1 resultado para Classification approach
em Aquatic Commons
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (28)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (11)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (16)
- Boston University Digital Common (3)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (23)
- Cambridge University Engineering Department Publications Database (9)
- CentAUR: Central Archive University of Reading - UK (29)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (6)
- Cochin University of Science & Technology (CUSAT), India (5)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (4)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (6)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (1)
- Indian Institute of Science - Bangalore - Índia (33)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (3)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (12)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (24)
- Queensland University of Technology - ePrints Archive (495)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositorio de la Universidad de Cuenca (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (21)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo España (1)
- Scielo Uruguai (1)
- Universidad de Alicante (9)
- Universidad Politécnica de Madrid (16)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (4)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (5)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (1)
- University of Queensland eSpace - Australia (4)
- University of Washington (5)
- WestminsterResearch - UK (1)
Resumo:
(1) A total of 45 sites was sampled, each being fished using the semi-quantitative and quantitative techniques. (2) A significant relationship existed between the semi-quantitative and Quantitative results for all age groups of salmonids (R2 83.4% to 96.1%, p < 0.0001). (3) The results from each site were categorised according to an existing classification system for quantitative and semi-quantitative data. The semi-quantitative component of this system was modified using the results of this investigation. The degree of error associated with sites classified semi-quantitatively was found to be slightly less when using the modified system for 0+ salmon, > 0+ salmon and 0+ trout, ranging from 10.5% to 30%. (4) Insufficient data points were available for the analysis of coarse fish data.