Estimating the richness of species with variable mobility
Estimating the richness of species with variable mobility
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DOI：
10.1111/j.0030-1299.2004.12884.x
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发表时间：
2004-05-01
期刊：
影响因子：
3.4
通讯作者：
Martinez, ND
中科院分区：
文献类型：
--
作者：
Brose, U;Martinez, ND
绝大多数物种是动物，与大多数植物和真菌不同，它们具有多变的流动性，而且往往具有高度的流动性。虽然物种的迁移性影响物种被抽样的概率，但迁移性对物种丰富度估计的影响尚未得到系统的研究。信息丰富的基于丰度的估计器可能能够处理不同的流动物种，但这些估计器的准确性也有待调查。在这里，我们通过可变抽样多达250个物种的模拟景观并评估10个非参数估计器和1个物种累积曲线的性能来解决这两个问题。我们的结果表明，一些基于丰度的估计器与更广为人知和经过测试的基于关联的估计器一样准确。物种间运动异质性的增加降低了样本覆盖率，从而降低了估计器的性能，这系统地决定了哪个估计器最准确。基于这些发现，我们提出了第一个决策框架，用于在许多可用的基于丰度的物种丰富度估计器中选择最准确的。这些基于数据覆盖范围的决定可以显著提高调查人员估计动物物种丰富度的能力。
The vast majority of species are animals that, unlike most plants and fungi, are variably and often highly mobile. While species' mobility affects species' probabilities of being sampled, effects of movement on the estimation of species richness have yet to be systematically investigated. Information-rich abundance-based estimators may be able to address variably mobile species but the accuracy of these estimators has also yet to be investigated. Here, we address both issues by variably sampling simulated landscapes with up to 250 species and evaluating the performance of ten non-parametric estimators and one species accumulation curve. Our results show that some abundance-based estimators are as accurate as better known and tested incidence-based estimators. Increased movement heterogeneity between the species reduced estimator performance by reducing the sample coverage, which systematically determined which estimator was most accurate. Based on these findings, we present the first decision framework for choosing the most accurate of many available abundance-based species-richness estimators. These decisions, based on data coverage, can significantly improve investigators' ability to estimate faunal species richness.