Seagrass-associated fish data

Supplementary materials accompanying the paper:<i>The fingerprint of functional strategies in Mediterranean seagrass fish assemblages</i>Bruno Bellisario, Azzurra Lattanzi, Roberta CimmarutaSeagrassFish_funspace.xlsx - Each sheet in this file includes a series of information about the functional traits of fish associated with <i>Posidonia oceanica</i>, <i>Cymodocea nodosa</i> and <i>Zostera marina</i>. More information can be found in the README sheet.brm_funspace.R - This code is meant to provide a wrapper to the original funspaceGAM function in the funspace package of R. The main goal is to provide a way to incorporate the model fitting from a Bayesian multinomial regression model with smoothing splines (package brms) into the original function that relies on the package mgcv, which itself does not allow for generalized additive models with multinomial families.brm_model.rds &amp; funspace_data.rds - Results from the Bayesian regression and the functional space analysis as a R Data Serialization file (.rds), to speed-up the code and avoiding excessive computation time.<br><br>

本数据集为论文《地中海海草床鱼类群落的功能策略特征》（*The fingerprint of functional strategies in Mediterranean seagrass fish assemblages*）的配套补充材料，作者为Bruno Bellisario、Azzurra Lattanzi与Roberta Cimmaruta。

1. SeagrassFish_funspace.xlsx：该文件的每个工作表均包含与大洋海神草（*Posidonia oceanica*）、喜盐草（*Cymodocea nodosa*）及大叶藻（*Zostera marina*）伴生鱼类的功能性状相关的一系列信息。更多细节可查阅README工作表。
2. brm_funspace.R：本代码用于对R语言funspace包中的原生funspaceGAM函数进行封装。其核心目标是实现将基于平滑样条的贝叶斯多项回归模型（通过brms包实现）的模型拟合结果，整合至原生的funspaceGAM函数中——该原生函数依赖mgcv包，而mgcv包本身并不支持带多项分布族的广义加性模型。
3. brm_model.rds 与 funspace_data.rds：贝叶斯回归与功能空间分析的结果，以R数据序列化文件（.rds）格式存储，用于加速代码运行并避免过长的计算耗时。