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Matthew C. Kay

Researcher at University of California, Santa Barbara

Publications -  5
Citations -  3338

Matthew C. Kay is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Population & Fisheries management. The author has an hindex of 5, co-authored 5 publications receiving 2964 citations. Previous affiliations of Matthew C. Kay include University of New Hampshire & Santa Barbara City College.

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Depletion, Degradation, and Recovery Potential of Estuaries and Coastal Seas

TL;DR: Reconstructed time lines, causes, and consequences of change in 12 once diverse and productive estuaries and coastal seas worldwide show similar patterns: Human impacts have depleted >90% of formerly important species, destroyed >65% of seagrass and wetland habitat, degraded water quality, and accelerated species invasions.
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Introduction of Non-Native Oysters: Ecosystem Effects and Restoration Implications

TL;DR: Oysters have been introduced worldwide to 73 countries, but the ecological consequences of the introductions are not fully understood and substantial population, community, and habitat changes have accompanied new oysters.
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Collaborative assessment of California spiny lobster population and fishery responses to a marine reserve network

TL;DR: Results of a CFR program tested whether reserves at the Santa Barbara Channel Islands, USA, influenced lobster size and trap yield, and whether abundance changes in reserves led to spillover that influenced trap yield and effort distribution near reserve borders suggest CFR provides an ideal platform for continued assessment of fishery-reserve interactions.
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Small-scale spatial variation in population dynamics and fishermen response in a coastal marine fishery

TL;DR: A CFR approach with fishing partners was used to collect and analyze geographically precise demographic information for grass rockfish, a sedentary, nearshore species harvested in the live fish fishery on the West Coast of the USA, and the results suggested nearly twice as much yield per recruit in the high productivity subregion relative to the low productivity sub region.
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Integration of No-Take Marine Reserves in the Assessment of Data-Limited Fisheries

TL;DR: In this paper, the authors developed a framework for integrating marine reserves into two data-limited assessment models: spawning potential ratio (SPR) and yield per recruit (YPR) for a commercial fishery targeting grass rockfish (Sebastes rastrelliger) in southern California, USA.