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Assessing the global distribution of river fisheries harvest: a systematic map protocol

Environmental EvidenceThe official journal of the Collaboration for Environmental Evidence20176:29

https://doi.org/10.1186/s13750-017-0107-x

Received: 24 May 2017

Accepted: 26 October 2017

Published: 4 December 2017

Abstract

Background

Although surface freshwater comprises < 0.01% of the total water volume of earth, freshwater inland capture fisheries and aquaculture represent 40% of the global reported finfish harvest. While the social, economic, and ecological importance of inland fish and fisheries is difficult to overstate, they are often undervalued and underappreciated. Accurate information about these highly dispersed fisheries is inherently difficult to acquire, often unreported, and not collected in a standardized format globally. A standardized river fishery database is needed for managing aquatic systems as well as for defining relevant development policies. Here, we describe our methodology to search, identify, and describe available river fisheries information to create a harmonized global database of river fisheries harvest. This database will provide the first global database of spatially and temporally explicit river fisheries data. The database can be used to identify locations, hotspots of data collection, and gaps in existing knowledge and will be especially important to inform studies and management at larger spatial scales (i.e., watershed, regional, or global scales). This database will also be critical for developing fish biomass models for rivers, which can provide managers with information critical for decision-making, such as improved valuation methods for river fish and fisheries.

Methods

This systematic map protocol describes the methodology to search, identify, and describe available information on river fish and fisheries across the globe. We define river fisheries as “both capture and aquaculture of river finfish species for food, income, or recreation”. River fish species are those finfish that live part, or all of their lives in rivers. The searches will be conducted for the period from 1950 to present using bibliographic databases and grey literature sources. To identify relevant evidence, pre-defined inclusion and exclusion criteria will be used to screen articles at title, abstract, and full text. A searchable database containing extracted meta-data from relevant included studies will be developed and presented as a geodatabase. The final systematic map will consist of a descriptive narrative report of the distribution and content of river fish literature including a geodatabase of available information.

Keywords

Freshwater fishInland fishAquatic ecosystemsWatershedsSpatial distributionGlobalMapLimnologyRiver Basin

Background

River fisheries, defined as both capture and aquaculture of river fish species for food, income, or recreation contribute substantially to meeting challenges faced by individuals, society, and the environment in a changing global landscape [1, 2]. For example, in the Lower Mekong Basin, 80% of the 60 million inhabitants directly rely upon the river fisheries for food and livelihoods [3]. Additionally, with upwards of 1700 fish species, the Mekong River is a global ‘hotspot’ of fish biodiversity [4], so understanding the relationship between the human fisheries system and the natural ecological system is critical for maintaining both the biodiversity of the resident fishes and well-being of the local human communities in the area. While the social, economic, and ecological importance of inland fish and fisheries is difficult to overstate, they are often undervalued and underappreciated [5]. This is due to the fact that accurate information about these highly dispersed fisheries is inherently difficult to acquire, often unreported, and not collected in a standardized format globally [6, 7]. Consequently, these fisheries are often given low priority in planning and policy discussions relative to other uses of river ecosystem services such as drinking water, agriculture, or energy production [5, 8].

Data related to riverine fisheries are not collected in any standardized format globally [9] and thus the extent and distribution of these fisheries has never been adequately assessed in aggregate. Targeted analyses have been conducted on certain river systems such as the Mekong [10, 11], or regions such as Southeast Asia [12] but the approaches (e.g., consumption surveys, intensive field sampling) would not be feasible at a global scale due to the cost and effort involved [13]. Most river fisheries are highly diffuse and small-scale in nature and in areas lacking necessary infrastructure for regular reporting, so the data collection that is occurring is generally not systematically distributed, but instead tend to be focused in the most developed countries [14]. Understanding the catch trends and predictions of river fisheries harvests is critical for the future of stakeholders who depend on these systems for food and livelihoods, but these fisheries harvests have not yet been quantitatively assessed at the global level in the ways that marine fisheries have been [15, 16].

