Wetlands estimation survey using DotS method: The case of Paya Indah Wetlands, Malaysia

Nurul’ Ain Jamion, Khai Ern Lee, Mazlin Mokhtar, Thian Lai Goh, Norbert Simon, Rodeano Roslee

Abstract


Climate change poses a detrimental impact on the environment due to increasing carbon dioxide concentration in the atmosphere. In mitigating climate change, wetlands play a significant role in optimising the function of the earth's ecosystem for carbon sequestration and water resources rehabilitation. However, the effectiveness of wetlands management depends on an ecologically and statistically adequate dataset. Unfortunately, it is difficult for developing countries to implement area frame methods based on established sampling methods for data collection and monitoring. Thus, in this study, the dot sampling (DotS) method was adopted as it is simple, efficient, reliable and does not need a sample frame or high cost. DotS method uses the readily available platform, i.e., integration between Microsoft Excel-Macro (EM) and Google Earth (GE). This method systematically distributes the sample dots in GE's target area according to the locations generated by the EM. The field survey was then conducted at the sample dots of the target area in Paya Indah Wetlands (PIW) to ratify the site location. During the first stage, 72 dot sample locations were generated systematically, distributed across the target area, and 47 dot sample locations were located within the PIW. After the preparatory stage, 10 dot sample locations were eliminated. After the fieldwork inspection and evaluation, only 28 dot sample locations were selected as study stations. Hence, this study provides comprehensive data and examples applying the established DotS method with high reliability, accuracy, and rapidity in determining the number of study stations of wetlands. Based on the advantages, this study recommends the DotS method as a reliable survey method suitable for all study locations, especially in the ecology field. Applying the Dots methods as a surveying tool enables rapid land assessment in planning and suits the assessment of ex-mining constructed wetlands.

 

Keywords: Climate change, constructed wetland, DotS method, estimation survey wetland, excel-macro, google earth


Keywords


Climate change, constructed wetland, DotS method, estimation survey wetland, excel-macro, google earth

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References


Bauer, T., Schneider, W., Bussink, C. and Catari, H. (2016). Comparing dot grid sampling versus full area mapping for illicit crop monitoring in Bolivia, in Seventh International Conference on Agricultural Statistics (ICAS VII), 384–390. doi:10.1481/icasVII.2016.b09

Belay, A., Recha, J., Woldeamanuel, T., & Morton, J. F. (2017). Smallholder Farmers’ Adaptation to Climate Change and Determinants of their Adaptation in the Central Rift Valley of Ethiopia", in Proceedings of the International Conference on Impact of El Niño on Biodiversity, Agriculture, and Food Security, 63–73. Research and Extension office of Haramaya University, Ethiopia.

Bellamy, R. (2015). A Sociotechnical Framework for Governing Climate Engineering. Science Technology and Human Values, 41(2), 135–162. doi:10.1177/0162243915591855

Bhomia, R. K., Kauffman, J. B., & McFadden, T. N. (2016). Ecosystem carbon stocks of mangrove forests along the Pacific and Caribbean coasts of Honduras. Wetlands Ecology and Management, 24(2),187–201. doi:10.1007/s11273-016-9483-1

Chawla, I., Karthikeyan, L., & Mishra, A. K. (2020). A review of remote sensing applications for water security: Quantity, quality, and extremes. Journal of Hydrology, 585(March), 124826. doi:10.1016/j.jhydrol.2020.124826

Davis, S. J., Caldeira, K., & Matthews, H. D. (2010). Future CO2 emissions and climate change from existing energy infrastructure. Science, 329(5997), 1330–1346. doi:10.1126/science.1188566

Degefie, D. T. (2018). Feasibility of Dot Sampling Method for Crop Area and Production Estimation: the case of rice in Fogera district.

Dunn, R. J. H., Stanitski, D. M., Gobron, N., & Willett, K. M. E. (2020). State of the climate in 2019. Bulletin of the American Meteorological Society, 101, S17–S184. doi:10.1175/BAMS-D-20-0105.1

Elham, E., & Mahdavi, M. (2019). Land suitability assessment using ANP in a GIS environment for Tourism Development Site (Case study: Lavasan-e Kuchak Rural District, Tehran province, Iran). Journal of Tourism & Hospitality Research, 7(1), 5–17.

Food and Agriculture Organization (FAO) of the United Nations. (2019). Guidelines on planning rice production survey. 9-10.

Hanasaka, J. (2019). Results of retrospective survey of cultivated land area and abandoned cultivated area on Google Earth Pro using the archive function and the dot sampling method. pp 1-2.

Jabatan Perancangan Bandar dan Desa (JPBD) Malaysia, Kementerian Kesejahteraan Bandar, Perumahan dan Kerajaan Tempatan, (2014), Garis Panduan Perancangan Pemuliharaan Dan Pembangunan Kawasan Sensitif Alam Sekitar (KSAS) Dataran Banjir, Tanah Lembap, Bekas Lombong, Tasik & Sungai (GP007-A(5)), pp. 19-21.

