Fish-SPRICH: a database of freshwater fish species richness throughout the World

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• 作者：Sébastien Brosse (1)
  Olivier Beauchard (2)
  Simon Blanchet (3)
  Hans H. Dürr (4)
  Ga?l Grenouillet (1)
  Bernard Hugueny (6)
  Christine Lauzeral (1)
  Fabien Leprieur (5)
  Pablo A. Tedesco (6)
  Sébastien Villéger (1)
  Thierry Oberdorff (6)
  
• 关键词：Global extent ; River drainage basin ; Fishes ; Native ; Non ; native ; Endemic
• 刊名：Hydrobiologia
• 出版年：2013
• 出版时间：January 2013
• 年：2013
• 卷：700
• 期：1
• 页码：343-349
• 全文大小：267KB
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• 作者单位：Sébastien Brosse (1)
  Olivier Beauchard (2)
  Simon Blanchet (3)
  Hans H. Dürr (4)
  Ga?l Grenouillet (1)
  Bernard Hugueny (6)
  Christine Lauzeral (1)
  Fabien Leprieur (5)
  Pablo A. Tedesco (6)
  Sébastien Villéger (1)
  Thierry Oberdorff (6)
  
  1. Laboratoire Evolution et Diversité Biologique, UMR 5174, Université Paul Sabatier -CNRS -ENFA, 118 Route de Narbonne, 31062, Toulouse Cedex 4, France
  2. Department of Biology, Faculty of Sciences, Ecosystem Management Research Group, University of Antwerp, Universiteitsplein 1, 2610, Antwerpen (Wilrijk), Belgium
  3. Station d’Ecologie Expérimentale du CNRS à Moulis, U.S.R 2936, 09200, Moulis, France
  4. Department of Physical Geography, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, Room 106, P.O. Box 80.115, 3508 TC, Utrecht, The Netherlands
  6. UMR ‘‘BOREA’-CNRS 7208/IRD 207/MNHN/UPMC, DMPA, Museum National d’Histoire Naturelle, 43 rue Cuvier, 75231, Paris Cedex, France
  5. Laboratoire Ecologie des Systèmes Marins C?tiers, UMR 5119, CNRS-IFREMER-UM2-IRD -Université Montpellier 2, Place Eugène Bataillon, 34095, Montpellier Cedex 5, France
  
• ISSN：1573-5117

文摘

There is growing interest in large-scale approaches to ecology, for both plants and animals. In particular, macroecological studies enable examination of the patterns and determinants of species richness of a variety of groups of organism throughout the world, which might have important implications for prediction and mitigation of the consequences of global change. Here, we provide richness data for freshwater fishes, which, with more than 13,000 described species, comprise a quarter of all vertebrate species. We conducted an extensive literature survey of native, non-native (exotic), and endemic freshwater fish species richness. The resulting database, called Fish-SPRICH, contains data from more than 400 bibliographic sources including published papers, books, and grey literature sources. Fish-SPRICH contains richness values at the river basin grain for 1,054 river basins covering more than 80% of the earth’s continental surface. This database is currently the most comprehensive global database of native, non-native and endemic freshwater fish richness available at the river basin grain.