The proposed systematic map protocol will provide a database of river fish harvest and assessment of available data. This study will also provide the first spatially and temporally located systematic map of river fisheries data regarding what species are fished, how much fish are being fished, and how those fish are being removed from river systems (for a systematic review of marine fisheries, see Chassot et al. [17]). It will provide location information where available as well as an overview of the knowledge base, including hotspots of data collection and information gaps in our knowledge base and will be especially important to studies and management at larger spatial scales (i.e., watershed, regional, or global scales). This database will be useful for biodiversity conservation as well as research including improving valuation methods for river fish and fisheries to more accurately recognize the full breadth of provided services or for assessing the relative importance of river fisheries to human populations globally. These data are necessary to develop biomass models that can be used to predict how river fishery could change under different scenarios, particularly in the context of global change [18]. In doing so, river fish and fisheries can be better incorporated into decision making to support sustainable river fish and freshwater management. As recently described for North American inland fisheries, inland waters often have multiple public uses and management goals may be overlapping, conflicting, or mutually dependent [19]. Resolving these interactions depends on the availability of accurate data and models to predict current fishery production and forecasts given pending local, regional, and global changes.

Identification of the topic

The “Rome declaration: ten steps to responsible inland fisheries” [20] synthesized the results of the 2015 global conference on inland fisheries of nearly 250 scientists, policy makers, and members of the development community from more than 40 countries, into a list of ten key actions to help ensure sustainable inland fisheries. This declaration was emphatically endorsed by the member parties at the 2016 FAO committee on fisheries as a sign of growing recognition of the importance of inland freshwater fisheries in many countries. The first step in this list is to “improve the assessment of biological production” of inland fisheries. The work described in this protocol was identified as a principal need to address this critical knowledge gap and has been since refined by the research team. A companion study focused on inland lakes was conducted by other members who participated in the 2015 global conference [21]. Ultimately, the goal of the conference and its outcomes is to improve the sustainability of freshwater aquatic resources and to bring greater awareness of the value and sustainability challenges of inland fisheries around the world [20].

Objective of the map

This project aims to identify, collate, and describe information on the geographical distribution of river fish harvest. Relevant information consists of fisheries-dependent and fisheries-independent data on river fish, including where and how river fish were captured. Data on river fisheries harvest will be identified and collected using the systematic mapping method described below.

Systematic mapping provides a comprehensive, transparent, and objective method for collecting and describing the state and distribution of current knowledge on a topic [22]. Through systematic mapping, our research attempts to fill the river fisheries knowledge gap by aggregating river fishery data globally. We expect two products from this endeavor:
  1. 1.

    River fisheries database (available at no cost online through a USGS portal).

     
  2. 2.

    Systematic map of the state of river fisheries information (submitted for publication in this journal).

     

These products will provide an important data resource for researchers, policy makers, and managers of river fisheries and will be used for assessing variation and trends in river fisheries or for modeling production and predicting changes due to factors such as climate or land–water use change. This information may also be used as a basis for future quantitative systematic review questions related to the map findings, such as modeling changes in harvest over time or impacts from different harvest methods.

Primary question

What is the global distribution of river fisheries harvest?

This question targets information about the distribution and scale of an activity, so can be broken down into three main components using the “PIO” format; the population (P), the intervention (I), and the outcome (O) per Table 1. In the case of this study, the intervention is actually an activity, though the question formation follows the same PIO format as interventions.
Table 1

Key elements of the primary review question

Population

Fish populations within river systems

Intervention

Capture of populations and communities of finfish for food, income, or recreation [19]

Outcome

Any reported distinct information on fish harvest biomass. The targeted data include species, weight, time, location, or changes in fish biomass

Methods

Searches

River list

The geographic scope of this initial systematic map targets 60 rivers around the world (Table 2). These rivers were identified by selecting (1) the largest rivers by drainage size that are currently flowing [23, 24], and (2) the most intensely harvested rivers according to the expert opinion of the authors as well as consultation with a subject matter expert (Cowx, University of Hull, pers. comm.). These criteria were used as a starting point to focus our global analysis on the largest and most intensely harvested rivers where data should be more readily available in comparison to smaller rivers or streams. Each river search will be conducted independently and the names of the rivers are used in the search process described below.
Table 2

Target rivers as identified by Vörösmarty et al. [23, 24] and Cowx (pers. comm.)

