大型无脊椎动物的微生境选择:河流间的普遍性和功能解释

IF 4.6 Q2 ENVIRONMENTAL SCIENCES
M. Forcellini, L. Plichard, S. Dolédec, S. Mérigoux, J. Olivier, S. Cauvy‐Fraunié, N. Lamouroux
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引用次数: 10

摘要

水力微生境选择模型在河流间的可移植性一直备受争议。它可以影响管理决策,如恢复措施或环境流定义。本文对分布于德国和法国11条小河至大河的91次调查(地点×日期)中2128个Surber或Hess样本的141种258个大型无脊椎动物类群的微生境选择模型进行了更新。我们比较了四个水力变量的微生境选择,这些变量是使用混合效应模型开发的,该模型解释了观测到的丰度的过度分散,部分原因是空间聚集。基于床层剪应力、水柱速度和弗劳德数的模型具有相似的结果,并且比基于水深的模型更强。对于这些与速度相关的变量,61 ~ 78%的模型是显著的,并且在类群之间显示出不同的响应形式。具有所有调查共同响应形式的“平均”微生境选择模型的解释力为具有可变响应形式的更详细模型的解释力的78-83%。微生境的选择与运动、与基质或食物类型的关系等生物学性状有显著关联,这表明微生境的选择是一般生物学过程的结果。我们的研究结果显示了高度的可转移性,可用于许多基础和应用生态学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microhabitat selection by macroinvertebrates: generality among rivers and functional interpretation
Abstract The transferability of hydraulic microhabitat selection models among rivers has been largely debated. It can influence management decisions such as restoration measures or environmental flow definitions. We updated microhabitat selection models for 258 macroinvertebrate taxa, with 141 species, collected in 2128 Surber or Hess samples during 91 surveys (sites × dates) distributed in eleven small streams to large rivers of Germany and France. We compared microhabitat selection for four hydraulic variables, developed using mixed-effects models that account for the overdispersion of observed abundance, partly due to spatial aggregation. Models based on bed shear stress, water column velocity and Froude number showed comparable results and were stronger than models for water depth. For these velocity-related variables, 61–78% of models were significant and revealed variable response forms among taxa. The explanatory power of “average” microhabitat selection models, with response forms common to all surveys, was 78–83% of the explanatory power of more detailed models with variable response forms. Significant associations with biological traits such as locomotion, relation to substrate or food types suggested that microhabitat selection results from general biological processes. Our results indicate a high degree of transferability and can be useful in many basic and applied ecological studies.
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CiteScore
7.10
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