Interpreting temporal variation in omnivore foraging ecology via stable isotope modelling
Interpreting temporal variation in omnivore foraging ecology via stable isotope modelling
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DOI：
10.1111/j.1365-2435.2009.01553.x
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发表时间：
2009-08-01
影响因子：
5.2
通讯作者：
Kurle, Carolyn M.
中科院分区：
文献类型：
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作者：
Kurle, Carolyn M.
使用稳定的碳（C）和氮（N）同位素（分别为δ N-15和δ C-13）来描绘野生动物的营养模式在生态学中很常见。它们作为解释季节性、迁徙、气候变化或物种入侵引起的饮食时间变化的工具，取决于对稳定同位素从饮食中掺入动物组织的速率的理解。为了最好地确定岛屿生态系统中入侵大鼠的觅食习惯，并阐明野生杂食动物饮食的一般解释，我调查了皮毛，肝脏，肾脏，肌肉，来自圈养大鼠的血清和红细胞（RBC），所述圈养大鼠以具有低Δ N-15和Δ C-13值的饮食饲养，并转换为具有较高Δ N-15和Δ C-13值的饮食。我使用反应进程变量法（RPVM），一种线性拟合程序，来估计单室模型还是多室模型最好地描述了每个组织中的同位素周转。小样本Akaike信息准则（AIC（c））模型比较分析表明，一室非线性模型最能描述肝脏、红细胞、肌肉和皮毛的同位素掺入率，而二室非线性模型最能描述血清和肾脏的同位素掺入率。血清和肾脏模型类型之间的估计同位素保留时间无差异（雌性肾脏中的N转换除外）。当使用非线性模型估计红细胞、肌肉和皮毛时，同位素掺入需要更长的时间，但肝组织的时间较短。我还发现，N和C同位素掺入率去耦肝脏，与C纳入肝组织的速度比N.数据表明，从一个单一的动物多个组织的同位素比分析的效用时，估计哺乳动物觅食生态的时间变化。
P>The use of stable carbon (C) and nitrogen (N) isotopes (delta N-15 and delta C-13, respectively) to delineate trophic patterns in wild animals is common in ecology. Their utility as a tool for interpreting temporal change in diet due to seasonality, migration, climate change or species invasion depends upon an understanding of the rates at which stable isotopes incorporate from diet into animal tissues. To best determine the foraging habits of invasive rats on island ecosystems and to illuminate the interpretation of wild omnivore diets in general, I investigated isotope incorporation rates of C and N in fur, liver, kidney, muscle, serum and red blood cells (RBC) from captive rats raised on a diet with low delta N-15 and delta C-13 values and switched to a diet with higher delta N-15 and delta C-13 values.I used the reaction progress variable method (RPVM), a linear fitting procedure, to estimate whether a single or multiple compartment model best described isotope turnover in each tissue. Small sample Akaike Information criterion (AIC(c)) model comparison analysis indicated that 1 compartment nonlinear models best described isotope incorporation rates for liver, RBC, muscle, and fur, whereas 2 compartment nonlinear models were best for serum and kidney.I compared isotope incorporation rates using the RPVM versus nonlinear models. There were no differences in estimated isotope retention times between the model types for serum and kidney (except for N turnover in kidney from females). Isotope incorporation took longer when estimated using the nonlinear models for RBC, muscle, and fur, but was shorter for liver tissue.There were no statistical differences between sexes in the isotope incorporation rates. I also found that N and C isotope incorporation rates were decoupled for liver, with C incorporating into liver tissue faster than N.The data demonstrate the utility of analysing isotope ratios of multiple tissues from a single animal when estimating temporal variation in mammalian foraging ecology.