scholarly journals Decoupling Seascapes

2020 ◽  
Vol 11 (1) ◽  
pp. 27-43
Author(s):  
Shingo Hamada

The roles played in fishery resource management by the nonhuman species that coevolve with humans are often marginalized in both discourse and practice. Built on existing reviews of the multispecies ethnography of maritime conservation, domestication, and marine biology, this article aims to reconceptualize the politics of difference in stock enhancement. By examining the herring stock enhancement program in Japan as an assemblage of multispecies inter- and intra-action in the context of marine science and seascaping, this article recontextualizes fisheries management and crosses the methodological and ontological borders in maritime studies. The article shows that multispecies ethnography serves as a heuristic means to describe the co-constitution of seascapes, which are beings, things, and bodies of information and processes that shape marine surroundings, or what fisheries biologists and fisheries resource managers tend to overlook as mere background.

2017 ◽  
Vol 3 (2) ◽  
pp. 213
Author(s):  
Fanny YF Young

Business adaptability and adjustability is highly important for the business development. It was suggested human resource managers and executives could pay an important contribution to this area. The aim of this study was to search the literature to see how the human resource managers and executives can improve the business adaptability and change of the companies. The internet was searched using various search engines like Google Scholars, Proquest and Google using keywords like human resource management, business adaptability and adjustability and business resilience. All selected papers were individually studied and any relevant materials were identified. Result showed that there were roles of human resource managers and executives in building business adaptability and adjustability such as acting as strategic partners, employee sponsors or advocates, change mentors and there were contributions which include transition the human resource department to a profitability factor; making profit to the company and engaging in people-focused approach to business continuity planning for crisis.


2020 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Ziaul Haq Nawawi ◽  
Natsir Nessa ◽  
Dewi Yanuarita ◽  
Muhammad Yusfi Yusuf ◽  
Sainal Sainal

The research aims to record the types of shark utilization in Selayar Islands Regency, explore the spread and shark status of the Regency of Selayar Islands, and examine the sustainability status of shark utilization by fisherman in Selayar Islands. The research method was based on the assessment of EAFM indicator assessments to assess the performance of shark resource management on Tarupa Island, Rajuni Island, Polassi Island and Kayuadi Island Selayar Islands Regency with an indicator approach involving two domains, i.e (1) Fish resources and (2) Fishing technique. The methods of obtaining the data were survey by extracting the data through interviews/questionnaire. The sample was determined using purposive sampling technique. The results of the research indicate that the status of utilizing shark fishery in Selayar Islands Regency is currently in medium category. The main issues indicated are a decrease in catch size and the catch of sharks that are not feasible to catch (50% of catch <Lm). The domains that need to get primary attention in the management of sharks fisheries are the domains of fish resources and fishing technique. The efforts of management carried out in each fields are based on central issues that emerge. Connectivity efforts between communities and institutions are needed to produce functional fisheries management status so that the sustainability of shark resources in Selayar Islands Regency can be sustainable


Author(s):  
John Anderson

Research in natural resource management may be characterized as a search for an understanding of patterns and processes relating to a particular resource. Modeling is a crucial tool to these efforts: resource scientists use such models to help them conceptualize, understand, test, predict, or assess various aspects of the resource being studied. One central function, however, underlies all of these uses: a model simulates the way in which a real system would behave under conditions of interest to the user, and illustrates changes over time. Such a model may be used to determine the consequences of particular situations, leaving judgment of the attractiveness of those consequences to the user. Particularly in the case of complex ecosystems, such a model may also serve to clarify interactions and contribute to a deeper understanding of ecological phenomena. In recent years, computer-based models have become the most significant tool of resource managers, for two reasons. First, any model must accurately portray the real system it represents if research based on the model is to have any reliability. The use of computer technology has greatly increased the extent and the detail to which ecosystems can be modeled, and thus the accuracy of these models. The other reason for the extensive use of computer models is the flexibility that the computer as a tool brings to the modeling process. Many ecosystems are poorly understood, and complex models for such poorly understood systems are almost never completed. Rather, modeling such a system is an iterative process, with a partial understanding generating new hypotheses, which in turn generate changes to the model based on further research. Computer technology brings flexibility and ease of modification to the modeling process, naturally supporting this iterative development. In addition, as the alternatives available in resolving resource management problems become increasingly expensive, and the resources themselves become increasingly scarce and valuable, such models become vital tools not only in the direct management of resources, but in the control of expenses associated with resource management as well.


2017 ◽  
Vol 114 (3) ◽  
pp. 435-442 ◽  
Author(s):  
Ling Cao ◽  
Yong Chen ◽  
Shuanglin Dong ◽  
Arthur Hanson ◽  
Bo Huang ◽  
...  

