Dataset title: Seasonal Electrofishing Data from Rookery Branch and Tarpon Bay, Everglades National Park (FCE LTER), Florida, USA, November 2004 - ongoing Dataset ID: LT_TDCS_Rehage_001 Research type: Long-Term Dataset Creator Name: Dr. Jennifer Rehage Address: Florida International University University Park ECS 119 Miami, FL 33199 USA Phone: 305-348-0181 Email: rehagej@fiu.edu Metadata Provider Organization: Florida Coastal Everglades LTER Program Address: Florida International University University Park OE 148 Miami, FL 33199 USA Phone: 305-348-6054 Email: fcelter@fiu.edu URL: http://fcelter.fiu.edu Dataset Abstract This study examines temporal and spatial dynamics in the fish community of the oligohaline to mesohaline reaches of ecotonal creeks along the southwest region of Everglades National Park. Collections of fish in SW ENP during 2004 - 2014 across Rookery Branch and Tarpon Bay. Sampling started in the wet season of 2004, and has been conducted three times per year at these approximate times: November (wet season); February (transition); and April (dry season). Electrofishing samples were processed in the field, and all species (except for non-natives) were returned live at the point of collection. In the Rookery Branch region, fish abundance varies markedly yearly and seasonally. Catches peak in the drier months, reflecting a pulse of movement by freshwater taxa into creeks as marshes upstream dry. The timing of this pulse is closely tied to the pattern of water recession in upstream marshes, and has important ramifications for wading bird prey availability. Geographic Coverage Study Extent Description The Study Extent of this dataset includes areas near FCE Shark River Slough research sites (downstream of SRS 3 and upstream of SRS 4) from Rookery Branch within Everglades National Park, South Florida Bounding Coordinates Geographic description: Rookery Branch 7 West bounding coordinate: -80.897 East bounding coordinate: -80.897 North bounding coordinate: 25.429 South bounding coordinate: 25.429 Geographic description: Rookery Branch 8 West bounding coordinate: -80.872 East bounding coordinate: -80.872 North bounding coordinate: 25.455 South bounding coordinate: 25.455 Geographic description: Rookery Branch 9 West bounding coordinate: -80.862 East bounding coordinate: -80.862 North bounding coordinate: 25.460 South bounding coordinate: 25.460 Geographic description: Rookery Branch 10 West bounding coordinate: -80.865 East bounding coordinate: -80.865 North bounding coordinate: 25.464 South bounding coordinate: 25.464 Geographic description: Rookery Branch 11 West bounding coordinate: -80.876 East bounding coordinate: -80.876 North bounding coordinate: 25.464 South bounding coordinate: 25.464 Geographic description: Rookery Branch 12 West bounding coordinate: -80.916 East bounding coordinate: -80.916 North bounding coordinate: 25.459 South bounding coordinate: 25.459 Geographic description: Rookery Branch 13 West bounding coordinate: -80.89 East bounding coordinate: -80.89 North bounding coordinate: 25.45 South bounding coordinate: 25.45 Geographic description: Rookery Branch 14 West bounding coordinate: -80.92 East bounding coordinate: -80.92 North bounding coordinate: 25.43 South bounding coordinate: 25.43 Geographic description: Rookery Branch 15 West bounding coordinate: -80.95 East bounding coordinate: -80.95 North bounding coordinate: 25.42 South bounding coordinate: 25.42 Geographic description: Rookery Branch 16 West bounding coordinate: -80.94 East bounding coordinate: -80.94 North bounding coordinate: 25.45 South bounding coordinate: 25.45 Geographic description: TB1 West bounding coordinate: -80.97 East bounding coordinate: -80.97 North bounding coordinate: 25.41 South bounding coordinate: 25.41 Geographic description: TB2 West bounding coordinate: -80.97 East bounding coordinate: -80.97 North bounding coordinate: 25.41 South bounding coordinate: 25.41 Geographic description: TB3 West bounding coordinate: -80.98 East bounding coordinate: -80.98 North bounding coordinate: 25.43 South bounding coordinate: 25.43 Geographic description: TB4 West bounding coordinate: -80.97 East bounding coordinate: -80.97 North bounding coordinate: 25.43 South bounding coordinate: 25.43 FCE LTER Sites: SRS 3 and SRS 4 Temporal Coverage Start Date: 2004-11-01 End Date: 2019-04-30 Data Table Entity Name: LT_TDCS_Rehage_001.csv Entity Description: Seasonal Electrofishing Data from Rookery Branch and Tarpon Bay, Everglades National Park (FCE) Object Name: LT_TDCS_Rehage_001.csv Data Format Number of Header Lines: 1 Attribute Orientation: column Field Delimiter: , Number of Records: Attributes Attribute Name: ID Attribute Label: Sampling ID Attribute Definition: Sampling ID Storage Type: nominal Measurement Scale: Sampling ID Missing Value Code: Attribute Name: Year Attribute Label: Year Attribute Definition: long term sampling year Storage Type: ordinal Measurement Scale: long term sampling year Missing Value Code: Attribute Name: DATE Attribute Label: date Attribute Definition: Collection Date Storage Type: datetime Measurement Scale: Missing Value Code: Attribute Name: SEASON Attribute Label: season Attribute Definition: Everglades Season Storage Type: text Measurement Scale: WET= wet season DRY = dry season TRANS = Transitional season Missing Value Code: -9999 (Value was not recorded) Attribute Name: River Attribute Label: drainage site Attribute Definition: drainage site