scholarly journals CO2 fluxes from drained tropical peatland used for oil palm plantation in relation to peat characteristics and crop age after planting

2019 ◽  
Vol 20 (6) ◽  
Author(s):  
EVI GUSMAYANTI ◽  
GUSTI Z ANSHARI ◽  
MUHAMMAD PRAMULYA ◽  
AGUS RULIYANSYAH
Keyword(s):  
Organic Matter ◽  
Groundwater Level ◽  
Oil Palm ◽  
Particle Density ◽  
Carbon Sink ◽  
Co2 Flux ◽  
Co2 Fluxes ◽  
Oil Palm Plantation ◽  
Large Expansion ◽  
Peat Surface

Large expansion of oil palm plantation on peatland has changed its important role for carbon sink into a carbon source.  Conversion of peat swamp forest with high carbon density into a monoculture of oil palm has released the significant amount of carbon into atmosphere either carbon previously stored in forest biomass or carbon stored in peat organic matter.  Drainage canal to artificially lower groundwater level as a prerequisite of oil palm cultivation provides the favorable condition for soil microbes activities in decomposing peat organic matter resulted in CO2 flux increase.  The fluctuation of groundwater level and variation of environmental factors near the peat surface may regulate the rate of CO2 released from the soil.  We aimed to measure CO2 fluxes from two sites of oil palm plantation with different peat characteristics and analyzed the correlation with groundwater level, soil temperature, air temperature,  gravimetric water content, peat pH, oxidative reductive potential, and crop age.  The measurement has been conducted from September 2016 to April 2017 in West Kalimantan, Indonesia by using portable infrared gas analyzer EGM 4.  In addition to soil sampling at the same time as the gas measurement, we collected soil samples for some peat characteristics analysis consist of bulk density, particle density, porosity, soil organic matter, ash content, carbon, and nitrogen content prior to CO2 flux measurement.  Our result shows that the difference of peat chemical characteristics between two sites has resulted in different CO2 flux.  Oil palm ages seemed to affect CO2 flux by regulating microclimatic condition around crop canopy.  Another finding is the insignificant relationship between CO2 fluxes and groundwater level unless the groundwater level reached more than 50 cm from the peat surface.  It implies that maintaining groundwater level-up to 50 cm resulting in similar CO2 flux.

scholarly journals Microbial proportion and heterotroph CO2 flux from drainage peatland under oil palm plantation

2021 ◽  
Vol 9 (1) ◽  
pp. 3055-3061
Author(s):  
Eka Lupitasari ◽  
Rahayu Widyastuti ◽  
Heru Bagus Pulunggono
Keyword(s):  
Oil Palm ◽  
Water Movement ◽  
Soil Layer ◽  
Co2 Flux ◽  
Cellulolytic Bacteria ◽  
Microbial Decomposition ◽  
Oil Palm Plantation ◽  
Ligninolytic Fungi ◽  
The Difference ◽  
Total Bacteria

The difference in soil layer can affect heterotroph respiration that means CO2 fluxes from microbial decomposition in peatlands. Oil palm plants release root exudates transported to other places, i.e., shrub, by water movement, which can stimulate microbial activity. This study was conducted to learn the effects of differences of the soil layer and distance from the trunk in drainage peatland under oil palm plantation on total bacteria, fungi, cellulolytic bacteria, ligninolytic fungi, and heterotroph fluxes CO2, then compared to a shrub. Heterotroph respiration decreased with soil layer depth, where at the layer 0-20 cm released amount of CO2 as much 6.07 + 1.76, at 20-40 cm was 5.18 + 0.50, and at 40-60 cm 5.27 + 1.20 mg CO2 100 g-1 day-1, and tended higher than in shrub where a layer of 0-20 cm released 5.51 + 1.69, then decrease at 20-40 cm to 4.83 + 1.38, and at 40-60 cm 4.30 + 1.08 mg CO2 100 g-1 day-1. Total bacteria (107 CFU g-1) and fungi (105 CFU g-1) were higher than total cellulolytic bacteria (103 CFU g-1) and ligninolytic fungi (102 CFU g-1) in both under oil palm plantation and shrub. Organic acids affected the abundance of total bacteria and fungi but did not affect cellulolytic bacteria and ligninolytic fungi on both sites, as shown by a lower population and low cellulose and laccase enzymes. These findings showed that heterotroph CO2 flux tended higher in oil palm plantations and lignocellulolytic microbes are not the only source of heterotroph respiration.

