http://lod.bco-dmo.org/id/dataset/700177
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
2017-05-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Grazing preferences by herbivorous fishes in The Bahamas in 2011
2017-05-16
publication
2017-05-16
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-28
publication
https://doi.org/10.1575/1912/bco-dmo.700177.1
Mark Hixon
University of Hawai'i
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: Hixon, M. (2017) Grazing preferences by herbivorous fishes in The Bahamas in 2011. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-05-16 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.700177.1 [access date]
Grazing preferences by herbivorous fish. Dataset Description: <p>Grazing behavior during assays of native herbivorous fishes in response to the presence of invasive lionfish.&nbsp; &nbsp;</p>
<p><strong>For related datasets, please visit the project link listed at the top of the page.</strong></p> Methods and Sampling: <p><strong>Methods from Kindinger and Albins (2016) "Consumptive and non-consumptive effects of an invasive marine predator on native </strong><strong>coral-reef</strong><strong> herbivores"&nbsp;doi: <a href="https://link.springer.com/article/10.1007%2Fs10530-016-1268-1" target="_blank">10.1007/s10530-016-1268-1</a></strong></p>
<p>To quantify NCEs of invasive lionfish on native herbivores, we observed the grazing behavior of herbivorous fishes at each of the 10 experimental reefs over 10 consecutive days in July 2011, observing paired reefs on adjacent days. Each day, we collected 20 haphazardly selected pieces of algal-covered coral rubble (0.43–0.94 m2 surface area) from a nonexperimental reef containing an extensive area of dead Acropora cervicornis coral rubble inhabited by a high density of three-spot damselfish (Stegastes planifrons). This territorial fish maintains higher standing stocks of farmed palatable seaweeds via interspecific aggression in response to intruding herbivores (Ceccarelli et al. 2001 ).&nbsp;</p>
<p>Each piece of algal substratum was carefully placed into a plastic bag filled with seawater, photographed out of water onboard a boat, returned to its plastic bag, and transported in a cooler of seawater to a nearby experimental reef. At high-lionfish-density reefs, we randomly assigned paired substrata to two similar, but separate microhabitats (e.g., next to a coral head, on a ledge, etc.) that differed only in the presence (\ 0.25 m away) versus absence ([ 3 m away) of lionfish at the time of observation. At low-lionfish-density reefs, we placed algal substrata in paired microhabitats that were similar to those used at high-lionfish-density reefs, except lionfish were always absent during observation. All replicates were therefore placed in types of microhabitats frequented by lionfish, regardless of actual lionfish presence. Overall, we observed grazing of translocated algal-covered substrata at three levels of lionfish presence: (1) low-lionfish-density reef with lionfish absent from the observed microhabitat (n = 100); (2) high-lionfish-density reef with lionfish absent from the microhabitat (n = 50); and (3) high-lionfish-density reef with lionfish present in the microhabitat (n = 50); hereafter referred to as low -absent , high -absent , and high -present treatments, respectively. These treatments were designed to provide insight on the spatial scale at which lionfish presence affects herbivorous fish behavior by allowing simultaneous comparisons of grazing behavior between (1) low- and high-lionfish-densities at the reef-scale while controlling for lionfish presence at the within-reef scale (i.e., low-absent vs. high-absent treatments) and (2) lionfish presence-absence at the within-reef scale while controlling for lionfish density at the reef-scale (i.e., high-absent vs. high-present treatments).&nbsp;</p>
<p>At each experimental reef, we monitored four of the translocated algal substrata—one pair in the morning (0900–1200) and one pair in the afternoon (1400–1600)—for 60 min each using automated underwater video cameras placed approximately 3 m away. Meanwhile, we observed the remaining 16 algal substrata with SCUBA (8 replicates per diver) one at a time for 20 min each, with observations divided evenly throughout the day (2 pairs in the morning and 2 pairs in the afternoon per diver). All observations were therefore performed during the day when the probability of lionfish predation is greatly reduced (Green et al. 2011 ; Cure et al. 2012 ) and all lionfish observed were inactive. We identified the species of each fish that visited these substrata, visually estimated its TL to the nearest cm, and counted the number of times it took a bite of algae. Each fish was considered to be a unique individual once it entered the diver’s field of view (approximately 2 m surrounding the focal rock), and continuing until the time it left the field of view and could no longer be visually tracked. At the end of each observation period, the algal substratum was carefully returned to its plastic bag full of fresh seawater and kept underwater until all 20 replicates had been observed. We then rephotographed each replicate onboard the boat.&nbsp;</p>
