Using geography to infer the importance of dispersal for the synchrony of freshwater plankton
Using geography to infer the importance of dispersal for the synchrony of freshwater plankton
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DOI：
10.1111/oik.04705
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发表时间：
2018-03-01
期刊：
影响因子：
3.4
通讯作者：
Reuman, Daniel C.
中科院分区：
文献类型：
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作者：
Anderson, Thomas L.;Walter, Jonathan A.;Reuman, Daniel C.
种群动态中的空间同步是一种普遍存在的生态现象，可能是由捕食者-猎物相互作用、同步环境变化（Moran效应）或扩散引起的。其中，扩散在历史上一直是最好的研究在自然系统中，部分原因是难以量化的原位扩散。我们假设浮游生物的扩散路线是基于主要的和一致的水流运动在肯塔基州湖，一个大型水库在美国西部肯塔基州。然后，使用26年的时间序列收集在16个地点，我们使用矩阵回归技术来测试是否空间异质性的强度假设扩散预测的浮游植物和浮游动物的同步空间格局，从而测试的证据扩散作为一个可能的机制，在这个系统中的同步。几乎所有的类群表现出显着的空间同步性，并没有随着位置之间的线性距离的增加而下降。所有类群也表现出大量的地理结构的同步性，这是不能解释的线性距离。矩阵回归表明，我们假设的矩阵的传播途径，这与线性距离有很大的不同，是一个显着的预测空间变异的同步浮游植物生物量，Bosmina longirostris和水蚤lumholtzi密度。因此，分散是一个可能的机制，这些类群的同步。我们假设的分散矩阵是一个显着的预测空间格局的同步性，这些类群，即使在考虑了许多其他可能的机制，包括可能的莫兰效应，通过任何10个物理/非生物的限制。我们的研究结果表明，统计比较假设或测量的传播途径信息的同步数据，通过矩阵回归可以提供有价值的证据扩散的重要性，作为一种机制的空间同步。
Spatial synchrony in population dynamics is a ubiquitous ecological phenomenon that can result from predator-prey interactions, synchronized environmental variation (Moran effects), or dispersal. Of these, dispersal historically has been the least well studied in natural systems, partly because of the difficulty in quantifying dispersal in situ. We hypothesized that dispersal routes of plankton were based on the major and consistent water current movements in Kentucky Lake, a large reservoir in western Kentucky, USA. Then, using 26-year time series collected at 16 locations, we used matrix regression techniques to test whether spatial heterogeneity in strengths of hypothesized dispersal predicted spatial patterns of synchrony of phytoplankton and zooplankton, thereby testing for evidence of dispersal as a possible mechanism of synchrony in this system. Nearly all taxa showed significant spatial synchrony that did not decline with increasing linear distance between locations. All taxa also showed substantial geographic structure in synchrony that was not explained by linear distance. Matrix regression revealed that our hypothesized matrix of dispersal pathways, which differed substantially from linear distance, was a significant predictor of spatial variability in synchrony in phytoplankton biomass, and Bosmina longirostris and Daphnia lumholtzi densities. Thus dispersal was a likely mechanism of synchrony for these taxa. Our hypothesized dispersal matrix was a significant predictor of spatial patterns of synchrony for these taxa even after accounting for numerous alternative possible mechanisms, including possible Moran effects through any of ten physical/abiotic constraints. Our findings indicate that statistically comparing hypothesized or measured dispersal pathway information to synchrony data via matrix regressions can provide valuable evidence for the importance of dispersal as a mechanism of spatial synchrony.