Continent

River Basin

Africa

Charia

Congo/Zaireab

Gambiab

Jubbaa

Limpopoab

Nigerab

Nileab

Okavangob

Orangea

Rufijib

Senegalab

Voltab

Zambeziab

Asia

Amu-Daryaa

Amurab

Ayrewaddyb

Brahmaputraab

Chang Jiang/Yangtzeab

Chao Phrayab

Gangesab

Huang He/Yellowa

Indusab

Kolymaa

Lenaab

Mahakamb

Mekongab

Ob/Irtyshab

Pearl/Zhujiang/Cantonb

Red/Yuan/Hóng Héb

Salween Riverb

Shatt el Araba

Syr-Daryaa

Tarima

Yeniseiab

Europe

Danubeab

Dnepra

Dona

Rhineb

Uralb

Volgaab

North America

Colorado (USA/Mexico)ab

Columbiaa

MacKenziea

Mississippiab

Missourib

Nelsona

Rio Grandeab

St. Lawrencea

Yukonab

South America

Amazonab

Colorado (Argentina)a

Magdalenab

Orinocoab

Paranáab

Sao Franciscob

Tocantinsab

Oceania

Great Artesiana

Murray–Darlingab

Sepikb

aVorosmarty et al. [23, 24]

bExpert opinion

Search terms

Search terms were developed using keywords from fisheries articles then tested against a list of relevant articles from an independent literature review provided by a colleague (Cowx, University of Hull, pers. comm.). Additional file 1 describes the preliminary search process and provides the original search terms used for scoping. The final list of search terms reflects the need to include river names to target relevant terms given the broad scope of the research question. In some cases, the initial searches returned millions of results via Google Scholar and this strategy is aiming for a more targeted, relevant database consisting of hundreds of files. Additional search terms from the original test set did not increase the number of relevant articles returned from the search and were thus eliminated; however, the search string may be modified during the full searches as necessary. Search terms used for each river are provided in Additional file 1 and will be included as part of final project metadata and supplemental information.

All searches will be conducted in web browsers with cookies and browser history disabled and in private settings (e.g., using “incognito mode” in ‘Google Chrome’) to reduce bias generated by user-specific returns.

Databases and search engines

Table 3 provides a list of the databases, search engines, and organizational sites that will be searched. The large amount of grey literature sites (67) reflect the amount of practitioner-based research and data generated regarding inland fisheries. This list of databases, search engines, and sites was designed to return as comprehensive set of broad range results as possible by including both general search engines (i.e., Google Scholar), databases (i.e. Web of Science) and institutional specific databases [25]. Colleagues and participants of the global conference on inland fisheries also reviewed and suggested additions to the list to increase inclusivity of global regions. Organizations were selected based on involvement in river fisheries and potential for hosting relevant data because they are known by our team or collaborators to either collect or aggregate river fishery data.
Table 3

Search sources

 

Publication databases/search engines

Website

1

Web of Science Core Collections

https://webofknowledge.com

2

Google Scholar

https://scholar.google.com

3

SciVerse Scopus

http://www.info.sciverse.com

4

Proquest Aquatic Science Collection

http://proquest.libguides.com/asfa

5

China Knowledge Resource Integrated Database

http://kns.cnki.net

6

Baidu Scholar

http://xueshu.baidu.com

 

