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Cited by 320

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Marine conservation biology: the science of maintaining the sea's biodiversity

·2006·Choice Reviews Online

Abstract

Humans are terrestrial animals, and our capacity to see and understand the importance and vulnerability of life in the sea has trailed our growing ability to harm it. While conservation biologists are working to address environmental problems humans have created on land, loss of marine biodiversity, including extinctions and habitat degradation, has received much less attention. At the same time, marine sciences such as oceanography and fisheries biology have largely ignored issues of conservation. Marine Conservation Biology brings together for the first time in a single volume leading experts from around the world to apply the lessons and thinking of conservation biology to marine issues. Contributors including James M. Acheson, Louis W. Botsford, James T. Carlton, Kristina Gjerde, Selina S. Heppell, Ransom A. Myers, Julia K. Parrish, Stephen R. Palumbi, and Daniel Pauly offer penetrating insights on the nature of marine biodiversity, what threatens it, and what humans can and must do to recover the biological integrity of the world's estuaries, coastal seas, and oceans.

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Metadata

Venue
Choice Reviews Online
Published
2006-03-01
Volume
43
Issue
07
Pages
43-4011-43-4011
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W611705220
Cited by
320
References
0
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Marine conservation biology: the science of maintaining the sea's biodiversity. https://app.cochat.ai/papers/10.5860/choice.43-4011
The paper
Marine conservation biology: the science of maintaining the sea's biodiversity. (2006). Choice Reviews Online. https://doi.org/10.5860/choice.43-4011

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.