http://lod.bco-dmo.org/id/dataset/682593
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2017-02-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Measurements of above and below ground seagrass biomass around an artificial reef (Fish and biogeochem hot spots project)
2017-02-16
publication
2017-02-16
revision
BCO-DMO Linked Data URI
2017-02-16
creation
http://lod.bco-dmo.org/id/dataset/682593
Craig Layman
North Carolina State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Layman, C. (2017) Measurements of above and below ground seagrass biomass around an artificial reef (Fish and biogeochem hot spots project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2017-02-16 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/682593 [access date]
Fish densities and sizes, Bahamas, 2015-2016 Dataset Description: <p>This dataset includes seagrass biomass measurements from collections in The Bahamas in December 2013. Reported are blade area, the number of shoots, grazing scars (bites), bites/unit area, the weight and area of the epiphytes, the dry weight of the blades, roots, rhyzomes, and the below ground biomass.</p>
<p><strong>Related Reference:</strong><br />
Layman, C.A., Allgeier, J.E., and Montaña, C.G. 2016. The attraction-production debate viewed&nbsp; from the bottom-up: mechanistic evidence of increased production thresholds. Ecological Engineering. 95:574-579. <a href="http://dx.doi.org/10.1016/j.ecoleng.2016.06.109" target="_blank">http://dx.doi.org/10.1016/j.ecoleng.2016.06.109</a></p> Methods and Sampling: <p>All raw values are based on the seagrass measurements collected in a core with a area of 126cm<sup>2</sup>.</p>
<p>Methods from Layman et al (2016) Ecol. Engr.:</p>
<p>This case study was based in the Bight of Old Robinson, Abaco, The Bahamas, a semi-enclosed bay that has a complex benthic mosaic comprised predominantly of sand, seagrass (primarily turtle grass Thalassia testudinum), and hard bottom/patch reef habitat. We sampled an artificial reef (N 26 20.549', W77 00.874') that had similar spatial patterns in aboveground seagrass traits as other patch reefs (both natural and artificial) in seagrass beds of this area (Allgeier et al., 2013; Layman et al., 2013). This reef (dimensions ~1.2 m2 at base and ~1.2 m tall) was constructed in March 2009 using 40 cinder blocks arranged in pyramid fashion (Yeager et al., 2011). Samples (December 2013) were taken in spatially-explicit fashion on 3 transects radiating from each reef; transects were oriented ~120 degrees apart in random directions. Cores were taken with a 12.7 cm diameter pvc pipe at set distances (m) from the reef on each transect: 1, 2, 3, 4, 6, 10, 15, 100. The core was driven ~16 cm into the sediment and manually excavated, placing one hand under the bottom of the core as it was pulled out. Visual inspection demonstrated cores successfully remove all seagrass tissues from the sampled area. Water was drained from the cores and sand was rinsed off with seawater and then they were placed in individual plastic bags and immediately frozen.</p>
<p>In the laboratory, cores of seagrass biomass were thawed and separated into aboveground biomass (all attached green leaves of shoots) and belowground biomass (rhizomes and roots). Shoots were enumerated and morphology of blades (length and width) was measured. As a proxy for grazing intensity, we measured the total number of grazing scars on all blades in the core (Valentine and Duffy, 2006). Blades were gently scraped with a razor blade to remove epiphytes; belowground material was rinsed with deionized water. Tissues were dried for 72 h at a constant temperature of 65C and dry weight (to the nearest 0.01 g) was recorded. Dried samples were ground into a fine powder using a PRECELLYS-24 grinder and subsamples of each were analyzed for percent of carbon (C), nitrogen (N), and phosphorous (P). Percent C and N content were determined using a CHN Carlo-Erba elemental analyzer (Fison NA1500). Percent P was determined by dry oxidation acid hydrolysis extraction followed by colorimetric analysis (Fourqurean and Zieman, 1992).</p>
<p>To explore potential thresholds in allocation of resources between different tissue structures, we first partitioned total plant nutrients into the various tissues from which these measurements were obtained (n = 48 for each tissue type, n = 144 total). Partitions included: % blade nutrients to total (whole-plant) nutrients, % total belowground (root + rhizome) to total, % root to total, % rhizome to total, % roots to total belowground, and % rhizome to total belowground. Generalized additive models (gam) were then used to describe the relationship of these data with respect to distance from the reef. If the relationship was non-linear, a changepoint analysis, using the package "changepoint" in R, was used to determine the distance from the reef at which the threshold was reached. Relationships between belowground and aboveground traits were tested using least squares regression. Data were log transformed and satisfied model assumptions.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1405198 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1405198
