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. 2021 Feb 12;16(2):e0245991. doi: 10.1371/journal.pone.0245991

Table 2. Tree monitoring plots in the initial, middle, and final Jirau reservoir sections (Caiçara, Mutum and Abunã, respectively).

Location Plot Habitat Impact Flood index % change: 2015/2011
2012 2014 2015 N AGB S
Caiçara T1-P1* TF F 0 187 224 -100.00 -100.00 -100.00
Caiçara T1-P2** TF F 0 121 189 -73.28 -56.38 -69.71
Caiçara T1-P3 TF NF 0 0 0 0.26 6.99 3.93
Abunã T10-P2** TF F 0 134 98 -32.94 -4.89 -41.32
Abunã T11-P2 TF NF 0 0 0 -3.39 5.92 -1.16
Abunã T11-P4 TF NF 0 0 0 -3.70 9.01 3.17
Abunã T11-P5 TF NF 0 0 0 2.26 7.24 8.67
Caiçara T1-P4 DF NF 0 0 0 -2.44 2.05 -0.69
Caiçara T1-P5 DF NF 0 0 0 -8.18 6.61 1.39
Caiçara T4-P2* DF F 0 149 155 -97.48 -98.64 -91.60
Caiçara T4-P3* DF F 0 125 48 -100.00 -100.00 -100.00
Caiçara T4-P4 DF NF 0 0 0 -11.84 24.21 -1.22
Caiçara T4-P5 DF NF 0 0 0 -5.19 11.29 6.09
Mutum T5-P1* VF F 0 159 184 -90.77 -96.42 -89.23
Mutum T6-P1* VF F 28 152 115 -100.00 -100.00 -100.00
Mutum T7-P1* VF F 0 172 203 -97.48 -98.72 -96.58
Mutum T8-P1* VF F 7 132 204 -88.41 -89.27 -91.96
Abunã T10-P1** VF F 0 113 51 -89.11 -89.58 -78.13
Abunã T11-P1 VF NF 0 0 0 -6.35 5.93 3.53
Mutum T6-P2 CF F 0 144 129 -22.06 14.38 -36.96
Mutum T6-P3 CF F 0 134 143 -30.63 -0.85 -34.25
Mutum T8-P2 CF F 0 50 0 -16.67 7.59 -2.27
Mutum T8-P3 CF F 0 108 20 -28.26 -8.27 -29.58
Abunã T10-P3 CF F 0 60 60 -25.64 7.42 -6.82
Abunã T10-P4 CF F 0 69 0 -19.40 20.86 -2.17
Abunã T10-P5 CF F 1 83 0 -16.74 13.58 -3.41

Habitats (TF = terra firme forests, DF = transitional forests, VF = várzea forests, CF = campinarana forests). Impact: 2014 flooded (F) and non-flooded (NF) plots. Flood Index is the number of consecutive days that a plot was flooded by the waters of the Madeira River before (2012) and after the Jirau reservoir filling (2014–2015). Relative change in values recorded in 2011 and 2015 is presented for the following parameters: abundance of arboreal individuals (N), aboveground biomass (AGB) and species richness (S). Plots are sorted by habitat and plot name. Plots were classified as located within areas of forest loss (*), and on the edge of forest loss areas (**), as detected by the analysis of Global Forest Change data at a spatial resolution of 30 meters.