Hugueny Bernard
Laboratoire d'Ichtyologie générale et appliquée, Museum National d'Histoire Naturelle, 43 rue Cuvier, 75231, Paris cedex 05, France.
Oecologia. 1989 May;79(2):236-243. doi: 10.1007/BF00388483.
Some factors influencing the species richness of West African fish communities were studied in a sample of 26 rivers using four habitat and hydrologic variables. Analysis of a larger sample of 39 rivers showed that species richness was positively related to area. A power function with an exponent of 0.32 gave the best fit. As the surface area used was that of the catchment area and not that (unknown) of the river, the biological significance of this relationship and the possibilities of comparison were limited. Ridge regression analysis and forward stepwise selection indicated that a model that explained ln(species richness) as a function of ln(mean annual discharge) and ln-(catchment surface area) was best, accounting for 90% of the variance of the dependent variable. The combination of surface area and discharge was presumed to act through the volume of water available for the fishes and habitat productivity. Habitat diversity, measured by the diversity of the terrestrial vegetation covering the catchment area, had no significant positive effect when surface area was used in the regression. Rivers ("islands") should have fewer species than tributaries of similar size since, for fishes within a river system ("continent"), there is free circulation between all its branches. The model derived from the river data underestimated the species richness of a sample of 11 tributaries. This was compatible with the hypothesis of higher population extinction rates in insular biotopes. The residuals of the linear model did not show random geographical distribution; the rivers in some areas had more species than expected. The possibility that historical factors, especially Quaternary climatic variations, might cause this distribution is discussed.
利用四个栖息地和水文变量,在26条河流的样本中研究了影响西非鱼类群落物种丰富度的一些因素。对39条河流的更大样本进行分析表明,物种丰富度与面积呈正相关。指数为0.32的幂函数拟合效果最佳。由于所使用的表面积是集水区的表面积,而不是河流的(未知)表面积,这种关系的生物学意义和比较的可能性有限。岭回归分析和向前逐步选择表明,一个将ln(物种丰富度)解释为ln(年平均流量)和ln(集水表面积)函数的模型是最佳的,解释了因变量方差的90%。表面积和流量的组合被认为是通过可供鱼类利用的水量和栖息地生产力起作用的。当在回归中使用表面积时,由覆盖集水区的陆地植被多样性衡量的栖息地多样性没有显著的积极影响。对于一个河流系统(“大陆”)内的鱼类来说,所有支流之间都有自由流通,因此河流(“岛屿”)的物种应该比类似大小的支流少。从河流数据得出的模型低估了11条支流样本的物种丰富度。这与岛屿生物群落中较高的种群灭绝率假说相符。线性模型的残差没有显示出随机的地理分布;一些地区的河流物种比预期的多。本文讨论了历史因素,特别是第四纪气候变化可能导致这种分布的可能性。