Grey literature sites

Website

1

A Rocha International

http://www.arocha.org

2

BirdLife International

http://www.birdlife.org

3

CARE International

http://www.care-international.org

4

Caribbean Natural Resources Institute

http://www.canari.org

5

Catholic Agency for Overseas Development (CAFOD)

http://www.cafod.org/uk

6

Centre for Environment, Fisheries and Aquaculture Science

http://www.cefas.co.uk

7

Centre for International Forestry Research (CIFOR)

http://www.cifor.org

8

Conservation International

http://www.conservation.org/Pages/default.aspx

9

Convention on Biological Diversity

http://www.cbd.int

10

Department for International Development (DFID), UK

http://www.gov.uk/government/organisations/department-for-international-development

11

European Commission Joint Research Centre

http://www.ec.europa.eu/dgs/jrc

12

European Fisheries and Aquaculture Research Organisation

http://www.efaro.eu

13

FAO Fisheries and Aquaculture Department

http://www.fao.org/fishery/en

14

Freshwater Ecoregions of the World

http://www.feow.org/globalmap

15

Global Environment Facility

http://www.thegef.org

16

Global Freshwater Biodiversity Atlas

http://atlas.freshwaterbiodiversity.eu

17

Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES)

http://www.ipbes.net

18

International Collective in Support of Fishworkers

https://igssf.icsf.net/index.php

19

International Development Research Centre (IDRC)

https://www.idrc.ca

20

International Institute for Environment and Development (IIED)

http://www.iied.org

21

International Rivers

https://www.internationalrivers.org

22

International Union for Conservation of Nature (IUCN)

http://www.iucn.org

23

Marine Resources Assessment Group

http://www.mrag.co.uk

24

North American Native Fishes Association

http://www.nanfa.org/links.shtml

25

The Nature Conservancy

http://www.nature.org

26

Organisation for Economic Co-operation and Development (OECD)

https://www.oecd.org

27

Stockholm Environment Institute

https://www.sei-international.org

28

United Nations Environment Programme

http://www.unep.org

29

United Nations Environment Programme-World Conservation Monitoring Centre

http://www.unep-wcmc.org

30

United Nations Development Programme

http://www.undp.org

31

United States Agency for International Development (USAID)

http://www.usaid.gov

32

Wetlands International

https://www.wetlands.org

33

Wildlife Conservation Society (WCS)

http://www.wcs.org

34

World Bank

http://www.worldbank.org

35

WorldFish

http://www.worldfishcenter.org

36

World Resources Institute

http://www.wri.org

37

Worldwide Wildlife Fund (WWF)

http://wwf.panda.org

 

Country/regional sites

Website

1

African Caribbean, and Pacific Group of States Fish II Programme

http://acpfish2-eu.org

2

ADB, African Development Bank

http://www.afdb.org

3

Australia—Commonwealth Scientific and Industrial Research Organisation

http://www.csiro.au

4

Biodiversity Information System for Europe

http://biodiversity.europa.eu/topics/species/freshwater-fishes

5

Canada—Federal Science Library (Combines ECC, DFO, and WAVES databases)

