Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced ways, which creates challenges for practitioners of fish conservation, climate change adaptation, and management. Although climate change is known to affect fish globally, a comprehensive online, public database of how climate change has impacted inland fishes worldwide and adaptation or management practices that may address these impacts does not exist. We conducted an extensive, systematic primary literature review to identify peer-reviewed journal publications describing projected and documented examples of climate change impacts on inland fishes. From this standardized Fish and Climate Change database, FiCli (pronounced fick-lee), researchers and managers can query fish families, species, response types, or geographic locations to obtain summary information on inland fish responses to climate change and recommended management actions. The FiCli database is updatable and provides access to comprehensive published information to inform inland fish conservation and adaptation planning in a changing climate.
Adaptation • response to climate change • freshwater fishes • management practices
geographic location • date range of study
Sample Characteristic - Organism
Sample Characteristic - Environment
climate system • lake • stream • wetland ecosystem • freshwater biome
Sample Characteristic - Location
Europe • Asia • Africa • North America • South America • Australia • Oceania
Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12053385
Background & Summary
Freshwater fishes have important subsistence, cultural, and economic value worldwide (Lynch et al.)1. However, freshwater ecosystems are among the most threatened on the planet with freshwater fishes showing the highest extinction rate among vertebrates in the 20th century (Burkhead 2012)2. The key anthropogenic pressures facing freshwater ecosystems are water extraction, habitat degradation, overexploitation, invasive species, and climate change (Reid et al.)3. These pressures occur at local, regional, and global scales and can have broad impacts on the life history, demography, and distribution of freshwater fishes (Costello 2015, Arthington et al.)4,5. In many cases freshwater fishes are limited in their ability to shift their distributions in response to climate change, increasing the vulnerability of many populations relative to marine fishes or terrestrial species. The value of inland freshwater fisheries has also been overshadowed by the magnitude of marine fisheries, but recent studies are revealing the value of these fisheries worldwide (Lynch et al.)1.
Systematic literature reviews in aquatic ecology provide information on large scale trends in ecosystem change, broader impacts of effects across diverse taxa and geographic location, and are especially important in management and policy-making (Haddaway et al.)6. While meta-analyses presented in these review papers are useful, extracting the underlying data from primary studies may be difficult because the database of original papers and information contained in the review paper are not readily accessible. Such reviews on the impacts of climate change on inland fishes have revealed increasing documentation of the effects of changes in temperature, precipitation, and other climate variables on fishes, but the effects are often interacting and complex. As a result, it can be difficult to capture all the dynamics and nuances in a single review paper (Comte et al., Lynch et al., Kovach et al., Myers et al.)7,8,9,10.
The creation of the Fish and Climate Change database (FiCli; pronounced fick-lee) draws from our personal attempts to systematically interpret information on climate change effects on inland fishes. We found little standardized information with which to evaluate responses across taxa, functional groups, and geographic regions. Therefore, we extracted and synthesized data from individual studies using a consistent format as a means to allow users to quantitatively assess broader relationships and make inferences, particularly for understudied species and regions. Potential adaptation or management actions have also been incorporated into the database when available. One of the major assets of FiCli is the built-in flexibility to add new studies. As these studies are integrated, our confidence in the responses, relationships, and metrics will increase and strengthen the ability of this resource to inform science-based management and adaptation planning.
