Environmental problems are growing at a pace and scale that traditional research methods alone can no longer tackle. Innovative research models that utilize contributory, participatory and crowdsourcing methods are rapidly emerging to fill this gap. For these participatory efforts to be effective and sustainable, however, closer attention must be paid to key components that can promote coordinated action and sustainability. Through the lens of public participation in plant-pollinator conservation, I have, with rigorous social-ecological inquiry, offered three foundational assessment areas that can provide scientific support to this nascent field: accuracy, ecological significance and scalability. In the first study (Chapter 2), I explored a common concern about citizen science: that a lack of foundational knowledge, or familiarity with following scientific protocols could lead to inaccurate data collection. I evaluated the accuracy of plant phenology observations collected by citizen scientist volunteers following protocols designed by the USA National Phenology Network (USA-NPN). Phenology observations made by volunteers receiving several hours of formal training were compared to those collected independently by a professional ecologist. Approximately 11,000 observations were recorded by 28 volunteers over the course of one field season. Volunteers consistently identified phenophases correctly (91% overall and 70% during transitions) for the 19 species observed. Accuracy varied significantly by phenophase and species (p<0.0001). Volunteers who submitted fewer observations over the period of study did not exhibit a higher error rate than those who submitted more total observations, suggesting that volunteers with limited training and experience can provide reliable observations when following explicit, standardized protocols. Overall, these findings demonstrate the ii legitimacy of phenology observations collected by volunteers, an important finding for the increasing number of analysts relying on data collected by citizen scientists. In Chapter 3, I explored a common concern that restoration efforts implemented by the public may not have adequate ecological value. I addressed key ecological variables to determine how small-scale patches attracted pollinators and explored which of these variables might be best to prioritize for restoration efforts suited to public initiatives. This study demonstrated that in small-scale plant restoration sites, plant diversity and resource (nectar) availability significantly affects the abundance and diversity of pollinating insects. Specifically, the treatments which contained high-resource (nectar-rich) plant species increased pollinator abundance and diversity the most. Plant diversity increased pollinator diversity and abundance only in the absence of high-resource plants. Pollination facilitation was observed in high resource treatments, but varied among species. Competition for pollinators was observed in high diversity treatments but did not affect seed set for high-resource plants in any of the treatments. Together, these results suggest that managers or landowners who are restoring patches of native plants as habitat for pollinators should prioritize including species with high nectar production, and secondarily, a diverse mix of species if space and resources allow. In Chapter 4, I explored an emergent approach to public participation in regional community science initiatives (and networks) through an exploratory case study of the New York Phenology Project. I demonstrated that local organizations have the opportunity to utilize existing data aggregation platforms to activate regional collaborative alliances to achieve what is often challenging for large-scale contributory projects. I describe our hands-on experience of conceiving and launching a regional network and outline a model that could serve as a guide for catalyzing networks. Drawing on direct experience and interviews with network partners, I developed a description of key categories related to network node success, and a linked assessment tool that could be used to evaluate network node capacity and project outcomes. The assessment tool will be used to test preliminary findings in a more formal quantitative and qualitative exploration in future studies. In Chapter 5, I explored an exceptional long-term, community-level phenology data set that spans New York State, USA (1802-2017), and found interesting and significant patterns of phenological change over time. The data set provides statewide phenology and temperature data that extend further back in time than any previously known data set for the region, extending to years prior to or at the beginning of recent human-caused global warming. I found that most species are flowering and leafing earlier in recent years (2009-2017) than they did in the early 19th century (1802-1861). Plants are flowering 11 days earlier and leafing 18.8 days earlier, with some species flowering up to 27 days earlier and leafing up to 31 days earlier over that time period. Most of this change was driven by warming mean spring temperatures (MST) over that time; mean spring temperatures warmed by 1.0°C statewide (2.5°C in New York City) on average between the historical and contemporary periods. Seasonality, Life Form, and the interaction between Seasonality and Life Form explained variation in phenology among species. The large number of geographically distinct sites in this dataset permitted novel investigation into differential changes in phenology between urban and rural areas (urban areas have more advanced phenology than their rural counterparts) and between insect and wind pollinated trees by seasonal category (insect pollinated trees are showing more advanced phenology than wind pollinated trees in both early and late spring). This analysis has brought the efforts of a historical network into a modern context and has illustrated how organized long-term monitoring efforts can be valuable for ecological discovery. This combined work provides a diverse contribution to the field of public participation in monitoring and conservation efforts. While thorough and disciplined ecological theories drive the design of the research, I simultaneously strove to help meet the ongoing demand for useable, purposeful insights into how to support public efforts to restore plant-pollinator habitats, monitor key ecological dynamics such as phenology, and scale networks capable of collecting data that address issues of global change.

