USGS
South Florida Information Access
SOFIA home
Help
Projects
by Title
by Investigator
by Region
by Topic
by Program
Results
Publications
Meetings
South Florida Restoration Science Forum
Synthesis
Information
Personnel
About SOFIA
USGS Science Strategy
DOI Science Plan
Education
Upcoming Events
Data
Data Exchange
Metadata
publications > poster > a new aerial survey method to monitor the response of manatees to restoration of the florida everglades

A New Aerial Survey Method to Monitor the Response of Manatees to Restoration of the Florida Everglades

photograph of a manatee Catherine A. Langtimm1, Terry J. Doyle2, Bradley M. Stith1, and Howard I. Kochman1

1U. S. Geological Survey, Florida Integrated Science Center, Sirenia Project, Gainesville, FL, USA
2U.S. Fish and Wildlife Service, Ten Thousand Islands National Wildlife Refuge, Naples, FL, USA

Email contact: Cathy_Langtimm@usgs.gov

Presented at the First National Conference on Ecosystem Restoration (NCER), December 6-10, 2004, Orlando, Florida

The Question

How will manatee habitat use in the Ten Thousand Islands region of SW Florida change with the Everglades restoration?

Raw data from aerial surveys suggest freshwater sources and seagrass forage are important manatee resources that should be affected by the restoration.

Aerial Surveys
image showing flight paths of aerial surveys
[larger image]
  • Eight survey flights on fixed, strip transects are flown in summer following protocols by Miller et al. (1998). Two observers in the plane independently record the location, activity and number of manatees observed in each group.
  • Distribution surveys are flown monthly following an irregular predefined path across the mainland waterways, the mangrove islands, and offshore bays.
  • Four habitat types are delineated for both survey types: Freshwater canals and creeks, Inshore Bay, Travel corridors among the mangrove islands, and Offshore bays.

Transect Results
2001 and 2002 graph of number of manatee groups versus transect
[larger image]
  • Summer data from strip transect surveys showed manatees generally were dispersed across the transects in small groups. Some transects were high use areas, while others were low use.
  • The majority of summer sightings on the transects were in Offshore bays in or near seagrass beds (66.2% in 2001 and 76.2% in 2002).
  • Manatee activities recorded during a sighting were comparable between years. The greatest number of sightings was of animals feeding (46.4% in 2001 and 51.0% in 2002).

Distribution Survey Results
graph from aerial distributional survey
[larger image]
The number of manatees counted in the Ten Thousand Islands area varies seasonally with the fewest in the fall and higher numbers in winter and summer.

In winter, higher numbers are observed at warmer Freshwater sites inland. In spring and summer higher numbers are observed Offshore, as observed on the strip transect surveys.

Radio-telemetry studies of individual manatees (see poster 2-100 and 2-101) show similar patterns and provide greater insight and detail on seasonal use of habitats.


The Problems

A valid statistical approach is needed to assess spatial changes in manatee habitat use with changes in manatee resources.

Analyses may be biased because not all manatees in the study area are sighted during a survey. Aerial survey counts under represent the population.

Double Observers
Analysis of the double observer data from the strip transect surveys showed manatees at the surface can be missed by an observer (i.e. perception bias). Detection varied with group size, but not with other factors proposed to affect sightability.
Group size Probability of initial sighting
(95% Confidence Interval)
Probability of resighting1
(95% Confidence Interval)
1 0.657
(0.580-0.727)
0.732
(0.655-0.797)
2 0.746
(0.680-0.803)
0.780
(0.718-0.831)
3 0.818
(0.721-0.887)
0.821
(0.735-0.884)
4 0.873
(0.747-0.941)
0.857
(0.737-0.927)
5 0.914
(0.770-0.971)
0.886
(0.735-0.956)
1resighting by second observer given seen by first observer
  • Huggins Closed Capture model (Huggins 1991) in Program MARK (White and Burnham 1999) was used to model and estimate detection rates. Sources of variation modeled included: group size, habitat type, manatee activity, date of survey, year, and survey conditions.
  • The mean probability of initially sighting a manatee group was 0.715 (95% CI 0.655-0.768). Mean probability of resighting by the second observer was 0.769 (0.709-819).
  • The best model was one with variation due to group size with no variation among surveys or years. Detection increased with increasing group size.

