How can my research paper be useful for future meta-analyses on forest restoration plantations?
Authors
Andivia Muñoz, Enrique; Villar Salvador, Pedro; Oliet Palá, Juan Antonio; Puértolas Simón, Jaime; Dumroese, KasIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/37888DOI: 10.1007/s11056-018-9631-y
ISSN: 0169-4286
Date
2019Embargo end date
2020-01-01Funders
Comunidad de Madrid
Ministerio de Economía
Bibliographic citation
New Forests, 2019, v. 50, n. 2, p. 255-266
Keywords
Data quality
Data reporting
Meta-analysis
Methodology guideline
Seedling quality
Research synthesis
Project
Remedinal-3 S2013/MAE-2719 (Comunidad de Madrid)
FPDI-2013-15573 (Ministerio de Economía)
info:eu-repo/grantAgreement/MINECO//CGL2014-53308-P/ES/SERVICIOS DE LA AVIFAUNA (HIGH MOBILE LINK SPECIES) EN MOSAICOS AGROFORESTALES: REGENERACION FORESTAL Y REGULACION DE PLAGAS/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2018 Springer Science
Access rights
info:eu-repo/semantics/openAccess
Abstract
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
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