Alongside my core research themes, I contribute to collaborative and applied ecological research spanning plant functional traits, microclimate effects, and large-scale data synthesis. Much of this work emerges from interdisciplinary collaborations and working groups, where I apply quantitative and network-based approaches to diverse ecological questions.
Data Synthesis & Trait-Based Ecology
Contributor to large-scale, collaborative efforts that develop data infrastructure and quantitative methods for trait-based ecology. This work focuses on improving how ecological trait data are compiled, analyzed, and interpreted across systems and scales.
- Contributor to the TRY database, supporting global-scale analyses of plant functional diversity and ecological strategies
- Bootstrapping outperforms community-weighted approaches for estimating phenotypic trait distributions, improving inference under data limitation Methods in Ecology and Evolution, 2023
- Plant species and traits respond to environmental gradients and microclimate variation across landscapes Journal of Vegetation Science, 2023; Oikos, 2022
Community Science & Responsible Research
Participant in interdisciplinary working groups focused on data synthesis, open science, and the future of ecological research. These projects emphasize collaboration, inclusivity, the co-development of research agendas and training models, and examining how scientific practices, tools, and incentives shape ecological research outcomes.
- Designing a Collective Prototype of Future Tropical and Subtropical Science, outlining collaborative frameworks for equitable and forward-looking research
- Next-Generation Field Courses, integrating open science principles and online learning into ecological education
- From a Crisis to an Opportunity, synthesizing lessons for collaborative science during and beyond the COVID-19 era
- Pressure to publish introduces LLM risks, assessing how publication pressure interacts with emerging AI tools and outlining risks and best practices for responsible use in ecology
- BES Guide to Reproducible Code, a community-developed resource providing practical guidance for writing transparent, reusable, and reproducible research code