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     data   graph     files  public Mean plot-level responses observed in an experiment conducted at Zeke's Island National
Estuarine Research Reserve where abundance of the seaweed Gracilaria vermiculophylla was
manipulated to assess impact on multiple ecosystem functions
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String For complete methodology, see Ramus et al., 2017
(doi:[10.1073/pnas.1700353114](\\"https://dx.doi.org/10.1073/pnas.1700353114\\")).
In summary:
The experiment was carried out on intertidal mud and sandflats located
within the Zeke\u2019s Island National Estuarine Research Reserve (33.95 N,
77.94 W), North Carolina, USA. We manipulated six densities (n = 8 per
treatment) of the nonnative seaweed Gracilaria vermiculophylla in 48 large 25
square meter\u00a0plots over a 10-month period. We selected three low-
intertidal flats spanning over 1 km in the reserve that differed in area, flow
regimes, Gracilaria cover, grain size, and proximity to the Spartina salt
marsh. The three flats represented the continuum of estuarine habitats where
Gracilaria naturally occurs in this area. We established the 48 plots along
the mean low water line at 5-m intervals by adding 3-m steel rebar 1.2 m into
the substrate at each plot-corner. Treatments were randomly assigned to the
plots to avoid potentially confounding small-scale effects of site (and all
plots had only few Diopatra tubes). Gracilaria was fixed in a plot with metal
'u-pegs'\u00a0(constructed from clothes hangers) by physically staking
handful-sized 'clumps'\u00a0of loose thalli to the sediment surface. Pegs were
flushed with the sediment surface to avoid above-surface experimental
artifacts. Our six treatments were based on the total number of pegs per 25
square meters\u00a0(arranged in squared grids) as follows: 0 (0\u00d70), 9
(3\u00d73), 36 (6\u00d76), 100 (10\u00d710), 225 (15\u00d715), and 400
(20\u00d720). Gracilaria was collected from nearby locations and added to
plots in the u-peg grids in August 2013. Treatments were maintained and
response variables quantified approximately monthly from September 2013 to
June 2014 (treatments were maintained and measured at total of 10 times). For
each plot visit we quantified the cover of Gracilaria (in 10 randomly placed
0.25 square meter\u00a0quadrats per plot) and seven ecosystem functions (see
next section for detail) before maintaining Gracilaria densities (by
replenishing u-pegs devoid of Gracilaria and manually removing Gracilaria from
control plots).

To examine the effect of Gracilaria on epifauna, we positioned a 0.25 square
meter\u00a0quadrat in the center of each plot and collected all Gracilaria and
its associated epifauna into a ziptop bag. In the laboratory, Gracilaria was
rinsed in freshwater and shaken for about 1 min to remove epifauna, which were
captured on a 500 micron sieve. Epifauna were identified and enumerated to
broad taxonomic groupings (typically family level) under a stereomicroscope
(~18x, Nikon SMZ800). For simplicity, all faunal data were standardized to
unit area. Taxonomic richness was rescaled to unit area using the species-area
relationship\u00a0and assuming a conservative value of 0.15 for z.

To quantify whether Gracilaria attenuates hydrodynamic forces, we used gypsum
dissolution blocks that dissolve at a rate proportional to water velocity and
thus represent an integrated proxy for tidal currents and wave exposure. We
created gypsum blocks as hemispheres (\u2300 = 6.5 cm) from dental plaster
(Die Keen, Heraeus Kalzer), covered on the bottom with two layers of
polyurethane to ensure that an equal surface area would be subject to
dissolution. Gypsum blocks were dried at 60 degrees C for a minimum of 24 h
before recording the initial mass and deploying one block flush with the
substrate surface in the center of each plot for 4 d. Following retrieval,
gypsum blocks were dried and reweighed, and the dissolution rate calculated as
grams of gypsum dissolved per day. Because lower dissolution rates indicate
greater flow reduction, dissolution rates were reflected using the equation
\u2013fi+max(fi), so that greater flow reduction corresponds with a positive
contribution to ecosystem functioning.

To examine the effect of Gracilaria on sediment stabilization, we marked all
corner poles at 20 cm above the substrate surface in August 2013. The distance
between the marking and substrate surface was measured with a ruler to the
nearest 0.5 cm at the end of each month. We calculated the monthly (30 d)
change in height in cm by subtracting the final from initial distance to the
substrate (using the average of the 4 corners per plot) and correcting for the
time interval between measurements. Accretion and erosion are represented as
positive and negative values, respectively.

