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openCC0Nov 2025View details →

Juvenile Salmonid Emigration Monitoring in the Stanislaus River at Caswell Memorial State Park, California, 2017-2025

Overview Operation of rotary screw traps on the lower Stanislaus River at Caswell Memorial State Park is part of the U.S Fish and Wildlife Service’s Anadromous Fish Restoration Program and Comprehensive Assessment and Monitoring Program under the National Marine Fisheries Service Reasonable and Prudent Alternatives actions and Central Valley Project Improvement Act. The primary objectives of the study are to collect data that can be used to estimate the passage of juvenile fall-run Chinook Salmon Oncorhynchus tshawytscha and to quantify the raw catch of steelhead Oncorhynchus mykiss. Secondary objectives of the trapping operations focus on collecting biological data on juvenile salmonids and gathering environmental data that will be used to develop models that correlate environmental parameters with salmonid size, temporal presence, abundance, and production. The data package contains seven datasets including: raw catch, trap operation, environmental, and trap efficiency data. Raw Catch – Chinook Dataset This dataset covers ALL Chinook Salmon captured by the rotary screw traps. This spreadsheet includes biological data on: 1) unmarked fall- and spring-run Chinook Salmon 2) recaptured marked fall-run (BBY OR "Pigment / Dye", Photonic Dye, Fin Clip, and VIE OR "Elastomer") Chinook Salmon utilized in trap efficiency trials. Raw Catch – Steelhead Dataset This dataset covers ALL steelhead captured by the rotary screw traps. All steelhead captured are unmarked and presumed to be natural origin steelhead. Raw Catch – ByCatch Dataset This dataset provides biological data on ALL catch (EXCLUDING Chinook Salmon or steelhead) captured by the rotary screw traps. All catch in this table is of natural origin. Trap Operations Dataset This dataset provides trap operation data for each trap visit. Specifically, it includes data on the visit type, trap functioning status, start and end sampling dates and times, total revolutions and instantaneous revolution speeds, livewell intake st

openCC (other)Aug 2025View details →

Overnight Shark River Surveys from Shark River Slough, Everglades National Park (FCE), South Florida from October 2001 to March 2002

Estuarine mixing interfaces have been a focus of wetland ecologists for the last three decades and are of growing concern today. Particularly critical in Everglades restoration, water quality and the dynamics of nutrients and dissolved materials across seasons in the natural system are being defined. We measured diurnal and seasonal (wet and dry) variation in microbial, dissolved and total nutrients and total organic carbon along a riverine transect and for a diurnal cycle in October of 2001 and March of 2002. For the diurnal sampling we anchored a houseboat mid Shark River 100m up river of the mesohaline Florida Coastal Everglades Shark River LTER site and sampled the water for chemical, microbial, and physical parameters. At slack high and low tides we sampled 10 miles offshore then at three sites up the Shark River. TOC (mM) and salinity (ppt) were highly correlated (r2 .97) along the river transect across seasons and TOC derived from terrestrial input. Bacterial production ranged from 1.88 to 10.99 mg C l-1 d-1 and was greatest in the dry season and at the most freshwater sampling points. Combined examination of our 49 sampled parameters both from the diurnal sampling and river transect sampling showed that our position for sampling in the river was critical and that the mid river-estuarine productivity maxima occurred within Shark River in both the wet and dry season. These data suggest this oligotrophic estuarine-river system is highly sensitive to watershed and river fringe nutrient inputs and remineralization vectors within the river.

