I compared the utility of two continuous time-series data measures for applied conservation biology by investigating how well each could predict future local persistence of a diverse set of bird species. I used 37 years of data from the North American Breeding Bird Survey to calculate abundance from yearly point-counts and permanence (i.e., consistent occupancy over time) from yearly presence-absence data in the early portion of the study period, then used the later portion of data to empirically evaluate how well each measure predicted persistence two decades into the future. I found that permanence could only match the ability of abundance to accurately predict local species persistence if multiple within-year repeated observations contributed to its calculation. Neither measure was effective at predicting persistence for regionally rarer species. I suggest the yearly and within-year repeated collection of abundance estimating data for use in applied conservation biology to best ensure biodiversity persistence.

The Convention on Biological Diversity (CBD) promotes the Ecosystem Approach (EA). In this thesis it is analyzed how the EA approach could be applied to regional management of coastal areas in Sweden. The aim of this report is to compare management for preserving biodiversity on a landscape level in two regional coastal areas in Uppsala and Västra Götaland respectively. In Uppsala, one of the plans consists of a previous nature reserve and in Västra Götaland, a Regional landscape strategy has been established. The ecosystem approach is used as a theoretical framework in this thesis. More precisely, five EA operational guidelines have been used as analytical tools in the comparative approach adopted. The results show that the Västra Götaland Regional landscape strategy has been most consistent with the EA framework, since it fulfills three of the five operational guidelines while Gårdsskärskusten only accomplish two of the criteria. The social aspects are more central in the landscape strategy than in Gårdskärskusten, which is the main difference between the two plans. One area of inadequacy detected in the landscape strategy was the few identified aspects on maintenance of landscape connectivity features. The Regional landscape strategy could, if established in every county in Sweden, be a way to prevent the loss of biodiversity. However the plan needs to be supported by actions where preservation and utilization are integrated in an economic context. By considering nature protection as a development opportunity in strategic planning rather than as only a cost, important steps towards a sustainable future can be taken. / För att implementera målsättningarna i FN:s Konvention om Biologisk Mångfald har en ekosystemansats (EA) antagits och en viktig ekosystemtyp i Sverige där EA kan appliceras är kuster. Syftet med examensarbetet är att, med ekosystemansatsen som analysverktyg, studera hur och varför två planer för att bevara biologisk mångfald på landskapsnivå i två regionala kustområden i Uppsala län respektive Västra Götalands län skiljer sig åt. Planen består i Uppsala län av ett tilltänkt naturreservat och i Västra Götalands län av en Regional landskapsstrategi. Uppsatsens teoretiska förankring sker i ekosystemansatsen, med fokus på dess fem vägledande punkter och metodvalet är en jämförande design. Inom ramen för den jämförande designen har sedan en innehållsanalys samt kompletterande semistrukturerade intervjuer utförts. Resultatet visar att den Regionala landskapsstrategin i dagsläget är mer i linje med ekosystemansatsen, eftersom den uppfyller tre av fem vägledande punkter medan processen med Gårdsskärskusten enbart uppfyller två av fem vägledande punkter. I landskapsstrategin är sociala aspekter centrala och det är en förklaring till varför de olika planerna skiljer sig åt. Intressant är dock att betoningen på aktörsinvolvering verkar leda till att vissa ekologiska grundprinciper som konnektivitet i landskapet tonas ned, vilka är framträdande i processen med Gårdskärskusten. Regionala landskapsstrategier kan enligt min mening innebära ett stort steg mot att hindra förlusten av biologisk mångfald i Sverige om de uppförs i varje län. Inom landskapsstrategierna är det vidare essentiellt att skyddade områden, som exempelvis Gårdsskärskusten, också inkorporerar ett landskapsstrategitänk och i många fall innebär det att skötselåtgärder fortsätter att utföras. Svårigheten kan dock vara hur finansieringen av skötseln skall ske men där finns alternativa inkomstmöjligheter, från exempelvis naturturism och stresshantering på företag, som behöver utvecklas ytterligare.