Storage Type: text Measurement Scale: drainage site Missing Value Code: Attribute Name: Creek Attribute Label: drainage creek Attribute Definition: drainage creek Storage Type: code Measurement Scale: drainage creek Missing Value Code: Attribute Name: SITETYPE Attribute Label: site type Attribute Definition: type of sampling site Storage Type: text Measurement Scale: type of sampling site Missing Value Code: Attribute Name: BOUT Attribute Label: bout number Attribute Definition: Electrofishing bout Storage Type: code Measurement Scale: Electrofishing bout Missing Value Code: -9999 (Value was not recorded) Attribute Name: FUNCON4 Attribute Label: species count Attribute Definition: number of species 4 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: FUNCHR8 Attribute Label: species count Attribute Definition: number of species 8 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: NOTCRY9 Attribute Label: species count Attribute Definition: number of species 9 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ESONIG14 Attribute Label: species count Attribute Definition: number of species 14 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPPLA17 Attribute Label: species count Attribute Definition: number of species 17 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ESOAME18 Attribute Label: species count Attribute Definition: number of species 18 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPSPP19 Attribute Label: species count Attribute Definition: number of species 19 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: MCSAL20 Attribute Label: species count Attribute Definition: number of species 20 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ERISUC33 Attribute Label: species count Attribute Definition: number of species 33 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: FUNSEM34 Attribute Label: species count Attribute Definition: number of species 34 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: EURGUL35 Attribute Label: species count Attribute Definition: number of species 35 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: TRIMAC36 Attribute Label: species count Attribute Definition: number of species 36 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: NOTGYR37 Attribute Label: species count Attribute Definition: number of species 37 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPGUL38 Attribute Label: species count Attribute Definition: number of species 38 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPMAC39 Attribute Label: species count Attribute Definition: number of species 39 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPMIC40 Attribute Label: species count Attribute Definition: number of species 40 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPPUN41 Attribute Label: species count Attribute Definition: number of species 41 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LEPMAR42 Attribute Label: species count Attribute Definition: number of species 42 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ENNGLO47 Attribute Label: species count Attribute Definition: number of species 47 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CENUND50 Attribute Label: species count Attribute Definition: number of species 50 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: MEGATL51 Attribute Label: species count Attribute Definition: number of species 51 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ANGROS54 Attribute Label: species count Attribute Definition: number of species 54 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: AMICAL55 Attribute Label: species count Attribute Definition: number of species 55 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ANCMIT57 Attribute Label: species count Attribute Definition: number of species 57 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CLABAT60 Attribute Label: species count Attribute Definition: number of species 60 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: MICGUL67 Attribute Label: species count Attribute Definition: number of species 67 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ARIFEL69 Attribute Label: species count Attribute Definition: number of species 69 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LOPCYP71 Attribute Label: species count Attribute Definition: number of species 71 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LUTGRI74 Attribute Label: species count Attribute Definition: number of species 74 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: FUNGRA75 Attribute Label: species count Attribute Definition: number of species 75 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: BAGMAR76 Attribute Label: species count Attribute Definition: number of species 76 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: TILMAR77 Attribute Label: species count Attribute Definition: number of species 77 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: OREAUR78 Attribute Label: species count Attribute Definition: number of species 78 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: STRSPP80 Attribute Label: species count Attribute Definition: number of species 80 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: LAGHOM81 Attribute Label: species count Attribute Definition: number of species 81 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CICURO84 Attribute Label: species count Attribute Definition: number