Water Quality Data (Grab Samples) from the Taylor Slough, just outside Everglades National Park (FCE), for August 1998 to November 2006

Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 1L sample every 15 minutes after the threshold has been reached and remains (previous to 2003- the autosampler was programmed to collect 500mL of water every 30 minutes while the threshold was being met). Rain event samples are collected, retrieved, and analyzed like out c

Soil Physical Data from the Shark River Slough, Everglades National Park (FCE), from November 2000 to January 2007

Soil pH, Eh and temperature readings are taken at SRS1b, SRS1c, SRS1d, SRS2 and SRS3. These measurements are taken only when the marsh is wet. Measurements are taken using an Orion model 250A meter, and the probes attached to the meter are the Orion Thermo pH probe and the Orion Eh probe. All readings are recorded in field notebooks, and then transferred into Microsoft Excel. The Eh reading is taken when the Eh probe is attached to the meter and the word "Ready" appears on the meter screen. The pH and temperature reading are taken when the pH probe is attached to the meter and the word "Ready" appears on the meter screen.

Soil Physical Data from the Taylor Slough, just outside Everglades National Park (FCE), from October 1998 to October 2006

Soil pH, Eh and temperature readings are taken at TS/Ph4 and TS/Ph5. These measurements are taken only when the marsh is wet. Measurements are taken using an Orion model 250A meter, and the probes attached to the meter are the Orion Thermo pH probe and the Orion Eh probe. All readings are recorded in field notebooks, and then transferred into Microsoft Excel. The Eh reading is taken when the Eh probe is attached to the meter and the word "Ready" appears on the meter screen. The pH and temperature reading are taken when the pH probe is attached to the meter and the word "Ready" appears on the meter screen.

Soil Physical Data from the Taylor Slough, within Everglades National Park (FCE), from September 1999 to November 2006

Soil pH, Eh and temperature readings are taken at TS/Ph1b,TS/Ph2,TS/Ph3 and TS/Ph6b. These measurements are taken only when the marsh is wet. Measurements are taken using an Orion model 250A meter, and the probes attached to the meter are the Orion Thermo pH probe and the Orion Eh probe. All readings are recorded in field notebooks, and then transferred into Microsoft Excel. The Eh reading is taken when the Eh probe is attached to the meter and the word "Ready" appears on the meter screen. The pH and temperature reading are taken when the pH probe is attached to the meter and the word "Ready" appears on the meter screen.

Soil Characteristic and Nutrient Data from the Taylor Slough, within Everglades National Park (FCE), from March 2002 to April 2004

Three random soil cores are collected once a year from TS/Ph 1b, 2, 3, 4, 5, & 6b. The collection of these soil cores is in the dry season (Dec.-May). The top 10cm of soil is collected using a soil core. The soil is then analyzed to obtain its bulk density, organic matter content, TC, TN, and TP.

Soil Characteristics and Nutrient Data from the Shark River Slough, within Everglades National Park (FCE), from March 2003 to March 2004

Three random soil cores are collected once a year from SRS1b, SRS2, and SRS3. The collection of these soil cores is in the dry season (Dec.-May). The top 10cm of soil is collected using a soil core. The soil is then analyzed to obtain its bulk density, organic matter content, TC, TN, and TP.

Algae, and Seagrass Coverage Relative to Presence of Sargassum in a Seagrass Meadow within Crandon Park, Florida, USA, March 2024 – March 2025

This package contains data on percent coverage of sargassum, seagrass, and algae recorded along 3 transects extending from the shoreline of Crandon Park, Florida from 2024-03-07 to 2025-03-26 as part of the Coastal Ecosystem-Research Experience for Teachers (CE-BIORETS) program. The data also include epiphyte-cover scores and water visibility, temperature, and salinity values. We placed a m^2 quadrat on the seafloor at 5-meter intervals along three 50-meter transects extending from the shoreline. We then recorded percent coverage of seagrass, algae, and sargassum taxa (to genus or species) and the epiphyte load within the quadrat. We also recorded water visibility, temperature, and salinity at the water surface along the transect. We collected these data to investigate the impact sargassum has on native seagrass meadows. Data collection for this project is complete

openCC0Dec 2023View details →

Lake Sediment Pollen from Spruce Pond in Harriman State Park NY from 13778 BP to Present

