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- Creator:
- Cody H. Pham, Jason M. Tallant, J. Jordan Price, and David N. Karowe
- Description:
- Anthropogenic climate change will dramatically alter species distributions. The rate and magnitude of range shifts, however, will differ among taxa, resulting in altered patterns of co-occurrence and interspecific interactions. We examined potential climate-mediated breeding range shifts among North American wood-warblers (Parulidae), a speciose avian family likely to be especially impacted by such changes. We used publicly available species distribution model (SDM) range outputs to compare current ranges and patterns of sympatry among warbler species to future ranges and sympatry under 1.5 °C, 2.0 °C, and 3.0 °C of average global warming. We used these outputs to calculate average breeding range area, range overlap among species, number of sympatric species, and distances of breeding range shifts. We additionally calculated the number gained and lost sympatric interactions under each warming scenario.
- Keyword:
- wood-warbler, University of Michigan Biological Station (UMBS), Research Experience for Undergraduates (REU), climate change, interspecific, range shift, species distribution models, sympatric, and student-friendly
- Discipline:
- Science
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- Creator:
- Hawes, Jason K, Johnson, Rebecca, Payne, Lindsey, Ley, Christian, Grady, Caitlin A., Domenech, Jennifer, Evich, Carly D., Kanach, Andrew, Koeppen, Allison, Roe, Kristen, Caprio, Audrey, Puente Castro, Jessica, LeMaster, Paige, and Blatchley, Ernest R. III
- Description:
- Global service-learning brings students, instructors, and communities together to support learning and community development across borders. In doing so, global service-learning practitioners act at the intersection of two fields: service-learning and international development. Critical scholarship in all three domains has highlighted the tensions inherent in defining and tracking “success” in community development. In response, service-learning and international development have turned considerable attention to documenting project characteristics, also known as best practices or success factors, which support equitable, sustainable community development. This database accompanies the article "Global Service-Learning - A systematic review of principle and practice," which presents a systematic synthesis of these fields’ best practices in the context of global service-learning. We propose 18 guiding principles for project design which aim to support practitioners in creating and maintaining justice-oriented, stakeholder-driven projects. This database contains the necessary reference material to trace the path of our analysis from abstract review to thematic synthesis. It also contains the final results of the thematic synthesis. To respect copyright restrictions, we have not made PDFs of all articles analyzed publicly accessible. Please contact the authors of this database or of the original article if you seek to access one of the articles we reference. For more information, see: Hawes, J. K., et al. “Global Service-Learning - A Systematic Review of Principle and Practice.” International Journal of Research on Service-Learning and Community Engagement 10, no. 1 (2022).
- Keyword:
- service-learning, international development, global service-learning, best practices, equitable development, higher education, community engagement, and student-friendly
- Citation to related publication:
- Hawes, J. K. (2021). Global Service-Learning—A systematic review of principle and practice. International Journal of Research on Service-Learning and Community Engagement, 10(1). https://doi.org/10.37333/001c.31383
- Discipline:
- International Studies and Other
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- Creator:
- Herrick, Etienne M
- Description:
- This data was produced as part of field experiment investigating the extent, drivers, and consequences of functional trait variation in cover crops. Specifically, we studied the role of intraspecific trait variation in explaining interactions between species in cover crop mixtures, and whether and how intraspecific trait variation improves understanding of relationships between functional traits and ecosystem services from cover crops.
- Keyword:
- agroecology, cover crops, functional diversity, functional traits, intraspecific trait variation, ecosystem services, nitrogen, species interactions, and student-friendly
- Citation to related publication:
- Herrick, E., and Blesh, J. (2021) Intraspecific trait variation improves understanding and management of cover crop outcomes. Ecosphere.
- Discipline:
- Science
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- Creator:
- Benjamin Leffel
- Description:
- Data were gathered to test three hypotheses on the impact economic growth has on environmental conditions in urban areas. The three hypotheses are: 1. Income will be associated with reductions in PM2.5, PM10, NO2 and SO2. 2. Public Administration GVA will be associated with reductions in PM2.5, PM10, NO2 and SO2. 3. Urban density will be associated with reductions in PM2.5, PM10, NO2 and SO2. More information about the research and the data can be found in: Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349.
- Keyword:
- global cities, environment, urban, air pollution, income, Urban Sustainability Research Group, and student-friendly
- Citation to related publication:
- Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349
- Discipline:
- Social Sciences
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- Creator:
- Fries, Kevin J
- Description:
- This data is in support of the publication in review "Using sensor data to dynamically map large-scale models to site-scale forecasts: A case study using the National Water Model". It is all the raw data extracted from the NWM flow forecasts for Iowa and the IFIS stage readings. For the NWM data, each date has it's own tab-delimited file with columns being the time (hrs) and rows being the NHD site. For the IFIS gages, each tab delimited file is for a single site for the period of record.
- Keyword:
- student-friendly
- Discipline:
- Engineering
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- Creator:
- Blesh, Jennifer and King, Alison E.
- Description:
- This dataset contains three data files used in: King, A.E. and J. Blesh, 2017. Crop rotations for increased soil carbon: perenniality as a guiding principle. Ecological Applications. There are also three corresponding metadata files. The file “CRMA 2017 Main.csv” contains data for the control and treatment rotations used to construct pairwise comparisons for meta-analysis, response ratios calculated for soil organic carbon concentration, and change in carbon input. The dataset also includes management, soil, and other environmental characteristics for each site. The file “CRMA 2017 Diversity x Nitrogen.csv” contains data used to test whether N fertilizer inputs mediated the effect of functional diversity on SOC concentrations. The file “CRMA Annual grain.csv” contains data used to test for effects of crop rotation species diversity (one vs. two species, or two vs. three species) on SOC concentrations and C input (i.e., for the “grain-only” rotations). The dataset also includes management, soil, and other environmental characteristics for each site. The corresponding metadata files: “CRMA 2017 Main_metadata.csv”, “CRMA 2017 Diversity x Nitrogen_metadata.csv”, and “CRMA Annual grain _metadata.csv” provide a detailed description of all variables in each dataset. Note: On Jan 12, 2018 the following information was added to the three metadata files: the name of the data file the metadata refers to, an explanation as to the meaning of blank cells in the data file, a full citation to the paper where the author describes her findings and contact information for the author.
- Keyword:
- soil carbon, functional diversity, meta-analysis, cropping system, and student-friendly
- Discipline:
- Science
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- Creator:
- Fries, Kevin J.
- Description:
- This data is in support of the WRR paper by Fries and Kerkez: Big Ship Data: Using Vessel Measurements to Improve Estimates of Temperature and Wind Speed on the Great Lakes Code is also provided
- Keyword:
- Gaussian process regression, Data integration, Wind speed, Water surface temperature, Air temperature, and student-friendly
- Citation to related publication:
- Fries, K., and B. Kerkez (2017), Big Ship Data: Using vessel measurements to improve estimates of temperature and wind speed on the Great Lakes, Water Resour. Res., 53, 3662–3679, http://doi.org/10.1002/2016WR020084.
- Discipline:
- Engineering