http://lod.bco-dmo.org/id/dataset/780027 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) Fauna species count data from minnow trap sampling within seagrass 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.780027.1 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) Fauna species count data from minnow trap sampling within seagrass 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.780027.1 [access date] Dataset Description: &lt;p&gt;Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina.&lt;/p&gt; Methods and Sampling: For Table and Figure references below, see the document &quot;MinnowTrap_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). Seagrass-associated Fauna Sampling Seagrass-associated fauna were sampled to explore relationships between our observed predation/depredation rates and seasonal faunal densities within each fragmentation state. We sampled seagrass-associated fauna during each crab tethering cycle with four baited (with ~ 8 pieces of dried dog food; Mahoney et al. 2018) Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings) haphazardly deployed in each landscape. We acknowledge that baiting traps increases catch rates in our system and could bias the captured community toward predators and scavengers (our target community), yet this increase in catch rate seems to be uniform across seagrass habitat structure variables (Mahoney et al. 2018). At 24 h, faunae were enumerated, identified to the lowest taxonomical level possible, and released. Point measurements of water temperature (C) were taken in each landscape at the location and time of all faunal sampling using 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: * Generic brand dog food * Memphis and twine Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings) 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 MinnowTrap_Num Species Scientific_name Species_Num theme None, User defined date site site description latitude longitude replicate common_name taxon count featureType BCO-DMO Standard Parameters minnow trap 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 2017-06-10 2017-08-21 North Carolina 0 BCO-DMO catalogue of parameters from Fauna species count data from minnow trap sampling within seagrass 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/781023.rdf Name: Date Units: unitless Description: <p>Date minnow trap deployed (ISO 8601 format yyyy-mm-dd)</p> http://lod.bco-dmo.org/id/dataset-parameter/781024.rdf Name: SiteID Units: unitless Description: <p>Name of seagrass bed in which trap was deployed</p> http://lod.bco-dmo.org/id/dataset-parameter/781025.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/781026.rdf Name: lat Units: decimal degrees Description: <p>Latitude</p> http://lod.bco-dmo.org/id/dataset-parameter/781027.rdf Name: lon Units: decimal degrees Description: <p>Longitude</p> http://lod.bco-dmo.org/id/dataset-parameter/781028.rdf Name: MinnowTrap_Num Units: unitless Description: <p>Replicate number of minnow trap</p> http://lod.bco-dmo.org/id/dataset-parameter/781029.rdf Name: Species Units: unitless Description: <p>Common name of species caught</p> http://lod.bco-dmo.org/id/dataset-parameter/781030.rdf Name: Scientific_name Units: unitless Description: <p>Scientific name of species caught</p> http://lod.bco-dmo.org/id/dataset-parameter/781031.rdf Name: Species_Num Units: per individual Description: <p>Count number of individuals of a species caught in a minnow trap</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 26947 https://darchive.mblwhoilibrary.org/bitstream/1912/24822/1/dataset-780027_seagrass-fauna-counts__v1.tsv download https://doi.org/10.1575/1912/bco-dmo.780027.1 download onLine dataset For Table and Figure references below, see the document &quot;MinnowTrap_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). Seagrass-associated Fauna Sampling Seagrass-associated fauna were sampled to explore relationships between our observed predation/depredation rates and seasonal faunal densities within each fragmentation state. We sampled seagrass-associated fauna during each crab tethering cycle with four baited (with ~ 8 pieces of dried dog food; Mahoney et al. 2018) Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings) haphazardly deployed in each landscape. We acknowledge that baiting traps increases catch rates in our system and could bias the captured community toward predators and scavengers (our target community), yet this increase in catch rate seems to be uniform across seagrass habitat structure variables (Mahoney et al. 2018). At 24 h, faunae were enumerated, identified to the lowest taxonomical level possible, and released. Point measurements of water temperature (C) were taken in each landscape at the location and time of all faunal sampling using 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: * Generic brand dog food * Memphis and twine Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings) 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 * 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. * Taxonomic names checked with the World Register of Marine Species taxon matching tool on 2019-10-28. All names matched exactly to accepted names. 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 PI Supplied Instrument Name: PI Supplied Instrument Description:Memphis and twine Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings) Instrument Name: minnow trap Instrument Short Name: Instrument Description: shore fishing gear