Harisankar Ray , Nilanjan Das , Soumyadip Pal , Subodh Chandra Pal , Sudipto Mandal
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引用次数: 0
Abstract
Mangrove ecosystems are blessed with molluscs that are a key component as bioindicator species and measure the environment's health. The most prevalent and most sensitive bioindicator species in mangroves worldwide is Telescopium telescopium. Habitat loss is the evitable cause of species extinction, however, the species distribution and loss (here, T. telescopium) due to climate change factors throughout the globe is still not clear. The maximum entropy species distribution model (MaxEnt) was used to investigate the present habitat suitability distribution of T. telescopium population. Based on the results, T. telescopium showed high potential distribution in South-East Asia which is dominated by mangrove regions. The MaxEnt model showed an AUC (area under the curve, "Sensitivity vs. Specificity") value of 0.962, indicating its high accuracy. The Jackknife test revealed the temperature as the primary environmental factor influencing T. telescopium distribution in mangrove sediments (Regularised raining Gain=1.43). The distribution of T. telescopium was positively correlated with the distribution of mangroves worldwide (R2=62.49 %) using GIS-based regression analysis. A global circulation model was conducted using the temperature data from the Coupled Model Intercomparison Project-6 for the year 2100. The results showed that the population of T. telescopium was expected to decline steadily and shortly with the temperature rise. Here, the research showed that temperature, elevation, and rainfall were also responsible variables that influenced the distribution and loss of T. telescopium globally besides mangrove or habitat loss.
红树林生态系统中有软体动物,它们是生物指示物种的关键组成部分,可以衡量环境的健康状况。在世界范围内,红树林中最常见和最敏感的生物指示物种是伸缩木。生境丧失是物种灭绝的必然原因,但气候变化因素导致的物种在全球范围内的分布和损失(这里指的是T.望远镜)尚不清楚。采用最大熵种分布模型(MaxEnt)研究了柽桐种群的生境适宜性分布现状。在以红树林为主的东南亚地区,柽柳具有较高的分布潜力。MaxEnt模型的AUC(曲线下面积,“Sensitivity vs. Specificity”)值为0.962,表明该模型具有较高的准确性。Jackknife试验结果表明,温度是影响柽柳在红树林沉积物中分布的主要环境因子(正则降雨增益=1.43)。基于gis的回归分析表明,柽柳的分布与世界红树林的分布呈显著正相关(R2=62.49 %)。利用耦合模式比对项目-6的2100年气温资料建立了全球环流模式。结果表明,随着气温的升高,柽柳种群数量呈稳定而短暂的下降趋势。研究表明,除了红树林和栖息地的丧失外,温度、海拔和降雨量也是影响套筒柽柳在全球分布和损失的主要变量。
期刊介绍:
REGIONAL STUDIES IN MARINE SCIENCE will publish scientifically sound papers on regional aspects of maritime and marine resources in estuaries, coastal zones, continental shelf, the seas and oceans.