<p>Grazing behavior observed at each replicate algal substratum was comprised of the following response variables: (1) visitation rate (number of fish/minute); (2) percent visitation rate (percent fish/minute); (3) bite rate (number of bites/minute); and (4) individual bite rate (number of bites per fish/minute). The percent visitation rate and individual bite rate allowed us to account for any potential differences in herbivorous fish densities between low- and high-lionfish-density reefs. Percent visitation rates were calculated by dividing the total number of fish observed grazing (per substratum) by the total number of herbivorous fish counted at each reef during the reef fish surveys conducted just prior (June 2011) to the grazing observations (July 2011). For all the herbivorous fish that grazed on each experimental substrate, the number of bites each fish took during individual grazing bouts was averaged to measure the individual bite rate. We also used the before and after photographs of each substrate to estimate the percent loss of algal cover from observed grazing. We quantified percent cover from photographs using the image processing program, ImageJ.&nbsp;</p>
<p>We analyzed the response of all herbivorous fishes that grazed on the experimental substrate by fish size class (small and large , with large encompassing the response among fishes[ 10 cm TL, which remained consistent regardless of further size binning into medium and large size classes). Parrotfishes accounted for 69.2 % of the herbivorous fishes that we observed grazing. Therefore, the behavioral response (same variables as above) of this fish family was also analyzed by fish size class. The remaining fish families (surgeonfishes, angelfishes, and damselfishes) were not further divided by size class, because such extensive division of each response variable would have resulted in highly zero-inflated data. The percent loss of algae from substrata was not analyzed by fish size class nor by fish family, because individual contributions of each fish to the overall algal loss could not be distinguished.&nbsp;</p>
<p>We fitted LMMs using a similar procedure as the one described above to account for the nested design of the fish grazing surveys when comparing grazing behavior of herbivorous fish among lionfish treatments. Random effects consisted of paired microhabitats nested within paired reefs. In addition to lionfish treatment (lowabsent, high-absent, and high-present), all full models included the initial algal percent cover (algae ) of each replicate substratumas a fixed factor in order to account for any influence this parameter could have on grazing behavior, as well as an algae 9 lionfish interaction. With the exception of the model of percent loss in algal cover, we log-transformed all rate response variables and allowed variances to differ among reefs with weighted terms to meet all assumptions of normality, homogeneity, and independence. When lionfish treatment was significant in the model based on LRTs, we performed multiple comparisons of the response at every combination of lionfish treatments using Tukey’s Honestly Significant Difference (HSD) method. All statistical analyses of both reef fish surveys and fish grazing observations were conducted using the statistical software R (R Core Team 2014 ) with the associated packages, nlme (Pinheiro et al. 2014 ) and multcomp (Hothorn et al. 2008 ).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1233027 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1233027
completed
Mark Hixon
University of Hawai'i
Department of Zoology 3029 Cordley Hall
Corvallis
OR
97331-2914
USA
hixonm@science.oregonstate.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
date
site
site_treatment
replicate_number
replicate_pair
observation_time
micro_treatment
algae_initial
algae_pcntCoverChange
family
species
fish_size
bite_number
theme
None, User defined
date
site
treatment
sample identification
time_elapsed
No BCO-DMO term
percent coverage
family
species scientific name (binomial)
fish_len
count
featureType
BCO-DMO Standard Parameters
LSI_Reef_Surveys_09-12
service
Deployment Activity
Lee Stocking Island, Bahamas
place
Locations
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.
Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish
http://hixon.science.oregonstate.edu/content/highlight-lionfish-invasion
Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish
<p>The Pacific red lionfish (Pterois volitans), a popular aquarium fish, was introduced to the Atlantic Ocean in the vicinity of Florida in the late 20th century. Voraciously consuming small native coral-reef fishes, including the juveniles of fisheries and ecologically important species, the invader has undergone a population explosion that now ranges from the U.S. southeastern seaboard to the Gulf of Mexico and across the greater Caribbean region. The PI's past research determined that invasive lionfish (1) have escaped their natural enemies in the Pacific (lionfish are much less abundant in their native range); (2) are not yet controlled by Atlantic predators, competitors, or parasites; (3) have strong negative effects on populations of native Atlantic fishes; and (4) locally reduce the diversity (number of species) of native fishes. The lionfish invasion has been recognized as one of the major conservation threats worldwide.</p>
<p>The Bahamas support the highest abundances of invasive lionfish globally. This system thus provides an unprecedented opportunity to understand the direct and indirect effects of a major invader on a diverse community, as well as the underlying causative mechanisms. The PI will focus on five related questions: (1) How does long-term predation by lionfish alter the structure of native reef-fish communities? (2) How does lionfish predation destabilize native prey population dynamics, possibly causing local extinctions? (3) Is there a lionfish-herbivore-seaweed trophic cascade on invaded reefs? (4) How do lionfish modify cleaning mutualisms on invaded reefs? (5) Are lionfish reaching densities where natural population limits are evident? </p>
BiodiversityLossEffects_lionfish
largerWorkCitation
project
eng; USA
oceans
Lee Stocking Island, Bahamas
2011-07-22
2011-07-31
Three Bahamian sites: 24.8318, -076.3299; 23.8562, -076.2250; 23.7727, -076.1071; Caribbean Netherlands: 12.1599, -068.2820
0
BCO-DMO catalogue of parameters from Grazing preferences by herbivorous fishes in The Bahamas in 2011
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/700186.rdf
Name: date
Units: unitless
Description: <p>Date of observation; YYYY/MM/DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/700187.rdf
Name: site
Units: unitless
Description: <p>Name of study site (reef)</p>
http://lod.bco-dmo.org/id/dataset-parameter/700188.rdf
Name: site_treatment
Units: unitless
Description: <p>Lionfish treatment of site (reef): Low-lionfish-density reef or High-lionfish-density reef</p>
http://lod.bco-dmo.org/id/dataset-parameter/700189.rdf
Name: replicate_number
Units: unitless
Description: <p>Replicate number; replicates = algal-covered substrata placed in study site</p>
http://lod.bco-dmo.org/id/dataset-parameter/700190.rdf
Name: replicate_pair
Units: unitless
Description: <p>Replicate pairs</p>
http://lod.bco-dmo.org/id/dataset-parameter/700191.rdf
Name: observation_time
Units: minutes
Description: <p>Length of observation</p>
http://lod.bco-dmo.org/id/dataset-parameter/700192.rdf
Name: micro_treatment
Units: unitless
Description: <p>Lionfish treatment of microhabitat where substrate was placed/observed: lionfish were absent or present during observation</p>
http://lod.bco-dmo.org/id/dataset-parameter/700193.rdf
Name: algae_initial
Units: centimeters squared
Description: <p>Initial amount of algae covering substrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/700194.rdf
Name: algae_pcntCoverChange
Units: percent
Description: <p>Change in percent cover of algae quantified from before vs. after photos of substrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/700195.rdf
Name: family
Units: unitless
Description: <p>Family of fish</p>
http://lod.bco-dmo.org/id/dataset-parameter/700196.rdf
Name: species
Units: unitless
Description: <p>Species of fish: species codes are first two letters of genus and species (see species key)</p>
http://lod.bco-dmo.org/id/dataset-parameter/700197.rdf
Name: fish_size
Units: centimeters
Description: <p>Total body length of fish</p>
http://lod.bco-dmo.org/id/dataset-parameter/700198.rdf
Name: bite_number
Units: count
