Climate change and its variability are some of the most critical threats to sustainable agriculture, with potentially severe consequences on Indonesia’s agriculture, such as changes in rainfall patterns, especially the onset of the wet season and the temporal distribution of rainfall. Most Indonesian farmers receive support from agricultural extension services, and therefore, design their agricultural calendar based on personal experience without considering global climate phenomena, such as La Niña and El Niño, which difficult to interpret on a local scale. This paper describes the Integrated Cropping Calendar Information System (ICCIS) as a mechanism for adapting to climate variability. The ICCIS contains recommendations on planting time, cropping pattern, planting area, varieties, fertilizers, agricultural machinery, potential livestock feed, and crop damage due to climate extremes for rice, maize, and soybean. To accelerate the dissemination of information, the ICCIS is presented in an integrated web-based information system. The ICCIS is disseminated to extension workers and farmers by Task Force of the Assessment Institute for Agricultural Technology (AIAT) located in each province. Based on the survey results, it is known that the ICCIS adoption rate is moderate to high. The AIAT must actively encourage and support the ICCIS Task Force team in each province. Concerning the technological recommendations, it is necessary to update the recommendations for varieties, fertilizer, and feed to be more compatible with local conditions. More accurate information and more intensive dissemination can enrich farmers’ knowledge, allowing for a better understanding of climate hazards and maintaining agricultural production.
This study examines the impact of firm reputation and CEO experience to company performance after merger and acquisition. The sample of this research are companies listing on the Indonesia Stock Exchange and register their M&A action to the Indonesian Commission for the Supervision of Business Competition. The time frame for selecting data is from 2014 to 2019. The research data are tested and analyzed with multiple linear regression methods on SPSS Software by using 110 sample data. The results of the data test prove that the acquisition experience in the same industry and the measurement of the company's capitalization reputation have a significant positive impact on company performance. Following the concept of knowledge transfer theory and organizational theory, acquisition in same industry will increasing company value and performance in competing with other competitors with more focused and can create cost saving. These will have an effect on company performance by get a good response in public and achieve a competitive advantage. Novelty of this research provides a new insight for firm reputation measurement that are still relevant to be used for measure firm reputation.
<p>Droughts and floods due to extreme climate events has caused yield loss in various regions of Indonesia, including the Provinces of Aceh and North Sumatra. An early detection model needs to be developed to anticipate the negative impacts of extreme climate event. The model may describe the association of surplus and rainfall deficits with paddy damage due to drought and flood. We used Standardized Precipitation Index (SPI) to explore drought and flood characteristics in period 1989-2016. The study aimed: (i) to analyze the relationship between SPI and paddy damage due to drought and flood events, (ii) to analyze the critical value of the duration and intensity of SPI which causes paddy damage, and (iii) to determine which districts were prone to drought and flood in the Provinces of Aceh and North Sumatra. The results concluded that SPI-3 and -6 months can better describe the frequency of drought and rice flooding. In addition, drought on paddy occured mostly if the SPI was smaller than -1 which took place within 4-5 months, whereas flood occured if the SPI was greater than 1. Short duration drought (2-3 months) were observed in five districts in Aceh (2) and North Sumatra (3). On other hand, more flood districts were identified (9 districts).</p>
Carbon dioxide emission on peatland under oil palm plantation were highly varied probably due to many factors involved. The objectives of the research were to evaluate the effect of distance sampling from center of oil palm tree on Carbon dioxide flux, and to study the factors that cause variability of carbon dioxide flux on peatland under oil palm plantation. The study was conducted on peatland at Arang-Arang Village, Kumpek Ulu Sub-District, Muaro Jambi District, Jambi Province, on six year old oil palm plantation. The study was conducted in the form of observational exploratory. Emission measurements performed on 5 selected oil palm trees at points within 100, 150, 200, 250, 300, 350, and 400 cm from the center of trunk. Carbon dioxide flux was measured using (IRGA), Li-COR 820. The results showed that there is significant correlation between the distance of sampling from center of oil palm tree and Carbon dioxide flux. The farther distance from the tree, Carbon dioxide flux more decreased. Before applying fertilizer, variability of soil fertility was not significantly correlated with the flux of Carbon dioxide, so the difference of Carbon dioxide flux based on distance sampling can be caused by root distribution factor. After fertilizer application, variability of Carbon dioxide flux under the oil palm tree were beside affected by differences in root distribution, was also greatly influenced by fertilization.Keywords: Carbon dioxide flux, distance sampling, oil palm, peat, root-related respiration [How to Cite: Dariah A, F Agus, E Susanti and Jubaedah. 