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- Creator:
- Lojko, Alexander, Zhang, Yingxiao, Whitcomb, Morgan, Yang, Emily, Dacic, Natasha, and Holmes, Janelle
- Description:
- GIS (.lpkx) data layers that inform of areas to construct new rain gardens in Washtenaw County, Ann Arbor, Michigan. Data layers can be opened with a GIS program. There is a single .lpkx dataset that contains four layers. The first layer contains 'Wildlife Corridors' which contains information on where to prioritize new green infrastructure based on how well-connected different patches of forested areas are. The second layer, 'Social Inequality', shows where to prioritize new rain gardens based on social inequality criteria. The 'Creeksheds and Future Runoff' contains information on future changes in precipitation runoff based on climate change projections of rainfall. Lastly, 'Runoff/Water Quality' is a layer that includes a priority map regarding where new rain gardens should be developed based on areas that are most at risk of poor water quality and enhanced surface run-off. The project was completed for Washtenaw County Water Resources as part of a course taught at the University of Michigan, CLIMATE 592. A description of the course is also provided: "Introduction to individual and team research on real-world problems in the area of applied climate. On a research project started in CLIMATE 591 and guided by a mentor from a commercial or government laboratory, students will apply the principles of risk analysis and objective assessment of adaptive strategies".
- Keyword:
- GIS, Climate Change, Local, Community, and Graduate Student Project
- Citation to related publication:
- Dacic, N., Lojko, A., Zhang, Y., Yang, E., Whitcomb, M., Bassis, J., and Rood., R.B., 2023 'Modernizing the Climate Science Curriculum: Engaging in Local Government Collaboration Projects', In Preperation for the Bulletin of American Meteorological Society
- Discipline:
- Science
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- Creator:
- Fuller, Jennifer, Rowan, Erin, Landgraf, Ava, Alofs, Karen, Foufopoulos, Johannes, and Gronewold, Andrew
- Description:
- This study investigates the rapid decline of black tern (Chlidonias niger) over eight years in one of Michigan’s largest colonies, Lake St. Clair. 1. Nesting Success Model: A multiple logistic regression with a binomial (logit-link) fit using the glm() function from the ‘stats’ package in R (55) to determine the influence of habitat and biological predictors on nesting survival. 2. ArcMap visualization of Nesting Success: To visualize the geographic extent of the habitat’s potential to predispose nests’ vulnerability, the coefficients and intercept from our selected GLM were applied to raster layers in ArcMap using the Raster Calculator Tool. 3. Population Change & Habitat Extent: To quantify sub-colony breeding pair population size and their response to changes in sub-colony habitat in the geospatial model, we applied a general linear mixed model (GLMM) using the lmer() function from the ‘lme4’ package in R (55). Predictor variables were chosen a priori, and included the area of open water, uninhabitable vegetation (NDVI>0.72), any habitable area, and area with >50% hatch success.
- Keyword:
- black terns, wetlands, ecology, climate change, lake levels, Great Lakes, waterbirds, ornithology, general linear model, geospatial, GIS, nesting success, avian, and breeding
- Citation to related publication:
- Fuller, J., Rowan, E., Landgraf, A., Alofs, K., Foufopoulos, J., Gronewold, A., (2021). Collapse of a Black Tern Colony (Chlidonias niger) as a Result of Climate Change Driven Lake-Level Extremes and Anthropogenic Habitat Alteration [Data set]. University of Michigan - Deep Blue. and Fuller, J., et al. (2021). Shorebird colony collapses under climate driven lake-level rise and anthropogenic stressors. Forthcoming.
- Discipline:
- Science