Comparison of water quality thresholds for macroinvertebrates in two Mediterranean catchments quantified by the inferential techniques TITAN and HEA
Comparison of water quality thresholds for macroinvertebrates in two Mediterranean catchments quantified by the inferential techniques TITAN and HEA
复制标题
通过 TITAN 和 HEA 推理技术量化的两个地中海流域大型无脊椎动物的水质阈值比较
DOI：
10.1016/j.ecolind.2019.02.003
复制
发表时间：
2019
影响因子：
6.9
通讯作者：
S. Maxwell
中科院分区：
文献类型：
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作者：
Jawairia Sultana;F. Recknagel;J. Tibby;S. Maxwell
集水区管理者面临着复杂的决策，要在水量和水质、土地利用和生物多样性等相互竞争的目标之间取得平衡。为了令人满意地平衡这些目标，决策需要以可靠的信息为基础。本研究旨在通过阈值指标分类群分析（TITAN）和混合进化算法（HEA）确定可能影响南澳大利亚托伦斯河和Onkaparinga河集水区可持续性的潜在水质驱动因素。研究了14年来518个大型无脊椎动物类群的丰度和水质变量的数据，以确定水质条件对集水区和溪流水平的大型无脊椎动物可能的刺激和抑制作用。当应用于托伦斯(n = 262)和Onkaparinga (n = 227),泰坦发现正(z +)和负(z−)反应物种集雨和发现社区在应对总氮变化点(托伦斯:z + = 305 µg L−1,z− = 277 µg L−1;Onkaparinga: z + = 420 µg L−1,z− = 397 µg L−1)、总磷(托伦斯:z +和z− = 22 µg L−1;Onkaparinga: z + = 73 µg L−1,z− = 71 µg L−1)和电导率(托伦斯:z + = 931 µS 厘米−1)z− = 407 µ年代 厘米−1;Onkaparinga: z + = 951 µS 厘米−1)z− = 428 µ年代 厘米−1)。这些结果表明，两个流域的电导率（EC）和总氮（TN）梯度变化点相似，但Onkaparinga河流域的总磷（TP）变化点比托伦斯河流域高3倍。自TITAN发现该物种以来，austrolchiltonia australia对TP、TN和EC的增加和paramerinaspp的增加反应积极。作为负响应，选择这些类群进行HEA建模。与TITAN相比，HEA使用了两个集水区各37个流点的平均数据。a的结果模型。与TITAN的结果相比，澳大利亚在托伦斯流域发现了更高的TN、TP和EC变化点。forParamerinaspp模型。表明Onkaparinga的TN和EC的阈值是托伦斯的两倍。虽然HEA规定的TN和TP阈值在TITAN确定的范围内，但EC阈值明显超过TITAN确定的阈值。总的来说，研究表明，两种阈值方法中使用的数据的性质可能导致衍生阈值的差异。重要的是，尽管基于集水区或建模技术所观察到的阈值存在差异，但总体结果表明，南澳大利亚州淡水系统的水质准则过高。
Catchment managers face complex decisions to balance between competing targets such as water quantity and quality, land use and biodiversity. To balance these targets satisfactorily, decisions need to be grounded in reliable information. The present study aimed to identify potential water quality drivers that may impact the sustainability of the River Torrens and the Onkaparinga River catchments in South Australia by means of the Threshold Indicator Taxa Analysis (TITAN) and the Hybrid Evolutionary Algorithm (HEA). Fourteen years of data comprising abundance for 518 macroinvertebrate taxa and water quality variables were examined to determine possible stimulating and inhibiting effects of water quality conditions on macroinvertebrates at catchment and stream site level. When applied to the Torrens (n = 262) and Onkaparinga (n = 227), TITAN identified positive (z+) and negative (z−) responding species for both catchments and detected community change points in response to total nitrogen (Torrens: z+ = 305 µg L−1, z− = 277 µg L−1; Onkaparinga: z+ = 420 µg L−1, z− = 397 µg L−1), total phosphorus (Torrens: z+ and z− = 22 µg L−1; Onkaparinga: z+ = 73 µg L−1, z− = 71 µg L−1) and electrical conductivity (Torrens: z+ = 931 µS cm−1, z− = 407 µS cm−1; Onkaparinga: z+ = 951 µS cm−1, z− = 428 µS cm−1). These results suggested similar change points along electrical conductivity (EC) and total nitrogen (TN) gradients in both catchments, but three-times higher change points for total phosphorus (TP) in the Onkaparinga River catchment than in the Torrens catchment.Since TITAN identified the speciesAustrochiltonia australisas responding positively to TP, TN and EC increases, andParamerinaspp. as responding negatively, these taxa were selected for modelling by HEA. In contrast to TITAN, HEA used averaged data from 37 stream sites in each of the two catchments. Resulting models forA. australisrevealed much higher change points for TN, TP and EC in the Torrens catchment compared to the TITAN results. Models forParamerinaspp. suggested twice as high thresholds for TN and EC in Onkaparinga as compared to the Torrens. Whilst TN and TP thresholds specified by HEA fall within the range identified by TITAN, thresholds for EC exceeded significantly those identified by TITAN.Overall, the study has shown that the nature of the data used in the two threshold approaches is likely to have resulted in differences in the derived thresholds. Importantly, despite the differences observed in thresholds based either on a catchment or the modelling technique, overall results indicate that South Australian water quality guidelines for freshwater systems are too high.
DOI：
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发表时间：
1992
期刊：
--
影响因子：
--
作者：
J. Koza
通讯作者：
J. Koza