of species 84 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: BELBEL86 Attribute Label: species count Attribute Definition: number of species 86 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: HEMLET88 Attribute Label: species count Attribute Definition: number of species 88 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CARLEU91 Attribute Label: species count Attribute Definition: number of species 91 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ARCPRO92 Attribute Label: species count Attribute Definition: number of species 92 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: SCIOCE94 Attribute Label: species count Attribute Definition: number of species 94 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: PTEMUL99 Attribute Label: species count Attribute Definition: number of species 99 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: MACSIA100 Attribute Label: species count Attribute Definition: number of species 100 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: EUGPLU101 Attribute Label: species count Attribute Definition: number of species 101 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: KLEMAR102 Attribute Label: species count Attribute Definition: number of species 102 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: EUCHAR103 Attribute Label: species count Attribute Definition: number of species 103 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CYNNEB104 Attribute Label: species count Attribute Definition: number of species 104 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CARHIP105 Attribute Label: species count Attribute Definition: number of species 105 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: GOBROB106 Attribute Label: species count Attribute Definition: number of species 106 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: MUGCEP107 Attribute Label: species count Attribute Definition: number of species 107 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CALSAP109 Attribute Label: species count Attribute Definition: number of species 109 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CICSPP110 Attribute Label: species count Attribute Definition: number of species 110 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: EUCSPP115 Attribute Label: species count Attribute Definition: number of species 115 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: ELOPSAU117 Attribute Label: species count Attribute Definition: number of species 117 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: GOBSPP121 Attribute Label: species count Attribute Definition: number of species 121 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: UNIDEEL200 Attribute Label: species count Attribute Definition: number of species 200 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: UNIDFISH23 Attribute Label: species count Attribute Definition: number of species 23 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: CPUE Attribute Label: Total Catch Attribute Definition: total number of fish caught per sample Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: integer Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: Distance Attribute Label: Distance Attribute Definition: Total distance shoreline coverd in sample Storage Type: data Measurement Scale: Units: meter Precision: 1 Number Type: integer Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: CPUE100M Attribute Label: catch per unit effort Attribute Definition: Catch Per Unit Effort Storage Type: data Measurement Scale: Units: catchPerUnitEffort Precision: 1 Number Type: real Missing Value Code: -9999 (Value was not recorded) Attribute Name: DEPTH_Creek Attribute Label: depth Attribute Definition: Depth to Creek bottom Storage Type: data Measurement Scale: Units: meter Precision: 0.01 Number Type: real Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: TEMP Attribute Label: temperature Attribute Definition: Temperature Storage Type: data Measurement Scale: Units: celsius Precision: 0.1 Number Type: real Missing Value Code: -9999.0 (Value was not recorded) Attribute Name: DO Attribute Label: dissolved oxygen Attribute Definition: Dissolved oxygen Storage Type: data Measurement Scale: Units: milligramsPerLiter Precision: 0.01 Number Type: real Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: Salinity Attribute Label: salinity Attribute Definition: Salinity Storage Type: data Measurement Scale: Units: partsPerThousand Precision: 0.1 Number Type: real Missing Value Code: -9999.0 (Value was not recorded) Attribute Name: SH1DSLD Attribute Label: Days since last dry Attribute Definition: Number of days since marshes >0 Storage Type: data Measurement Scale: Units: number Precision: 1 Number Type: real Missing Value Code: 9999 (Value was not recorded) Attribute Name: SH1AVE15D Attribute Label: 15 day Avg Marsh depth Attribute Definition: 15 day Avg Marsh depth Storage Type: data Measurement Scale: Units: centimeter Precision: 0.01 Number Type: real Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: UPDISTANCE Attribute Label: Site distance from marsh Attribute Definition: Site distance from marsh Storage Type: data Measurement Scale: Units: kilometer Precision: 0.01 Number Type: real Missing Value Code: -9999.00 (Value was not recorded) Attribute Name: MEANDIST Attribute Label: Site distance from marsh Attribute Definition: Site distance from marsh Storage Type: data Measurement Scale: