Data used to support a meta-analysis investigating ecological effects of urban lawn management

This data supports a meta-analysis investigating ecological impacts of intense lawn management (mowing). Raw data on invertebrate abundance and temperature data was collected by Léonie Carignan-Guillemette (2018) and Caroline Turcotte (2017) under the supervision of Raphaël Proulx and Vincent Maire (refer to Appendix S1 within related publication for more information). Other data was gathered and processed according to the following: We searched the Scopus database on 8 February, 2019 with the following combinations of keywords: (lawn OR turf) AND mowing AND (urban OR city). Generally, studies were ineligible when: full-text of the article was not available even after contacting the authors; mowing was incidental to the study and not an experimental factor; response variables were not ecologically relevant; confounding factors (e.g. fertilisation) could not be isolated; a non-urban context was used; or simulated data were presented. We extracted the mean and statistical variation (standard deviation or standard error) for each response variable in control (less-intensively mown) and treatment (intensively mown) groups. Reported data were used when available. Otherwise, data were extracted from published figures using the Web Plot Digitizer tool. Where summary data on median, and interquartile range was presented, mean and standard deviation was estimated. Variables with multi-temporal data (e.g. soil moisture) were summarised using the mean and pooled standard deviation to provide an aggregated value per site per year. Where seasonal trends were evident in raw multi-temporal data (e.g. soil temperature), data was detrended using a polynomial function and analysis applied to the residuals.

本数据集用于支持一项关于高强度草坪管理（修剪）生态影响的元分析研究。无脊椎动物丰度及温度数据的原始数据集由Léonie Carignan-Guillemette（2018）与Caroline Turcotte（2017）在Raphaël Proulx及Vincent Maire的指导下采集，详细信息可参见相关发表文献的附录S1。
其余数据集的采集与处理流程如下：我们于2019年2月8日在斯科普斯数据库（Scopus）中进行了检索，检索关键词组合为：(草坪 OR 草皮) AND 修剪 AND (城市 OR 都市)。
通常而言，以下情形的研究将被排除：即便联系作者后仍无法获取全文；修剪为研究附带操作而非实验因子；响应变量与生态学研究无关；混杂因子（如施肥）无法被分离；研究场景非城市环境；或采用模拟数据。
我们提取了对照组（低强度修剪组）与处理组（高强度修剪组）中各响应变量的均值及统计变异量（标准差或标准误）。
若文献中已提供直接数据，则直接采用；否则通过网页取图工具（Web Plot Digitizer）从已发表的图表中提取数据。
若文献仅提供中位数及四分位距的汇总数据，则通过估算得到均值与标准差。
对于含多时间维度数据的变量（如土壤含水量），我们通过均值与合并标准差的方式进行汇总，以得到每个样地每年的聚合值。
若原始多时间维度数据存在明显季节趋势（如土壤温度），则通过多项式函数对数据进行去趋势处理，并基于残差开展后续分析。