http://lod.bco-dmo.org/id/dataset/564397
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
2015-08-06
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Coral colony sizes and distribution on the Coral Coast of Viti Levu, Fiji in 2013 (Killer Seaweeds project)
2015-08-12
publication
2015-08-12
revision
BCO-DMO Linked Data URI
2015-08-12
creation
http://lod.bco-dmo.org/id/dataset/564397
Mark E. Hay
Georgia Institute of Technology
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: Hay, M. E. (2015) Coral colony sizes and distribution on the Coral Coast of Viti Levu, Fiji in 2013 (Killer Seaweeds project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2015-08-12 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/564397 [access date]
Colony sizes and distances from each other in 2-meter circles, Fiji 2013 Dataset Description: <p>Experiment testing Janzen-Connell hypothesis in brooding corals - whether juvenile corals experienced distance-dependent mortality near adult conspecifics.</p>
<p>To determine the spatial distribution of P. damicornis and S. hystrix at smaller scales, we conducted 2 m radius circular surveys around focal P. damicornis and S. hystrix colonies that i) were the largest colony of that species within 4 m (to reduce the effects of conspecifics), and ii) occurred where &gt;75% of the substrate within 2 m was suitable habitat for P. damicornis and S. hystrix, again to equalize the likelihood of colonies occurring everywhere in the survey.</p>
<p><strong>Related Datasets:</strong></p>
<p><a href="http://www.bco-dmo.org/dataset/564389" target="_blank">64 m^2 grid survey</a><br />
<a href="http://www.bco-dmo.org/dataset/564404" target="_blank">survival experiments</a><br />
<a href="http://www.bco-dmo.org/dataset/564418" target="_blank">survival replacement tiles</a><br />
<a href="http://www.bco-dmo.org/dataset/564411" target="_blank">array information</a></p> Methods and Sampling: <p><strong>Study site characteristics</strong></p>
<p>This study was conducted on reef flats within no-take marine protected areas (MPAs) adjacent to Votua, Vatuo-lailai, and Namada villages along the Coral Coast of Viti Levu, Fiji. These reserves are scattered along 11 km of fringing reef and are separated by ~3-8 km. The reserves have high coral cover (38-56%), low macroalgal cover (1-3%), and a high biomass and diversity of herbivorous fishes (Rasher, Hoey, and Hay 2013; Bonaldo and Hay 2014). The reef flats range from ~1-3 m deep at high tide, extend ~500-600 m from shore to the reef crest, and are typical of exposed reef flats occurring throughout Fjii.</p>
<p>Except during low tides in calm weather, waves push water over the reef front, and water then flows laterally across the reef flats to discharge through channels bisecting the flats. This creates a relatively predictable current direction at most locations.</p>
<p><strong>Distribution surveys</strong><br />
We characterized the spatial distribution of P. damicornis and S. hystrix in the reef flat MPAs of Namada, Vatuo-lailai, and Votua villages at two scales (August through October 2013). For our <a href="http://www.bco-dmo.org/dataset/564389" target="_blank">larger-scale survey</a>, we mapped each colony within 8 x 8 m plots (N=5, 5, and 10 for Namada, Vatuo-lailai, and Votua, respectively). Each plot was divided into 256 0.5 x 0.5 m cells and each coral &gt;1 cm across mapped into a cell. The location of each survey plot was determined by randomly choosing a point on shore, swimming 100, 200, or 300 kicks directly away from shore at that point, and surveying the closest bommie large enough to fill more than three quarters of an 8 x 8 m plot. In four of 10 surveys at Votua and in all five surveys at Vatuo-lailai and Namada, we also measured the largest diameter of each P. damicornis colony. We did not measure S. hystrix colony size because individual colonies were more frequently discontinuous. To avoid confounding biotically-driven spatial distribution with patterns caused by patchiness of suitable substrate, we also recorded which&nbsp;cells were comprised primarily of unsuitable habitats such as sand-scoured pools or channels and bommie tops covered in rubble.</p>
<p>We analyzed these data using the neighborhood density function O(r) in the point pattern analysis program Programita (Wiegand and Moloney 2004). This analysis identifies distances at which individuals are aggregated, randomly spaced, or overdispersed compared to a specified null model. Unlike the more frequently used Ripley’s K(r) statistic, each distance category is not affected by those inside it; expected aggregation at each distance is compared to the observed value independently of nearer distances. Each concentric ring centered on an individual coral is separately placed on the aggregated-overdispersed continuum and displays the spatial pattern within a different distance category. Ring width was 0.5 m extending up to 4 m. The null model for this analysis was complete spatial randomness (CSR). Because the variance in substrate types violated CSR’s assumption of uniform likelihood of coral placement, we conducted the below analyses once using the entirety of all 8 x 8 m plots and a second time excluding cells of unsuitable habitat (which should better meet CSR’s assumption of uniform likelihood).</p>
