Climate change is an impending disaster which is of pressing concern more and more every year. Countless efforts have been made to study the long-term effects of climate change on agriculture, land resources, and biodiversity. Studies involving marine life, however, are less prevalent in the literature. Our research studies the available data on the population of mangroves (groups of shrubs or small trees living in saline coastal intertidal zones) and their correlations to climate change variables, specifically, temperature, heat content, various sea levels, and sea salinity. Mangroves are especially relevant to oceanic ecosystems because of their protective nature towards other marine life, as well as their high absorption rate of carbon dioxide, and their ability to withstand varying levels of salinity of our coasts. The change in global distribution was studied based on global distributions of the previous year, as well as ocean heat content, salinity, temperature, halosteric sea level, thermosteric sea level, and total steric sea level. The best performing predictive model was a support vector regressor, which yielded a correlation coefficient of 0.9998.
翻译:气候变化是一个迫在眉睫的灾害,它每年越来越引起紧迫的关注。我们为研究气候变化对农业、土地资源和生物多样性的长期影响作出了无数努力。但是,涉及海洋生物的研究在文献中不那么普遍。我们的研究研究红树林(生活在盐碱沿海潮间带的灌木或小树群)的现有数据及其与气候变化变量的相关性,特别是温度、热含量、各种海平面和海水盐度。红树林与其他海洋生态系统特别相关,因为它们具有保护性,对其他海洋生物具有保护性,而且它们吸收二氧化碳的速度很高,能够承受我们海岸不同程度的盐度。全球分布的变化是根据上一年的全球分布,以及海洋热量、盐度、温度、海拔海平面、热海平面和总海平面等值、最佳的预测模型是支持性矢量递减器,产生0.998的相对系数。