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Bullseye snakehead, Channa marulius, was first detected in 2000 in the southern Florida town of Tamarac and has been expanding its geographic range. Environmental DNA (eDNA) analysis is a newly-developed technique used to non-invasively detect cryptic or low-density species, or those that are logistically difficult to study. Genetic material shed into the environment through tissue and body fluids is concentrated from water samples and analyzed for the presence of target species eDNA. To help delineate bullseye snakehead’s geographic range, we developed and validated a species-specific eDNA assay for both quantitative and droplet digital PCR (ddPCR). We then used ddPCR to assess 16 locations in southeast Florida...
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The dataset contains 3 components: (1) acceleration data logger (ADL) data, (2) GPS location data, and (3) body temperature data. We have ADL data from pythons in captivity (N = 2) and in free-ranging snakes (N=4). We have GPS data for 3 out of 4 free-ranging snakes. We have body temperature data for all 4 free-ranging snakes.
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided that tabulates...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from various...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile contains polygons...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates change factors derived from the Analog Resampling...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates fitted historical precipitation depths derived...
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This shapefile compares the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2005 to their location in 2014.
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Reported here are the metabarcoding read numbers and biomass data assessed from a fish community in a southern Florida pond in Pinecrest Gardens after invasive species eradication and native restocking in 2017 and 2018 in linear regression models. This dataframe contains the number of fish of each species identified, their measured lengths estimated population surface area, and the number of metabarcoding reads (with SD and COV) for each species observed from the sampling date.
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The size and sex of each of the Burmese pythons swabbed in this study for the SFD-causing (snake fungal disease) Ophidiomyces ophiodiicola pathogen is given along with the real time PCR swab result.
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Burmese pythons are an invasive species in the Greater Everglades Ecosystem. Burmese pythons captured in the ecosystem are euthanized, and in an effort to learn about this invasive species, all euthanized pythons are necropsied, during which time samples are collected. We analyzed the stable isotope ratios of carbon and nitrogen in muscle samples from 423 Burmese pythons euthanized and necropsied between 2003-05-01 and 2012-09-02, and after processing and QA/QC, we were left with isotope ratios for 410 samples, which we reported here. We used these data to estimate the size of the isotopic niche of the Burmese python, commonly measured using standard ellipse areas, or SEAs. To put these SEAs in context, we conducted...
Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models...
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Elevation projections from the WARMER-Mangroves model for J N. "Ding" Darling National Wildlife Refuge across a range of sea-level rise scenarios (53, 115, and 183 cm by 2100). The model was calibrated using dated soil cores sampled from the basin hydrologic zone. These data support the following publication: Buffington, K.J., Thorne, K.M., Krauss, K.W., Conrad, J.K., Drexler, J.Z., and Zhu, Z., in-review. Vulnerability of Sanibel Island’s mangrove resources to sea-level rise (Florida, USA).
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The endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis; CSSS) occurs in marl prairie habitat at the southern end of the Everglades, at the southernmost part of the Florida peninsula. The locations of three of its six subpopulations are proximate to the coast, putting them at risk for inundation caused by sea level rise (SLR). The spatially explicit predictive model EverSparrow provides probability of CSSS presence estimates based on hydrology, fire history, and vegetation. We developed two hydrologic scenarios of SLR using projections from the U.S. Army Corps of Engineers (USACE) and University of Florida's GeoPlan Center, using a modeled restoration scenario of the current landscape-scale water...
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This data release includes the data and computer code that we produced to fit two open-robust design removal models developed to simultaneously model population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class integrated population model (IPM) that used prior information for age-structured vital rates and relative juvenile availability. To evaluate the effectiveness of management programs, we applied both models to a multi-year, removal trapping time-series data set of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida collected from 2016-1018....
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The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology and salinity on the landscape. Using the uncertainty built into each network, it also produces surfaces of vulnerability in relation to user-defined ‘ideal’ outcomes. This dataset includes the code used to build the modules and generate outputs of module outcome probabilities and landscape vulnerability.
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from various...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates fitted projected future precipitation depths derived...
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Entire photo-documented sequence from 01 June 2021–09 September 2021, including novel interactions between intraguild predators in southern Florida – the native bobcat (Lynx rufus) and the invasive Burmese python (Python bivittatus). A bobcat depredated an unguarded Burmese python nest and subsequently the python exhibited nest defense behavior following the return of both animals to the nest. First, a bobcat discovers an unguarded nest then proceeds to depredate, cache, and uncover the eggs over several days. The bobcat returns to find the female python back on the nest and later proceeds to swipe at the snake. After biologists attempted to the nest but leave the camera, the bobcat returns to scavenge discarded,...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. An R script (create_boxplot.R) is provided which generates...
map background search result map search result map Greater Everglades Burmese python stable isotope data, 2003-2012, and standard ellipse area literature review, 2018 Comparison of mangrove extent from 2005 and 2014 of Ten Thousand Islands NWR, Florida, USA Burmese python acceleration and location data, Everglades National Park, 2010 – 2012 Bullseye snakehead environmental DNA data, and associated attributes, collected from southeast Florida, from 2015-2018 Data from Burmese pythons swabbed for the presence of SFD-causing Ophidiomyces in southwest Florida EverWaders species distribution model development and output in the Greater Everglades from 2000-2009 Photo-documented sequences from 01 Jun 2021-30 Aug 2021 showing novel interactions between intraguild predators in southern Florida, USA, bobcat and Burmese python R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx) Spreadsheet of change factors at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (CF_JupiterWRF_future_to_historical.xlsx) Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_future.xlsx) Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_future_to_historical_best_models_allRCPs.xlsx). Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP8.5.xlsx). Data for analysis of open removal models with temporary emigration and population dynamics to inform invasive animal management Sea level rise scenarios for the Cape Sable seaside sparrow Fish community assessment using environmental DNA metabarcoding data after an invasive species eradication and native restocking effort in Pinecrest Gardens, FL in 2017-18 Everglades Vulnerability Analysis (EVA) modeling scripts and output Elevation and Mangrove Cover Projections under Sea-Level Rise Scenarios at J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, 2020-2100 Fish community assessment using environmental DNA metabarcoding data after an invasive species eradication and native restocking effort in Pinecrest Gardens, FL in 2017-18 Elevation and Mangrove Cover Projections under Sea-Level Rise Scenarios at J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, 2020-2100 Burmese python acceleration and location data, Everglades National Park, 2010 – 2012 Comparison of mangrove extent from 2005 and 2014 of Ten Thousand Islands NWR, Florida, USA Data for analysis of open removal models with temporary emigration and population dynamics to inform invasive animal management Photo-documented sequences from 01 Jun 2021-30 Aug 2021 showing novel interactions between intraguild predators in southern Florida, USA, bobcat and Burmese python Sea level rise scenarios for the Cape Sable seaside sparrow Everglades Vulnerability Analysis (EVA) modeling scripts and output EverWaders species distribution model development and output in the Greater Everglades from 2000-2009 Bullseye snakehead environmental DNA data, and associated attributes, collected from southeast Florida, from 2015-2018 Greater Everglades Burmese python stable isotope data, 2003-2012, and standard ellipse area literature review, 2018 Data from Burmese pythons swabbed for the presence of SFD-causing Ophidiomyces in southwest Florida R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R) Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx) Spreadsheet of change factors at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (CF_JupiterWRF_future_to_historical.xlsx) Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_future.xlsx) Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_future_to_historical_best_models_allRCPs.xlsx). Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP8.5.xlsx). Shapefile of climate regions for the state of Florida (Climate_regions.shp)