<p>To determine whether the observed spatial pattern was random, significantly aggregated, or overdispersed, Programita simulated placement of each plot’s colonies 999 times using CSR, calculated O(r) for each simulation, then combined replicate O(r)’s from each reef and from all three reefs. This generated a distribution of simulated O(r)’s from which we established the significance of the observed spatial patterns. The distance(s) at which significant aggregation or overdispersion occurred were determined by the distances at which the observed pattern fell above or below the 95% simulation envelopes, respectively. This analysis does not parse aggregating and overdispering processes; it shows the net resulting pattern.</p>
<p>In addition to analyzing all P. damicornis and S. hystrix colonies, we analyzed P. damicornis &lt;5 cm, &gt;5 cm, &gt;10 cm, and &gt;15 cm in diameter to see if spatial patterns changed with colony size.</p>
<p>The &lt;5 cm and &gt;5 cm categories were mutually exclusive but because there were not enough colonies between 5 and 10 cm and between 10 and 15 cm to analyze as mutually exclusive groups, larger size categories were subsets of smaller ones.</p>
<p>The 8 x 8 m quadrat surveys could not resolve spatial patterns below the cell size of 0.5 x 0.5 m, meaning that patterns occurring at less than 0.252 m could be undocumented. To determine the spatial distribution of P. damicornis and S. hystrix at smaller scales, we conducted 2 m radius circular surveys around focal P. damicornis and S. hystrix colonies that i) were the largest colony of that species within 4 m (to reduce the effects of conspecifics), and ii) occurred where &gt;75% of the substrate within 2 m was suitable habitat for P. damicornis and S. hystrix, again to equalize the likelihood of colonies occurring everywhere in the survey.</p>
<p>The distance to each surrounding (radial) P. damicornis and S. hystrix colony was the average of the distance to that colony’s near and far sides (N=45 focal colonies for P. damicornis around P. damicornis, 10 for S. hystrix around P. damicornis, and 24 each for P. damicornis and S. hystrix around S. hystrix). We analyzed radial colony counts in 10 cm concentric rings using a generalized linear mixed effects model with Poisson errors and the canonical log link function in R (lme4 package, Bates et al. 2013). Distance was a fixed effect and focal colony with distance nested inside was a random effect, with the log10 of the ring sizes as an offset to control for unequal area sampled at each distance (i.e. ring area increased with distance from the focal colony). We repeated this analysis with just the closest 0.5 m and 1 m of the circles in case radial colonies beyond those distances were masking short-range effects of the focal colonies.</p>
<p>We also analyzed the P. damicornis data from the 8 x 8 m plots in the same manner as we did the circular surveys. To convert the plot data, an R script identified every surveyed P. damicornis colony &gt;2 m from all edges of its plot and equal to or larger than a specified diameter (either 15 or 20 cm) as a focal colony (N=38 and 19 focal colonies, respectively). In order to have an appreciable&nbsp;sample size, we did not restrict focal colonies to those that were the largest within 4 m. The script then calculated the distances to all P. damicornis colonies less than the specified diameter within 2 m and placed them into 10 cm concentric rings as above. We used generalized linear mixed effects models as described for the circular surveys.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0929119 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0929119
completed
Mark E. Hay
Georgia Institute of Technology
404-894-8429
School of Biology 310 Ferst Drive
Atlanta
GA
30332
mark.hay@biology.gatech.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
species_focal
village
survey
lat_approx
lon_approx
date
species_counted
focal_colony_dim
focal_colony_area
dist_foc_col_near
dist_foc_col_far
dist_foc_col_near_corr
dist_foc_col_far_corr
dist_foc_col_avg
dist_bin
flag_present
length_col
comments
theme
None, User defined
species scientific name (binomial)
site
sample identification
latitude
longitude
date
No BCO-DMO term
flag
length
comments
featureType
BCO-DMO Standard Parameters
Fiji_2013
service
Deployment Activity
Coral Coast of Viti Levu, Fiji
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.