2013.Relationship between Sampling Distance and Carbon Dioxide Emission under Oil Palm Plantation. J Trop Soils 18 (2): 125-130. Doi: 10.5400/jts.2013.18.2.125][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.2.125] REFERENCESAgus F, E Handayani, van M Noordwijk, K Idris and S Sabiham. 2010 Root respiration interferes with peat CO2 emission measurement. 19th World Congress of Soil Science, Soil Solutions for a Changing World. 1 - 6 August 2010, Brisbane, Australia. Published on DVD.Amador JA and RD Jones. 1993. Nutrient limitation on microbial respiration in peat soil with diffrent total phosphorus content. Soil Biol Biochem 25: 793-801.Franklin O, P Hoogberg, A Ekbled and GI Agren. 2003. Pine forest floor carbon accumulation in response to N and PK addition: Bomb C-14 modeling and respiration studies. Ecosystem 6: 644-658. Freeman C, N Ostle and H Kang. 2001. An Enzymic ‘latch’ on global carbon store-a shortage of oxigen locks up carbon in peatlands by restraining a single enzyme. Nature 409: 149-149.Hanson PJ, NT Edwards, CT Garten and JA Andrew. 2000. Separating root and soil microbial contributions to soil respiration: A review of methods and observations. Biogeochemistry 48: 115-146.Henson IE, and SH Chai. 1997. Analysis of oil palm productivity. II. Biomass, distribution, productivity and turnover of the root system. Elaeis 9: 78-92.Hergoualc’h K and LV Verchot. 2011. Stocks and fluxes of carbon associated with land use change in Southeast Asian tropical peatlands: A review. Glob Biogeochem Cycl 25. doi:10.1029/2009GB003718.Howarth RW and SG Fisher. 1976. Carbon, nitrogen, phosporus dynamic during leaf decay in nutrient-enriched stream microecosystems. Freshwater Biol 6: 221-228.Husen E and F Agus. 2011. Microbial activities as affected by peat dryness ans ameliorant. Am J Environ Sci 7: 348-353.Jauhiainen J, A Hooijer and SE Page. 2012. Carbon dioxide emissions from an Acacia plantation on peatland in Sumatra, Indonesia. Biogeosciences 9: 617–630. DOI:10.5194/bg-9-617-2012.Khalid H, ZZ Zin and JM Anderson. 1999. Quantification of oil palm biomass and nutrient value in mature planttation. II Below-ground biomass. J Oil Palm Res 11: 63-71.Knorr KH, MR Oosterwoud and C Blodau. 2008. Experimental drought alters rates of soil respiration and methanogenesis but not carbon exchange in soil of a temperate fen. Soil Biol Biochem 40: 1781-1791.Law BE, FM Kelliher, DD Baldocchi, PM Anthoni, J. Irvine, D. Moore and SV Tuyl. 2001. Spatial and temporal variation in respiration in a young ponderosa pine forest during a summer drought. Agric Forest Meteorol 110: 27-43.Laiho R, J Laine, CC Trettin and L Finner. 2004. Scot pine litter decomposition along drainage succession and soil nutrient gradient in peat land forest, and the effect of inter-annual weather variation. Soil Biol Biochem 36: 1095-1109.Madsen R, L Xu, B Claassen and D McDermit. 2009. Surface monitoring method for carbon capture and storage projects. Energy Procedia 1: 2161-2168Martoyo K. 1992. Kajian Sifat Fisik Tanah Podsolik untuk Tanaman Kelapa Sawit (Elaeis gueneensis Jacq) di Sumatera Utara. Tesis Program Pasca Sarjana, Universitas Gajah Mada. Yogyakarta (in Indonesian).Melling L, R Hatano and KJ Goh. 2007. Nitrous oxide emissions from three ecosystem in tropical peatlands of Sarawak, Malaysia. Soil Sci Plant Nutr 53: 792-805.Minkkinen K, J Laine, NJ Shurpali, P Makiranta, J Alm and T Pentilla. 2007. Heterotropic soil respiration in forestry-drained peatland. Boreal Environ Res 12: 115-126. Murdiyarso D, K Hergoualc’h K and LV Verchot. 2010 Opportunities for reducing greenhouse gas emissions in tropical peatlands. PNAS 107: 19655-19660.Olsen R, S Linden, R Giesler, and P Hogberg. 2005. Fertilization of boreal forest reduce of both autrotrophic dan heterotrophic soil respiration . Glob Change Biol 11: 1745-1753.Silvola J, J Valijoki and H Aaltonen. 1985. Effect of draining and fertilization on soil respiration at three ameliorated peatland site. Acta For Fem 191: 1-32.Silvola J, J Alm, U Aklholm, H Nykanen and PJ Martikainen. 1996a. Carbon dioxide fluxes from peat in boreal mires under varying temperature and moisture condition. J Ecol 84: 219-228.Silvola J, J Alm, U. Ahlholm, H Nykanen, and PJ Martikainen. 1996b. The contribution of plant roots to carbon dioxide fluxes from organic soils. Biol Fertil Soils 23: 126-131.Wang W, K Ohseb and J Liuc. 2005. Contribution of root respiration to soil respiration in a C3/C4 mixed grassland. J Bioscience 30: 507-514.
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