http://lod.bco-dmo.org/id/dataset/864783
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
2021-11-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Log response ratios to seagrass edge and fragmentation effects from peer-reviewed literature
2021-12-01
publication
2021-12-01
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-12-02
publication
https://doi.org/10.26008/1912/bco-dmo.864783.1
F. Joel Fodrie
University of North Carolina at Chapel Hill
principalInvestigator
James E. Byers
University of Georgia
principalInvestigator
Lauren Yeager
University of Texas - Marine Science Institute
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., Byers, J. E., Yeager, L., Fodrie, F. J. (2021) Log response ratios to seagrass edge and fragmentation effects from peer-reviewed literature. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-12-01 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.864783.1 [access date]
Edge effects and fragmentation literature review Dataset Description: Methods and Sampling: <p><strong>Literature search and meta-analysis inclusion criteria</strong><br />
We conducted a search using the Institute of Science Information's (ISI) Web of Science (last accessed on May 13, 2021)&nbsp;to gather peer-reviewed literature examining edge effects and fragmentation effects on biogenic complexity, faunal densities, and predation in seagrass ecosystems. Search terms included 1) seagrass AND 2) edge effects OR fragmentation effects AND 3) density OR predation OR survival OR mortality OR trophic interactions. We supplemented this database with additional articles known to us. All candidate studies were judged for inclusion in our meta-analysis based on the following criteria: 1) The study was an original experiment in a mesocosm or natural setting providing edge effect data (i.e., responses in patch edges vs. interiors) or fragmentation effect data (i.e., responses in fragmented vs. continuous landscapes) for one or more of our response metrics of interest in extractable form (i.e., table, figure, or text). Response metrics were natural seagrass shoot density, faunal density, and predation survival. Initially, we considered several metrics of biogenic complexity because they may respond to habitat configuration differently, yet shoot density was ultimately chosen as it was the most common metric reported. Shoot density data were only extracted from studies also examining faunal response metrics, because we were interested in examining faunal-habitat relationships in the context of proximate (e.g., shoot density) and ultimate (e.g., edge, fragmentation) drivers. For faunal density responses, if data for “nested” taxonomic levels were provided (e.g., fish, flounder), we extracted data for the lowest taxonomic level available. Prey survival responses included data expressed as, or converted to, proportion survival or survival time (e.g., h to consumption) of sessile or tethered prey. Only survival from uninhibited predator exposure was considered. 2) The response metric(s) included the mean, sample size, and either standard error (SE), standard deviation (SD), or confidence interval (CI). 3) Levels of edge effects (e.g., edge, interior) and fragmentation (e.g., fragmented, continuous) were typically expressed as discrete categories. Therefore, we accepted the operational definitions used by these studies, but also included meta-data such as edge/interior widths and distances, and fragmentation degree in our database to illustrate the range of definitions used across studies. All included studies examined fragmentation as a state (i.e., configuration), rather than an active process (i.e., changing configuration through time). For studies that included more than two discrete levels of edge (e.g., integer distances) or fragmentation (e.g., continuous, patchy, very patchy), only the most extreme levels were included in effect size calculations (e.g., the distances closest to the patch edge and center; the most continuous and fragmented landscape classifications). Figure data was extracted using DataThief III software (Tummers, 2006).</p>
<p><strong>Calculating Log Response Ratios</strong><br />
Refer to the attached Supplemental File, "<a href="https://datadocs.bco-dmo.org/docs/305/Habitat_Fragmentation/data_docs/864783/864783_Calculating_Log_Response_Ratios.pdf" target="_blank">864783_Calculating_Log_Response_Ratios.pdf</a>"&nbsp; for a description of how the log response ratios were calculated.</p>
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
James E. Byers
University of Georgia
706-583-0012
Odum School of Ecology 140 E. Green St.