Killer Seaweeds: Allelopathy against Fijian Corals
https://osprey.bco-dmo.org/project/480717
Killer Seaweeds: Allelopathy against Fijian Corals
<p><em>Extracted from the NSF award abstract:</em></p>
<p>Coral reefs are in dramatic global decline, with reefs commonly converting from species-rich and topographically-complex communities dominated by corals to species- poor and topographically-simplified communities dominated by seaweeds. These phase-shifts result in fundamental loss of ecosystem function. Despite debate about whether coral-to-algal transitions are commonly a primary cause, or simply a consequence, of coral mortality, rigorous field investigation of seaweed-coral competition has received limited attention. There is limited information on how the outcome of seaweed-coral competition varies among species or the relative importance of different competitive mechanisms in facilitating seaweed dominance. In an effort to address this topic, the PI will conduct field experiments in the tropical South Pacific (Fiji) to determine the effects of seaweeds on corals when in direct contact, which seaweeds are most damaging to corals, the role allelopathic lipids that are transferred via contact in producing these effects, the identity and surface concentrations of these metabolites, and the dynamic nature of seaweed metabolite production and coral response following contact. The herbivorous fishes most responsible for controlling allelopathic seaweeds will be identified, the roles of seaweed metabolites in allelopathy vs herbivore deterrence will be studied, and the potential for better managing and conserving critical reef herbivores so as to slow or reverse conversion of coral reef to seaweed meadows will be examined.</p>
<p>Preliminary results indicate that seaweeds may commonly damage corals via lipid- soluble allelochemicals. Such chemically-mediated interactions could kill or damage adult corals and produce the suppression of coral fecundity and recruitment noted by previous investigators and could precipitate positive feedback mechanisms making reef recovery increasingly unlikely as seaweed abundance increases. Chemically-mediated seaweed-coral competition may play a critical role in the degradation of present-day coral reefs. Increasing information on which seaweeds are most aggressive to corals and which herbivores best limit these seaweeds may prove useful in better managing reefs to facilitate resilience and possible recovery despite threats of global-scale stresses. Fiji is well positioned to rapidly use findings from this project for better management of reef resources because it has already erected >260 MPAs, Fijian villagers have already bought-in to the value of MPAs, and the Fiji Locally-Managed Marine Area (FLMMA) Network is well organized to get information to villagers in a culturally sensitive and useful manner.</p>
<p>The broader impacts of this project are far reaching. The project provides training opportunities for 2-2.5 Ph.D students and 1 undergraduate student each year in the interdisciplinary areas of marine ecology, marine conservation, and marine chemical ecology. Findings from this project will be immediately integrated into classes at Ga Tech and made available throughout Fiji via a foundation and web site that have already set-up to support marine conservation efforts in Fiji and marine education efforts both within Fiji and internationally. Business and community leaders from Atlanta (via Rotary International Service efforts) have been recruited to help organize and fund community service and outreach projects in Fiji -- several of which are likely to involve marine conservation and education based in part on these efforts there. Media outlets (National Geographic, NPR, Animal Planet, Audubon Magazine, etc.) and local Rotary clubs will be used to better disseminate these discoveries to the public.</p>
