The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15097500

Halima Usman; Thomas Pugh; Anders Ahlström; Sofia Baig (2021): Simulations underlying the analysis in the publication: Climate Change Projections of Terrestrial Primary Productivity over the Hindu Kush Himalayan Forests. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15097500.v1

Dataset

• Other Environmental Sciences

Carbon flux, carbon pool, Primary productivity

1851-2100

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Halima Usman , Thomas Pugh , Anders Ahlström , Sofia Baig

Outputs from the LPJ-GUESS dynamic global vegetation model (Ahlström et al., 2012) are provided for three historical-future simulations for the period 1851-2100, forced by bias-corrected climate from the CCSM4, MPI-ESM-LR and IPSL-CM5A-MR Earth system models (ESM). Two future climate scenarios are considered, RCP 2.6 and RCP 8.5. Simulations with potential natural vegetation everywhere (PNV, only for RCP 8.5) and with consideration of agricultural land use (LU), including transient changes were conducted. All simulations are at 0.5 x 0.5 degree spatial resolution. For information on the simulation protocol, please refer to Ahlström et al. (2012).

• 2021-08-16 first online, published, posted

4TU.ResearchData

Raster Format

Lund University, Sweden
University of Birmingham, UK
National University of Sciences and Technology, Pakistan