“Methods for Quantifying Belowground Biomass in the Tropical Andes: A Systematic Review”

Description

This dataset contains the literature-derived database and R code supporting the systematic review of methods used to quantify belowground biomass stock and productivity across tropical Andean ecosystems. The repository includes the original data-extraction database, the analysis-ready dataset used for statistical analyses, R scripts for data processing and generalized linear models, and derived statistical tables supporting the figures presented in the manuscript.

Steps to reproduce

Data were compiled through a systematic literature review of studies indexed in Scopus and Web of Science and published between 2000 and 2024. Eligible studies assessed belowground biomass (BGB) stock and/or root productivity in tropical Andean ecosystems. For each study, bibliographic, geographic, ecological, and methodological information was extracted, including ecosystem, elevation, quantification method, root fraction, sampling depth and area, and reported BGB stock or productivity values. Stock and productivity estimates were standardized to Mg ha⁻¹ and Mg ha⁻¹ yr⁻¹, respectively. For statistical analyses, montane and pre-montane forests were grouped as forest, whereas páramo, moist puna, and xeric puna were grouped as grassland. Data cleaning, statistical analyses, and figure generation were performed in R. Gamma generalized linear models with a log link were used for selected analyses, with robust standard errors clustered by study ID. Candidate models were compared using AICc, ΔAICc, and AICc weights.

Institutions

• National University Toribio Rodríguez de Mendoza

  Amazonas, Chachapoyas

Categories

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