Geospatial analyzing of straits shipping paths for the integration of air quality and marine wildlife conservation
Keywords:GIS-based modeling, Malacca Strait, Dugong
This paper develops a GIS-based model to determine suitable locations for shipping paths within Malacca Strait by investigating the best air quality. The mathematical and geospatial approach is used to identify a reasonable relationship between air quality and Dugong's habitat location. Various factors with different levels of influence and degrees of importance were established as criteria. The chosen region of study, Malacca Strait, the world's second-busiest commercial shipping channel, undertakes several statistical and mathematical analyses of vessel transportation that focus on air quality concerning the main marine animal of Strait (Dugong), using the geographic information system (GIS) as a visualization platform. The distance from the maritime paths to the dugong home range is modeled based on NOx's factor as the primary air pollutant of shipping emissions from moving vessels in the sea. The results took into consideration the main negative environmental elements in shipping paths. The minimum calculated distance serves as a constraint to indicate where the dugongs' habitats cannot be located. The result is that too many parts of the probability of suitable Dugong habitat in the study area do not have a proper position that does not put it in conflict with shipping polluted zones. This research has successfully managed and developed a scientifically based method for understanding the relationship between wide life habitat and marine transportation by analyzing successful and non-successful present and future shipping.
Adulyanukosol, K., Thongsukdee, S., Hara, T., Arai, N., Tsuchiya, M. (2007). Observations of Dugong reproductive behaviour in Trang Province, Thailand: further evidence of intraspecific variation in dugong behavior. Marine Biology. 151(5), 1887-1891. DOI: 10.1007/s00227-007-0619-y
Anderson, P. (1997) Shark Bay dugongs in summer, I: Lek mating. Behaviour. 134(5/6), 433-462. DOI: https://www.jstor.org/stable/4535450
Annual Climate Assessment Reports (2014) Singapore Metrological Service, 5-16
Austin, M.P. (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modeling. Ecol. Model. 157, 101–118.DOI: https://doi.org/10.1016/S0304-3800(02)00205-3
Baldwin, R.A (2009) Use of Maximum Entropy Modeling in Wildlife Research. Entropy. 11, 854–866. DOI: https://doi.org/10.3390/e11040854
Briscoe, D., Hiatt, S., Lewison, R., Hines, E. (2014) Modeling habitat and bycatch risk for dugongs in Sabah, Malaysia ENDANGERED SPECIES RESEARCH. 24, 237–247. DOI: 10.3354/esr00600
Burgess, E. A., Lanyon, J.M., and Keeley, T. (2012) Testosterone and tusks: maturation and seasonal reproductive patterns of live, free-ranging male dugongs (Dugong dugon) in a subtropical population. Reproduction, 143, pp 683–697. doi: 10.1530/REP-11-0434. Epub 2012 Mar 5.
Caetano, W.D., da Silva Jota, P. (2016) Load Static Models for Conservation Voltage Reduction in the Presence of Harmonics. Energy and Power Engineering. 8(2), 62-75. DOI: 10.4236/epe.2016.82006.
Crowl, A. D., and Louvar, J. F. (2002) Chemical Process Safety. Prentice Hall PTR, USA. 186-236
De Iongh, H., Kiswara, W. Kustiawan,W., Loth, P. (2007) A review of research on the interactions between dugongs (Dugong dugon Muller 1776) and intertidal seagrass beds in Indonesia. Hydrobiologia. 591, 73-83. DOI 10.7717/peerj.2194
Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E., Yates, C.J. (2011) A statistical explanation of MaxEnt for ecologists. Diver. Distrib. 17,43–57.DOI:
Escourroug (1996) Transport, contraintes climatiques et pollution. Sedes.