completed
Craig Layman
North Carolina State University
919-515-2741
Department of Applied Ecology 127 David Clark Labs, Campus Box 7617
Raleigh
NC
27695-7617
USA
calayman@ncsu.edu
pointOfContact
asNeeded
Unknown
sample
blade_area
num_shoots
num_bites
bites_per_area
epiphyte_dry_wgt
epiphyte_wgt_per_area
blades_dry_wgt
roots_dry_wgt
rhyzomes_dry_wgt
biomass_below
CHN Carlo-Erba elemental analyzer (Fison NA1500)
theme
None, User defined
sample identification
surface_area
count
abundance
dry_wgt_globec
featureType
BCO-DMO Standard Parameters
CHN Elemental Analyzer
instrument
BCO-DMO Standard Instruments
Layman_2014
service
Deployment Activity
Caribbean
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Fish aggregations and biogeochemical hot spots across regional environmental gradients
https://osprey.bco-dmo.org/project/542132
Fish aggregations and biogeochemical hot spots across regional environmental gradients
<p><em>Description from NSF award abstract:</em><br />
Consumers in marine ecosystems have long been acknowledged for their role in top-down regulation of ecosystems, but their influence through bottom-up pathways such as nutrient supply is often underappreciated and has not been integrated into models of coastal ecosystem dynamics. Yet, nutrient supply from consumers may be a regulating factor when consumers aggregate, such as fishes around structurally complex habitat. Examining this bottom-up mechanistic pathway is essential for a more holistic understanding of seagrass ecosystems, which are important and threatened globally. This study will address the following questions: (1) Does concentrated nutrient supply from consumers result in distinct biogeochemical hot spots in seagrass beds? and (2) How do consumer effects on ecosystem processes vary across regional environmental contexts where nutrient availability and fishing pressure vary? The PIs will conduct experiments at multiple sites within three biogeographic regions in the Caribbean (The Bahamas, Hispaniola, and Grenada/St.Vincent/Grenadines). The experiments will utilize artificial reefs that mimic natural patch reef habitats that concentrate animals at high densities. Response variables reflecting ecosystem processes (e.g., seagrass nutrient content, seagrass biomass, primary producer diversity) will be measured at reef sites and compared with control sites (seagrass sites without reefs). The spatial extent over which ecosystem processes may be affected, i.e., distance from artificial reef, will be quantified and used to detect ecological thresholds in ecosystem responses. Predictor variables, including measures of ambient nutrient availability, fish densities and fish grazing rates, will be used to contextualize the relative importance of consumer-mediated nutrient supply. The hierarchical experimental design and two-pronged analysis will characterize relationships across environmental gradients found among and within the biogeographic regions, facilitating a conceptual framework needed to predict when, where, and why consumer-mediated nutrient supply is an important control of ecosystems processes in seagrass beds.</p>
Fish and biogeochem hot spots
largerWorkCitation
project
eng; USA
biota
oceans
Caribbean
2017-02-16
Caribbean
0
BCO-DMO catalogue of parameters from Measurements of above and below ground seagrass biomass around an artificial reef (Fish and biogeochem hot spots project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/682602.rdf
Name: sample
Units: unitless
Description: <p>Sample identifier: the '5' designates that this study was conducted at reef 5 in our array.</p>
http://lod.bco-dmo.org/id/dataset-parameter/682603.rdf
Name: blade_area
Units: millimeter^2
Description: <p>The total area of all blades</p>
http://lod.bco-dmo.org/id/dataset-parameter/682604.rdf
Name: num_shoots
Units: shoots
Description: <p>Total number of shoots in the core sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/682605.rdf
Name: num_bites
Units: bites
Description: <p>Number of bite marks across all blades</p>
http://lod.bco-dmo.org/id/dataset-parameter/682606.rdf
Name: bites_per_area
Units: bites per millimeter^2
Description: <p>Number of bite scars divided by the total blade area</p>
http://lod.bco-dmo.org/id/dataset-parameter/682607.rdf
Name: epiphyte_dry_wgt
Units: grams
Description: <p>Mass of epiphytes across all blades in the core</p>
http://lod.bco-dmo.org/id/dataset-parameter/682608.rdf
Name: epiphyte_wgt_per_area
Units: milligrams/millimeter^2
Description: <p>Epiphyte mass expressed as a function of blade area</p>
http://lod.bco-dmo.org/id/dataset-parameter/682609.rdf
Name: blades_dry_wgt
Units: grams
