Indian Journal of Geo-Marine Sciences最新文献_第6页

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i02.38492

S. K. Roul, S. K. Pradhanb, S. Ghoshc, P. Rohitd

{"title":"Systematics of nemipterid fishes (Perciformes: Nemipteridae) of Odisha coast, north-western Bay of Bengal with first records of four species","authors":"S. K. Roul, S. K. Pradhanb, S. Ghoshc, P. Rohitd","doi":"10.56042/ijms.v51i02.38492","DOIUrl":"https://doi.org/10.56042/ijms.v51i02.38492","url":null,"abstract":"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.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"59 4 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88067129","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: 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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i09.2337

S. Stephen, V. K. Yadav, R. Kumar

{"title":"Comparative study of statistical and machine learning techniques for fish production forecasting in Andhra Pradesh under climate change scenario","authors":"S. Stephen, V. K. Yadav, R. Kumar","doi":"10.56042/ijms.v51i09.2337","DOIUrl":"https://doi.org/10.56042/ijms.v51i09.2337","url":null,"abstract":"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.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"79 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88432584","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: 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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i07.43639

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

Indian Journal of Geo-Marine 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

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.47146

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i06.41458

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i07.34729

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.39410

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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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i08.43044

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

Indian Journal of Geo-Marine Sciences Pub Date : 2022-01-01 DOI: 10.56042/ijms.v51i10.2929

引用次数: 0