Data Package Metadata   View Summary

Review of ecological research approaches for the study of extreme events in aquatic ecosystems

General Information
Data Package:
Local Identifier:edi.752.2
Title:Review of ecological research approaches for the study of extreme events in aquatic ecosystems
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Extreme climatic events have increased in frequency globally, with a simultaneous surge in scientific interest about their ecological consequences, particularly in sensitive freshwater, coastal, and marine ecosystems. In this context, it is imperative that ecologists apply their expertise to understand and predict the ecological impacts of extreme events, and to collaborate across disciplines and sectors to improve socio-ecological resilience to extreme events. However, ecological research on extreme events is often opportunistic and hampered by lack of coordination, among ecologists and among interdisciplinary collaborators. We conducted a literature search to investigate the research approaches that ecologists use to study extreme events in aquatic ecosystems (including freshwater, coastal, and marine ecosystems), that is, to understand how, when, and where ecologists study these events, and to identify areas to improve research practices. We used keywords related to ecology, aquatic ecosystems, and types of extreme events to identify 215 relevant papers in the literature and we examined these papers to identify 49 studies that met our inclusion criteria of including observations of ecological responses to an extreme event occurring in an aquatic ecosystem. We then extracted information from the 49 included papers, including information on the ecosystem, the extreme event, the spatial and temporal approaches to sampling, the types of response variables sampled, and the magnitude of responses measured. This dataset collates research approaches to the study of extreme events in aquatic ecosystems at a broad scale. Based on this literature review, we identified key areas where aquatic ecologists can improve research practices, including prioritizing pre- and post-event data collection, leveraging long-term and cross-site monitoring networks, and adopting novel approaches to analysis, synthesis, and collaboration.

Publication Date:2022-02-09
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
1960
End:
2016

People and Organizations
Contact:Aoki, Lillian R (University of Oregon) [  email ]
Creator:Aoki, Lillian R (University of Oregon)
Creator:Brisbin, Margaret M (Woods Hole Oceanographic Institution)
Creator:Hounshell, Alexandria G (Virginia Tech)
Creator:Kincaid, Dustin W (University of Vermont)
Creator:Larson, Erin (Alaska Pacific University)
Creator:Sansom, Brandon J (SUNY University at Buffalo)
Creator:Shogren, Arial J (Michigan State University)
Creator:Smith, Rachel S (University of Virginia)
Creator:Sullivan-Stack, Jenna (Oregon State University)

Data Entities
Data Table Name:
literature-review-extracted-values
Description:
Information extracted from journal articles included in the literature review
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/752/2/4556b96ed5a43dc14c68a2ddce8d816c
Name:literature-review-extracted-values
Description:Information extracted from journal articles included in the literature review
Number of Records:197
Number of Columns:51

