Climatic oscillations effect on the yellowfin tuna (Thunnus albacares) Spanish captures in the Indian Ocean

The yellowfin tuna (Thunnus albacares) (YFT) is among the eight marine species with the highest catches globally. The Spanish purse seine freezer fleet operating in the Indian Ocean is one of the most important YFT fishing fleets in the world. The South Oscillation Index (SOI), Pacific Decadal Oscillation (PDO), and Indian Ocean Dipole (IOD) are interrelated, and have combined effects in the Indian Ocean. Moreover, Madden–Julian Oscillation (MJO) is the dominant component of intraseasonal variability in the tropical Indian and Pacific oceans where the sea surface is warm. The main aim of present study is to understand the effect of these four climatic oscillations on Spanish purse seine YFT catches in the Indian Ocean. The ultimate goal is to estimate the specific time lag of the effect of each climatic oscillation on the YFT catches for management purposes. To estimate this, we adjusted different General Additive Models between the response variable (corrected YFT catches per unit of effort per year), compared to a combination of SOI, PDO, IOD, and MJO lagged up to 8 years. Our results suggest that there is a lagged effect modulated mainly by PDO-SOI, which could be related to a good recruitment, larval survival, or improved spawning. Thus, negative PDO phase (or positive SOI phase) lagged between 3 and 6 years could favor future stock abundance, while positive PDO phase (or negative SOI phase) lagged 3 or 6 years could negatively affect future stock abundance.Versión del edito

Prediksi Sebaran Jenis Ikan dengan Menggunakan Jaringan Saraf Tiruan - Algoritma Genetika

Badan Informasi Geospasial (BIG) menyatakan bahwa garis pantai Indonesia memiliki total sepanjang 99.093 kilometer, namun terdapat permasalahan dalam dunia kelautan dan perikanan. Permasalahannya adalah informasi keberadaan ikan masih belum ada, sehingga dibutuhkan suatu perancangan prediksi untuk menginformasikan adanya keberadaan ikan. Tujuan penelitian ini adalah memperoleh algoritma prediktor terbaik untuk penentuan keberadaan ikan dan menghitung prediksi berat 3 jenis ikan (ikan biji nangka, grobyak, dan ikan cucut) dengan menggunakan algoritma prediktor terbaik di pantai Kenjeran secara real time. Penelitian ini diusulkan ada metode untuk memprediksi keberadaan ikan, yaitu JST dan JST-AG. Data sekunder yang didapatkan berasal dari NOAA, BMKG, dan PPN Brondong. Data sekunder independen dan dependen diuji missing data, outlier, dan korelasi. Kemudian JST dan JST-AG dirancang arsitekturnya. Arsitektur yang terbaik (RMSE terkecil) digunakan untuk memprediksi real time di pantai Kenjeran. Arsitektur terbaik didapatkan pada JST-AG dengan input berupa suhu permukaan laut, salinitas, dan curah hujan. Gabungan JST-AG dengan hidden node yang dipasang sebanyak 3, 1, dan 9 unit mampu menurunkan RMSE masing-masing ikan biji nangka, grobyak, dan cucut sebesar 351,88 kg; 37,99 kg; dan 1118,53 kg. Hasil berat prediksi ikan pada tanggal 1 Juli 2018 di pantai Kenjeran adalah ikan biji nangka, grobyak, dan cucut masing-masing sebanyak 0 kg; 3986,05 kg; dan 0 kg. ======================================================================================================== The Geospatial Information Agency (BIG) stated that the coastline of Indonesia has 99,093 kilometers, but there is problem in the world of marine and fisheries. The problem is the presence of fish information is not there, so it takes a prediction design to inform the existence of fish. The aim of this research is to obtain best predictor algorithm for determining fish existence and calculate the prediction of 3 species of fish (biji nangka, grobyak, and cucut) by using the best predictor algorithm at Kenjeran beach in real time. This research proposed there are methods to predict the existence of fish, namely JST and JST-AG. Secondary data obtained from NOAA, BMKG, and PPN Brondong. Independent secondary data and dependent tested missing data, outlier, and correlation. Then JST and JST-AG designed the architecture. The best architecture (the smallest RMSE) is used to predict real time on the Kenjeran beach. The best architecture is found in JST-AG with input in the form of sea surface temperature, salinity, and rainfall. Combined JST-AG with hidden nodes of 3, 1, and 9 units are able to decrease RMSE of each biji nangka, grobyak, and cucut fish of 351,88 kg; 37.99 kg; and 1118.53 kg. The results of fish prediction weight on July 1, 2018 at Kenjeran beach are jackfruit, grobyak and cucut fish of 0 kg each; 3986.05 kg; and 0 kg

