un choix de modélisation que nous avons fait. Nous avons alors développé un modèle économétrique original pour capter les effets des changements de préférence dans la consommation. Le filtre de Kalman a ainsi été utilisé pour estimer le biais de changement de préférence au moyen d'un système de demande de consommation en données de panel. Plusieurs changements structurels indépendants de l'évolution des prix ou des revenus, tels que la montée des préoccupations des consommateurs pour l'environnement, la santé et le bien-être, ont été identifiés dans nos estimations. Par ailleurs les résultats empiriques apportés par ce modèle confirment que les changements de comportement de consommation simulés dans le scénario construit en première partie sont d'un ordre de grandeur raisonnable. / The general objective of this dissertation is the ex ante assessment of the economic policy response needed in the European Union to take up the climate change issue. Moreover, we tried to maximise the employment results of these policies. The results of the scenarios designed in this framework, lead us to the following beliefs: (i) to respect the recommendations of the IPCC, which is an absolute necessity, the political reaction needs to be rapid and strong from now. (ii) Despite the intensity of the policy response, the scale of the endeavours is not so exceptional in a historical perspective, while global warming is definitely a historical challenge. (iii) The economic instruments aiming at reducing GHG emissions will result, if they are well calibrated, in a significant better situation of the European labour market. (iv) However it would be very dangerous to wait for climate mitigation policies that could selve also completely the labour market issue, because such policies are unlikely to exist. Indeed, the European labour market currently faces serious difficulties and will face important structural risks in the next decades. It is a good thing if the mitigation policies participate to the solution, but the structural disequilibrium of labour market requires a much larger response from policy makers. One of the policy response scenarios led us to make an empirical investigation to verify the credibility of one modelling choice we made. Then, we developed an original econometric mode! aiming to capture the effect of the preferences change on consumption. We used therefore the Kalman fil ter to estimate this bias of preference changes in a consumption demand system in the framework of a panel data model. Severa! structural changes independent of prices or income motions, such as the rise in environmental, health, and well-being concems, are captured by our estimations. Moreover, the empirical results provided by the mode! confirm that the consumers behaviour changes simulated in the scenario built in the first part, are in a reasonable order of magnitude.

L’intégration culture – élevage à l’échelle territoire représente une voie pour améliorer le fonctionnement métabolique et les services écosystémiques fournis par les systèmes agricoles, malgré les contraintes de spécialisation des exploitations. Cette thèse propose une méthodologie de conception de systèmes culture – élevage au niveau du territoire, dans une démarche participative structurée en trois grandes étapes : diagnostic des enjeux, conception d’options techniques et organisationnelles, évaluation multicritère. Chaque étape est outillée par un cadre conceptuel et une grille d’évaluation multicritère adaptée aux dispositifs de terrain menés sur le bassin versant de l’Aveyron. Les scénarios construits présentent deux modèles de l’intégration culture – élevage : une « filière territorialisée » pour la production de luzerne dans les systèmes de culture de l’aval du bassin à destination des élevages de l’amont, un « collectif d’agriculteurs bio » échangeant directement de la luzerne, des méteils et du fumier dans des groupes locaux. Chaque scénario présente des performances de durabilité améliorées et pourraient être complémentaires pour le changement de pratiques sur le territoire. La méthodologie développée permet la conception multi-niveaux et multi-domaines de scénarios d’intégration, et pourrait être renforcée par une évaluation quantitative des bénéfices attendus et des coûts de coordination entre acteurs. / Crop-livestock integration at territory level may be a pathway to impove metabolic functions and delivery of ecosystem services in agricultural systems, overcoming the constraints of farm specialization. This thesis builds on a methodology of participatory design of integrated crop-livestock systems at territory level in three steps: diagnosis of issues, design of technical and organizational options for change, multicriteria assessment. Each step is supported with a conceptual framework and a multicriteria grid adapted to the case study in Aveyron river basin. The designed scenarios show two approaches of crop –livestock integration: the introduction of alfalfa in downstream cropping systems sold to upstream livestock systems through a local supply chain and the direct exchanges of alfalfa, cereal-legume mixtures and animal manure in local groups of organic farmers. Both scenario present improved sustainability performances and could be complementary to initiate more sustainable practices in local farming systems. The methodology allows designing multi-level and multi-domain scenarios of crop-livestock integration. It could be improved with models for quantitative assessment of benefits and coordination costs among stakeholders.

Stormwater Management (SWM) or Best management practices (BMPs) treat the stormwater runoff that carries pollutants. Pollutants in the waters and in the stormwater, negatively impact the environment, the ecology, and natural resources. Stormwater Control Measures (SCM) are used in different projects to improve water quality and quantity. This thesis aims to understand the connection between SWMs, the economy, and environmental sustainability. This thesis evaluates the cost-effectiveness of SWMs in Mediterranean climates. The research aims to guide the next project managers to choose better SWMs based on cost-effectiveness, socio-economic, and environmental implications. Various studies suggest that the terms SWM, SWM, and SCM are used interchangeably. The research methodology uses a mix of qualitative and quantitative data analysis The research was conducted in Los Angeles at the request of UCLA. Therefore, it focused on water quality improvement projects in Los Angeles. The costs for the projects, areas, and whatSWMs are used will be acquired through data gathering and personal communication with experts. This thesis compares several projects which include different SWMs. It calculates the cost-effectiveness with two different methods, firstly, the cost per drainage area, and secondly, the cost per pollutant removed. Data is gathered from the city of LA and other secondary data sources to calculate the cost-effectiveness. The calculation results showed that the Glenoaksproject and the Machado lake project were the most cost-effective. Glenoaks utilizes infiltration wells and grass swales, and the Machado lake is a large wetland. Based upon these facts, generally, wetlands and grass swales can be recommended for Mediterranean climates. The expensive total costs of SWMs or their inability to remove pollutants can strongly affect the cost-effectiveness of some projects, and produce a negative impact on the economy. Quantitative assessment of study investigates cost-effectiveness of SWMs and for highlighting its economic impact. For qualitative assessment thematic analysis of 14 sample studies related to stormwater management (SWM) was carried out. Findings reveal that 78% of sample studies reflect the themes associated with the positive economic impact of SWMs. Additionally, the sample studies confirm a 76% positive impact of SWMs on the environment and ecology of the region. Further research with better data and more accurate calculations are needed. It would be beneficial if other factors such as recreation and unquantifiable factors such as the aesthetic improvements and community benefits were incorporated into or considered together with the cost-effectiveness for future projects.