Table 1 Variables used in the study and their sources and descriptions.

From: Suitability prediction of potential arable land in southeast coastal area of China

Variable type

Variable code

Description

Data source

Bioclimatic

BIO1

Annual mean temperature (°C)

WorldClim

https://worldclim.org/

BIO2

Mean diurnal range (mean of monthly (max temp − min temp)) (°C)

BIO3

Isothermality (BIO2/BIO7) (× 100) (°C)

BIO4

Temperature seasonality (standard deviation × 100)

BIO5

Max temperature of warmest month (°C)

BIO6

Min temperature of coldest month (°C)

BIO7

Temperature annual range (BIO5-BIO6) (°C)

BIO8

Mean temperature of wettest quarter (°C)

BIO9

Mean temperature of driest quarter (°C)

BIO10

Mean temperature of warmest quarter (°C)

BIO11

Mean temperature of coldest quarter (°C)

BIO12

Annual precipitation (mm)

BIO13

Precipitation of wettest month (mm)

BIO14

Precipitation of driest month (mm)

BIO15

Precipitation seasonality (coefficient of variation) (mm)

BIO16

Precipitation of wettest quarter (mm)

BIO17

Precipitation of driest quarter (mm)

BIO18

Precipitation of warmest quarter (mm)

BIO19

Precipitation of coldest quarter (mm)

Topographic

Ele

Elevation (m)

Geospatial data cloud platform

https://www.gscloud.cn/#page1/1

Slope

Slope (°)

Aspect

Aspect (°)

Water

Dist-water

Euclidean distance to class 5 drainage (m)

2008

https://www.hydrosheds.org/

Soil

Gravel

Percentage of crushed stone by volume (%)

China’s second national soil survey

https://data.tpdc.ac.cn/home

Sand

Sand content (%)

Clay

Clay content (%)

Silt

Silt content (%)

OC

Organic carbon content (%)

CEC

Soil cation exchange capacity (me/hg)

ESP

Exchangeable sodium salt (me/gh)

pH

pH

Caco3

Carbonate or lime content (%)