Table Structure
Object Name:Supplementary_material_1_dataset_for_EML.csv
Size:127075 byte
Authentication:43a3f44db2ea960bf508d627e0c69208 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 UniqueAccessionPublicationYearAuthorTitlePublicationTitleDoiClimate_relationshipActual_Extreme_EventDistalEvent_TypeDistalEvent_EventNameProximateEvent_TypeProximateEvent_DurationProximateEvent_SpatialExtentDistalEvent_ReturnTimeLatitude (decimal degrees)Longitude (decimal degrees)Continent/OceanCountryProximateEvent_MonthYearStartType_systemSystem_NameSampling_MonthYearStart (MMYYYY)Sampling_Duration_BeforeSampling_Duration_DuringSampling_Duration_AfterContinuous Monitoring PriorSamplingUnit_SpatialExtentReplicateSamplesStudy_SpatialExtentExtreme_DefinitionBiologicalResponseMeasuredBiologicalResponse_OrganismalGroupBiologicalResponse_TrophicLevelBiologicalResponse_DirectionBiologicalResponse_EffectSizeBiologicalResponse_SignificanceBiologicalResponse_RawData_PublicallyAvailablePhysicalResponseCategoryPhysicalResponseMeasuredPhysicalResponse_ParameterMeasuredPhysicalResponse_DirectionPhysicalResponse_EffectSizePhysicalResponse_SignificancePhysicalResponse_RawData_PublicallyAvailableChemicalResponse_CategoryChemicalResponse_MeasuredChemicalResponse_ElementMaterial_MeasuredChemicalResponse_DirectionChemicalResponse_EffectSizeChemicalResponse_SignificanceChemicalResponse_RawData_PublicallyAvailable
Column Name:UniqueAccession  
PublicationYear  
Author  
Title  
PublicationTitle  
Doi  
Climate_relationship  
Actual_Extreme_Event  
DistalEvent_Type  
DistalEvent_EventName  
ProximateEvent_Type  
ProximateEvent_Duration  
ProximateEvent_SpatialExtent  
DistalEvent_ReturnTime  
Latitude  
Longitude  
Continent/Ocean  
Country  
ProximateEvent_MonthYearStart  
Type_system  
System_Name  
Sampling_MonthYearStart  
Sampling_Duration_Before  
Sampling_Duration_During  
Sampling_Duration_After  
Continuous Monitoring Prior  
SamplingUnit_SpatialExtent  
ReplicateSamples  
Study_SpatialExtent  
Extreme_Definition  
BiologicalResponseMeasured  
BiologicalResponse_OrganismalGroup  
BiologicalResponse_TrophicLevel  
BiologicalResponse_Direction  
BiologicalResponse_EffectSize  
BiologicalResponse_Significance  
BiologicalResponse_RawData_PublicallyAvailable  
PhysicalResponseCategory  
PhysicalResponseMeasured  
PhysicalResponse_ParameterMeasured  
PhysicalResponse_Direction  
PhysicalResponse_EffectSize  
PhysicalResponse_Significance  
PhysicalResponse_RawData_PublicallyAvailable  
ChemicalResponse_Category  
ChemicalResponse_Measured  
ChemicalResponse_ElementMaterial_Measured  
ChemicalResponse_Direction  
ChemicalResponse_EffectSize  
ChemicalResponse_Significance  
ChemicalResponse_RawData_PublicallyAvailable  
Definition:Unique identification number assigned to paper in search result databaseYear of publication of the journal articleList of authors of the journal article; authors are listed as "Family name, Given name, Middle Initial" and multiple authors are divided by a semi-colonTitle of the journal article included in the literature reviewTitle of the journal that published the article included in the literature reviewDigital Object Identifier for the journal article included in the literature reviewBinary response to the question, do the authors explicitly frame the journal article in terms of climate change or link the response to climate change?Binary response to the question, Does the study actually measure a response to an extreme event (if so, pick "Yes")? Or does it do something else, e.g. use historical climate data to measure past climate extremes and use that as a predictor (then pick "No).Text answer to the question, if the focal event in the study was, for example, a flood, drought, or mixing, etc., what was the larger scale driver of this event? What was the meteorological or geological cause?Specific names referring to particular extreme events, such as named hurricanesThe local physical driver of disturbance that the study focused onMost appropriate unit of time to describe the length of the proximate event (from hours to years)Most appropriate unit of spatial scale to describe the spatial extent of the proximate event (from local to continental or ocean basin)Most appropriate unit of time to describe the reoccurence time of the distal (larger scale) eventDecimal degrees of latitudeDecimal degrees of longitudeName of continent or ocean basin where event occurredCountry where study was conductedDate of when the event began, in format MMYYYY or YYYY if month is unknownType of ecosystem observed in the studyPropoer name of the ecosystem observed in the study, if availableDate of when sampling began, in format MMYYYY or YYYY if month is not availableMost appropriate unit of time to describe the duration of sampling that occured PRIOR to the study eventMost appropriate unit of time to describe the duration of sampling that occured DURING the study eventMost appropriate unit of time to describe the duration of sampling that occured AFTER the study eventResponse to question, Was there routine montioring or sampling that occurred on a regular basis prior to the event?Most appropriate range to describe the spatial extent of the SAMPLING UNIT that researches used in the study (e.g., a grab water sample = < 1 sq m, the size of quadrat used, etc)Response to the question, Were replicate samples collected to characterize a sampling time or spatial extent?Most appropriate range to describe the spatial extent of the sampling that occured during the study eventDid the authors define what qualifies as an extreme event? Statistical definition: include return interval, or mentioning standard deviation/variance from normal.Level of biological organization that best represents the focus of this biological responseOrganismal group for this biological response.Trophic level of this biological responseDirection of this biological responseCategorization the effect size of this biological responseStatistical significance of biological responseResponse to the question, Are the raw biological data publically available?A broad category for physical responseType of physical response measuredFurther clarify the phyiscal response measured if necessaryDirection of this physical responseCategorization of the magnitude of the effect size of this physical responseStatistical significance of physical responseAre the raw physical data publically available?Broad category for chemical responseSpecific category for chemical responseElement or material measured for this chemical responseDirection of this chemical responseCategorization of the effect size of the chemical responseStatistical significance of chemical responseResponse to question, Are the raw chemical data publically available?
