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Skills:
Skills:
Retrieved and extracted large stable isotope datasets (NEON, IsoBank, IsoMap), filtered by region, time, and isotope type, and prepared files for R-based analysis.
Inspected, formatted, and subset isotopic datasets, resolved missing/inconsistent values, and structured data for statistical modeling.
Applied δ¹⁸O and δ²H principles to assess environmental and climatic influences, quantified niche breadth/overlap, and interpreted fractionation patterns across regions and seasons.
Conducted isotopic niche analysis with SIBER, implemented Bayesian ellipses, ran MixSIAR mixing models, generated isoscapes with assignR, and compared isotopic niches statistically.
Created scatterplots, confidence ellipses, and spatial maps; identified and explained outliers.
Led paper discussions, developed scientific presentations, summarized literature, and explained isotopic concepts.
Formulated ecological questions, selected analytical methods, integrated climate/hydrological context, and synthesized findings into coherent reports and presentations.
As a BEE695: Stable Isotope Ecology student, I undertook a small self-conducted research study in Stable Isotope Analysis. I elected to study isotopic variation in the atmosphere over two distinct climates. I was able to obtain the signal from the Global Meteoric Water Line and found distinctions in both regions.
The Global Meteoric Water Line (GMWL), describes the relationship between the stable isotopes of hydrogen (deuterium, ²H or D) and oxygen (¹⁸O) in precipitation. It's a linear relationship that serves as a baseline for understanding water sources and movement in various environments, and appears in my plots at its expected value and with the expected linearity - with deviations explained by climatic variations between the two analyzed regions (Massachusettes and Arizona) and at the two distinct times of year (April and October)
See the presentation slides below for visualizations and brief explanations of my results.
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