To assess the effectiveness of Gracilaria as a nursery habitat for
commercially and recreationally important species, we sampled the entire plot
using a 1.2-m high \u00d7 6.7-m wide nylon seine net (The Fish Net Company,
Jonesville, LA; mesh size = 3.175 mm) during a falling tide. Upon completion
of a pass, we swiftly pulled the net taught, tilted it into a horizontal
position, and lifted it from the water into an adjacent boat (R/V Adelaide) in
a single motion. Organisms (greater than 1 cm) retained on the boat were
identified to the family-level and enumerated before being returned to the
water. Abundances were reported per unit area (dividing by 25 square meters)
and richness data were rescaled to unit area using the species\u2013area
relationship\u00a0and assuming a conservative value of 0.15 for z.

To quantify the effect of Gracilaria on decomposition processes, standing dead
Spartina stems were collected from adjacent salt marshes, washed, and dried at
60 degrees C for a minimum of 72 h (until no further weight loss). We pooled
multiple stems to achieve an initial mass of 7.0 +/-\u00a00.5 g and placed
them inside a mesh litter bag, which was closed and deployed on the sediment
surface in the center of each plot. Bags were retrieved just prior to the next
treatment maintenance. Remaining stem material was washed, dried, and weighed
and decomposition rate was reported as the mass lost in grams per month.

To simplify our analyses and remove temporal autocorrelation, we calculated
the average response of each function in each plot using the full 10 month
data set (48 plots sampled each month). At the end of the experiment we
measured four additional functions (months 8 through 10). Because we did not
have seasonal data for these responses they were excluded from the main
analysis of multifunction effects.

To sample benthic infauna, triplicate core samples (5-cm diameter, 15-cm
depth, volume = 294.5 cubic cm) were taken equidistant along a diagonal
transect of each plot on June 25, 2014. The three sediment core samples from
each plot were pooled into a ziptop bag. Upon return to the laboratory, the
content of each bag were drained and rinsed over a 1-mm mesh sieve to remove
fine sediments. Infauna retained on the sieve were preserved in 75% ethanol.
The 1-mm mesh-size was chosen to concentrate sampling efforts on juvenile and
early life stages of crustaceans, molluscs, and larger polychaete taxa.
Infauna were identified and enumerated under a stereomicroscope (~18x, Nikon
SMZ800) to families, and, in some cases, phyla. Infaunal data were
standardized and rescaled to unit volume (using the reciprocal of 0.8836 L and
a conservative z of 0.15) following the same methods described previously for
epifauna and nursery functions.

To evaluate the effect of Gracilaria on ray foraging activity, we counted the
number of ray holes in each plot on 3 to 4 different days in a given month. We
here report the average number of ray holes standardized to unit area (by
dividing by 25 square meters) during a given low tide on a single day.

