Observational constraints of fire, environmental and anthropogenic on pantropical tree cover - Data

Data used for analysis in "Explainable Clustering Applied to the Definition of Terrestrial Biome" - using Decision Tree and Clustering techniques to identify biomes. Land surface properties: <strong>TreeCover </strong>- Vegetation Continuous Fields (VCF) collection 6 fractional tree cover from ¹, regridded as per ². <strong>urban </strong>cover from the History Database of the Global Environment, Version 3.1 (HYDE) ^3,4 <strong>crop </strong>cover (from HYDE) <strong>pas - Pasture </strong>Cover (from HYDE)<strong>PopDen </strong>(population density from HYDE) <strong>BurntArea_xxxxx </strong>- Burnt area with xxxx denoting different products, provided by fireMIP ^5–7: GFED_four: Global Fire Emissions Database, Version 4 (GFED4) ⁸ GFED_four_s: Global Fire Emissions Database, Version 4.1, including small fires (GFEDv4.1) ⁹ MCD_forty_five: MCD45 ¹⁰ Meris: Fire_CCI4.0 ¹¹ MODIS: Fire_CCI5.1 ¹² Climate: <strong>MAP_xxx </strong>- Mean annual precipitation where xxx denotes data source: <strong>CMORPH </strong>^13,14 <strong>CRU </strong>from version 4.03 of the Climatic Research Unit Time Series high-resolution gridded dataset (CRU TS v4.01) ¹⁵ <strong>GPCC: </strong>¹⁶ <strong>MSWEP: </strong>¹⁷ <strong>MAT </strong>- Mean annual temperature from CRU) <strong>MConc_xxx </strong>– Mean annual concentration of rainfall as defined by ¹⁸, where xxx denotes precip data source (see “MAP_xxx”) <strong>MADD_xxx</strong>- Mean annual fractional dry days from CRU - i.e. seasonality of rainfall), where xxx denotes precip data source (see “MAP_xxx”) <strong>MDDM_xxx </strong>– Mean fractional dry days of the driest month. <strong>MADM_xxx – </strong>Mean annual precipitation of the driest month<strong>.</strong> <strong>MTWM </strong>- Mean Maximum Temperature of the warmest month from CRU <strong>MTCM </strong>- Mean minimum temperature of the coldest month from CRU <strong>SW1 </strong>- direct downwards SW simulated using the SLASH model using CRU cloud cover <strong>SW2 </strong>- diffuse downwards SW simulated using the SLASH model using CRU cloud cover <strong>MaxWind </strong>(Mean Max Windspeed from CRU-(National Centers for Environmental Prediction ¹⁵ ‘output_summary’ contains framework output. There are several directories for different experiments, each containing a netcdf file. Along with standard latitude and longitude,each file contains ‘model_level_number’ dimension, with each layer representing the 1, 5, 10, 25, 50, 75, 90, 95 and 99% quantiles of the model posterior. The folder represents the experiment: Control – standard full model reconstruction noHumans – without human influence (from crop, pasture, population density or urban influence) noMortality – without disturbance stress (burnt area, wind, heat stress, rainfall seasonality noMAP – without mean annual precip influence. noNoneMAT – without mean annual temperature influence. noFire – tree cover without the influence of fire noDrought – without the influence of rainfall distribution noTasMort – without mortality from heat stress noWind – without influence from max. windspeed noPas – without exclusion from pasture noCrop – without exclusion from crop noPop – without reduction from population density noUrban – without exclusion from urban firePlus1pc – tree cover with burnt area was 1% higher. <strong>References</strong> 1. Dimiceli, C. &amp; Others. MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006 (NASA EOSDIS Land Processes DAAC, 2015). 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