Lab projects - GremerLab/Resources GitHub Wiki
Gremer lab projects
This page is to organize and summarize ongoing and past projects in the lab. Please include 1) a brief description of the project, 2) a section that links to data for the project, 3) a section that links to code and/or repositories for the project, and 4) a section with links to any presentations, posters, or manuscripts resulting from the project. NOTE: data and files should be stored elsewhere (preferably Box and on Github, in addition to your hard drive) and backed up regularly! This page is to organize where to find those files and information.
Streptanthus tortuosus life history and demography
Description
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Data
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Code and repos
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Presentations and papers
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Streptanthus Dimensions
IntBIO: Integrative Demography: Combining Ecology, Remote Sensing, and Genomics to Understand Population Dynamics
Description
This project aims to build integrative demographic models to better predict population persistence and species' response to climate change. More specifically, we will use genomics to quantify genetic variation among individuals; spectral remote sensing to understand the impact of stressors, the environment, and genotype on plant physiology and growth; and a demographic modeling framework to integrate and scale these measures to understand and predict the factors underlying population persistence or extinction. To accomplish these goals, we are conducting common garden experiments, at both high and low elevation, with Streptanthus tortuosus.
Data
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Code and repos
See IntBio Github
Presentations and papers
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Gradient Rainfall Manipulation Plots (GRaMPs)
Description
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Data
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Code and repos
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Presentations and papers
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McLaughlin Seedbank project
Description
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Data
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Code and repos
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Presentations and papers
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Seed Traits and HMMs project
Description
This project, led by Marina LaForgia, investigates whether spatial and temporal dispersal trade off in annual plants and whether this trade-off can be explained by seed traits. Spatial and temporal dispersal probabilities were estimated using hidden Markov models applied to long-term plant presence/absence data. Seeds of ~300 species were collected from various locations throughout CA and AZ and supplemented with seeds from the California Botanic Garden and the USDA GRIN. Eleven seed traits were measured between 2021 and 2023. This project was funded by a USDA NIFA Postdoctoral Fellowship and a L'Oreal For Women in Science Fellowship. Collaborators include Drs. Lauren Hallett, Susan Harrison, Pierre-Olivier Cheptou, Loralee Larios, and Larry Venable. Two papers are being written from this project, one exploring these trade-offs in native vs non-native species at the UC McLaughlin Natural Reserve and another exploring how this trade-off and the traits underlying the trade-off vary across an aridity gradient.
Data
Code and repos
Presentations and papers
Testing Intraspecific Defense Trade-offs in S. tortuosus
Description
This project, led by Danielle De La Pascua, aim to test key defense strategy and growth trade-offs within a species. While these trade-offs hold among species, they may not hold when we look within species. Shared genetic similarity coupled with differences in environment may drive positive relationships between these traits instead - where populations in higher resource areas may be able to invest in higher constitutive and induced defenses as well as growth. This experiment, which induced defenses using cabbage white caterpillars, aims to test this hypothesis. Preliminary results suggest that different populations have different defense profiles.
Code and repos
Herbivory & Drought effects on life history & seed defenses
Description
This project, led by Elena Suglia and Danielle De La Pascua, investigates the effects of variation in herbivory timing and drought on key life history traits (such as phenology and fecundity), and on investment in seed defenses. This experiment was performed during the Summer of 2021, where 8 populations of S. tortuosus were exposed to 5 different watering treatments spanning different levels of water availability and 3 simulated herbivory treatments (no herbivory, herbivory during flowering, herbivolry during fruiting).