Athens
GA
30602
USA
jebyers@uga.edu
pointOfContact
Lauren Yeager
University of Texas - Marine Science Institute
750 Channel View Dr
Port Aransas
TX
78373
US
laurenayeager@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
study_type
reference
month_start
year_start
month_end
year_end
latitude
longitude
location
global_region
sg_type
sg_spp
frag_def
cont_def
edge_def
int_def
covariate
covariate_level
data_source
collected
target_taxon
broad_taxon
lowest_taxon
guild
biotic_response
RR
LRRi
Vi
theme
None, User defined
No BCO-DMO term
reference_paper
month of year
year_start
year_end
latitude
longitude
region
sample type
species scientific name (binomial)
site description
sampling_method
taxon
behavior code
ratio
featureType
BCO-DMO Standard Parameters
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
-9.740833
-0.39808616973
-34.25
59.92275
1990-06-01
2017-08-31
North Carolina
0
BCO-DMO catalogue of parameters from Log response ratios to seagrass edge and fragmentation effects from peer-reviewed literature
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/865105.rdf
Name: study_type
Units: unitless
Description: <p>The focus of the study: edge effects or fragmentation effects, references may have both options in different rows</p>
http://lod.bco-dmo.org/id/dataset-parameter/865106.rdf
Name: reference
Units: unitless
Description: <p>Short formatted reference (i.e., Able 2005); for complete citations refer the Supplemental File "<a href="https://datadocs.bco-dmo.org/docs/305/Habitat_Fragmentation/data_docs/864783/864783_Complete_References.pdf" target="_blank">864783_Complete_References.pdf</a>".</p>
http://lod.bco-dmo.org/id/dataset-parameter/865107.rdf
Name: month_start
Units: unitless
Description: <p>Approximate sampling start month of study</p>
http://lod.bco-dmo.org/id/dataset-parameter/865108.rdf
Name: year_start
Units: unitless
Description: <p>Approximate sampling start year of study</p>
http://lod.bco-dmo.org/id/dataset-parameter/865109.rdf
Name: month_end
Units: unitless
Description: <p>Approximate sampling end month of study</p>
http://lod.bco-dmo.org/id/dataset-parameter/865110.rdf
Name: year_end
Units: unitless
Description: <p>Approximate sampling end year of study</p>
http://lod.bco-dmo.org/id/dataset-parameter/865111.rdf
Name: latitude
Units: decimal degrees
Description: <p>Approximate sampling latitude North</p>
http://lod.bco-dmo.org/id/dataset-parameter/865112.rdf
Name: longitude
Units: decimal degrees
Description: <p>Approximate sampling longitude East (West is negative)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865113.rdf
Name: location
Units: unitless
Description: <p>Name of the location where the study was conducted</p>
http://lod.bco-dmo.org/id/dataset-parameter/865114.rdf
Name: global_region
Units: unitless
Description: <p>Global region in which the study took place: North America, Europe, Asia-Pacific; Africa</p>
http://lod.bco-dmo.org/id/dataset-parameter/865115.rdf
Name: sg_type
Units: unitless
Description: <p>Denotes whether the experiement or survey took place with natural or artifical seagrass</p>
http://lod.bco-dmo.org/id/dataset-parameter/865116.rdf
Name: sg_spp
Units: unitless
Description: <p>Species of (natural or artificially immitated) seagrass in study; commas between species if more than one</p>
http://lod.bco-dmo.org/id/dataset-parameter/865117.rdf
Name: frag_def
Units: Given in cell
Description: <p>For study_type = fragmentation; Operational definitions of the fragmented landscape</p>
http://lod.bco-dmo.org/id/dataset-parameter/865118.rdf
Name: cont_def
Units: Given in cell
Description: <p>For study_type = fragmentation; Operational definitions of the continuous landscape</p>
http://lod.bco-dmo.org/id/dataset-parameter/865119.rdf
Name: edge_def
Units: unitless
Description: <p>For study_type = edge effect; Operational definitions of the patch edge</p>
http://lod.bco-dmo.org/id/dataset-parameter/865120.rdf
Name: int_def
Units: unitless
Description: <p>For study_type = edge effect; Operational definitions of the patch interior</p>
http://lod.bco-dmo.org/id/dataset-parameter/865121.rdf
Name: covariate
Units: unitless
Description: <p>If the publication separated results by a covariate (e.g., site, month, patch size), covariate decribed here</p>
http://lod.bco-dmo.org/id/dataset-parameter/865122.rdf
Name: covariate_level
Units: unitless
Description: <p>The level of the covariate (e.g., site a, site b); if 'all', data from non-independent spatial or temporal replicates have be combined according to Hedges et al. (1999)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865123.rdf
Name: data_source
Units: unitless
Description: <p>Table, Figure, or Text page from which the data were collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/865124.rdf
Name: collected
Units: unitless
Description: <p>Data collection method (e.g., gear type) used by the original publication author(s)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865125.rdf
Name: target_taxon
Units: unitless
Description: <p>Faunal taxonomic level for which density or survival data were available (NA if biotic response is shoot density)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865126.rdf
Name: broad_taxon
Units: unitless
Description: <p>Lowest available faunal taxonomic level for LRRi (NA if biotic response is shoot density)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865127.rdf
Name: lowest_taxon
Units: unitless
