Methods of assessing extinction risk in marine fishes.

By N. Dulvy, J. Ellis, N. B. Goodwin, A. Grant, J. Reynolds, S. Jennings. 2004

237 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/3e8e2a97c6291160c4c39733edf7f465ad24c79e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. N. Dulvy
2. S. Jennings
3. Wwl Cheung
4. E. Cortés
5. A. Grant
6. J. Reynolds
7. N. B. Goodwin
8. Elizabeth A. Fulton

In Global and Planetary Change

1. N. Dulvy
2. Wwl Cheung
3. S. Jennings
4. E. Cortés
5. J. Reynolds
6. Elizabeth A. Fulton
7. A. Grant
8. N. B. Goodwin

In Nature and Landscape Conservation

1. N. Dulvy
2. S. Jennings
3. J. Reynolds
4. E. Cortés
5. A. Grant
6. N. B. Goodwin
7. M. Bennett
8. M. Deakos

Citations in the corpus

• Valuable but vulnerable: Over-fishing and under-management continue to threaten groupers so what now? (2020, background): “Since these traits often correlate with each other as intrinsic indicators of vulnerability [51], fishes are often ascribed specific categories that reflect their vulnerability.”
• Trends and management implications of human-influenced life-history changes in marine ectotherms (2016, background): “…of the life-history invariants and correlations between L∞ 181 and k with natural mortality (M), carrying 176 capacity (K) and per-capita population growth rates (r), i.e. the key parameters defining population 177 productivity and ability to sustain harvesting (Dulvy et al. 2004; Hobday 2011b).”
• Perspectives on the intrinsic rate of population growth (2016, methodology): “2012), and is considered a standard measure of extinction risk (Dulvy et al. 2004).”
• Avoiding fishy growth curves (2013, background): “In turn, population assessment models, particularly those for data-poor species, make routine use of invariants (Dulvy et al. 2004; Le Quesne & Jennings 2012; Pardo, Cooper & Dulvy 2012).”
• Research Priorities to Support Effective Manta and Devil Ray Conservation (2018, background): “, 2014), researchers should use population projection models (Meyer-Gutbrod and Greene, 2018) and extinction risk analyses (Dulvy et al., 2004) to evaluate future population trends under varying management schemes, environmental conditions, and climate change scenarios.”
• Life history correlates of density-dependent recruitment in marine fishes (2006, background): “Body size alone was a strong predictor of SPRF=0, which would also enable an indirect estimate of the CR. Life history invariants and scaling rules could also be applied where direct measures are missing (Pope et al. 2000; Dulvy et al. 2004).”
• Comparison of threat and exploitation status in North‐East Atlantic marine populations (2005, methodology): “These numbers at age data were derived from Virtual Population Analysis and may be subject to additional variation as a result of observation, process and model error, in addition to the intrinsic variance of the stocks (ICES 2001; Dulvy et al. 2004 ).”
• Maximum intrinsic rate of population increase in sharks, rays, and chimaeras: the importance of survival to maturity (2016, background): “…mortality rate of a cohort is exponentially distributed, the average mortality rate is the mean of that distribution, which is equivalent to the reciprocal of average lifespan (Dulvy et al., 2004), such that M = 1/ω, where ω is an estimate of average lifespan, in years (See Supplementary Material).”
• Trade-offs between conservation and socio-economic objectives in managing a tropical marine ecosystem (2008, background): “Over the past few decades, over-exploitation of fishery resources has caused depletion, or extirpation in some extreme cases, of marine populations (Pauly et al., 2002; Dulvy et al., 2004; Hilborn et al., 2004a).”
• Why biodiversity is important to the functioning of real‐world ecosystems (2009, background): “There is a growing body of empirical data on extinction sequences and extinction traits (eg Purvis et al. 2000; Dulvy et al. 2004) and a growing interest in how traits influence vital ecosystem processes.”
• Marine turtles and IUCN Red Listing: A review of the process, the pitfalls, and novel assessment approaches (2008, background): “Efforts to assess marine fishes have suffered from similar issues, particularlywhen applied to commercially exploited species (Dulvy et al., 2004).”