http://science-libraries.canada.ca/eng/home/

6

Denmark—Denmark-Danish Centre for Environment and Energy

http://dce.au.dk

7

England—Centre for Environment, Fisheries and Aquaculture Science

http://www.cefas.defra.gov.uk

8

Eurofish

http://www.eurofish.dk

9

Finland—Natural Resource Institute Finland

http://www.luke.fi

10

Finland—Finland’s environmental administration

http://www.environment.fi

11

Germany—Leibniz Institute of Freshwater Ecology and Inland Fisheries, IGB

http://www.igb-berlin.de

12

Germany—Senckenberg

http://www.senckenberg.de

13

India—Central Institute of Fisheries Technology

http://www.cift.res.in/innercontent.php?contentid=NTAx

14

Lake Tanganyika Authority

http://lta.iwlearn.org

15

Lake Victoria Basin Commission

https://www.lvbcom.org

16

Lake Victoria Fisheries Organization

http://www.lvfo.org

17

Murray–Darling Basin Authority

http://www.mdba.gov.au

18

Myanmar/Thailand/Laos/Vietnam-Mekong River Commission

http://www.mrcmekong.org

19

Netherlands Institute of Ecology

http://www.nioo.knaw.nl

20

Netherlands—Royal Netherlands Institute of Sea Research

http://www.nioz.nl/home_en

21

Nile Basin Initiative

http://www.nilebasin.org

22

NDF, Nordic Development Fund

http://www.ndf.fi

23

Norway—Norwegian Institute for Water Research (NIVA)

http://www.niva.no

24

South African Council for Science and Industrial Research

https://www.csir.co.za

25

Sweden—IVL Swedish Environmental Research Institute

http://www.ivl.se

26

Sweden—Swedish Agency for Marine and Water Management

http://www.havochvatten.se

27

USA—BISON

https://bison.usgs.gov/#home

28

USA—Great Lakes Fishery Commission

http://www.glfc.org

29

USA/Canada—US Fish and Wildlife Service

https://www.fws.gov

30

USA—National Marine Fisheries Service

http://www.nmfs.noaa.gov

The publication search engines and databases will be queried using the Boolean phrasing described below in the topic search categories. Web crawling software [26] will be used to query and collate data from the grey literature databases and regional/country organization sites. The first 100 returns from each grey literature site (Table 3) will be reviewed for inclusion. Google Scholar, Web of Science, and Scopus will be searched because of relatively little overlap between search results of the search engine and databases [27]. The China Knowledge Resource Integrated Database (CNKI) and Baidu Scholar will be used to target rivers where data or research may be presented in Mandarin. Proquest Aquatic Science Collection will also be included to capture reports and grey literature that may not be available through our directed grey literature searches.

Search terms and languages

Search engines and databases will be searched using the following terms and Boolean phrasing (* denotes a wildcard character to include multiple word endings). The list of search phrases is available in Additional file 1.

Example phrase: (Congo OR Zaire) AND river* AND (fish* OR fisher* OR aquaculture)

English is the dominant language for scientific publications [28], but we recognize the growing literature base in other prominent languages [29]. As such, searches will be conducted in English only for the publication databases and grey literature websites. Searches in Google Scholar will be conducted in English, Spanish, French, Portuguese, and Mandarin (Table 4) based on the primary languages spoken in the countries where the 60 major rivers flow. Scoping of search terms in the 5 non-English United Nations Languages plus the major languages spoken in countries containing selected rivers is located in Additional file 2. We recognize that fisher* would be automatically included with the use of fish*, but both fish* and fisher* are used because the words do not have the same root in non-English languages (Table 4).
Table 4

Search terms by language

Language

Term 1

Term 2

Term 3

Term 4

Chinese (Mandarin)

养殖渔业

English

river*

fish*

fisher*

Aquaculture

French

riviere*

fleuve*

poisson*

pêche*

Aquaculture

Portuguese

rio*

peixe*

pescado*

Hidrocultura/acuicultura

Spanish

río*

pez*

pescado*

Acuicultura

Estimating the comprehensiveness of the search

Our search strategy was designed to provide a broad scope of results regarding river fisheries data to be as comprehensive as possible. Primary studies will be targeted while review papers will be used to identify primary studies and data. All articles gathered, including review papers, will be included in the final reference database. We recognize that a large amount of data may be reported only through grey literature or stored on organizational sites. As such, our search strategy includes 37 grey literature databases and 30 regional or country sites (Table 3). Further sites may be added as revealed by the search results to be potentially relevant.