Description: <p>Dry weight of all blades in the core</p>
http://lod.bco-dmo.org/id/dataset-parameter/682610.rdf
Name: roots_dry_wgt
Units: grams
Description: <p>Dry weight of all roots in the core</p>
http://lod.bco-dmo.org/id/dataset-parameter/682611.rdf
Name: rhyzomes_dry_wgt
Units: grams
Description: <p>Dry weight of all roots in the core</p>
http://lod.bco-dmo.org/id/dataset-parameter/682612.rdf
Name: biomass_below
Units: grams
Description: <p>Sum of root and rhizome mass</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
3108
https://datadocs.bco-dmo.org/file/WWW1rnvcPzpnL3/seagrass_biomass.csv
seagrass_biomass.csv
Primary data file for dataset ID 682593
download
https://osprey.bco-dmo.org/dataset/682593/data/download
download
onLine
dataset
<p>All raw values are based on the seagrass measurements collected in a core with a area of 126cm<sup>2</sup>.</p>
<p>Methods from Layman et al (2016) Ecol. Engr.:</p>
<p>This case study was based in the Bight of Old Robinson, Abaco, The Bahamas, a semi-enclosed bay that has a complex benthic mosaic comprised predominantly of sand, seagrass (primarily turtle grass Thalassia testudinum), and hard bottom/patch reef habitat. We sampled an artificial reef (N 26 20.549', W77 00.874') that had similar spatial patterns in aboveground seagrass traits as other patch reefs (both natural and artificial) in seagrass beds of this area (Allgeier et al., 2013; Layman et al., 2013). This reef (dimensions ~1.2 m2 at base and ~1.2 m tall) was constructed in March 2009 using 40 cinder blocks arranged in pyramid fashion (Yeager et al., 2011). Samples (December 2013) were taken in spatially-explicit fashion on 3 transects radiating from each reef; transects were oriented ~120 degrees apart in random directions. Cores were taken with a 12.7 cm diameter pvc pipe at set distances (m) from the reef on each transect: 1, 2, 3, 4, 6, 10, 15, 100. The core was driven ~16 cm into the sediment and manually excavated, placing one hand under the bottom of the core as it was pulled out. Visual inspection demonstrated cores successfully remove all seagrass tissues from the sampled area. Water was drained from the cores and sand was rinsed off with seawater and then they were placed in individual plastic bags and immediately frozen.</p>
<p>In the laboratory, cores of seagrass biomass were thawed and separated into aboveground biomass (all attached green leaves of shoots) and belowground biomass (rhizomes and roots). Shoots were enumerated and morphology of blades (length and width) was measured. As a proxy for grazing intensity, we measured the total number of grazing scars on all blades in the core (Valentine and Duffy, 2006). Blades were gently scraped with a razor blade to remove epiphytes; belowground material was rinsed with deionized water. Tissues were dried for 72 h at a constant temperature of 65C and dry weight (to the nearest 0.01 g) was recorded. Dried samples were ground into a fine powder using a PRECELLYS-24 grinder and subsamples of each were analyzed for percent of carbon (C), nitrogen (N), and phosphorous (P). Percent C and N content were determined using a CHN Carlo-Erba elemental analyzer (Fison NA1500). Percent P was determined by dry oxidation acid hydrolysis extraction followed by colorimetric analysis (Fourqurean and Zieman, 1992).</p>
<p>To explore potential thresholds in allocation of resources between different tissue structures, we first partitioned total plant nutrients into the various tissues from which these measurements were obtained (n = 48 for each tissue type, n = 144 total). Partitions included: % blade nutrients to total (whole-plant) nutrients, % total belowground (root + rhizome) to total, % root to total, % rhizome to total, % roots to total belowground, and % rhizome to total belowground. Generalized additive models (gam) were then used to describe the relationship of these data with respect to distance from the reef. If the relationship was non-linear, a changepoint analysis, using the package "changepoint" in R, was used to determine the distance from the reef at which the threshold was reached. Relationships between belowground and aboveground traits were tested using least squares regression. Data were log transformed and satisfied model assumptions.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- renamed parameters to BCO-DMO standard<br />
- reduced number of significant digits of due to sampling precision methods&nbsp;and according to significance arithmetic rules</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
CHN Carlo-Erba elemental analyzer (Fison NA1500)
CHN Carlo-Erba elemental analyzer (Fison NA1500)
PI Supplied Instrument Name: CHN Carlo-Erba elemental analyzer (Fison NA1500) Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
Deployment: Layman_2014
Layman_2014
Caribbean_nearshore
shoreside
Layman_2014
Craig Layman
North Carolina State University
Caribbean_nearshore
shoreside