To investigate the association of waterfowl with Gracilaria, we delimited the
48 plots into four sites based on spatial proximity (plots 1-12, 13-24, 25-36,
and 37-48) and surveyed all waterfowl activity occurring within a site
(containing 12 plots) for a 15-min period during low tide. Bird counts were
made through binoculars from our research vessel from a distance of about 100
m to avoid disturbances arising from our presence. We tallied the number of
birds initially present, and that became present, within the boundaries of
each plot during the observation period. After completing the 15-min
observation of a site, we moved to a new vantage point for observing the next
12 plots. Hence, by repeating this procedure at all sites, all 48 plots were
sampled with equivalent effort in a ~1 h period. Because measurements were
made on 1 to 3 different days in a given month, we present the average number
of birds tallied per unit area (by dividing by 25 square meters) per unit time
(by multiplying by 4; 15 min x 4 = 60 min = 1 h) of low tide.
attribute NC_GLOBAL awards_0_award_nid String 649744
attribute NC_GLOBAL awards_0_award_number String OCE-1445834
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1445834 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String David L. Garrison
attribute NC_GLOBAL awards_0_program_manager_nid String 50534
attribute NC_GLOBAL awards_1_award_nid String 715716
attribute NC_GLOBAL awards_1_award_number String OCE-1056980
attribute NC_GLOBAL awards_1_data_url String https://www.nsf.gov/awardsearch/showAward?AWD_ID=1056980 (external link)
attribute NC_GLOBAL awards_1_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_1_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_1_funding_source_nid String 355
attribute NC_GLOBAL awards_1_program_manager String David L. Garrison
attribute NC_GLOBAL awards_1_program_manager_nid String 50534
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Mean plot-level responses
PI: Brian R. Silliman (Duke)
Co-PI: Aaron Ramus (UNCW)
Version: 05 October 2017
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2017-10-05T17:58:01Z
attribute NC_GLOBAL date_modified String 2019-08-02T13:32:07Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.716208.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/716208 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Epifauna were identified and enumerated to broad taxonomic groupings (typically family level) under a stereomicroscope (~18x, Nikon SMZ800).
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 716402
attribute NC_GLOBAL instruments_0_description String Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB05/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Microscope-Optical
attribute NC_GLOBAL instruments_0_instrument_nid String 708
attribute NC_GLOBAL instruments_0_supplied_name String stereomicroscope
attribute NC_GLOBAL instruments_1_acronym String Scale
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 716416
attribute NC_GLOBAL instruments_1_description String An instrument used to measure weight or mass.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB13/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Scale
attribute NC_GLOBAL instruments_1_instrument_nid String 714
attribute NC_GLOBAL instruments_2_dataset_instrument_description String To assess the effectiveness of Gracilaria as a nursery habitat for commercially and recreationally important species, we sampled the entire plot using a 1.2-m high × 6.7-m wide nylon seine net (The Fish Net Company, Jonesville, LA; mesh size = 3.175 mm) during a falling tide. Upon completion of a pass, we swiftly pulled the net taught, tilted it into a horizontal position, and lifted it from the water into an adjacent boat (R\V Adelaide) in a single motion.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 716414
attribute NC_GLOBAL instruments_2_description String A seine net is a very long net, with or without a bag in the centre, which is set either from the shore or from a boat for surrounding a certain area and is operated with two (long) ropes fixed to its ends (for hauling and herding the fish).

Seine nets are operated both in inland and in marine waters. The surrounded and catching area depends on the length of the seine and of the hauling lines.