For the search engine (Table 3), an accumulation or discovery curve strategy will be used to assess the return on investment for continuing through search results. As each river constitutes a distinct search, this process will be conducted for each river search, within each distinct database. Because this process includes a unique search for each river in each database, duplicates of the same articles will be collected. These will be screened during the “Article screening and study inclusion criteria” described below, but also allow calculation of overlap between databases. The process is similar to that used for recording the cumulative number of species in a particular environment as a function of search effort [30]. As new relevant articles are collected and entered into the database, the total number of potentially relevant articles per 100 search results will be calculated and plotted. The search continues, considering new articles in groups of 100 returns at a time to plot potentially relevant articles per unit of search effort. This step will be conducted during the screening process described below. In this way, the number of new, potentially relevant returns that will be discovered with continued effort can be estimated. Once the asymptote of the curve has been reached (no new relevant articles revealed for 3 groups of 100 search returns evaluated), searching in this data base will discontinue [30].

Article screening and study inclusion criteria

Screening

Article screening will occur in two steps. First, the title and abstract will be reviewed for potentially relevant articles. Second, the full text will be read from those screened during step one for relevant data. Initial screening will be conducted by two members of the research team until consistency in screening is established between screeners. Consistency will be measured using the Kappa statistic, which measures the degree of agreement between two coders [31]. This systematic map process will implement two to four coders. All coders will search and screen the same river and the kappa statistic will be calculated. Criteria and differences between included article sets will be reviewed until kappa statistic values return moderate to high values, > 0.5 [32]. Meetings to discuss search strategy and study inclusion will occur at regular intervals to maintain consistency throughout the search and study inclusion.

The inclusion criteria described below will be applied during the search process for collecting potentially relevant articles and then screening collected articles for inclusion in the final geodatabase. The number of all included and excluded articles will be recorded at each stage of the screening and study inclusion process per the PRISMA flow chart [33].

Study inclusion criteria

All potentially relevant citations selected during the search process will be saved into a reference manager or systematic review software (such as Zotero or Mendeley) for full text review. Articles that are not open access will be requested through inter-library loan or via university library subscriptions from university-affiliated researchers on our team. Articles will be selected from the search if they meet all the following criteria, erring on the side of inclusion. At the first screening step, article will be selected if it meets the first two criteria and if the title and abstract indicates the article contains species-specific and location-specific information about fish biomass. After duplicates are removed, title and abstracts will be reviewed and studies excluded based on the following criteria:
  • Not river related.

  • No information provided on fish biomass.

  • No or insufficient location information provided. Sufficient location information includes information (text description, coordinates, or a map) to pinpoint a location or specific area on a map where fish were extracted.

  • Insufficient methodological information to determine how data was acquired.

During the second screening step of the full text, only those studies that do actually contain species-specific and location-specific information about fish biomass will be selected for inclusion.
  • Is primary research, a review, a dataset, a book, or a report

  • Was published between 1950 and 2016.
    • The start date of 1950 was selected because it is also the first year that FAO provides global fisheries statistics [13].

  • The article contains species-specific and location-specific information about fish biomass.

In order to be included in the final database and map, a study must meet all of the following criteria:

Relevant subjects

River or river aquaculture fish species (as identified by Fishbase.org).

Relevant interventions

Capture/extraction of populations and communities of fish for food, income, or recreation.

Relevant outcomes
Fish biomass extraction from rivers. This data will include different units for weight, and different articles may report data at different spatial and temporal scales as well as have different definitions for catch, harvest, yield, production, etc. The original data will be extracted from the articles and then, when possible, converted to consistent units for analysis as described below in the “Data coding strategy” and Table 5.
Table 5

Field names and definitions for data collected through the systematic map process

Field name

Field definition

Field type

Ref_ID

DOI or assigned reference number

VARCHAR(25)

RIVERID

(Metadata) artificial sequence number, linked to metadata table. RIVERID is derived from on NaturalEarth Rivers Database

NUMBER(6)

RIVER_NAME

River name

VARCHAR2(150)

RIVER_ZONE_ID

Segment ID from the river zones. these zones were defined in a separate modeling analysis based on a k-mean plus cluster algorithm where cluster were derived based on six different bio-physical parameters of the rivers. A separate manuscript regarding this modeling effort is under preparation

