Shelley James J, Dempster Tim, Le Feuvre Matthew C, Unmack Peter J, Laffan Shawn W, Swearer Stephen E
School of BioSciences University of Melbourne Melbourne Victoria Australia.
Institute for Applied Ecology University of Canberra Canberra Australian Capital Territory Australia.
Ecol Evol. 2019 Mar 29;9(8):4568-4588. doi: 10.1002/ece3.5059. eCollection 2019 Apr.
The Australian freshwater fish fauna is very unique, but poorly understood. In the Australian Monsoonal Tropics (AMT) biome of northern Australia, the number of described and candidate species has nearly doubled since the last attempt to analyse freshwater fish species composition patterns and determine a bioregionalisation scheme. Here, we utilise the most complete database of catchment-scale freshwater fish distributions from the AMT to date to: (a) reanalyze spatial patterns of species richness, endemism and turnover of freshwater fishes; (b) propose a biogeographic regionalisation based on species turnover; (c) assess the relationship between species turnover and patterns of environmental change and historic drainage connectivity; and (d) identify sampling gaps. Biogeographic provinces were identified using an agglomerative cluster analysis of a Simpson's beta ( ) dissimilarity matrix. A generalised dissimilarity model incorporating eighteen environmental variables was used to investigate the environmental correlates of species turnover. Observed and estimated species richness and endemism were calculated and inventory completeness was estimated based on the ratio of observed to estimated species richness. Three major freshwater fish biogeographic provinces and 14 subprovinces are proposed. These differ substantially from the current bioregionalisation scheme. Species turnover was most strongly influenced by environmental variables that are interpreted to reflect changes in terrain (catchment relief and confinement), geology and climate (runoff perenniality, stream density), and biotic responses to climate (net primary productivity). Past connectivity between rivers during low sea-level events is also influential highlighting the importance of historical processes in explaining contemporary patterns of biodiversity in the AMT. The inclusion of 49 newly discovered species and candidate species only reinforced known focal points of species richness and endemism in the AMT. However, a number of key sampling gaps remain that need to be filled to fully characterise the proposed bioregionalisation.
澳大利亚的淡水鱼类区系非常独特,但人们对其了解甚少。在澳大利亚北部的澳大利亚季风热带(AMT)生物群落中,自上次分析淡水鱼类物种组成模式并确定生物区域划分方案以来,已描述和候选的物种数量几乎翻了一番。在此,我们利用迄今为止来自AMT的最完整的流域尺度淡水鱼分布数据库,以:(a)重新分析淡水鱼的物种丰富度、特有性和周转率的空间模式;(b)基于物种周转率提出生物地理区域划分;(c)评估物种周转率与环境变化模式和历史排水连通性之间的关系;以及(d)确定采样缺口。使用对辛普森β( )相异矩阵的凝聚聚类分析来确定生物地理省份。采用包含18个环境变量的广义相异模型来研究物种周转率的环境相关性。计算观察到的和估计的物种丰富度及特有性,并根据观察到的与估计的物种丰富度之比来估计清查完整性。提出了三个主要的淡水鱼生物地理省份和14个亚省份。这些与当前的生物区域划分方案有很大不同。物种周转率受环境变量的影响最大,这些变量被解释为反映地形(流域起伏和限制)、地质和气候(径流常年性、河流密度)的变化,以及生物对气候的响应(净初级生产力)。低海平面事件期间河流过去的连通性也有影响,突出了历史过程在解释AMT当代生物多样性模式中的重要性。纳入49个新发现的物种和候选物种只是强化了AMT中已知的物种丰富度和特有性焦点。然而,仍有一些关键的采样缺口需要填补,以全面描述所提出的生物区域划分。