Storage Type:float  
float  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
float  
float  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
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string  
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Measurement Type:nominaldateTimenominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalratiorationominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominal
Measurement Values Domain:
DefinitionUnique identification number assigned to paper in search result database
FormatYYYY
Precision
DefinitionList of authors of the journal article; authors are listed as "Family name, Given name, Middle Initial" and multiple authors are divided by a semi-colon
DefinitionTitle of the journal article included in the literature review
DefinitionTitle of the journal that published the article included in the literature review
DefinitionDigital Object Identifier for the journal article included in the literature review
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeN
DefinitionNo, authors do not explicitly link to climate change
Source
Code Definition
CodeY
DefinitionYes, authors explicitly link to climate change
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeN
DefinitionNo, the authors do not desribe a specific extreme event
Source
Code Definition
CodeY
DefinitionYes, the authors describe a specific extreme event
Source
DefinitionText answer to the question, if the focal event in the study was, for example, a flood, drought, or mixing, etc., what was the larger scale driver of this event? What was the meteorological or geological cause?
DefinitionSpecific names referring to particular extreme events, such as named hurricanes
DefinitionThe local physical driver of disturbance that the study focused on
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codedays
DefinitionAn event duration of days
Source
Code Definition
Codehours
DefinitionAn event duration of hours
Source
Code Definition
Codemonths
DefinitionAn event duration of months
Source
Code Definition
Codeweeks
DefinitionAn event duration of weeks
Source
Code Definition
Codeyears
DefinitionAn event duration of years
Source
DefinitionMost appropriate unit of spatial scale to describe the spatial extent of the proximate event (from local to continental or ocean basin)
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo appropriate return time or no approrpiate distal event identified
Source
Code Definition
Codecenturies
DefinitionA return time of centuries
Source
Code Definition
Codedays
DefinitionA return time of days
Source
Code Definition
Codedecades
DefinitionA return time of decades
Source
Code Definition
Codemonths
DefinitionA return time of months
Source
Code Definition
Codeundefined
DefinitionAn undefined return time
Source
Code Definition
Codeweeks
DefinitionA return time of weeks
Source
Code Definition
Codeyears
DefinitionA return time of years
Source
Unitdegree
Typereal
Unitdegree
Typereal
DefinitionName of continent or ocean basin where event occurred
DefinitionCountry where study was conducted
DefinitionDate of when the event began, in format MMYYYY or YYYY if month is unknown
DefinitionType of ecosystem observed in the study
DefinitionPropoer name of the ecosystem observed in the study, if available
DefinitionDate of when sampling began, in format MMYYYY or YYYY if month is not available
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codedays
Definitionsamples were collected over days
Source
Code Definition
Codemonths
Definitionsamples were collected over months
Source
Code Definition
Codenone
Definitionno sampling occurred prior to event
Source
Code Definition
Codesingle sample
Definitiona single sample was collected prior to the event
Source
Code Definition
Codeweeks
Definitionsamples were collected over weeks
Source
Code Definition
Codeyears
Definitionsamples were collected over years
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codedays
DefinitionSamples were collected over days
Source
Code Definition
Codehours
DefinitionSamples were collected over hours
Source
Code Definition
Codemonths
DefinitionSamples were collected over months
Source
Code Definition
Codenone
DefinitionSamples were not collected during the event
Source
Code Definition
Codesingle sample
DefinitionA single sample was collected during the event
Source
Code Definition
Codeweeks
DefinitionSamples were collected over weeks
Source
Code Definition
Codeyears
DefinitionSamples were collected over years
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codedays
DefinitionSampling occurred over days after the event
Source
Code Definition
Codemonths
DefinitionSampling occurred over months after the event
Source
Code Definition
Codenone
DefinitionNo sampling occurred after the event
Source
Code Definition
Codesingle sample
DefinitionA single sample was collected after the event
Source
Code Definition
Codeweeks
DefinitionSampling occurred for weeks after the event
Source
Code Definition
Codeyears
DefinitionSampling occurred for years after the event
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeN
DefinitionNo
Source
Code Definition
CodeY
DefinitionYes
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1-10 sq m
DefinitionBetween 1 and 10 square meters
Source
Code Definition
Code10-100 sq m
DefinitionBetween 10 and 100 square meters
Source
Code Definition
Code100-1000 sq m
DefinitionBetween 100 and 1000 square meters
Source
Code Definition
Code<1 sq m
DefinitionLess than 1 squre meter
Source
Code Definition
Code>1000 sq m
DefinitionMore than 1000 square meters
Source
Code Definition
CodeRegional/Continent
