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Systematics of nemipterid fishes (Perciformes: Nemipteridae) of Odisha coast, north-western Bay of Bengal with first records of four species 孟加拉湾西北部奥里萨邦海岸奈米纲鱼类的系统学(动作目:奈米纲),有四种的首次记录
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i02.38492
S. K. Roul, S. K. Pradhanb, S. Ghoshc, P. Rohitd
The north-eastern coast of India is rich in marine floral and faunal biodiversity, yet relatively less studied. This study aims to review and update the species diversity of nemipterids along the north-eastern coast of India, particularly Odisha, and provide a simple key for easy identification. An ichthyofaunal survey piloted during 2017 – 2020 along the Odisha coast confirmed the occurrence of seven valid species of nemipterids namely, Nemipterus bipunctatus (Valenciennes, 1830), N. japonicus (Bloch, 1791), N. nematophorus (Bleeker, 1854), N. peronii (Valenciennes, 1830), N. randalli Russell, 1986, Parascolopsis aspinosa (Rao & Rao, 1981), and Scolopsis vosmeri (Bloch, 1792), adding four species to the previously annotated checklist of 2007. The present paper reports the first record of four species namely, N. nematophorus , N. peronii , N. randalli , and P. aspinosa from the Odisha coast in the Bay of Bengal. Based on the findings of the present study and available literature, a key to the reported and identified species of the family Nemipteridae from the Odisha coast was developed with a detailed description of taxonomic characters for easy identification.
印度东北海岸拥有丰富的海洋植物和动物生物多样性,但研究相对较少。本研究旨在回顾和更新印度东北部沿海,特别是奥里萨邦的蛇足类物种多样性,并提供一个简单的识别钥匙。2017 - 2020年在奥里萨邦沿海进行的鱼类调查证实了7种有效的线虫属物种的存在,即双刺线虫(Nemipterus bipunctatus, valciennes, 1830), N. japonicus (Bloch, 1791), N. nematophorus (Bleeker, 1854), N. peronii (valciennes, 1830), N. randalli Russell, 1986, aspinosa Parascolopsis (Rao & Rao, 1981)和Scolopsis vosmeri (Bloch, 1792),在2007年之前注释的清单中增加了4种。本文报道了在孟加拉湾奥里萨邦海岸首次记录到的N. nematophorus、N. peronii、N. randalli和P. aspinosa四种。根据本研究结果和文献资料,编制了印度奥里萨邦(Odisha)沿海已报道和鉴定的Nemipteridae科昆虫分类目录,并详细描述了分类特征,以方便鉴定。
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引用次数: 0
Comparative study of statistical and machine learning techniques for fish production forecasting in Andhra Pradesh under climate change scenario 气候变化情景下安得拉邦鱼类产量预测的统计和机器学习技术比较研究
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i09.2337
S. Stephen, V. K. Yadav, R. Kumar
The present study emphasizes the forecast of Andhra Pradesh's total marine fish production and the catch of commercially important fishes, viz ., Indian Mackerel, Oil Sardine, Horse Mackerel, and Lesser Sardines for the next 5 years by different statistical and machine learning approaches under climate change scenario. Forecasting is done with and without the inclusion of climatic and environmental parameters in different models. Exogenous variables, i.e ., climatic parameters such as Sea Surface Temperature (SST), wind speed, and environmental parameters such as Chlorophyll- a , diffusion attenuation coefficient, and Photo-synthetically Active Radiation (PAR), were used in the model. The following models like Non-linear Autoregressive (NAR) Artificial Neural Network (ANN) (NNAR-ANN), Auto-Regressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition based Artificial Neural Network (EMD-ANN), are used to predict the fish catch data using time series quarterly catch data of commercially important fishes and total fish catch without the inclusion of climatic and environmental variables. Auto Regressive Integrated Moving Average method with inclusion of exogenous variables (ARIMAX) and Non-Linear Auto Regression with exogenous variables (NARX) models were used to forecast along with quarterly average data of environmental and climatic variables. The model developed predicts the total fish catch and also the catch of commercially important fish for the next 20 quarters. The developed model forecasts are compared based on the error measure, i.e ., MAPE (Mean Absolute Percentage Error), and the results showed that the NARX model outperformed other models like ARIMAX, ARIMA, NNAR-ANN, and EMD-ANN. Implementation of management strategies considering the impact of climate change on fisheries will enhance sustainable fisheries and pave a pathway for the mitigation of climate change.
