http://lod.bco-dmo.org/id/dataset/780092 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 2019-10-29 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina 2019-11-06 publication 2019-11-06 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2019-11-13 publication https://doi.org/10.1575/1912/bco-dmo.780092.1 F. Joel Fodrie 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: Fodrie, F. (2019) Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-11-06 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.780092.1 [access date] Dataset Description: &lt;p&gt;Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina.&lt;/p&gt; Methods and Sampling: For Table and Figure references below, see the document &quot;SquidpopAssay_statistical_analysis.pdf&quot; in the Supplemental Files section. Study Site Selection We conducted our study across eight discrete seagrass meadows (hereafter referred to as landscapes) located in Back Sound, North Carolina (NC), USA (3442′ N to 3439′ N, 7637′ W to 7631′ W) (Fig. S1). All of our sampled landscapes were composed of a mixture of Back Sound's dominant seagrasses: eelgrass and shoal grass, Halodule wrightii (Ascherson 1868) (Yeager et al. 2016). Landscapes were chosen based upon available aerial imagery in Google Earth Pro as of February 19, 2017, and ground-truthed for changes in seasonal seagrass growth/senescence using summer, 2017, drone photography and ImageJ 1.x (Schneider et al. 2012). No discernable differences in landscape fragmentation states (e.g. total area, number of patches) were found between the two aerial imagery sources. All landscapes were relatively shallow (1-1.5 m depth at high tide), reasonably isolated from other seagrass beds (distance to nearest seagrass meadow = 112 17 m [mean standard error]) and were appropriately sized to encompass short-term (e.g., daily, monthly) movements of common seagrass-associated fauna in this system (Yeager et al. 2016). We identified similarly sized landscapes (25882 6592 m2) available in Back Sound by defining the minimum convex polygon surrounding the seagrass meadow, regardless of the total seagrass cover within the polygon. Among eight candidate landscapes of similar size, we defined four continuous landscapes and four fragmented landscapes based on the number of patches, the perimeter-to-area ratio, and the largest patch's percent cover of the total seagrass area (Table 1). Seagrass fragmentation is often naturally coupled with habitat loss (Wilcove et al. 1986), resulting in the mean seagrass area of our fragmented landscapes being nearly half that of our continuous landscapes (Table 1). Thus, our experiment was designed to examine the effects of fragmentation (i.e., the breaking apart of habitat concomitant with habitat loss) rather than fragmentation per se (i.e., the breaking apart of habitat without habitat loss; sensu Fahrig 2003). Squidpop Assays Squidpops were also used to measure relative &quot;depredation&quot; across landscapes (acknowledging that a combination of predation and scavenging may account for observed loss patterns). Squidpops are 1-cm 1-cm squares of dried squid mantle tied to 1-cm segments of 12-lbs test monofilament (Duffy et al. 2015). We attached squidpops to 60-cm long, 0.5-cm diameter, fiberglass stakes. Twenty squidpops were deployed (stakes pushed 50 cm into the sediment to prevent squidpop tangling in seagrass or burial in sediment) within each of the eight landscapes per assay date during July and August (July 5, July 13, July 26, August 8, and August 30). Within each landscape, 10 squidpops were haphazardly placed within seagrass edges, defined as 30 cm (a crab tether length) from the seagrass-mudflat interface. The other 10 squidpops were haphazardly placed in seagrass interiors, defined as ≥1 m from the seagrass-mudflat interface. Only patches with a radius of 1 m or larger were used for squidpops classified as 'interior'. However, patches with a radius of &lt;1 m were used for a portion of our 'edge' squidpops. All squidpops were placed at least 1 m apart. A total of 720 squidpops were deployed (Table S1). Squidpop depredation assays did not occur in June