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Table 1 The most important environmental variables used in modeling

From: The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction

variables

Code/Unit Bioclimatic variable

Code/Unit Topographic variable

Bio1°C

Annual mean temperature

Aalt/m

Elevation

Bio2°C

Mean diurnal range (max. Temp – min. Temp)

Slope/%

Slope

Bio3°C

Isothermality (Bio2/Bio7)×100

Aspect (radian)

Aspect

Bio4°C

Temperature seasonality (SD × 100)

Solar/ kJ m-2 day-1

Solar radiation

Bio5°C

Max temperature of warmest month

Code/Unit Edaphic variable

Bio6°C

Min temperature of coldest month

Depth /cm

Depth

Bio7°C

Temperature annual range (Bio5-Bio6) Bio7 (°C)

Depth.to.bedrock /cm

Depth to bedrock

Bio8°C

Mean temperature of wettest quarter

Cation.exchange.capacity /cmol/km

Cation exchange capacity

Bio9°C

Mean temperature of driest quarter Bio9 (°C)

Bulk density kg/dm3

Topsoil Bulk density

Bio10°C

Mean temperature of warmest quarter

Soil

Soil

bio11°C

Mean temperature of coldest quarter

Clay.content /%

Clay content

Bio12mm

Annual precipitation

Silt.content %

Silt content

bio13mm

Precipitation of wettest month

Sand.content %

Sand content

Bio14mm

Precipitation of driest month

Soil.organic.carbon.content %

Topsoil organic carbon content

Bio15mm

Precipitation seasonality

Coarse.fragments / cm3/dm3

Volumetric fraction of coarse fragments

Bio16mm

Precipitation of wettest quarter

Geology

Geology

Bio17mm

Precipitation of driest quarter

Land

Land

Bio18mm

Precipitation of warmest quarter

Land use

Land use

Bio19mm

Precipitation of coldest quarter

PH.index

PH.index

  1. Note The italicized variables, were used in the two Thymus spp. modeling