http://lod.bco-dmo.org/id/dataset/891794 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 2023-03-13 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Squidpop consumption probability within Artificial Seagrass Units (ASU) in Back Sound, NC from October to November 2018 2023-03-15 publication 2023-03-15 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2023-03-28 publication https://doi.org/10.26008/1912/bco-dmo.891794.1 F. Joel Fodrie University of North Carolina at Chapel Hill principalInvestigator Lauren Yeager University of Texas - Marine Science Institute principalInvestigator Cori Lopazanski University of North Carolina at Chapel Hill principalInvestigator Abigail K. Poray University of North Carolina at Chapel Hill principalInvestigator Amy Yarnall University of North Carolina at Chapel Hill 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: Yarnall, A., Fodrie, F. J., Lopazanski, C., Poray, A. K., Yeager, L. (2023) Squidpop consumption probability within Artificial Seagrass Units (ASU) in Back Sound, NC from October to November 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-03-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.891794.1 [access date] Methods and Sampling: &lt;p&gt;To measure generalist consumption probabilities across landscapes, we conducted two squidpop consumption assays on 19-Oct and 1-Nov 2018 on Oscar Shoal and an adjacent unnamed shoal in Back Sound, NC, USA (34°42′20&quot; N to 34°41′60&quot; N, 76°36′ 15&quot; W to 76°35′17&quot; W). Consumption assays were conducted after Hurricane Florence disturbed our landscapes (see below), prior to the seasonal egress of nekton from local seagrass meadows (Baillie et al., 2015). Squidpops are 1-centimeter × 1-centimeter squares of dried squid mantle tied to 1-centimeter segments of monofilament (Duffy et al., 2015). Squidpops were secured to 60-centimeter long, 0.5-centimeter diameter, fiberglass stakes with attached floats for relocation. On each assay date, up to 10 squidpops were deployed within ASUs in each landscape, 1 meter apart and less than 0.5 meters from the ASU-matrix interface (the edge of ASU patches), to control for potentially different consumption probabilities between seagrass patch edges and interiors (Mahoney et al., 2018). The number of squidpops deployed in each landscape [mean of 9.2 ± 1.8 SD] depended upon the length of the available edge. Squidpop presence/absence was checked after 1 hour, 2 hours, and 3 hours to retrospectively assess the timeframe in which overall consumption probabilities allowed for the resolution of differences in consumption among sites (i.e., between one- and two-thirds of all bait consumed). This threshold was met after 1 hour, therefore we focus our results on these data. All absent squidpops were presumed eaten based on previous efforts that have demonstrated negligible spurious bait loss (Lefcheck et al., 2021).&lt;/p&gt; &lt;p&gt;The study area and artificial landscapes were directly impacted by Hurricane Florence during 13-16 Sept 2018. Despite ASU re-enforcements made prior to Florence's landfall (i.e., additional lawn staples and cable ties), our landscapes experienced substantial disturbance akin to natural seagrasses in the vicinity, in many cases completely removing or burying ASUs which altered the landscape percent cover and fragmentation per se parameters. We recalculated landscape parameters based on ASU-by-ASU checks made after Hurricane Florence. Holding the original landscape 234-square meter footprint constant, the percent cover and percolation probability of each landscape was recalculated from the remaining number of ASUs (excluding buried ASUs).&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Issues:&lt;/strong&gt;&lt;br /&gt; Artificial seagrass landscapes were substantially altered by Hurricane Florence; therefore, landscape parameters were recalculated based on ASU-to-ASU checks. For the purposes of squidpop consumption analysis, buried ASUs were excluded from parameter calculations (as buried ASUs were not expected to influence above-ground fauna).&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635950 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1635950 completed F. Joel Fodrie University of North Carolina at Chapel Hill 252-726-6841 Institute of Marine Sciences & Department of Marine Sciences 3431 Arendell Street Morehead City NC 28557 USA jfodrie@unc.edu pointOfContact Lauren Yeager University of Texas - Marine Science Institute 750 Channel View Dr Port Aransas TX 78373 US laurenayeager@gmail.com pointOfContact Cori Lopazanski University of North Carolina at Chapel Hill Bren School of Environmental Science & Management, University of California Santa Barbara Santa Barbara CA USA cori.lopazanski@gmail.com pointOfContact Abigail K. Poray University of North Carolina at Chapel Hill Institute of Marine Sciences & Department of Marine Sciences 3431 Arendell Street Morehead City NC 28557 USA ab.poray@gmail.com pointOfContact Amy Yarnall University of North Carolina at Chapel Hill (601) 634-3772 Engineer Research Development Center, USACE 3909 Halls Ferry Rd. Vicksburg MS 39180 USA amyhyarnall@gmail.com pointOfContact asNeeded Dataset Version: 1 Unknown Site_ID Latitude Longitude Per_cov Frag Date Time_In Time_Check PostFlo_Per_Cov PostFlo_Frag N N_eaten WaterTemp_C Sal_PSU ExTech 39240 VeeGee STX-3 theme None, User defined Site_ID latitude longitude percent coverage No BCO-DMO term date time begin time_end number water temperature at measurement depth sea surface salinity featureType BCO-DMO Standard Parameters digital thermometer minnow trap Refractometer instrument BCO-DMO Standard Instruments 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. Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms https://osprey.bco-dmo.org/project/714026 Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms <p>Amount and quality of habitat is thought to be of fundamental importance to maintaining coastal marine ecosystems. This research will use large-scale field experiments to help understand how and why fish populations respond to fragmentation of seagrass habitats. The question is complex because increased fragmentation in seagrass beds decreases the amount and also the configuration of the habitat (one patch splits into many, patches become further apart, the amount of edge increases, etc). Previous work by the investigators in natural seagrass meadows provided evidence that fragmentation interacts with amount of habitat to influence the community dynamics of fishes in coastal marine landscapes. Specifically, fragmentation had no effect when the habitat was large, but had a negative effect when habitat was smaller. In this study, the investigators will build artificial seagrass habitat to use in a series of manipulative field experiments at an ambitious scale. The results will provide new, more specific information about how coastal fish community dynamics are affected by changes in overall amount and fragmentation of seagrass habitat, in concert with factors such as disturbance, larval dispersal, and wave energy. The project will support two early-career investigators, inform habitat conservation strategies for coastal management, and provide training opportunities for graduate and undergraduate students. The investigators plan to target students from underrepresented groups for the research opportunities.</p> <p>Building on previous research in seagrass environments, this research will conduct a series of field experiments approach at novel, yet relevant scales, to test how habitat area and fragmentation affect fish diversity and productivity. Specifically, 15 by 15-m seagrass beds will be created using artificial seagrass units (ASUs) that control for within-patch-level (~1-10 m2) factors such as shoot density and length. The investigators will employ ASUs to manipulate total habitat area and the degree of fragmentation within seagrass beds in a temperate estuary in North Carolina. In year one, response of the fishes that colonize these landscapes will be measured as abundance, biomass, community structure, as well as taxonomic and functional diversity. Targeted ASU removals will then follow to determine species-specific responses to habitat disturbance. In year two, the landscape array and sampling regime will be doubled, and half of the landscapes will be seeded with post-larval fish of low dispersal ability to test whether pre- or post-recruitment processes drive landscape-scale patterns. In year three, the role of wave exposure (a natural driver of seagrass fragmentation) in mediating fish community response to landscape configuration will be tested by deploying ASU meadows across low and high energy environments.</p> Habitat Fragmentation largerWorkCitation project eng; USA biota oceans -76.603 -76.589 34.702 34.707 2018-10-19 2018-11-01 North Carolina 0 BCO-DMO catalogue of parameters from Squidpop consumption probability within Artificial Seagrass Units (ASU) in Back Sound, NC from October to November 2018 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/892014.rdf Name: Site_ID Units: unitless Description: <p>Artificial seagrass unit (ASU) landscape name (Percent cover value-Percolation probability value)</p> http://lod.bco-dmo.org/id/dataset-parameter/892015.rdf Name: Latitude Units: decimal degrees Description: <p>Latitude North (South is negative) of sampling site</p> http://lod.bco-dmo.org/id/dataset-parameter/892016.rdf Name: Longitude Units: decimal degrees Description: <p>Longitude East (West is negative) of sampling site</p> http://lod.bco-dmo.org/id/dataset-parameter/892017.rdf Name: Per_cov Units: percent (%) Description: <p>Percent cover of ASUs in a 234 square meter landscape footprint (10, 22.5, 35, 47.5, 60)</p> http://lod.bco-dmo.org/id/dataset-parameter/892018.rdf Name: Frag Units: unitless Description: <p>ASU landscape fragmentation per se indexed by percolation probability (0.1, 0.225, 0.35, 0.475, 0.59)</p> http://lod.bco-dmo.org/id/dataset-parameter/892019.rdf Name: Date Units: unitless Description: <p>Date of squidpop assay</p> http://lod.bco-dmo.org/id/dataset-parameter/892020.rdf Name: Time_In Units: unitless Description: <p>Time of squidpop assay deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/892021.rdf Name: Time_Check Units: unitless Description: <p>Time of squidpop assay check</p> http://lod.bco-dmo.org/id/dataset-parameter/892022.rdf Name: PostFlo_Per_Cov Units: percent (%) Description: <p>ASU landscape percent cover after Hurricane Florence - including ASUs that are buried under sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/892023.rdf Name: PostFlo_Frag Units: unitless Description: <p>ASU landscape percolation probability after Hurricane Florence - including ASUs that are buried under sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/892024.rdf Name: N Units: unitless Description: <p>Number of squidpops deployed</p> http://lod.bco-dmo.org/id/dataset-parameter/892025.rdf Name: N_eaten Units: unitless Description: <p>Number of squidpops eaten at time of check</p> http://lod.bco-dmo.org/id/dataset-parameter/892026.rdf Name: WaterTemp_C Units: degrees C Description: <p>Surface water temperature at time of minnow trap deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/892027.rdf Name: Sal_PSU Units: PSU Description: <p>Surface salinity at time of minnow trap deployment</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 9927 https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/3f68d4f2-8f2c-4a14-816d-b44b11f37432/content download https://doi.org/10.26008/1912/bco-dmo.891794.1 download onLine dataset &lt;p&gt;To measure generalist consumption probabilities across landscapes, we conducted two squidpop consumption assays on 19-Oct and 1-Nov 2018 on Oscar Shoal and an adjacent unnamed shoal in Back Sound, NC, USA (34°42′20&quot; N to 34°41′60&quot; N, 76°36′ 15&quot; W to 76°35′17&quot; W). Consumption assays were conducted after Hurricane Florence disturbed our landscapes (see below), prior to the seasonal egress of nekton from local seagrass meadows (Baillie et al., 2015). Squidpops are 1-centimeter × 1-centimeter squares of dried squid mantle tied to 1-centimeter segments of monofilament (Duffy et al., 2015). Squidpops were secured to 60-centimeter long, 0.5-centimeter diameter, fiberglass stakes with attached floats for relocation. On each assay date, up to 10 squidpops were deployed within ASUs in each landscape, 1 meter apart and less than 0.5 meters from the ASU-matrix interface (the edge of ASU patches), to control for potentially different consumption probabilities between seagrass patch edges and interiors (Mahoney et al., 2018). The number of squidpops deployed in each landscape [mean of 9.2 ± 1.8 SD] depended upon the length of the available edge. Squidpop presence/absence was checked after 1 hour, 2 hours, and 3 hours to retrospectively assess the timeframe in which overall consumption probabilities allowed for the resolution of differences in consumption among sites (i.e., between one- and two-thirds of all bait consumed). This threshold was met after 1 hour, therefore we focus our results on these data. All absent squidpops were presumed eaten based on previous efforts that have demonstrated negligible spurious bait loss (Lefcheck et al., 2021).&lt;/p&gt; &lt;p&gt;The study area and artificial landscapes were directly impacted by Hurricane Florence during 13-16 Sept 2018. Despite ASU re-enforcements made prior to Florence's landfall (i.e., additional lawn staples and cable ties), our landscapes experienced substantial disturbance akin to natural seagrasses in the vicinity, in many cases completely removing or burying ASUs which altered the landscape percent cover and fragmentation per se parameters. We recalculated landscape parameters based on ASU-by-ASU checks made after Hurricane Florence. Holding the original landscape 234-square meter footprint constant, the percent cover and percolation probability of each landscape was recalculated from the remaining number of ASUs (excluding buried ASUs).&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Issues:&lt;/strong&gt;&lt;br /&gt; Artificial seagrass landscapes were substantially altered by Hurricane Florence; therefore, landscape parameters were recalculated based on ASU-to-ASU checks. For the purposes of squidpop consumption analysis, buried ASUs were excluded from parameter calculations (as buried ASUs were not expected to influence above-ground fauna).&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;All data were entered electronically into an Excel spreadsheet.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;BCO-DMO Processing Description:&lt;/strong&gt;&lt;br /&gt; - Missing data identifier ‘NA’ replaced with blank (BCO-DMO's default missing data identifier)&lt;br /&gt; - Added &quot;Latitude&quot; and &quot;Longitude&quot; columns and rounded to three decimal places&lt;br /&gt; - Removed &quot;%&quot; symbol from data cells&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; 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 ExTech 39240 ExTech 39240 PI Supplied Instrument Name: ExTech 39240 Instrument Name: digital thermometer Instrument Short Name: Instrument Description: An instrument that measures temperature digitally. PI Supplied Instrument Name: Instrument Name: minnow trap Instrument Short Name: Instrument Description: shore fishing gear VeeGee STX-3 VeeGee STX-3 PI Supplied Instrument Name: VeeGee STX-3 Instrument Name: Refractometer Instrument Short Name:Refractometer Instrument Description: A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation. In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.