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254 results for “SBC LTER”

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edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Santa Barbara Caltrans Office (SBCaltrans335)

Precipitation was collected by the Santa Barbara County Flood Control District at Santa Barbara Caltrans Office (SBCaltrans335) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Botanic Garden (BotanicGarden321)

Precipitation was collected by the Santa Barbara County Flood Control District at Botanic Garden (BotanicGarden321) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Carpinteria US Forest Service Office (CarpinteriaUSFS383)

Precipitation was collected by the Santa Barbara County Flood Control District at Carpinteria US Forest Service Office (CarpinteriaUSFS383) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Montecito (Montecito325)

Precipitation was collected by the Santa Barbara County Flood Control District at Montecito (Montecito325) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Rancho San Julian (RanchoSJ389)

Precipitation was collected by the Santa Barbara County Flood Control District at Rancho San Julian (RanchoSJ389) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Buellton Fire Station (BuelltonFS233)

Precipitation was collected by the Santa Barbara County Flood Control District at Buellton Fire Station (BuelltonFS233) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc

openCC (other)Sep 2019View details →
edi44/100

SBC LTER: Reef: Understory and phytoplankton production at cleared and control plots, Mohawk Reef, 2007-2008

These data are described in: Miller, R. J., D. C. Reed and M. A. Brzezinski. 2011. Partitioning of primary production among giant kelp ( Macrocystis pyrifera ), understory macroalgae, and phytoplankton on a temperate reef. Limnology and Oceanography, 56: 119-132

openCC (other)Mar 2020View details →
edi44/100

SBC LTER: Reef: Macroalgal photosynthetic parameters

ABSTRACT These data tables contain the laboratory-derived values for photosynthetic parameters (Pmax, alpha, and dark respiration) for 22 taxa of understory macroalgae and juvenile Macrocystis pyrifera. Photosynthetic parameters can be combined with in situ data on algal abundance and irradiance to estimate net primary production for the understory macroalgal community.

openCC (other)Jan 2020View details →
edi44/100

SBC LTER: Land: Stream chemistry in the Santa Barbara Coastal drainage area, 2000 -2018

This data package contains stream water chemistry measurements taken in Santa Barbara area watersheds, between 2000 and 2018. We do not plan to update this dataset after 2018 because the watershed component of the research within SBCLTER was terminated. Stream water samples were collected weekly during non-storm flows in winter, and bi-weekly during summer. During winter storms, samples were collected hourly (rising limb) or at 2-4 hour intervals (falling limb). Analytes sampled in the SBC LTER watersheds included dissolved nitrogen (nitrate, ammonium, total dissolved nitrogen); soluble reactive phosphorus (SRP); particulate organic carbon, nitrogen and phosphorus; total suspended sediments; and conductivity. There were two tables in this dataset. Samples from "registered stations" (see geographic coverage) were in the first data table (see table name). Many other samples had been collected ad hoc, or as "stations of opportunity". These had been collected in a second table, designated "non-registered". The station codes for these samples may have been reused, and were not recorded in metadata (but station codes can be found in data).

openCC (other)Sep 2020View details →
edi44/100

SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Arroyo Quemado Reef(ARQ), 2012-2017

Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were collected from Arroyo Quemado Reef in the Santa Barbara Channel (site ID: ARQ). pH data are accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET instrument is located about 4 meters from the surface, with other moored instruments. Associated carbonate chemistry parameters were calculated with the CO2calc programs from USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and near the seafloor, and also report temperature. All data have been interpolated to a 20 minute time interval for compatibility with other SBC LTER moored instrument data. Data coverage is 2012-07-30 to 2017-03-10.All data from this site have been concatenated with the pH data from the other sites and merged into one data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005

openCC (other)Sep 2020View details →
edi44/100

SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Mohawk Reef(MKO), 2012 - 2017

Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were collected from Mohawk Reef in the Santa Barbara Channel (site ID: MKO). pH data are accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET instrument is located about 4 meters from the surface, with other moored instruments. Associated carbonate chemistry parameters were calculated with the CO2calc programs from USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and near the seafloor, and also report temperature. All data have been interpolated to a 20 minute time interval for compatibility with other SBC LTER moored instrument data. Data coverage is 2012-01-11 to 2017-12-19.The update of this dataset was terminated in 2019. All data from this site have been concatenated with the pH data from the other sites and merged into one data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005

openCC (other)Sep 2020View details →
edi44/100

SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Santa Barbara Harbor/Stearns Wharf(SBH), 2012-2017

Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were collected from Santa Barbara Harbor/Stearns Wharf in the Santa Barbara Channel (site ID: SBH). pH data are accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET instrument is located about 4 meters from the surface, with other moored instruments. Associated carbonate chemistry parameters were calculated with the CO2calc programs from USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and near the seafloor, and also report temperature. All data have been interpolated to a 20 minute time interval for compatibility with other SBC LTER moored instrument data. Data coverage is 2012-09-15 to 2016-09-14. The update of this dataset was terminated in 2019. All data from this site have been concatenated with the pH data from the other sites and merged into one data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005

openCC (other)Sep 2020View details →
edi44/100

SBC LTER: Land Ocean Reef: Carbon, Nitogen and Hydrogen isotopes for evaluating food sources for subtidal consumers, 2009-2010

Potentially important food sources to consumers on shallow subtidal reefs include phytoplankton-dominated seston, kelp-derived detritus, and for locations adjacent to sources of freshwater runoff, terrestrially-derived material. The SBC LTER is using stable carbon, nitrogen and deuterium isotope ratio analysis to evaulate the relative contribution of these sources to reef food webs. We collect seasonal samples from five core SBCLTER research reefs (Arroyo Hondo, Naples, Arroyo Burro, Goleta bay and Carpinteria), and areas adjacent. We routinely collect several types of samples: from giant kelp (Macrocystis pyrifera), red, brown and green algae, terrestrial material (Oak leaves), stream, sediment and ocean water particulate organic material, and a benthic polychaete worm (Diopatra). This information will be used to evaluate whether these isotopic values differ enough from one another to permit the use of mixing models to estimate the contribution of each source to the reef food web.