<p>PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH</p>
<p>Rasher DB, Stout EP, Engel S, Kubanek J, and ME Hay. "Macroalgal terpenes function as allelopathic agents against reef corals", Proceedings of the National Academy of Sciences, v. 108, 2011, p. 17726.</p>
<p>Beattie AJ, ME Hay, B Magnusson, R de Nys, J Smeathers, JFV Vincent. "Ecology and bioprospecting," Austral Ecology, v.36, 2011, p. 341.</p>
<p>Rasher DB and ME Hay. "Seaweed allelopathy degrades the resilience and function of coral reefs," Communicative and Integrative Biology, v.3, 2010.</p>
<p>Hay ME, Rasher DB. "Corals in crisis," The Scientist, v.24, 2010, p. 42.</p>
<p>Hay ME and DB Rasher. "Coral reefs in crisis: reversing the biotic death spiral," Faculty 1000 Biology Reports 2010, v.2, 2010.</p>
<p>Rasher DB and ME Hay. "Chemically rich seaweeds poison corals when not controlled by herbivores", Proceedings of the National Academy of Sciences, v.107, 2010, p. 9683.</p>
Killer Seaweeds
largerWorkCitation
project
eng; USA
biota
oceans
Coral Coast of Viti Levu, Fiji
177.62
177.713
-18.215
-18.191
2013-08-13
2013-10-09
Viti Levu, Fiji (18º13.049’S, 177º42.968’E)
0
BCO-DMO catalogue of parameters from Coral colony sizes and distribution on the Coral Coast of Viti Levu, Fiji in 2013 (Killer Seaweeds 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/564491.rdf
Name: species_focal
Units: unitless
Description: <p>species of interest</p>
http://lod.bco-dmo.org/id/dataset-parameter/564492.rdf
Name: village
Units: unitless
Description: <p>village name</p>
http://lod.bco-dmo.org/id/dataset-parameter/564493.rdf
Name: survey
Units: unitless
Description: <p>survey number or letter</p>
http://lod.bco-dmo.org/id/dataset-parameter/564494.rdf
Name: lat_approx
Units: decimal degrees
Description: <p>approximate latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/564495.rdf
Name: lon_approx
Units: decimal degrees
Description: <p>approximate longitude; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/564496.rdf
Name: date
Units: yyyy-mm-dd
Description: <p>survey date</p>
http://lod.bco-dmo.org/id/dataset-parameter/564497.rdf
Name: species_counted
Units: unitless
Description: <p>the species counted</p>
http://lod.bco-dmo.org/id/dataset-parameter/564498.rdf
Name: focal_colony_dim
Units: cm
Description: <p>focal colony dimensions</p>
http://lod.bco-dmo.org/id/dataset-parameter/564499.rdf
Name: focal_colony_area
Units: cm^2
Description: <p>focal colony area</p>
http://lod.bco-dmo.org/id/dataset-parameter/564500.rdf
Name: dist_foc_col_near
Units: cm
Description: <p>nearest distance from focal colony</p>
http://lod.bco-dmo.org/id/dataset-parameter/564501.rdf
Name: dist_foc_col_far
Units: cm
Description: <p>furthest distance from focal colony</p>
http://lod.bco-dmo.org/id/dataset-parameter/564502.rdf
Name: dist_foc_col_near_corr
Units: cm
Description: <p>nearest corrected distance from focal colony</p>
http://lod.bco-dmo.org/id/dataset-parameter/564503.rdf
Name: dist_foc_col_far_corr
Units: cm
Description: <p>furthest corrected distance from focal colony</p>
http://lod.bco-dmo.org/id/dataset-parameter/564504.rdf
Name: dist_foc_col_avg
Units: cm
Description: <p>average distance from focal colony</p>
http://lod.bco-dmo.org/id/dataset-parameter/564505.rdf
Name: dist_bin
Units: 10 cm bins
Description: <p>distance category</p>
http://lod.bco-dmo.org/id/dataset-parameter/564506.rdf
Name: flag_present
Units: unitless
Description: <p>present = 1; absent = 0</p>
http://lod.bco-dmo.org/id/dataset-parameter/564507.rdf
Name: length_col
Units: cm
Description: <p>colony length</p>
http://lod.bco-dmo.org/id/dataset-parameter/564508.rdf
Name: comments
Units: unitless
Description: <p>notes</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
277508
https://datadocs.bco-dmo.org/file/3YY3q4Li7gNVny/2m_circles.csv
2m_circles.csv
Primary data file for dataset ID 564397
download
https://osprey.bco-dmo.org/dataset/564397/data/download
download
onLine
dataset