Citizen science projects present a distinctive opportunity for professional and volunteer scientists to coordinate their efforts to gather unique sets of data that can benefit the scientific and local communities. These projects are assumed to be an effective educational tool to teach nature of science (NOS) to participants (Brossard, Lewenstein, Bonney, 2005). This case study evaluates the effectiveness of participation in a citizen science project as a way to learn about NOS. Through enhancement of the Tryon Creek Owl Monitoring Project the researcher reviewed the characteristics of a citizen science project that were thought to be necessary to impact the volunteers' knowledge of NOS. The study also explored the benefits and limitations to organizing the citizen science protect using the principles of action research. Analysis of participants' knowledge and the effectiveness of active research theory, was evaluated through pre- and post- questionnaires and interviews. Although volunteers were able to explore the core themes of NOS through actively engaging in the scientific process, they did not experience a statistically significant change in their demonstration of understanding. For a multitude of reasons, participants had a positive experience with the presence of an embedded researcher within the project. This case study supports the use of active research as a guide to ensure that within each project the needs of both the scientific community and the volunteer scientists are met.

Evaluation is an important aspect of the project cycle. The evaluation results are used to determine new strategies of the programme as well as the future of the project. However, the problem is that most conventional evaluations are seen as external intervention because they often disregard the role project participants could play in the process of evaluation. Then there is sustainable livelihoods approach which is viewed as a holistic and participatory approach. Because the sustainable livelihoods approach is people-centred; is holistic; dynamic; builds on strengths; considers macro-micro links; and considers issue of sustainability, it could provide a framework with which evaluation could be conducted. The objective of this study was to find out the outcomes of using the sustainable livelihoods approach as a tool for evaluating developmental projects. The theoretical framework for evaluating projects was designed using sustainable livelihoods and evaluation literature. The framework was tested using two projects in the area of agriculture and rural education. The research process guide was also designed and guided the process of data collection. The study has shown that the sustainable livelihoods approach could be used to evaluate developmental projects. The opportunities and the challenges of evaluating developmental projects using the sustainable livelihoods approach in each step of evaluation process were discovered. Using SL framework to define evaluation programme revealed that projects could be viewed holistically though not covering everything. However, the volume of the data collected was large and required more time to analyse. The logical framework was useful in terms of planning the evaluation programme. On the downside, the logical framework was technical and required guidance from the researcher. Establishing success indicators required the participants to negotiate the yardstick for measuring. The participants could not select data gathering methods because 1) the participants had no knowledge of the participatory methods and 2) the methods already used were not appropriate for the data collected. Reliance on participatory methods alone affected the robustness of the evaluation data collected. Thorough planning and capacity building are critical in interpretation of evaluation results follow sustainable livelihoods approach guidelines. Further studies with more representative sample and with a longer time span are needed to refine the implementation of the evaluation of developmental projects using sustainable livelihoods approach. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2007.

People with disabilities, including those on the autism spectrum, comprise the world's largest minority and experience significant inequities in Internet use. Existing standards for accessible web sites are necessary but not sufficient without the direct engagement of end users in identifying access needs. Yet little is known about methods for effective engagement, and there are no systematically derived Web accessibility guidelines for autistic end users. Here I explore a hybrid approach to direct engagement using critical systems thinking (CST) and community based participatory research (CBPR) during the co-development of a healthcare-focused web site by the Academic Autism Spectrum Partnership in Research and Education (AASPIRE). I explore these ideas on three levels: theory, practice, and critical self-reflection. On the theory level, I examine the common philosophical and historical roots of CST and CBPR, ways in which they intersect and complement, and propose the hybrid approach exemplified by AASPIRE. On the practice level, I explore our web site development process and evaluate the accessibility, usability, and acceptability of the web site for autistic end users; from that work, comes a set of recommendations for working with people with disabilities in technology development and a set of accessibility guidelines for autistic end users. On the critical self-reflection level, I inquire into my own experiences as an insider-researcher during the web site development. I then synthesize the levels to evaluate whether or not taking a hybrid CST/CBPR approach to web development was effective, as indicated by the team's ability to function as an emancipatory learning organization (an indicator of effective systems thinking on an organizational level), and the overall usability and accessibility of the web site. The result of the synthesis suggests a hybrid CST/CBPR approach was effective. Implications of this work include innovations in CST methods for operationalizing its commitment to human emancipation, potential for drawing a more ideologically-aligned systems thinking literature into the domain of CBPR, a means for individuals wishing to create a more power-balanced learning organization, innovations around including people with disabilities in research and technology development, more accessible web sites for people on the autism spectrum, and a potential small shift of dominant discourse around autism, disability, and the value of insider-researchers over time.

