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    14C dates from core PC1 collected from T Lake, Palau in September 2013
    
  
  
    
    

14C dates from core PC1 collected from T Lake, Palau in September 2013

Website: https://www.bco-dmo.org/dataset/771658
Data Type: Other Field Results
Version: 1
Version Date: 2019-06-21

Project
» Do Parallel Patterns Arise from Parallel Processes? (PaPaPro)

Program
» Dimensions of Biodiversity (Dimensions of Biodiversity)
ContributorsAffiliationRole
Sachs, Julian P.University of Washington (UW)Principal Investigator
Dawson, Michael NUniversity of California-Merced (UC Merced)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
14C dates from core PC1 collected from T Lake, Palau in September 2013 using a Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer.


Coverage

Spatial Extent: Lat:7.3045 Lon:134.4385
Temporal Extent: 2013-09 - 2013-09

Acquisition Description

Sediment core PTLN‐PC1 was collected September 2013 in sequential 1‐m sections using a 5‐cm‐diameter Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio). Each section was sealed in the field and refrigerated at 4 °C until core splitting and subsampling.

Thirteen macrofossils were pulled from the core and were pretreated with an acid‐base‐acid procedure according to the protocol in Brock et al. (2010) to remove extraneous organic materials. Accelerator mass spectrometry 14C dating was performed by DirectAMS in Bothell, WA, United States.


Processing Description

The modern age control (youngest age, at depth = 81 cm) was converted from fraction modern to 14C years using the pMC.age() function in the Bacon age‐modeling software package (Blaauw and Christen, 2011). This produced a 90.3% confidence interval for the calibrated age estimate of −0.04611 to −0.05081 ka BP, or CE 1996–2001 (plus a small chance (4.6%) of −0.00831 to −0.00808 ka BP, or CE 1958); this age is anomalously young and clearly an outlier based on comparison with a nearby universal core, prompting its removal. All other dates were calibrated using IntCal2013 (Reimer et al., 2013) and the Clam 2.2 software package (Blaauw, 2010).

BCO-DMO Processing: modified parameter names (replaced "." with underscores; changed "14C_raw" to "raw_14C" because column names cannot start with numbers)


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Related Publications

Blaauw, M. (2010). Methods and code for “classical” age-modelling of radiocarbon sequences. Quaternary Geochronology, 5(5), 512–518. doi:10.1016/j.quageo.2010.01.002 [details]
Blaauw, M., & Christen, J. A. (2011). Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Analysis, 6(3), 457–474. doi:10.1214/11-ba618 https://doi.org/10.1214/11-BA618 [details]
Brock, F., Higham, T., Ditchfield, P., & Ramsey, C. B. (2010). Current Pretreatment Methods for AMS Radiocarbon Dating at the Oxford Radiocarbon Accelerator Unit (Orau). Radiocarbon, 52(1), 103–112. doi:10.1017/s0033822200045069 https://doi.org/10.1017/S0033822200045069 [details]
Sachs, J. P., Blois, J. L., McGee, T., Wolhowe, M., Haberle, S., Clark, G., & Atahan, P. (2018). Southward Shift of the Pacific ITCZ During the Holocene. Paleoceanography and Paleoclimatology. doi:10.1029/2018pa003469 https://doi.org/10.1029/2018PA003469 [details]

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Parameters

ParameterDescriptionUnits
Labcodesample identification used by 14C laboratory unitless
depth_topcomposite depth, top of 1 cm interval associated with fossil centimeters (cm)
mat_datedmaterial dated unitless
raw_14Cconventional radiocarbon age, relative to 1950 years
raw_14C_errstandard error, radiocarbon age years
calib_14C_95_localibrated age, 95% confidence interval lower bound years
calib_14C_95_upcalibrated age, 95% confidence interval upper bound years


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Instruments

Dataset-specific Instrument Name
Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer
Generic Instrument Name
Piston Corer
Dataset-specific Description
Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio). Hand-operated sediment coring device.
Generic Instrument Description
The piston corer is a type of bottom sediment sampling device. A long, heavy tube is plunged into the seafloor to extract samples of mud sediment. A piston corer uses a "free fall" of the coring rig to achieve a greater initial force on impact than gravity coring. A sliding piston inside the core barrel reduces inside wall friction with the sediment and helps to evacuate displaced water from the top of the corer. A piston corer is capable of extracting core samples up to 90 feet in length.

Dataset-specific Instrument Name
Accelerator mass spectrometry
Generic Instrument Name
Accelerator Mass Spectrometer
Dataset-specific Description
Accelerator mass spectrometry 14C dating was performed by DirectAMS in Bothell, WA, United States.
Generic Instrument Description
An AMS measures "long-lived radionuclides that occur naturally in our environment. AMS uses a particle accelerator in conjunction with ion sources, large magnets, and detectors to separate out interferences and count single atoms in the presence of 1x1015 (a thousand million million) stable atoms, measuring the mass-to-charge ratio of the products of sample molecule disassociation, atom ionization and ion acceleration." AMS permits ultra low-level measurement of compound concentrations and isotope ratios that traditional alpha-spectrometry cannot provide. More from Purdue University: http://www.physics.purdue.edu/primelab/introduction/ams.html


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Deployments

Palau_lakes

Website
Platform
Small boats - CRRF
Start Date
2010-08-21
End Date
2016-06-14
Description
Palau marine lakes


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Project Information

Do Parallel Patterns Arise from Parallel Processes? (PaPaPro)


Coverage: Western Pacific; Palau; Indonesia (West Papua)


This project will survey the taxonomic, genetic, and functional diversity of the organisms found in marine lakes, and investigate the processes that cause gains and losses in this biodiversity. Marine lakes formed as melting ice sheets raised sea level after the last glacial maximum and flooded hundreds of inland valleys around the world. Inoculated with marine life from the surrounding sea and then isolated to varying degrees for the next 6,000 to 15,000 years, these marine lakes provide multiple, independent examples of how environments and interactions between species can drive extinction and speciation. Researchers will survey the microbes, algae, invertebrates, and fishes present in 40 marine lakes in Palau and Papua, and study how diversity has changed over time by retrieving the remains of organisms preserved in sediments on the lake bottoms. The project will test whether the number of species, the diversity of functional roles played by organisms, and the genetic diversity within species increase and decrease in parallel; whether certain species can greatly curtail diversity by changing the environment; whether the size of a lake determines its biodiversity; and whether the processes that control diversity in marine organisms are similar to those that operate on land. Because biodiversity underlies the ecosystem services on which society depends, society has a great interest in understanding the processes that generate and retain biodiversity in nature. This project will also help conserve areas of economic importance. Marine lakes in the study region are important for tourism, and researchers will work closely with governmental and non-governmental conservation and education groups and with diving and tourism businesses to raise awareness of the value and threats to marine lakes in Indonesia and Palau.


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Program Information

Dimensions of Biodiversity (Dimensions of Biodiversity)


Coverage: global


(adapted from the NSF Synopsis of Program) Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program.  [MORE from NSF] The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.


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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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This document is created by info v 4.1f 5 Oct 2018 from the content of the BCO-DMO metadata database.    2020-02-17  08:02:38