DefinitionSampling unit extended across a regional or continental spatial scale
Source
Code Definition
Codeundefined
DefinitionNo spatial scale was given for sampling unit
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeN
DefinitionNo
Source
Code Definition
CodeY
DefinitionYes
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1-10 sq m
DefinitionBetween 1 and 10 square meters
Source
Code Definition
Code10-100 sq m
DefinitionBetween 10 and 100 square meters
Source
Code Definition
Code100-1000 sq m
DefinitionBetween 100 and 1000 square meters
Source
Code Definition
Code<1 sq m
DefinitionLess than 1 square meter
Source
Code Definition
Code>1000 sq m
DefinitionMore than 1000 square meters
Source
Code Definition
CodeRegional/Continental
DefinitionGeographic extent across a region or contient
Source
Code Definition
Codeundefined
DefinitionNo spatial extent defined for the study
Source
DefinitionDid the authors define what qualifies as an extreme event? Statistical definition: include return interval, or mentioning standard deviation/variance from normal.
DefinitionLevel of biological organization that best represents the focus of this biological response
DefinitionOrganismal group for this biological response.
DefinitionTrophic level of this biological response
DefinitionDirection of this biological response
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
Definitionnot available
Source
Code Definition
Codeextreme - non-sig
DefinitionAn extreme but not statistically significant response
Source
Code Definition
Codeextreme - sig
DefinitionAn extreme and statistically significant response
Source
Code Definition
Codelarge - non-sig
DefinitionA large and not statistically significant response
Source
Code Definition
Codelarge - sig
DefinitionA large and statistically significant response
Source
Code Definition
Codelarge - sig not tested
DefinitionA large response for which significance was not tested
Source
Code Definition
Codeno response
DefinitionNo response was observed
Source
Code Definition
Codesmall - non-sig
DefinitionA small and not statistically significant response
Source
Code Definition
Codesmall - sig
DefinitionA small and statistically significant response
Source
Code Definition
Codeunspecified/unclear
DefinitionThe reponse effect size was not clearly explained in the text
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
Codeno response
DefinitionNo biological response was measured
Source
Code Definition
Codenot sig
DefinitionEffect size of biological response was not statistically significant
Source
Code Definition
Codesig
DefinitionBiological effect size was statistically significant
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
CodeN
DefinitionNo
Source
Code Definition
CodeY
DefinitionYes
Source
DefinitionA broad category for physical response
DefinitionType of physical response measured
DefinitionFurther clarify the phyiscal response measured if necessary
DefinitionDirection of this physical response
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
Codeextreme - non-sig
DefinitionAn extreme but not statistically significant effect size
Source
Code Definition
Codeextreme - sig
DefinitionAn extreme and statistically significant effect size
Source
Code Definition
Codelarge - non-sig
DefinitionA large but not statistically significnat effect size
Source
Code Definition
Codelarge - sig
DefinitionA large and statistically significant effect size
Source
Code Definition
Codelarge - sig not tested
DefinitionA large effect size for which statistical significance was not tested
Source
Code Definition
Codeno response
DefinitionNo effect on the physicall response
Source
Code Definition
Codesmall - non-sig
DefinitionA small but not significant effect size
Source
Code Definition
Codesmall - sig
DefinitionA small and statistically significnat effect size
Source
Code Definition
Codesmall - sig not tested
DefinitionA small effect size for which significance was not tested
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
Codeno response
DefinitionNo physical response was measured
Source
Code Definition
Codenot sig
DefinitionEffect size of the physical response was not statistically significant
Source
Code Definition
Codesig
DefinitionEffect size of the physical response was statistically significant
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
CodeN
DefinitionNo
Source
Code Definition
CodeY
DefinitionYes
Source
DefinitionBroad category for chemical response
DefinitionSpecific category for chemical response
DefinitionElement or material measured for this chemical response
DefinitionDirection of this chemical response
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
Codeextreme - non-sig
DefinitionAn extreme but not statistically significant effect size
Source
Code Definition
Codeextreme - sig
DefinitionAn extreme and statistically significant effect size
Source
Code Definition
Codeextreme - sig not tested
DefinitionAn extreme effect size for which statistical significance was not tested
Source
Code Definition
Codelarge - non-sig
DefinitionA large and not statistically significant effect size
Source
Code Definition
Codelarge - sig
DefinitionA large and statistically significant effect size
Source
Code Definition
Codelarge - sig not tested
DefinitionA large effect size for which statistical significance was not tested
Source
Code Definition
Codeno response
DefinitionNo chemical response was measured
Source
Code Definition
Codesmall - non-sig
DefinitionA small and not statistically significant effect size
Source
Code Definition
Codesmall - sig
DefinitionA small and statistically significant effect size
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
Codeno response
DefinitionNo chemical response was measured
Source
Code Definition
Codenot sig
DefinitionEffect size of chemical response was not significant
Source
Code Definition
Codesig
DefinitionEffect size of chemical response was statistically significant
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codenan
DefinitionNo data
Source
Code Definition
CodeN
DefinitionNo
Source
Code Definition
CodeY
DefinitionYes
Source
Missing Value Code:          
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
 
