Fish abundance with no fishing: Predictions based on macroecological theory
By S. Jennings, J. Blanchard. 2004
305 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/36a117ed48e7df0db7b255f85ec5d25b08e5fe77
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Citations in the corpus
- Trophic flow kinetics in marine ecosystems: Toward a theoretical approach to ecosystem functioning (2008, result): “Such a process of increasing trophic kinetics with F has been observed in actual case studies (e.g., Jennings and Blanchard, 2004), but was not clearly highlighted when we fitted the P/B model on data characterized by different fishing pressures (Fig.”
- Surfing the Biomass Size Spectrum: Some Remarks on History, Theory, and Application (2016, methodology): “This was done by Jennings and Blanchard (2004), who used biomass spectrum theory to estimate what would be the biomass of the heavily fished North Sea fish community in the absence of fisheries exploitation.”
- Reference points and reference directions for size-based indicators of community structure (2005, methodology): “A URP might be derived from the slope in an unexploited system, and Jennings and Blanchard (2004) demonstrated a method, based on macroecological theory, for predicting such a reference point from estimates of transfer efficiency (TE) and predatoreprey body mass ratios (PPMR).”
- Radical changes in the Wadden Sea fauna and flora over the last 2,000 years (2005, background): “Jennings and Blanchard (2004) estimated that today’s biomass of large fish (>4 kg) in the North Sea is more than 97% lower than what it would have been without fisheries.”
- Cascading top-down effects of changing oceanic predator abundances. (2009, background): “…predators are inherently more variable both because prey are typically shorter lived (and thus more sensitive to environmental fluctuations; Jennings & Blanchard 2004) and have higher population growth rates, and because predator populations at low abundance may experience large increases…”
- Allometric laws and prediction in estuarine and coastal ecology (2006, methodology): “Trophically-explicit MTE models have been applied to estimate fish abundance in the North Sea in the absence of fishing pressures (Jennings and Blanchard 2004) and to estimate the size structure of benthic infaunal communities (Dinmore and Jennings 2004).”
- Global variation in marine fish body size and its role in biodiversity-ecosystem functioning (2010, background): “Ongoing declines in total biomass and species turnover times driven by declines in large-bodied individuals are characteristic of contemporary North Sea fish assemblages (Jennings & Blanchard 2004), where species richness has increased monotonically by ~50% (Hiddink & ter Hofstede 2008).”
- Changes in the structure and function of the North Sea fish foodweb, 1973–2000, and the impacts of fishing and climate (2005, background): “First, the structure and function of the foodweb is affected by both fishing and climate, so baseline measurements to compare with current conditions and to assess the impact of exploitation must be standardized to the current state of the climate (Jennings and Blanchard, 2004).”
- Marine defaunation: Animal loss in the global ocean (2015, background): “As a result of such pressures, turtles, whales, sharks, andmany large fishes are now ecologically extinct inmany ecosystems, and the size spectra (abundance–body mass relationships) of many communities have changed considerably (7, 30, 31).”
- Using fishers' anecdotes, naturalists' observations and grey literature to reassess marine species at risk: the case of the Gulf grouper in the Gulf of California, Mexico (2005, methodology): “…1995; Jackson et al. 2001; Pitcher 2001; Christensen et al. 2003; Myers and Worm 2003; Roberts 2003; Roman and Palumbi 2003; Baum and Myers 2004; Jennings and Blanchar 2004), we recommend using historical methods to reassess the status of all marine species currently or previously exploited, if…”
- Filling historical data gaps to foster solutions in marine conservation (2015, background): “…hindcasting estimates are usually extrapolated from existing time series data, together with contemporary production estimates or lifehistory parameters, and can provide insights such as the theoretical number of individuals a system can support (Jennings and Blanchard, 2004; Marsh et al., 2005).”
- The ‘shifting baseline’ phenomenon: a global perspective (2008, background): “Modelling studies (e.g. Christensen et al. 2003; Jennings and Blanchard 2004), and analyses of genetic diversity (Roman and Palumbi 2003), have supported this view and help illustrate how relying only on modern ecological or fisheries data will always result in ‘a shifted perception of the ocean’…”