(definition from: fao.org)
attribute NC_GLOBAL instruments_2_instrument_name String Seine Net
attribute NC_GLOBAL instruments_2_instrument_nid String 716403
attribute NC_GLOBAL instruments_2_supplied_name String seine net
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, dcmp, dmo, dsln, DslnFlip, epi, EpiRich, erddap, flip, gcvr, infa, Infa_sr, InfaRich_sr, management, nrsy, NrsyRich, oceanography, office, peg, plot, preliminary, rays, Rays_sr, RaysFlip_sr, rich, sed, trt, TrtPeg, wfwl, Wfwl_sr
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/716208/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/716208 (external link)
attribute NC_GLOBAL param_mapping String {'716208': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/716208/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String Duke University
attribute NC_GLOBAL people_0_person_name String Brian Silliman
attribute NC_GLOBAL people_0_person_nid String 552219
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of North Carolina - Wilmington
attribute NC_GLOBAL people_1_affiliation_acronym String UNC-Wilmington
attribute NC_GLOBAL people_1_person_name String Aaron Ramus
attribute NC_GLOBAL people_1_person_nid String 716220
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Shannon Rauch
attribute NC_GLOBAL people_2_person_nid String 51498
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String small grazers facilitating fungal disease
attribute NC_GLOBAL projects_0_acronym String small grazers facilitating fungal disease
attribute NC_GLOBAL projects_0_description String In terrestrial communities, grazer-facilitation of fungal disease in plants has been studied for over a century. Despite the prevalence of this interaction in terrestrial systems, it was not considered relevant to the structure of marine plant communities until the investigator's recent work in salt marshes. By manipulating both grazer and fungal presence, he demonstrated that snail grazing and subsequent fungal infection in live grass led to drastic reductions in plant growth and, at high grazer densities, destruction of canopy. If grazer promotion of fungal disease in marine plants is not limited to marshes (as suggested by preliminary data from a world-wide survey of 4 marine plant ecosystems) then small grazers that take small bites out of plants could be exerting similarly strong, but undetected control over marine plants globally. In addition, since physical stress commonly reduces plant immune responses, intensifying multiple stressors associated with marine global change could intensify and destabilize these unstudied grazer-disease-plant interactions. To test the global generality of this potentially keystone ecological interaction, this project will answer the following questions with a combination of multi-site surveys and manipulations across 4 ecosystems spanning 2 continents: 1) Is grazer facilitation of fungal disease in marine plants a common but overlooked interaction? 2) What is the resultant impact of grazer-facilitated fungal infection on marine plant growth? 3) How do multiple stressors impact the strength of grazer facilitation of fungal disease in marine plants? The work represents a transformative step forward in our understanding of plant-grazer interactions in marine ecosystems as it fills a > 100-year intellectual gap in our understanding of top-down control in marine plant ecosystems: Do small grazers commonly facilitate fungal disease in marine plants and does this interaction suppress plant growth?
Evidence for this cryptic, yet powerful mechanism of grazer regulation of marine plants will compel marine ecologists to reevaluate our understanding of top-down control and lead to widespread integration of disease dynamics in marine food web ecology.
The consequences of marine plant ecosystem health are far-reaching for humans, since these communities provide many essential services. Results from this study will allow managers to better predict effects of disease and global change on marine plant systems and formulate effective strategies for conservation. To help integrate plant disease dynamics into marine ecology and conservation, the investigator will: (1) produce an edited volume on Food Webs and Disease in Marine Ecosystems and (2) work closely with The Nature Conservancy to incorporate findings into their global marine learning exchanges. In addition, an integrated educational plan will increase student: (1) understanding of disease and food web dynamics in marine ecosystems and (2) consideration of marine science careers.
attribute NC_GLOBAL projects_0_end_date String 2017-03
attribute NC_GLOBAL projects_0_geolocation String Coastal Plant Ecosystems in North and South America.
attribute NC_GLOBAL projects_0_name String Small Grazers, Multiple Stressors and the Proliferation of Fungal Disease in Marine Plant Ecosystems
attribute NC_GLOBAL projects_0_project_nid String 649745
attribute NC_GLOBAL projects_0_start_date String 2014-01
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String These data represent the time-averaged value of each variable measured monthly in each plot over the course of a 10 month experiment carried out on intertidal mud and sandflats located within the Zeke\u2019s Island National Estuarine Research Reserve (33.95 N, 77.94 W), North Carolina, USA.
attribute NC_GLOBAL title String Mean plot-level responses observed in an experiment conducted at Zeke's Island National Estuarine Research Reserve where abundance of the seaweed Gracilaria vermiculophylla was manipulated to assess impact on multiple ecosystem functions
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Plot   byte  
attribute Plot _FillValue byte 127
attribute Plot actual_range byte 1, 48
attribute Plot bcodmo_name String site
attribute Plot description String The experimental plot, numbered from West to East
attribute Plot long_name String Plot
attribute Plot units String unitless
variable TrtPeg   short  
attribute TrtPeg _FillValue short 32767
attribute TrtPeg actual_range short 0, 400
attribute TrtPeg bcodmo_name String treatment
attribute TrtPeg description String The density treatment in total number of u-pegs assigned to each plot
attribute TrtPeg long_name String Trt Peg
