首页> 美国卫生研究院文献>other >Estimating δ15N fractionation and adjusting the lipid correction equation using Southern African freshwater fishes
【2h】

Estimating δ15N fractionation and adjusting the lipid correction equation using Southern African freshwater fishes

机译:使用南部非洲淡水鱼类估算δ15N分馏并调整脂质校正方程

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Stable isotope analysis is an important tool for characterising food web structure; however, interpretation of isotope data can often be flawed. For instance, lipid normalisation and trophic fractionation values are often assumed to be constant, but can vary considerably between ecosystems, species and tissues. Here, previously determined lipid normalisation equations and trophic fractionation values were re-evaluated using freshwater fish species from three rivers in the Upper Zambezian floodplain ecoregion in southern Africa. The parameters commonly used in lipid normalisation equations were not correct for the 18 model species (new D and I parameters were estimated as D = 4.46‰ [95% CI: 2.62, 4.85] and constant I = 0 [95% CI: 0, 0.17]). We suggest that future isotopic analyses on freshwater fishes use our new values if the species under consideration do not have a high lipid content in their white muscle tissue. Nitrogen fractionation values varied between species and river basin; however, the average value closely matched that calculated in previous studies on other species (δ15N fractionation factor of 3.37 ± 1.30 ‰). Here we have highlighted the need to treat stable isotope data correctly in food web studies to avoid misinterpretation of the data.
机译:稳定的同位素分析是表征食物网结构的重要工具。但是,对同位素数据的解释通常会存在缺陷。例如,脂质归一化和营养级分值通常被认为是恒定的,但在生态系统,物种和组织之间可能存在很大差异。在这里,先前确定的脂质归一化方程式和营养级分值使用南部非洲上赞比西亚洪泛区生态区中三条河流的淡水鱼类物种进行了重新评估。脂质归一化公式中常用的参数不适用于18种模型物种(新的D和I参数估计为D = 4.46‰[95%CI:2.62,4.85]和常数I = 0 [95%CI:0, 0.17])。我们建议,如果所考虑的物种在其白肌肉组织中脂类含量不高,则未来对淡水鱼类进行的同位素分析将使用我们的新值。氮的分馏值在物种和流域之间变化。但是,该平均值与先前研究中其他物种的平均值非常接近(δ 15 N分离系数为3.37±1.30‰)。在这里,我们强调了在食物网研究中正确处理稳定同位素数据的必要性,以避免对数据的误解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号