Privately owned lands often undersupply environmental benefits and oversupply environmental costs through land use and management decisions. Insights into human behavior suggest a range of cognitive biases and nonstandard preferences that offer alternative explanations for and, perhaps, strategies to influence landowner behavior. People respond to simple changes in context and framing, make inconsistent choices over time, and respond to social influence—the opinions and behavior of peers. This dissertation applies insights from behavioral science to strategies that seek to influence individual decisions that impact the environment, especially related to land management. First, I review existing experimental research on behavioral insights to influence decisions in six domains that have large environmental externalities. Behavioral interventions, including changing the status quo and leveraging social influence, are often more effective than simply providing information, but there are few applications to land management. Chapter Two maps behavioral insights onto farmers’ plot-level conservation decisions that benefit biodiversity. Using a case study from California, USA, I find farmers who receive information from their peers are three times more likely to adopt practices that support biodiversity than those who do not. Chapter Three tests the causal effect of social influence on engaging Vermont forest owners in bird habitat conservation. Contrary to results from similar studies in other domains, information about peer participation reduced interest in the conservation program. Chapter Four presents results from another large-scale field experiment that tested the effect of message framing on contributions to water quality in a polluted urban watershed. Participants who read an emotional, personal narrative with tenuous connections to nutrient pollution were willing to pay more for nutrient runoff-reducing landscaping products than those who read a scientific description of nutrient pollution's impacts on ecosystems and surrounding communities. The findings from these four studies contribute to our understanding of environmentally relevant behavior, with implications for privately managed land and the environmental benefits it provides.

The primary aim of the research conducted for this thesis was to develop a predictive model of information systems success for a publicly-available, web-based application that provides information to users on both the value of carbon credits that result from sequestration of carbon in a forest as well as potential earnings from supply of saleable timber. The application, also developed as part of this research, is called the CO2 Calculator. In addition attitudes of respondents to climate change and carbon sequestration were also gauged to ascertain their knowledge of key environmental issues relevant to the system.The model used as the foundation for the research is the DeLone and McLean (1992, 2002, 2003) model of information systems success. This model was adapted to measure information systems success for the CO2 Calculator which is a publicly available, web-based application rather than a proprietary, task-specific, organizationally focused application as measured in the prior research.Data was collected via a survey dispatched by email to users who accessed the CO2 Calculator. The survey instrument used builds on the existing work of Torkzadeh and Doll (1988, 1999), Seddon and Kiew (1994) and Torkzadeh et al. (2005). All of these researchers used variations of the End User Survey (EUS) to collect data on end users’ perceptions of the success of various applications, all of which were internal, organisationally-focussed, task specific, proprietary systems. This meant the survey items used for the current research were adapted to measure users’ attitudes to a publicly-available, web-based application that had no task-specific roles in an organisation.Analysis of the data proceeded in two distinct phases. The first phase was the examination and presentation of descriptive information about the demographic characteristics of the sample and the users’ attitudes to climate change, carbon sequestration and the overall success of the CO2 Calculator. The descriptive data indicated the respondents are a technologically literate group who have concerns related to environmental management and the use of land for sustainable practices. It also showed that the users were extremely satisfied with the CO2 Calculator.In the second phase Exploratory Factor Analysis (EFA) was used to examine the constructs underlying the data and Structural Equation Modelling (SEM) was used to examine the relationships among the constructs. Both the EFA and SEM resulted in structures and relationships that differed from the hypothesised outcomes and revealed a set of constructs and relationships that were clearly associated with the success of a publicly-available, web based application with different theoretical associations than those found by previous researchers examining organisationally-focussed, proprietary applications.Regression analyses were also conducted to check the relationships among constructs that were omitted from the final structural model, but were on the hypothesised model. Support for their inclusion in further studies was found as the analysis identified that the scales used to measure these constructs were significant predictors of the outcome variables although not when networked with those constructs that were on the final measurement model.Notwithstanding the limitations of the research, it has resulted in the identification of a predictive model of information success for web-based, publicly available, nonorganisationally focused systems.