due to lack of dried squid availability. During the first two squidpop deployment cycles we checked squidpop status (present, absent/eaten) at 1 h and 24 h. We observed nearly 100% squidpop removal by 24 h, so for the remaining three deployment cycles we performed status checks at 1 h and 2 h. Point measurements of water temperature (C) were taken in each landscape at the location and time of all squidpop assays hand-held thermometers (Table S1). We chose temperature as our seasonality proxy (Fig. S2) because several other seasonally affected factors including faunal densities correlate with water temperature variability. Additionally, the measurement of temperature is easy, cheap, reliable, and comparable to previous studies. Equipment: Dried squid mantel: whole dried squid from Asian food market Tether materials: EcoStakes – tomato plant stakes 12-lbs test monofilament fishing line Pool noodles – cut into rounds for tether relocation floats Hand-held digital thermometer- LYNCH Waterproof thermometer 39240 Hand-held refractometer-VEE GEE STX-3 Salinity 0-100%o Hand-held Garmin GPSmap 78 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 asNeeded Dataset Version: 1 Unknown Date SiteID C_F lat lon percent_sg_cov AirTemp_C WaterTemp_C Salinity_PSU Depth_m HighTide LowTide TimeInFromHigh Tide Bobber_Num E_I TimeIn TimeOut hr1 hr2 hr24 ISO_DateTime_UTC_In Notes Hand-held Garmin GPSmap 78 VEE GEE STX-3 LYNCH Waterproof thermometer 39240 theme None, User defined date site description latitude longitude percent coverage air temperature water temperature at measurement depth salinity depth_w time_local time_elapsed deployment number flag ISO_DateTime_UTC comments featureType BCO-DMO Standard Parameters GPS receiver Refractometer Thermometer 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 oceans -76.587826 -76.526267 34.651056 34.703251 2017-07-05 2017-08-31 North Carolina 0 BCO-DMO catalogue of parameters from Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina 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/781073.rdf Name: Date Units: unitless Description: <p>Date tethered crab deployed in ISO 8601 format yyyy-mm-dd</p> http://lod.bco-dmo.org/id/dataset-parameter/781074.rdf Name: SiteID Units: unitless Description: <p>Name of seagrass bed in which tether was deployed</p> http://lod.bco-dmo.org/id/dataset-parameter/781075.rdf Name: C_F Units: unitless Description: <p>Fragmentation state of seagrass bed: C = Continuous, F = Fragmented</p> http://lod.bco-dmo.org/id/dataset-parameter/781076.rdf Name: lat Units: decimal degrees Description: <p>Latitude</p> http://lod.bco-dmo.org/id/dataset-parameter/781077.rdf Name: lon Units: decimal degrees Description: <p>Longitude</p> http://lod.bco-dmo.org/id/dataset-parameter/781078.rdf Name: percent_sg_cov Units: dimensionless Description: <p>Percent/100 cover of seagrass with the minimum convex polygon surrounding the seagrass meadow</p> http://lod.bco-dmo.org/id/dataset-parameter/781079.rdf Name: AirTemp_C Units: degrees Celsius (C) Description: <p>Air temperature at time and place of tether deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/781080.rdf Name: WaterTemp_C Units: degrees Celsius (C) Description: <p>Water temperature at time and place of tether deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/781081.rdf Name: Salinity_PSU Units: Practical Salinity Units (PSU) Description: <p>Salinity of water at time and place of tether deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/781082.rdf Name: Depth_m Units: meters (m) Description: <p>Depth of water at time and place of tether deployment</p> http://lod.bco-dmo.org/id/dataset-parameter/781083.rdf Name: HighTide Units: unitless Description: <p>Time of high tide at place of tether deployment [EDT][GMT-4h] in format h:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/781084.rdf Name: LowTide Units: unitless Description: <p>Time of low tide at place of tether deployment [EDT][GMT-4h] in format h:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/781085.rdf Name: TimeInFromHigh Units: unitless Description: <p>At time of tether deployment, time passed since high tide