Hydrology of Polk County, Florida

Spechler, R.M.; Kroening, Sharon E.

doi:10.3133/sir20065320

Cited by 7 publications

(4 citation statements)

References 53 publications

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“…The surface is mantled with a varying thickness of clastic material (sand and clay) that was deposited in fluctuating shallow seas (Lee, 2009). The Upper Floridan aquifer groundwater mound hinders the downward movement of water, as well as high clay content in the soils at larger depths and confining layers stabilize the groundwater (Nilsson et al, 2013;Spechler & Kroening, 2007).…”

Section: Green Swamp Areamentioning

confidence: 99%

Wetlandscape hydrologic dynamics driven by shallow groundwater and landscape topography

Bertassello

Rao

Jawitz

et al. 2020

Hydrological Processes

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Wetlands play an important role in watershed eco‐hydrology. The occurrence and distribution of wetlands in a landscape are affected by the surface topography and the hydro‐climatic conditions. Here, we propose a minimalist probabilistic approach to describe the dynamic behaviour of wetlandscape attributes, including number of inundated wetlands and the statistical properties of wetland stage, surface area, perimeter, and storage volume. The method relies on two major assumptions: (a) wetland bottom hydrologic resistance is negligible; and (b) groundwater level is parallel to the mean terrain elevation. The approach links the number of inundated wetlands (depressions with water) to the distribution of wetland bottoms and divides, and the position of the shallow water table. We compared the wetlandscape attribute dynamics estimated from the probabilistic approach to those determined from a parsimonious hydrologic model for groundwater‐dominated wetlands. We test the reliability of the assumptions of both models using data from six cypress dome wetlands in the Green Swamp Wildlife Management Area, Florida. The results of the hydrologic model for groundwater‐dominated wetlands showed that the number of inundated wetlands has a unimodal dependence on the groundwater level, as predicted by the probabilistic approach. The proposed models provide a quantitative basis to understand the physical processes that drive the spatiotemporal hydrologic dynamics in wetlandscapes impacted by shallow groundwater fluctuations. Emergent patterns in wetlandscape hydrologic dynamics are of key importance not only for the conservation of water resources, but also for a wide range of eco‐hydrological services provided by connectivity between wetlands and their surrounding uplands.

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Section: Green Swamp Areamentioning

confidence: 99%

Wetlandscape hydrologic dynamics driven by shallow groundwater and landscape topography

Bertassello

Rao

Jawitz

et al. 2020

Hydrological Processes

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“…The average annual temperature is around 22 °C, and the average monthly temperature varies from approximately 16 °C in January and 28 °C in August. However, from June to September, the temperature can be above 32 °C (Spechler & Kroening, 2007).…”

Section: Methodsmentioning

confidence: 99%

Allometric Equations to Predict Pinus palustris Biomass in the Southeastern United States

et al. 2019

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Pinus palustris Mill. ecosystem is considered one of the most threatened of North America. In this context, studies on biomass quantification are fundamental for forest management plans. Thus, the objective of this study was to develop a set of allometric equations to predict total P. palustris stump-biomass. Biomass data were collected at different locations in the southeastern United States. A total of 119 allometric equations were fitted from the combination of explanatory variables: diameter at breast height (DBH), height (H), age (I), basal area (G), number of trees per hectare (N), site index (S) and quadratic diameter (Dq). One of the models that presented the lowest residual standard error (Sy.x) and root mean square error (RMSE) was ln(W) =-0.9978+0.7082.(H)+0.1009.ln(H.DBH)-0.5310.(N)-0.0003.ln(Dq). Therefore, the insertion of dendrometric variables characteristic of forest stands has great efficacy in biomass prediction for trees from different sites.

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“…Meyer (1989) provides a comprehensive characterization of the hydrogeologic framework of southern Florida. Spechler and Kroening (2007) present a comprehensive study of Polk County hydrology. Reese (2000) and Missimer and Martin (2001) present the hydrogeology and water quality of the FAS in Lee, Hendry and Collier Counties. Statewide hydrochemical characterizations of the upper FAS have focused on aquifer-system mineralogy and processes that led to observed native groundwater chemistry (e.g., Plummer, 1977;Sprinkle, 1989), and hydrochemical facies (Katz, 1992).…”

Section: Previous Investigationsmentioning

confidence: 99%

Hydrogeologic framework of the Southwest Florida Water Management District

2008

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The Florida Geological Survey/Florida Department of Environmental Protection is publishing as its Bulletin 68, the Hydrogeologic Framework of the Southwest Florida Water Management District. The report summarizes a multi-year study of the three-dimensional framework of southwestern Florida's hydrogeology, with a focus on the subsurface distribution of aquifer systems and geologic units comprising these systems. As groundwater resources in Florida experience increased stress due to rapid population growth, an understanding of the aquifer systems is invaluable to environmental managers, scientists, planners and the public as decisions are made regarding use, protection and conservation of these vulnerable resources. The FDEP-FGS is pleased to have had the opportunity to partner with the Southwest Florida Water Management District to complete this report.

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Hydrology of Polk County, Florida

Cited by 7 publications

References 53 publications

Wetlandscape hydrologic dynamics driven by shallow groundwater and landscape topography

Wetlandscape hydrologic dynamics driven by shallow groundwater and landscape topography

Allometric Equations to Predict Pinus palustris Biomass in the Southeastern United States

Hydrogeologic framework of the Southwest Florida Water Management District

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