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Ecological niche modelling tool for aquatic life population distribution using maximum entropy model

机译:基于最大熵模型的水生生物种群分布的生态位建模工具

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The declining trend of the population of certain marine organisms may be due to lack of management where juveniles are being caught and grown out. In the Philippines, among the marine species affected by this practice is the Plectropomus leopardus, locally known as Lapu-Lapu. Identifying the factors that contribute to the persistence of Lapu-Lapu would be a great help in the thrust of protecting threatened species in the Philippines. Niche Modeling has been widely used in determining the distributions of species and its suitable habitat based on the environmental conditions in which species populations could be maintained. Thus, modeling techniques that require presence-only data such as Maximum Entropy Models (Maxent) have been widely used to predict habitat distributions. This system aims to predict the current and future potential population distribution of the Lapu-Lapu species, using Maxent modelling. PiLNiMo is an application designed to predict the population distribution of Plectropomus leopardus based on the mean sea level pressure, mean temperature, and thunderstorm occurrence.
机译:某些海洋生物种群数量下降的趋势可能是由于缺乏管理,导致未成年人被捕捞和长成。在菲律宾,受这种习俗影响的海洋物种有Plectropomus leopardus,在当地被称为Lapu-Lapu。查明导致Lapu-Lapu持续存在的因素,将对保护菲律宾受威胁物种的目的有很大帮助。生态位建模已被广泛用于根据可以维持物种种群的环境条件来确定物种的分布及其合适的栖息地。因此,要求仅存在数据的建模技术(例如最大熵模型(Maxent))已被广泛用于预测栖息地分布。该系统旨在利用Maxent模型预测Lapu-Lapu物种当前和未来的潜在种群分布。 PiLNiMo是一款应用程序,旨在根据平均海平面压力,平均温度和雷暴发生情况来预测豹子的种群分布。

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