{"title":"Geoscience at the Confluence","authors":"Christopher Bailey","doi":"10.1130/gsatprsadrs23.1","DOIUrl":"https://doi.org/10.1130/gsatprsadrs23.1","url":null,"abstract":"","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139392416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Lavecchia, Federico Pietrolungo, S. Bello, D. Talone, Caludia Pandolfi, Carlo Andrenacci, Andrea Carducci, R. de Nardis
{"title":"Slowly Deforming Megathrusts within the Continental Lithosphere: A Case from Italy","authors":"G. Lavecchia, Federico Pietrolungo, S. Bello, D. Talone, Caludia Pandolfi, Carlo Andrenacci, Andrea Carducci, R. de Nardis","doi":"10.1130/gsatg573a.1","DOIUrl":"https://doi.org/10.1130/gsatg573a.1","url":null,"abstract":"","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":"58 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138622759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Our Rock and Mineral Exams Could Be Better","authors":"David Cordie, Elizabeth Ceperley","doi":"10.1130/gsatg578gw.1","DOIUrl":"https://doi.org/10.1130/gsatg578gw.1","url":null,"abstract":"","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":"19 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135509519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hannah Bonner, Leilani Arthurs, Ellen Roth, James Hagadorn
Paleogeographic maps are one of the most used earth science communication tools, but their efficacy with audiences remains unin-vestigated. We present new data that begins to close this gap, gleaned from an intercept interview study of two communities— practicing geoscientists (i.e., “professionals”) and adults who visit locations where paleo-geographic maps are commonly displayed (“the public”). In this work, we sought to determine: (1) how commonly used paleo-geographic maps convey the terrain and climate of ancient Earth; and (2) how community perception informs new practices for creating paleogeographic maps. When presented with paleogeographic maps, the public can identify about three large-scale landscape features (often including mountains and ocean) but not smaller or more subtle geomorphic features (e.g., rivers, volcanos, or plains). In contrast, practicing geoscientists identify about five features at a variety of spatial scales. Given an example of a warm, wet landscape, public audiences can describe one of two components of portrayed climate (i.e., warm or wet), but are less adept at identifying both climate components. Professionals are better able to identify climate components but are only able to fully describe climate 55% of the time. Paleogeographic maps catalyze curiosity in both public and professional audiences, commonly prompting questions or hypotheses about how ancient Earth reached modern-day conditions or about the time period shown. Professional geoscientists also want more information on sources of data. Recommendations to enhance the efficacy of paleographic maps include adding data sources and employing an aesthetic with detailed bathymetric shading, high contrast, and explicit climate indicators.
{"title":"Paleogeographic Maps: Audience Insights on Portrayal of Ancient Terrain and Climate","authors":"Hannah Bonner, Leilani Arthurs, Ellen Roth, James Hagadorn","doi":"10.1130/gsatg544a.1","DOIUrl":"https://doi.org/10.1130/gsatg544a.1","url":null,"abstract":"Paleogeographic maps are one of the most used earth science communication tools, but their efficacy with audiences remains unin-vestigated. We present new data that begins to close this gap, gleaned from an intercept interview study of two communities— practicing geoscientists (i.e., “professionals”) and adults who visit locations where paleo-geographic maps are commonly displayed (“the public”). In this work, we sought to determine: (1) how commonly used paleo-geographic maps convey the terrain and climate of ancient Earth; and (2) how community perception informs new practices for creating paleogeographic maps. When presented with paleogeographic maps, the public can identify about three large-scale landscape features (often including mountains and ocean) but not smaller or more subtle geomorphic features (e.g., rivers, volcanos, or plains). In contrast, practicing geoscientists identify about five features at a variety of spatial scales. Given an example of a warm, wet landscape, public audiences can describe one of two components of portrayed climate (i.e., warm or wet), but are less adept at identifying both climate components. Professionals are better able to identify climate components but are only able to fully describe climate 55% of the time. Paleogeographic maps catalyze curiosity in both public and professional audiences, commonly prompting questions or hypotheses about how ancient Earth reached modern-day conditions or about the time period shown. Professional geoscientists also want more information on sources of data. Recommendations to enhance the efficacy of paleographic maps include adding data sources and employing an aesthetic with detailed bathymetric shading, high contrast, and explicit climate indicators.","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136173174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
River deltas occupy only ~0.65% of Earth’s land surface, but collectively house ~4.5% of the global population and account for more than 6% of the global GDP. Because of ongoing human interventions in the past century (river diversions, ground-water and petroleum extraction, and urbanization), deltas are coming under additional and intense threat from climate change and the impending sea-level rise. Many high-latitude and tropical deltas where population pressure is low and human modification is minimal face less peril for the foreseeable future, but densely populated deltas, especially those in Asia with extreme urbanization and environmental pressures, will be more susceptible to land loss and drowning. Here we consider six key del-tas—Mississippi, Yangtze, Niger, Bengal, Nile, and Indus—emphasizing recent findings and consensus as to their health and how human activities have brought these vulnerable ecosystems perilously close to or beyond the point of no return.
