Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes

The island species-area relationship (ISAR) describes how species richness increases with increasing area of a given island or island-like habitat, such as freshwater lakes. While the ISAR is one of the most common phenomena observed in ecology, there is variation in both the form of the relationship and its underlying mechanisms.
We compiled a global dataset of benthic macroinvertebrates from 524 shallow freshwater lakes, ranging from 1 to 293300 ha in area. We used individual-based rarefaction to determine the degree to which ISAR was influenced by mechanisms other than passive sampling (larger islands passively sample more individuals from the regional pool and, therefore, have more species than smaller islands), which would bias results away from expected relationships between rarefied species richness (and other measures that capture relative abundances) and lake area. We also examined how climate may alter the shape of the ISARs.
We found that both rarefied species richness (the ..., We compiled data from studies that used a similar sampling methodology to collect macroinvertebrates from lakes that varied in area. Our dataset consisted of 524 freshwater lakes from across the globe sampled at least once from 1974–2021. Data from 505 lakes was contributed by co-authors of this study and included lakes in Denmark (n = 198), China (n =131), Finland (n = 96), USA (n = 48), New Zealand (n = 15), Greece (n =11), Mexico (n = 4) and Russia (n = 2). Most of these data had been published previously. We also included data from an additional 19 lakes identified in a Google Scholar literature review using the search terms \"shallow lake\" AND \"zoobenthos\" OR \"benthic macroinvertebrate\". From this, we identified sources that reported taxonomic-level abundance and nutrient concentrations and met the sampling criteria applied in the other studies (mean depth < 10 m and sampling conducted in offshore zones and warm seasons). These data come from six publications. See details in pape..., , # Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes

## Description of the data and file structure

These are the metadata and codes of the study \"Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes\", which has been accepted in the Journal of Animal Ecology.

Our dataset consisted of 524 freshwater lakes from across the globe sampled at least once from 1974–2021. Data from 505 lakes was contributed by co-authors of this study and included lakes in Denmark, China, Finland, USA, New Zealand , Greece, Mexico and Russia. Most of these data had been published previously (Drake et al., 2011; Hu et al., 2014; Jyväsjärvi et al., 2014; Ntislidou et al., 2018; Cortés-Guzmán et al., 2019; Zhang et al., 2019; Jeppesen et al., 2020; Loskutova, 2020; Jovem-Azevêdo et al., 2022; Wu et al., 2022). We also included data from an additional 19 la...

岛屿物种面积关系（island species-area relationship, ISAR）阐述了特定岛屿或类岛屿生境（如淡水湖泊）的物种丰富度如何随面积增加而提升。尽管ISAR是生态学中最常见的观测现象之一，但该关系的形式及其背后的作用机制均存在差异。
我们整合了来自全球524个浅水淡水湖泊的底栖大型无脊椎动物数据集，这些湖泊的面积范围为1至293300公顷。我们采用基于个体的稀疏分析法，以判断除被动采样机制外的其他因素对ISAR的影响程度——被动采样机制指更大的岛屿会被动采样到区域物种库中更多的个体，因此相比小型岛屿拥有更多物种，该机制会使基于稀疏物种丰富度（及其他反映相对多度的指标）与湖泊面积的预期关系产生偏差。此外，我们还探究了气候如何改变ISAR的形态。
我们发现稀疏物种丰富度（……），我们从采用相似采样方法、采集不同面积湖泊大型无脊椎动物样本的研究中整合数据。本数据集涵盖全球范围内524个淡水湖泊，采样时间跨度为1974年至2021年，且每个湖泊至少被采样1次。其中505个湖泊的数据集由本研究的合作者提供，分布于丹麦（198个）、中国（131个）、芬兰（96个）、美国（48个）、新西兰（15个）、希腊（11个）、墨西哥（4个）与俄罗斯（2个）。这些数据大多已在先前的研究中发表。我们还通过Google Scholar文献检索，使用检索词"shallow lake" AND "zoobenthos" OR "benthic macroinvertebrate"，额外纳入了19个湖泊的相关数据。经筛选，我们选取了同时报道了分类群多度与营养盐浓度、且满足其他研究采样标准（平均水深<10米、采样区域为离岸带且采样季节为暖季）的文献来源，共计6篇。详细内容见论文……
# 浅水淡水湖泊底栖大型无脊椎动物物种面积关系驱动因子的气候相关变异
## 数据与文件结构说明
本数据集对应已被《动物生态学杂志》（Journal of Animal Ecology）接收的研究《浅水淡水湖泊底栖大型无脊椎动物物种面积关系驱动因子的气候相关变异》的元数据与代码。
我们的数据集涵盖全球范围内524个淡水湖泊，采样时间跨度为1974年至2021年，且每个湖泊至少被采样1次。其中505个湖泊的数据集由本研究的合作者提供，分布于丹麦、中国、芬兰、美国、新西兰、希腊、墨西哥与俄罗斯。这些数据大多已在先前的研究中发表（Drake et al., 2011; Hu et al., 2014; Jyväsjärvi et al., 2014; Ntislidou et al., 2018; Cortés-Guzmán et al., 2019; Zhang et al., 2019; Jeppesen et al., 2020; Loskutova, 2020; Jovem-Azevêdo et al., 2022; Wu et al., 2022）。我们还额外纳入了19个……