Description: <p>Number of bites fish took of algae from substrata during observation</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
91121
https://darchive.mblwhoilibrary.org/bitstream/1912/23938/1/dataset-700177_grazing-assays__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.700177.1
download
onLine
dataset
<p><strong>Methods from Kindinger and Albins (2016) "Consumptive and non-consumptive effects of an invasive marine predator on native </strong><strong>coral-reef</strong><strong> herbivores"&nbsp;doi: <a href="https://link.springer.com/article/10.1007%2Fs10530-016-1268-1" target="_blank">10.1007/s10530-016-1268-1</a></strong></p>
<p>To quantify NCEs of invasive lionfish on native herbivores, we observed the grazing behavior of herbivorous fishes at each of the 10 experimental reefs over 10 consecutive days in July 2011, observing paired reefs on adjacent days. Each day, we collected 20 haphazardly selected pieces of algal-covered coral rubble (0.43–0.94 m2 surface area) from a nonexperimental reef containing an extensive area of dead Acropora cervicornis coral rubble inhabited by a high density of three-spot damselfish (Stegastes planifrons). This territorial fish maintains higher standing stocks of farmed palatable seaweeds via interspecific aggression in response to intruding herbivores (Ceccarelli et al. 2001 ).&nbsp;</p>
<p>Each piece of algal substratum was carefully placed into a plastic bag filled with seawater, photographed out of water onboard a boat, returned to its plastic bag, and transported in a cooler of seawater to a nearby experimental reef. At high-lionfish-density reefs, we randomly assigned paired substrata to two similar, but separate microhabitats (e.g., next to a coral head, on a ledge, etc.) that differed only in the presence (\ 0.25 m away) versus absence ([ 3 m away) of lionfish at the time of observation. At low-lionfish-density reefs, we placed algal substrata in paired microhabitats that were similar to those used at high-lionfish-density reefs, except lionfish were always absent during observation. All replicates were therefore placed in types of microhabitats frequented by lionfish, regardless of actual lionfish presence. Overall, we observed grazing of translocated algal-covered substrata at three levels of lionfish presence: (1) low-lionfish-density reef with lionfish absent from the observed microhabitat (n = 100); (2) high-lionfish-density reef with lionfish absent from the microhabitat (n = 50); and (3) high-lionfish-density reef with lionfish present in the microhabitat (n = 50); hereafter referred to as low -absent , high -absent , and high -present treatments, respectively. These treatments were designed to provide insight on the spatial scale at which lionfish presence affects herbivorous fish behavior by allowing simultaneous comparisons of grazing behavior between (1) low- and high-lionfish-densities at the reef-scale while controlling for lionfish presence at the within-reef scale (i.e., low-absent vs. high-absent treatments) and (2) lionfish presence-absence at the within-reef scale while controlling for lionfish density at the reef-scale (i.e., high-absent vs. high-present treatments).&nbsp;</p>
<p>At each experimental reef, we monitored four of the translocated algal substrata—one pair in the morning (0900–1200) and one pair in the afternoon (1400–1600)—for 60 min each using automated underwater video cameras placed approximately 3 m away. Meanwhile, we observed the remaining 16 algal substrata with SCUBA (8 replicates per diver) one at a time for 20 min each, with observations divided evenly throughout the day (2 pairs in the morning and 2 pairs in the afternoon per diver). All observations were therefore performed during the day when the probability of lionfish predation is greatly reduced (Green et al. 2011 ; Cure et al. 2012 ) and all lionfish observed were inactive. We identified the species of each fish that visited these substrata, visually estimated its TL to the nearest cm, and counted the number of times it took a bite of algae. Each fish was considered to be a unique individual once it entered the diver’s field of view (approximately 2 m surrounding the focal rock), and continuing until the time it left the field of view and could no longer be visually tracked. At the end of each observation period, the algal substratum was carefully returned to its plastic bag full of fresh seawater and kept underwater until all 20 replicates had been observed. We then rephotographed each replicate onboard the boat.&nbsp;</p>
