Use of Hydrologic and Hydrodynamic Modeling for Ecosystem Restoration

Obeysekera, Jayantha; Kuebler, Laura; Ahmed, Sakir; Chang, Miao-LI; Engel, V.; Langevin, Christian D.; Swain, Eric D.; Wan, Yongshan

doi:10.1080/10643389.2010.531226

Cited by 15 publications

(10 citation statements)

References 27 publications

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“…For example with the restoration of the Florida Everglades, simulation experiments implemented in large-scale hydrodynamic models are providing resource managers with multiple scenarios of changing hydrology conditions under various restoration options (Obeysekera et al. 2011) and climate change and SLR scenarios (Swain et al. 2014).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

Zajac

Stith

Bowling

et al. 2015

Ecology and Evolution

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Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA). We illustrate the GSA/UA framework using simulated hydrology input data from a hydrodynamic model representing sea level changes and HSI models for two species of submerged aquatic vegetation (SAV) in southwest Everglades National Park: Vallisneria americana (tape grass) and Halodule wrightii (shoal grass). We found considerable spatial variation in uncertainty for both species, but distributions of HSI scores still allowed discrimination of sites with good versus poor conditions. Ranking of input parameter sensitivities also varied spatially for both species, with high habitat quality sites showing higher sensitivity to different parameters than low-quality sites. HSI models may be especially useful when species distribution data are unavailable, providing means of exploiting widely available environmental datasets to model past, current, and future habitat conditions. The GSA/UA approach provides a general method for better understanding HSI model dynamics, the spatial and temporal variation in uncertainties, and the parameters that contribute most to model uncertainty. Including an uncertainty and sensitivity analysis in modeling efforts as part of the decision-making framework will result in better-informed, more robust decisions.

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Section: Discussionmentioning

confidence: 99%

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

Zajac

Stith

Bowling

et al. 2015

Ecology and Evolution

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“…Major land use types common in the region include upland forest, wetlands, rangeland, pasture, citrus (including row crop and sugarcane), light urban (mainly low density residential), and heavy urban (medium and high density residential, commercial and industrial lands, and transportation). The hydrological behavior of these land use types was established as a priori knowledge based on extensive monitoring data and field observation (Knisel et al, 1978;Capece et al, 1987;Campbell et al, 1995;Pathak, 2008;Duever and Roberts, 2013), and land use specific hydrological modeling (Abtew and Obeyesekera, 1996;SFWMD, 2005a;Wan et al, 2006;Obeysekera et al, 2011). For example, with an average annual rainfall of 1400 mm/y, about 300 mm/y of runoff is expected from upland forest where the water table seldom exceeds the land surface.…”

Section: Regionalization Of Land Use Specific Parametersmentioning

confidence: 99%

“…Hydrological modeling of the south Florida system has been conventionally conducted with physically based, integrated surface water and groundwater hydrological models implemented at the regional scale (SFWMD, 2005a,b;Obeysekera et al, 2011). Attempts made to apply existing lumped models such as HSPF recognize the need for substantial code modification to suit the unique hydrological setting in south Florida (Wan et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…1). The system is highly engineered and managed with about 7700 km of major canals, 1350 major water control structures, and 70 pumping stations (Obeysekera et al, 2011). The humid, subtropical setting in south Florida features distinct wet (May-October) and dry (NovemberApril) seasons with average annual rainfall of about 1290 mm/y, close to average annual potential evapotranspiration (based on the Penman-Monteith formulation of Allen et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

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A simple hydrologic model for rapid prediction of runoff from ungauged coastal catchments

Wan

Konyha

2015

Journal of Hydrology

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“…The initial period of simulation was 1996 to 2002 but was later expanded to 1996 to 2004, incorporating a larger variety of annual hydrologic conditions (Swain and Lohmann, US Geological Survey, March 2014, written communication). Applications of FTLOADDS have been utilized to develop surface-water discharges for salinity targets , examine the effects of ecosystem restoration (Swain et al 2008, Obeysekera et al 2011, provide salinity and temperature estimates for manatee habitats (Stith et al 2011), determine causes of hypersalinity in Biscayne Bay (Lohmann et al 2012), represent the effects of hydrological restoration scenarios on American crocodiles (Green et al 2014), and forecast the impact of future precipitation changes and sea level rise in coastal areas (Swain, Stefanova, and Smith, 2014). TIME/BISCAYNE covers an area with a maximum extent of 93 km north-south and 129.5 km east-west.…”

Section: Introductionmentioning

confidence: 99%

Numerical computation of hurricane effects on historic coastal hydrology in Southern Florida

2015

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Introduction: Numerical models are critical for assessing the effects of sea level rise (SLR), hurricanes, and storm surge on vegetation change in the Everglades National Park. The model must be capable of representing short-timescale hydrodynamics, salinity transport, and groundwater interaction. However, there is also a strong need to adapt these numerical models to hindcast past conditions in order to examine long-term effects on the distribution of vegetation that cannot be determined using only the modern record.

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Use of Hydrologic and Hydrodynamic Modeling for Ecosystem Restoration

Cited by 15 publications

References 27 publications

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

A simple hydrologic model for rapid prediction of runoff from ungauged coastal catchments

Numerical computation of hurricane effects on historic coastal hydrology in Southern Florida

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