<p><strong>Study site characteristics</strong></p>
<p>This study was conducted on reef flats within no-take marine protected areas (MPAs) adjacent to Votua, Vatuo-lailai, and Namada villages along the Coral Coast of Viti Levu, Fiji. These reserves are scattered along 11 km of fringing reef and are separated by ~3-8 km. The reserves have high coral cover (38-56%), low macroalgal cover (1-3%), and a high biomass and diversity of herbivorous fishes (Rasher, Hoey, and Hay 2013; Bonaldo and Hay 2014). The reef flats range from ~1-3 m deep at high tide, extend ~500-600 m from shore to the reef crest, and are typical of exposed reef flats occurring throughout Fjii.</p>
<p>Except during low tides in calm weather, waves push water over the reef front, and water then flows laterally across the reef flats to discharge through channels bisecting the flats. This creates a relatively predictable current direction at most locations.</p>
<p><strong>Distribution surveys</strong><br />
We characterized the spatial distribution of P. damicornis and S. hystrix in the reef flat MPAs of Namada, Vatuo-lailai, and Votua villages at two scales (August through October 2013). For our <a href="http://www.bco-dmo.org/dataset/564389" target="_blank">larger-scale survey</a>, we mapped each colony within 8 x 8 m plots (N=5, 5, and 10 for Namada, Vatuo-lailai, and Votua, respectively). Each plot was divided into 256 0.5 x 0.5 m cells and each coral &gt;1 cm across mapped into a cell. The location of each survey plot was determined by randomly choosing a point on shore, swimming 100, 200, or 300 kicks directly away from shore at that point, and surveying the closest bommie large enough to fill more than three quarters of an 8 x 8 m plot. In four of 10 surveys at Votua and in all five surveys at Vatuo-lailai and Namada, we also measured the largest diameter of each P. damicornis colony. We did not measure S. hystrix colony size because individual colonies were more frequently discontinuous. To avoid confounding biotically-driven spatial distribution with patterns caused by patchiness of suitable substrate, we also recorded which&nbsp;cells were comprised primarily of unsuitable habitats such as sand-scoured pools or channels and bommie tops covered in rubble.</p>
<p>We analyzed these data using the neighborhood density function O(r) in the point pattern analysis program Programita (Wiegand and Moloney 2004). This analysis identifies distances at which individuals are aggregated, randomly spaced, or overdispersed compared to a specified null model. Unlike the more frequently used Ripley’s K(r) statistic, each distance category is not affected by those inside it; expected aggregation at each distance is compared to the observed value independently of nearer distances. Each concentric ring centered on an individual coral is separately placed on the aggregated-overdispersed continuum and displays the spatial pattern within a different distance category. Ring width was 0.5 m extending up to 4 m. The null model for this analysis was complete spatial randomness (CSR). Because the variance in substrate types violated CSR’s assumption of uniform likelihood of coral placement, we conducted the below analyses once using the entirety of all 8 x 8 m plots and a second time excluding cells of unsuitable habitat (which should better meet CSR’s assumption of uniform likelihood).</p>
<p>To determine whether the observed spatial pattern was random, significantly aggregated, or overdispersed, Programita simulated placement of each plot’s colonies 999 times using CSR, calculated O(r) for each simulation, then combined replicate O(r)’s from each reef and from all three reefs. This generated a distribution of simulated O(r)’s from which we established the significance of the observed spatial patterns. The distance(s) at which significant aggregation or overdispersion occurred were determined by the distances at which the observed pattern fell above or below the 95% simulation envelopes, respectively. This analysis does not parse aggregating and overdispering processes; it shows the net resulting pattern.</p>
