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David Rissik

Researcher at Griffith University

Publications -  46
Citations -  1137

David Rissik is an academic researcher from Griffith University. The author has contributed to research in topics: Phytoplankton & Climate change. The author has an hindex of 18, co-authored 40 publications receiving 963 citations. Previous affiliations of David Rissik include Queensland Government.

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Book

Plankton: A Guide to Their Ecology and Monitoring for Water Quality

TL;DR: The second edition of Plankton is a fully updated introduction to the biology, ecology and identification of plankton and their use in monitoring water quality as mentioned in this paper, which includes expanded, illustrated descriptions of all major groups of freshwater, coastal and marine phytoplankton and zooplankston and a new chapter on teaching science using plankton.
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Quantifying the conservation value of seascape connectivity: a global synthesis

TL;DR: In this article, the authors reviewed the published evidence about how important seascape connectivity is for marine conservation outcomes and concluded that stronger linkages between landscape ecology and marine spatial planning are likely to improve conservation outcomes in the sea.
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National sediment compartment framework for Australian coastal management

TL;DR: The sediment compartments approach was first used in the 1960s in the United States to define sections of the Australian coast, but had not been uniformly adopted around the nation in the way that has underpinned management, as in other countries.
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Marine reserves help coastal ecosystems cope with extreme weather

TL;DR: It is demonstrated that marine reserves enhanced the capacity of coral reefs to withstand flood impacts, and Herbivory and coral recruitment are critical ecological processes that underpin reef resilience, and were greater in reserves and further enhanced on reserve reefs near mangroves.
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Identifying habitats at risk: simple models can reveal complex ecosystem dynamics.

TL;DR: This work shows how a simple BN can reveal nonlinear dynamics in seagrass ecosystems using ecological relationships sourced from the literature, and demonstrates the capacity of simple, flexible modeling tools to facilitate collation and synthesis of disparate information.