Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?

Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a goo...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alves, Diego Corrêa [verfasserIn] Minte-Vera, Carolina Viviana [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Inland fisheries Stock assessments Reservoir River Floodplain Amazon

Übergeordnetes Werk:	Enthalten in: Reviews in fish biology and fisheries - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991, 23(2012), 1 vom: 11. Aug., Seite 113-126
Übergeordnetes Werk:	volume:23 ; year:2012 ; number:1 ; day:11 ; month:08 ; pages:113-126

Links:	Volltext

DOI / URN:	10.1007/s11160-012-9282-6

Katalog-ID:	SPR017195764

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520			\|a Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector.
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allfields	10.1007/s11160-012-9282-6 doi (DE-627)SPR017195764 (SPR)s11160-012-9282-6-e DE-627 ger DE-627 rakwb eng 630 640 590 ASE 42.00 bkl Alves, Diego Corrêa verfasserin aut Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector. Inland fisheries (dpeaa)DE-He213 Stock assessments (dpeaa)DE-He213 Reservoir (dpeaa)DE-He213 River (dpeaa)DE-He213 Floodplain (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Minte-Vera, Carolina Viviana verfasserin aut Enthalten in Reviews in fish biology and fisheries Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 23(2012), 1 vom: 11. Aug., Seite 113-126 (DE-627)306591383 (DE-600)1498719-3 1573-5184 nnns volume:23 year:2012 number:1 day:11 month:08 pages:113-126 https://dx.doi.org/10.1007/s11160-012-9282-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 ASE AR 23 2012 1 11 08 113-126
spelling	10.1007/s11160-012-9282-6 doi (DE-627)SPR017195764 (SPR)s11160-012-9282-6-e DE-627 ger DE-627 rakwb eng 630 640 590 ASE 42.00 bkl Alves, Diego Corrêa verfasserin aut Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector. Inland fisheries (dpeaa)DE-He213 Stock assessments (dpeaa)DE-He213 Reservoir (dpeaa)DE-He213 River (dpeaa)DE-He213 Floodplain (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Minte-Vera, Carolina Viviana verfasserin aut Enthalten in Reviews in fish biology and fisheries Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 23(2012), 1 vom: 11. Aug., Seite 113-126 (DE-627)306591383 (DE-600)1498719-3 1573-5184 nnns volume:23 year:2012 number:1 day:11 month:08 pages:113-126 https://dx.doi.org/10.1007/s11160-012-9282-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 ASE AR 23 2012 1 11 08 113-126
allfields_unstemmed	10.1007/s11160-012-9282-6 doi (DE-627)SPR017195764 (SPR)s11160-012-9282-6-e DE-627 ger DE-627 rakwb eng 630 640 590 ASE 42.00 bkl Alves, Diego Corrêa verfasserin aut Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector. Inland fisheries (dpeaa)DE-He213 Stock assessments (dpeaa)DE-He213 Reservoir (dpeaa)DE-He213 River (dpeaa)DE-He213 Floodplain (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Minte-Vera, Carolina Viviana verfasserin aut Enthalten in Reviews in fish biology and fisheries Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 23(2012), 1 vom: 11. Aug., Seite 113-126 (DE-627)306591383 (DE-600)1498719-3 1573-5184 nnns volume:23 year:2012 number:1 day:11 month:08 pages:113-126 https://dx.doi.org/10.1007/s11160-012-9282-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 ASE AR 23 2012 1 11 08 113-126
allfieldsGer	10.1007/s11160-012-9282-6 doi (DE-627)SPR017195764 (SPR)s11160-012-9282-6-e DE-627 ger DE-627 rakwb eng 630 640 590 ASE 42.00 bkl Alves, Diego Corrêa verfasserin aut Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector. Inland fisheries (dpeaa)DE-He213 Stock assessments (dpeaa)DE-He213 Reservoir (dpeaa)DE-He213 River (dpeaa)DE-He213 Floodplain (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Minte-Vera, Carolina Viviana verfasserin aut Enthalten in Reviews in fish biology and fisheries Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 23(2012), 1 vom: 11. Aug., Seite 113-126 (DE-627)306591383 (DE-600)1498719-3 1573-5184 nnns volume:23 year:2012 number:1 day:11 month:08 pages:113-126 https://dx.doi.org/10.1007/s11160-012-9282-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 ASE AR 23 2012 1 11 08 113-126
allfieldsSound	10.1007/s11160-012-9282-6 doi (DE-627)SPR017195764 (SPR)s11160-012-9282-6-e DE-627 ger DE-627 rakwb eng 630 640 590 ASE 42.00 bkl Alves, Diego Corrêa verfasserin aut Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector. Inland fisheries (dpeaa)DE-He213 Stock assessments (dpeaa)DE-He213 Reservoir (dpeaa)DE-He213 River (dpeaa)DE-He213 Floodplain (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Minte-Vera, Carolina Viviana verfasserin aut Enthalten in Reviews in fish biology and fisheries Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 23(2012), 1 vom: 11. Aug., Seite 113-126 (DE-627)306591383 (DE-600)1498719-3 1573-5184 nnns volume:23 year:2012 number:1 day:11 month:08 pages:113-126 https://dx.doi.org/10.1007/s11160-012-9282-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 ASE AR 23 2012 1 11 08 113-126