CodeNA
ExplNo value available
CodeNA
ExplNo value available
 
CodeNA
ExplNo value available
CodeNA
ExplNo value available
     
CodeNA
ExplNo value available
CodeNA
ExplNo value available
 
CodeNA
ExplNo value available
 
Codenone
ExplNo value available
Codenone
ExplNo value available
Codenone
ExplNo value available
         
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplCategory for chemical response
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
CodeNA
ExplNo value available
Accuracy Report:                                                                                                      
Accuracy Assessment:                                                                                                      
Coverage:                                                                                                      
Methods:                                                                                                      

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
(No thesaurus)extreme event, coastal, Eco-DAS
LTER Controlled Vocabularyfreshwater, marine, climate change, long term

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

To examine how ecologists study the effects of extreme events in aquatic ecosystems, we reviewed the scientific literature using the Web of Science Core Collection. Our search included all peer-reviewed English-language peer-reviewed publications available from Web of Science and published from 1965 to Feb 14, 2019. We searched using the terms shown below to target three categories of ecosystems (freshwater, coastal, and marine) and four types of extreme events (heatwaves, storms, floods, and drought). We searched separately for the three ecosystem types but combined all search results and removed duplicates. We targeted heatwaves, storms, floods and droughts, as these are the most commonly described extreme event types in the rapidly expanding climate attribution literature; however, we were not exclusively interested in these event types. Some papers described other types of extreme events, e.g. an extreme cold spell. To investigate a broader range of the extreme event literature, we included these papers, provided they met the other inclusion criteria by including observations of ecological responses to an extreme event occurring in an aquatic ecosystem. We excluded papers if they did not include observations of an extreme event but rather (1) used extrapolation or modeling to predict the effects of a hypothetical extreme event; (2) were review papers that discussed extreme events; (3) were manipulative experimental work; or (4) were focused on terrestrial systems or paleoclimatology. We focused on observations of extreme events to understand how ecologists research these events and their ecological responses in situ and to explore challenges with observational approaches, such as capturing spatial and temporal variation. Overall, the search yielded 215 unique papers, 49 of which we included in this dataset, after excluding papers not meeting the criteria described above.