The primary aim of the research conducted for this thesis was to develop a predictive model of information systems success for a publicly-available, web-based application that provides information to users on both the value of carbon credits that result from sequestration of carbon in a forest as well as potential earnings from supply of saleable timber. The application, also developed as part of this research, is called the CO2 Calculator. In addition attitudes of respondents to climate change and carbon sequestration were also gauged to ascertain their knowledge of key environmental issues relevant to the system.The model used as the foundation for the research is the DeLone and McLean (1992, 2002, 2003) model of information systems success. This model was adapted to measure information systems success for the CO2 Calculator which is a publicly available, web-based application rather than a proprietary, task-specific, organizationally focused application as measured in the prior research.Data was collected via a survey dispatched by email to users who accessed the CO2 Calculator. The survey instrument used builds on the existing work of Torkzadeh and Doll (1988, 1999), Seddon and Kiew (1994) and Torkzadeh et al. (2005). All of these researchers used variations of the End User Survey (EUS) to collect data on end users’ perceptions of the success of various applications, all of which were internal, organisationally-focussed, task specific, proprietary systems. This meant the survey items used for the current research were adapted to measure users’ attitudes to a publicly-available, web-based application that had no task-specific roles in an organisation.Analysis of the data proceeded in two distinct phases. The first phase was the examination and presentation of descriptive information about the demographic characteristics of the sample and the users’ attitudes to climate change, carbon sequestration and the overall success of the CO2 Calculator. The descriptive data indicated the respondents are a technologically literate group who have concerns related to environmental management and the use of land for sustainable practices. It also showed that the users were extremely satisfied with the CO2 Calculator.In the second phase Exploratory Factor Analysis (EFA) was used to examine the constructs underlying the data and Structural Equation Modelling (SEM) was used to examine the relationships among the constructs. Both the EFA and SEM resulted in structures and relationships that differed from the hypothesised outcomes and revealed a set of constructs and relationships that were clearly associated with the success of a publicly-available, web based application with different theoretical associations than those found by previous researchers examining organisationally-focussed, proprietary applications.Regression analyses were also conducted to check the relationships among constructs that were omitted from the final structural model, but were on the hypothesised model. Support for their inclusion in further studies was found as the analysis identified that the scales used to measure these constructs were significant predictors of the outcome variables although not when networked with those constructs that were on the final measurement model.Notwithstanding the limitations of the research, it has resulted in the identification of a predictive model of information success for web-based, publicly available, nonorganisationally focused systems.

The primary aim of the research conducted for this thesis was to develop a predictive model of information systems success for a publicly-available, web-based application that provides information to users on both the value of carbon credits that result from sequestration of carbon in a forest as well as potential earnings from supply of saleable timber. The application, also developed as part of this research, is called the CO2 Calculator. In addition attitudes of respondents to climate change and carbon sequestration were also gauged to ascertain their knowledge of key environmental issues relevant to the system.The model used as the foundation for the research is the DeLone and McLean (1992, 2002, 2003) model of information systems success. This model was adapted to measure information systems success for the CO2 Calculator which is a publicly available, web-based application rather than a proprietary, task-specific, organizationally focused application as measured in the prior research.Data was collected via a survey dispatched by email to users who accessed the CO2 Calculator. The survey instrument used builds on the existing work of Torkzadeh and Doll (1988, 1999), Seddon and Kiew (1994) and Torkzadeh et al. (2005). All of these researchers used variations of the End User Survey (EUS) to collect data on end users’ perceptions of the success of various applications, all of which were internal, organisationally-focussed, task specific, proprietary systems. This meant the survey items used for the current research were adapted to measure users’ attitudes to a publicly-available, web-based application that had no task-specific roles in an organisation.Analysis of the data proceeded in two distinct phases. The first phase was the examination and presentation of descriptive information about the demographic characteristics of the sample and the users’ attitudes to climate change, carbon sequestration and the overall success of the CO2 Calculator. The descriptive data indicated the respondents are a technologically literate group who have concerns related to environmental management and the use of land for sustainable practices. It also showed that the users were extremely satisfied with the CO2 Calculator.In the second phase Exploratory Factor Analysis (EFA) was used to examine the constructs underlying the data and Structural Equation Modelling (SEM) was used to examine the relationships among the constructs. Both the EFA and SEM resulted in structures and relationships that differed from the hypothesised outcomes and revealed a set of constructs and relationships that were clearly associated with the success of a publicly-available, web based application with different theoretical associations than those found by previous researchers examining organisationally-focussed, proprietary applications.Regression analyses were also conducted to check the relationships among constructs that were omitted from the final structural model, but were on the hypothesised model. Support for their inclusion in further studies was found as the analysis identified that the scales used to measure these constructs were significant predictors of the outcome variables although not when networked with those constructs that were on the final measurement model.Notwithstanding the limitations of the research, it has resulted in the identification of a predictive model of information success for web-based, publicly available, nonorganisationally focused systems.

