Trait expression of marine benthic assemblages across the UK shelf modelled for the years 1976 to 2020

The data consist of two trait expression datasets described in Bolam, Downie
and Cooper (2023). Used in conjunction with a number of raster data layers
(see paper for details) and the accompanying `R script`_ (
`https://github.com/CefasRepRes/OneBenthicTraitsMapping`_), these data can be
used to generate all paper outputs (i.e. Figures and Tables).

The two traits datasets provide trait expression-by-station for combinations
of 'Response' and 'Effect' trait categories. Response traits (i.e.,
Morphology, Egg Development, Living Habit, Sediment Position, Mobility) relate
to a taxon’s ability to respond (i.e., withstand/tolerate/recover) to a
natural or anthropogenic change in the environment, whilst Effects traits
(i.e. Body Size, Longevity, Larval Development, Feeding Mode, Bioturbation
Mode) reflect differences in functional potential. Trait expression is
calculated for each sample by multiplying taxon abundances (4th root
transformed) by their corresponding fuzzy coded trait modalities, with values
then summed across each trait modality.

Both the macrofaunal abundance and traits data used in this study and from
where this published dataset derives, come from the OneBenthic portal (
`https://rconnect.cefas.co.uk/onebenthic_portal/`_). Macrofauna data pertain
to ~33 thousand 0.1m2 grab and core samples processed over a 1mm sieve and
collected between 1976 and 2020. Traits data held in OneBenthic originate from
Clare et al. (2022), but have been augmented to account for some additional
taxa.

.. _`r script`:
https://github.com/CefasRepRes/OneBenthicTraitsMapping

.. _`https://github.com/cefasrepres/onebenthictraitsmapping`:
https://github.com/CefasRepRes/OneBenthicTraitsMapping

.. _`https://rconnect.cefas.co.uk/onebenthic_portal/`:
https://rconnect.cefas.co.uk/onebenthic_portal/

该数据集由 Bolam、Downie 和 Cooper（2023年）所描述的两种性状表达数据集构成。在结合一系列栅格数据层（详情请参阅相关论文）以及配套的 `R 脚本`_（`https://github.com/CefasRepRes/OneBenthicTraitsMapping`_）后，这些数据可用于生成论文中的所有输出（即图表和表格）。两种性状数据集提供了针对'响应'和'效应'性状类别的性状表达按站点的组合。响应性状（例如形态、卵发育、生活习性、沉积物位置、移动性）与物种对环境中的自然或人为变化（即承受/耐受/恢复）的响应能力相关，而效应性状（例如体型、寿命、幼虫发育、摄食方式、扰动模式）则反映了功能潜力的差异。性状表达通过将物种丰度（经过四次方根转换）与其相应的模糊编码性状模态相乘，然后将每个性状模态的值求和来计算每个样本。本研究中使用的宏观动物丰度和性状数据，以及本出版数据集的来源，均来自 OneBenthic 门户（`https://rconnect.cefas.co.uk/onebenthic_portal/`_）。宏观动物数据涉及1976年至2020年间收集的约33,000个0.1平方米的抓取和钻探样本，这些样本通过1毫米筛子处理。OneBenthic 中的性状数据源自 Clare 等人（2022年）的研究，但已增加以涵盖一些额外的物种。

.. _`r script`: https://github.com/CefasRepRes/OneBenthicTraitsMapping

.. _`https://github.com/cefasrepres/onebenthictraitsmapping`: https://github.com/CefasRepRes/OneBenthicTraitsMapping

.. _`https://rconnect.cefas.co.uk/onebenthic_portal/`: https://rconnect.cefas.co.uk/onebenthic_portal/