College of Behavioral & Social Sciences
Permanent URI for this communityhttp://hdl.handle.net/1903/8
The collections in this community comprise faculty research works, as well as graduate theses and dissertations..
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Item Understanding Values in Organizational Contexts: The Case of Species Conservation(2021) Dewey, Amanda Michelle Milster; Ray, Rashawn; Sociology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Biodiversity loss poses an existential threat to human life, and human activities both intentionally and unintentionally affect other species. Values provide an important tool for explaining such human behavior. While we have evidence of the causes and consequences of wildlife values at the individual level, much human activity that influences wildlife occurs in organizational settings. This project seeks to uncover the roles and negotiation of values in conservation organizations, filling an important research gap. The project uses a case study approach to illuminate the role and negotiation of values in case studies of three wildlife conservation contexts: national wildlife conservation, red wolf conservation, and horseshoe crab conservation in the mid-Atlantic. Through strategic selection of two organizations in each case, I explore how values function in these varied conservation contexts using interviews with staff and volunteers and content analysis of websites and social media. I argue that a broader typology of value frames exists within wildlife conservation organizations than is traditionally discussed in wildlife value literature. I find that frames include moral conservationist, community-steward, and complex utilitarian values, adding nuance to the previously understood value spectrum of humans versus nature. While findings indicated that values were behavior motivators for volunteers, volunteers were more likely to perceive and attempt to construct value alignment than to actively seeking organizations that were compatible with their values. While organizations proclaimed their values and described using values in determining tactics and approaches, they also did not report consciously attempting to align values in processes of volunteer recruitment. Findings indicated differences in value processes in local versus national organizations, and a complex value framing in organizational settings. Despite the fact that the COVID-19 pandemic is an extremely disruptive social event that was directly tied to wildlife and biodiversity issues, this connection was not highlighted equally by volunteers or organizations, nor did organizations equally or significantly respond to a nationwide call to reckon with racial injustice. I argue that the organizations and volunteers who framed their values and approaches more broadly and included moral value of the wellbeing of both humans and other species were more responsive to changing social contexts.Item LONG-TERM IMPACTS OF AMAZON FOREST DEGRADATION ON CARBON STOCKS AND ANIMAL COMMUNITIES: COMBINING SOUND, STRUCTURE, AND SATELLITE DATA(2020) Rappaport, Danielle I; Dubayah, Ralph; Morton, Douglas; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The Amazon forest plays a vital role in the Earth system, yet forest degradation from logging and fire jeopardizes carbon storage and biodiversity conservation along the deforestation frontier. Polices to reduce forest carbon emissions (REDD+) will fall short of their intended goals unless carbon and biodiversity losses from forest degradation can be monitored over time. Emerging remote sensing tools, lidar and ecoacoustics, provide a means to monitor carbon and biodiversity across spatial, temporal, and taxonomic scales to address data gaps on species distributions and time-scales for recovery. This dissertation draws from a novel multi-sensor perspective to characterize the long-term ecological legacy of Amazon forest degradation across a 20,000 km2 landscape in Mato Grosso, Brazil. It combines high-density airborne lidar, 1100 hours of acoustic surveys, and annual time series of Landsat data to pursue three complementary studies. Chapter 2 establishes the bedrock of the investigation by using fine-scale measurements of structure sampled across a large diversity of degraded forests to model the initial loss and time-dependent recovery of carbon stocks and habitat structure following fire and logging. Chapter 3 models the interactions between sound and structure to predict acoustic community variation, and to account for attenuation in dense tropical forests. Lastly, Chapter 4 uses sound to go beyond structure to identify the specific degradation sequences and pseudo-taxa that give rise to variation in the ‘acoustic guild’ over time. Soundscapes reveal strong and sustained shifts in insect assemblages following fire, and a decoupling of biotic and biomass recovery following logging that defy theoretical predictions (Acoustic Niche Hypothesis). The synergies between lidar and acoustic data confirm the long-term legacy of forest degradation on both forest structure and animal communities in frontier Amazon forests. After multiple fires, forests become carbon-poor, habitats become simplified, and animal communication networks became quieter, less connected, and more homogenous. The combined results quantify large potential benefits to protecting already-burned Amazon forests from recurrent fires. This dissertation paves the way for greater integration of remote sensing and analysis tools to enhance capabilities for bringing biomass and biodiversity monitoring to scale. Building on this research with species-level and multi-temporal measurements will reduce uncertainty around the breakpoints that drive carbon and biodiversity loss following degradation.