PEDOTRANSFER FUNCTIONS FOR DIGITAL SOIL MAPPING IN TROPICAL REGION: A CASE STUDY OF DIGITAL SOIL MAPPING OF SOIL CARBON AND NITROGEN IN WEST JAVA, INDONESIA

Setyono Hari Adi

Abstract


Pedotransfer functions (PTFs) for the tropical region were developed to model topsoil total carbon and nitrogen variations, by using input parameters of Digital Elevation Model—DEM, Normalized Difference Vegetation Index—NDVI and bioclimatic variables. Puerto Rico dataset was used to develop the model, while West Java, Indonesia was chosen for the model application. Using 22 input parameters derived from the three soil forming factors (relief, vegetation, and climate), the PTF could explain 71% and 66% of the soil total carbon and nitrogen variations, while comparable results were obtained from reduced input parameters (RMSE 3.12% and 0.05% for topsoil total carbon and nitrogen, respectively). This result suggests that application of PTFs to model soil properties variation, especially in the tropical region, could be used to generate reliable pre-assessment information to support decision making in the land productivity improvement plan.

Keywords


Pedotransfer function; Digital soil mapping; Soil carbon; Pedometrics

Full Text:

References


Austin, Amy T., Laura Yahdjian, John M. Stark, Jayne Belnap, Amilcare Porporato, Urszula Norton, Damián a. Ravetta, and Sean M. Schaeffer. 2004. “Water Pulses and Biogeochemical Cycles in Arid and Semiarid Ecosystems.” Oecologia 141 (2): 221–35. doi:10.1007/s00442-004-1519-1.

Bai, Z. G., D. L. Dent, L. Olsson, and M. E. Schaepman. 2008. “Proxy Global Assessment of Land Degradation.” Soil Use and Management 24 (3): 223–34. doi:10.1111/j.1475-2743.2008.00169.x.

Bouma, Johan, and Alex McBratney. 2013. “Framing Soils as an Actor when Dealing with Wicked Environmental Problems.” Geoderma 200–201 (June). Elsevier B.V.: 130–39. doi:10.1016/j.geoderma.2013.02.011.

Castilho, Carolina V. de, William E. Magnusson, R. Nazaré O de Araújo, Regina C C Luizão, Flávio J. Luizão, Albertina P. Lima, and Niro Higuchi. 2006. “Variation in Aboveground Tree Live Biomass in a Central Amazonian Forest: Effects of Soil and Topography.” Forest Ecology and Management 234 (1–3): 85–96. doi:10.1016/j.foreco.2006.06.024.

Cohen, Joel E. 2003. “Human Population: The next Half Century.” Science 302 (5648): 1172–75. doi:10.1126/science.1088665.

Ellis, Erle C., Kees Klein Goldewijk, Stefan Siebert, Deborah Lightman, Navin Ramankutty, Kees Klein Goldewijk, Stefan Siebert, Deborah Lightman, and Navin Ramankutty. 2010. “Anthropogenic Transformation of the Biomes, 1700 to 2000.” Global Ecology and Biogeography 19 (5): 589–606. doi:10.1111/j.1466-8238.2010.00540.x.

Epron, Daniel, Alexandre Bosc, Damien Bonal, and Vincent Freycon. 2006. “Spatial Variation of Soil Respiration across a Topographic Gradient in a Tropical Rain Forest in French Guiana.” Journal of Tropical Ecology 22 (5): 565. doi:10.1017/S0266467406003415.

Fierer, Noah, and Joshua P. Schimel. 2002. “Effects of Drying-Rewetting Frequency on Soil Carbon and Nitrogen Transformations.” Soil Biology and Biochemistry 34 (6): 777–87. doi:10.1016/S0038-0717(02)00007-X.

Finke, Peter a. 2012. “On Digital Soil Assessment with Models and the Pedometrics Agenda.” Geoderma 171–172. Elsevier B.V.: 3–15. doi:10.1016/j.geoderma.2011.01.001.

Grunwald, S. 2009. “Multi-Criteria Characterization of Recent Digital Soil Mapping and Modeling Approaches.” Geoderma 152 (3–4). Elsevier B.V.: 195–207. doi:10.1016/j.geoderma.2009.06.003.

Grunwald, S., J. a. Thompson, and J. L. Boettinger. 2011. “Digital Soil Mapping and Modeling at Continental Scales: Finding Solutions for Global Issues.” Soil Science Society of America Journal 75 (4): 1201. doi:10.2136/sssaj2011.0025.

Grunwald, Sabine, Gustavo M. Vasques, and Rosanna G. River. 2015. “Fusion of Soil and Remote Sensing Data to Model Soil Properties.” Advances in Agronomy (in Press).

