Anna Linhoss
Assistant Professor
Department of Agricultural and Biological Engineering
Mississippi State University

PhD in Agricultural and Biological Engineering
University of Florida, 2011


Phone: 662-325-1983

Research Interests
The foundation of Dr. Linhoss' work is in hydrology and modeling,but her research interests extend beyond to the frontiers of eco-hydrology, agriculture, wetland dynamics,and sea level rise. The tools that she uses involve state-of-the-art modeling techniques including the application of global sensitivity and uncertainty analysis and decision analysis techniques.

Dr. Linhoss is interested in human and ecological vulnerabilities to water resource demands, climate change, and sea-level rise. She conducts research on how sea-level rise will cause marsh migration and investigates the environmental and economic implications of these movements. She is interested in developing decision analysis techniques regarding the development of sustainable resources practices. Dr. Linhoss has also developed a hydrologically based fish population model for the Okavango Delta, Botswana. The establishment of a linkage between the hydrology and ecology of this immense and dynamic oasis is particularly important for defining environmental flows.

Current Research Projects
Specific research project that Dr. Linhoss is involved in include:
* Hydrologic and ecological modeling: simulating the impacts of hydrology on ecological systems and vice versa with particular interest in system resilience and vulnerability.
* Global sensitivity and uncertainty analysis: using sensitivity and uncertainty analysis to 1) refine and simplify models,2) reduce model uncertainty, 3) target monitoring efforts, and 4) provide information regarding a model's reliability.
* Multicriteria decision analysis: using decision analysis within a multiple model framework to identify optimal management choices and rank existing entities.
* Coastal ecosystem services: understanding how oysters, sand transportation, and wetland dynamics provide services to humans and the environment under non stationary conditions such as climate change and sea-level rise.

Most Current Publications:
Linhoss, A.C., C.M. Seigert. 2015. A comparison of five forest interception models using global sensitivity and uncertainty analysis. Submitted to Journal of Hydrology. Dec 2015.

Linhoss, A.C., M.L. Tagert, H. Buka. 2015. Prior probability density functions, objective functions, and model structure affect model sensitivity and uncertainty: Application to an irrigation scheduler. Submitted to Biosystems Engineering. Oct 2015.

Linhoss, A.C., Ballweber, J. 2015. Incorporating uncertainty and decision analysis into a water sustainability index. Journal of Water Resources Planning and Management. A4015007-1. Link.

Linhoss, A.C., G. Kiker, M. Shirley, K. Frank. 2015. Sea-level rise, inundation, and marsh migration: Simulating impacts on developed lands and environmental systems. Journal of Coastal Research. 31(1):36-46. Link.

Linhoss, A.C., R. Munoz-Carpena, G. Kiker, K., and P. Wolski. 2015. Reducing uncertainty based on model fitness: Application to a reservoir model. Water South Africa, 41(1). Link.

Zhu, M., T. Hoctor, M. Volk, K. Frank, A.C. Linhoss. 2015. The conservation value of elevation data accuracy and model sophistication in reserve design under sea-level rise. Ecology and Evolution. 5(9):4376-4388. Link.

Linhoss, A.C., W. Underwood. 2015. Modeling salt panne land cover suitability under sea-level rise. Journal of Coastal Research. Published online ahead of print. Link.

Zhu, M., Frank, K., Hoctor, T., Volk, M., Linhoss, A.C., Zwick, P., Carr, M. 2015. Spatial Conservation Prioritization to Conserve Biodiversity in Response to Sea Level Rise and Land Use Change in the Matanzas River Basin, Northeast Florida. Landsacpe and Urban Planning. 144:103-118. Link.

Frank, K., M. Volk, D. Jordan, T. Hoctor, P. Zwick, M. Shrley, G. Kiker, A.C. Linhoss, 2015. Integrated and Collaborative Land Use Planning for Coastal Resilience. Journal of Planning Education and Research. Accepted pending revisions July, 2015.

Geosystems Research Institute  •  Contact GRI
Modified: December 2, 2020  •  WebMaster  •  Intranet