China’s 13th Five-Year Plan, launched in March 2016, provides a sound policy platform for the protection of marine ecosystems and the restoration of capture fisheries within China’s exclusive economic zone. What distinguishes China among many other countries striving for marine fisheries reform is its size—accounting for almost one-fifth of global catch volume—and the unique cultural context of its economic and resource management. In this paper, we trace the history of Chinese government priorities, policies, and outcomes related to marine fisheries since the 1978 Economic Reform, and examine how the current leadership’s agenda for “ecological civilization” could successfully transform marine resource management in the coming years. We show how China, like many other countries, has experienced a decline in the average trophic level of its capture fisheries during the past few decades, and how its policy design, implementation, and enforcement have influenced the status of its wild fish stocks. To reverse the trend in declining fish stocks, the government is introducing a series of new programs for sustainable fisheries and aquaculture, with greater traceability and accountability in marine resource management and area controls on coastal development. As impressive as these new plans are on paper, we conclude that serious institutional reforms will be needed to achieve a true paradigm shift in marine fisheries management in China. In particular, we recommend new institutions for science-based fisheries management, secure fishing access, policy consistency across provinces, educational programs for fisheries managers, and increasing public access to scientific data.


<em>Abstract</em>.—The White River Fisheries Partnership (WRFP) was formed as an interstate and interagency partnership along the Missouri–Arkansas border beginning in 2001. Reservoir resource managers, interested in continuing efforts to enhance sport fish populations in the White River reservoirs, came together through the partnership as a natural extension of their earlier efforts to coordinate fisheries management in shared waters along the border. The partnership originally included representatives of the U.S. Army Corps of Engineers, Bass Pro Shops and Tracker Marine, Inc. and members of their professional angling staffs, the Missouri Department of Conservation, the Arkansas Game and Fish Commission, the Southwestern Power Administration, the Missouri Department of Natural Resources, the Arkansas Department of Parks and Tourism, the Missouri Division of Tourism, the U.S. Geological Survey, and the Arkansas Department of Environmental Quality. Other local and regional stakeholders have participated in the partnership as it has developed. The primary purpose of the WRFP has been to establish common and achievable objectives designed to enhance recreational fishing using opportunities developed through a federal, state, and private partnership. A common set of objectives and expectations has been developed and is presented in this paper. Communication between biological, technical, and administrative elements in each partnering organization has improved over the years. As public interests and expectations in regard to reservoirs and their tailwaters change over time, the partnering agencies will revisit strategies and adjust their efforts to address these changes. Multifaceted collaboration efforts such as the WRFP require time and long-term commitments from the partners if they are to continue to be successful and reach their established objectives.


2021 ◽  
Vol 12 (1) ◽  
pp. 156-171
Author(s):  
Denzil Miller ◽  
Elise Murray

Regional fisheries organisations globally are feeling the impacts of non-compliant behaviour by both contracting and non-contracting parties. Non-compliance arising from activities such as illegal, unreported and unregulated fishing, or failures by flag states to appropriately report the activities of their vessels, has resulted in damage to the environment and damage to the performance of regional fisheries management organisations themselves. As a result, many of these organisations are adopting and implementing a relatively new mechanism to tackle non-compliance: the compliance evaluation procedure. This article demonstrates that by adopting a compliance evaluation procedure, regional fisheries organisations are better placed to identify and address non-compliance in an effort to improve compliance with their conservation measures. It analyses in detail the procedure adopted by one particular organisation, the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), to suggest that implementation of their procedure has improved transparency, accountability and enforcement. It is argued that the CCAMLR compliance evaluation procedure represents a model for other polar and high seas areas to promote sustainable, and responsible, fishing practices globally.


Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 327
Author(s):  
Erci Xu ◽  
Shanshan Li

The recent adoption of deep learning for diverse applications has required infrastructures to be scaled horizontally and hybrid configured vertically. As a result, efficient resource management for distributed deep learning (DDL) frameworks is becoming increasingly important. However, existing techniques for scaling DDL applications rely on general-purpose resource managers originally designed for data intensive applications. In contrast, DDL applications present unique challenges for resource management as compared to traditional big data frameworks, such as a different master–slave communication paradigm, deeper ML models that are more computationally and network bounded than I/O, the use of heterogeneous resources (e.g., GPUs, TPUs) and the variable memory requirement. In addition, most DDL frameworks require data scientists to manually configure the task placement and resource assignment to execute DDL models. In this paper, we present Dike, an automatic resource management framework that transparently makes scheduling decisions for placement and resource assignment to DDL workers and parameter servers, based on the unique characteristics of the DDL model (number and type of parameters and neural network layers), node heterogeneity (CPU/GPU ratios), and input dataset. We implemented Dike as a resource manager for DDL jobs in Tensorflow on top of Apache Mesos. We show that Dike significantly outperformed both manual and static assignment of resource offers to Tensorflow tasks, and achieved at least 95% of the optimal throughput for different DDL models such as ResNet and Inception.


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