Table 1 Mean and range of forest AGB and AGB covariates.

From: Spatial validation reveals poor predictive performance of large-scale ecological mapping models

Code

Description

Mean (range)

1. AGB

Aboveground biomass (Mg ha−1)

296 (49–678)

2. T_am

Annual mean temperature (°C)

24.3 (22.1–26.5)

2. Prec_am

Annual mean precipitation (mm)

1713.6 (1125.9–2864.5)

2. CC_am

Annual mean cloud cover frequency (%*100)

7806.5 (6246.4–9758.3)

2. Vapor_m

Annual mean water vapor pressure (kPa)

2.5 (2.2–2.9)

2. SolRad_m

Annual mean solar radiation (kJ m−2 day−1)

14,705.8 (11,500–18,236.2)

2. WA

Water availability (unitless)

1 (0.8–2)

3. T_seaso

Temperature seasonality (standard deviation*100) (°C)

78.7 (40.7–185.9)

3. Prec_seaso

Precipitation seasonality (coefficient of variation) (mm)

51.8 (22.4–83)

3. Vapor_sd

Standard deviation of monthly water vapor pressure (kPa)

0.1 (0–0.3)

3. SolRad_sd

Standard deviation of monthly solar radiation (kJ m−2 day−1)

1410 (546.7–2251.2)

4. T_mdq

Mean temperature of the driest quarter (°C)

23.6 (20.3–26.2)

4. T_mwarmq

Mean temperature of the warmest quarter (°C)

25.2 (23.2–27.5)

4. Prec_dm

Precipitation of the driest month (mm)

31.2 (0–105.6)

4. DS_long_length

Long dry season length (number of months)

4.4 (2–6)

4. DS_cumu_length

Dry season(s) length (number of months)

5 (2–8)

4. DS_long_sever

Long dry season severity (mm)

316.8 (49.1–602.6)

4. DS_cumu_sever

Dry season(s) severity (mm)

332.6 (49.1–602.6)

4. CWD

Maximal climate water deficit (mm)

−172.7 (−558.8–0)

4. Vapor_DS_m

Mean monthly water vapor pressure during the longest dry season (kPa)

2.4 (2–3)

4. Vapor_DS_max

Max. monthly water vapor pressure during the longest dry season (kPa)

2.5 (2.2–3)

4. SolRad_DS_m

Mean monthly solar radiation during the longest dry season (kJ m−2 day−1)

14613.2 (8971.9–19218.7)

4. SolRad_DS_max

Max. monthly solar radiation during the longest dry season (kJ m−2 day−1)

15519.6 (9572.9–20211.4)

5. Elev

Elevation (m)

532.6 (102–935.4)

5. Slope

Slope (°)

9.3 (1–43.2)

5. HAND

Height above the nearest drainage (m)

35.4 (0–449.9)

5. Convexity

Convexity (unitless)

39.9 (9.8–53.6)

6. Soil_types

Soil types (unitless)

7. R_mean

RED (mean - unitless)

0.048 (0.000–0.254)

7. NIR_mean

NIR (mean - unitless)

0.444 (0.291–0.567)

7. G_mean

Green (mean - unitless)

0.067 (0.000–0.158)

7. SWIR1_mean

SWIR 1 (mean - unitless)

0.44 (0.288–0.534)

7. SWIR2_mean

SWIR 2 (mean - unitless)

0.234 (0.156–0.306)

7. SWIR3_mean

SWIR 3 (mean - unitless)

0.086 (0.000–0.196)

7. SWIR3_sd

SWIR 3 (sd - unitless)

0.03 (0.004–1.14)

7. EVI2

EVI2 (unitless)

0.635 (0.238–0.857)

7. NDII

NDII (unitless)

0.676 (0.308–1.032)

  1. Variables are split into seven categories, namely, the dependent variable (1) and covariates representing mean climate conditions (2), climate seasonality (3), extreme climate conditions (4), topography (5), soil types (6), and MODIS reflectance (7).
  2. Topographic variables were computed using 30-m STRM data over 1-km2 pixels.