Preliminary surveys of benthic cover before artificial reef construction in the Caribbean from 2014-2017

Website: https://www.bco-dmo.org/dataset/542703
Data Type: Other Field Results
Version: 2015-01-14

Project
» Fish aggregations and biogeochemical hot spots across regional environmental gradients (Fish and biogeochem hot spots)
ContributorsAffiliationRole
Layman, CraigNorth Carolina State University (NCSU)Principal Investigator
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Transect surveys enumerating seagrass, algal cover and benthic invertebrates were conducted at multiple sites in The Bahamas and Haiti in June 2014. The experiments utilized artificial reefs that mimic natural patch reef habitats, concentrating fishes at high densities.


Coverage

Spatial Extent: N:26.6062 E:-73.6051 S:18.08719 W:-78.51647
Temporal Extent: 2014 - 2017

Dataset Description

Transect surveys enumerating seagrass, algal cover and benthic invertebrates were conducted at multiple sites in The Bahamas and Haiti in June 2014. The experiments utilized artificial reefs that mimic natural patch reef habitats, concentrating fishes at high densities.


Methods & Sampling

Species of seagrass, algae, other benthic cover (e.g., sponge, coral) or invertebrate species were counted from 1 m^2 quadrats. For seagrasses, the number of seagrass shoots were counted within 10 x 10 cm quadrats placed randomly within the larger 1 m^2 quadrat. Percent coverage was the proportion of 1 m^2 quadrat covered by that species, as measured on the standard Braun-Blanquet scale:
<5% (1 individual) – 0.1
<5% (few individuals) – 0.5
<5% (many individuals) – 1
5-25% - 2
25-50% - 3
50-75% - 4
75-100% - 5
Benthic invertebrates such as sponges, molluscs and starfish were counted from the 1 m^2 quadrats.


Data Processing Description

BCO-DMO Processing:

version: 2015-01-14
- added lat/lon for site HH1

version: 2014-12-30
- added lat/lon for sites AC, HH, HL, MH, SC

version: 2014-12-08
- added conventional header with dataset name, PI name, version date
- renamed parameters to BCO-DMO standard
- added lab, lat, lon columns


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Data Files

File
benthic_cover_v3.csv
(Comma Separated Values (.csv), 349.47 KB)
MD5:07516435cc4fa2e116465f25379aa154
Primary data file for dataset ID 542703

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Parameters

ParameterDescriptionUnits
Thalassia_cnt1

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Thalassia_cnt2

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Thalassia_cnt3

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Thalassia_cnt4

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Syringodium_cnt1

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Syringodium_cnt2

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Syringodium_cnt3

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Syringodium_cnt4

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Halodule_cnt1

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Halodule_cnt2

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Halodule_cnt3

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Halodule_cnt4

seagrass shoots counted from within 10 x 10 cm quadrats

shoots
Thalassia_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Syringodium_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Halodule_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Halimeda_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Penicillus_all_other_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Rhipocephalus_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Udotea_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Penicillus_pyriformes_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Laurencia_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Acetabilaria_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Penicillus_dumetosus_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Caulerpa_sertularioides_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Caulerpa_racemosa_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Caulerpa_cupressoides_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Caulerpa_paspaloides_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Ventricaria_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Dictyota_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Dictyospaeria_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
green_turf_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Avrainvillea_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
red_turf_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Batophora_oerstedii_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
unknown_brown_sheet_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Ceramium_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Cladophoropsis_macromeres_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Cladophora_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Valonia_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Gelidium_sp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
unkown_brown_Cell_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Rosenvingea_spp_pcnt_cvr

seagrass percent cover from 1 m^2 quadrats

percent
Cyanobacteria_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
other_red_algae_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
bud_coral_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
Porites_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
rose_coral_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
Chalinula_molitba_sponge_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
other_sponge_pcnt_cvr

percent cover from 1 m^2 quadrats

percent
sea_biscuit_cnt

number counted from within 10 x 10 cm quadrats

individuals
razor_clam_cnt

number counted from within 10 x 10 cm quadrats

individuals
sea_urchin_cnt

number counted from within 10 x 10 cm quadrats

individuals
sea_cucumber_cnt

number counted from within 10 x 10 cm quadrats

individuals
sea_anemone_cnt

number counted from within 10 x 10 cm quadrats

individuals
queen_conch_cnt

number counted from within 10 x 10 cm quadrats

individuals
starfish_cnt

number counted from within 10 x 10 cm quadrats

individuals
other_Conch_Whelk_cnt

number counted from within 10 x 10 cm quadrats

individuals
Cassiopea_spp_cnt

number counted from within 10 x 10 cm quadrats

individuals
stone_crab_cnt

number counted from within 10 x 10 cm quadrats

individuals
large_hermit_crab_cnt

number counted from within 10 x 10 cm quadrats

individuals

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Deployments

Layman_2014

Website
Platform
Caribbean_nearshore
Start Date
2014-01-01
End Date
2014-11-30
Description
Coral reef surveys as part of the project "Fish aggregations and biogeochemical hot spots across regional environmental gradients".


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Project Information

Fish aggregations and biogeochemical hot spots across regional environmental gradients (Fish and biogeochem hot spots)

Coverage: Caribbean


Description from NSF award abstract:
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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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