The objective of this dissertation is to enhance the monitoring of forest ecosystems through the utilization of remotely sensed data to address the exigencies posed by the Anthropocene. On a global scale, rising temperatures and fluctuating precipitation patterns have strained forests and produced shifts in natural disturbance regimes. Additionally, the...
Riparian zones are ecotones between terrestrial and aquatic ecosystems. Processes in streams are strongly influenced by riparian forest communities, age, stage and structure. Temperate forests across much of North America, including riparian areas, are recovering from historic land clearing with many stands in the stem-exclusion phase of development in which...
Organic semiconductors have attracted considerable attention due to their applications in low-cost, solution-processable (opto)electronic devices. An important class of high-performance organic semiconductors is pentacene derivatives, which exhibit high charger carrier mobilities in field-effect transistors and ultrafast singlet fission in photovoltaic devices. These derivatives have served as benchmark materials for systematic...
The global cryosphere, defined as the world’s ice and snow covered regions, is a crucial water source for society and ecosystem functions, as well as an important regulator of the earth’s energy budget. Melt from glaciers and seasonal snow cover provides water for more than a sixth of the world’s...
The climate of the Pacific Northwest is in flux, and existing forest ecosystems are stressed and poised to shift in fundamental ways, with or without human intervention. This dissertation probes the nature of forest responses to environmental change through investigations of morphology and genetics of three species of alder co-occurring...
Managing agricultural diversity ensures a range of public services, such as genetic resource diversity, food security for subsistence-based economies, and landscape resilience in the context of climate change, among others. These agrobiodiversity conservation services are positive externalities from agrobiodiversity conservation. Whereas their value is not captured in market transactions, management...
Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them.
Further, there have been concerns about the possibility of bias and discrimination in predictive applications.
In order to address these issues, we propose an...
This dissertation argues for rooting genealogies and origin stories of Disability Studies and Mad Studies in women of color feminist scholarship-activism. Turning to women of color feminist work as “alternative origin stories” shifts Disability Studies and Mad Studies away from limiting and often racist eurowestern models of Madness/disability. Women of...
Over the last several decades, there has been a marked increase in the amount of science outreach to the public with little attention paid to how scientists who conduct outreach perceive learning and how that applies to their outreach activities. This increase in outreach efforts is linked to the National...
Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...