The chapters of this dissertation explore complementary areas of applied microeconomics, within the fields of experimental and environmental economics. In each case, preferences and institutions interact in ways that enhance or subvert efficiency. The first chapter, "The Girl Scout Cookie Phenomenon," uses a laboratory experiment to study favor trading in a public goods setting. The ability to practice targeted reciprocity increases contributions by 14%, which corresponds directly to increased efficiency. Subjects discriminate by rewarding group members who have been generous and withholding rewards from ungenerous group members. At least some reciprocal behavior is rooted in other-regarding preferences. When someone is outside the "circle of reciprocity," he gives less to the public good than in other settings. We find no evidence of indirect reciprocity. We find two behavioral types in each treatment, differing in baseline giving but not in tendency to reciprocate. The second chapter, "The Effects of Conservation Reserve Program Participation on Later Land Use," studies another public goods issue: conservation. The Conservation Reserve Program (CRP) pays farmers to retire farmland. We use a treatment effect framework to find that ex-CRP land is 21-28% more likely to be farmed than comparable non-CRP land. This implies that the CRP improves low-quality land, making it more attractive to farm. This could demonstrate inefficiency, since farmers gain private benefit from a program meant to provide a public good. On the other hand, farmed ex-CRP land is more likely to adopt conservation practices, although this may not be caused by CRP participation. The third chapter, "Learning from Mistakes," examines financial decisions by adult Rwandans in institutions inside and outside the lab. Over 50% of subjects make irrational choices over risk—choices that likely do not reflect their preferences, and are therefore likely inefficient—and these subjects share tendencies in their take-up of financial instruments. Risk-averse individuals are more likely to belong to a savings group and less likely to take out an informal loan. For those who make mistakes, however, as they become more risk averse, they are less likely to belong to a savings group and more likely to take up informal credit.

I compared the utility of two continuous time-series data measures for applied conservation biology by investigating how well each could predict future local persistence of a diverse set of bird species. I used 37 years of data from the North American Breeding Bird Survey to calculate abundance from yearly point-counts and permanence (i.e., consistent occupancy over time) from yearly presence-absence data in the early portion of the study period, then used the later portion of data to empirically evaluate how well each measure predicted persistence two decades into the future. I found that permanence could only match the ability of abundance to accurately predict local species persistence if multiple within-year repeated observations contributed to its calculation. Neither measure was effective at predicting persistence for regionally rarer species. I suggest the yearly and within-year repeated collection of abundance estimating data for use in applied conservation biology to best ensure biodiversity persistence.

Objective: Aboriginal children are disproportionately affected by obesity, as they are twice as likely to be classified as obese compared to their non-Aboriginal Canadian counterparts. Research indicates that income, food insecurity, and diet quality are important predictors of weight status, however these factors are not well explored among Aboriginal children living off reserve. This study aims to identify associations between food insecurity and diet on obesity status among off-reserve First Nations and Métis children. Methods: This study used both quantitative and qualitative research methods. Data from the 2006 Aboriginal Peoples Survey (APS) – Children and Youth component were analyzed using binary logistic regression and the proportional odds model to assess relationships between food insecurity, diet, and body mass index (BMI). Fruit and vegetable intake, as well as junk food consumption, were used as proxy measures for children’s diet quality. Additional analyses involving income instead of food insecurity, as well as food insecurity interaction terms, were also explored. Focus groups were conducted with caregivers of Métis and off-reserve First Nations children in Midland-Penetanguishene and London, Ontario, respectively. The focus groups were planned and carried out in partnership with the Métis Nation of Ontario (MNO) and the Southwest Ontario Aboriginal Health Access Centre (SOAHAC). A thematic analysis was conducted with the qualitative data, and the focus group discussions provided important contextual information to complement the statistical results. Results: Approximately 11% of First Nations and 6.8% of Métis children were food insecure according to the 2006 APS. The quantitative analysis did not find a significant association between food insecurity and diet, or food insecurity and BMI for First Nations or Métis children. Income was a better predictor of weight status than food insecurity. For First Nations children, having a household income higher than $60,000 decreased the risk of being overweight/obese. For Métis children, a household income of less than $20,000 increased the risk of overweight/obesity. Food insecurity was only significant as an interaction with parental education for First Nations children, and with parental education and number of people living in the household for Métis children. The proportional odds model produced similar results to the binary logistic regression procedure, and food insecurity remained insignificant in the analyses. Contrary to the quantitative findings, the focus group discussions indicated that caregivers perceived a positive relationship between low income and food insecurity, as well as adverse impacts on their children’s diets. While caregivers did not use the term “food insecurity” explicitly, conversations about not having enough food or money for food, as well as coping strategies for when these situations occurred, suggested that food insecurity manifests itself in different ways. Caregivers mentioned decreased variety of foods, compromised fruit and vegetable intake, as well as decreased traditional food consumption as examples of how families’ food consumption and purchasing patterns changed when food insecure. Food insecurity negatively impacted children’s diets, and many caregivers attributed the rise in overweight and obesity to poor diet quality. Some of the key barriers to children eating healthfully were unaffordability and limited access to healthy foods. Caregivers also discussed the role of various programs for improving child health within their communities. Conclusions: While food insecurity was not significantly associated with obesity in the quantitative analyses, discussions with caregivers of First Nations and Métis children identified food insecurity and low income as important predictors of poor diet, and consequently decreased well-being. Several limitations associated with the 2006 APS design may have prevented food insecurity from being significantly associated with obesity risk; however, it is clear from both the quantitative and qualitative components of this study that income consistently affects diet and child obesity risk. Findings from this study can inform necessary improvements to existing programs, interventions, and policies targeting obesity and health of Aboriginal children.