Units: kilometer Precision: 0.01 Number Type: real Missing Value Code: -9999.00 (Value was not recorded) Methods Sampling Description Sampling is conducted at 15 mangrove creeks in two drainages: Rookery Branch and the North, Roberts, and Watson rivers. Electrofishing is used to target large-bodied predatory species. At each creek, we systematically sample, three 100 meter long sections of creek bank by electrofishing (0-100m, 200-300m, and 400-500m). Each electrofishing bout lasts five minutes (pedal time). Electrofishing is an effective method for sampling large fishes in freshwater habitats, and eletrofishing catch per unit effort (CPUE) provides a reliable index of fish abundance. For all bouts, electrofishing power is standardized to 1500 watts according to the ambient temperature and conductivity conditions. Because creek width is considerably greater than the electric field generated by the electrofisher, a left or right bank was randomly selected for each bout. Folling USGS-NAWQA guidelines, all electrofishing is conducted using intermittent application of electrical current to prevent fish from fleeing deep beneath the mangroves. All fish captured are placed in a holding tank, identified, measured (to the nearest 1-mm standard or total length), weighed (if necessary), and released after full recovery. Only non-indigenous species are saved and preserved in 10 percent formalin to be returned to the laboratory for processing. During each sampling event, we use a YSI 85 unit to record physico-chemical parameters (water temperature, specific conductance/salinity, and dissolved oxygen) at the beginning of each electrofishing bout. Water clarity and bottom type are measured with a measuring stick and turbidity with an electronic turbidity meter. Method Step Description Fish were collected via electrofishing methods, Citation Boucek, Ross E 2013-10-01. No free lunch: displaced marsh consumers regulate a prey subsidy to an estuarine consumer.. Oikos, 122(10): 1453-1464. Protocol Protocol Title: Electrofishing Protocol Creator(s) Name: Dr. Jennifer Rehage Publication Date: 2004-01-01 Abstract Sampling is conducted at 15 mangrove creeks in two drainages: Rookery Branch and the North, Roberts, and Watson rivers. Electrofishing is used to target large-bodied predatory species. At each creek, we systematically sample, three 100 meter long sections of creek bank by electrofishing (0-100m, 200-300m, and 400-500m). Each electrofishing bout lasts five minutes (pedal time). Electrofishing is an effective method for sampling large fishes in freshwater habitats, and eletrofishing catch per unit effort (CPUE) provides a reliable index of fish abundance. For all bouts, electrofishing power is standardized to 1500 watts according to the ambient temperature and conductivity conditions. Because creek width is considerably greater than the electric field generated by the electrofisher, a left or right bank was randomly selected for each bout. Folling USGS-NAWQA guidelines, all electrofishing is conducted using intermittent application of electrical current to prevent fish from fleeing deep beneath the mangroves. All fish captured are placed in a holding tank, identified, measured (to the nearest 1-mm standard or total length), weighed (if necessary), and released after full recovery. We measure mass of those species for wich we do not have reliable length-mass regression equations with which to estimate mass-this procedure results in less handling of fishes and reduces stress on the specimens. Only non-indigenous species are saved and preserved in 10 percent formalin to be returned to the laboratory for processing. Although electrofishing typically targets large fish species, we routinely capture specimens as small as 5-cm standard length (SL). During each sampling event, we use a YSI 85 unit to record physico-chemical parameters (water temperature, specific conductance/salinity, and dissolved oxygen) at the beginning of each electrofishing bout. Water clarity and bottom type are measured with a measuring stick and turbidity with an electronic turbidity meter. Sampling is conducted at 15 mangrove creeks in two drainages: Rookery Branch and the North, Roberts, and Watson rivers. Electrofishing is used to target large-bodied predatory species. At each creek, we systematically sample, three 100 meter long sections of creek bank by electrofishing (0-100m, 200-300m, and 400-500m). Each electrofishing bout lasts five minutes (pedal time). Electrofishing is an effective method for sampling large fishes in freshwater habitats, and eletrofishing catch per unit effort (CPUE) provides a reliable index of fish abundance. For all bouts, electrofishing power is standardized to 1500 watts according to the ambient temperature and conductivity conditions. Because creek width is considerably greater than the electric field generated by the electrofisher, a left or right bank was randomly selected for each bout. Folling USGS-NAWQA guidelines, all electrofishing is conducted using intermittent application of electrical current to prevent fish from fleeing deep beneath the mangroves. All fish captured are placed in a holding tank, identified, measured (to the nearest 1-mm standard or total length), weighed (if necessary), and released after full recovery. We measure mass of those species for wich we do not have reliable length-mass regression equations with which to estimate mass-this procedure results