The goal for the FiCli database is to inform the development of conservation, management, and climate adaptation plans for inland fishes that integrate and prioritize scientific, logistical, financial, or regulatory actions when appropriate. The FiCli database was created using an established systematic literature review process with predefined inclusion criteria and multiple rounds of review and data extraction by fisheries experts (Myers et al.)10. With at least 15,000 freshwater fish species and 170 taxonomic families identified worldwide (Lévêque et al.)11, there remain significant geographic, taxonomic, and biological gaps in our understanding of climate change effects on freshwater fishes globally (Myers et al.)10. The FiCli database currently includes information for 53 freshwater fish families, 232 studies from over 47 countries, and 851 projected and 377 documented responses of individual species or assemblages to climate change. Each entry in the FiCli database includes the species studied, location, thermal guild classification, biotic metric studied, and direction of biotic metric response (Fig. 1). The database can be queried to assess the vulnerability of species to climate change given changes in their evolution, demography, distribution, assemblage dynamics, or phenology, and to identify adaptation and management actions that are recommended in the scientific literature to address those impacts (Figs. 2 and 3). Users can also summarize whether the documented or projected fish responses to climate change could have a positive, negative, mixed, or unknown benefit to the species, population, or assemblage (Fig. 3). This unique synthesis currently comprises projected and documented studies between 1985 and 2018 and can serve to focus species, population, assemblage, or ecosystem research priorities because different filters can be applied to identify knowledge gaps. Informed predictions about climate change effects for under- or unrepresented species can then be generated using projections and observations among conspecifics or surrogate species or ecosystems. The FiCli is a living database that will be updated by its curators as new studies are published, and users also have the opportunity to inform curators of peer-reviewed publications that should be considered for addition to the database.
Database, R-Shiny and Decision Path Tool
The FiCli database was generated from a review of primary scientific literature from 1985 to 2018. The year 1985 was a conservative choice for representing the earliest publications of effects of climate change on fishes, based on initial searches. The database initially included primary journal articles on climate change effects for North American inland fishes (Lynch et al.)8 and was then expanded to include global coverage for publications that explicitly assessed the projected and documented effects of climate change on inland fishes (Myers et al.)10. These papers were partitioned into studies documenting effects of climate change on fishes (“documented effects,” generally based on long-term datasets) or through projections of future effects (“projected effects,” often by applying modeling approaches). Some studies included both documented and projected effects.
We present a brief description of the criteria used for inclusion of papers in the database based on previous literature reviews (Lynch et al., Myers et al.)8,10. Our literature review included multiple rounds of review by team members to ensure appropriateness for inclusion in the dataset. We then re-reviewed all papers in the database to identify suggested management recommendations and a binary response category to illustrate whether the species or population exhibited, or were projected to exhibit, a positive, negative, mixed, unknown, or no effect of climate change. For example, increases in growth and distribution were considered to positively benefit the species, while earlier or later spawning time was considered to be an unknown effect. This binary response category is a coarse indicator of direction of response to climate change and was determined based on the interpretation of results presented in the reviewed paper and our best judgement. For ease of interpretability, the management recommendations were binned into eleven overarching categories (Table 1).
In order to allow public access to the database, the FiCli database is available as a R-Shiny application supported by the U.S. Geological Survey (USGS), National Climate Adaptation Science Center (available here: https://ficli.shinyapps.io/database/) and does not require installation of the R program. All data and the R-Shiny application code are made available by USGS (https://doi.org/10.5066/P9VKJ23R). The online FiCli database is dynamic, and new papers will continue to be added on a rolling basis as they are published. A web upload form on the R-shiny site allows user-submitted database entries that will be reviewed by the FiCli team and added as appropriate. Future plans include: (1) expansion and re-release of the FiCli database to include studies with a primarily marine focus, and (2) inclusion of papers that use experimental approaches to describe fish response to changes in temperature and flow in the context of climate change; such studies were initially excluded from ours and previous literature reviews (Lynch et al., Myers et al.)8,10.
The FiCli database includes summarized data on study systems, species, climate change responses, and adaptation and/or management actions into standardized categories that can inform species vulnerability assessments and adaptation planning (Online-only Table 1). Information was extracted from each peer-reviewed publication that the author team identified for the systematic literature review. A series of filters have been embedded into the application for customizable searches (Online-only Table 1). A graphic description of the results can be generated within the R-shiny application (Fig. 2), and detailed summaries can be exported as Bibtex or Ris files. The original raw data tables used to create the FiCli database are also available on Figshare (Krabbenhoft et al.)12.