<p>Grazing behavior observed at each replicate algal substratum was comprised of the following response variables: (1) visitation rate (number of fish/minute); (2) percent visitation rate (percent fish/minute); (3) bite rate (number of bites/minute); and (4) individual bite rate (number of bites per fish/minute). The percent visitation rate and individual bite rate allowed us to account for any potential differences in herbivorous fish densities between low- and high-lionfish-density reefs. Percent visitation rates were calculated by dividing the total number of fish observed grazing (per substratum) by the total number of herbivorous fish counted at each reef during the reef fish surveys conducted just prior (June 2011) to the grazing observations (July 2011). For all the herbivorous fish that grazed on each experimental substrate, the number of bites each fish took during individual grazing bouts was averaged to measure the individual bite rate. We also used the before and after photographs of each substrate to estimate the percent loss of algal cover from observed grazing. We quantified percent cover from photographs using the image processing program, ImageJ.&nbsp;</p>
<p>We analyzed the response of all herbivorous fishes that grazed on the experimental substrate by fish size class (small and large , with large encompassing the response among fishes[ 10 cm TL, which remained consistent regardless of further size binning into medium and large size classes). Parrotfishes accounted for 69.2 % of the herbivorous fishes that we observed grazing. Therefore, the behavioral response (same variables as above) of this fish family was also analyzed by fish size class. The remaining fish families (surgeonfishes, angelfishes, and damselfishes) were not further divided by size class, because such extensive division of each response variable would have resulted in highly zero-inflated data. The percent loss of algae from substrata was not analyzed by fish size class nor by fish family, because individual contributions of each fish to the overall algal loss could not be distinguished.&nbsp;</p>
<p>We fitted LMMs using a similar procedure as the one described above to account for the nested design of the fish grazing surveys when comparing grazing behavior of herbivorous fish among lionfish treatments. Random effects consisted of paired microhabitats nested within paired reefs. In addition to lionfish treatment (lowabsent, high-absent, and high-present), all full models included the initial algal percent cover (algae ) of each replicate substratumas a fixed factor in order to account for any influence this parameter could have on grazing behavior, as well as an algae 9 lionfish interaction. With the exception of the model of percent loss in algal cover, we log-transformed all rate response variables and allowed variances to differ among reefs with weighted terms to meet all assumptions of normality, homogeneity, and independence. When lionfish treatment was significant in the model based on LRTs, we performed multiple comparisons of the response at every combination of lionfish treatments using Tukey’s Honestly Significant Difference (HSD) method. All statistical analyses of both reef fish surveys and fish grazing observations were conducted using the statistical software R (R Core Team 2014 ) with the associated packages, nlme (Pinheiro et al. 2014 ) and multcomp (Hothorn et al. 2008 ).</p>
Specified by the Principal Investigator(s)
<p><span style="font-size:14px"><strong>BCO-DMO Processing Notes:</strong></span></p>
<p><span style="font-size:14px">- reformatted column names to comply with BCO-DMO standards</span><br />
<span style="font-size:14px">- reformatted dates&nbsp;</span><br />
<span style="font-size:14px">- nd used to fill blank cells</span></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
Deployment: LSI_Reef_Surveys_09-12
LSI_Reef_Surveys_09-12
Tropical Marine Lab at Lee Stocking Island
laboratory
LSI_Reef_Surveys_09-12
Mark Hixon
Oregon State University
Tropical Marine Lab at Lee Stocking Island
laboratory