Compensation: an alternative method for analyzing diversity‐productivity experiments
Compensation: an alternative method for analyzing diversity‐productivity experiments
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DOI：
10.1034/j.1600-0706.2002.960303.x
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发表时间：
2002-03
期刊：
影响因子：
3.4
通讯作者：
P. Adler;J. Bradford
中科院分区：
文献类型：
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作者：
P. Adler;J. Bradford
Adler, P. B. 和 Bradford, J. B. 2002。补偿：分析多样性生产力实验的替代方法。 – Oikos 96: 411–420。尽管最近的实验结果表明多样性对初级生产力有积极影响，但对这些实验的解释一直存在争议，因此需要新的分析方法。为满足这一需求而开发的方法都使用单一栽培中生长的单个物种的产量来计算每个物种混合物的预期产量，然后将与这些预期的偏差作为物种丰富度的函数进行分析。我们提出了一种替代方法，将相同的组装实验视为物种清除，并根据在整个群落中一起生长时单个物种的产量（包含池中所有物种的实验混合物）来计算每种混合物的预期产量。利用观察到的整个群落的生产，以及观察到的和预期的较少多样性混合物的生产，我们计算了一个补偿指数，该指数衡量物种丧失后功能恢复的程度。为了探讨优势物种和从属物种的丧失是否会产生不同的生态系统影响，我们建议采用多元回归方法来测试物种丰富度和预期产量对补偿的影响。如果在许多实验系统中补偿随着物种丰富度或预期产量的变化而变化，那么我们也许能够预测不同类型灭绝的生态系统效应。虽然现有的单一栽培方法更直接地检验有关互补资源利用的假设，但补偿方法有两个优点：1）它更适合测试灭绝如何影响生态系统功能，2）它可以在组合实验之间提供重要的联系。 自然系统中的人工群落和去除实验。
Adler, P. B. and Bradford, J. B. 2002. Compensation: an alternative method foranalyzing diversity-productivity experiments. – Oikos 96: 411–420.Although recent experimental results demonstrate a positive effect of diversity onprimary productivity, the interpretation of these experiments has been controversial,creating a need for new methods of analysis. The methods developed in response tothis need all use the production of individual species grown in monocultures tocalculate the expected production of each species mixture, then analyze departuresfrom these expectations as a function of species richness. We propose an alternativemethod that treats the same assembly experiments as species removals, and calculatesthe expected production of each mixture based on the production of individualspecies when grown together in the full community (the experimental mixturecontaining all species in the pool). Using the observed production of the fullcommunity, and the observed and expected productions of less diverse mixtures, wecalculate an index of compensation that measures the degree of functional recoveryfollowing species loss. To explore whether losses of dominant versus subordinatespecies have different ecosystem effects, we suggest a multiple regression approachthat tests the influence of both species richness and expected production on compen-sation. If compensation varies with species richness or expected production consis-tently in many experimental systems, then we may be able to predict the ecosystemeffect of different types of extinctions.While existing monoculture approaches more directly test hypotheses about comple-mentary resource use, the compensation approach offers two advantages: 1) it ismore appropriate for testing how extinctions will affect ecosystem function, and 2) itmay provide an important link between assembly experiments in artificial communi-ties and removal experiments in natural systems.