Functional diversity shapes the stability of reef fish biomass under global change

Understanding how environmental and human pressures impact the temporal stability of fish community biomass on shallow reefs is essential for effective conservation and management. These pressures influence community stability directly, by affecting species stability and asynchrony in species’ fluctuations. However, their effects may also indirectly depend on the functional traits of the species composing the community, which remains poorly understood. Here, we examine both direct and indirect, trait-mediated effects of environmental variability and human impacts on species biomass stability and asynchrony in 215 Australian shallow reefs. These communities span a 10-degree sea surface temperature (SST) gradient and have been monitored over 14 years. Our results indicate higher asynchrony in tropical reefs due to higher trait diversity and trait redundancy and higher species stability in temperate communities due to higher mean trophic level. Human impacts, through its negative effects o..., We quantitatively evaluate the direct and indirect effects of environmental and human pressures on the temporal stability of fish community biomass. We use an extensive shallow reef monitoring dataset that spans the entire Australian continent during a sea warming period punctuated by multiple extreme marine heatwaves (2008-2021) with observable impacts on fish populations. We focus on 215 fish communities on shallow rocky and coral reefs distributed across Australia, along a spatial gradient of mean sea surface temperature (hereafter mean SST) that ranges from 13.9 to 25.4 °C (mean = 19.3 Â± 3.1 °C; Supplementary Figure 1). For each community, we characterise two aspects of climate change that capture (i) the linear trend in sea surface temperature through time (hereafter SST change) [32] and (ii) the temporal variability in SST caused by increasingly frequent marine heatwaves (hereafter CVSST). We also consider the temporal variability in marine primary productivity, measured by c..., , # Functional diversity shapes the stability of reef fish biomass under global change

[https://doi.org/10.5061/dryad.1g1jwsv5z](https://doi.org/10.5061/dryad.1g1jwsv5z)

## Description of the data and file structure

We used raw data, which are freely available. URLs are given in Supplementary Table 3, which accompanies our submitted manuscript. The R code used for data processing and analysis is given in this Dryad folder.

### Files and variables

#### File: final\_data.rds

**Description:** This is the processed data used in our analysis. It contains site attributes, fish biodiversity facets and abiotic variables. Missing values are NA.

More specifically, the 39columns correspond to:

* site_code : name of the site (i.e., fish community) as in Edgar et al. (2023)
* Longitude of the site
* Latitude of the site
* mean \_ annual_biomass: averaged of annual total fish biomass across the 14 years of survey (unit: g) for each site. For each community, we summed the annual biomass of each ...,

# 功能多样性调控全球变化下礁区鱼类生物量的稳定性

探明环境与人为压力如何影响浅礁鱼类群落生物量的时间稳定性，对开展高效的保护与管理工作至关重要。此类压力可通过影响物种种群稳定性与物种波动的异步性，直接作用于群落稳定性。然而，其影响也可能间接依赖于群落组成物种的功能性状，目前学界对此的认知仍较为匮乏。本研究针对澳大利亚215处浅礁，探究了环境变异性与人类活动影响对鱼类生物量稳定性及物种波动异步性的直接、间接及性状介导效应。这些样地覆盖了10℃的海表温度（SST）梯度，且已开展了长达14年的监测。研究结果显示，热带礁区的物种波动异步性更高，这源于其较高的功能多样性与功能冗余；而温带群落的物种种群稳定性更高，则归因于更高的平均营养级。人类活动通过其负面效应……

本研究定量评估了环境与人为压力对鱼类群落生物量时间稳定性的直接与间接影响。我们使用了覆盖澳大利亚全大陆的大规模浅礁监测数据集，该数据集采集于一段经历多次极端海洋热浪（2008-2021年）的海洋变暖时期，这些热浪已对鱼类种群产生了可观测的影响。本研究聚焦于澳大利亚境内分布于浅岩礁与珊瑚礁上的215个鱼类群落，其所在区域的平均海表温度（下称平均SST）空间梯度范围为13.9至25.4℃（平均值=19.3±3.1℃；补充图1）。针对每个群落，我们刻画了气候变化的两个维度：(i) 海表温度随时间的线性变化趋势（下称SST变化）[32]；(ii) 由愈发频发的海洋热浪所导致的海表温度时间变异性（下称CVSST）。此外，我们还考量了以……衡量的海洋初级生产力时间变异性。

[https://doi.org/10.5061/dryad.1g1jwsv5z](https://doi.org/10.5061/dryad.1g1jwsv5z)

## 数据与文件结构说明
本研究使用的原始数据可公开获取，相关URL详见随投稿手稿一同提交的补充表3。本研究用于数据处理与分析的R代码已上传至本Dryad数据集文件夹中。

### 文件与变量
#### 文件：final_data.rds
**描述**：本文件为本研究分析所用的预处理数据，包含样地属性、鱼类生物多样性维度与非生物变量。数据中的缺失值以NA表示。
具体而言，该文件包含39列变量，分别为：
* site_code：样地（即鱼类群落）名称，参考Edgar等人（2023）的命名规范
* 样地经度
* 样地纬度
* mean_annual_biomass：各站点14年监测周期内的年度总鱼类生物量平均值（单位：克）。针对每个群落，我们首先汇总了各……