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Biography and Research Information
OverviewAI-generated summary
Ayanna St. Rose's research investigates the relationships between landscape complexity and biodiversity, with a focus on forested ecosystems. Her work examines how structural, environmental, and geographic factors influence multi-trophic biodiversity. St. Rose also studies the effectiveness of combined landscape complexity as an indicator of ecosystem multifunctionality, comparing it to physical or biological complexity alone. She has contributed to the development of an R package, "neonMicrobe," designed to facilitate the analysis of soil microbe data from DNA sequences, linking it to microbial ecology.
Metrics
- h-index: 1
- Publications: 3
- Citations: 10
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
- 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
- Combined Landscape Complexity is A Better Indicator of Ecosystem Multifunctionality in Forested Ecosystems than Physical or Biological Complexity Alone
- Combined Landscape Complexity is A Better Indicator of Ecosystem Multifunctionality in Forested Ecosystems than Physical or Biological Complexity Alone
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