Aim We analyzed a dataset composed of multiple palaeoclimate and lake-sediment pollen records from New England to explore how postglacial changes in the composition and spatial patterns of vegetation were controlled by regional-scale climate change, a subregional environmental gradient, and landscape-scale variations in soil characteristics. Location The 120,000-km2 study area includes parts of Vermont and New Hampshire in the north, where sites are 150-200 km from the Atlantic Ocean, and spans the coastline from southeastern New York to Cape Cod and the adjacent islands, including Block Island, the Elizabeth Islands, Nantucket, and Martha’s Vineyard. Results Boreal forest featuring Picea and Pinus banksiana was present across the region when conditions were cool and dry 14,000-12,000 calibrated 14C yrs before present (ybp). Pinus strobus became regionally dominant as temperatures increased between 12,000 and 10,000 ybp. The composition of forests in inland and coastal areas diverged in response to further warming after 10,000 ybp, when Quercus and Pinus rigida expanded across southern New England, while conditions remained cool enough in inland areas to maintain Pinus strobus. Increasing precipitation allowed Tsuga canadensis, Fagus grandifolia, and Betula to replace Pinus strobus in inland areas during 9000-8000 ybp, and also led to the expansion of Carya across the coastal part of the region beginning at 7000-6000 ybp. Abrupt cooling at 5500-5000 ybp caused sharp declines in Tsuga in inland areas and Quercus at some coastal sites, and the populations of those taxa remained low until they recovered around 3000 ybp in response to rising precipitation. Throughout most of the Holocene, sites underlain by sandy glacial deposits were occupied by Pinus rigida and Quercus. Main conclusions Postglacial changes in the composition and spatial pattern of New England forests were controlled by long-term trends and abrupt shifts in temperature and precipitation, as well as by

openCC (other)May 2025View details →

Double-crested Cormorant (Nannopterum auritum) nesting colony and environmental data in Biscayne National Park, Florida, USA (2009-2024)

Double-crested Cormorant (DCCO) nesting data were collected from colonies in Biscayne National Park (BISC) by the South Florida/Caribbean Inventory and Monitoring Network as part of the Colonial Nesting Birds vital sign monitoring program. Nesting data collected from 2010 to 2023 are included in this dataset. Salinity, chlorophyll, and ammonia data were acquired from sites monitored in the Surface Water Quality Monitoring Program managed by the Miami-Dade County Division of Environmental Management’s Department of Regulatory and Economic Resources (RER-DERM). Seagrass data were acquired from sites monitored by RER-DERM as a part of the Biscayne Bay Benthic Habitat Monitoring Program. Mangrove fish and epifauna data were acquired from the U.S. National Oceanic and Atmospheric Administration's (NOAA) Integrated Biscayne Bay Ecological Assessment and Monitoring Project (IBBEAM). Environmental data (salinity, chlorophyll, ammonia, seagrass, mangrove fish, and epifauna) were manipulated in order to examine the relationship between DCCO nesting trends and the BISC ecosystem. This data package is completed. Code included is pertinent to the methods described in "Assessment of ecosystem health in Biscayne National Park, Florida according to Double-crested Cormorant (Nannopterum auritum) nesting trends" by Taylor et al. 2025, currently submitted to and under review by Ecological Indicators.

openCC (other)Jul 2025View details →

Long-term record of lake and stream biogeochemistry from the Loch Vale Watershed, Rocky Mountain National Park, Colorado, USA: 1981-2024

