http://lod.bco-dmo.org/id/dataset/1009144
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
2026-10-06
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Meta-analytic data for tolerance plasticity study - literature review from 2019-2020
2026-10-06
publication
2026-10-06
revision
BCO-DMO Linked Data URI
2026-10-06
creation
http://lod.bco-dmo.org/id/dataset/1009144
Brian Cheng
University of Massachusetts Amherst
principalInvestigator
Morgan Kelly
Louisiana State University
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: Cheng, B., Kelly, M. (2026) Meta-analytic data for tolerance plasticity study - literature review from 2019-2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-10-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/1009144 [access date]
Tolerance Plasticity Meta-analysis 2019-2020 Dataset Description: Methods and Sampling: <p>Studies which measure thermal tolerance plasticity typically collect organisms from nature and acclimate them to different temperatures for defined periods of time in the lab before measuring thermal tolerance. Important methodological considerations for these types of studies include (1) for how long and at what temperature organisms are acclimated, (2) how fast the temperature is changed, and (3) whether measurements are made on field collected or F1 individuals, given that parental conditions are known to influence thermal plasticity. To identify publications for use in our study, we followed PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines (supplemental figure S1 in Barley et al. 2021). We searched titles, abstracts, and key words in Web of Science (Clarivate Analytics, Philadelphia, USA) using the following search string: (Thermal OR temperatures) AND (Lethal OR “Thermal tolerance” OR “Thermal limit” OR CTmax OR CTmin OR LT50 OR “freezing tolerance”) AND ("Local* Adapt*" OR "“Latitud* Var” OR Intraspecific). We conducted an initial literature search on 24 August 2019 and updated the search on 28 July 2020. We also added studies that we were aware of but were not returned in the literature search. We used the following criteria for inclusion, where each study must have: (1) reported new results of whole-organism upper thermal limit in degrees Celsius for at least 2 populations of the same species, (2) experimentally measured thermal tolerance after acclimating all individuals to at least two temperatures, (3) reported a measure of error for the thermal tolerance estimate, and (4) not measured tolerance of introduced species, hybrid lines, cultivars, domesticated species, or later generations of experimental laboratory populations (greater than F2). Although we initially included both cold and heat tolerance studies, we later excluded cold tolerance studies from our analysis due to insufficient data. Studies of cold tolerance, and additional studies that met criteria (1) and (2) but were excluded based on (3) and/or (4) are listed in supplemental table S1 in Barley et al. 2021. We screened 400 publications that measured thermal tolerances across populations and identified 20 studies to include in our meta-analysis, representing 19 species. The studies that were accepted after looking through titles and abstracts but were later excluded from our analysis are listed in Table S1 in Barley et al. 2021. We extracted data from each publication using relevant figures, tables, text, or supplementary material. In the case of figures, we used WebPlotDigitizer (version 4.3; Rohatgi 2020) to extract means and error estimates.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023571 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023571
onGoing
Brian Cheng
University of Massachusetts Amherst
413-545-2454
160 Holdsworth Way
Amherst
MA
01003-9285
USA
bscheng@umass.edu
pointOfContact
Morgan Kelly
Louisiana State University
2255780224
Baton Rouge
LA
708030100
US
morgankelly@lsu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
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.
