Hierarchical Modelling Reveals Local Environmental Metrics as Key Predictors of Fish Stream Assemblage Structure

IF 1.6 3区农林科学 Q3 FISHERIES

Ecology of Freshwater Fish Pub Date : 2025-04-29 DOI:10.1111/eff.70006

Fabiane Barreto Souza, Alexandre Clistenes Alcântara Santos, André Teixeira da Silva, Nuno Caiola

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引用次数: 0

Abstract

Environmental factors act at multiple spatial scales, shaping the fish assemblage structure in streams. Understanding catchment-stream relationships through hierarchical classification can aid in the conservation and management of freshwater ecosystems. The main goal of our work was to use the Hierarchical Modelling of Species Communities framework to answer the following questions: Which environmental variables are more important in structuring stream assemblages? Do ecomorphological traits influence species' responses to environmental conditions? What is the pattern of species co-occurrences along the streams? We fitted models with two alternative response datasets: a community matrix (site × species) with presence/absence data (PA) and abundance data (ABU). Species ecomorphological traits were also included in the models. We tested models considering the environmental variables at each scale separately (local and catchment) and considering all variables together. Variables at the local scale explained 57.1% (PA) and 53.3% (ABU) of the overall variance portion partitioning, while catchment variables explained only 36.6% and 23.3%, respectively. Traits explained only 47.9% (PA) and 18.93% (ABU) of the variation. No significant correlation between species co-occurrences was found. Our results suggest that local-scale metrics better predict the structure of fish assemblages in headwater streams from the Chapada Diamantina region of Caatinga.

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层次模型揭示了局部环境指标是鱼流组合结构的关键预测因子

环境因素在多个空间尺度上起作用，塑造了溪流中鱼类的群落结构。通过等级分类了解流域与河流的关系有助于淡水生态系统的保护和管理。我们工作的主要目标是使用物种群落的分层建模框架来回答以下问题：哪些环境变量在构建流组合中更重要？生态形态特征是否影响物种对环境条件的反应？沿着溪流物种共同出现的模式是什么？我们用两个可选的响应数据集来拟合模型：包含存在/缺失数据（PA）和丰度数据（ABU）的群落矩阵（地点×物种）。物种生态形态特征也包括在模型中。我们测试了分别考虑每个尺度（当地和流域）的环境变量和一起考虑所有变量的模型。局部尺度变量解释了总方差部分划分的57.1% （PA）和53.3% (ABU)，而流域变量分别只解释了36.6%和23.3%。性状对变异的解释分别为47.9% （PA）和18.93% （ABU）。物种共现现象之间无显著相关性。我们的研究结果表明，局部尺度的指标可以更好地预测Caatinga Chapada Diamantina地区源头溪流中鱼类组合的结构。

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来源期刊

Ecology of Freshwater Fish 农林科学-海洋与淡水生物学

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

12-24 weeks

期刊介绍： Ecology of Freshwater Fish publishes original contributions on all aspects of fish ecology in freshwater environments, including lakes, reservoirs, rivers, and streams. Manuscripts involving ecologically-oriented studies of behavior, conservation, development, genetics, life history, physiology, and host-parasite interactions are welcomed. Studies involving population ecology and community ecology are also of interest, as are evolutionary approaches including studies of population biology, evolutionary ecology, behavioral ecology, and historical ecology. Papers addressing the life stages of anadromous and catadromous species in estuaries and inshore coastal zones are considered if they contribute to the general understanding of freshwater fish ecology. Theoretical and modeling studies are suitable if they generate testable hypotheses, as are those with implications for fisheries. Manuscripts presenting analyses of published data are considered if they produce novel conclusions or syntheses. The journal publishes articles, fresh perspectives, and reviews and, occasionally, the proceedings of conferences and symposia.