scholarly journals A joint global carbon inversion system using both CO<sub>2</sub> and <sup>13</sup>CO<sub>2</sub> atmospheric concentration data

2017 ◽  
Vol 10 (3) ◽  
pp. 1131-1156 ◽  
Author(s):  
Jing M. Chen ◽  
Gang Mo ◽  
Feng Deng
Keyword(s):  
Spatial Distribution ◽  
Diffusion Processes ◽  
Carbon Sink ◽  
Joint Inversion ◽  
Co2 Flux ◽  
Historical Change ◽  
Co2 Fluxes ◽  
Concentration Data ◽  
Terrestrial Ecosystem Model ◽  
Discrimination Rate

Abstract. Observations of 13CO2 at 73 sites compiled in the GLOBALVIEW database are used for an additional constraint in a global atmospheric inversion of the surface CO2 flux using CO2 observations at 210 sites (62 collocated with 13CO2 sites) for the 2002–2004 period for 39 land regions and 11 ocean regions. This constraint is implemented using prior CO2 fluxes estimated with a terrestrial ecosystem model and an ocean model. These models simulate 13CO2 discrimination rates of terrestrial photosynthesis and ocean–atmosphere diffusion processes. In both models, the 13CO2 disequilibrium between fluxes to and from the atmosphere is considered due to the historical change in atmospheric 13CO2 concentration. This joint inversion system using both13CO2 and CO2 observations is effectively a double deconvolution system with consideration of the spatial variations of isotopic discrimination and disequilibrium. Compared to the CO2-only inversion, this 13CO2 constraint on the inversion considerably reduces the total land carbon sink from 3.40 ± 0.84 to 2.53 ± 0.93 Pg C year−1 but increases the total oceanic carbon sink from 1.48 ± 0.40 to 2.36 ± 0.49 Pg C year−1. This constraint also changes the spatial distribution of the carbon sink. The largest sink increase occurs in the Amazon, while the largest source increases are in southern Africa, and Asia, where CO2 data are sparse. Through a case study, in which the spatial distribution of the annual 13CO2 discrimination rate over land is ignored by treating it as a constant at the global average of −14. 1 ‰, the spatial distribution of the inverted CO2 flux over land was found to be significantly modified (up to 15 % for some regions). The uncertainties in our disequilibrium flux estimation are 8.0 and 12.7 Pg C year−1 ‰ for land and ocean, respectively. These uncertainties induced the unpredictability of 0.47 and 0.54 Pg C year−1 in the inverted CO2 fluxes for land and ocean, respectively. Our joint inversion system is therefore useful for improving the partitioning between ocean and land sinks and the spatial distribution of the inverted carbon flux.

scholarly journals Effects of Long-Term Nitrogen Fertilization and Ground Water Level Changes on Soil CO2 Fluxes from Oil Palm Plantation on Tropical Peatland

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1340
Author(s):  
Auldry Chaddy ◽  
Lulie Melling ◽  
Kiwamu Ishikura ◽  
Kah Joo Goh ◽  
Yo Toma ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Co2 Emissions ◽  
Oil Palm ◽  
N Fertilization ◽  
Root Activity ◽  
Co2 Fluxes ◽  
Soil Co2 ◽  
Tropical Peatland ◽  
Oil Palm Plantation