Reflights
Reflights of the strip transects showed some manatees were hidden below the surface of the water (i.e. availability bias).
photograph of manatee in a sediment plume
[larger image]
  • Sediment plumes were routinely seen muddying shallow water on the strip transect surveys, suggesting a large animal had disturbed the bottom.
  • In 2002, 5 transects during each survey were randomly chosen for an immediate reflight to identify the cause of any disturbance plumes and to locate any additional manatees not seen on the first flight.
  • Of 23 observations of a plume, 14 (61%) were manatees, 6 (26%) were caused by tide action, 2 (9%) were schools of fish, and 1 (4%) was a dolphin.
  • Additionally, 15 manatee groups not seen on the first flight were observed during the immediate reflight.


A New Statistical Approach

A new class of capture-recapture models estimates habitat patch occupancy rates when detection is imperfect. Occupancy rate is modeled in association with patch traits that influence habitat use. Estimates of change in occupancy rate with habitat traits can provide a statistically valid means to monitor restoration. This approach is applicable to many types of surveys to monitor species' distributions.

Major Features
  • Developed by J. D. Nichols and colleagues at the USGS Patuxent Wildlife Research Center (MacKenzie et al. 2002; 2003).
  • Based on presence/absence of a species on study plots randomly or systematically distributed across the landscape. It does not require counts of individuals on a plot.
  • Designed to estimate occupancy rate in the presence of imperfect detection probabilities, which may vary both spatially and temporally. Data from multiple surveys are used to directly estimate detection rates.
  • Provides a flexible, robust modeling framework that incorporates covariates. Habitat traits specific to each plot can be used as covariates to model hypotheses about variation in occupancy and detection rate.
  • Uses latest model comparison approach to select from the competing models those models that best describe the variation in occupancy and detection rate.
  • Developed to estimate occupancy rate within a season or year (MacKenzie et al. 2002) and to estimate rate of change in occupancy over long-term studies (MacKenzie et al. 2003).
  • Incorporated into Program MARK (White and Burnham 1999), the primary computer program used today for capture-recapture analysis.

Application to Manatee Aerial Surveys
photograph of plane flying over water
[larger image]
  • The strip transects and distribution survey routes are segmented into habitat patches. We are exploring different patch sizes to determine an appropriate scale for analysis and monitoring.
  • A priori models have been identified to test for effects on occupancy rate and include habitat type, water depth, proximity of patch to foraging beds, proximity to freshwater sources, and season of the year.
  • Models to test for effects on detection rate include survey conditions, season, and habitat type.
  • Correlation of aerial survey data with telemetry core use data will be examined with a model that uses the number of telemetry locations of tagged animals as a patch covariate.


Literature Cited

Huggins, R. M. 1991. Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics 47:725-732.

MacKenzie, D. I., J. D. Nichols, G. B. Lachman, S. Droege, J. A. Royle, and C. A. Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248-2255.

MacKenzie, D. I., J. D. Nichols, J. E. Hines, M. G. Knutson, and A. B. Franklin. 2003. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology 84:2200-2207.

Miller, K.E., B.B. Ackerman, L.W. Lefebvre, and K.B. Clifton. 1998. An evaluation of strip-transect aerial survey methods for monitoring manatee populations in Florida. Wildlife Society Bulletin 26(3):561-570.

White, G. C., and K. P. Burnham. 1999. Program MARK: Survival estimation from populations of marked animals. Bird Study 46 Supplement:120-138.

United States Geological Survey logo United States Fish and Wildlife Service logo


Related information:

SOFIA Project: Predicting Effects of Hydrologic Restoration on Manatees along the Southwest Coast of Florida



| Disclaimer | Privacy Statement | Accessibility |

U.S. Department of the Interior, U.S. Geological Survey
This page is: http://sofia.usgs.gov/publications/posters/aerial_manatee/index.html
Comments and suggestions? Contact: Heather Henkel - Webmaster
Last updated: 30 June, 2005 @ 09:16 AM (KP)