|projects > alligator ecology and monitoring for CERP > work plan
U.S. Geological Survey, Greater Everglades Priority Ecosystems Science (GE PES)
Fiscal Year 2006 Study Work Plan
Study Start Date: 2003 Study End Date: 2006, in 2007 will be companion study to CERP MAP Alligators
Web Sites: sofia.usgs.gov, www.atlss.org
Location (Subregions, Counties, Park or Refuge): Total System
Funding Source: USGS Greater Everglades Priority Ecosystems Science (GE PES)
Other Complementary Funding Source(s): American Alligator Distribution, Size, and Hole Occupancy and American Crocodile Juvenile Growth & Survival USACE MAP; Relative Distribution, Abundance, and Demographic Structure of the American Alligator in Relation to Habitat, Water Level, and Salinity USNPS CESI
Funding History: FY03; FY04; FY05; Proposed FY06
Principal Investigator(s): Kenneth G. Rice, Frank J. Mazzotti, H. Franklin Percival
Project Personnel: Chris Bugbee, Eliza Gilbert, Joe Kern, Justin Davis
Supporting Organizations: University of Florida
Associated / Linked Projects: CERP MAP study: American Alligator Distribution, Size, and Hole Occupancy and American Crocodile Juvenile Growth & Survival, CESI study: Relative Distribution, Abundance, and Demographic Structure of the American Alligator in Relation to Habitat, Water Level, and Salinity.
Overview & Objective(s): Many important questions concerning the effects of Everglades restoration on alligator populations remain unanswered such as the impacts of decompartmentalization, the role of alligator holes as aquatic refugia, and the effects of hydrology on population growth and condition. Further, the methods for monitoring and evaluating restoration success are not clear or have not been adapted for use during CERP. Also, we need to continue to update and validate restoration tools such as population models for use in alternative selection, performance measure development, and prediction. This project will directly address the questions outlined above, develop monitoring methods, and validate restoration tools for use in CERP.
Specific Relevance to Major Unanswered Questions and Information Needs Identified:
Status: We are continuing to provide parameter information to the ATLSS alligator population model. We are adding to our information concerning the impacts of canals on alligator populations with investigations into alligator production. We have established monitoring of alligator population growth, condition, and size distribution throughout the Greater Everglades. We are investigating quantitative and field methods to improve the precision and accuracy of our monitoring through the use of double-observer surveys, artificial surrogates, radio telemetry, and mark recapture. We are currently mapping alligator holes and aquatic refugia within Everglades National Park. The ATLSS Alligator Production Index is now available for use in the restoration process but is also undergoing further calibration, validation, and updating with new data. The ATLSS Alligator Population Model has been completed and has undergone expert review, calibration, and some validation. Both models are fully functional and available for use in comparison of restoration alternatives.
Recent Products: In FY05, 1 USGS fact sheet, 2 peer-reviewed journal articles, 4 major technical reports, and 1 book chapter were published. We also gave several presentations at National and International Meetings and 2 additional manuscripts were submitted to peer-reviewed journals.
Planned Products: We plan on submitting further manuscripts on the Alligator Population Model and our body condition and population trend analyses to peer-reviewed journals. We will present results of our study at national and international meetings during FY06. We will also provide results of model simulations on the web.
Title of Task 1: Relative distribution, abundance, and demographic structure of the American alligator in relation to habitat, water levels, and salinities.
Prior to this study, the only surveys for alligators in Everglades National Park were SRF surveys for nests. The Florida Fish and Wildlife Conservation Commission conducted limited night surveys for alligators in and adjacent to Water Conservation Areas 2 and 3 as part of their public hunt program. Monitoring that only assesses nesting is limited. For example, as restoration occurs in ecosystems such as the rocky glades and the mangrove transition zone it will take more than 10 years for dispersing juveniles to become nesting animals. Evaluating the relative distribution, abundance, and demography of alligators allows for a more rapid assessment of the impacts of CERP projects on target systems.
As important as alligators are in the Everglades ecosystem, surprisingly little is known about them outside of Everglades National Park. In this project alligator monitoring will be continued in A.R.M. Loxahatchee National Wildlife Refuge, Water Conservation Areas 2 and 3, Everglades National Park, and the estuaries of the Gulf of Mexico. The alligator survey network described above is the first system-wide, systematic effort to look at Everglades alligators. Perhaps the most important aspect of the proposed continuation of the alligator survey network is its contribution to evaluating CERP projects.
There are two critical CERP issues that the alligator survey network can provide information required for making policy decisions:
In both cases, baseline data are needed now to provide post restoration feedback to the policy making process. Without the continuation of the alligator survey network there will be insufficient baseline data for making before and after comparisons, and no substantial input into the restoration process.
Work to be undertaken during the proposal year and a description of the methods and procedures:
This study is the USGS contribution to the alligator portion of the Monitoring and Assessment Plan of CERP funded by the ACOE and SFWMD.
During FY06, we will concentrate our work on:
After examining past survey data in Everglades National Park and evaluating the ability to detect change in an alligator population we believe it most effective to concentrate surveys to peak wet season and peak dry season replicate spotlight surveys along with capture surveys of alligators to assess the relative distribution, abundance, and demographic structure of the American alligator. Established survey routes of estuarine rivers and freshwater canals and marshes extending from the mangrove fringe of Everglades National Park north to Arthur R. Marshall National Wildlife Refuge will continue to be performed at night by skiff, canoe, jon boat, airboat, and truck. Night light surveys are a well-established, cost effective method for gathering the required information (Bayliss 1987, Woodward and Moore 1990). Alligator locations will continue to be recorded using GPS and field maps, and sizes of alligators will be estimated whenever possible. Environmental data including habitat type, air and water temperature, salinity, wind and wave action, and spot water levels will be recorded. Regional hydrologic data will be obtained from the SFWMD and the USGS through EDEN.
