Kusum Naithani
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Also affiliated: University of Wyoming (2007–2018); Pennsylvania State University (2012–2013)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Kusum Naithani's research focuses on ecological and environmental science, with a particular emphasis on soil microbiology, biodiversity, and ecosystem services. She holds an h-index of 13 with 72 publications and 991 citations. Naithani has been a principal investigator or co-principal investigator on two National Science Foundation (NSF) grants totaling $878,466. These grants support research and education initiatives focused on the assessment and sustainable management of ecosystem services within food, energy, and water systems, including REU (Research Experiences for Undergraduates) sites.
Her recent publications explore diverse areas within environmental science. These include the utilization of NEON (National Ecological Observatory Network) data for open environmental science, the evaluation of greenhouse gas emissions in the food and beverage sector, and the development of data-wrangling tools for microbial ecology. Naithani also investigates the recovery of soil microbial diversity and functions following disturbance in tropical montane forests, the impact of grazing on insect biodiversity in pastures, and the use of bee morphology to understand foraging ranges and conservation needs. She actively collaborates with researchers at the University of Arkansas at Fayetteville, including Megan Reavis, Ayanna St. Rose, Neelendra K. Joshi, and Andy Pereira.
Metrics
- h-index: 13
- Publications: 72
- Citations: 1,000
Selected Publications
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CU-ESIIL/Innovation-Summit-2025: 1.1.0 (2026)
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CU-ESIIL/Innovation-Summit-2025: 1.1.0 (2026)
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Modeling rice leaf area index and canopy height in the US Mid‐South region (2025)
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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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Intertegular Distance of Wild Bees and its Use in Estimating Proboscis Lengths and Foraging Ranges to Better Understand Bee Conservation Ecology (2024)
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Sheep grazing influences the abundance, diversity, and community composition of wild bees and other insects in livestock pastures (2024)
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A Problem with Distance Variables and Alternatives for Their Use (2024)
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Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes (2023)
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People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks (2022)
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Recovery of soil microbial diversity and functions along a tropical montane forest disturbance gradient (2022)
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Building communities of teaching practice and data‐driven open education resources with <scp>NEON</scp> faculty mentoring networks (2022)
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Evaluating Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector (2022)
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Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community (2021)
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From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the <i>neonMicrobe</i> R package (2021)
Federal Grants 2 $878,466 total
Collaboration Network
Top Collaborators
- Evaluating Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Evaluating the Landscape of Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
- 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
- Evaluating Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Evaluating the Landscape of Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Evaluating Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Evaluating the Landscape of Greenhouse Gas Emissions and Climate Mitigation Goals of the Global Food and Beverage Sector
- Recovery of soil microbial diversity and functions along a tropical montane forest disturbance gradient
- A Problem with Distance Variables and Alternatives for Their Use
- Sheep grazing influences the abundance, diversity, and community composition of wild bees and other insects in livestock pastures
- Intertegular Distance of Wild Bees and its Use in Estimating Proboscis Lengths and Foraging Ranges to Better Understand Bee Conservation Ecology
- 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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