Search terms used in the 'Topic' search of Web of Science, which searches title, abstract, and keywords:

ecology AND extreme event AND (aquatic OR freshwater OR stream OR lake OR river OR creek OR wetland OR coast* OR estuar* OR *tidal OR marine OR ocean) AND (heat* OR temperature OR warm* OR storm OR wind OR hurricane OR typhoon OR cyclone OR flood OR precipitation OR drought OR desiccation)

After conducting the search, we had 215 publications to assess. We read each publication to determine if it met the inclusion criteria described above, leaving a total of 49 papers to include in the review. We then read each paper to extract the information for this dataset. This includes specific information on the location, type and spatial and temporal extent of extreme event, how the authors defined the extreme nature of the event, the ecosystem the authors studied, the types of biological, physical, and chemical parameters that were measured in response to the event, the magnitude of the responses, the spatial and temporal extent of sampling, and whether the authors specifically linked the event to climate change. We verified the information extracted from the papers first by conducting training sessions to ensure all co-authors of the dataset approached the data extraction in a similar way and second by having at least two co-authors read each paper and verify the information extracted by the other reader.

After extracting the information, we synthesized and visualized the data to understand ecological research approaches.

Note that although we included 49 papers in the review, the dataset includes 197 entries, as entries correspond to specific biological, chemical, and physical response parameters measured in the study. Many studies measured more than one parameter, leading to multiple entries per study.

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Lillian R Aoki
Organization:University of Oregon
Email Address:
laoki@uoregon.edu
Id:https://orcid.org/0000-0002-2792-0523
Individual: Margaret M Brisbin
Organization:Woods Hole Oceanographic Institution
Id:https://orcid.org/0000-0001-7756-0039
Individual: Alexandria G Hounshell
Organization:Virginia Tech
Id:https://orcid.org/0000-0003-1616-9399
Individual: Dustin W Kincaid
Organization:University of Vermont
Id:https://orcid.org/0000-0003-1640-685X
Individual: Erin Larson
Organization:Alaska Pacific University
Id:https://orcid.org/0000-0002-7797-0529
Individual: Brandon J Sansom
Organization:SUNY University at Buffalo
Id:https://orcid.org/0000-0001-7999-9547
Individual: Arial J Shogren
Organization:Michigan State University
Id:https://orcid.org/0000-0002-1284-3836
Individual: Rachel S Smith
Organization:University of Virginia
Id:https://orcid.org/0000-0002-8713-126X
Individual: Jenna Sullivan-Stack
Organization:Oregon State University
Id:https://orcid.org/0000-0003-0114-1019
Contacts:
Individual: Lillian R Aoki
Organization:University of Oregon
Email Address:
laoki@uoregon.edu
Id:https://orcid.org/0000-0002-2792-0523

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1960
End:
2016
Geographic Region:
Description:Studies were reviewed from the English-language scientific literature; the bounding coordinates represent the geographic extent encompassing all study sites. Individual study locations are available in the data set.
Bounding Coordinates:
Northern:  58.997178Southern:  -77.7
Western:  -136.165847Eastern:  169.800054

Project

Parent Project Information:

Title:Assessment of ecological research approaches for the study of extreme events in aquatic ecosystems
Personnel:
Individual: Lillian R Aoki
Organization:University of Oregon
Email Address:
laoki@uoregon.edu
Id:https://orcid.org/0000-0002-2792-0523
Role:Principal Investigator

Maintenance

Maintenance:
Description:

This dataset supports a journal publication. The full data set is complete and unlikely to be updated in future.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n        '
        |___element 'metadata'
        |     |___text '\n            '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2022.02.04'
        |     |___text '\n        '
        |___text '\n    '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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