Environmental Management

, Volume 59, Issue 1, pp 129–140 | Cite as

Accounting for the Impact of Management Scenarios on Typha Domingensis (Cattail) in an Everglades Wetland

  • Gareth Lagerwall
  • Gregory Kiker
  • Rafael Muñoz-Carpena
  • Naiming Wang
Article
  • 178 Downloads

Abstract

The coupled regional simulation model, and the transport and reaction simulation engine were recently adapted to simulate ecology, specifically Typha domingensis (Cattail) dynamics in the Everglades. While Cattail is a native Everglades species, it has become invasive over the years due to an altered habitat over the last few decades, taking over historically Cladium jamaicense (Sawgrass) areas. Two models of different levels of algorithmic complexity were developed in previous studies, and are used here to determine the impact of various management decisions on the average Cattail density within Water Conservation Area 2A in the Everglades. A Global Uncertainty and Sensitivity Analysis was conducted to test the importance of these management scenarios, as well as the effectiveness of using zonal statistics. Management scenarios included high, medium and low initial water depths, soil phosphorus concentrations, initial Cattail and Sawgrass densities, as well as annually alternating water depths and soil phosphorus concentrations, and a steadily decreasing soil phosphorus concentration. Analysis suggests that zonal statistics are good indicators of regional trends, and that high soil phosphorus concentration is a pre-requisite for expansive Cattail growth. It is a complex task to manage Cattail expansion in this region, requiring the close management and monitoring of water depth and soil phosphorus concentration, and possibly other factors not considered in the model complexities. However, this modeling framework with user-definable complexities and management scenarios, can be considered a useful tool in analyzing many more alternatives, which could be used to aid management decisions in the future.

Keywords

Typha domingensis (Cattail) Regional simulation model Transport and reaction simulation engine Management scenarios Trend analysis Global uncertainty and sensitivity analysis 

Abbreviations

RSM

Regional Simulation Model

RTE

coupled RSM TARSE model applied towards Ecology

TARSE

Transport and Reaction Simulation Engine

SFWMD

South Florida Water Management District

SFWMM

South Florida Water Management Model

WCA2A

Water Conservation Area 2A

HSE

Hydrologic Simulation Engine

GUSA

Global Uncertainty and Sensitivity Analysis

CERP

Comprehensive Everglades Restoration Plan

USACE

United States Army Corps of Engineers

SIS

Sequential Indicator Simulation

DM

Delta Mean

CATGF

Cattail Growth Factor

SAWGF

Sawgrass Growth Factor

DepthMgmt

Depth Management scenario

PMgmt

Phosphorus Management scenario

Supplementary material

267_2016_769_MOESM1_ESM.pdf (983 kb)
Supplementary Information

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Gareth Lagerwall
    • 1
  • Gregory Kiker
    • 2
    • 3
  • Rafael Muñoz-Carpena
    • 4
  • Naiming Wang
    • 5
  1. 1.Room 202, Rabie Saunders BuildingUniversity of Kwa-Zulu NatalPietermaritzburgSouth Africa
  2. 2.Frazier Rogers HallUniversity of FloridaGainesvilleUSA
  3. 3.Honorary Associate Professor, School of Mathematics, Statistics and Computer ScienceUniversity of KwaZulu-NatalDurbanSouth Africa
  4. 4.Frazier Rogers HallUniversity of FloridaGainesvilleUSA
  5. 5.Hydrologic and Environmental Systems ModelingSouth Florida Water Management DistrictWest Palm BeachUSA

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