The Loch Vale Watershed (LVWS) Project is a long-term research and monitoring program that addresses watershed-scale ecosystem processes, particularly as they respond to atmospheric deposition and climate variability. The LVWS is a 7-km2 high-altitude basin located within Rocky Mountain National Park in the Colorado Front Range (Colorado, United States of America). This dataset includes year-round measurements of physical water parameters, nutrients, major ions, trace metals, silica, and chlorophyll collected from lakes and streams within the LVWS basin. Related data entities: Scanned field notebooks from the Loch Vale Watershed Project from 1981-2023 are available via this published data release: https://www.sciencebase.gov/catalog/item/6723cba2d34e4f57573e8e45. Quality assurance reports from the Loch Vale Watershed Project are available for specific time periods and can be found at the following locations: 1983-1987: included in this data release under "Other Entities", file name LWVS_QAreport_1983to1987_Denning 1988: included in this data release under "Other Entities", file name LWVS_QAreport_1988_Denning 1989-1990: included in this data release under "Other Entities", file name LWVS_QAreport_1989to1990_Edwards 1995-1998: https://doi.org/10.3133/ofr99111 1999-2002: https://doi.org/10.3133/ofr20041306 2003-2009: https://doi.org/10.3133/ofr20111137 2010-2019: https://doi.org/10.3133/tm1D9 The most recent methods manual is included in full in this data release under "Other Entities", file name "LVWS Methods Manual". Please refer to this manual for the detailed methods.

openCC0Feb 2026View details →

Environmental, Taxonomic, and Stable Isotope Data from Aquatic Insects sampled from Beaver-Engineered Headwater Streams (Adirondack Park, NY; 2024).

This data package contains environmental and biological data from a field study examining aquatic insect assemblage composition and basal resource use in beaver-engineered headwater streams in Adirondack Park, New York. Data was collected from six streams across two watersheds; the Oswegatchie River Watershed and Upper Hudson River Watershed. Three streams were sampled within the Oswegatchie River Watershed; East Creek, Sucker Brook, and Chair Rock Creek located near the Cranberry Lake Biological Station in St. Lawrence County. Three streams were sampled from the Upper Hudson River Watershed; Big Sucker Brook, Little Sucker Brook, and Panther Brook located near SUNY ESF’s Newcomb Campus in Essex County. Site conditions were characterized using densiometer measurements of canopy cover, visual assessments of substrate composition, and river discharge measurements collected with an OTT MF Pro flow meter. Aquatic insect assemblages were sampled using multihabitat active sampling and Hester–Dendy and leaf-bag passive samplers, with specimens identified to genus and assigned to functional feeding groups. Carbon and nitrogen stable isotopes were analyzed for a subset of insect taxa and three basal resource pools; coarse particulate organic matter (CPOM), fine particulate organic matter (FPOM), and periphytic algae. The Bayesian mixing model MixSIAR was used to estimate the proportional contribution of these primary sources to aquatic insect biomass. All data was collected between June and August 2024.

Woody vegetation composition and structure at long-term monitoring plots on the Stevenson-Hamilton Research Supersite, Kruger National Park, South Africa (2012)

This dataset contains measurements of woody vegetation composition and structural attributes collected in 2012 from long-term ecological monitoring plots located on the Stevenson-Hamilton Research Supersite in the Kruger National Park, South Africa. The study region is characterized by granitic soils, broad-leaved savanna vegetation, and a long history of fire, herbivory, and climate-driven ecological dynamics. Vegetation surveys were conducted in sixteen 0.25-ha sampling plots to quantify woody species composition, stem density, and size structure. Additional measurements of vegetation structure were collected, including grass biomass, canopy cover, canopy height, and canopy diversity, providing a broader assessment of both woody and herbaceous layers. These data establish an important baseline for monitoring ecological change, evaluating woody vegetation dynamics under variable fire and herbivore regimes, and supporting ongoing research on savanna ecosystem functioning within the Kruger National Park.

