Biological Sampling in the Deep Sea

Biological Sampling in the Deep Sea
Author: Malcolm R. Clark
Publisher: John Wiley & Sons
Total Pages: 472
Release: 2016-03-16
Genre: Nature
ISBN: 1118332555

The deep sea covers over 60% of the surface of the earth, yet less than 1% has been scientifically investigated. There is growing pressure on deep-sea resources and on researchers to deliver information on biodiversity and the effects of human impacts on deep-sea ecosystems. Although scientific knowledge has increased rapidly in recent decades, there exist large gaps in global sampling coverage of the deep sea, and major efforts continue to be directed into offshore research. Biological Sampling in the Deep Sea represents the first comprehensive compilation of deep-sea sampling methodologies for a range of habitats. It reviews the real life applications of current, and in some instances developing, deep-sea sampling tools and techniques. In creating this book the authors have been able to draw upon the experiences of those at the coal face of deep-sea sampling, expanding on the existing methodological texts whilst encompassing a level of technical detail often omitted from journal publications. Ultimately the book will promote international consistency in sampling approaches and data collection, advance the integration of information into global databases, and facilitate improved data analyses and consequently uptake of science results for the management and conservation of the deep-sea environment. The book will appeal to a range of readers, including students, early-career through to seasoned researchers, as well as environmental managers and policy makers wishing to understand how the deep-sea is sampled, the challenges associated with deep survey work, and the type of information that can be obtained.

Computers in Fisheries Research

Computers in Fisheries Research
Author: Bernard A. Megrey
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2013-06-29
Genre: Science
ISBN: 9401585989

In 1989 we were asked by Dr Vidar Wespestad (National Oceanographic and Atmospheric Administration. National Marine Fisheries Service. Alaska Fisheries Science Center. Seattle. USA) to prepare and convene a session at the 1992 World Fisheries Congress in Athens. Greece on computer appli cations in fisheries. We agreed that the idea was a good one and the computer session turned out to be very successful. The computer session was organized in three parts: training classes. informal demonstrations accompanied by posters. and oral presentations of scientific papers. We were both amazed by the high level of interest and the high quality of contributions presented at the paper session. Returning from the World Fisheries Congress. we suggested to the International Council for the Exploration of the Sea (ICES) in Copenhagen to hold a theme session on the topic 'Computers in Fisheries Research' at their statutory meeting the fol lowing year in Dublin. Ireland. The proposal was very positively received by ICES and we began organizing this new meeting with Dr John Ramster of the Ministry of Agriculture. Fisheries and Food. Fisheries Laboratory. Lowestoft. England. Based on our experience with the World Fisheries Congress. we expected a maximum of 15 titles would be submitted to the ICES theme session. Accordingly. the ICES symposium was originally allo cated one half-day time slot. The response we received from the call for papers. however. exceeded our most optimistic expectations. A total of 62 abstracts were submitted. Consequently.

Topics in Multivariate Approximation

Topics in Multivariate Approximation
Author: C. K. Chui
Publisher: Elsevier
Total Pages: 346
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483271005

Topics in Multivariate Approximation contains the proceedings of an international workshop on multivariate approximation held at the University of Chile in Santiago, Chile, on December 15-19, 1986. Leading researchers in the field discussed several problem areas related to multivariate approximation and tackled topics ranging from multivariate splines and fitting of scattered data to tensor approximation methods and multivariate polynomial approximation. Numerical grid generation and finite element methods were also explored, along with constrained interpolation and smoothing. Comprised of 22 chapters, this book first describes the application of Boolean methods of approximation in combination with the theory of right invertible operators to bivariate Fourier expansions. The reader is then introduced to ill-posed problems in multivariate approximation; interpolation of scattered data by radial functions; and shape-preserving surface interpolation. Subsequent chapters focus on approximation by harmonic functions; numerical generation of nested series of general triangular grids; triangulation methods; and inequalities arising from best local approximations in rectangles. A bibliography of multivariate approximation concludes the book. This monograph will be of interest to mathematicians.

Statistical Computing

Statistical Computing
Author: Debasis Kundu
Publisher: Alpha Science Int'l Ltd.
Total Pages: 440
Release: 2004
Genre: Computers
ISBN: 9781842652022

Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methods and recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. This includes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statistical data analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametric smoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with the computational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing, topics which are unlikely to be covered in a standard text on Statistical Computing.