NUMBER(15)

FISHCATCH_ID

Fish_Catch_record sequence number (unique)

NUMBER(6)

BEG_DATE

Beginning date of fish data. Format: month/year example: 06/2016

DATE

END_DATE

End date of fish data. Format: month/year example: 06/2016

DATE

EST_DATE

Is the date estimated? (1 = yes, 2 = no)

NUMBER(1)

FISH_CATCH_LAT

Latitude coordinate of fish catch in decimal degree

NUMBER(15, 2)

FISH_CATCH_LONG

Longitude coordinate of fish catch in decimal degree

NUMBER(15, 2)

FISH_CATCH_LOCATION

Original coordinate or location data from the reference

VARCHAR2(150)

LOCATION_MAP

Is there a map showing the location of data collection? (1 = yes, 2 = no)

NUMBER(1)

FISH_CATCH_SPECIES

Species full Latin name. Enter “Mixed Catch” if specific species names are not provided. Example: Schizodon fasciatus

NUMBER(8)

FISH_CATCH_COUNT

Number of individual fish caught. Enter N/A if number is not available

NUMBER(8)

FISH_SPECIES_TYPE

Select type of species (1 = native, 2 = non-native, 3 = article does not specify). If a report combines multiple fisheries, catch from each fishery will be recorded as separate entries

NUMBER(1)

FISH_SPECIES_INTRO_YR

If introduced species then the year this species introduced in this river system, as determined by fishbase.org

NUMBER(4)

FISH_CATCH_TYPE

Select the reason for fish capture (1 = artisanal, 2 = commercial, 3 = recreational, 4 = scientific study, 5 = subsistence, 6 = aquaculture, 7 = others)

NUMBER(1)

FISH_CATCH_WT

The numeric value for the weight of the fish catch. The unit of weight is recorded in the field FISH_CATCH_UNIT

NUMBER(15,2)

FISH_CATCH_UNIT

Select the weight unit reported by the article

VARCHAR2(5)

FISH_CATCH_KG

Fish biomass, in kg. Calculated from field “FISH_CATCH_WT”

NUMBER(15,2)

SAMPLED_AREA

What area was sampled (include units)

NUMBER(8,2)

FISH_CATCH_BY_AREA

Fish biomass, in kg/ha or X unit

NUMBER(15,2)

TOTAL_BIOMASS

The numeric value for the total biomass captured (including fish and other species). Enter N/A if not available

NUMBER(15,2)

TOTAL_BIOMASS_UNIT

Select the weight unit reported by the article

VARCHAR2(5)

TOTAL_BIOMASS_KG

Total biomass captured in the haul in KG (including fish and other species). Enter N/A if not available

NUMBER(15,2)

GEAR_TYPE

Select the type of gear used to capture the fish species (1 = trawl, 2 = net, 3 = traps, 4 = line, 5 = electrofishing, 6 = other)

VARCHAR2(150)

GEAR_SIZE

Numerical value for the gear size

NUMBER(8,2)

GEAR_SIZE_UNIT

Select the gear size unit reported by the article

VARCHAR2(150)

GEAR_SIZE_cm

Mesh size or gear size in centimeters

NUMBER(8,2)

FISHING_EFFORT_UNIT

Number of boats or gears used for the survey

NUMBER(8)

FISHING_EFFORT_DURATION

Number of hours or days spend in fishing (days as 24 h)

NUMBER(8)

Relevant study designs

Quantitative research including experimental, quasi-experimental, observational studies will be included. Secondary studies including literature reviews and systematic reviews will be used to identify additional primary sources of information.

The original source of the data and type of organization (non-governmental, governmental, etc.) will be included in the final database. A list of articles excluded at full text review with reasons for exclusion will be provided.