Riparian Woody Vegetation Composition and Structure in Long-Term Monitoring Plots Along the Sabie River, Kruger National Park (2011-2012)

This dataset contains measurements of woody vegetation composition and structural attributes collected in 2009 and 2010 from 15 long-term riparian monitoring plots located along the Sabie River in the southern region of the Kruger National Park, South Africa. The Sabie River is the park’s most perennial river system and supports diverse riparian plant communities influenced by hydrological variability, flooding dynamics, sediment deposition, herbivory, and climate-driven disturbance. Within each monitoring plot, field teams recorded woody species identity, stem density, plant height, and stem diameter. Additional structural and condition indicators were collected, including canopy breakage, evidence of bark stripping, resprouting status, and whether individuals were toppled or alive at the time of sampling. These structural attributes provide detailed assessments of disturbance impacts and vegetation condition within riparian zones. Data collection followed the same standardized protocols as the Southern Granites long-term vegetation monitoring program, allowing for cross-site comparisons between upland savanna and riparian systems. This dataset provides a baseline for evaluating long-term ecological change in riparian woody plant communities and supports ongoing research on the ecological functioning and resilience of river corridors in Kruger National Park.

openCC (other)Aug 2021View details →

Florida Bay Braun Blanquet, Everglades National Park (FCE), South Florida from October 2000 to Present (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-fce/1129/8. The abstract below was extracted from the Level 0 data package and is included for context: Braun Blanquet surveys determining frequency, abundance, and density for seagrass and macroalgae made during visits to TS/Ph 7a, 8-11. Our long term research program focuses on the following central objective: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Graphic representation of data can be located at http://serc.fiu.edu/seagrass/!CDreport/DataHome.htm We are investigating how variability in regional climate, freshwater inputs, disturbance, and perturbations affect the coastal Everglades ecosystem. Our long term research program focuses on testing the following central idea and hypotheses: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Hypothesis 1: In nutrient-poor coastal systems, long-term changes in the quantity or quality of organic matter inputs will exert strong and direct controls on estuarine productivity, because inorganic nutrients are at such low levels. Hypothesis 2: Interannual and long-term changes in freshwater flow controls the magnitude of nut

openCC (other)Aug 2021View details →

Cross Bank Benthic Aboveground Biomass, Everglades National Park (FCE LTER), South Florida from 1983 to 2014 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-fce/1203/2. The abstract below was extracted from the Level 0 data package and is included for context: Aboveground biomass surveys of benthos on cross bank, a site of experimental fetilization via bird defecation since 1983. Dataset includes species specific biomass at five sites, each with both control and experimental treatments We are investigating how variability in regional climate, freshwater inputs, disturbance, and perturbations affect the coastal Everglades ecosystem. Our long term research program focuses on testing the following central idea and hypotheses: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Hypothesis 1: In nutrient-poor coastal systems, long-term changes in the quantity or quality of organic matter inputs will exert strong and direct controls on estuarine productivity, because inorganic nutrients are at such low levels. Hypothesis 2: Interannual and long-term changes in freshwater flow controls the magnitude of nutrients and organic matter inputs to the estuarine zone, while ecological processes in the freshwater marsh and coastal ocean control the quality and characteristics of those inputs. Hypothesis 3: Long-term changes in freshwater flow (primarily manifest through management and Everglades restoration) will interact with long-term changes in the climatic and disturbance (sea level rise, hurricanes, fires) regimes to modify ecological pattern

openCC0Jul 2025View details →

CAP LTER weather stations at Papago Park and Lost Dutchman State Park in the greater Phoenix metropolitan area of central Arizona, USA, ongoing since 2010

The CAP LTER maintains two micrometeorological stations (10-m height) in the greater Phoenix metropolitan area, including at Lost Dutchman State Park and near the Desert Botanical Garden at Papago Park. The local terrain at both sites is flat or gently sloping Sonoran desert, and the vegetation canopy consists of patchy coverage of desert shrubs and trees. The dominant vegetation species include bursage (*Ambrosia deltoidea*) and creosote bush (*Larrea tridentata*), while minor species include palo verde (*Parkinsonia microphylla*) and saguaro cactus (*Carnegiea gigantea*). Wind speed and direction, incoming solar radiation, air temperature, relative humidity, and precipitation have been monitored nearly continuously since the fall of 2010. Each variable is measured every 5 seconds and the average (or total for precipitation and total solar radiation) saved to a data logger every 10 minutes.