{"title":"Perilous Future for River Deltas","authors":"Bilal U. Haq, J. Milliman","doi":"10.1130/gsatg566a.1","DOIUrl":"https://doi.org/10.1130/gsatg566a.1","url":null,"abstract":"River deltas occupy only ~0.65% of Earth’s land surface, but collectively house ~4.5% of the global population and account for more than 6% of the global GDP. Because of ongoing human interventions in the past century (river diversions, ground-water and petroleum extraction, and urbanization), deltas are coming under additional and intense threat from climate change and the impending sea-level rise. Many high-latitude and tropical deltas where population pressure is low and human modification is minimal face less peril for the foreseeable future, but densely populated deltas, especially those in Asia with extreme urbanization and environmental pressures, will be more susceptible to land loss and drowning. Here we consider six key del-tas—Mississippi, Yangtze, Niger, Bengal, Nile, and Indus—emphasizing recent findings and consensus as to their health and how human activities have brought these vulnerable ecosystems perilously close to or beyond the point of no return.","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49342032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Establishing an Ethic of Sampling for Future Generations of Geoscientists","authors":"Marjorie Chan, D. Mogk","doi":"10.1130/gsatg559gw.1","DOIUrl":"https://doi.org/10.1130/gsatg559gw.1","url":null,"abstract":"","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46454512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pittsburgh’s Geoheritage: A Legacy of Late Paleozoic and Pleistocene Glacial Events","authors":"Lon Abbott, Terri Cook","doi":"10.1130/gsatg112gh.1","DOIUrl":"https://doi.org/10.1130/gsatg112gh.1","url":null,"abstract":"","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139352337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Tikoff, T. Shipley, E. Nelson, R. Williams, N. Barshi, C. Wilson
The field of geology is poised to make a fundamental transition in the quality, character, and types of science that are possible for practitioners. Geologists are developing data systems—consistent with their workflow—to digitally collect, store, and share data. Separately, geologists and cognitive scientists have been working together to develop tools that can characterize the level of uncertainty of both data and models. The transformational change comes from the simultaneous combination of these two approaches: digital data systems designed to capture and convey scientific uncertainty. This approach promotes better data collection practice, improves reproducibility, and increases trust in community-based digital data. We applied these methods— attending to uncertainty and its incorporation into digital repositories—to the Sage Hen Flat pluton in eastern California, USA, where two published maps provide different interpretations. Incorporating uncertainty into our workflow, from field data collection to publication, allows us to move beyond binary choices (e.g., is this data/ model right or wrong?) to a more nuanced view (e.g., what is my level of uncertainty about the data/model?) that is shareable with the larger community.
地质学领域准备在科学的质量、特征和类型上进行根本性的转变，这对从业者来说是可能的。地质学家正在开发与他们的工作流程一致的数据系统，以数字方式收集、存储和共享数据。另外，地质学家和认知科学家一直在合作开发能够表征数据和模型不确定性水平的工具。转型变化来自这两种方法的同时结合：旨在捕捉和传达科学不确定性的数字数据系统。这种方法促进了更好的数据收集实践，提高了再现性，并增加了对社区数字数据的信任。我们将这些方法应用于美国加利福尼亚州东部的Sage Hen Flat岩体，以应对不确定性及其融入数字存储库的问题，在那里，两张已公布的地图提供了不同的解释。将不确定性纳入我们的工作流程，从现场数据收集到发布，使我们能够超越二元选择（例如，这个数据/模型是对是错？），转向更微妙的观点（例如，我对数据/模型的不确定性水平是多少？），与更大的社区共享。
{"title":"Improving the Practice of Geology through Explicit Inclusion of Scientific Uncertainty for Data and Models","authors":"B. Tikoff, T. Shipley, E. Nelson, R. Williams, N. Barshi, C. Wilson","doi":"10.1130/gsatg560a.1","DOIUrl":"https://doi.org/10.1130/gsatg560a.1","url":null,"abstract":"The field of geology is poised to make a fundamental transition in the quality, character, and types of science that are possible for practitioners. Geologists are developing data systems—consistent with their workflow—to digitally collect, store, and share data. Separately, geologists and cognitive scientists have been working together to develop tools that can characterize the level of uncertainty of both data and models. The transformational change comes from the simultaneous combination of these two approaches: digital data systems designed to capture and convey scientific uncertainty. This approach promotes better data collection practice, improves reproducibility, and increases trust in community-based digital data. We applied these methods— attending to uncertainty and its incorporation into digital repositories—to the Sage Hen Flat pluton in eastern California, USA, where two published maps provide different interpretations. Incorporating uncertainty into our workflow, from field data collection to publication, allows us to move beyond binary choices (e.g., is this data/ model right or wrong?) to a more nuanced view (e.g., what is my level of uncertainty about the data/model?) that is shareable with the larger community.","PeriodicalId":35784,"journal":{"name":"GSA Today","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49177673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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