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Table 3 Variability of predictions with forest types

From: Quantifying micro-environmental variation in tropical rainforest understory at landscape scale by combining airborne LiDAR scanning and a sensor network

 

High forest

Low forest

Liana forest

Flooded forest

LPI (%)

5.7 ± 1.1

11.8 ± 7.6

9.0 ± 5.0

6.9 ± 2.9

Daily radiant energy (Wh m−2)

15.6 ± 2.1

27.3 ± 14.7

21.8 ± 9.6

17.9 ± 5.7

Daily maximal temperature (°C)

26.5 ± 0.2

27.7 ± 1.5

27.2 ± 1.0

26.8 ± 0.6

Daily minimal relative humidity (%)

98.3 ± 1.0

93.0 ± 6.7

95.5 ± 4.5

97.3 ± 2.6

Daily average relative humidity (%)

100 ± 0.1

99.5 ± 0.6

99.7 ± 0.4

99.9 ± 0.2

  1. Modelled values of mLPI, daily radiant energy, maximal temperature and minimal and mean relative humidity averaged over the year were extracted at 50 positions randomly chosen within the different forest types (mean ± SD)
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Annals of Forest Science

ISSN: 1297-966X