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openCC (other)Oct 2021View details →

SBC LTER: Reef: Long-term experiment: biomass of kelp forest species, ongoing since 2008 (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-sbc/119/7. The abstract below was extracted from the Level 0 data package and is included for context: These data represent values of biomass density for more than 200 species of macroalgae, invertebrates and fish measured in fixed plots at five reefs as part of a long-term experiment designed to evaluate the effects of disturbance to giant kelp on the structure and productivity of the benthic community. Taxon-specific relationships between size and mass were applied to field measurements of species abundance to estimate biomass density of each species. The five reefs (Arroyo Quemado 34°28.048’N, 120°07.031’W; Carpinteria 34°23.474’N, 119°32.510’W; Isla Vista 34°23.275’N, 119°32.792’W; Mohawk 34°23.649’N, 119°43.762’W; and Naples 34° 25.342’N, 119° 57.102’W) ranged in depth from 5.8 m to 8.9 m (MLLW) and were chosen to represent a range of physical and biological characteristics known to influence subtidal macroalgal assemblages in the region. A common (but not always persistent) feature on these reefs was the presence of the giant kelp, which forms a dense canopy at the sea surface that suppresses recruitment and growth of understory algae below it. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research foc

openCC (other)Oct 2021View details →

Palmyra Atoll Weather Tables and Monthly Rainfall 2008-2017

Weather data collected from Palmyra Atoll by US Fish and Wildlife Service and the Nature Conservancy for the period of 2010-2016, with rainfall data available from 2008-2017.

openCC (other)Jul 2023View details →

Marcell Experimental Forest 10-minute soil temperature and moisture, 2008 - ongoing

This data set is a record of soil temperature and volumetric water content (soil moisture) on two upland mineral soil hillslopes at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. These data are collected as part of the long-term monitoring program at the S2 catchment, which has 6.5 ha of upland mineral soil that surrounds a central 3.2 ha peatland. Soil temperature and moisture are recorded every 10 minutes since 2008 at S2S, a north-facing hillslope that is south of the S2 bog. Measurements at S2N, a south-facing hillslope that is north of the S2 bog, began during 2009. Measurements were recorded at two depths at each of three different relative positions (downslope, mid-slope, and upslope) on the two hillslopes. The MEF is operated and maintained by the USDA Forest Service, Northern Research Station.

Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2008

The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska. The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.

Eddy Flux Measurements, Fen Station, Imnavait Creek, Alaska - 2008

In contribution to the Arctic Observing Network, the researchers have established two observatories of landscape-level carbon, water and energy balances at Imnaviat Creek, Alaska and at Pleistocene Park near Cherskii, Russia. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system. In support of these objectives, a 3m eddy covariance station was established on Imnaviat Creek, Alaska. This station has been continuously monitoring carbon dioxide, water vapor, energy fluxes and various micro-meteorological variables.

Eddy Flux Measurements, Pleistocene Park, Cherskii, Russia - 2008

In contribution to the Arctic Observing Network, the researchers have established two observatories of landscape-level carbon, water and energy balances at Imnaviat Creek, Alaska and at Pleistocene Park near Cherskii, Russia. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. In support of these objectives, a new 32m tower was deployed in Pleistocene Park, about 20km south of North-East Science Station in Cherskii, Russia. This station is currently measuring fluxes of carbon dioxide, methane, water vapor and energy in addition to other meteorological variables.

openCC (other)Dec 2025View details →

Relative percent cover of plant species in low nutrient LTER moist acidic tundra experimental plots (MAT06) established in 2006 for years 2008, 2010-2025, Arctic LTER Toolik Field Station Alaska.

Relative percent cover of plant species was measured in low nutrient LTER moist acidic tundra experimental plots (MAT06). Treatments include a gradient of nitrogen and phosphorus additions along with ammonium and nitrate alone.

Anaktuvuk River, Alaska, USA tussock tundra flowering in response to fire severity, 2008-2015

Eriophorum vaginatum flower counts from annual photographs at the severe, moderate, and unburned Anaktuvuk River, Alaska, USA flux tower sites during peak flowering season (6/17-7/20).

openOpenNov 2023View details →

Bonanza Creek LTER: Hourly Precipitation Weighing Bucket Measurements from 2008 to Present in the Caribou-Poker Creeks Research Watershed near Fairbanks, Alaska

This data set includes year round precipitation values from sampling buckets filled with antifreeze to melt and prevent snow build up. While these sensors work year round, tipping bucket data seems more accurate for snow free periods.

openOpenNov 2022View details →

Site Location and Environmental Characteristics for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Accoss Interior Alaska. Sampled in 2008-2010 and 2013-2015.

