Fishery Science and Management: Objectives and Limitations. Warren S. Wooster

1989 ◽  
Vol 64 (4) ◽  
pp. 512-512
Author(s):  
J. L. McHugh
Keyword(s):  
Management Objectives ◽  
Fishery Science

Lecture Notes on Coastal and Estuarine Studies, Volume 28. Fishery Science and Management. Objectives and Limitations

Estuaries ◽  
1990 ◽  
Vol 13 (2) ◽  
pp. 231
Author(s):  
John Glaister ◽  
Ralf Yorque ◽  
Warren S. Wooster
Keyword(s):  
Management Objectives ◽  
Fishery Science ◽  
Lecture Notes

Does fisheries science serve the needs of managers of small stocks in developing countries

1997 ◽  
Vol 54 (9) ◽  
pp. 2207-2213 ◽  
Author(s):  
R Mahon
Keyword(s):  
Developing Countries ◽  
Fishery Management ◽  
Stock Assessment ◽  
International Programs ◽  
Total Revenue ◽  
Fisheries Science ◽  
Management Objectives ◽  
Fishery Science ◽  
Methodological Approaches ◽  
Critical Components

Despite the prevalence and socioeconomic importance of small, low total-revenue stocks, predominantly in tropical, developing countries, most of the world's fishery science effort has been devoted to large stocks. Methods for assessing and managing large stocks, though applicable to small ones, are seldom feasible for them. Minimal attention has been paid to approaches that are specifically for small stocks. The tendency for managers of fisheries on small stocks in developing countries to believe that stock assessment is essential for successful fishery management, often leads to disproportionate allocation of resources to stock assessment rather than other critical components of management. This has been reinforced by several agencies that have made stock assessment methods and software available for use in developing countries, while paying little attention to other dimensions of fishery assessment and management. Hence, management efforts for small stocks are often stock assessment driven (SAD), rather than management objective driven (MOD), as they should be. The sequence of actions typical of these two approaches is contrasted. Managers of small stocks in developing countries need international programs that will develop and promote formal methodological approaches with broad emphasis on management objectives and process.

GRAZING STUDIES FOR GRASSLAND SHEEP SYSTEMS AT THE HILL FARMING RESEARCH ORGANISATION, U.K.

1984 ◽  
pp. 184-189
Author(s):  
J. Hodgson ◽  
T.J. Maxwell
Keyword(s):  
Perennial Ryegrass ◽  
Management Objectives ◽  
Research Organisation ◽  
Hill Farming ◽  
The Uk ◽  
The Hill

Studies in the UK on continuously stocked swards dominated by perennial ryegrass show that both net herbage production and lamb output per hectare are maximised when herbage mass is maintained at 1200-I 500 kg OM/ha (3-5 cm surface height) during the main season of growth. The use of this information to define sward management objectives is outlined, and the incorporation of these objectives into the spring and summer phases of a grassland sheep enterprise is illustrated

Longitudinal Performance Measures for Assessing Agencywide Signal Management Objectives

2013 ◽  
Vol 2355 (1) ◽  
pp. 20-30 ◽  
Author(s):  
Howell Li ◽  
Alexander M. Hainen ◽  
Christopher M. Day ◽  
Gannon Grimmer ◽  
James R. Sturdevant ◽  
...  
Keyword(s):  
Performance Measures ◽  
Management Objectives

Management of the Dutch Waddensea

1984 ◽  
Vol 16 (3-4) ◽  
pp. 485-495 ◽  
Author(s):  
D Vreugdenhil
Keyword(s):  
The Netherlands ◽  
Middle Ages ◽  
Human Activities ◽  
Nature Reserve ◽  
The Other ◽  
Hydrological Processes ◽  
Dutch Government ◽  
Shallow Sea ◽  
Management Objectives ◽  
Late Middle Ages

It was not until the late Middle Ages that the sea penetrated far into the interior of The Netherlands, thus flooding three quarters of a million hectares of land. Since then half a million hectares have been reclaimed from the sea. The Dutch Government chose to preserve the remaining quarter of a million hectares of shallow sea with mudflats of the Waddensea as a nature reserve. The management objectives are at one hand to preserve all characteristic habitats and species with a minimal interference by human activities in geomorphological and hydrological processes, and at the other hand to guarantee the safety against the sea of the inhabitants of the adjacent mainland and islands and to facilitate certain economic and recreational uses of the Waddensea without jeopardizing the natural qualities. These objectives are being elaborated in managementplans.

scholarly journals Resource-Based Quality Performance Estimation Method for Construction Operations

2021 ◽  
Vol 11 (9) ◽  
pp. 4122
Author(s):  
Young-Jun Park ◽  
Chang-Yong Yi
Keyword(s):  
Construction Projects ◽  
Estimation Method ◽  
Project Managers ◽  
Performance Estimation ◽  
Construction Simulation ◽  
Construction Operations ◽  
Quality Performance ◽  
Management Objectives ◽  
Performance Indexes ◽  
Reducing Costs

Construction quality is one of the primary management objectives relating to duration and cost for construction projects. Project managers struggle with minimizing duration and cost while maximizing quality for construction projects. In construction projects, duration and cost have management priorities. On the other hand, quality is considered a matter of achievement only when it reaches a certain level. Although the importance of quality control in construction management has been constantly discussed, it has still been sacrificed under the goal of shortening construction duration and reducing costs. This study presents a method for estimating the quantitative quality performance of construction operations in which the level of detail is breaking into the work task level for intuitive quality performance evaluation. For this purpose, quality weights of resources that have a proportional quality importance weight and quality performance indexes of resources are utilized for estimating the quantitative quality performance of construction operations. Quality performance estimation and the resource allocation optimization system is presented and validated using a construction simulation model.

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