Modeling the impacts of ocean warming and acidification on marine fish and ecosystems in the Barents Sea

Marine ecosystems are known to be climatea dependent, and impacts from progressing global climate change are increasingly observed and anticipated to intensify in the course of the 21st century. Under continuously high anthropogenic greenhouse gas emissions, drivers such as ocean warming, ocean acidification, and deoxygenation will increasingly affect marine ecosystems and the provision of marine ecosystem services to human societies. Environmental drivers affect organismal processes directly, but also have indirect effects through biotic interactions. Human societies are dependent on the ecosystem services provided by the oceans, and have limited adaptive capacities to changes in ecosystem service provision. An integrated evaluation of marinea human systems is thus necessary to understand coming changes, and is increasingly pursued by recent ecosystema based and integrated assessment and management approaches. The uncertainty of future climate change impacts and the interactions with the increasing anthropogenic pressures on marine systems need to be addressed. Ecological models are important tools to provide this integration of data and processes, as they can put experimental and observational data into context, and enable us to move beyond simple extrapolations of future states and experiences, creating an understanding of the changes in marine ecosystems anticipated in the future. While a wide variety of modeling approaches is available to answer specific ecological questions, a quantitative integration over different hierarchical levels, and different types of data and knowledge, is rarely achieved. The presented thesis revolves around a case study from the Barents Sea, which is among the marine regions with the earliest impacts of ocean acidification and warming expected and already observed, providing an integrative view of the impacts of these drivers on marine ecosystems and the provision of ecosystem services in the focus region. The work was built upon a thorough general analysis of available modeling approaches for modeling climate change impacts on marine fish populations (Paper 1). This analysis assessed capacities of the existing modeling approaches and recent applications, and revealed processes which need to be incorporated better in the light of recent experimental and observational results. A modeling framework to address the specific questions in the Barents Sea region was developed based on participation of stakeholders gained during personal interviews and two workshops (Paper 2). This served to incorporate their concerns and knowledge into the model structure and identify potential adaptation options for the stakeholder groups. To address one specific scientific question of high importance and uncertainty, the anticipated impacts on fish stock recruitment, an early life stage model was developed which incorporates the experimentally quantified effects of ocean acidification and warming on Atlantic cod eggs and larvae (Paper 3). This model offers a new approach to integrating empirical data on environmental and food-web drivers into recruitment projections of marine fish. Finally, an integrative fooda web model based on the structure developed in the stakeholder work and on current processa based understanding was parameterized with empirical data and estimates of organismal rates, to simulate the dynamic fluctuations in the Barents Sea food web and explore potential shifts in composition and dynamics under ocean warming and ocean acidification (Paper 4). In the thesis discussion, the papers are summarized and put into context, and the implications for the user groups in the region and possible societal adaptation options to the projected changes are highlighted. Impacts on fisheries, cultural and recreational ecosystem services, associated adaptation options for stakeholder groups, and interactions with other uses of the ocean system and expected changes under climate change are delineated. To advance ecosystema based governance in the area, the limitations in adaptation options of some user groups point to the need to better consider these groups in decisions and regulations concerning fisheries and marine areas. The Barents Sea study thus exemplifies the possibilities to integrate experiments, observations and stakeholder input into integrative assessments of marine ecosystems under climate change. Based on the insights gained from processa based modelling and stakeholder participation, it is described how understanding and projections of climate change impacts on marinea human systems can be advanced, pointing out the importance of improved interdisciplinary cooperation and communication and an integrative perspective to link across scales and subsystems a tasks to which purposefully designed models can contribute substantially

Modeling the impacts of ocean warming and acidification on marine fish and ecosystems in the Barents Sea

