META-ANALYSIS OF COD-SHRIMP INTERACTIONS REVEALS TOP-DOWN CONTROL IN OCEANIC FOOD WEBS

By Boris Worm, R. Myers. 2003

545 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/f74a0528353efe6b491029a605803527cff4aae5

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Citations in the corpus

Food-web inferences of stable isotope spatial patterns in copepods and yellowfin tuna in the pelagic eastern Pacific Ocean (2010, background): “Concurrent with climate effects, selective removal of large predatory fishes from marine food webs can impart top-down changes in trophic structure and stability via trophic cascades (Carpenter et al., 1985; Pace et al., 1999; McClanahan and Arthur, 2001; Worm and Myers, 2003; Essington and Hansson,”
META‐ANALYSIS OF ANIMAL MOVEMENT USING STATE‐SPACE MODELS (2003, methodology): “An advantage of meta-analytic models is that parameter estimates from individual data sets can be improved over those that would be obtained by fitting separate models to each data set (Myers et al. 1999, Worm and Myers 2003).”
Recruitment variation of eastern Bering Sea crabs: Climate-forcing or top-down effects? (2006, background): “Common hypotheses invoke bottom-up (Beamish and Bouillon, 1993) and top-down controls (Springer et al., 2003; Worm and Myers, 2003 ) or combinations of both (Hunt et al., 2002).”
High trophic overlap within the seabird community of Argentinean Patagonia: a multiscale approach (2004, background): “Similarly, there has been considerable interest in investigating niche segregation / overlap, trophic ecology and parameters including species richness, relative abundance and spatial or temporal variation in the distribution of species in the community (e.g. Worm & Myers 2003).”
Junk-food in marine ecosystems (2008, background): “fishing and predation) and/or competition ( Worm and Myers 2003, Hjermann et al. 2004, Frank et al. 2005, Halpern et al. 2006).”
Effects of temperature and population density on von Bertalanffy growth parameters in Atlantic herring: a macro-ecological analysis (2010, methodology): “We used the method described in Worm & Myers (2003): Let rpop be the correlation coefficient between one cohort specific growth parameter in a given population pop (e.g. winf yc,pop) and one explanatory variable (e.g. SSTyc,pop), and N2pop the corresponding number of degrees of freedom corrected to…”
Trade-offs between conservation and socio-economic objectives in managing a tropical marine ecosystem (2008, background): “(2007), doi:10 Altantic cod (Gadus morhua) stocks, the lucrative invertebrate fisheries, such as lobster, crab and shrimp, bloomed; this might be due to reduced predation following collapse of cod populations (Worm and Myers, 2003).”
Food‐web structure varies along environmental gradients in a high‐latitude marine ecosystem (2018, background): “; Research groups or food-web compartments (Worm and Myers 2003, Boyce et al.”
Assessing the relevance of nucleic acid content as an indicator of marine bacterial activity (2007, methodology): “This type of meta-analysis has been used to identify general trends of species interactions and mean temperature among regions (e.g. Worm & Myers 2003, Richardson & Schoeman 2004).”
Cascading top-down effects of changing oceanic predator abundances. (2009, background): “…example time series of predator (᭺) and prey (᭹) abundances, and (d–f ) corresponding meta-analyses of the effects of (a,d) cod on shrimp (data from Worm & Myers 2003), (b,e) cod and other benthic piscivores on pelagic fishes (data from Frank et al. 2006), (c,f ) pelagic fishes on zooplankton…”
Bottom-up control of common octopus Octopus vulgaris in the Galician upwelling system, northeast Atlantic Ocean (2008, methodology): “…and daily –QX from April to September during years 1998 to 2004 were studied using a random-effects (i.e. year) meta-analysis (Lipsey & Wilson 2001, Worm & Myers 2003) after removing temporal autocorrelation adjusting the degrees of freedom using the modified Chelton method (Pyper & Peterman…”
Developing an acoustic survey of euphausiids to understand trophic interactions in the Bering Sea ecosystem (2012, background): “…the relative importance of fish predation for controlling crustacean zooplankton populations in marine systems remains an open question (Dalpadado and Skjoldal, 1996; Mullin and Conversi, 1988; Reid et al., 2000; Robinson, 2000; Stevick et al., 2008; Wilson et al., 2009; Worm and Myers, 2003).”
Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model (2007, unknown): “The differences between transiting versus foraging for temperature, time at depth, dive duration and maximum dive depth were each combined using a random effects meta-analysis (Worm & Myers 2003).”