The literature compilation and summary presented in the FiCli database have been reviewed and validated by multiple approaches. Each publication included in the database has been reviewed for content at two levels: (1) a cursory inspection for applicability and (2) a detailed review to extract relevant information entered into summary categories (i.e., database columns). The information included in each reference entry (i.e., database rows) was then reviewed by another author of the database.
Many of the references included in the database formed the basis of two recent primary literature synthesis publications by this group of authors. The first publication (Lynch et al.)8 synthesized climate trends that influence North American inland fish populations and assemblages and included case studies illustrating the discerned trends. The second publication (Myers et al.)10 was a global synthesis of documented and projected climate change effects on inland fishes. Thus, the literature references provided in the database have undergone review for accuracy and content by multiple authors of this publication, internal reviewers of these three publications, and journal referees of each publication. The authors who have collaborated on this and the previous two publications represent a diverse background of expertise (multiple fields in conservation and ecology), professional affiliation (natural resource agency or academia), and geographic location (throughout the United States of America and Canada).
The USGS, an affiliation of multiple authors, requires internal review of science products, including manuscripts for publication and data incorporated into publications. The database contents were reviewed and made publicly available through a Data Management Plan required of all USGS science products, and the manuscript was reviewed internally in adherence to the Fundamental Science Practices process. The USGS review process is intended to ensure and enhance the quality, accuracy, and availability of all science products released to the public and scientific community.
The references included in the database were derived through a systematic literature review, and information included in the database has been intensively reviewed. Though the literature included was considered thorough, it is unlikely to be exhaustive, especially as new science is published. Semi-annual updates to the database are planned. The most recent update date will be provided in the metadata. Further, we summarize key information extracted from individual publications on the documented or projected impacts of climate change on inland fish globally, but we have not reviewed each publication for accuracy and rely on the journal peer-review process to ensure scientific quality, accuracy, and integrity.
In conclusion, climate change will continue to impact inland fish populations and assemblages, productivity, and overall biodiversity (Diaz et al., Till et al.)13,14. The full extent of the consequences of climate change on inland waters is yet to be known, but inland fish and fisheries are changing with implications for human use of these natural resources. The FiCli database will make the most up-to-date peer-reviewed information of climate change impacts on inland fish easily accessible and will serve to provide information to managers and policy makers on actions to enhance climate change adaptation in inland waters.
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We thank Sapna Sharma, Kevin Pope, and two anonymous reviewers for constructive feedback on the manuscript, as well as Sarah Weiskopf for data review. We also thank all authors from the previous review manuscripts (Lynch et al.; Myers et al.)8,10 in the development of this database. Special thanks to Candace Engel, Ashley Robertson, and Lauren Craige for their help in identifying and reviewing literature. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The participating Cooperative Fish and Wildlife Research Units (CFWRU) are sponsored jointly by the U.S. Geological Survey, U.S. Fish and Wildlife Service, and Wildlife Management Institute in addition to state and university cooperators: Alaska Department of Fish and Game and University of Alaska Fairbanks (Alaska CFWRU), Missouri Department of Conservation and University of Missouri (Missouri CFWRU), and North Carolina Wildlife Resources Commission and North Carolina State University (North Carolina CFWRU). Funding for workshops (see ref. 8) that led to the FiCli database was provided by the American Fisheries Society with in-kind support from U.S. Geological Survey, National Climate Adaptation Science Center and U.S. Geological Survey, Missouri Cooperative Fish and Wildlife Research Unit.
The authors declare no competing interests.
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Krabbenhoft, T.J., Myers, B.J.E., Wong, J.P. et al. FiCli, the Fish and Climate Change Database, informs climate adaptation and management for freshwater fishes. Sci Data 7, 124 (2020). https://doi.org/10.1038/s41597-020-0465-z
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