2026-10-14T19:05:18Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32051055 2026-10-08T12:53:24Z category_25939 item_type_3 month_year_10_2026

Declining but spatially redistributed global fire nitrogen emissions regulated by vegetation-climate interactive mechanisms Yuan Jiang (23752413) Wei Song (30780) Xue-Yan Liu (2021578) Earth system sciences Fire emission <p dir="ltr">This R script implements a four-parameter multiplicative uncertainty framework for estimating gridded inorganic nitrogen (N) emissions from open biomass burning, combining emission factors (EFs), combustion factors (CFs), satellite-derived burned area (BA), and aboveground biomass (AGB/fuel load). Uncertainty is quantified through two complementary approaches: first-order error propagation for analytical per-pixel uncertainty and parameter contribution breakdown, and Monte Carlo simulation with Latin Hypercube Sampling (LHS) featuring region-specific EF sampling, block-LHS spatial correlation structure, and freeze-one contribution decomposition. The framework covers seven biomes (boreal, temperate, and tropical forest; grassland; shrubland; savanna; cropland), seven N species (NH3, NO, NO2, HNO2, HNO3, NH4+, NO3-), and continental aggregation across six continents.</p><p dir="ltr">A complementary machine learning (ML) module predicts emissions from multi-source environmental drivers using three models: LightGBM, XGBoost, and Elastic Net, evaluated via dual cross-validation (random stratified and spatial block) with grid search hyperparameter tuning. Emissions are detrended pixel-wise (Theil-Sen) prior to training and the trend surface is restored to preserve physical non-negativity and long-term trends. Interpretability is provided through SHAP values, partial dependence plots, and standardized coefficients, with performance assessed via R², RMSE, MAE, NSE, KGE, and bias on a 2017–2020 held-out test set. Moran’s I diagnosis quantifies spatial autocorrelation to justify spatial block CV.</p> 2026-04-27T15:12:52Z Dataset Dataset 10.6084/m9.figshare.32051055.v7 https://figshare.com/articles/dataset/Productivity_drives_global_biomass_burning_nitrogen_emissions/32051055 CC BY 4.0