Investigating mechanisms underlying adaptive capacity to ocean warming
https://osprey.bco-dmo.org/project/867392
Investigating mechanisms underlying adaptive capacity to ocean warming
<p><em>NSF Award Abstract:</em><br />
Understanding how marine life copes with drastically different environmental conditions now and into the future is essential for the management and conservation of biodiversity in the ocean. One complicating factor is the observation that populations within a given species are often fine-tuned to the environment that they live in. Yet, it is often unclear what components of the environment create these differences across populations. This project focuses on Atlantic oyster drills, a predatory snail that consumes farmed and wild oysters on the Atlantic coast of North America, the location of one of the strongest temperature gradients in the world. The investigators combine field and laboratory studies to understand how differences in temperature affect the growth and survival of oyster drills sourced from populations throughout their range. This information is paired with molecular analyses to help determine genetic and physiological differences among populations. In addition to benefitting oyster reefs, this information broadly contributes to the understanding of how marine life will respond to rapidly changing environmental conditions. The project also supports the education and marine science training of students at the undergraduate, graduate, and postdoctoral level. In partnership with the non-profit organization Waterstrong, the investigators will provide marine science and swimming skills training to thirty girls from historically underrepresented groups.</p>
<p>Predicting how marine communities will respond to rapid environmental change is difficult because species responses can vary across populations and because organisms may evolve over time. Knowledge of how such evolutionary potential arises and is maintained is limited. A useful approach for examining species response to environmental change is to investigate how species have locally adapted to environmental differences across their range. This project tests competing mechanisms that can generate countergradient variation (CnGV; a widespread form of local adaptation) in an ecologically important marine species (Atlantic oyster drill, Urosalpinx cinerea). The objectives of this integrative research are to 1) quantify the strength of seasonality and mean temperature in generating CnGV and to 2) identify if these responses are correlated across biological traits using a combination of field sampling and common garden experimentation. These objectives are complemented with a molecular approach that 3) quantifies neutral genetic structure across populations and 4) identifies the roles of genetic adaptation and transcriptional plasticity in facilitating physiological adaptation to environmental change. The proposed work is significant because it provides a novel test for different environmental drivers of a commonly observed form of local adaptation. This research also reveals the genetic underpinnings of how such local adaptation arises and will give insight into the adaptive capacity of organisms to rapid change.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
<p><strong>Other project information:</strong><br />
Further information about this project and related work can be found on the UMass Amherst website "MARINE GLOBAL CHANGE ECOLOGY" (<a href="http://bscheng.com" target="_blank">http://bscheng.com</a>).</p>
URO
largerWorkCitation
project
eng; USA
biota
oceans
-161.58333
146.4769
-40.65
65.4529
1998-01-01
2019-12-31
Coastal marine waters of western Atlantic ocean from 31 to 44 degrees latitude N
0
BCO-DMO catalogue of parameters from Meta-analytic data for tolerance plasticity study - literature review from 2019-2020
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
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
https://osprey.bco-dmo.org/dataset/1009144/data/download
download
onLine
dataset
<p>Studies which measure thermal tolerance plasticity typically collect organisms from nature and acclimate them to different temperatures for defined periods of time in the lab before measuring thermal tolerance. Important methodological considerations for these types of studies include (1) for how long and at what temperature organisms are acclimated, (2) how fast the temperature is changed, and (3) whether measurements are made on field collected or F1 individuals, given that parental conditions are known to influence thermal plasticity. To identify publications for use in our study, we followed PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines (supplemental figure S1 in Barley et al. 2021). We searched titles, abstracts, and key words in Web of Science (Clarivate Analytics, Philadelphia, USA) using the following search string: (Thermal OR temperatures) AND (Lethal OR “Thermal tolerance” OR “Thermal limit” OR CTmax OR CTmin OR LT50 OR “freezing tolerance”) AND ("Local* Adapt*" OR "“Latitud* Var” OR Intraspecific). We conducted an initial literature search on 24 August 2019 and updated the search on 28 July 2020. We also added studies that we were aware of but were not returned in the literature search. We used the following criteria for inclusion, where each study must have: (1) reported new results of whole-organism upper thermal limit in degrees Celsius for at least 2 populations of the same species, (2) experimentally measured thermal tolerance after acclimating all individuals to at least two temperatures, (3) reported a measure of error for the thermal tolerance estimate, and (4) not measured tolerance of introduced species, hybrid lines, cultivars, domesticated species, or later generations of experimental laboratory populations (greater than F2). Although we initially included both cold and heat tolerance studies, we later excluded cold tolerance studies from our analysis due to insufficient data. Studies of cold tolerance, and additional studies that met criteria (1) and (2) but were excluded based on (3) and/or (4) are listed in supplemental table S1 in Barley et al. 2021. We screened 400 publications that measured thermal tolerances across populations and identified 20 studies to include in our meta-analysis, representing 19 species. The studies that were accepted after looking through titles and abstracts but were later excluded from our analysis are listed in Table S1 in Barley et al. 2021. We extracted data from each publication using relevant figures, tables, text, or supplementary material. In the case of figures, we used WebPlotDigitizer (version 4.3; Rohatgi 2020) to extract means and error estimates.</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