openCC (other)Feb 2018View details →
edi44/100

SBC LTER: Reef: Kelp Forest Community Dynamics: Kelp Forest Data to support "Estimating biomass of benthic kelp forest invertebrates from body size and percent cover"

These data describe quantitative relationships between wet mass and length or wet mass and percent cover, and conversion factors to transform wet mass into dry mass, shell-free and decalcified dry mass, and ash-free dry mass for 84 species of benthic macroinvertebrates common to giant kelp forests in southern California. Data are based on organisms collected from sites in the Santa Barbara Channel between April 2010 and May 2014. These measurements are intended to facilitate the conversion of invertebrate abundance into common metrics of biomass, for quantitative studies of community dynamics, trophic interactions, energy flow and biodiversity. Converting numerical abundance (i.e., organism density) to biomass requires information on the relationship between individual size and biomass. For colonial and small aggregating taxa that are numerous and indistinct, measures of abundance are usually proportional (e.g., percent cover). Hence, converstions are taxa-specific, based on either size or cover, and a variety of metrics of species biomass are included, e.g., wet mass, shell-free wet mass, ash-free dry mass. Data are published in Reed, D. C, J. C. Nelson, S. L. Harrer, and R. J. Miller, Estimating biomass of benthic kelp forest invertebrates from body size and percent cover data. Marine Biology. DOI: 10.1007/s00227-016-2879-x. From the paper abstract: The inability to compare different measures of species abundance (such as density and percent cover) or different metrics of species biomass (such as wet mass and ash-free dry mass) hampers quantitative studies of community dynamics, trophic interactions, energy flow and biodiversity. This has been especially problematic for the dynamic and highly productive communities inhabiting shallow reefs in temperate seas where varied metrics are commonly used to characterize the abundance and biomass of different suites of species. Regressions for all 84 species were highly significant and regression fits were very good for mos

openCC (other)Oct 2022View details →
edi40/100

SBC LTER and MBON: Sea urchin microbiomes in Southern California

Sea urchins are key grazers in coastal seas, where they can survive a variety of conditions and diets, enhancing their ecological impact on coral reefs, kelp forests, and other ecosystems. These data describe a comparative study of the microbiomes of the two dominant sea urchin species in southern California, the red urchin Mesocentrotus franciscanus, and the purple urchin Strongylocentrotus purpuratus across three rocky reef habitats that differed in the types and availability of food resources: kelp forests, urchin barrens and a hydrocarbon seep.

openCC (other)Jan 2021View details →
edi40/100

SBC LTER: Watersipora recruitment on offshore oil platforms in the Santa Barbara Channel, 2014-2015

These data describe the results of experiments and sampling designed to evaluate the effects of disturbance on the establishment of the non-native bryozoan Watersipora subatra on offshore oil and gas platforms in the Santa Barbara Channel, CA, USA.

openCC (other)Jan 2018View details →
edi40/100

SBC LTER: REEF: Exudation of dissolved organic carbon by the giant kelp Macrocystis pyrifera

We estimated rates of DOC exudation by Macrocystis pyrifera using short-term (2-4 hours) in situ incubations of entire blades and portions of stipes in the kelp forest at Mohawk Reef near Santa Barbara, California, USA (34o 23.660’ N, 119o 43.800’ W). Incubations of blades were conducted within 2 m of the sea surface at midday on eight dates between October 2007 and August 2011 to investigate the effects of blade growth stage, nutrient status (as indicated by C:N ratio determined using an Exeter Analytical CE-440 CHN/O/S elemental analyzer), epiphyte load, sea surface irradiance, and sea surface temperature on rates of DOC release from intact blades.

openCC (other)Feb 2018View details →
edi40/100

SBC LTER: REEF: Frond Lifespans of the giant kelp Macrocystis pyrifera

These data describe the demography of 109 cohorts of giant kelp fronds on 194 tagged plants (1007 total fronds surveyed). Cohorts of fronds on tagged plants were followed monthly in three kelp forests near Santa Barbara, CA from April 2002 to June 2005. These data are useful for determining frond birth rates, death rates, lifespan and age structure.

openCC (other)Feb 2018View details →
edi40/100

SBC LTER: Sargassum horneri life history in southern California

These data describe the results of surveys and experiments performed to characterize the life history of the invasive seaweed Sargassum horneri and quantify traits that promote its spread and persistence, including seasonality in abundance and reproduction, habitat affinity, and capacity for local dispersal. This data package includes five data tables and they are used to support a manuscript: Marks LM, Reed DC, Holbrook SJ (2018) Life history traits of the invasive seaweed Sargassum horneri at Santa Catalina Island, California. Aquatic Invasions 13 (3): 339–350. doi: https://doi.org/10.3391/ai.2018.13.3.03

openCC (other)Sep 2018View details →
edi40/100

SBC LTER: REEF: Allometric Measurements of Giant Kelp

These data describe the allometry of 55 giant kelp plants collected monthly from three kelp forests near Santa Barbara, CA from May 2002 to June 2003. Included are values for the length and mass of each frond, distinguishing material in the water column from that found at the surface. Data on stipe diameter, number of blade nodes and blade mass are also provided for a subset of fronds. These data were used by Rassweiler et al. (2018) to develop relationships predicting the mass of giant kelp found in the water column and canopy as a function of a few measurements taken from each plant.

openCC (other)Oct 2018View details →

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