This thesis presents a multi-stage linear stochastic mixed integer programming (SMIP) model for planning power generation in a pool-type day-ahead electricity market. The model integrates a reserve demand curve and shares most of the features of a stochastic unit commitment (UC) problem, which is known to be NP-hard. We capture the stochastic nature of the problem through scenarios, resulting in a large-scale mixed integer programming (MIP) problem that is computationally challenging to solve. Given that an independent system operator (ISO) has to solve such a problem within a time requirement of an hour or so, in order to release operating schedules for the next day real-time market, the problem has to be solved efficiently. For that purpose, we use some approximations to maintain the linearity of the model, parsimoniously select a subset of scenarios, and invoke realistic assumptions to keep the size of the problem reasonable. Even with these measures, realistic-size SMIP models with binary variables in each stage are still hard to solve with exact methods. We, therefore, propose a scenario-rolling heuristic to solve the SMIP problem. In each iteration, the heuristic solves a subset of the scenarios, and uses part of the obtained solution to solve another group in the subsequent iterations until all scenarios are solved. Two numerical examples are provided to test the performance of the scenario-rolling heuristic, and to highlight the difference between the operative schedules of a deterministic model and the SMIP model. Motivated by previous studies on pricing MIP problems and their applications to pricing electric power, we investigate pricing issues and compensation schemes using MIP formulations in the second part of the thesis. We show that some ideas from the literature can be applied to pricing energy/reserves for a relatively realistic model with binary variables, but some are found to be impractical in the real world. We propose two compensation schemes based on the SMIP that can be easily implemented in practice. We show that the compensation schemes with make-whole payments ensure that generators can have non-negative profits. We also prove that under some assumptions, one of the compensation schemes has the interesting theoretical property of minimizing the variance of the profit of generators to zero. Theoretical and numerical results of these compensation schemes are presented and discussed.

This thesis presents a multi-stage linear stochastic mixed integer programming (SMIP) model for planning power generation in a pool-type day-ahead electricity market. The model integrates a reserve demand curve and shares most of the features of a stochastic unit commitment (UC) problem, which is known to be NP-hard. We capture the stochastic nature of the problem through scenarios, resulting in a large-scale mixed integer programming (MIP) problem that is computationally challenging to solve. Given that an independent system operator (ISO) has to solve such a problem within a time requirement of an hour or so, in order to release operating schedules for the next day real-time market, the problem has to be solved efficiently. For that purpose, we use some approximations to maintain the linearity of the model, parsimoniously select a subset of scenarios, and invoke realistic assumptions to keep the size of the problem reasonable. Even with these measures, realistic-size SMIP models with binary variables in each stage are still hard to solve with exact methods. We, therefore, propose a scenario-rolling heuristic to solve the SMIP problem. In each iteration, the heuristic solves a subset of the scenarios, and uses part of the obtained solution to solve another group in the subsequent iterations until all scenarios are solved. Two numerical examples are provided to test the performance of the scenario-rolling heuristic, and to highlight the difference between the operative schedules of a deterministic model and the SMIP model. Motivated by previous studies on pricing MIP problems and their applications to pricing electric power, we investigate pricing issues and compensation schemes using MIP formulations in the second part of the thesis. We show that some ideas from the literature can be applied to pricing energy/reserves for a relatively realistic model with binary variables, but some are found to be impractical in the real world. We propose two compensation schemes based on the SMIP that can be easily implemented in practice. We show that the compensation schemes with make-whole payments ensure that generators can have non-negative profits. We also prove that under some assumptions, one of the compensation schemes has the interesting theoretical property of minimizing the variance of the profit of generators to zero. Theoretical and numerical results of these compensation schemes are presented and discussed.

