scholarly journals Ecosystems in Action: Lessons from Marine Ecology about Recovery, Resistance, and Reversibility

BioScience ◽  
2008 ◽  
Vol 58 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Stephen R. Palumbi ◽  
Karen L. McLeod ◽  
Daniel Grünbaum
Keyword(s):  
Marine Ecology ◽  
Recovery Resistance

Environmental Management of Coastal Development, State of Kuwait

1999 ◽  
Vol 40 (7) ◽  
pp. 47-53 ◽  
Author(s):  
Y. R. Marmoush
Keyword(s):  
Environmental Impact ◽  
Practical Experience ◽  
Term Effect ◽  
Marine Ecology ◽  
Coastal Development ◽  
Long Term Effect ◽  
Environmental Measures ◽  
Environmental Feasibility ◽  
Development State ◽  
The Impact

The impact of coastal development in Kuwait is to be assessed as per the following environmental conditions: water circulation, sediment behavior, water quality, and marine ecology and fisheries. The objectives of this assessment are to identify and predict the environmental impact associated with coastal development and the various activities involved in any coastal project. These activities and their associated impact can be grouped into two categories: those that occur during construction (short-term effect), and those that occur after construction (long-term effect). This paper attempts to present the fundamental issues related to the environmental measures and the practical experience required to evaluate the potential environmental impact of coastal development in Kuwait. The conclusions and general considerations regarding the environmental feasibility of coastal development are given, and measures to minimize the adverse impact on the environment are recommended.

scholarly journals Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries

2021 ◽  
Vol 13 (5) ◽  
pp. 883
Author(s):  
Igor M. Belkin
Keyword(s):  
Remote Sensing ◽  
Marine Ecology ◽  
Popular Front ◽  
Ocean Fronts ◽  
Detection Algorithms ◽  
Concise Review ◽  
Feature Based ◽  
Front Detection

This paper provides a concise review of the remote sensing of ocean fronts in marine ecology and fisheries, with a particular focus on the most popular front detection algorithms and techniques, including those proposed by Canny, Cayula and Cornillon, Miller, Shimada et al., Belkin and O’Reilly, and Nieto et al.. A case is made for a feature-based approach that emphasizes fronts as major structural and circulation features of the ocean realm that play key roles in various aspects of marine ecology.

scholarly journals Herring and ICES: a historical sketch of a few ideas and their linkages

2009 ◽  
Vol 66 (8) ◽  
pp. 1652-1661 ◽  
Author(s):  
Mike Sinclair
Keyword(s):  
Paradigm Shift ◽  
Pelagic Fish ◽  
Marine Ecology ◽  
Effective Management ◽  
Paradigm Shifts ◽  
Population Thinking ◽  
Fish Stocks ◽  
Considerable Debate ◽  
Historical Sketch

Abstract Sinclair, M. 2009. Herring and ICES: a historical sketch of a few ideas and their linkages. – ICES Journal of Marine Science, 66: 1652–1661. This introduction to the Symposium on “Linking Herring” sketches the development of some ideas generated from herring research within an ICES context. The work of Committee A (1902–1908), under the leadership of Johan Hjort, led to a paradigm shift from “migration thinking” to “population thinking” as the interpretation of fluctuations in herring landings. From the 1920s to the 1950s, the focus on forecasting services for the herring fisheries, although ultimately unsuccessful, had the unintended consequence of generating ideas on recruitment overfishing and the match–mismatch hypothesis. The collapse of the East Anglian fishery led, in 1956, to considerable debate on its causes, but no consensus was reached. Three consecutive symposia dealing with herring (1961, 1968, and 1970) reveal a changing perspective on the role of fishing on recruitment dynamics, culminating in Cushing’s 1975 book (“Marine Ecology and Fisheries”, referred to here as the “Grand Synthesis”), which defined the concept of recruitment overfishing and established the future agenda for fisheries oceanography. The 1978 ICES “Symposium on the Assessment and Management of Pelagic Fish Stocks” is interpreted as the “Aberdeen Consensus” (i.e. without effective management, recruitment overfishing is to be expected). In conclusion, herring research within ICES has led to many ideas and two major paradigm shifts.

scholarly journals Mapping of QTLs associated with recovery resistance to streak virus disease in maize

2018 ◽  
Vol 63 (1) ◽  
pp. 115-121 ◽  
Author(s):  
O. Ladejobi ◽  
M.T. Salaudeen ◽  
P. Lava Kumar ◽  
A. Menkir ◽  
A. Adesoye ◽  
...  
Keyword(s):  
Virus Disease ◽  
Streak Virus ◽  
Recovery Resistance

Tribological Characteristics of Thermomechanically Processed 7075 Al Alloy Through Nano-scratch Characterization

2021 ◽  
pp. 135065012110397
Author(s):  
Souriddha Sanyal ◽  
Ashoktaru Chakraborty ◽  
Angshuman Sarkar ◽  
Susanta K Pradhan ◽  
Utpal Madhu ◽  
...  
Keyword(s):  
Dislocation Density ◽  
Tribological Characteristics ◽  
Temperature Deformation ◽  
Al Alloy ◽  
Thermal Treatments ◽  
Plastic Energy ◽  
Recovery Resistance ◽  
Aa 7075 ◽  
Hardness Values ◽  
Resistance Coefficients

Age-hardenable Al–Zn–Mg–Cu (AA 7075) alloys can be fortified by precipitation solidifying because of precipitation of the MgZn2 intermetallic stages. Furthermore, grain refinement and high dislocation density can also be opted for strengthening purposes. A low-temperature deformation enhances the dislocation density and also facilitates the grains recovery to strengthen the component. The present study combines artificial aging (at 120 °C) and sub-zero (∼−20 ˚C) temperature rolling to achieve strengthening. Various sequences and combinations of these mechanical and thermal treatments are performed and the effects of these treatments on the tribological characteristics of the alloy are studied by nano-scratch measurements. The tribological characteristics are indicated by coefficient of friction ( μ), plastic energy ( PE), recovery index ( η), recovery resistance parameter ( Rs), etc. of each sample. The widths of the scratch are further utilized to calculate the scratch hardness values ( Hs), wear resistance coefficients ( Rw) and the coefficient of wear ( K) with the help of Archard's equation.

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