Observation-Oriented Causal Discovery for Cultivation Abandonment of Rice Terraces: Focusing on an Effect of Cultural Endemism on Decision-Making in Toraja, Indonesia
Previous discussion about the factors of the expanding trend of abandoned cultivation had focused only on universal factors and lacked evaluation of the regionality of the phenomenon. This paper demonstrated the Toraja’s regional characteristics and the influence of cultural endemism on decision-making about abandoning cultivation by an observation-oriented approach. Based on a causal framework constructed by field observation and geospatial data generation, an adjustment for overt covariates using the multivariate logistic regression model to draw the causal effect from hidden covariates was examined in two rice terraces with different water systems, i.e. irrigated field and rain-fed field. The result of sub-group analysis revealed that decisions about abandoning cultivation in Toraja were greatly associated with disadvantageous factors for intensive farming, i.e. “number of adjacent fields” and “soil erosion” rather than advantageous factors, i.e. “area of field” and “distance to roads”. Moreover, the result of interaction analysis which controlled the effect of topography revealed the powerful effect of particular decision factors only in rain-fed rice terrace: the “distance to roads” factor’s fairly negative contribution on abandoning cultivation (Odds ratio = 9.94E -?01, P value = 2.03E?- 11), as well as the “number of adjacent field” factor’s positive contribution on abandoning cultivation (Odds ratio = 1.13E+00, P value = 3.65E?- 04). Given the evidence from the explanation of these results by customary laws and land inheritance system for each site, therefore, it could be concluded that the screening and detection of cultural endemism’s influence was achieved using the algorithm this paper proposes.
References
[1]
Kozak, J., Ostapowicz, K., Szablowska-Midor, A. and Widacki, W. (2004) Land Abandonment in the Western Beskidy Mts and Its Environmental Background. Ekológia (Bratislava), 23, 116-126.
[2]
Tatoni, T. and Roche, P. (1994) Comparison of Old-Field and Forest Revegetation Dynamics in Provence. Journal of Vegetation Science, 5, 295-302. http://dx.doi.org/10.2307/3235852
[3]
Le Houérou, H.N. (1993) Land Degradation in Mediterranean Europe: Can Agroforestry Be a Part of the Solution? A Prospective Review. Agroforestry Systems, 21, 43-61. http://dx.doi.org/10.1007/bf00704925
[4]
MacDonald, D., et al. (2000) Agricultural Abandonment in Mountain Areas of Europe: Environmental Consequences and Policy Response. Journal of Environmental Management, 59, 47-69. http://dx.doi.org/10.1006/jema.1999.0335
[5]
Hosoda, A. (2006) Traditional and Institutional Characteristics in Rural Society of Tana Toraja. KEIZAI SHIRIN The Hosei Univ. Econ. Rev.73, 245–274.
[6]
Oide, A., Doko, T. and Chen, W. (2015) Network Analysis of Livelihood Pattern Changes in North Toraja, Indonesia, 1975-2014. Papers on Environmental Information Science, 29, 339-344.
[7]
Giguère, B. and Lalonde, R.N. (2010) Why Do Students Strike? Direct and Indirect Determinants of Collective Action Participation. Political Psychology, 31, 227-247. http://dx.doi.org/10.1111/j.1467-9221.2009.00750.x
[8]
Louis, W.R., Taylor, D.M. and Neil, T. (2004) Cost-Benefit Analyses for Your Group and Yourself: the Rationality of Decision-Making in Conflict. International Journal of Conflict Management, 15, 110-143.
http://dx.doi.org/10.1108/eb022909
[9]
Matsuno, Y., et al. (2006) Prospects for Multifunctionality of Paddy Rice Cultivation in Japan and Other Countries in Monsoon Asia. Paddy and Water Environment, 4, 189-197. http://dx.doi.org/10.1007/s10333-006-0048-4
[10]
Molden, D., Rijsberman, F., Matsuno, Y. and Amarasinghe, U. (2001) Increasing Productivity of Water : A Requirement for Food and Environmental Security. 22-23.
