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首页> 外文期刊>Hydrobiologia >Shallow coastal lakes in New Zealand: current conditions, catchment-scale human disturbance, and determination of ecological integrity
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Shallow coastal lakes in New Zealand: current conditions, catchment-scale human disturbance, and determination of ecological integrity

机译:新西兰的浅海沿海湖泊:现状,流域规模的人为干扰以及生态完整性的确定

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摘要

We present the results of an effort to develop a national-scale predictive model to describe the current condition of shallow, coastal New Zealand lakes. Comprehensive biological, physical and chemical data from 45 shallow, coastal lakes are compared to catchment-level disturbance indices (indigenous vegetation loss, nutrient loading, invasive species) derived by New Zealand’s Waters of National Importance (WoNI) Programme. Few strong relationships were identified, but some general patterns were evident: lakes in disturbed catchments tended to have a higher trophic state, higher pH, reduced light penetration, lower submerged macrophyte cover, smaller food webs, lower rotifer diversity, and a larger proportion of introduced fish species. We discuss these patterns in the context of “ecological integrity” (EI), a subjective descriptor used in WoNI and other management programmes. A lack of historical data and difficulties in quantifying “integrity” remain persistent challenges for linking science with management for EI. Relationships between the WoNI indices and measured limnological conditions were not strong enough to build a predictive, nationally relevant model for estimating the EI. However, we present an alternative method for estimating EI based on expert assessment; expert assessment EI was significantly correlated to both WoNI pressure indices and many of the limnological variables measured here.
机译:我们介绍了开发全国规模的预测模型以描述新西兰浅海,沿海湖泊当前状况的努力结果。将来自45个沿海沿海浅湖的综合生物,物理和化学数据与由新西兰国家重要水域(WoNI)计划得出的集水区扰动指数(本地植被损失,养分含量,入侵物种)进行了比较。几乎没有确定有很强的关系,但明显的一些一般模式是:受干扰流域的湖泊往往具有较高的营养状态,较高的pH值,减少的光穿透,较低的淹没植物覆盖,较小的食物网,较低的轮虫多样性,以及较大比例的引进的鱼类。我们在“生态完整性”(EI)(WoNI和其他管理计划中使用的主观描述语)的背景下讨论这些模式。缺乏历史数据和量化“完整性”的困难仍然是将科学与EI的管理联系起来的持续挑战。 WoNI指数与测得的气候条件之间的关系不足以建立可预测的,与国家相关的EI估计模型。但是,我们提出了一种基于专家评估的EI估计方法。专家评估EI与WoNI压力指数和此处测得的许多语言学变量均显着相关。

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