Robert L. Ficklin
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Sturgis Professor of Forest Biology
Also affiliated: University of Arkansas System (2024); University of Missouri (1996)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Robert L. Ficklin's research program investigates the impact of silvicultural treatments on carbon and nitrogen cycles within local forest ecosystems. He also studies the use of spectral modeling for measuring soil chemical and physical properties. His work includes examining changes in soil properties and vegetation during forest wetland restoration projects. Dr. Ficklin teaches courses in forest soils, forest ecology, tree ecophysiology, and natural resources sampling and monitoring at the University of Arkansas at Monticello, where he holds the Sturgis Endowed Chair of Forest Biology and serves as Associate Dean of Academics.
His scholarly output includes 19 publications with 72 citations and an h-index of 6. Recent publications address the effects of prescribed fire on forest reproduction, methods for linking fire behavior to ecological effects, and the application of machine learning to predict soil properties in the Lower Mississippi Alluvial Valley. Dr. Ficklin has collaborated with Matthew H. Pelkki, Douglas C. Osborne, and Benjamin A. Babst, all from the University of Arkansas at Monticello.
Metrics
- h-index: 6
- Publications: 19
- Citations: 73
Selected Publications
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Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir (2024)
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Prescribed Fire First-Order Effects on Oak and Maple Reproduction in Frequently Burned Upland Oak–Hickory Forests of the Arkansas Ozarks (2022)
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Long-term effects of group opening size and site preparation method on gap-cohort development in a temperate mixedwood forest (2020)
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Vegetation Diversity in Natural and Restored Forested Wetland Sites in Southeast Arkansas (2016)
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Edaphic and Vegetative Responses to Forested Wetland Restoration with Created Microtopography in Arkansas (2016)
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Effect of seedling stock on the early stand development and physiology of improved loblolly pine (Pinus taeda L.) seedlings (2016)
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Development of Near Infrared Spectral Models for Characterizing the Amy Soil Series (2014)
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Distribution of Soil Density at a Bottomland Hardwood Forest Wetland Restoration, Chicot County, Arkansas (2013)
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Characterizing the Variability of Physical and Chemical Properties across the Soil Individuals Mapped as Amy Silt Loam Soils in Southeastern Arkansas (2009)
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Assessment of repeated application of poultry litter on phosphorus and nitrogen dynamics in loblolly pine: Implications for water quality (2009)
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Quantifying Soil Chemical Properties Using Near Infrared Reflectance Spectroscopy (2007)
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Effects of Light Regime and Season of Clipping on the Growth of Cherrybark Oak, White Oak, Persimmon, and Sweetgum Sprouts (2007)
Collaboration Network
Top Collaborators
- Prescribed Fire First-Order Effects on Oak and Maple Reproduction in Frequently Burned Upland Oak–Hickory Forests of the Arkansas Ozarks
- Prescribed Fire First-Order Effects on Oak and Maple Reproduction in Frequently Burned Upland Oak–Hickory Forests of the Arkansas Ozarks
- Prescribed Fire First-Order Effects on Oak and Maple Reproduction in Frequently Burned Upland Oak–Hickory Forests of the Arkansas Ozarks
- Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir
- Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir
- Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir
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