language	English
source	Enthalten in Reviews in fish biology and fisheries 23(2012), 1 vom: 11. Aug., Seite 113-126 volume:23 year:2012 number:1 day:11 month:08 pages:113-126
sourceStr	Enthalten in Reviews in fish biology and fisheries 23(2012), 1 vom: 11. Aug., Seite 113-126 volume:23 year:2012 number:1 day:11 month:08 pages:113-126
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Inland fisheries Stock assessments Reservoir River Floodplain Amazon
dewey-raw	630
isfreeaccess_bool	false
container_title	Reviews in fish biology and fisheries
authorswithroles_txt_mv	Alves, Diego Corrêa @@aut@@ Minte-Vera, Carolina Viviana @@aut@@
publishDateDaySort_date	2012-08-11T00:00:00Z
hierarchy_top_id	306591383
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author	Alves, Diego Corrêa
spellingShingle	Alves, Diego Corrêa ddc 630 bkl 42.00 misc Inland fisheries misc Stock assessments misc Reservoir misc River misc Floodplain misc Amazon Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?
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title	Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?
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title_full	Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?
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title_sort	scientometric analysis of freshwater fisheries in brazil: repeating past errors?
title_auth	Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?
abstract	Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector.
abstractGer	Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector.
abstract_unstemmed	Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. Our results also highlighted the importance of multidisciplinarity in the training of human resources to work in the fishing sector.
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title_short	Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?
url	https://dx.doi.org/10.1007/s11160-012-9282-6
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up_date	2024-07-04T02:32:40.336Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR017195764</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111051018.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2012 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11160-012-9282-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR017195764</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11160-012-9282-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="a">590</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alves, Diego Corrêa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Freshwater fisheries are mainly small-scale activities and occur mostly in developing countries. These fisheries are recognized for its chronic lack of data and incipient knowledge when compared to large-scale fisheries, despite its socioeconomic and food security relevance. Brazil is a good model of small-scale freshwater fisheries country because it shares similar characteristics and shortcomings of many other countries in South America, Africa and Asia, where these activities prevail. This work aims to carry out a broad and comprehensive analysis of the approaches and limitations of Brazilian freshwater fisheries studies through a scientometric analysis. We conducted an exhaustive survey of scientific platforms such as the Web of Knowledge Thomson Reuters (ISI), Scientific Electronic Library Online (SciELO), Google Scholar and CNPq Lattes Curriculum Vitae Database. We found that the platforms ISI and SciELO were limited for this area of knowledge as they recovered only 47 % of the 186 studies reviewed. Brazilian freshwater fisheries studies were published in 72 journals and were conducted by 234 researchers, with very few specialists. On average the data processing into scientific information took 5 years, and half of the studies were conducted in short time scale (less than 2 years long) mostly by research institutions and universities. The number studies declined since the year 2008, after the creation of the Ministry of Fisheries and Aquiculture, which indicate that the fallacy of disregarding scientific knowledge may be permeating decision making agencies as already happen in the past in Brazil. The combination of these factors may cause slow and inefficient decision-making and management based on the best available science. 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Scientometric analysis of freshwater fisheries in Brazil: repeating past errors?

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