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Full-Text Articles in Social and Behavioral Sciences

Gather, Educate, Prepare: Libraries As Champions To Build Informed And Climate-Resilient Communities, Adrian K. Ho, René Tanner, Monika Antonelli Jun 2020

Gather, Educate, Prepare: Libraries As Champions To Build Informed And Climate-Resilient Communities, Adrian K. Ho, René Tanner, Monika Antonelli

Library Presentations

The past few years have witnessed increasing numbers of discussions and programs about the impacts of climate change, addressing topics from the devastating wildfires in California, relentless heat waves in Europe, to the accelerating thaw of the ice sheet in Greenland. The media has described the social atmosphere using such terms as climate angst, ecological grief, and existential crisis. Weighed down by a steady stream of climate news, some people have sought professional help for guidance on tackling emotional responses to natural disasters and climate trauma. Meanwhile, many of us are wondering what can be done. As a central player …


Global Pattern And Change Of Cropland Soil Organic Carbon During 1901-2010: Roles Of Climate, Atmospheric Chemistry, Land Use And Management, Wei Ren, Kamaljit Banger, Bo Tao, Jia Yang, Yawen Huang, Hanqin Tian Mar 2020

Global Pattern And Change Of Cropland Soil Organic Carbon During 1901-2010: Roles Of Climate, Atmospheric Chemistry, Land Use And Management, Wei Ren, Kamaljit Banger, Bo Tao, Jia Yang, Yawen Huang, Hanqin Tian

Plant and Soil Sciences Faculty Publications

Soil organic carbon (SOC) in croplands is a key property of soil quality for ensuring food security and agricultural sustainability, and also plays a central role in the global carbon (C) budget. When managed sustainably, soils may play a critical role in mitigating climate change by sequestering C and decreasing greenhouse gas emissions into the atmosphere. However, the magnitude and spatio-temporal patterns of global cropland SOC are far from well constrained due to high land surface heterogeneity, complicated mechanisms, and multiple influencing factors. Here, we use a process-based agroecosystem model (DLEM-Ag) in combination with diverse spatially-explicit gridded environmental data to …


Does The Emission Trading System Reduce Greenhouse Gas Emissions & Coal Consumption And Lead To An Increase In Renewable Energy? – Evidence From Oecd Member Countries, Pilmu Ryu Jan 2019

Does The Emission Trading System Reduce Greenhouse Gas Emissions & Coal Consumption And Lead To An Increase In Renewable Energy? – Evidence From Oecd Member Countries, Pilmu Ryu

MPA/MPP/MPFM Capstone Projects

The Emission Trading System (ETS) on greenhouse gas (GHG) is a climate change policy well-known as a market-based mitigation mechanism. However, policymakers have faced strong opposition of many stakeholders and failed to persuade them in the process to introduce the ETS. Objective evidence on ETS impact not only provides information to policymakers but also may help alleviate controversy between stakeholders and policymakers. Also, empirical results on ETS will be able to contribute to the theoretical economic study of cap-and-trade. In this context, this research aims at empirical analyses of ETS impact with regard to GHG emissions, coal consumption, and renewable …


Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology, Liang Liang, Mark D. Schwartz, Xiaoyang Zhang Apr 2016

Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology, Liang Liang, Mark D. Schwartz, Xiaoyang Zhang

Geography Faculty Publications

Climate influences geographic differences of vegetation phenology through both contemporary and historical variability. The latter effect is embodied in vegetation heterogeneity underlain by spatially varied genotype and species compositions tied to climatic adaptation. Such long-term climatic effects are difficult to map and therefore often neglected in evaluating spatially explicit phenological responses to climate change. In this study we demonstrate a way to indirectly infer the portion of land surface phenology variation that is potentially contributed by underlying genotypic differences across space. The method undertaken normalized remotely sensed vegetation start-of-season (or greenup onset) with a cloned plants-based phenological model. As the …