Can Brazil nut plantations recover soil properties in former pasture lands?
Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
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Can Brazil nut plantations recover soil properties in former pasture lands? / Pinheiro Bastos, Rodrigo; Raulund-Rasmussen, Karsten; Stupak, Inge; Stuart, Robyn Margaret; Ferraz, João Baptista Silva.
Linking Science and Practice for a Better World: Book of absracts. red. / Giselda Durigan. 2017. s. 281 S118.02.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
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T1 - Can Brazil nut plantations recover soil properties in former pasture lands?
AU - Pinheiro Bastos, Rodrigo
AU - Raulund-Rasmussen, Karsten
AU - Stupak, Inge
AU - Stuart, Robyn Margaret
AU - Ferraz, João Baptista Silva
N1 - Conference code: 7
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Soils of livestock pastures are heavily degraded in the Amazon region compared to conditions immediately after deforestation. We hypothesized that incoming-generating Brazil nut plantations (Bertholletia excelsa) and natural succession secondary forests can recover soil properties of these lands. To test this, we sampled two 200-cm soil pits in four vegetation types: pasture (PA), Brazil-nut plantation (BN), secondary forest (SF) and primary forest (PF). Soil samples were collected at nine fixed depths to measure bulk density, pH, soil organic carbon (SOC), total nitrogen (TN) and C/N-ratio. The SOC concentration, TN and C/N-ratio did not differ significantly among vegetation types in any soil layer, even if the mean SOC concentrations of BN and SF were between those of PA and PF in the 0-5 cm layer. Bulk densities of PA (1.47 g cm-3) and PF (1.11 g cm-3) differed significantly in 0-5 cm, while those of BN (1.31 g cm-3) and SF (1.34 g cm-3) were in between and not significantly different from PA nor PF. pH differed significantly among vegetation types in the 0-5 cm layer, except BN and SF. The highest pH was found in PA (4.7), probably due alkaline ashes from initial slash-and-burn, and the lowest in PF (3.5). pH was generally higher in PA down to at least 30 cm. The results suggest that SOC and TN were robust to land use changes, while bulk density and pH were more sensitive. BN and SF showed potentials for recovery of soil properties as bulk density and pH.
AB - Soils of livestock pastures are heavily degraded in the Amazon region compared to conditions immediately after deforestation. We hypothesized that incoming-generating Brazil nut plantations (Bertholletia excelsa) and natural succession secondary forests can recover soil properties of these lands. To test this, we sampled two 200-cm soil pits in four vegetation types: pasture (PA), Brazil-nut plantation (BN), secondary forest (SF) and primary forest (PF). Soil samples were collected at nine fixed depths to measure bulk density, pH, soil organic carbon (SOC), total nitrogen (TN) and C/N-ratio. The SOC concentration, TN and C/N-ratio did not differ significantly among vegetation types in any soil layer, even if the mean SOC concentrations of BN and SF were between those of PA and PF in the 0-5 cm layer. Bulk densities of PA (1.47 g cm-3) and PF (1.11 g cm-3) differed significantly in 0-5 cm, while those of BN (1.31 g cm-3) and SF (1.34 g cm-3) were in between and not significantly different from PA nor PF. pH differed significantly among vegetation types in the 0-5 cm layer, except BN and SF. The highest pH was found in PA (4.7), probably due alkaline ashes from initial slash-and-burn, and the lowest in PF (3.5). pH was generally higher in PA down to at least 30 cm. The results suggest that SOC and TN were robust to land use changes, while bulk density and pH were more sensitive. BN and SF showed potentials for recovery of soil properties as bulk density and pH.
KW - ???Skov- og landskabshistorie???
M3 - Conference abstract in proceedings
SN - 9788594244017
SP - 281
BT - Linking Science and Practice for a Better World
A2 - Durigan, Giselda
T2 - VII World Conference on Ecological Restoration
Y2 - 28 August 2017 through 1 September 2017
ER -
ID: 184874173