Jabatan Perancangan Bandar dan Desa (JPBDS). (2017). Laporan Tinjauan Kajian Rancangan Struktur Negeri Selangor 2035, B14: Alam Sekitar dan Pengurusan Sumberjaya, pp. 7.

Jamion, N. A., Lee, K. E., Mokhtar, M., Goh, T. L., & Simon, N. (2022a). The integration of nature values and services in the nature-based solution assessment framework of constructed wetlands for carbon-water nexus in carbon sequestration and water security. Environmental Geochemistry and Health. In Press.

Jamion, N. A., Lee, K. E., Mokhtar, M., Lai Goh, T., & Simon, N. (2022b). Evaluation of the content validity of the intrinsic-instrumental assessment tool for assessing the nature values of constructed wetlands. Geografia-Malaysian Journal of Society and Space, 18(1), 101–117. doi:10.17576/geo-2022-1801-08.

Jinguji, I. (2012). How to Develop Master Sampling Frames using Dot Sampling Method. Japan. pp. 1-15.

Jinguji, I. (2014). Dot Sampling Method for Area Estimation. Kamakura City, Japan. pp. 1-21.

Jinguji, I., Masaaki, I., Kozo, Y., & Yoshida, Y. (2019). Results of Land Use Estimation Using Satellite Image Recognition Using Deep Learning. Japan. pp. 1-16.

Kadarmanto. (2018). Improvement of Indonesian Rice Statistics Using Area Sample Frame (ASF) Approach. pp 1-40.

Kamikura, K. (2012). Estimation of Planted Area using the Dot Sampling Method, in 24th Session Asia and Pacific Commision on Agricultural Statistics, Da Lat, Vietnam, pp. 1-7.

Kamikura, K. (2016). The Dot Sampling Method, Ministry of Agriculture, Forestry and Fisheries, Japan, pp. 1-48.

Kementerian Sumber Asli dan Alam Sekitar. (2013). Paya Indah Wetlands 1–9. Retrieved from http://www.nre.gov.my/Malay/EkoPelancongan/Pages/PayaIndahWetlands.aspx

Lorenz, K., & Lal, R. (2018). Carbon Sequestration in Wetland Soils. Carbon Sequestration in Agricultural Ecosystems, 211- 234. doi:10.1007/978-3-319-92318-5_5.

Manurung, J. W. (2018.) BPS gunakan metode KSA dapatkan data pertanian yang berkualitas. Antara Kalteng. pp. 1-2.

Margules, C. R., & Pressey, R. L. (2000). Systematic conservation planning. Nature, 405(May), 243–253.

Masi, F., Rizzo, A., & Regelsberger, M. (2018). The role of constructed wetlands in a new circular economy, resource oriented, and ecosystem services paradigm. Journal of Environmental Management, 216, 275–284. doi:10.1016/j.jenvman.2017.11.086

Mitsch, W. J., Bernal, B., Nahlik, A. M., Mander, Ü., Zhang, L., Anderson, C. J., Jørgensen, S. E., et al., (2013). Wetlands, carbon, and climate change. Landscape Ecology, 28(4), 583–597. doi:10.1007/s10980-012-9758-8

Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., Van Vuuren, D. P., Carter, T. R., et al., (2010). The next generation of scenarios for climate change research and assessment. Nature, 463(7282), 747–756. doi:10.1038/nature08823

News, A. (2017). AfricaRice News blog. AfricaRice News blog.

Pinke, Z., Kiss, M., & Lövei, G. L. (2017). Developing an integrated land use planning system on reclaimed wetlands of the Hungarian Plain using economic valuation of ecosystem services. Ecosystem Services, 30(B), 299-308.

Rajpar, M. N., & Zakaria, M. (2014). Effects of Habitat Characteristics on Waterbird Distribution and Richness in Wetland Ecosystem of Malaysia. Journal of Wildlife and Parks, 28, 105–120.

Rosli, F. A., Lee, K. E., Goh, C. T., Mokhtar, M., Latif, M. T., Goh, T. L., & Simon, N. (2017). The use of constructed wetlands in sequestrating carbon: An overview. Nature Environment and Pollution Technology, 16(3), 813-819.

Salari, A., Zakaria, M., Nielsen, C. C., & Boyce, M. S. (2014). Quantifying tropical wetlands using field surveys, spatial statistics and remote sensing. Wetlands, 34(3), 565–574. doi:10.1007/s13157-014-0524-3.

Srivastava, M. K. (2014). Crop yield estimation surveys in India in Crops Monitoring for Improved Food Security. 209-218.

Takashina, N., Beger, M., Kusumoto, B., Rathnayake, S., & Possingham, H. P. (2018). A theory for ecological survey methods to map individual distributions. Theoretical Ecology, 11(2), 213–223. doi:10.1007/s12080-017-0359-7

Tran, H., Nguyen, Q., & Kervyn, M. (2018). Factors influencing people’s knowledge, attitude, and practice in land use dynamics: A case study in Ca Mau province in the Mekong delta, Vietnam. Land Use Policy, 72(January), 227–238. doi:10.1016/j.landusepol.2017.12.009


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