To determine demographic structure (size class and sex) structure semi-annual capture surveys will be performed using the same vehicles and locations described above. Alligators will be captured by hand, noose, dart, or tongs. Total length, snout-vent length, tail girth, and weight will be measured, and sex determined. In addition the relative condition of alligators will be determined by doing a condition factor analysis (Leslie 1997, also see CESI project Compilation of America Alligator Data Sets in South Florida for Restoration Needs to be completed in FY02 for specific body condition methods).
Since we now have 5 years of data for several areas, trend analyses of body condition and alligator counts will be performed. We will investigate the exact relationship between hydrologic variables and these trends.
Specific Task Product(s): [List and include expected delivery date(s).] This study will develop an index of relative abundance and condition of alligators in different habitats in relation to water levels and salinities. The results will be reported in technical reports, fact sheets, scientific and public presentations and peer reviewed publications. The survey routes and data summaries are available via website. The data from this study will be used to update and validate population models (e.g. ATLSS) and can be used for the development and validation of other assessment tools (i.e. HSI models). In addition, the data will be available for use in the adaptive assessment process and for inclusion in the annual report card.
Title of Task 2: Population-Based Simulation Modeling of American Alligator Populations in Support of CERP
Work to be undertaken during the proposal year and a description of the methods and procedures:
During FY06, we will:
The ATLSS (Across Trophic Level System Simulation) project is a long-term, large-scale predictive model of the effects of planned restoration activities in the Florida Everglades on animal and plant species living there. For the last 3 years, we have been writing and implementing a module for ATLSS that simulates alligator populations in the Everglades. We have used this model and data from the South Florida Water Management District, the Florida GAP project, and ATLSS to describe the likely population densities that would occur across the Everglades landscape under various scenarios.
At this time, we have performed simulations using all of the available data sets (calibration 1979-95, 1995 and 2050 base 1965-95, and the restoration scenario D13-R 1965-95). We have also devised a validation regimen that will allow us to check the accuracy of the predicted output from the calibration data set by comparing nighttime spotlighting surveys along geo-referenced trails with a virtual survey performed along the same paths through the simulation output. Tests indicate that the model has a close fit to actual survey counts.
The calibration data have only been provided in the format required for our models through 1995, which is approximately the same time that comprehensive spotlight surveys were started, so we have a very limited overlap from which to draw validation data. In the near future, these data should be released through 2002, at which time we will be able to run a more comprehensive set of comparisons. In addition, new project scenarios have been proposed, and when the water management simulation data is released, there will be a need for alligator population responses to those projects.
The core model component is a 3-D matrix that records the density of each stage of alligator in each 500x500m spatial location (500m pixel size based on the mean adult female home range size). This structure is manipulated in its entirety with 3-D matrix operations, and interacts with survival and condition 3-D matrices, each in turn calculated for each time step based on water level, crowding, etc. Alligators can survive and grow to the next stage of development (SD), survive but not grow (SND), or die. The proportion of each stage that falls into the three categories depends on water levels and alligator condition throughout the year, and the density of adult alligators at each spatial location:
Juveniles(x,y)= fSD (Hatchlings, Adults, Water, Condition)(x,y)+gSND (Juveniles, Adults, Water, Condition)(x,y)
Subadults(x,y)= fSD (Juveniles, Adults, Water, Condition)(x,y)+gSND (Subadults, Adults, Water, Condition)(x,y)
Adults(x,y)= fSD (Subadults, Adults, Water, Condition)(x,y)+gSND (Adults, Water, Condition)(x,y)
Adult female alligators produce offspring at each spatial location, depending on water levels during the nesting period, habitat type, and the age and condition of the female over the previous season. The nesting potential of each cell is predicted by the ATLSS American Alligator Production Index which incorporates local habitat data and hydrological dynamics to predict the probability of producing nests and offspring successfully in each cell, if a healthy female is present.
Eggs(x,y)=f (Adults, Water, Habitat, Condition)(x,y)
To disperse alligators, we use a discrete spatial convolution method. This is similar to a blur filter used by many image-processing computer programs, and is a process that takes the contents of a cell and redistributes it according to a dispersal kernel (below). The dispersal kernels are sized according to average dispersal distance of each alligator stage. For normal dispersal, the height of the discrete kernel, k[x,y] at each location (x, y) relative to the cell where it is applied is:
Where, s is the standard deviation of the kernel. The subadult stage is most mobile, while adults and hatchlings are more sedentary.
Output of the model is a 3-D alligator density matrix, with space (x and y) along two axes, and the stage classes along the third axis. Also included are a running average of the historical health and survival rates of each stage in each cell. This construct is easily summed for total alligator population, or subsampled to check for corroboration with field data. Instantaneous densities and local rates-of-change can be calculated from this model.
Specific Task Product(s): [List and include expected delivery date(s).]: All model results and code are provided to the ATLSS website(s) and data viewer as needed. Interpretation of results also will be provided. Additional manuscripts will be submitted to peer-reviewed journals on model structure and performance.
Work to be undertaken during future FY's and proposed funding:
This project will become linked as a companion project to CERP MAP Alligators in FY07 and will assume level funding to FY06 ($125k/year). Primary objectives of the MAP project include development and implementation of a monitoring program for alligator populations in the Everglades that will assess distribution, population size, and body condition during restoration. The GE PES project will fund USGS participation in MAP including proportional salaries of Rice and Slone, USGS vehicles, and associated travel and supplies. Further, GE PES will fund development, updating, and scenario evaluations of the ATLSS alligator models.
U.S. Department of the Interior, U.S. Geological Survey
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Last updated: 04 September, 2013 @ 02:09 PM(TJE)