本研究强调在气候变化情景下,通过不同的统计和机器学习方法预测未来5年安得拉邦的海洋鱼类总产量和商业重要鱼类(即印度鲭鱼、油沙丁鱼、马鲛鱼和小沙丁鱼)的捕捞量。在不同的模型中包括或不包括气候和环境参数的情况下进行预测。模型中使用了外源变量,如海表温度(SST)、风速等气候参数和叶绿素- a、扩散衰减系数、光合有效辐射(PAR)等环境参数。采用非线性自回归(NAR)人工神经网络(ANN) (NNAR-ANN)、自回归综合移动平均(ARIMA)、基于经验模态分解的人工神经网络(EMD-ANN)等模型,在不考虑气候和环境变量的情况下,利用商业重要鱼类的时间序列季度捕捞数据和总捕鱼量进行预测。利用含外源变量的自回归综合移动平均法(ARIMAX)和带外源变量的非线性自回归(NARX)模型,结合环境和气候变量的季度平均数据进行预测。该模型预测了未来20个季度的总捕鱼量和重要商业鱼类的捕鱼量。基于误差度量MAPE (Mean Absolute Percentage error)对模型预测结果进行比较,结果表明NARX模型的预测效果优于ARIMAX、ARIMA、NNAR-ANN和EMD-ANN等模型。执行考虑到气候变化对渔业影响的管理战略将加强可持续渔业,并为减缓气候变化铺平道路。
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引用次数: 0
Status and importance of research on marine sponges in India with special reference to sponges on coral reefs 印度海洋海绵研究的现状和重要性,特别是珊瑚礁上的海绵
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i07.43639
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引用次数: 1
Occurrence of a rare lambridiform fish, Desmodema polystictum (Ogilby, 1898) from Andaman coast of India 在印度安达曼海岸发现一种罕见的蓝鳍鱼,多鳞鳞鱼(Ogilby, 1898)
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i03.39499
M. Rajeeshkumar, K. S. Sumoda, R. Rajeeva, K. Aneesh, Kumarb, M. Hashima, N. Sarvananea
The present study reveals the first documented distribution record of Desmodema polystictum (Ogilby, 1898) from the Andaman coast, eastern Indian Ocean. The species is rare in nature and the knowledge regarding the taxonomy, ecology and distribution is still limited. Only few records have been come from the Indian Ocean. The study is based on a single specimen (34 cm total length) collected from the northeastern region of Andaman Islands, India. The present record of D. polystictum from Andaman waters provides greater latitude and depth distribution than previously acknowledged from the Indian Exclusive Economic zone. Along with the comparative morphometric and meristic data from previous reports, description of present specimen as well as distributional information are also provided and discussed.
本研究揭示了在东印度洋安达曼海岸首次有文献记载的Desmodema polystictum (Ogilby, 1898)的分布记录。该物种在自然界中十分罕见,对其分类、生态和分布的认识仍然有限。只有很少的记录来自印度洋。该研究基于从印度安达曼群岛东北部地区采集的单个标本(总长度34厘米)。目前记录的安达曼水域的d.p oltictum提供了比以前承认的印度专属经济区更大的纬度和深度分布。除了先前报道的比较形态计量学和分生统计学数据外,还提供和讨论了现有标本的描述以及分布信息。
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引用次数: 0
Observations on the mortality of olive ridley sea turtles (Lepidochelys olivacea) and associated factors along Ganjam coast, east coast of India 印度东海岸甘贾姆海岸橄榄蠵龟(Lepidochelys olivacea)死亡率及其相关因素的观察
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.47146
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引用次数: 0
High occurrence of Jellyfish (Catostylus perezi, Ranson 1945) in proximity to industrial development, Gulf of Kutch/ Kachchh, India 印度Kutch/ Kachchh湾工业发展地区水母(Catostylus perezi, Ranson 1945)高发
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i06.41458
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引用次数: 0
Effect of different recycled fisheries and domestic waste compost on the production of Spirulina platensis 不同再生渔业和生活垃圾堆肥对螺旋藻产量的影响
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i07.34729
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引用次数: 0
Acropora teres (Verrill, 1866): in the verge of regional vulnerability from Andaman and Nicobar Islands, India Acropora teres (Verrill, 1866):位于印度安达曼和尼科巴群岛区域脆弱性的边缘
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.39410
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引用次数: 0
Characterization and biomedical application of Tetradecamethylcycloheptasiloxane, a silicone-type biosurfactant produced by Streptomyces castaneoglobisporus AJ9 isolated from solar salt works 从太阳盐厂分离的castaneoglobisporus链霉菌AJ9产硅型生物表面活性剂十四甲基环庚硅氧烷的表征及生物医学应用
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.43044
{"title":"Characterization and biomedical application of Tetradecamethylcycloheptasiloxane, a silicone-type biosurfactant produced by Streptomyces castaneoglobisporus AJ9 isolated from solar salt works","authors":"","doi":"10.56042/ijms.v51i08.43044","DOIUrl":"https://doi.org/10.56042/ijms.v51i08.43044","url":null,"abstract":"","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89519057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs 用于远程海洋浮标的微能量收集器,使用压电传感器和超级球
IF 0.5 4区 地球科学 Q4 Earth and Planetary Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i10.2929
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引用次数: 0
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Indian Journal of Geo-Marine Sciences
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