in format h:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/781086.rdf Name: Tide Units: unitless Description: <p>At time of tether deployment, ebb or flow tide</p> http://lod.bco-dmo.org/id/dataset-parameter/781087.rdf Name: Bobber_Num Units: per individual Description: <p>Individual ID number of tether (numbers may be repeated across dates)</p> http://lod.bco-dmo.org/id/dataset-parameter/781088.rdf Name: E_I Units: unitless Description: <p>Position of tether deployment with seagrass bed; E = edge (≤0.3 m from seagrass/mudflat interface), I = Interior (&gt;1 m from seagrass/mudflat interface)</p> http://lod.bco-dmo.org/id/dataset-parameter/781089.rdf Name: TimeIn Units: unitless Description: <p>Local time of tether deployment [EDT][GMT-4h] in format h:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/781090.rdf Name: TimeOut Units: unitless Description: <p>Local time of tether removal [EDT][GMT-4h] in format h:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/781091.rdf Name: hr1 Units: unitless Description: <p>Status of squidpop on tether at 1 hour from deployment time; 1 = present, 0 = absent</p> http://lod.bco-dmo.org/id/dataset-parameter/781092.rdf Name: hr2 Units: unitless Description: <p>Status of squidpop on tether at 2 hours from deployment time; 1 = present, 0 = absent</p> http://lod.bco-dmo.org/id/dataset-parameter/781093.rdf Name: hr24 Units: unitless Description: <p>Status of squidpop on tether at 24 hours from deployment time; 1 = present, 0 = absent</p> http://lod.bco-dmo.org/id/dataset-parameter/781094.rdf Name: ISO_DateTime_UTC_In Units: unitless Description: <p>Date Time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ</p> http://lod.bco-dmo.org/id/dataset-parameter/781095.rdf Name: Notes Units: unitless Description: <p>Notes relevant to individual tether</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 96706 https://darchive.mblwhoilibrary.org/bitstream/1912/24820/1/dataset-780092_squidpop-assay__v1.tsv download https://doi.org/10.1575/1912/bco-dmo.780092.1 download onLine dataset For Table and Figure references below, see the document &quot;SquidpopAssay_statistical_analysis.pdf&quot; in the Supplemental Files section. Study Site Selection We conducted our study across eight discrete seagrass meadows (hereafter referred to as landscapes) located in Back Sound, North Carolina (NC), USA (3442′ N to 3439′ N, 7637′ W to 7631′ W) (Fig. S1). All of our sampled landscapes were composed of a mixture of Back Sound's dominant seagrasses: eelgrass and shoal grass, Halodule wrightii (Ascherson 1868) (Yeager et al. 2016). Landscapes were chosen based upon available aerial imagery in Google Earth Pro as of February 19, 2017, and ground-truthed for changes in seasonal seagrass growth/senescence using summer, 2017, drone photography and ImageJ 1.x (Schneider et al. 2012). No discernable differences in landscape fragmentation states (e.g. total area, number of patches) were found between the two aerial imagery sources. All landscapes were relatively shallow (1-1.5 m depth at high tide), reasonably isolated from other seagrass beds (distance to nearest seagrass meadow = 112 17 m [mean standard error]) and were appropriately sized to encompass short-term (e.g., daily, monthly) movements of common seagrass-associated fauna in this system (Yeager et al. 2016). We identified similarly sized landscapes (25882 6592 m2) available in Back Sound by defining the minimum convex polygon surrounding the seagrass meadow, regardless of the total seagrass cover within the polygon. Among eight candidate landscapes of similar size, we defined four continuous landscapes and four fragmented landscapes based on the number of patches, the perimeter-to-area ratio, and the largest patch's percent cover of the total seagrass area (Table 1). Seagrass fragmentation is often naturally coupled with habitat loss (Wilcove et al. 1986), resulting in the mean seagrass area of our fragmented landscapes being nearly half that of our continuous landscapes (Table 1). Thus, our experiment was designed to examine the effects of fragmentation (i.e., the breaking apart of habitat concomitant with habitat