<p>In addition to analyzing all P. damicornis and S. hystrix colonies, we analyzed P. damicornis &lt;5 cm, &gt;5 cm, &gt;10 cm, and &gt;15 cm in diameter to see if spatial patterns changed with colony size.</p>
<p>The &lt;5 cm and &gt;5 cm categories were mutually exclusive but because there were not enough colonies between 5 and 10 cm and between 10 and 15 cm to analyze as mutually exclusive groups, larger size categories were subsets of smaller ones.</p>
<p>The 8 x 8 m quadrat surveys could not resolve spatial patterns below the cell size of 0.5 x 0.5 m, meaning that patterns occurring at less than 0.252 m could be undocumented. To determine the spatial distribution of P. damicornis and S. hystrix at smaller scales, we conducted 2 m radius circular surveys around focal P. damicornis and S. hystrix colonies that i) were the largest colony of that species within 4 m (to reduce the effects of conspecifics), and ii) occurred where &gt;75% of the substrate within 2 m was suitable habitat for P. damicornis and S. hystrix, again to equalize the likelihood of colonies occurring everywhere in the survey.</p>
<p>The distance to each surrounding (radial) P. damicornis and S. hystrix colony was the average of the distance to that colony’s near and far sides (N=45 focal colonies for P. damicornis around P. damicornis, 10 for S. hystrix around P. damicornis, and 24 each for P. damicornis and S. hystrix around S. hystrix). We analyzed radial colony counts in 10 cm concentric rings using a generalized linear mixed effects model with Poisson errors and the canonical log link function in R (lme4 package, Bates et al. 2013). Distance was a fixed effect and focal colony with distance nested inside was a random effect, with the log10 of the ring sizes as an offset to control for unequal area sampled at each distance (i.e. ring area increased with distance from the focal colony). We repeated this analysis with just the closest 0.5 m and 1 m of the circles in case radial colonies beyond those distances were masking short-range effects of the focal colonies.</p>
<p>We also analyzed the P. damicornis data from the 8 x 8 m plots in the same manner as we did the circular surveys. To convert the plot data, an R script identified every surveyed P. damicornis colony &gt;2 m from all edges of its plot and equal to or larger than a specified diameter (either 15 or 20 cm) as a focal colony (N=38 and 19 focal colonies, respectively). In order to have an appreciable&nbsp;sample size, we did not restrict focal colonies to those that were the largest within 4 m. The script then calculated the distances to all P. damicornis colonies less than the specified diameter within 2 m and placed them into 10 cm concentric rings as above. We used generalized linear mixed effects models as described for the circular surveys.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMMO Processing:</strong></p>
<p>- added conventional header with dataset name, PI name, version date<br />
- renamed parameters to BCO-DMO standard<br />
- reformatted date from m/d/yyyy to yyyy-mm-dd<br />
- replaced spaces with underscores<br />
- removed trailing blanks<br />
- sorted by species_focal, species_counted, village, survey, dist_foc_col_near<br />
- corrected lat 18.207 to -18.207<br />
- corrected the date 8/28/1930 to 8/28/2013 (Votua 3)<br />
- corrected the date 9/21/2012 to 9/21/2013 (Namada 4)<br />
- moved contents notes from loc_in_quad to comment column and changed loc_in_quad to N/A<br />
- in P_dam_diameter column, replaced blank cells with N/A</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
Deployment: Fiji_2013
Fiji_2013
Hay_GaTech
shoreside
Fiji_2013
Mark E. Hay
Georgia Institute of Technology
Hay_GaTech
shoreside