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首页> 外文期刊>Ecological indicators >Hard to predict: Synchrony in epiphytic biomass in a floodplain is independent of spatial proximity, environmental distance, and environmental synchrony
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Hard to predict: Synchrony in epiphytic biomass in a floodplain is independent of spatial proximity, environmental distance, and environmental synchrony

机译:难以预测:洪泛区附生生物量的同步性与空间邻近性,环境距离和环境同步性无关

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摘要

Population synchrony occurs when local population abundances increase and decrease simultaneously over time. In terms of other characteristics that can be measured in ecosystems, such as biomass and nutrient content, intrinsic and extrinsic processes have also been used to explain synchronic variation patterns. Synchrony may clarify whether regional processes are more important than local processes. This study used epiphytic biomass data (chlorophyll-a) collected from eight locations in a floodplain over 11 years. The goal was to estimate epiphytic biomass synchrony. We anticipated that high synchrony levels would be consistent with the strong impact of floods, which affect different floodplain habitats simultaneously. This is equivalent to the Moran effect. In contrast, low synchrony levels would be consistent with the hypothesis that the high environmental heterogeneity of floodplains hampers synchrony. Our results indicated low synchrony, and its variation was not correlated with geographic or environmental distances nor with environmental synchrony. Also, regression models demonstrated low predictive power of local environmental variables in predicting biomass variation in the different sites. In addition, we performed a meta-analysis that confirms the generality of our findings. In conclusion, these results challenge the efficiency of epiphytic biomass as an ecological indicator, at least in floodplain systems.
机译:当本地人口数量随时间同时增加和减少时,就会发生人口同步。就可以在生态系统中测量的其他特征(例如生物量和营养成分)而言,内在和外在过程也已用于解释同步变化模式。同步可以阐明区域过程是否比本地过程更重要。这项研究使用了11年间从洪泛区八个位置收集的附生生物量数据(叶绿素a)。目的是估计附生生物量同步性。我们预计高同步水平将与洪水的强大影响相一致,洪水同时影响不同的洪泛区生境。这相当于莫兰效应。相反,低同步水平与洪泛区的高环境异质性阻碍同步的假设是一致的。我们的结果表明同步性较低,其变化与地理或环境距离或环境同步性均不相关。此外,回归模型还显示出本地环境变量在预测不同地点生物量变化方面的低预测能力。此外,我们进行了荟萃分析,证实了我们发现的一般性。总之,这些结果至少在洪泛区系统中挑战了附生生物质作为生态指标的效率。

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