Evaluating sampling completeness in a desert plant-pollinator network
Evaluating sampling completeness in a desert plant-pollinator network
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DOI：
10.1111/j.1365-2656.2011.01883.x
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发表时间：
2012-01-01
影响因子：
4.8
通讯作者：
Padron, Benigno
中科院分区：
文献类型：
--
作者：
Chacoff, Natacha P.;Vazquez, Diego P.;Padron, Benigno
1.网络环境下植物传粉者相互作用的研究正受到越来越多的关注。这种方法有助于确定一些新兴的网络模式，如嵌套和模块化。然而，大多数研究仅基于定性信息，一些生态系统，如沙漠和热带森林，在这些数据集中代表性不足。我们提出了一个详尽的分析结构的4年植物授粉网络在阿根廷蒙特沙漠使用定性和定量的工具。我们描述了这个网络的结构，并使用渐近物种丰富度估计来评估采样的完整性。我们的目标是评估在何种程度上实现的采样工作允许物种相互作用的准确描述，并估计检测90%的相互作用所需的额外普查的最低数量。我们评估了社区范围内的传粉动物区系，传粉动物区系与每个植物物种和植物传粉者的相互作用的检测的完整性。我们还评估了取样完整性是否受到植物特征的影响，如花的丰度，花的寿命，种间联系的数量（程度）和选择性的身份，他们的花游客，以及采样努力。我们发现，这种荒漠植物-传粉者网络具有嵌套结构，并表现出模块化和高网络级泛化.尽管我们付出了很大的努力，虽然我们对80%的传粉动物群进行了采样，但我们只记录了55%的相互作用。此外，尽管增加64%的采样工作量就足以检测90%的传粉者物种，但要检测90%的相互作用，需要增加五倍的采样工作量。大多数植物物种的相互作用的检测是不完整的，特别是专家与一个长的开花季节和高的花丰度，或多面手与短的开花时间和花少。我们的研究结果表明，对所有植物物种进行相同努力的网络采样不足以对相互作用进行采样。对相互作用的多样性进行采样是劳动密集型的，迄今为止发表的大多数植物传粉者网络都可能采样不足。我们的分析允许估计我们的采样的完整性，检测大多数相互作用所需的额外努力，以及影响其相互作用检测的植物性状。
1. The study of plantpollinator interactions in a network context is receiving increasing attention. This approach has helped to identify several emerging network patterns such as nestedness and modularity. However, most studies are based only on qualitative information, and some ecosystems, such as deserts and tropical forests, are underrepresented in these data sets.2. We present an exhaustive analysis of the structure of a 4-year plant-pollinator network from the Monte desert in Argentina using qualitative and quantitative tools. We describe the structure of this network and evaluate sampling completeness using asymptotic species richness estimators. Our goal is to assess the extent to which the realized sampling effort allows for an accurate description of species interactions and to estimate the minimum number of additional censuses required to detect 90% of the interactions. We evaluated completeness of detection of the community-wide pollinator fauna, of the pollinator fauna associated with each plant species and of the plant-pollinator interactions. We also evaluated whether sampling completeness was influenced by plant characteristics, such as flower abundance, flower life span, number of interspecific links (degree) and selectiveness in the identity of their flower visitors, as well as sampling effort.3. We found that this desert plant-pollinator network has a nested structure and that it exhibits modularity and high network-level generalization.4. In spite of our high sampling effort, and although we sampled 80% of the pollinator fauna, we recorded only 55% of the interactions. Furthermore, although a 64% increase in sampling effort would suffice to detect 90% of the pollinator species, a fivefold increase in sampling effort would be necessary to detect 90% of the interactions.5. Detection of interactions was incomplete for most plant species, particularly specialists with a long flowering season and high flower abundance, or generalists with short flowering span and scant flowers. Our results suggest that sampling of a network with the same effort for all plant species is inadequate to sample interactions.6. Sampling the diversity of interactions is labour intensive, and most plant-pollinator networks published to date are likely to be undersampled. Our analysis allowed estimating the completeness of our sampling, the additional effort needed to detect most interactions and the plant traits that influence the detection of their interactions.