Emerging "Structure-from-Motion" (SfM) photogrammetry techniques encourage faster, cheaper, and more accessible field methods for accurately reconstructing 3D topography. The SfM method consists of collecting sets of overlapping images of the ground surface with a point and shoot camera, and reconstructing surface topography from the images with developed software programs. This research develops and implements a SfM image acquisition method and post-processing workflow as a supplemental technique to the traditional total-station method to aid in monitoring sandbar change in Marble and Grand Canyons along the Colorado River in Arizona. Due to permitting in Grand Canyon National Park, a 4.9 m pole-mounted camera platform was used in this research to mimic the ground perspective of an aerial platform. This research presents an improved understanding of how the low-angle, pole-mounted camera platform affects image acquisition and ultimately 3D reconstructions of the surface topography. Models of ground surfaces always contain some degree of elevation error, or uncertainty. As such, elevation error models are needed to distinguish whether observed changes to topographic features (in this case sandbars) are real or simply due to elevation error. There are many ways to quantify multiple sources of elevation uncertainty, but in this study the sources of elevation uncertainty were considered to vary across the surface and were characterized accordingly. Especially in river environments with complex surface topography (e.g. steep cut banks), and roughness (e.g. vegetation), quantifying the spatially variable elevation uncertainty of the surface representation is critical for interpreting actual changes in surface topography over repeat surveys. This research: used the sandbar images collected in Marble and Grand Canyons with the pole-mounted camera platform to generate SfM, topographic models; calculated spatially variable surface uncertainty derived from slope and roughness using multiple statistical analyses; built an error model that was calibrated based upon the statistical analyses of the spatially variable surface uncertainty; Key findings of this research are: Densely vegetated topography results in high amounts of elevation uncertainty, and without additional information of the surface underlying the vegetation, the SfM tool is less operational in these areas; Bare, exposed topography with low to high slopes that are not covered in black shadows result in lower surface uncertainty, and are areas where SfM is an operational tool for studies of surface change. Complementing existing topographic sampling methods with more efficient and cost- effective SfM approaches will contribute to the understanding of changing responses of the topographic features. In addition, the development and implementation of SfM and corresponding amounts of elevation uncertainty for monitoring geomorphic change will provide a methodological foundation for extending the approach to other geomorphic systems world- wide.

Ecosystem services, or the benefits humans obtain from natural ecosystems, have long been recognized as critical to human health. Efforts have been taken by many to determine the non-market values of these services but few have offered a direct market valuation. Increasing awareness, scarcity, and regulation have fostered transactions, and markets are emerging that can allow for direct valuation and could provide landowners the opportunity to merchandise this natural capital. This paper provides a valuation and comparison, as a case study, of a traditional management scheme, including the marketing of fiber and recreational leases, and an ecosystem services management scheme, including the marketing of fiber, recreational leases, carbon sequestration, watershed services, and biodiversity. The traditional forest management scheme had an estimated present value at three pricing scenarios ranging from “pessimistic” at $538,714.63 to “optimistic” at $868,528.27 for the entire 3,976-acre project area. The ecosystem services management scheme had an estimated present value at three pricing scenarios ranging from “pessimistic” at $621,508.61 to “optimistic” at $1,363,628.13 for the entire 3,976-acre project area. This paper concludes that even in these early stages of ecosystem markets, an ecosystem services management scheme may offer more revenue to landowners than a traditional management scheme.

This thesis, submitted for the Doctor of Philosophy in Geography and Environment, presents a case study of the development of the UK's market-based management system for oceanic fisheries. Implemented gradually in the years since 1984, the informal nature of the UK's fisheries management system, which has developed through a number of incremental changes and government-industry "gentlemen’s agreements" rather than clear legislative moves, means that few official policy documents (and perhaps consequently, little academic literature) on the subject currently exist. This thesis traces the material and political processes of market formation, looking at the origin of market-based policies in the theories of bioeconomics and wider economic history. It asks what the implicit assumptions of the economic discipline can – and can't – tell us about the impacts and outcomes of market creation, and using a Foucauldian inspired approach to economic performativity, discusses the role of ostensibly descriptive theories in shaping the world around them. Finally, it calls for a greater geographical engagement with marine issues, and proposes an action-research role for geographers in the politics of the sea.