Hartmann, Jens, and Nils Moosdorf. 2012. “The New Global Lithological Map Database {GLiM}: {A} Representation of Rock Properties at the {Earth} Surface.” Geochemistry, Geophysics, Geosystems 13 (12).

Hijmans, Robert J., Susan E. Cameron, Juan L. Parra, Peter G. Jones, and Andy Jarvis. 2005. “Very High Resolution Interpolated Climate Surfaces for Global Land Areas.” International Journal of Climatology 25 (15): 1965–78. doi:10.1002/joc.1276.

ICADI. 2014. “Indonesia Agricultural Statistics Database.” http://aplikasi.pertanian.go.id/bdsp/index-e.asp.

IDGAIF. 2012. “Agricultural Infrastructure and Facilities Statistic 2012.” Jakarta.

IFPA. 2017. “Fertilizer Production and Consumption on Domestic and Export Market, Year 2007 - 2016.” http://www.appi.or.id/?statistic.

Islam, Khandaker Iftekharul, Anisuzzaman Khan, and Tanaz Islam. 2015. “Correlation between Atmospheric Temperature and Soil Temperature: A Case Study for Dhaka, Bangladesh.” Atmospheric and Climate Sciences 5 (3): 200. http://file.scirp.org/pdf/ACS_2015060517163897.pdf.

Luizão, Regina C C, Flávio J Luizão, Romilda Q Paiva, Terezinha F Monteiro, Lucinéia S Sousa, and Bart Kruijt. 2004. “Variation of Carbon and Nitrogen Cycling Processes along a Topographic Gradient in a Central Amazonian Forest.” Global Change Biology 10 (5): 592–600. doi:10.1111/j.1529-8817.2003.00757.x.

McBratney, Alex B., M L Mendonça Santos, B1 Minasny, M. L. Mendonça Santos, B1 Minasny, M L Mendonça Santos, and B1 Minasny. 2003. “On Digital Soil Mapping.” Geoderma 117 (1): 3–52. doi:10.1016/S0016-7061(03)00223-4.

Mikha, Maysoon M., Charles W. Rice, and George a. Milliken. 2005. “Carbon and Nitrogen Mineralization as Affected by Drying and Wetting Cycles.” Soil Biology and Biochemistry 37 (2): 339–47.doi:10.1016/j.soilbio.2004.08.003.

Minasny, Budiman, Yiyi Sulaeman, and Alex B. Mcbratney. 2011. “Is Soil Carbon Disappearing? The Dynamics of Soil Organic Carbon in Java.” Global Change Biology 17: 1917–24. doi:10.1111/j.13652486.2010.02324.x.

NASA-LPDAAC. 2001. “MODIS AQUA Normalized Difference Vegetation Index Data Product (MYD13Q1).”

NRCS. 2005. “Global Soil Regions Map.” http://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/home/?cid=nrcs142p2_054013.

QGIS, Development Team. 2015. “Quantum GIS Version 2.8.1 (WIEN).” Open Source Geospatial Foundation Project.

R, Development Team. 2008. “R: A Language and Environment for Statistical Computing.” Vienna, Austria: R Foundation for Statistical Computing. http://www.r-project.org.

Ross, Christopher Wade, Sabine Grunwald, and David Brenton Myers. 2013. “Spatiotemporal Modeling of Soil Organic Carbon Stocks across a Subtropical Region.” The Science of the Total Environment 461–462. Elsevier B.V.: 149–57. doi:10.1016/j.scitotenv.2013.04.070.

Spain, a V. 1990. “Influence of Environmental Conditions and Some Soil Chemical Properties on the Carbon and Nitrogen Contents of Some Tropical Australian Rainforest Soils.” Australian Journal of Soil Research 28 (6): 825–39. doi:10.1071/SR9900825.

Vasques, Gustavo M., Sabine Grunwald, and D. B. Myers. 2012. “Associations between Soil Carbon and Ecological Landscape Variables at Escalating Spatial Scales in Florida, USA.”Landscape Ecology 27 (3): 355–67. doi:10.1007/s10980-011-9702-3.

World Bank. 2014. “World Development Indicators: Rural Environment and Land Use.” World Development Indicators The World Bank.http://wdi.worldbank.org/table/3.1.

Xiong, Xiong, Sabine Grunwald, D Brenton Myers, C Wade Ross, Willie G Harris, and Nicolas B Comerford. 2014. “Interaction Effects of Climate and Land Use/land Cover Change on Soil Organic Carbon Sequestration.” The Science of the Total Environment 493 (September). Elsevier B.V.: 974–82. doi:10.1016/j.scitotenv.2014.06.088.




DOI: http://dx.doi.org/10.14203/widyariset.3.2.2017.107-118

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 Widyariset

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Indexed by :