This dataset contains the GPS location, slope, orientation, elevation, forest type based on dominant tree biomass, Age, sampling year, total vascular cover, total lchen cover, deciduous index (Alexander et al. 2012, Ecosphere), basal area of black spruce, Alaska paper birch, trembling aspen, large deciduous shrubs and trembling aspen, organic layer depth, pH, heatload, approximated moisture class for all sites (Johnstone et al. 2008), gravimetric moisture content, and volumetric moisture content. This dataset was part of the site-level covariates used in a study of bryophyte post-fire succession in deciduous and coniferous successional trajectories. NOTE: there is some overlap between the >20 years old sites that were sampled by Heather Alexander with some of the data she submitted in relation to her 2012 Ecosphere paper.

openOpenNov 2022View details →

Vegetation Data Collected with Point Frame for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.

This dataset contains point frame data for vegetation less than 1.3 m, including vascular plants, bryophytes, lichens, leaf litter and bare ground, as well as species codes used, as described in Jean et al. 2017 Canadian Journal of Forest Research. Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).

openOpenNov 2022View details →

Bryophyte Cover Summary Data for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.

This dataset contains the summarized bryophyte (percent cover) data obtained from point frame measurements, as used in Jean et al. 2017 Canadian Journal of Forest Research. ?Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).

Consumer Stocks: Physical Data from Everglades National Park (FCE), South Florida from February 1996 to April 2008

We hypothesize that standing crops of consumers reflect patterns of allochthonous nutrient transport along the estuarine interface at the Florida Coastal Everglades (FCE) LTER. Our goal is to investigate how variation in hydrology, water quality, and disturbance influence secondary production. This data set represents the physical data of the sampled plots.

Consumer Stocks: Wet weights from Everglades National Park (FCE), South Florida from March 2003 to April 2008

Environmental data from FCE LTER Caribbean Karstic Region (CKR) study in Yucatan, Belize and Jamaica during Years 2006, 2007 and 2008

Several studies have shown that within the Florida Coastal Everglades, periphyton mat properties, (incuding biomass, nutrient and organic content, and community composition) vary predictably in response to water quality.The Florida Coastal Everglades (FCE) wetland system is very similar with respect to climate, geology, hydrology and vegetation, to wetlands found in Jamaica, the Yucatan region of Mexico and parts of Belize. This study was therefore conducted to ascertain (i) the level of similarity between the periphyton diatom communities from karstic wetland sites in Belize, Mexico, Jamaica and comparable sites within the FCE, (ii) the relationship between periphyton biomass, TP levels and diatom community composition at these sites, and (iii) the feasibility of employing diatoms as indicators of water quality at these sites, using models relating diatom community composition to water quality from comparable sites within the FCE. Multiple wetland sites in Jamaica, the Yucatan region of Mexico and parts of Belize were visited between 2006 and 2008, during wet and dry seasons. At each site physico-chemical data were collected along with periphyton samples. The periphyton samples were processed in accordance with standard methods to obtain biomass, organic content and TP measures, and to identify and enumerate diatom and soft algae species. Various aspects of the diatom communities were then compared to previously compiled data on diatom communities from various parts of the FCE. SIMI analysis was used to determine the level of similarity between the systems and Non-Metric Multidimensional Scaling was used to identify relationships between diatom communities and water quality.

Diatom Species Abundance Data from LTER Caribbean Karstic Region (CKR) study (FCE) in Yucatan, Belize and Jamaica during 2006, 2007, 2008

openCC (other)Apr 2022View details →

Periphyton data from LTER Caribbean Karstic Region (CKR) study in Yucatan, Belize and Jamaica (FCE LTER) during 2006, 2007, 2008

Minnowtrap Data from Rookery Branch and the North, Watson, and Roberts Rivers National Park (FCE) from November 2004 to April 2008

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. Sampling is conducted at 15 mangrove creeks in two drainages: Rookery Branch and the North, Roberts, and Watson rivers. The sampling in Rookery Branch expands over a 12-km stretch of ecotonal mangrove creeks upstream of Tarpon Bay. Minnow traps are used to target small-bodied forage fish. 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). 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.

Fish and consumer data collected from Northeast Shark Slough, Everglades National Park (FCE) from September 2006 to September 2008

Three 1m2 throwtrap sites were selected randomly within a few meters of the location. All fish and macroinvertebrates were sampled within each trap using a seine; the trap is determined to be clear of fish and macroinvertebrates once three empty seines are recovered. The count is reset whenever a fish or invertebrate is caught. Once the trap is determined to be clear, five sweeps are done using a couple of nets. The count resets whenever fish is caught, while an extra sweep is added whenever an invertebrate is captured. The trap is finally cleared once the fifth sweep doesn't capture any organisms. All captured organisms are anesthesized in a plastic cup filled with water and MS222; they are then preserved using a 10% formaldehyde solution for identification and archiving in the lab

FCE Redlands 2008 Slope Mosaic, Miami-Dade County, South Florida

Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.