loss) rather than fragmentation per se (i.e., the breaking apart of habitat without habitat loss; sensu Fahrig 2003). Squidpop Assays Squidpops were also used to measure relative &quot;depredation&quot; across landscapes (acknowledging that a combination of predation and scavenging may account for observed loss patterns). Squidpops are 1-cm 1-cm squares of dried squid mantle tied to 1-cm segments of 12-lbs test monofilament (Duffy et al. 2015). We attached squidpops to 60-cm long, 0.5-cm diameter, fiberglass stakes. Twenty squidpops were deployed (stakes pushed 50 cm into the sediment to prevent squidpop tangling in seagrass or burial in sediment) within each of the eight landscapes per assay date during July and August (July 5, July 13, July 26, August 8, and August 30). Within each landscape, 10 squidpops were haphazardly placed within seagrass edges, defined as 30 cm (a crab tether length) from the seagrass-mudflat interface. The other 10 squidpops were haphazardly placed in seagrass interiors, defined as ≥1 m from the seagrass-mudflat interface. Only patches with a radius of 1 m or larger were used for squidpops classified as 'interior'. However, patches with a radius of &lt;1 m were used for a portion of our 'edge' squidpops. All squidpops were placed at least 1 m apart. A total of 720 squidpops were deployed (Table S1). Squidpop depredation assays did not occur in June due to lack of dried squid availability. During the first two squidpop deployment cycles we checked squidpop status (present, absent/eaten) at 1 h and 24 h. We observed nearly 100% squidpop removal by 24 h, so for the remaining three deployment cycles we performed status checks at 1 h and 2 h. Point measurements of water temperature (C) were taken in each landscape at the location and time of all squidpop assays hand-held thermometers (Table S1). We chose temperature as our seasonality proxy (Fig. S2) because several other seasonally affected factors including faunal densities correlate with water temperature variability. Additionally, the measurement of temperature is easy, cheap, reliable, and comparable to previous studies. Equipment: Dried squid mantel: whole dried squid from Asian food market Tether materials: EcoStakes – tomato plant stakes 12-lbs test monofilament fishing line Pool noodles – cut into rounds for tether relocation floats Hand-held digital thermometer- LYNCH Waterproof thermometer 39240 Hand-held refractometer-VEE GEE STX-3 Salinity 0-100%o Hand-held Garmin GPSmap 78 Specified by the Principal Investigator(s) Data processing: All data were entered electronically into an Excel spreadsheet. BCO-DMO Data Manager Processing Notes: * exported submitted excel file to csv format * added a conventional header with dataset name, PI name, version date * modified parameter names to conform with BCO-DMO naming conventions * date format converted to ISO 8601 standard format yyyy-mm-dd * cells with just a period as a value replaced will no-data values. No-data values in this dataset are displayed as the missing data identifier &quot;nd&quot; for &quot;no data&quot; in the BCO-DMO system. * added ISO_DateTime_ISO_In from local date and time in columns. * commas in comments replaced with semicolons to support csv output 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 Hand-held Garmin GPSmap 78 Hand-held Garmin GPSmap 78 PI Supplied Instrument Name: Hand-held Garmin GPSmap 78 Instrument Name: GPS receiver Instrument Short Name: Instrument Description: Acquires satellite signals and tracks your location. This term has been deprecated. Use instead: https://www.bco-dmo.org/instrument/560 VEE GEE STX-3 VEE GEE STX-3 PI Supplied Instrument Name: VEE GEE STX-3 PI Supplied Instrument Description:Hand-held refractometer-VEE GEE STX-3 Salinity 0-100%o 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. LYNCH Waterproof thermometer 39240 LYNCH Waterproof thermometer 39240 PI Supplied Instrument Name: LYNCH Waterproof thermometer 39240 PI Supplied Instrument Description:Hand-held digital thermometer-  Instrument Name: Thermometer Instrument Short Name: Instrument Description: A device designed to measure temperature.