Ecological Networks, Department of Biology, TU Darmstadt, Schnittspahnstr. 3, 64287 Darmstadt, Germany
Ecological Networks, Department of Biology, TU Darmstadt, Schnittspahnstr. 3, 64287 Darmstadt, Germany.
AoB Plants. 2015 Jul 10;7:plv076. doi: 10.1093/aobpla/plv076.
Ecological networks are a useful tool to study the complexity of biotic interactions at a community level. Advances in the understanding of network patterns encourage the application of a network approach in other disciplines than theoretical ecology, such as biodiversity conservation. So far, however, practical applications have been meagre. Here we present a framework for network analysis to be harnessed to advance conservation management by using plant-pollinator networks and islands as model systems. Conservation practitioners require indicators to monitor and assess management effectiveness and validate overall conservation goals. By distinguishing between two network attributes, the 'diversity' and 'distribution' of interactions, on three hierarchical levels (species, guild/group and network) we identify seven quantitative metrics to describe changes in network patterns that have implications for conservation. Diversity metrics are partner diversity, vulnerability/generality, interaction diversity and interaction evenness, and distribution metrics are the specialization indices d' and [Formula: see text] and modularity. Distribution metrics account for sampling bias and may therefore be suitable indicators to detect human-induced changes to plant-pollinator communities, thus indirectly assessing the structural and functional robustness and integrity of ecosystems. We propose an implementation pathway that outlines the stages that are required to successfully embed a network approach in biodiversity conservation. Most importantly, only if conservation action and study design are aligned by practitioners and ecologists through joint experiments, are the findings of a conservation network approach equally beneficial for advancing adaptive management and ecological network theory. We list potential obstacles to the framework, highlight the shortfall in empirical, mostly experimental, network data and discuss possible solutions.
生态网络是研究群落水平生物相互作用复杂性的有用工具。对网络模式的理解的进步鼓励将网络方法应用于理论生态学以外的其他学科,例如生物多样性保护。然而,到目前为止,实际应用还很少。在这里,我们提出了一个网络分析框架,以便利用植物-传粉者网络和岛屿作为模型系统来推进保护管理。保护实践者需要指标来监测和评估管理效果,并验证整体保护目标。通过区分两种网络属性,即“多样性”和“分布”,以及三个层次(物种、 guild/group 和网络),我们确定了七个定量指标来描述对保护有影响的网络模式变化。多样性指标是伙伴多样性、脆弱性/通用性、相互作用多样性和相互作用均匀性,分布指标是专业化指数 d' 和 [Formula: see text] 和模块性。分布指标考虑了采样偏差,因此可能是检测人为改变植物-传粉者群落的合适指标,从而间接评估生态系统的结构和功能稳健性和完整性。我们提出了一个实施途径,概述了在生物多样性保护中成功嵌入网络方法所需的阶段。最重要的是,只有通过从业者和生态学家通过联合实验来协调保护行动和研究设计,保护网络方法的研究结果才同样有利于推进适应性管理和生态网络理论。我们列出了该框架的潜在障碍,强调了经验性网络数据的不足,主要是实验性网络数据,并讨论了可能的解决方案。