attribute TrtPeg units String unitless (count)
variable Gcvr   double  
attribute Gcvr _FillValue double NaN
attribute Gcvr actual_range double 0.0, 71.6
attribute Gcvr bcodmo_name String cover_pcent
attribute Gcvr description String The average Gracilaria cover (%) maintained in each plot over the course of the experiment
attribute Gcvr long_name String GCVR
attribute Gcvr units String unitless (percent)
variable Epi   double  
attribute Epi _FillValue double NaN
attribute Epi actual_range double 0.0, 372.0
attribute Epi bcodmo_name String abundance
attribute Epi description String Mean abundance of epifauna
attribute Epi long_name String Epi
attribute Epi nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute Epi units String number per square meter (# m^-2)
variable EpiRich   double  
attribute EpiRich _FillValue double NaN
attribute EpiRich actual_range double 0.0, 7.756209804
attribute EpiRich bcodmo_name String abundance
attribute EpiRich description String Mean richness of epifauna taxa
attribute EpiRich long_name String Epi Rich
attribute EpiRich nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute EpiRich units String taxa per square meter (taxa m^-2)
variable Dsln   double  
attribute Dsln _FillValue double NaN
attribute Dsln actual_range double 6.832777778, 10.24375
attribute Dsln bcodmo_name String unknown
attribute Dsln description String Mean chalk dissolution expressed as mass lost in grams per day
attribute Dsln long_name String DSLN
attribute Dsln units String grams per day (g d^-1)
variable DslnFlip   double  
attribute DslnFlip _FillValue double NaN
attribute DslnFlip actual_range double 4.27375, 7.684722222
attribute DslnFlip bcodmo_name String unknown
attribute DslnFlip description String Mean reflected chalk dissolution; calculated as an intermediate step and intended to be standardized on a scale of 0-1 when used in any analysis.
attribute DslnFlip long_name String Dsln Flip
attribute DslnFlip units String grams per day (g d^-1)
variable Sed   double  
attribute Sed _FillValue double NaN
attribute Sed actual_range double -0.434583226, 1.016394
attribute Sed bcodmo_name String unknown
attribute Sed description String Mean sediment stabilization expressed as the change in height in cm per month
attribute Sed long_name String Sed
attribute Sed units String centimeters per month (cm mo^-1)
variable Nrsy   double  
attribute Nrsy _FillValue double NaN
attribute Nrsy actual_range double 0.182857143, 11.325
attribute Nrsy bcodmo_name String abundance
attribute Nrsy description String Mean abundance of nursery species
attribute Nrsy long_name String NRSY
attribute Nrsy nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute Nrsy units String number per square meter (# m^-2)
variable NrsyRich   double  
attribute NrsyRich _FillValue double NaN
attribute NrsyRich actual_range double 0.771292328, 2.115544672
attribute NrsyRich bcodmo_name String abundance
attribute NrsyRich description String Mean richness of nursery taxa
attribute NrsyRich long_name String Nrsy Rich
attribute NrsyRich nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute NrsyRich units String taxa per square meter (taxa m^-2)
variable Dcmp   double  
attribute Dcmp _FillValue double NaN
attribute Dcmp actual_range double 0.818045676, 1.370524897
attribute Dcmp bcodmo_name String unknown
attribute Dcmp description String Mean decomposition of Spartina stems expressed as mass lost per month
attribute Dcmp long_name String DCMP
attribute Dcmp units String grams per month (g mo^-1)
variable Infa_sr   double  
attribute Infa_sr _FillValue double NaN
attribute Infa_sr actual_range double 4.526935265, 46.40108646
attribute Infa_sr bcodmo_name String abundance
attribute Infa_sr description String Mean abundance of infauna; the suffix "sr" denotes supporting responses only measured near the end of the experiment
attribute Infa_sr long_name String Infa Sr
attribute Infa_sr nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute Infa_sr units String number per liter (# L^-1)
variable InfaRich_sr   double  
attribute InfaRich_sr _FillValue double NaN
attribute InfaRich_sr actual_range double 1.018735978, 4.07494391
attribute InfaRich_sr bcodmo_name String abundance
attribute InfaRich_sr description String Mean richness of infauna taxa; the suffix "sr" denotes supporting responses only measured near the end of the experiment
attribute InfaRich_sr long_name String Infa Rich Sr
attribute InfaRich_sr nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute InfaRich_sr units String taxa per liter (taxa L^-1)
variable Rays_sr   double  
attribute Rays_sr _FillValue double NaN
attribute Rays_sr actual_range double 0.106666667, 0.613333333
attribute Rays_sr bcodmo_name String unknown
attribute Rays_sr description String Mean number of ray holes; the suffix "sr" denotes supporting responses only measured near the end of the experiment
attribute Rays_sr long_name String Rays Sr
attribute Rays_sr units String number per square meter per day (# m^-2 d^-1)
variable RaysFlip_sr   double  
attribute RaysFlip_sr _FillValue double NaN
attribute RaysFlip_sr actual_range double 0.0, 0.506666667
attribute RaysFlip_sr bcodmo_name String unknown
attribute RaysFlip_sr description String Reflected mean number of ray holes; the suffix "sr" denotes supporting responses only measured near the end of the experiment; calculated as an intermediate step and intended to be standardized on a scale of 0-1 when used in any analysis.
attribute RaysFlip_sr long_name String Rays Flip Sr
attribute RaysFlip_sr units String number per square meter per day (# m^-2 d^-1)
variable Wfwl_sr   double  
attribute Wfwl_sr _FillValue double NaN
attribute Wfwl_sr actual_range double 0.0, 0.433333333
attribute Wfwl_sr bcodmo_name String abundance
attribute Wfwl_sr description String Mean abundance of waterfowl; the suffix "sr" denotes supporting responses only measured near the end of the experiment
attribute Wfwl_sr long_name String WFWL SR
attribute Wfwl_sr nerc_identifier String https://vocab.nerc.ac.uk/collection/P03/current/B070/ (external link)
attribute Wfwl_sr units String number per square meter per hour (# m^-2 h^-1)

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