Marine ecosystems are known to be climatea dependent, and impacts from progressing global climate change are increasingly observed and anticipated to intensify in the course of the 21st century. Under continuously high anthropogenic greenhouse gas emissions, drivers such as ocean warming, ocean acidification, and deoxygenation will increasingly affect marine ecosystems and the provision of marine ecosystem services to human societies. Environmental drivers affect organismal processes directly, but also have indirect effects through biotic interactions. Human societies are dependent on the ecosystem services provided by the oceans, and have limited adaptive capacities to changes in ecosystem service provision. An integrated evaluation of marinea human systems is thus necessary to understand coming changes, and is increasingly pursued by recent ecosystema based and integrated assessment and management approaches. The uncertainty of future climate change impacts and the interactions with the increasing anthropogenic pressures on marine systems need to be addressed. Ecological models are important tools to provide this integration of data and processes, as they can put experimental and observational data into context, and enable us to move beyond simple extrapolations of future states and experiences, creating an understanding of the changes in marine ecosystems anticipated in the future. While a wide variety of modeling approaches is available to answer specific ecological questions, a quantitative integration over different hierarchical levels, and different types of data and knowledge, is rarely achieved. The presented thesis revolves around a case study from the Barents Sea, which is among the marine regions with the earliest impacts of ocean acidification and warming expected and already observed, providing an integrative view of the impacts of these drivers on marine ecosystems and the provision of ecosystem services in the focus region. The work was built upon a thorough general analysis of available modeling approaches for modeling climate change impacts on marine fish populations (Paper 1). This analysis assessed capacities of the existing modeling approaches and recent applications, and revealed processes which need to be incorporated better in the light of recent experimental and observational results. A modeling framework to address the specific questions in the Barents Sea region was developed based on participation of stakeholders gained during personal interviews and two workshops (Paper 2). This served to incorporate their concerns and knowledge into the model structure and identify potential adaptation options for the stakeholder groups. To address one specific scientific question of high importance and uncertainty, the anticipated impacts on fish stock recruitment, an early life stage model was developed which incorporates the experimentally quantified effects of ocean acidification and warming on Atlantic cod eggs and larvae (Paper 3). This model offers a new approach to integrating empirical data on environmental and food-web drivers into recruitment projections of marine fish. Finally, an integrative fooda web model based on the structure developed in the stakeholder work and on current processa based understanding was parameterized with empirical data and estimates of organismal rates, to simulate the dynamic fluctuations in the Barents Sea food web and explore potential shifts in composition and dynamics under ocean warming and ocean acidification (Paper 4). In the thesis discussion, the papers are summarized and put into context, and the implications for the user groups in the region and possible societal adaptation options to the projected changes are highlighted. Impacts on fisheries, cultural and recreational ecosystem services, associated adaptation options for stakeholder groups, and interactions with other uses of the ocean system and expected changes under climate change are delineated. To advance ecosystema based governance in the area, the limitations in adaptation options of some user groups point to the need to better consider these groups in decisions and regulations concerning fisheries and marine areas. The Barents Sea study thus exemplifies the possibilities to integrate experiments, observations and stakeholder input into integrative assessments of marine ecosystems under climate change. Based on the insights gained from processa based modelling and stakeholder participation, it is described how understanding and projections of climate change impacts on marinea human systems can be advanced, pointing out the importance of improved interdisciplinary cooperation and communication and an integrative perspective to link across scales and subsystems a tasks to which purposefully designed models can contribute substantially

Renaissance in Fisheries: Outlook and Strategies - Book of Abstracts 9th Indian Fisheries Forum, December 19-23, 2011, Chennai, India

The Asian Fisheries Society – Indian Branch (AFSIB) since its inception in 1986, has been providing a platform for discussion at the national level on issues related to research, development, education and policies by organizing Indian Fisheries Forum (IFF) every three years in different parts of the country. The 9th Indian Fisheries Forum (9th iff) will be hosted by the Central Marine Fisheries Research Institute (CMFRI), at Chennai during 19-23 December 2011. The main theme of the 9th iff is “Renaissance in Fisheries: Outlook & Strategies”. It would have a comprehensive look for the fisheries and aquaculture sectors, for achieving greater synergy among the stakeholders and planning strategies for capture fisheries and aquafarming to build higher levels of sustainability and profitability. The forum would also address the issues of impact of climate change and its mitigation, resource constraint and species diversification for the expansion of fish production activity; and encourage young scientists to undertake need-based and resource specific research. An international symposium sponsored by the Bay of Bengal Large Marine Ecosystem (BoBLME) is scheduled to be held during the forum on 21 December, 2011 with theme: Bay of Bengal–Ecosystem Approach to Fisheries Management

2018, UMaine News Press Releases

This is a catalog of press releases put out by the University of Maine Division of Marketing and Communications between March 2, 2018 and December 31, 2018

New Frontiers in the Application of Stable Isotopes to Ecological and Ecophysiological Research

This Research Topic aims to present cutting-edge applications of stable isotope methods to animal and plant ecology and ecophysiology.https://digitalcommons.odu.edu/biology_books/1020/thumbnail.jp

2017, UMaine News Press Releases

This is a catalog of press releases put out by the University of Maine Division of Marketing and Communications between January 3, 2017 and December 29, 2017