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Biography and Research Information
OverviewAI-generated summary
Ayanna St. Rose's research investigates the complex interplay between landscape characteristics and ecosystem multifunctionality. Her work examines how structural, environmental, and geographic factors influence multi-trophic biodiversity within forested environments. St. Rose has published on the use of R packages for analyzing microbial ecology data, specifically focusing on soil microbe datasets from the National Ecological Observatory Network (NEON).
Her recent publications indicate a focus on developing and applying quantitative methods to understand ecological systems. She has explored how different components of landscape complexity, both physical and biological, contribute to a forest ecosystem's ability to perform multiple functions. St. Rose collaborates with Kusum Naithani at the University of Arkansas at Fayetteville, with whom she shares two publications.
Metrics
- h-index: 2
- Publications: 3
- Citations: 13
Selected Publications
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Unraveling the Influence of Structural Complexity, Environmental, and Geographic Factors on Multi‐Trophic Biodiversity in Forested Landscapes (2025)
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Combined Landscape Complexity is A Better Indicator of Ecosystem Multifunctionality in Forested Ecosystems than Physical or Biological Complexity Alone (2024)
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From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package (2021)
Collaboration Network
Top Collaborators
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- Unraveling the Influence of Structural Complexity, Environmental, and Geographic Factors on Multi‐Trophic Biodiversity in Forested Landscapes
- Combined Landscape Complexity is A Better Indicator of Ecosystem Multifunctionality in Forested Ecosystems than Physical or Biological Complexity Alone
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
- From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package
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