in less handling of fishes and reduces stress on the specimens. Only non-indigenous species are saved and preserved in 10 percent formalin to be returned to the laboratory for processing. Although electrofishing typically targets large fish species, we routinely capture specimens as small as 5-cm standard length (SL). During each sampling event, we use a YSI 85 unit to record physico-chemical parameters (water temperature, specific conductance/salinity, and dissolved oxygen) at the beginning of each electrofishing bout. Water clarity and bottom type are measured with a measuring stick and turbidity with an electronic turbidity meter. Sampling is conducted at 15 mangrove creeks in two drainages: Rookery Branch and the North, Roberts, and Watson rivers. Electrofishing is used to target large-bodied predatory species. At each creek, we systematically sample, three 100 meter long sections of creek bank by electrofishing (0-100m, 200-300m, and 400-500m). Each electrofishing bout lasts five minutes (pedal time). Electrofishing is an effective method for sampling large fishes in freshwater habitats, and eletrofishing catch per unit effort (CPUE) provides a reliable index of fish abundance. For all bouts, electrofishing power is standardized to 1500 watts according to the ambient temperature and conductivity conditions. Because creek width is considerably greater than the electric field generated by the electrofisher, a left or right bank was randomly selected for each bout. Folling USGS-NAWQA guidelines, all electrofishing is conducted using intermittent application of electrical current to prevent fish from fleeing deep beneath the mangroves. All fish captured are placed in a holding tank, identified, measured (to the nearest 1-mm standard or total length), weighed (if necessary), and released after full recovery. We measure mass of those species for wich we do not have reliable length-mass regression equations with which to estimate mass-this procedure results in less handling of fishes and reduces stress on the specimens. Only non-indigenous species are saved and preserved in 10 percent formalin to be returned to the laboratory for processing. Although electrofishing typically targets large fish species, we routinely capture specimens as small as 5-cm standard length (SL). During each sampling event, we use a YSI 85 unit to record physico-chemical parameters (water temperature, specific conductance/salinity, and dissolved oxygen) at the beginning of each electrofishing bout. Water clarity and bottom type are measured with a measuring stick and turbidity with an electronic turbidity meter. Keywords Electrofishing fish capture Procedural Steps Apply electric current to sampling area net immobilized fish place fish into a water tank on boat Instrumentation 21' Aluminum boat fitted with a generator and other electrofishing equipment (see citation 28) Quality Control All data from sampling, catch, and processing datasheets are entered in spreadsheet format using Microsoft Excel. Separate files are created and managed for two sampling methods (electrofishing and minnow trapping). Since analyses are multiyear, all years of data are combined into a single file, and as new data is gathered, it is added to a master datafile containing all previous years of data. Post data entry, data are verified and validated by a different technician from the technician that entered the data. Then, the data files are cleaned and formatted for statistical analyses. Distribution Online distribution: https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1164/11/de8a81c56378979f369fff30bbde9f01 Intellectual Rights These data are not collected with NSF funds. The researchers have no obligation to make them freely and publicly accessible. Access to the data may only be granted by the PI, Jennifer Rehage. Dataset Keywords estuaries producers fishes predators populations FCE Florida Coastal Everglades LTER ecological research long-term monitoring consumer dynamics Rookery Branch Electrofishing Everglades National Park catches consumers freshwater salinity catch per unit effort prey fish predators dissolved oxygen water temperature seasonality species Data Submission Date: 2022-01-30 Maintenance This is a long-term trophic dynamics and community structure dataset and subsequent data will be appended. This dataset replaces all previous versions of LT_TDCS_Rehage_001 original. The FCE program is discontinuing its practice of versioning data as of March 2013. Dataset Contact Name: Jennifer Rehage Position: Principal Investigator Organization: Southeast Environmental Research Center Address: Florida International University University Park ECS 337 Miami, FL 33199 USA Phone: 305-348-0181 Fax: rehagej@fiu.edu Email: Lead Principal Investigator URL: http://www.fiu.edu/~envstud/index_environment.html Position: Information Manager Organization: Florida Coastal Everglades LTER Program Address: Florida International University University Park OE 148 Miami, FL 33199 USA Phone: 305-348-6054 Fax: 305-348-4096 Email: fcelter@fiu.edu URL: http://fcelter.fiu.edu Project permits EVR-2013-SCI-0019 Dataset Submission Date 2022-01-30 Information Management Notes This is a long-term trophic dynamics and community structure dataset and subsequent data will be appended. This dataset replaces all previous versions of LT_TDCS_Rehage_001 original. The FCE program is discontinuing its practice of versioning data as of March 2013.