Spatial variability of surface peat properties and carbon emissions in a tropical peatland oil palm monoculture during a dry season

Abstract

The expansion of oil palm monocultures into globally important Southeast Asian tropical peatlands has caused severe environmental damage. Despite much of the current focus of environmental impacts being directed at industrial scale plantations, over half of oil palm land‐use cover in Southeast Asia is from smallholder plantations. We differentiated a first generation smallholder oil palm monoculture into 8 different sampling zones, and further divided the 8 sampling zones into oil palm root influenced (Proximal) and reduced root influence (Distal) areas, to assess how peat properties regulate in situ carbon dioxide (CO2) and methane (CH4) fluxes. We found that all the physico‐chemical properties and nutrient concentrations except sulphur varied significantly among sampling zones. All physico‐chemical properties except electrical conductivity, and all nutrient content except nitrogen and potassium varied significantly between Proximal and Distal areas. Mean CO2 fluxes (ranged between 382 and 1191 mg m−2 h−1) varied significantly among sampling zones, and between Proximal and Distal areas, with notably high emissions in Dead Wood and Path zones, and consistently higher emissions in Proximal areas compared to Distal areas within almost all the zones. CH4 fluxes (ranged between −32 and 243 µg m−2 h−1) did not significantly vary between Proximal and Distal areas, however significantly varied amongst sampling zones. CH4 flux was notably high in Canal Edge and Understorey Ferns zones, and negative in Dead Wood zone. The results demonstrate the high heterogeneity of peat properties within oil palm monoculture, strengthening the need for intensive sampling to characterize a land use in the tropical peatlands.

Modelling the performance of bunds and ditch dams in the hydrological restoration of tropical peatlands

“…Lateral variability of peat properties as a result of drainage and disturbances (e.g. fire) (Dhandapani et al, 2021; Sinclair et al, 2020) is to be expected and zones of by‐passing flow (perhaps due to soil pipes) may occur in field conditions. Those factors should be evaluated in field studies and accounted for in model simulations.…”

Cadangan Penambahbaikan Pelaporan Maklumat Alam Sekitar Dalam Industri Sawit di Malaysia: Satu Pendekatan Sistem

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Expediting climate‐smart soils management

“…Soil heterogeneity also poses a serious challenge for effective curtailment efforts. High heterogeneity in soil physicochemical properties and GHG emissions within small spatial zones cause difficulties for accurately monitoring and understanding these processes, which may have to be compensated for by more intensive sampling (Dhandapani et al, 2021).…”