Analysis of drought hazards in agricultural land in Pacitan Regency, Indonesia

Istika Nita, Aditya Nugraha Putra, Alia Fibrianingtyas

Abstract

Pacitan Regency is a region in East Java Province with varied landforms and high disaster potential, including drought. The drought hazard in this region has not yet been determined. This study was conducted to analyze the potential of drought in Pacitan Regency in 2018 with the previous two decades (1998 and 2008) to predict future droughts. The study also focused on verifying how land-use changes impact drought potential. Mapping drought potential was based on the Ministry of Forestry method and was modified for this study. Drought potential was determined by scoring features and analyzing with a weighted overlay. Reference parameters and patterns of land-use change, as determined by Landsat 5, 7, and 8 satellite imagery, were analyzed. Then, the changing pattern was used to predict future 2030 land-use patterns using business as usual (BAU) analysis. For comparison, a land-use analysis was also done using the land capability class (LCC) and regional spatial plan (RSP). Data was validated using a confusion matrix. The accuracy of the drought estimation for Pacitan Regency was 75%. The results showed that the drought potential high and very-high level risk groups increased. The increase occurred due to changes in land use, specifically land management and plant species selection. Based on the results of the predicting BAU analysis, the level of potential of drought will increase by 2030. The regional spatial plan (RSP) and LCC analysis determined that, with no drought intervention, drought hazard in Pacitan Regency will increase.

Keywords

Drought; Pacitan; Disasters; Agriculture; Land use

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References

Afzal, M., & Ragab, R. (2019). Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale. Water (Switzerland), 11(9). https://doi.org/10.3390/w11091790

Arsyad, S., & et al. (1992). Conservation Policies for Sustainable Hillslope Farming. Ankeny, Iowa: Soil and Water Conservation Society.

Azadi, H., Keramati, P., Taheri, F., Rafiaani, P., Teklemariam, D., Gebrehiwot, K., … Witlox, F. (2018). Agricultural Land Conversion: Reviewing Drought Impacts and Coping Strategies. International Journal of Disaster Risk Reduction, 31, 184–195. https://doi.org/10.1016/j.ijdrr.2018.05.003

Bankoff, G., Frerks, G., & Hilhorst, D. (2013). Mapping Vulnerability: Disasters, Development, and People (eBook). London, UK: Routledge. https://doi.org/10.4324/9781849771924

Bazza, M., Kay, M., & Knutson, C. (2018). Drought Characteristics and Management in North Africa and the Near East. Food and Agriculture Organization of the United Nations: FAO Water Reports. Rome, Italy. Retrieved from http://www.fao.org/3/CA0034EN/ca0034en.pdf

BPS-Kabupaten Pacitan. (2018). Kabupaten Pacitan Dalam Angka 2018. Pacitan, Indonesia: BPS Kabupaten Paacitan. Retrieved from https://pacitankab.bps.go.id/publication/2018/08/16/bafef806e5ca9623df129726/kabupaten-pacitan-dalam-angka-2018.html

Cadag, J. R. D., & Gaillard, J. (2012). Integrating Knowledge and Actions in Disaster Risk Reduction: The Contribution of Participatory Mapping. Area, 44(1), 100–109. https://doi.org/10.1111/j.1475-4762.2011.01065.x

D’Arrigo, R., & Wilson, R. (2008). El Nino and Indian Ocean Influences on Indonesian Drought: Implications for Forecasting Rainfall and Crop Productivity. International Journal of Climatology, 28(5), 611–616. https://doi.org/10.1002/joc.1654

Hamidi, H., & Safarnejad, A. (2010). Effect of Drought Stress on Alfalfa Cultivars (Medicago sativa L.) in Germination Stage. American-Eurasian Journal of Agricultural & Environmental Sciences, 8(6), 705–709. https://doi.org/10.1007/s12355-014-0337-y

Huang, S., Huang, Q., Chang, J., & Leng, G. (2016). Linkages between Hydrological Drought, Climate Indices, and Human Activities: A Case Study in the Columbia River Basin. International Journal of Climatology, 36(1), 280–290. https://doi.org/10.1002/joc.4344

Paimin, Pramono, I. B., Purwanto, & Indrawati, D. R. (2012). Sistem Perencanaan Pengelolaan Daerah Aliran Sungai. Kementerian Kehutanan, Badan Penelitian dan Pengembangan Kehutanan, Pusat Penelitian dan Pengembangan Konservasi dan Rehabilitasi. Bogor, Indonesia: Pusat Penelitian dan Pengembangan Konservasi dan Rehabilitasi.

Poiani, T. H., Rocha, R. D. S., Degrossi, L. C., & Albuquerque, J. P. D. (2016). Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 188–197). Hawai: IEEE. https://doi.org/10.1109/HICSS.2016.31

Reddy, A. R., Chaitanya, K. V., & Vivekanandan, M. (2004). Drought-Induced Responses of Photosynthesis and antioxidant Metabolism in Higher Plants. Journal of Plant Physiology, 161(11), 1189–1202. https://doi.org/10.1016/j.jplph.2004.01.013

Samarasinghe, S. M. J. S., Nandalal, H. K., Weliwitiya, D. P., Fowze, J. S. M., Hazarika, M. K., & Samarakoon, L. (2010). Application of Remote Sensing and GIS for Flood Risk Analysis: A Case Study at Kalu-Ganga River, Sri Lanka. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 38(8), 110–115.

Samodra, H., Gafoer, S., & Tjokrosapoetro, S. (1992). Peta Geologi Lembar Pacitan, Jawa, skala 1: 100.000. Bandung. Indonesia: Pusat Penelitian dan Pengembangan Geologi.

Shao, H. B., Chu, L. Y., Jaleel, C. A., Manivannan, P., Panneerselvam, R., & Shao, M. A. (2009). Understanding Water Deficit Stress-Induced Changes in the Basic Metabolism of Higher Plants – Biotechnologically and Sustainably Improving Agriculture and the Ecoenvironment in Arid Regions of the Globe. Critical Reviews in Biotechnology, 29(2), 131–151. https://doi.org/10.1080/07388550902869792

Venuprasad, R., Lafitte, H. R., & Atlin, G. (2007). Response to Direct Selection for Grain Yield under Drought Stress in Rice. Crop Science, 47(1), 285–293. https://doi.org/10.2135/cropsci2006.03.0181

Wang, L., & Qu, J. J. (2007). NMDI: A Normalized Multi-Band Drought Index for Monitoring Soil and Vegetation Moisture with Satellite Remote Sensing. Geophysical Research Letters, 34(20). https://doi.org/10.1029/2007GL031021

Zhang, F. J., Zhang, K. K., Du, C. Z., Li, J., Xing, Y. X., Yang, L. T., & Li, Y. (2015). Effect of Drought Stress on Anatomical Structure and Chloroplast Ultrastructure in Leaves of Sugarcane. Sugar Tech, 17(1), 41–48. https://doi.org/10.1007/s12355-014-0337-y

Zhang, Y., Peng, C., Li, W., Fang, X., Zhang, T., Zhu, Q., … Zhao, P. (2013). Monitoring and Estimating Drought-Induced Impacts on Forest Structure, Growth, Function, and Ecosystem Services Using Remote-Sensing Data: Recent Progress and Future Challenges. Environmental Reviews, 21(2), 103–115. https://doi.org/10.1139/er-2013-0006

Zhou, Y., & Shao, H. (2008). The Responding Relationship between Plants and Environment is the Essential Principle for Agricultural Sustainable Development on the Globe. Comptes Rendus Biologies, 331(4), 321–328. https://doi.org/10.1016/j.crvi.2008.01.008

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