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Data used in the article "Climate is stronger than you think: Exploring functional planting and TRIAD zoning for increased forest resilience to extreme disturbances"

dataset
posted on 2025-06-13, 15:34 authored by Clément HardyClément Hardy, Christian Messier, Yan Boulanger, Dominic Cyr, Elise Filotas

The dataset is separated into 3 sections :


- The first section contains the data used to calibrate certain parameters of LANDIS-II : in particular, the data necessary to calibrate the Base Fire extension in our study area with climate change.

- Users can find the files to launch the calibration scenario for the parameters of Base Fire, and a table file describing the process of empirical determination of those parameters via repeated calibration simulations (Empirical determination of the fire parameters_CC_v2.ods)

- The second section contains all of the scenarios folders with all of the parameters files to launch all of the simulations made for the study. Users can upload those files on the clusters of the Digital Research Alliance of Canada to replicate our results if needed, using the job_script_python_robot_v2.sh script to launch a job on the cluster. The job will use the Python_watcher_bot.py script, which will monitor if simulations are running as needed.

- A WARNING : Your results will be very slightly different as the files that we have re-generated for this figshare repository have different pseudorandom seed values for each replicate. The differences shouldn't be noticable.

- The third section contains all of the files resulting from the simulation and of the analysis of the simulation outputs, along with the files necessary to produce the figures of the article .


The origin of the data is described in the supplementary material of the article, and in our previous study (Hardy C, Messier C, Boulanger Y, Cyr D, Filotas É. Land sparing and sharing patterns in forestry: exploring even-aged and uneven-aged management at the landscape scale. Landsc Ecol. 2023 Nov 1;38(11):2815–38.).

Funding

Natural Sciences and Engineering Research Council of Canada, Award: RDCPJ: 498998-16

Natural Sciences and Engineering Research Council of Canada, Award: RGPIN: 2018-06156

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