Description: <p>Broad faunal taxon or guild: fish, invertebrate, nekton (NA if biotic response is shoot density)</p>
http://lod.bco-dmo.org/id/dataset-parameter/865128.rdf
Name: guild
Units: unitless
Description: <p>Habitat zonation of fauna</p>
http://lod.bco-dmo.org/id/dataset-parameter/865129.rdf
Name: biotic_response
Units: unitless
Description: <p>Shoot density, (faunal) Density, or Survival</p>
http://lod.bco-dmo.org/id/dataset-parameter/865130.rdf
Name: RR
Units: unitless
Description: <p>Response Ratio: The ratio of the mean response in patch edges (X_e) or fragmented landscapes (X_f) over the mean response in patch interiors (X_i) or continuous landscapes (X_c), respectively</p>
http://lod.bco-dmo.org/id/dataset-parameter/865131.rdf
Name: LRRi
Units: units
Description: <p>Ln of the response ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/865132.rdf
Name: Vi
Units: units
Description: <p>Sampling error term or within-experiment variance as calculated by Hedges et al. (1999)</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
104475
https://darchive.mblwhoilibrary.org/bitstream/1912/27793/1/dataset-864783_edge-effects-and-fragmentation-literature-review__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.864783.1
download
onLine
dataset
<p><strong>Literature search and meta-analysis inclusion criteria</strong><br />
We conducted a search using the Institute of Science Information's (ISI) Web of Science (last accessed on May 13, 2021)&nbsp;to gather peer-reviewed literature examining edge effects and fragmentation effects on biogenic complexity, faunal densities, and predation in seagrass ecosystems. Search terms included 1) seagrass AND 2) edge effects OR fragmentation effects AND 3) density OR predation OR survival OR mortality OR trophic interactions. We supplemented this database with additional articles known to us. All candidate studies were judged for inclusion in our meta-analysis based on the following criteria: 1) The study was an original experiment in a mesocosm or natural setting providing edge effect data (i.e., responses in patch edges vs. interiors) or fragmentation effect data (i.e., responses in fragmented vs. continuous landscapes) for one or more of our response metrics of interest in extractable form (i.e., table, figure, or text). Response metrics were natural seagrass shoot density, faunal density, and predation survival. Initially, we considered several metrics of biogenic complexity because they may respond to habitat configuration differently, yet shoot density was ultimately chosen as it was the most common metric reported. Shoot density data were only extracted from studies also examining faunal response metrics, because we were interested in examining faunal-habitat relationships in the context of proximate (e.g., shoot density) and ultimate (e.g., edge, fragmentation) drivers. For faunal density responses, if data for “nested” taxonomic levels were provided (e.g., fish, flounder), we extracted data for the lowest taxonomic level available. Prey survival responses included data expressed as, or converted to, proportion survival or survival time (e.g., h to consumption) of sessile or tethered prey. Only survival from uninhibited predator exposure was considered. 2) The response metric(s) included the mean, sample size, and either standard error (SE), standard deviation (SD), or confidence interval (CI). 3) Levels of edge effects (e.g., edge, interior) and fragmentation (e.g., fragmented, continuous) were typically expressed as discrete categories. Therefore, we accepted the operational definitions used by these studies, but also included meta-data such as edge/interior widths and distances, and fragmentation degree in our database to illustrate the range of definitions used across studies. All included studies examined fragmentation as a state (i.e., configuration), rather than an active process (i.e., changing configuration through time). For studies that included more than two discrete levels of edge (e.g., integer distances) or fragmentation (e.g., continuous, patchy, very patchy), only the most extreme levels were included in effect size calculations (e.g., the distances closest to the patch edge and center; the most continuous and fragmented landscape classifications). Figure data was extracted using DataThief III software (Tummers, 2006).</p>
<p><strong>Calculating Log Response Ratios</strong><br />
Refer to the attached Supplemental File, "<a href="https://datadocs.bco-dmo.org/docs/305/Habitat_Fragmentation/data_docs/864783/864783_Calculating_Log_Response_Ratios.pdf" target="_blank">864783_Calculating_Log_Response_Ratios.pdf</a>"&nbsp; for a description of how the log response ratios were calculated.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing:</strong><br />
All data were entered electronically into an Excel spreadsheet. Figure data were extracted using DataThief III software (Tummers, 2006). To quantify edge and fragmentation effects across studies, we calculated log response ratios (LRRs) using methods described by Hedges et al. (1999) within the R computing environment (v. 4.1.0; R Core Team 2021).</p>
<p><strong>BCO-DMO Processing:</strong><br />
- Added columns for month_start, year_start, month_end, year_end;<br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions;<br />
- Removed commas or replaced them with semi-colons;<br />
- Added a conventional header with dataset name, PI names, version date.</p>
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