Input data set: Wood harvesting



Protocol relation: Protocol
Data Type: Other human influences
Simulation rounds: ISIMIP3a
Description:

Historical annual country-level wood harvesting data, covering the period 1850-2017.

Scenarios: histsoc
Variables:
Specifications

Interpolated to a 0.5° grid using first-order conservative remapping and calculated over a fractional country mask (https://gitlab.pik-potsdam.de/isipedia/countrymasks/-/blob/master/) derived from ASAP-GAUL (https://data.europa.eu/euodp/data/dataset/jrc-10112-10004).

- Variables:
wood harvest area from primary forest land (primf-harv)
wood harvest area from primary non forest land (primn-harv)
wood harvest area from secondary mature forest land (secmf-harv)
wood harvest area from secondary young forest land (secyf-harv)
wood harvest area from secondary non forest land (secnf-harv)
wood harvest biomass carbon from primary forest land (primf-bioh)
wood harvest biomass carbon from primary non forest land (primn-bioh)
wood harvest biomass carbon from secondary mature forest land (secmf-bioh)
wood harvest biomass carbon from secondary young forest land (secyf-bioh)
wood harvest biomass carbon from secondary non forest land (secnf-bioh)

- Data creation process:
1. Extract a file per variable for wood harvesting variables 'primf_harv', 'primn_harv', 'secmf_harv', 'secyf_harv', 'secnf_harv', 'primf_bioh', 'primn_bioh', 'secmf_bioh', 'secyf_bioh' and 'secnf_bioh' in time range 1850-2017 from transitions.nc (see https://luh.umd.edu/data.shtml)
2. Remap to ISIMIP 0.5° grid using first-order conservative remapping
3. Set reference year, missing_value and _FillValue according to ISIMIP3a protocol
4. Extract individual country masks from fractional country mask (see details above)
5. Calculate variable total per country (cdo mul & cdo fldsum) and set variable attributes long_name and stardard_name associated to the country, following country codes from the country mask file
6. Merge all countries in a file per wood harvesting variable and modify global attributes: title, contact, institution.

Data source

Based on the LUH2 v2h Harmonization Data Set (see Hurtt, Chini et al. 2011; see also https://luh.umd.edu).

Hurtt, G. C., Chini L.P., Sahajpal R. et al. (2020). Harmonization of Global Land-Use Change and Management for the Period 850-2100 (LUH2) for CMIP6. Geoscientifc Model Development Discussions. https://doi.org/10.5194/gmd-2019-360

Hurtt, G. C., Chini L.P., Sahajpal R. et al. (2019). Harmonization of Global Land Use Change and Management for the Period 850-2015. Version 20190529. Earth System Grid Federation. https://doi.org/10.22033/ESGF/input4MIPs.10454

Hurtt, G.C., Chini, L.P., Frolking, S. et al. (2011) Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Climatic Change 109, 117. https://doi.org/10.1007/s10584-011-0153-2

Download Instructions

For ISIMIP participants, these files will be made available for download on the DKRZ server using the path /ISIMIP/ISIMIP3a/InputData/socioeconomic/wood_harvesting/.

For external users, these data will be made available on the ISIMIP ESGF server (https://esg.pik-potsdam.de/projects/isimip/). These data will be available via an rsync facility (described here: https://www.isimip.org/gettingstarted/data-access/#for-external-non-participant-users), for which the password will be provided upon request (isimip-data@pik-potsdam.de).