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Mapping distribution of Rastrelliger kanagurta in the exclusive economic zone (EEZ) of Malaysia using maximum entropy modeling approach

机译:使用最大熵建模方法在马来西亚独家经济区(EEZ)中Rastrelliger Kanagurta的映射分布

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The coupling of fishing locations for R. kanagurta obtained from SEAFDEC and multi-sensor satellite imageries of oceanographic variables; sea surface temperature (SST), sea surface height (SSH) and chl-a concentration (chl-a) were utilized to evaluate the performance of maximum entropy (MaxEnt) models for R. kanagurta fishing ground for prediction. Besides, this study was conducted to identify the relative percentage contribution of each environmental variable considered in order to describe the effects of the oceanographic factors on the species distribution in the study area. The potential fishing grounds during intermonsoon periods; April and October 2008-2009 were simulated separately and covered the near-coast of Kelantan, Terengganu, Pahang and Johor. The oceanographic conditions differed between regions by the inherent seasonal variability. The seasonal and spatial extents of potential fishing grounds were largely explained by chl-a concentration (0.21-0.99 mg/m~3 in April and 0.28-1.00 mg/m~3 in October), SSH (77.37-85.90 cm in April and 107.60-108.97 cm in October) and SST (30.43-33.70 °C in April and 30.48-30.97 °C in October). The constructed models were applicable and therefore they were suitable for predicting the potential fishing zones of R. kanagurta in EEZ. The results from this study revealed MaxEnt's potential for predicting the spatial distribution of R. kanagurta and highlighted the use of multispectral satellite images for describing the seasonal potential fishing grounds.
机译:从SEAFDEC和海洋变量的多传感器卫星图像获得R. kanagurta的钓鱼地点的耦合;海面温度(SST),海面高度(SSH)和叶绿素a浓度(叶绿素a)被用来评估的最大熵(最大墒)模型R. kanagurta渔场用于预测的性能。此外,该研究旨在查明为了描述在研究区物种分布的海洋因素的影响,考虑每一个环境变量的相对百分比贡献。在intermonsoon时期潜在的渔场;四月和十月2008 - 2009年分别模拟和覆盖吉兰丹,登嘉楼,彭亨和柔佛的近海岸。通过固有的季节性变化的区域之间不同的海洋条件。潜在渔场的季节性和空间范围主要是由叶绿素a浓度解释(0.21-0.99毫克/米〜3在四月和0.28-1.00毫克/米〜3在10月),SSH(77.37-85.90厘米四月和107.60-108.97厘米10月)和SST(30.43-33.70℃下,在4月和十月30.48-30.97℃)。构建的模型是适用的,因此它们适合用于预测专属经济区R. kanagurta的潜在渔区。这项研究的结果显示最大墒的潜力预测R. kanagurta的空间分布,并强调使用多光谱卫星图像的描述季节性潜在的渔场。

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