Dataset for mapping the supply of nature's contributions to people on Mount Kilimanjaro

This repository contains the data and R scripts used to upscale and analyse Nature’s Contributions to People (NCP) on the southern slopes of Mt. Kilimanjaro. The archive accompanies the manuscript on spatial patterns, synergies, trade-offs, and hotspots/coldspots of NCP supply across 12 ecosystem types.

Folder structure

• data_for_upscaling_ncp_supply/-Contains the core inputs for the upscaling workflow, including plot-level CSV files, shapefiles, raster predictor layers, and supporting “non NCP” scripts used to prepare environmental and ancillary data. (No separate README in this folder; file names reflect content.)
• Individual NCP folders (or NCP categories)

  • intergenerational_benefits_ncp

  • material_ncp_6_categories

  • regulating_ncp_10_categories

  • non_material_8_categories

    Each of these contains indicator-specific scripts and outputs for the respective NCP categories. Subfolders include their own README files describing the indicators, modelling steps, and outputs.

• ncp_aggregation - Raster outputs with NCP supply aggregated to main NCP groups (material, regulating, non-material), including total NCP supply layers used for elevation-band summaries and hotspot identification.

• sensitivity_overview_by_indicator.csv - Summary table of the perturbation-based sensitivity analysis for 10 regulating NCP indicators, reporting how ±10% multiplicative perturbations in predictors affect model performance, prediction correlations, and trend directionality.

• hotspot_coldspot_and_synergies_tradeoffs - R scripts for the hotspot/coldspot analysis (Getis-Ord Gi*) and for quantifying synergies and trade-offs among NCP groups.