Study quality assessment

Because of variation in fish harvest methods and differing purpose for data collection in peer-reviewed and grey literature, critical appraisal will not be applied to this systematic map. However, descriptive and demographic information about researchers and data collection will be captured as they may be pertinent for how the data are used in modeling projects or estimations. Notes regarding the methodological descriptions will also be collected, including reliability of sources.

Data coding strategy

The following information will be collected from each article, when available. Other categories or target information may be added during the search process.

Capture effort and methods fields

Fishing effort, gear type and size, vessel type and size, sampled area and location.

Sector fields

Subsistence, commercial, aquaculture, recreation, research, funding source.

Information type fields

Primary information (i.e., the report authors collected the information themselves), Secondary information; article reports data collected by another party.

Map fields

Author affiliations, research question or objective, outcome or conclusion, replication present or absent, control present or absent, review (R), before/after (BA), comparator/intervention (CI), before/after/comparator/intervention (BACI), randomized controlled trial (RCT), objective or purpose of data collection.

Regarding the spatial component of fish biomass extraction, this information will consist of point locations, sets of point locations, areas, general descriptions, and river or watershed level scales. If the specific area cannot be determined from the information provided, that article will not meet study inclusion criteria and will be excluded from the final geodatabase. All other data will be included in the format provided by the original documentation. The final geodatabase will consist of point, multi-point, polygon, and multi-polygon shapefiles. The original spatial description, map, or coordinate information will be provided in the final geodatabase along with the spatial information. Changes in fish biomass over time or time-series data will include individual entries for each time point.

Intercoder reliability will be established by comparing extracted data between researchers. Table 5 provides the field names and definitions of the data targeted for extraction from the search results. All persons contributing to data collection will be provided the same set of 20 articles and the actual data extracted will be compared. Discrepancies in collected data will be discussed and assessed until data collection is consistent. Other types of data may be added as identified by the search process. Data from these sources will then be synthesized into a geodatabase.

Study mapping and presentation

The systematic map database will be presented as a geodatabase that will be open-access and hosted by USGS Sciencebase. The geodatabase will be available as both a file geodatabase and a series of folders. All files within the geodatabase will consist of shapefiles, which are not proprietary. This systematic map protocol will accompany the geodatabase as metadata. Additionally, a systematic map describing the data collection process and results of the search. A geographic map of data density and data collected will review the distribution of information to identify knowledge gaps or concentrations of information and also address the temporal scale of available information. Understanding the distribution of current information can help target future studies to fill these gaps and reduce redundant data collection. This information could also be used to frame systematic review questions and research regarding river fisheries.

Declarations

Authors’ contributions

CLR led map protocol development and will oversee literature search and data extraction. ZB, AL, and WT conceptualized the original research project. YCK provides expertize in Mandarin language and inland fisheries research in Asia. All authors contributed to protocol design, manuscript writing. All authors read and approved the final manuscript.

Acknowledgements

We thank Ian Cowx (University of Hull), Rachel Ainsworth (University of Hull), and NCCWSC staff for their assistance with refining this search methodology. We also thank Jessica Taylor for an internal USGS review, anonymous journal-selected reviewers, and the journal editors for their constructive feedback to improve this manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US. Government. Its content is deliberative and predecisional, so it must not be disclosed or released by reviewers. Because the manuscript has not yet been approved for publication by the US Geological Survey (USGS), it does not represent any official USGS finding or policy.

Competing interests

The authors declare that they have no competing interests. If a reviewer is an author on a potentially relevant article, he or she will not be involved in the decisions regarding the inclusion of the article in the database.

Availability of data and materials

Not applicable.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

This work was funded by the US Geological Survey’s National Climate Change and Wildlife Science Center (NCCWSC).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Environmental Science and Policy, George Mason University
(2)
US Geological Survey, National Climate Change and Wildlife Science Center
(3)
Environmental and Sustainability Studies Program, University of Northern Colorado
(4)
Department of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University
(5)
US Geological Survey, Great Lakes Science Center

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Copyright

© The Author(s) 2017

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