A long-term study on the effect of nitrogen (N) fertilization on soil carbon dioxide (CO2) fluxes in tropical peatland was conducted to (1) quantify the annual CO2 emissions from an oil palm plantation under different N application rates and (2) evaluate the temporal effects of groundwater level (GWL) and water-filled pore space (WFPS) on soil organic carbon (SOC) and CO2 fluxes. Monthly measurement of soil CO2 fluxes using a closed chamber method was carried out from January 2010 until December 2013 and from January 2016 to December 2017 in an oil palm plantation on tropical peat in Sarawak, Malaysia. Besides the control (T1, without N fertilization), there were three N treatments: low N (T2, 31.1 kg N ha−1 year−1), moderate N (T3, 62.2 kg N ha−1 year−1), and high N (T4, 124.3 kg N ha−1 year−1). The annual CO2 emissions ranged from 7.7 ± 1.2 (mean ± SE) to 16.6 ± 1.0 t C ha−1 year−1, 9.8 ± 0.5 to 14.8 ± 1.4 t C ha−1 year−1, 10.5 ± 1.8 to 16.8 ± 0.6 t C ha−1 year−1, and 10.4 ± 1.8 to 17.1 ± 3.9 t C ha−1 year−1 for T1, T2, T3, and T4, respectively. Application of N fertilizer had no significant effect on annual cumulative CO2 emissions in each year (p = 0.448), which was probably due to the formation of large quantities of inorganic N when GWL was temporarily lowered from January 2010 to June 2010 (−80.9 to −103.4 cm below the peat surface), and partly due to low soil organic matter (SOM) quality. A negative relationship between GWL and CO2 fluxes (p < 0.05) and a positive relationship between GWL and WFPS (p < 0.001) were found only when the oil palm was young (2010 and 2011) (p < 0.05), indicating that lowering of GWL increased CO2 fluxes and decreased WFPS when the oil palm was young. This was possibly due to the fact that parameters such as root activity might be more predominant than GWL in governing soil respiration in older oil palm plantations when GWL was maintained near or within the rooting zone (0–50 cm). This study highlights the importance of roots and WFPS over GWL in governing soil respiration in older oil palm plantations. A proper understanding of the interaction between the direct or indirect effect of root activity on CO2 fluxes and balancing its roles in nutrient and water management strategies is critical for sustainable use of tropical peatland.

scholarly journals A Joint Global Carbon Inversion System Using Both CO<sub>2</sub> and CO<sub>2</sub> Atmospheric Concentration Data

2016 ◽  
Author(s):  
Jing M. Chen ◽  
Gang Mo ◽  
Feng Deng
Keyword(s):  
Spatial Distribution ◽  
Diffusion Processes ◽  
Carbon Sink ◽  
Joint Inversion ◽  
Co2 Flux ◽  
Historical Change ◽  
Co2 Fluxes ◽  
Concentration Data ◽  
Terrestrial Ecosystem Model ◽  
Discrimination Rate

Abstract. Observations of 13CO2 at 73 sites compiled in the GLOBALVIEW database are used for an additional constraint in a global atmospheric inversion of the surface CO2 flux using CO2 observations at 210 sites (62 collocated with 13CO2 sites) for the 2002–2004 period for 39 land regions and 11 ocean regions. This constraint is implemented using prior CO2 fluxes estimated with a terrestrial ecosystem model and an ocean model. These models simulate 13CO2 discrimination rates of terrestrial photosynthesis and ocean-atmosphere diffusion processes. In both models, the 13CO2 disequilibrium between fluxes to and from the atmosphere is considered due to the historical change in atmospheric 13CO2 concentration. This joint inversion system using both 13CO2 and CO2 observations is effectively a double deconvolution system with consideration of the spatial variations of isotopic discrimination and disequilibrium. This 13CO2 constraint on the inversion considerably reduces the total land carbon sink from 3.40 ± 0.84 to 2.78 ± 0.76 Pg C y−1 but increases the total oceanic carbon sink from 1.48 ± 0.40 to 2.26 ± 0.35 Pg C y−1. This constraint also changes the spatial distribution of the carbon sink. The largest sink increase occurs in Amazon, while the largest source increases are in southern Africa, and Asia, where CO2 data are sparse. Through a case study, in which the spatial distribution of the annual 13CO2 discrimination rate over land is ignored by treating it as a constant at the global average of −14.1 ‰, the spatial distribution of the inverted CO2 flux over land was found to be significantly modified (up to 15 % for some regions). The uncertainties in our disequilibrium flux estimation are 11.2 PgC y−1 ‰ and 16.3 Pg C y−1 ‰ for land and ocean, respectively. These uncertainties induced uncertainties of 0.47 Pg C y−1 and 0.54 Pg C y−1 in the inverted CO2 fluxes for land and ocean, respectively. Our joint inversion system is therefore useful for improving the partitioning between ocean and land sinks and the spatial distribution of the inverted carbon flux.

scholarly journals Air–sea carbon flux from high-temporal-resolution data of in situ CO<sub>2</sub> measurements in the southern North Sea

2020 ◽  
Author(s):  
Steven Pint ◽  
Gert Everaert ◽  
Hannelore Theetaert ◽  
Michiel B. Vandegehuchte ◽  
Thanos Gkritzalis
Keyword(s):  
North Sea ◽  
Carbon Flux ◽  
Carbon Sink ◽  
Co2 Flux ◽  
Spatiotemporal Variability ◽  
High Temporal Resolution ◽  
Co2 Fluxes ◽  
Southern North Sea ◽  
Basin Scale ◽  
Carbon Dioxide Co2