The Texas Stream Team (TST) is one of an increasing number of citizen science water monitoring programs throughout the US which have been continuously collecting surface water quality data under quality assurance protocols for decades. Volunteer monitoring efforts have generated monitoring datasets that are long-term, continuous, and cover a large geographic area - characteristics shown to be valuable for scientists and professional agencies. However, citizen science data has been of limited use to researchers due to concerns about the accuracy of data collected by volunteers, and the decades of water quality monitoring data collected by TST volunteers is not widely used, if at all. A growing body of studies have attempted to address accuracy concerns by comparing volunteer data to professional data, but this has rarely been done with large-scale, existing datasets like those collected by TST. This study assesses the accuracy of the volunteer water quality data collected across the state of Texas by the TST citizen science program between 1992-2017 by comparing it to professional data from corresponding stations during the same time period, as well as comparing existing and experimental data from a local TST partner agency. The results indicate that even large-scale, existing volunteer and professional data with unpaired samples that may have been taken months apart can show statewide agreement of 80% for all parameters (DO = 77%, pH = 79%, conductivity = 85%) over the 38 years of sampling included in the analyses, across all locations. The local case study using paired datasets for which a greater number of factors were controlled for show an even higher agreement between volunteers and professionals (DO = 91%, pH = 87%, conductivity = 100%) and show no significant difference between experimental and existing sampling data. The results from this study indicate that TST has been collecting water sampling data for decades that is comparable to professional data and provides compelling evidence for researchers and managers to better utilize TST's and other large-scale monitoring datasets already in existence from similar citizen science water monitoring programs across the country.

The values of the disability rights movement and community psychology promote research that focuses on improving the lives of individuals with disabilities (Dowrick & Keys, 2001). Using the Internet for social interactions has been shown to contribute to an individual's identity development, sense of community, and well-being (Obst, Zinkiewicz, & Smith, 2002a; Turkle, 1995). While challenges in typical social interactions have traditionally been considered a defining feature of autism spectrum disorder, autistic individuals have taken advantage of the Internet to develop social interactions (Blume, 1997a). The present study focused on the online Autistic community and how the importance and value of involvement in it is related to Autistic identity, sense of community, and psychological well-being. The Academic Autistic Spectrum Partnership in Research and Education (AASPIRE) partnered with the Gernsbacher Lab to form the Gateway Project. Using the Gateway Project, AASPIRE conducted the Internet Use, Community, and Well-Being Study and collected data from 72 autistic adults online. It was hypothesized that the importance and value of involvement in the online Autistic community would be positively related to Autistic identity and sense of community, Autistic identity and sense of community would be positively related, and Autistic identity and sense of community would be positively related to psychological well-being. It was also hypothesized that the positive relationship between the importance and value of involvement in the online Autistic community and psychological well-being would be mediated by Autistic identity and sense of community. Correlations were examined among the hypothesized relationships, and a mediated regression model (Baron & Kenny, 1986) was used to explore the relationship between the importance and value of involvement in the online Autistic community and psychological well-being with Autistic identity and sense of community as mediators. Significant relationships were found between the importance and value of involvement in the online Autistic community and Autistic identity, between the importance and value of involvement in the online Autistic community and sense of community, and between autistic identity and sense of community. As a first step to test the mediated regression models, psychological well-being was regressed on the importance and value of involvement in the online Autistic community. The regression was not significant; therefore the hypothesized model was not significant. Despite non-significant mediated regression model results, significant relationships among the importance and value of involvement in the online Autistic community and Autistic identity and sense of community offer important results. These finding illuminate the potential positive impact of the importance and value of involvement in the online Autistic community, including evidence counter to the myth that autistic individuals lack skills necessary for social relationships. These findings support the positive utility of involvement in the online Autistic community for autistic adults. Further research with a larger sample size is recommended, due to low power coefficients in the analyses. Additional research may also further illuminate the findings of the current study. Possible topics may include sense of community and Autistic identity in individuals that do not use the Internet, differences in the way the Internet is used in autistic individuals, and different measures of involvement in the online Autistic community and well-being.