Stochastic simulation modelling of southern Great Barrier Reef green turtle population dynamics

By M. Chaloupka. 2002

143 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/efed2bc82cc6dc27f9bada613b154c57bcdc8055

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. G. Hays
2. C. Limpus
3. M. Chaloupka
4. Bj Godley
5. AC Broderick
6. G. Balazs
7. K. Bjorndal
8. A. Bolten

In Nature and Landscape Conservation

1. M. Chaloupka
2. G. Hays
3. Bj Godley
4. C. Limpus
5. AC Broderick
6. Sebastian Tröeng
7. K. Bjorndal
8. A. Bolten

Citations in the corpus

• Reassessing the value of nursery areas to shark conservation and management (2009, background): “Later models for various marine turtle species (Chaloupka 2002; Mazaris et al. 2006) have come to similar conclusions in regard to the importance of subadult and adult individuals for population persistence.”
• Green turtle somatic growth dynamics in a spatially disjunct Great Barrier Reef metapopulation (2004, background): “This information has particular relevance for modeling the long-term viability of sGBR green turtle metapopulation population dynamics subject to various harvesting pressures throughout the Great Barrier Reef region ( Chaloupka 2002, 2004 ).”
• EVALUATING TRENDS IN ABUNDANCE OF IMMATURE GREEN TURTLES, CHELONIA MYDAS, IN THE GREATER CARIBBEAN (2005, background): “…our understanding of the biological bases of the great annual variation in nesting numbers (Broderick et al. 2001, Chaloupka 2001, Solow et al. 2002) and have provided improved statistical models to evaluate nesting numbers (Chaloupka 2002, Fujiwara and Caswell 2002, Kendall and Nichols 2002).”
• Long-term conservation efforts contribute to positive green turtle Chelonia mydas nesting trend at Tortuguero, Costa Rica (2005, background): “95 annual adult survivorship rate estimated for the southern Great Barrier reef, Australia green turtle population (Chaloupka, 2002).”
• Estimates of sex- and age-class-specific survival probabilities for a southern Great Barrier Reef green sea turtle population (2005, background): “The juvenile age class was estimated to range from around 5 to 20 years of age and the subadult age class was estimated to range from around 20 to 35 years of age ( Chaloupka 2002; Chaloupka et al. 2004).”
• Are green turtles globally endangered (2006, methodology): “We modified a deterministic age-class-structured, birth-pulse and post-breeding census matrix projection model developed previously to describe the Great Barrier Reef population of green turtles (we have used MODEL1 as a template; Chaloupka, 2001) to estimate the minimum population size of green tur”
• Encouraging outlook for recovery of a once severely exploited marine megaherbivore (2008, background): “It is important to note that the trends in nesting activity shown here for the six populations (Figs 1 & 2) reflect the nesting female proportion of each stock, which only accounts for a very small fraction of a green turtle stock (Chaloupka, 2002).”
• Variation in adult annual survival probability and remigration intervals of sea turtles (2007, methodology): “This has been shown empirically using a stochastic simulation model of southern Great Barrier Reef green turtle population dynamics and demographic parameter sensitivity analysis based on fractional factorial sampling designs (Chaloupka 2002).”
• Annual variation in nesting numbers of marine turtles: the effect of sea surface temperature on re-migration intervals (2002, unknown): “The annual survival probability of adult green turtles in the southern Great Barrier Reef, Australia, has been estimated at around 0.95 (Chaloupka 2002) by mark–recapture methods.”
• Migration of green turtles Chelonia mydas from Tortuguero, Costa Rica (2005, unknown): “The annual survivorship rates calculated for Tortuguero green turtles using tag recoveries (0.82, Campbell 2003; Campbell and Lagueux 2005) and a remigration model (0.80, Solow et al. 2002) are lower than the 0.95 survivorship rate estimated for adult green turtles in Australia (Chaloupka 2002).”
• Spatial and temporal variability in somatic growth of green sea turtles (Chelonia mydas) resident in the Hawaiian Archipelago (2004, background): “This information has particular relevance for modelling the long-term viability of green turtle stocks subject to anthropogenic hazards and for developing a better understanding of the effect of ecological processes on sea turtle population dynamics (Chaloupka and Musick 1997; Chaloupka 2002, 2003,”
• Incorporating output variance in local sensitivity analysis for stochastic models (2008, methodology): “In global SA, this is sometimes done in ANOVA-related methods (Chaloupka, 2002; Ginot et al., 2006), and other methods (Campolongo et al., 2007).”
• Marine turtles and IUCN Red Listing: A review of the process, the pitfalls, and novel assessment approaches (2008, background): “Such approaches may prove useful within a Red List framework, particularly those which examine extinction risk (Chaloupka, 2002, 2004; Mazaris et al., 2005).”