GIS-based species distribution modeling of invasive Mnemiopsis leidyi in the southern caspian sea using satellite imageries

IF 4.1 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-03-01 Epub Date: 2025-01-10 DOI:10.1016/j.ejrs.2024.12.002
Mahdieh Abadijoo , Mehdi Gholamalifard , Mehdi Mokhtarzade , Parviz Jokar , Tiit Kutser , Andrey G. Kostianoy , Aleksander V. Semenov
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Abstract

Due to its unique variety of species, the Caspian Sea has great ecological-economic values and the people living on its coasts use this environmental asset as a source of income. Mnemiopsis leidyi’s invasion of this ecosystem in 1999, however, has led to instability of the ecosystem and decreased access to the services provided by it causing a decline in the population of Kilka fish and in the fishing industry. Accordingly, the present study attempted to carry out spatial modeling of M. leidyi using Multi-Criteria Evaluation (MCE) and Maximum Entropy (MaxEnt) models in summer and autumn. The main goal of comparing these two models was to find the best distribution sites of M. leidyi as an inhibiting species for the ecosystem services. The modelling was based on the following variables including: chlorophyll a concentration, photosynthetic active radiation (PAR), water temperature, turbidity, concentration of nitrogen, phosphorus, oxygen, salinity, sea level anomaly, depth, distance from the coast and bottom slope on Mazandaran coasts of Iran in the southern basin of the Caspian Sea. The findings indicated that the most favorable distribution of M. leidyi was in summer near the central (sub-region N 6563 in Behshahr and 6463 in Babolsar (and eastern coasts (sub-region N 6663 in Noshahr), and the least favorable distribution was near the western coast (sub-region N 6163 in Ramsar). In autumn, however, all the coastal zones had a high level of favorability for the viability of Mnemiopsis leidyi. ‘Distance from the coast’ and ‘depth’ were identified as the most important variables explaining the variation in the distribution of M. leidyi and helping to identify the favorable areas for the viability of M. leidyi in summer and autumn. The obtained results can help to understand better the behavior of M. leidyi, its spatial and temporal distribution, as well as to improve the ecosystem services in the southern basin of the Caspian Sea including in location of cage aquaculture sites.
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基于gis的里海南部入侵雷氏记忆藻物种分布卫星模拟
由于其独特的物种多样性,里海具有巨大的生态经济价值,生活在里海沿岸的人们将这种环境资产作为收入来源。然而,leidyi在1999年入侵了这个生态系统,导致了生态系统的不稳定,并减少了对它提供的服务的获取,导致基尔卡鱼的数量和渔业的减少。因此,本研究尝试采用多准则评价(MCE)和最大熵(MaxEnt)模型对夏、秋两季莱茵的空间分布进行建模。比较这两种模型的主要目的是寻找作为生态系统服务抑制物种的雷氏菌的最佳分布点。该模型基于以下变量,包括:叶绿素a浓度、光合有效辐射(PAR)、水温、浊度、氮、磷、氧浓度、盐度、海平面异常、深度、距离海岸的距离和里海南部盆地伊朗Mazandaran海岸的底部坡度。结果表明:夏季,白沙赫尔地区n6563分区和巴波尔萨尔地区6463分区以及东部沿海地区Noshahr地区n6663分区是白沙赫尔地区最有利的分布区域,西部沿海地区拉姆萨尔地区n6163分区是白沙赫尔地区最不利的分布区域。然而,在秋季,所有沿海地区对雷氏记忆藻的生存能力都有很高的好感度。“离海岸的距离”和“深度”被认为是解释白僵菌分布变化的最重要变量,有助于确定夏季和秋季白僵菌生存的有利区域。研究结果有助于更好地了解里海南部海盆雷氏沼虾的习性及其时空分布,并有助于改善包括网箱养殖地点选址在内的生态系统服务。
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来源期刊
CiteScore
8.10
自引率
0.00%
发文量
85
审稿时长
48 weeks
期刊介绍: The Egyptian Journal of Remote Sensing and Space Sciences (EJRS) encompasses a comprehensive range of topics within Remote Sensing, Geographic Information Systems (GIS), planetary geology, and space technology development, including theories, applications, and modeling. EJRS aims to disseminate high-quality, peer-reviewed research focusing on the advancement of remote sensing and GIS technologies and their practical applications for effective planning, sustainable development, and environmental resource conservation. The journal particularly welcomes innovative papers with broad scientific appeal.
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