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School of Global Environmental Sustainability

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https://hdl.handle.net/10217/189446
These digital collections include faculty publications and datasets from the School of Global Environmental Sustainability.

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Browsing School of Global Environmental Sustainability by Subject "climate change"

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    ItemOpen Access
    Climate indicators for agriculture
    (Colorado State University. Libraries, 2020-07) Walsh, Margaret K., author; Backlund, Peter W., author; Buja, Lawrence, author; DeGaetano, Arthur, author; Melnick, Rachel, author; Prokopy, Linda, author; Takle, Eugene, author; Todey, Dennis, author; Ziska, Louis, author
    Climate Indicators for Agriculture identifies 20 climate indicators that are important for agricultural management in a changing climate. The same indicators will allow scientists to identify the types and magnitude of change faced by agricultural producers and land managers across the United States. Five categories of indicator are described. Physical indicators show changes in climate variables that have direct effects on agricultural production and food systems. Crop and Livestock indicators show climate-induced changes in agricultural systems. Biological Indicators show how climate change is altering the range and infestation intensities of weeds, pests, disease and disease vectors that affect crop production and animal agriculture. Phenological Indicators show how climate change is affecting the timing of seasonal activities in agriculture, such as the date of flowering and pollination for a given crop. Socioeconomic Indicators show how human and economic factors in agriculture are affected by climate change.
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    Dataset associated with "Visions of the Arctic Future: Blending Computational Text Analysis And Structured Futuring to Create Story-based Scenarios"
    (Colorado State University. Libraries, 2021) Keys, Patrick; Meyer, Alexis
    The future of Arctic social systems and natural environments is highly uncertain. Climate change will lead to unprecedented phenomena in the pan-Arctic region, such as regular shipping traffic through the Arctic Ocean, urban growth, military activity, expanding agricultural frontiers, and transformed indigenous societies.While intergovernmental to local organizations have produced numerous synthesis-based visions of the future, a challenge in any scenario exercise is capturing the possibility space of change. In this work, we employ a computational text analysis to objectively generate unique thematic input for novel, story-based visions of the Arctic. Specifically, we develop a corpus of more than 2,000 articles in publicly accessible, English-language Arctic newspapers that discuss the future in the Arctic. We then perform a latent Dirichlet allocation, resulting in ten distinct topics and sets of associated keywords. From these topics and keywords, we design ten story-based scenarios employing the Mānoa mashup, science fiction prototyping, and other methods. Our results demonstrate that computational text analysis can feed directly into a creative futuring process, whereby the output stories can be traced clearly back to the objectively identified topics and keywords. We discuss our findings in the context of the broader field of Arctic scenarios, and show that the results of this computational text analysis produce complementary stories to the existing scenario literature. We conclude that story-based scenarios can provide vital texture toward understanding the myriad possible Arctic futures.