Dataset: General trends after forty years of predictive models applied to benthic macroinvertebrates from the marine, estuarine and freshwater environment

In order to synthesize the main predictive models applied to benthic macroinvertebrates, we conducted a systematic literature review. The reporting of this systematic literature review was guided by the standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement. PRISMA is a guideline that helps researchers to report more clearly the methodology applied in systematic reviews (i.e., information source, eligibility criteria, selection of included studies, data extraction and analysis) in order to make it more transparent and reliable (Moher et al., 2009; Sarkis-Onofre et al., 2021). The main steps in the classification of studies for this systematic review are depicted in Figure 1. Studies were identified in the Web of Science database in December 2020 applying the limit date from 1945 to 2020, using the following search terms: ((model* OR simula*) AND (benth* OR macrozoobenth* OR macrobenth OR macroinvertebrates OR invertebrates) NOT (Benth OR Bentham OR Bentheim OR Bentheimer OR BENTHEM OR BENTHIOCARB OR benthamii OR benthamiana)). The terms included after the ‘NOT’ boolean operator were used to avoid records not related to the benthic fauna.

为了整合应用于底栖大型无脊椎动物的主流预测模型，本研究开展了系统文献综述。本次系统文献综述的报告撰写遵循《系统评价与元分析首选报告条目》（Preferred Reporting Items for Systematic Review and Meta-Analysis, PRISMA）声明的规范。PRISMA是一项指南，旨在帮助研究者更清晰地报告系统综述中采用的研究方法（即信息来源、纳入标准、纳入研究筛选流程、数据提取与分析方法），以提升综述的透明度与可信度（Moher等人，2009；Sarkis-Onofre等人，2021）。本次系统综述的研究筛选分类主要步骤如图1所示。本研究于2020年12月在Web of Science数据库中进行文献检索，检索时限为1945年至2020年，采用以下检索式：((模型* OR 模拟*) AND (底栖* OR 大型底栖动物* OR 大型底栖生物 OR 大型无脊椎动物 OR 无脊椎动物) NOT (Benth OR Bentham OR Bentheim OR Bentheimer OR BENTHEM OR BENTHIOCARB OR benthamii OR benthamiana))。检索式中“NOT”布尔运算符后的关键词用于排除与底栖动物无关的检索结果。