[11]
Mottet, A., Ladet, S., Coqué, N. and Gibon, A. (2006) Agricultural Land-Use Change and Its Drivers in Mountain Landscaps: A Case Study in the Pyrenees. Agriculture, Ecosystems & Environment, 114, 296-310.
http://dx.doi.org/10.1016/j.agee.2005.11.017
[12]
Bakker, M.M., et al. (2005) Soil Erosion as a Driver of land-Use Change. Agriculture, Ecosystems & Environment, 105, 467-481. http://dx.doi.org/10.1016/j.agee.2004.07.009
[13]
Bürgi, M. and Turner, M.G. (2002) Factors and Processes Shaping Land Cover and Land Cover Changes along the Wisconsin River. Ecosystems, 5, 184-201. http://dx.doi.org/10.1007/s10021-001-0064-6
[14]
Gisbert, J.M., Ibanez, S. and Perez, M.A. (2005) Terrace Abandonment in the Ceta Valley, Alicante Province, Spain. Adv Geoecol, 36, 329-337.
[15]
Nagendra, H., Southworth, J. and Tucker, C. (2003) Accessibility as a Determinant of Landscape Transformation in Western Honduras: Linking Pattern and Process. Landscape Ecology, 18, 141-158.
http://dx.doi.org/10.1023/A:1024430026953
[16]
Hatna, E. and Bakker, M.M. (2011) Abandonment and Expansion of Arable Land in Europe. Ecosystems, 14, 720-731.
http://dx.doi.org/10.1007/s10021-011-9441-y
[17]
Rosenbaum, P.R. and Rubin, D.B. (1984) Reducing Bias in Observational Studies Using Sub-Classification on the Propensity Score. Journal of the American Statistical Association, 79, 516-524.
http://dx.doi.org/10.1080/01621459.1984.10478078
[18]
Cochran, W.G. and Chambers, S.P. (1965) The Planning of Observational Studies of Human Populations. Journal of the Royal Statistical Society: Series A, 128, 234-255. http://dx.doi.org/10.2307/2344179
[19]
Morgan, S.L. (2010) A Quantitative Tour of the Social Sciences. Contemporary Sociology: A Journal of Review, 39, 164-166.
[20]
Wegmuller, U., Werner, C. and Strozzi, T. (1998) SAR Interferometric and Differential Interferometric Processing Chain. Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, Seattle, 6-10 July 1998, 1106-1108. http://dx.doi.org/10.1109/IGARSS.1998.699687
[21]
Lowry, B., et al. (2013) High Resolution Displacement Monitoring of a Slow Velocity Landslide Using Ground Based Radar Interferometry. Engineering Geology, 166, 160-169. http://dx.doi.org/10.1016/j.enggeo.2013.07.007
[22]
Sousa, J.J., et al. (2010) PS-InSAR Processing Methodologies in the Detection of Field Surface Deformation-Study of the Granada Basin (Central Betic Cordilleras, Southern Spain). Journal of Geodynamics, 49, 181-189.
http://dx.doi.org/10.1016/j.jog.2009.12.002
[23]
Sun, Q., et al. (2015) Slope Deformation Prior to Zhouqu, China Landslide from InSAR Time Series Analysis. Remote Sensing of Environment, 156, 45-57. http://dx.doi.org/10.1016/j.rse.2014.09.029
[24]
Liu, L., Zhang, T. and Wahr, J. (2010) InSAR Measurements of Surface Deformation over Permafrost on the North Slope of Alaska. Journal of Geophysical Research, 115, F03023. http://dx.doi.org/10.1029/2009jf001547
[25]
Cox, D.R. (1958) The Regression Analysis of Binary Sequences. Journal of the Royal Statistical Society: Series B, 20, 215-242.
[26]
Szklo, M. (Moyses) and Nieto, F.J. (2007) Epidemiology : Beyond the Basics. Jones and Bartlett Publishers, Inc., Sudbury.