RT info:eu-repo/semantics/article T1 How can my research paper be useful for future meta-analyses on forest restoration plantations? A1 Andivia Muñoz, Enrique A1 Villar Salvador, Pedro A1 Oliet Palá, Juan Antonio A1 Puértolas Simón, Jaime A1 Dumroese, Kas K1 Data quality K1 Data reporting K1 Meta-analysis K1 Methodology guideline K1 Seedling quality K1 Research synthesis K1 Medio Ambiente K1 Environmental science AB Statistical meta-analysis is a powerful and useful tool to quantitatively synthesizethe information conveyed in published studies on a particular topic. It allows identifyingand quantifying overall patterns and exploring causes of variation. The inclusion ofpublished works in meta-analyses requires, however, a minimum quality standard of thereported data and information on the methodology used. Our experience with conductinga meta-analysis on the relationship between seedling quality and field performance is thatnearly one third of the apparently relevant publications had to be discarded because essentialdata, usually statistical dispersion parameters, were not properly reported. In addition,we encountered substantial difficulty to explore the effect of covariates due to the poordescription of nursery cultivation methods, plantation location, and management in a significantproportion of the selected primary studies. Thus, we present guidelines for improvingmethodology detail and data presentation so that future forest restoration-orientedresearch can be more readily incorporated into meta-analyses. In general, research studiesshould report data on means, sample size, and any measure of variation even if they arenot statistically significant SN 0169-4286 YR 2019 FD 2019 LK http://hdl.handle.net/10017/37888 UL http://hdl.handle.net/10017/37888 LA eng NO Comunidad de Madrid DS MINDS@UW RD 28-mar-2024