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Food-web inferences of stable isotope spatial patterns in copepods and yellowfin tuna in the pelagic eastern Pacific Ocean

机译:东太平洋中上层co足类和黄鳍金枪鱼中稳定同位素空间格局的食物网推论

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摘要

Evaluating the impacts of climate and fishing on oceanic ecosystems requires an improved understanding of the trophodynamics of pelagic food webs. Our approach was to examine broad-scale spatial relationships among the stable N isotope values of copepods and yellowfin tuna (Thunnus albacares), and to quantify yellowfin tuna trophic status in the food web based on stable-isotope and stomach-contents analyses. Using a generalized additive model fitted to abundance-weighted-average δ~(15)N values of several omnivorous copepod species, we examined isotopic spatial relationships among yellowfin tuna and copepods. We found a broad-scale, uniform gradient in δ~(15)N values of copepods increasing from south to north in a region encompassing the eastern Pacific warm pool and parts of several current systems. Over the same region, a similar trend was observed for the δ~(15)N values in the white muscle of yellowfin tuna caught by the purse-seine fishery, implying limited movement behavior. Assuming the omnivorous copepods represent a proxy for the δ~(15)N values at the base of the food web, the isotopic difference between these two taxa, "△_(YFT-COP). " was interpreted as a trophic-position offset. Yellowfin tuna trophic-position estimates based on their bulk δ~(15)N values were not significantly different than independent estimates based on stomach contents, but are sensitive to errors in the trophic enrichment factor and the trophic position of copepods. An apparent inshore-offshore, east to west gradient in yellowfin tuna trophic position was corroborated using compound-specific isotope analysis of amino acids conducted on a subset of samples. The gradient was not explained by the distribution of yellowfin tuna of different sizes, by seasonal variability at the base of the food web, or by known ambit distances (i.e. movements). Yellowfin tuna stomach contents did not show a regular inshore-offshore gradient in trophic position during 2003-2005, but the trophic-position estimates based on both methods had similar scales of variability. We conclude that trophic status of yellowfin tuna increased significantly from east to west over the study area based on the spatial pattern of △_(YFT-COP) values and the difference between the δ~(15)N values of glutamic acid and glycine, "trophic" and "source" amino acids, respectively. These results provide improved depictions of trophic links and biomass flows for food-web models, effective tools to evaluate climate and fishing effects on exploited ecosystems.
机译:要评估气候和捕鱼对海洋生态系统的影响,需要对中上层食物网的营养动力学有更好的了解。我们的方法是检查co足类和黄鳍金枪鱼(Thunnus albacares)的稳定N同位素值之间的广泛空间关系,并基于稳定同位素和胃含量分析量化食物网中的黄鳍金枪鱼营养状态。利用适合于杂食性pe足类物种的丰度加权平均δ〜(15)N值的广义加性模型,我们研究了黄鳍金枪鱼和co足类之间的同位素空间关系。我们发现了pe足类动物的δ〜(15)N值的一个大范围,均匀的梯度,它在一个由东太平洋暖池和部分当前系统组成的区域中,从南到北逐渐增大。在同一区域,被围网捕捞的黄鳍金枪鱼白色肌肉中的δ〜(15)N值观察到相似的趋势,这表明运动行为受到限制。假设杂食性pe足类代表食物网底部的δ〜(15)N值,这两个类群之间的同位素差异“△_(YFT-COP)。”被解释为营养位置偏移。 。基于黄鳍金枪鱼的总δ〜(15)N值的黄鳍金枪鱼营养位置估计值与基于胃内容物的独立估计值无显着差异,但对营养富集因子和co足类动物的营养位置的误差敏感。使用对一部分样品进行的氨基酸的化合物特异性同位素分析,证实了黄鳍金枪鱼营养位置上的明显的近海-从东到西的梯度。没有用不同大小的黄鳍金枪鱼的分布,食物网底部的季节性变化或已知的距离(即运动)来解释梯度。在2003-2005年期间,黄鳍金枪鱼的胃内容物在营养位置上没有显示出规则的近岸-近海梯度,但是基于这两种方法的营养位置估算值具有相似的可变性量表。根据△_(YFT-COP)值的空间格局以及谷氨酸和甘氨酸的δ〜(15)N值之间的差异,研究区域内黄鳍金枪鱼的营养状态从东向西显着增加, “营养”和“源”氨基酸分别。这些结果为食物网模型提供了营养联系和生物量流动的改进描述,是评估气候和捕鱼对被开发生态系统影响的有效工具。

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  • 来源
    《Progress in Oceanography》 |2010年第2期|P.124-138|共15页
  • 作者单位

    Inter-American Tropical Tuna Commission, 8604 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA;

    rnUniversity of Hawaii, Department of Geology and Geophysics, 1680 East-West Road, Honolulu, HI 96822, USA;

    rnUniversity of Hawaii, Department of Oceanography, 1000 Pope Road, Honolulu, HI 96822, USA University of New Brunswick, Canadian Rivers Institute. 10 Bailey Avenue, Fredericton, New Brunswick, E3B 5A3, Canada;

    rnCentro Interdisciplinario de Ciencias Marinas, Instituto Politecnico National, Apartado Postal 592, La Paz, Baja California Sur, CP 23000, Mexico;

    rnCentro Interdisciplinario de Ciencias Marinas, Instituto Politecnico National, Apartado Postal 592, La Paz, Baja California Sur, CP 23000, Mexico;

    rnInter-American Tropical Tuna Commission, 8604 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA;

    rnCentro Interdisciplinario de Ciencias Marinas, Instituto Politecnico National, Apartado Postal 592, La Paz, Baja California Sur, CP 23000, Mexico;

    rnUniversity of Hawaii, Department of Geology and Geophysics, 1680 East-West Road, Honolulu, HI 96822, USA University of Hawaii, Department of Oceanography, 1000 Pope Road, Honolulu, HI 96822, USA;

    rnUniversity of Hawaii, Department of Geology and Geophysics, 1680 East-West Road, Honolulu, HI 96822, USA;

    rnCentro Interdisciplinario de Ciencias Marinas, Instituto Politecnico National, Apartado Postal 592, La Paz, Baja California Sur, CP 23000, Mexico;

    rnSouthwest Fisheries Stience Center, National Marine Fisheries Service, NOAA, 8604 Lajolla Shores Drive, Lajolla, CA 92037-1508, USA;

    rnLouisiana State University, Department of Oceanography & Coastal Sciences and Coastal Ecology Institute, School of the Coast and Environment, Baton Rouge, LA 70803, USA;

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