The San Bernardino Mountains are well known for their rich mining history, especially, gold in the mid-1800s and the current mining of one of the world’s largest deposits of high purity limestone. The purpose of this study was to compile new, current, and historical data of the major economic resources that are present and mining that has gone on in the San Bernardino Mountains. It is estimated that historical mining of the Holcomb Valley recovered $457,660,000 of gold or about 350,000 troy ounces based on samples collected for this study and 2013 gold price. The current major geologic resource is the limestone deposits on the north slope of the San Bernardino Mountains. Presently, there are three operators: Omya, Specialty Minerals, and Mitsubishi Cement. The San Bernardino Mountains are well known for skarn gold deposits. New work indicates that the placer gold from Holcomb Valley is often of very high purity. Placer gold samples were analyzed using the scanning electron microscope and energy dispersive x-ray spectra to determine the purity of the gold. Rim and core analysis of the placer gold was used to determine if the gold was transported from its source and to give an estimate of transportation distance. Results show some of the placer gold of Holcomb Valley has been rounded and flattened by weathering and transportation with increased gold purity in the rims while other gold grains still sustain their octahedral crystalline structure. Rims range in gold purity from 84.26% to 100%, with core gold purity ranging from 79.51% to 99.79%. Gold samples were weighed, photographed, measured, and classified by shape, angularity and texture, to assess the effects of transportation. Gold weights where used to calculate an economic value of gold. Geographic Information System “GIS” was used to visually display geology, historical and current mine locations, locations of samples used in this study, and to help calculate the volume of the Holcomb Valley TsE rock unit, which is where the placer gold is deposited. Sediment sample 15 from TsE had the lowest gold value of .002 ounces per cubic yard. This value is inferred to represent the amount of gold remaining after mining. Based on this assumption and the estimated volume of TsE at 50,027,000 cubic yards, the estimated total weight of gold remaining in the deposit is about 100,000 troy ounces, with a dollar value of about $130,760,000, using gold values for 2013. Sample 17 had the highest gold value, with .014 ounces per cubic yard. This is inferred to represent the concentration of placer gold deposits within parts of Holcomb Valley that have never been mined. This yields a total weight of the deposit of roughly 700,000 troy ounces, with an estimated value of $915,320,000 using gold prices for 2013. The gold values were calculated using November 7, 2013 gold spot price of $1,307.60.

A large part of the environmental restoration required by the Comprehensive Everglades Restoration Plan calls for more water-storage on lands south of Lake Okeechobee in order to restore the natural water flows of the Everglades watershed. The Everglades Agricultural Area (EAA) can be used for increased water storage in order to relieve coastal estuaries of excess water in the rainy season. This water storage can deliver additional ecosystem services of soil retention and reduced CO2 emissions that could compensate farmers for the cost of water storage by increasing long term farm profitability. The goals of this study were 1) to quantify the environmental and economic trade-offs of different water storage scenarios using water-tolerant sugarcane cultivars, and 2) to quantify the amount of water storage possible in the EAA under different water storage scenarios. A mathematical model was developed to calculate soil depth, soil subsidence, depth to the water table, sugarcane production, farm return, water storage and carbon loss for three different sugarcane cultivars with different water-tolerances. A GIS tool is also developed to estimate the amount of water storage possible in the EAA. The study found that even though water-tolerant sugarcane cultivars experience higher yields and net returns than non-water-tolerant cultivars the water storage costs with these water tolerant cultivars was greater. Raising water tables on farm lands did have the environmental benefits of reduced soil subsidence, extended farm life and increased years of water storage. However total CO2 emissions rise from 14 to 136%. Results of the GIS analysis revealed that water storage capacity for a DWT of 61 cm is 1,404,562 ac-ft, 1,417,400 ac-ft for DWT 45 cm and 1,474,692 ac-ft for DWT 20 cm. The GIS analysis was also able to identify flow ways that could possibly carry water south from Lake Okeechobee and ultimately to the WCAs south of the EAA. These results show that raising water tables in the EAA to deliver the ecosystem service of expanded water storage is overall more costly, but yearly costs are very low. Therefore water storage on farmlands is an affordable interim method of water storage.

Concerns regarding energy security, resource sustainability, and environmental protection have heightened interests in renewable fuels and sparked the research and development of ethanol as a transportation fuel. This study examines consumers’ willingness to pay for ethanol from various potential feedstocks; corn, switchgrass and wood wastes. Data was collected via a survey of fuel consumers across the United States in 2009. Results show that consumers have a preference for E85 (a fuel blend with 85 percent ethanol and 15 percent gasoline) from corn, switchgrass and wood wastes compared to E0 (gasoline) and a preference for E85 from switchgrass and wood wastes, but not corn when compared to E10 (10 percent ethanol and 90 percent gasoline). Also, consumers have a preference for E85 compared to E10 but not compared to E0. Mean WTP for E85 was insignificant across all models, but significant for all other product attributes; percentage of fuel imported, percentage of greenhouse gas emissions reduced, and the proximity of fuel in driving distance. This suggests a WTP for a combination of fuel attributes associated with ethanol rather than just for E85. Results suggest that price and proximity of the fuel have a greater impact on fuel selection than percentage of the fuel imported and reductions in greenhouse gas emissions. Republicans had a positive WTP for E85 compared to E10 and a negative WTP for E85 compared to E0 regardless of feedstock, which may suggest that Republicans actually have no preference for E85; however, these findings may also suggest that Republicans view E85 as a voluntary “policy” whereas E10 is an example of government intrusion in the free market. Thus, they may ultimately have preferences over the manner in which the blend is being introduced to the market. Across all models, those undecided in political affiliation, those previously familiar with ethanol, and those who prefer to devote U.S. farmland to food instead of fuel generally exhibited a lower WTP for E85 while Westerners, those worried about the environment, and those believe that reducing dependence on foreign oil is more important than environmental protection generally had a greater WTP for E85.