Abstract. An important element to keep track of global change is the atmosphere–water exchange of carbon dioxide (CO2) in the ocean as it provides insight in how much CO2 is incorporated in the ocean (i.e. the ocean as a sink for CO2) or emitted to the atmosphere (i.e. the ocean as a source). To date, only few high-resolution observation sets are available to quantify the spatiotemporal variability of air–sea CO2 fluxes. In this study, we used observations of pCO2 collected daily at the ICOS station Thornton Buoy in the southern North Sea from February until December 2018 to calculate air–sea CO2 fluxes. Our results show a seasonal variability of the air–sea carbon flux, with the sea being a carbon sink from February until June switching to a carbon source in July and August, before switching back to a sink until December. We calculated that the sink was largest in April (−0.95 ± 0.90 mmol C m−2 d−1), while in August, the source was at its maximum (0.08 ± 0.13 mmol C m−2 d−1). On an annual basis, we found a sink for atmospheric CO2 of 130.19 ± 149.93 mmol C m−2 y−1. Apart from region- and basin-scale estimates of the air–sea CO2 flux, also local measurements are important to grasp local dynamics of the flux and its interactions with biogeochemical processes.

DIVERSITY OF MICROCHIROPTERAN BATS IN FOREST FRAGMENTS AND RIPARIAN ZONES IN AN OIL PALM PLANTATION ESTATE

SIMBIOSA ◽  
2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Fauziah Syamsi
Keyword(s):  
Oil Palm ◽  
Riparian Zones ◽  
Habitat Patch ◽  
Forest Fragments ◽  
Oil Palm Plantation

Kelapa sawit merupakan salah satu tanaman meningkat paling pesat di dunia, dan mencakup lebih dari 13 juta ha di Asia Tenggara. Sumatera memiliki sejarah yang relatif panjang budidaya kelapa sawit komersial, dan banyak perkebunan telah menggantikan hutan hujan. Biasanya ini perkebunan monokultur mendukung spesies lebih sedikit daripada hutan, namun ada sangat sedikit informasi yang tersedia untuk kelelawar. Kami mencicipi kelelawar pemakan serangga di Sumatera Barat dalam perkebunan kelapa sawit matang di mana beberapa tutupan hutan dipertahankan di fragmen hutan di bukit-bukit dan di sepanjang sungai. Menggunakan total 180 kecapi perangkap malam kami dibandingkan dengan komunitas kelelawar dalam tiga jenis habitat: patch hutan, zona riparian dan perkebunan. Total kami ditangkap 1108 kelelawar yang mewakili 21 spesies dan 5 keluarga, dan mayoritas ini (dalam hal spesies dan kelimpahan) ditemukan di fragmen hutan. perkebunan kelapa sawit ditemukan menjadi habitat miskin untuk kelelawar - hanya empat orang dari dua spesies ditangkap. daerah pinggiran sungai didukung keanekaragaman menengah, dan mungkin penting sebagai koridor satwa liar antara fragmen hutan. Kata kunci : Biodiversitas, keleawar Microchiropteran

HEALTHINESS OF OIL PALM PLANTATION TOWARDS SUSTAINABILITY OF ENVIRONMENT

2020 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
Faradina Marzukhi ◽  
Nur Nadhirah Rusyda Rosnan ◽  
Md Azlin Md Said
Keyword(s):  
Oil Palm ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Soil Nutrient ◽  
Oil Palm Plantation ◽  
Sustainable Environment ◽  
Moisture Analysis ◽  
The Relationship

The aim of this study is to analyse the relationship between vegetation indices of Normalized Difference Vegetation Index (NDVI) and soil nutrient of oil palm plantation at Felcra Nasaruddin Bota in Perak for future sustainable environment. The satellite image was used and processed in the research. By Using NDVI, the vegetation index was obtained which varies from -1 to +1. Then, the soil sample and soil moisture analysis were carried in order to identify the nutrient values of Nitrogen (N), Phosphorus (P) and Potassium (K). A total of seven soil samples were acquired within the oil palm plantation area. A regression model was then made between physical condition of the oil palms and soil nutrients for determining the strength of the relationship. It is hoped that the risk map of oil palm healthiness can be produced for various applications which are related to agricultural plantation.

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