Estimating trophic position in marine and estuarine food webs
Estimating trophic position in marine and estuarine food webs
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DOI：
10.1890/es11-00224.1
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发表时间：
2012-03-01
期刊：
影响因子：
2.7
通讯作者：
Romanuk, Tamara N.
中科院分区：
文献类型：
--
作者：
Carscallen, W. Mather A.;Vandenberg, Kristen;Romanuk, Tamara N.
结构或二元方法，基于存在或不存在的喂养环节，是最常见的食物网组装方法，并形成了最充分探索的食物网模型的基础。二进制的方法来组装饲料链接经常被批评为是不够强大和准确的比基于流的方法。为了验证这一假设，我们比较了营养位置的二进制估计与基于氮的稳定同位素值（Δ N-15）的估计。从8个海洋和河口食物网的366种，我们比较了营养位置估计的基础上的二进制（存在-不存在）喂养的基础上的稳定同位素的氮（三角洲N-15）的估计。对于四个网络中的127种鱼类的子集，我们进一步比较了基于肠道内容物分析的营养位置估计，使用基于流量的算法，使用来自FishBase.org的数据，使用二进制和三角洲N-15估计。在所有的物种和网络的二进制估计的营养位置有很强的相关性（R = 0.644）与三角洲N-15的估计。平均二进制估计值与基线校正的Δ N-15估计值的差异为2.33%的平均营养位置和6.57%的最大营养位置。平均而言，二进制Δ N-15估计值之间的差异是0.14的营养级。对于127个鱼类物种的子集，二进制估计进行类似或更准确地预测三角洲N-15值比流量为基础的估计。二进制的方法来组装饲料链接经常被批评为是不够强大和准确的比基于流的方法。我们的研究结果表明，二进制和三角洲N-15估计的营养位置之间的高度一致性，以及显示，在某些情况下，二进制估计是更好的预测三角洲N-15比流量为基础的估计，重申的鲁棒性的结构方法组装食物网。在其他生态系统中进行额外的交叉验证研究是必要的，以确定我们的结果是否可以推广到陆地和淡水生态系统。
Structural or binary approaches, based on presence-absence of feeding links, are the most common method of assembling food webs and form the basis of the most well explored food web models. Binary approaches to assembling feeding links are often criticized as being less powerful and accurate than flow-based methods. To test this assumption we compared binary estimates of trophic position with estimates based on stable isotope values of nitrogen (delta N-15). For 366 species from eight marine and estuarine food webs we compared trophic position estimates based on binary (presence-absence) feeding links with estimates based on the stable isotope of nitrogen (delta N-15). For a subset of 127 fish species in four of the webs we further compared trophic position estimates based on gut content analysis using a flow-based algorithm using data from FishBase.org with binary and delta N-15 estimates. Across all species and webs binary estimates of trophic position were strongly correlated (R = 0.644) with delta N-15 estimates. On average binary estimates differed from baseline corrected delta N-15 estimates by 2.33% for mean trophic position and 6.57% for maximum trophic position. On average the difference between binary delta N-15 estimates was 0.14 of a trophic level. For the subset of 127 fish species binary estimates performed similarly or more accurately in predicting delta N-15 values than the flow-based estimates. Binary approaches to assembling feeding links are often criticized as being less powerful and accurate than flow-based methods. Our results show a high concordance between binary and delta N-15 estimates of trophic position as well as showing that in some cases binary estimates are better predictors of delta N-15 than flow-based estimates, reaffirming the robustness of the structural approach to assembling food webs. Additional cross-validation studies in other ecosystems are necessary to determine whether our results can be generalized to terrestrial and freshwater ecosystems.