Gastón, A., García-Viñas, J.I. (2011) Modeling species distributions with penalized logistic regressions: A comparison with maximum entropy models. Ecol. Model. 222, 2037–2041. DOI: 10.1016/j.ecolmodel.2011.04.015
GEBCO (General Bathymetric Chart of the Oceans) (2014) https://www.gebco.net
Grech, A. & G.Coles (2010) An ecosystem-scale predictive model of coastal seagrass distribution. AQUATIC CONSERVATION: MARINE AND FRESHWATER ECOSYSTEMS. 20, 437–444. https://doi.org/10.1002/aqc.1107
Gulam, M., Alka, A., Sanjula, B., And Javed, A. (2013) Box-Behnken supported validation of stability-indicating high performance thin-layer chromatography (HPTLC) method: An application in degradation kinetic profiling of ropinirole. Saudi Pharmaceutical Journal. 21(1), 93-102. DOI: https://doi.org/10.1016/j.jsps.2011.11.006
Hernandez, P.A., Graham, C.H., Master, L.L., Albert, D.L. (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography. 29, 773–785. DOI:
Ilangakoon, A., Tun, T. (2007) Rediscovering the Dugong in Myanmar and capacity building for research and conservation. The Raffles Bulletin of Zoology. 55(1), 195-199. DOI: https://www.researchgate.net/publication/228661505
Lawler, I., Marsh, H. McDonald, B. and Stokes, T. (2002) Dugongs in the Great Barrier Reef: Current state of knowledge. Cooperative Research Centre for the Great Barrier Reef World Heritage Area .CRC Reef Research Centre Report.
Lefebvre, L., Reid, J. Kenworthy, W. Powell, J. (2000) Characterizing manatee habitat use and seagrass grazing in Florida and Puerto Rico:implications for conservation and management. Pac Conserv Biol 5, 289−298. DOI: 10.3354/meps11986
Marsh, H. and Sobtzick, S. (2015) Dugong dugon. The IUCN Red List of Threatened Species 2015.
Marsh, H. (2002) Dugong: Status Report and Action Plans for Countries and Territories. UNEP
Marsh, H., Heinsohn, G. Marsh, L. (2010) Breeding cycle, life history, and population dynamics of the Dugong, Dugong dugon (Sirenia: Dugongidae). Australian Journal of Zoology, 32(6), 767-788. DOI: 10.1071/ZO9840767
Matthias. V, Bewersdorff, I. Aulinger, A. and Quante, M. (2010) The contribution of ship emissions to air pollution in the North Sea regions. Environmental pollution. 158, 2241-2250. https://doi.org/10.1016/j.envpol.2010.02.013
MDM (Marine Department of Malaysia) (2015) Official website, List of statistic, available in http://www.marine.gov.my
Miola, A. and Ciuffo, M. (2011) Estimating air emissions from ship: Meta-analysis of modelling approaches and available data sources. 5, 2242-2251. DOI: 10.1016/j.atmosenv.2011.01.046
Pasqualini, V., Pergent-Martini, C., Fernandez,C., Ferrat, L., Tomaszewski, J. and Pergent, G. (2005) Wetland monitoring: aquatic plant changes in two Corsican coastal lagoons (Western Mediterranean Sea), AQUATIC CONSERVATION: MARINE AND FRESHWATER ECOSYSTEMS.16(1) , 43-60. https://hal.archives-ouvertes.fr/hal-01769109
Phillips, S.J., Dudík, M., Schapire, R.E. (2009) MaxEnt software for species habitat modeling, version 3.3.1. Available online
Phillips, S.J., Dudík, M., Schapire, R.E. (2004) A maximum entropy approach to species distribution modeling (In: Proceeding of 21st International Conference on Machine Learning) . ACM Press: New York, NY, USA. 655–662.
Rudrapati, R. and Patil, A. (2019). Optimization of Cutting Conditions for Surface Roughness in VMC 5-Axis. Materials Science Forum. 969, 631-636. DOI: 10.4028/www.scientific.net/MSF.
Saxe, H. and Larsen, T. (2004) Air Pollution from Ships in three Danish ports. Atmospheric Environment. 38, 4057-4067. DOI: https://doi.org/10.1016/j.atmosenv.2004.03.055
Solvay, G., Hans-Dieter, E. and Anna-Katharina, H. (2008) The Straits of Malacca: knowledge and diversity. Lit; London: Global [distributor], Berlin, 23-113
Turner, D. B. (1995) Atmospheric Dispersion Estimates, an Introduction to Dispersion Modeling. Lewis Publisher, USA.
Wayson, R. (2000) Predicting Air Quality near Roadways through the Application of a Gaussian Puff Model to Moving Sources. Proceeding of 93rd Annual Conference and Exhibition of the Air and Waste Management Association, USA.
WHO (2005) Air Quality Guidelines. Regional Office for Europe, Copenhagen, Denmark, 15-17
Williams, E. J., Lerner, B. M., Murphy, P. C. Herndon, S. C. (2006) Emissions of NOx, SO2, CO, and HCHO from commercial marine shipping during Texas Air Quality Study (TexAQS), Journal of Geographic Research, 114(21), 1984–2012. https://doi.org/10.1029/2009JD012094
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