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The carrying on with worldwide decline of the health and wellbeing of the ocean, and the expanding depletion of marine assets and biodiversity, because of human job and weather swap, have ended in ever-increasing overseas obstacle. those alterations within the marine surroundings spotlight the significance of powerful tracking of the ecology of the benthos which has been proven to be a delicate index of such alterations.
Completely revised and up-to-date to incorporate many new equipment and applied sciences, this Fourth variation of equipment for the research of Marine Benthos offers entire insurance at the instruments and methods to be had to these operating within the sector. starting with an outline of the layout and research of benthic surveys, the publication maintains with chapters overlaying the sedimentary surroundings, imaging and diving suggestions, macro- and meiofauna concepts, deep sea sampling, power move and construction. an extra new bankruptcy supplied during this version covers phytobenthos techniques.
Written via a few of the world’s best experts in marine sampling strategies and use, and edited through Professor Anastasios Eleftheriou, this accomplished Fourth version is an important device for all marine and environmental scientists, ecologists, fisheries staff and oceanographers. Libraries in all study institutions and universities the place those matters are studied and taught will locate this booklet to be a highly invaluable addition to their collections.
Content:
Chapter 1 layout and research in Benthic Surveys in Environmental Sampling (pages 1–45): Antony J. Underwood and Maura G. Chapman
Chapter 2 Characterising the actual homes of Seabed Habitats (pages 47–95): Andrew J. Kenny and Ian Sotheran
Chapter three Imaging thoughts (pages 97–124): Chris J. Smith and Heye Rumohr
Chapter four Diving (pages 125–173): Colin Munro
Chapter five Macrofauna recommendations (pages 175–251): Anastasios Eleftheriou and Derek C. Moore
Chapter 6 Meiofauna recommendations (pages 253–284): Paul J. Somerfield and Richard M. Warwick
Chapter 7 Deep?Sea Benthic Sampling (pages 285–347): Alan J. Jamieson, Ben Boorman and Daniel O.B. Jones
Chapter eight Measuring the circulate of power and topic in Marine Benthic Animal Populations (pages 349–425): Jaap van der Meer, Thomas Brey, Carlo Heip, Peter M.J. Herman, Tom Moens and Dick van Oevelen
Chapter nine Phytobenthos thoughts (pages 427–465): Hans Kautsky
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Additional info for Methods for the Study of Marine Benthos, Fourth Edition
Sample text
Non-independence through time (more commonly called serial correlation) can be a more serious problem. Analysing differences in numbers of animals (numbers of species, or whatever other variable) is fraught with difficulties because the numbers in any given area tend to be correlated with future numbers. Even after trends due to seasonal cycles or mortality through time have been identified in analyses, there is often a tendency for the data at one time to be related to those at the next time, or to those at subsequent times of sampling.
Biological systems are variable in space and time at many scales, due to many interacting processes. It is the responsibility of biologists and ecologists to understand the 40 Methods for the Study of Marine Benthos consequences of such variation and the ensuing interactions and non-independent patterns so that sampling can be planned to take all of the issues into account. Where ‘ideal’ sampling is not possible, what is uncertain in the data can and must be considered before any conclusions are reached.
Nowadays, most data are stored in databases or electronic spreadsheets. It is essential that as much quality control goes into checking that the data in the spreadsheet match those collected in the laboratory or field, as went into collecting the data in the first place. One infallible but time-consuming way to ensure that the data match is to make sure that, after each set of data is entered into the computer, it is also checked by two people, at least one of whom was not involved in the collection of the data.