Data for simulating near-term climate change impacts on Kenyan tree cover using LRange

Data associated with our paper “Near-term climate change impacts on Kenyan tree cover” are archived here. In this work, using L-Range – an ecosystem model – and the most recent downscaled climate projections we explored the durability and wider impacts of ongoing afforestation efforts across Kenya. These data represent input layers for the ecosystem model L-Range which is a localized version of the global rangelands model GRange. LRange retains GRange’s model architecture. However, within L-Range inference is constrained to the spatial extent of Kenya by creating requisite input spatial layers that most accurately represent land use, land cover, soil, and vegetation conditions extant across the nation. Using this model we explored how existing and planned tree cover across Kenya would respond under multiple future climate scenarios. Our simulations indicate that, under all scenarios, tree cover across Kenya will remain stable or show increasing trends in the near term. This will be acco..., , # Data for simulating near-term climate change impacts on Kenyan tree cover using LRange

Dataset DOI: [10.5061/dryad.sj3tx96j0](https://doi.org/10.5061/dryad.sj3tx96j0)

## Description of the data and file structure

### **Overview**

Near-term changes in Kenyan tree cover and broader ecosystem impacts were explored by conducting simulations using L-Range, an ecosystem model. At monthly time steps L-Range simulates plant regeneration, primary production, decomposition, competitive interactions between herbaceous and woody vegetation, as well as the cycling of nitrogen and carbon, and flow of water through ecosystems. The goal was to understand how climate change and fire can influence afforestation outcomes across Kenya in the year 2050 assuming that the Kenyan government achieves 10% tree cover extent by 2030 (baseline conditions). 

Extant conditions across Kenya are represented using gridded datasets representing soil texture, distribution of vegetation classes (herbs, shrubs, and t..., , ,