Data codification of the articles included in the systematic review on ground-dwelling arthropods as temperate grassland indicators

Published: 21 June 2022| Version 1 | DOI: 10.17632/7t72h95x9v.1


The datasets presented here are related to the systematic review entitled "Edaphic arthropods as indicators of the ecological condition of temperate grassland ecosystems: a systematic review" (Solascasas et al., 2022). We conducted our systematic literature review following the methodology of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) designed for indexed publications. We conducted a survey using the Web of Science™ (Clarivate Analytics, 2020) database up to December 2020. We analysed the content of the included studies and created two databases. The first database (database1) was used to identify the taxonomic groups of arthropods usually selected to assess specific management practices, land uses, or processes (e.g., restoration success) and the indices more frequently measured. This database included general information to characterise the study (e.g., year of publication, geographical area, grassland type, taxonomic group, monitoring method, among others). We created a second database (database2) where we registered the specific response of the arthropods chosen as ecological indicators. In this database, we incorporated as many rows per paper as taxonomic groups used and as indices evaluated for each category of assessment. Given the diversity of grassland factors being evaluated in our sample of studies, we established categories (e.g., grazing, mowing, burning, land use, restoration strategies, etc.) allowing us to better synthesise the response of the different indicators. For each case study we reported information on the specific arthropod used, the index determined and the significance of the response (significant/not significant or not specified in the study), as well as the direction of the response, when it was conclusive.


Steps to reproduce

Please see the Material and methods section in Solascasas et al. (2022).


Universidad Autonoma de Madrid


Ecological Indicator, Arthropoda, Grassland Ecology