The implementation of UNESCO Biosphere Reserves (BR) in Canada is strongly dependent on grassroots community-based support and understanding. The recent calls for the Oak Ridges Moraine and adjacent Greenbelt lands (ORMGB) to be designated a BR require that a communications strategy be created to garner local support. Taking into consideration complex systems theory, this study looked to build a communications framework that combined higher-scale social organizing literature like social movement and environmental campaigns more detail-focused group dynamics and strategic communications research. Applying this framework to the ORMBG landscape revealed key target audience groups and messaging for the BR communications strategy.

In 1879 the buffalo disappeared from the Canadian North-West, leaving the Plains Indians in an extreme state of destitution. In accordance with its treaty commitments to the Indians, the federal government undertook the responsibility of feeding the Indians of Treaties Four, Six and Seven. The government, in addition, introduced the reserve agricultural program, which it was hoped would transform the Indians into a self-supporting agrarian people. While the initial costs of rationing the Indians and assisting them in farming operations were high, it was hoped that within a few years the government would be largely relieved of such expenditures.<p>In spite of the promising early returns made on reserves in the early 1880's the agricultural program did not succeed quickly enough to suit the government. One of the major reasons for the delay of the program was in fact the government's preoccupation with maintaining economy in Indian administration at all costs. When the government undertook a general reduction of expenditures on Indian administration in the North-West in 1833, any possibility of the reserve agricultural program succeeding was ended.<p>The actions of various Indian bands and leaders in the North-West during these years were characterized by a desire to achieve suitable terms which would permit their people to make the transition to the farming way of life. The general cutbacks in spending introduced in 1883, however, sparked the formation of an Indian political movement seeking improved conditions. This movement grew rapidly, and likely would have unified Indians from all sections of the North-West in insisting upon the renegotiation of the treaties during the summer of 1885, had the Metis not rebelled. Although Indian participation in the North-West Uprising of 1885 was limited, it prompted the adoption of a policy of repression by the government in dealing with the Indians. The plan of assisting the Indians in becoming self-sufficient farmers was forgotten, and they became the charges of the Department of Indian Affairs.

Wind power is variable, uncertain, intermittent and site specific. The operating capacity credit associated with a wind farm is therefore considerably different from that assigned to a conventional generating unit and as wind penetrations in conventional power systems increase, it is vital that wind power be fully integrated in power system planning and operating protocols.<p> The research described in this thesis is focused on the determination of the operating capacity benefits associated with adding wind power to a conventional power system. Probabilistic techniques are used to quantify the risk and operating capacity benefits under various risk criteria. A short term wind speed probability distribution and short term wind power probability distribution forecasting model is presented and a multi-state model of a wind farm is utilized to determine several operating performance indices. The concepts and developed model are illustrated by application to two published test systems. The increase in peak load carrying capability attributable to added wind power is examined under a range of system operating conditions that include the effects of seasonality, locality and wind parameter trends. The operating capacity credit associated with dependent and independent wind farms is also examined. The dependent and independent conditions provide boundary values that clearly indicate the effects of wind speed correlation. Well-being analyses which incorporate the accepted deterministic criterion in an evaluation of the system operating state probabilities is applied to the wind integrated test systems using a novel approach to calculate the operating state probabilities. Most modern power systems are interconnected to one or more other power systems and therefore have increased access and exposure to wind power. This thesis examines the risk benefits associated with wind integrated interconnected power systems under various conditions using the two test systems.<p> The research described in this thesis clearly illustrates that the operating capacity benefits associated with wind power can be quantified and used in making generating capacity scheduling decisions in a wind integrated power system.