Enhancing Pine Growth: A Meta-Analysis of Fertilizer and Treatment Effects on Pine Species
DOI:
https://doi.org/10.5281/zenodo.14065027Keywords:
Pine, Meta-analysis on pine, Seedling growth, Publication bias, HeterogeneityAbstract
This meta-analysis examines the growth dynamics of various Pinus species in response to different fertilization and environmental management strategies. Incorporating data from 65 studies and using the Restricted Maximum Likelihood (REML) method, the model evaluates fit metrics, including log-likelihood, deviance, AIC, and BIC. Key findings reveal no residual heterogeneity or moderation effects, indicating the model's robustness. Fertilizer treatments, particularly Basacote for P. elliottii and fast-release nitrogen for P. ponderosa, significantly enhance growth, achieving up to 40% and 30% increases, respectively. P. strobus benefits more from environmental interventions like tree shelters. Species-specific responses and significant heterogeneity underscore the need for tailored forest management practices. Meta-regression highlights species and fertilizer type as substantial moderators. This study advocates for customized fertilization and environmental strategies to optimize growth and sustainability in pine species, providing valuable insights for forestry management and conservation efforts.
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