SEAGRASS HABITAT SUITABILITY MAP AT MERAMBONG SHOAL, JOHOR: A PRELIMINARY STUDY USING MULTIBEAM ECHOSOUNDER AND MAXENT MODELLING
作者： M. A. H. Muhamad , R. Che Hasan
DOI: 10.5194/ISPRS-ARCHIVES-XLII-4-W16-463-2019
关键词: Spatial distribution 、 Shoal 、 Echo sounding 、 Benthic zone 、 Terrain 、 Seagrass 、 Physical geography 、 Environmental niche modelling 、 Environmental science 、 Bathymetry
摘要: Abstract. In recent years, there has been an increasing interest to use high-resolution multibeam dataset and Species Distribution Modelling (SDM) for seagrass habitat suitability model. This requires a specific variable derived from data in-situ occurrence samples. The purpose of this study was (1) derive variables bathymetry be used in model, (2) produce model using Maximum Entropy (MaxEnt), (3) quantify the contribution each predicting map. area located at Merambong Shoal, covering 0.04 km2, situated along Johor Strait. First, twelve (12) were collected echosounder Benthic Terrain Modeller (BTM) tool. Secondly, all samples integrated MaxEnt results showed that Area Under Curve (AUC) values based on training test 0.88 0.65, respectively. northwest region survey indicated higher seagrass, while southeast lower suitability. Bathymetry mean found most contributed among others. spatial distribution modelling technique agreed with previous studies they are distributed depths ranging 2.2 3.4 meters whilst less suitable water depth. concludes map pixel size (0.5 meter) can produced Shoal acoustic coupled underwater video observations.
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sci-hub.st 参考文章(38)
Teruhisa Komatsu, Mazlan Hashim, Samsudin Ahmad, Syarifuddin Misbari, Nurul Nadiah Yahya, Mohd Nadzri Reba, Determination of seagrass biomass at Merambong Shoal in Straits of Johor using satellite remote sensing technique Malayan Nature Journal. ,vol. 66, pp. 21- ,(2015)
Richard G. Pearson, Christopher J. Raxworthy, Miguel Nakamura, A. Townsend Peterson, Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar Journal of Biogeography. ,vol. 34, pp. 102- 117 ,(2006) , 10.1111/J.1365-2699.2006.01594.X
Jane Elith, Steven J. Phillips, Trevor Hastie, Miroslav Dudík, Yung En Chee, Colin J. Yates, A statistical explanation of MaxEnt for ecologists Diversity and Distributions. ,vol. 17, pp. 43- 57 ,(2011) , 10.1111/J.1472-4642.2010.00725.X
Jennie Pearce, Simon Ferrier, An evaluation of alternative algorithms for fitting species distribution models using logistic regression Ecological Modelling. ,vol. 128, pp. 127- 147 ,(2000) , 10.1016/S0304-3800(99)00227-6
Conor D. Wilson, Dai Roberts, Neil Reid, Applying species distribution modelling to identify areas of high conservation value for endangered species: A case study using Margaritifera margaritifera (L.) Biological Conservation. ,vol. 144, pp. 821- 829 ,(2011) , 10.1016/J.BIOCON.2010.11.014
J. Swets, Measuring the accuracy of diagnostic systems Science. ,vol. 240, pp. 1285- 1293 ,(1988) , 10.1126/SCIENCE.3287615
Arnald Marcer, Llorenç Sáez, Roberto Molowny-Horas, Xavier Pons, Joan Pino, Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation Biological Conservation. ,vol. 166, pp. 221- 230 ,(2013) , 10.1016/J.BIOCON.2013.07.001
Francesc Sardà-Palomera, Lluís Brotons, Dani Villero, Henk Sierdsema, Stuart E. Newson, Frédéric Jiguet, Mapping from heterogeneous biodiversity monitoring data sources Biodiversity and Conservation. ,vol. 21, pp. 2927- 2948 ,(2012) , 10.1007/S10531-012-0347-6
Markus Diesing, Sophie L. Green, David Stephens, R. Murray Lark, Heather A. Stewart, Dayton Dove, Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches computer science symposium in russia. ,vol. 84, pp. 107- 119 ,(2014) , 10.1016/J.CSR.2014.05.004
Anna-Leena Downie, Mikael von Numers, Christoffer Boström, Influence of model selection on the predicted distribution of the seagrass Zostera marina Estuarine Coastal and Shelf Science. ,vol. 121, pp. 8- 19 ,(2013) , 10.1016/J.ECSS.2012.12.020