Population structure, spatial distribution and life-history traits of blacktip reef sharks Carcharhinus melanopterus

2013 ◽  
Vol 82 (3) ◽  
pp. 979-993 ◽  
Author(s):  
J. Mourier ◽  
S. C. Mills ◽  
S. Planes
Keyword(s):  
Population Structure ◽  
Spatial Distribution ◽  
Life History ◽  
Life History Traits ◽  
Reef Sharks ◽  
Carcharhinus Melanopterus

scholarly journals Coalescence times, life history traits and conservation concerns: an example from four coastal shark species from the Indo-Pacific

2021 ◽  
Author(s):  
Pierre Lesturgie ◽  
Serge Planes ◽  
Stefano Mona
Keyword(s):  
Population Structure ◽  
Life History ◽  
Life History Traits ◽  
New Caledonia ◽  
Demographic History ◽  
Conservation Strategies ◽  
Shark Species ◽  
Effective Population ◽  
Demographic Models ◽  
Mobile Species

Dispersal abilities play a crucial role in shaping the extent of population genetic structure, with more mobile species being panmictic over large geographic ranges and less mobile ones organized in meta-populations exchanging migrants to different degrees. In turn, population structure directly influences the coalescence pattern of the sampled lineages, but the consequences on the estimated variation of the effective population size (Ne) over time obtained by means of unstructured demographic models remain poorly understood. However, this knowledge is crucial for biologically interpreting the observed Ne trajectory and further devising conservation strategies in endangered species. Here we investigated the demographic history of four shark species (Carharhinus melanopterus, Carharhinus limbatus, Carharhinus amblyrhynchos, Galeocerdo cuvier) with different degrees of endangered status and life history traits related to dispersal distributed in the Indo-Pacific and sampled off New Caledonia. We compared several evolutionary scenarios representing both structured (meta-population) and unstructured models and then inferred the Ne variation through time. By performing extensive coalescent simulations, we provided a general framework relating the underlying population structure and the observed Ne dynamics. On this basis, we concluded that the recent decline observed in three out of the four considered species when assuming unstructured demographic models can be explained by the presence of population structure. Furthermore, we also demonstrated the limits of the inferences based on the sole site frequency spectrum and warn that statistics based on linkage disequilibrium will be needed to exclude recent demographic events affecting meta-populations.

scholarly journals Linking life-history traits, spatial distribution and abundance of two species of lugworms to bait collection: A case study for sustainable management plan

2018 ◽  
Vol 140 ◽  
pp. 433-443 ◽  
Author(s):  
Lola De Cubber ◽  
Sébastien Lefebvre ◽  
Charline Fisseau ◽  
Vincent Cornille ◽  
Sylvie Marylène Gaudron
Keyword(s):  
Spatial Distribution ◽  
Life History ◽  
Sustainable Management ◽  
Life History Traits ◽  
Management Plan

scholarly journals Spatial distribution of life-history traits and their response to environmental gradients across multiple marine taxa

Ecosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. e02460 ◽  
Author(s):  
Laurene Pecuchet ◽  
Gabriel Reygondeau ◽  
William W. L. Cheung ◽  
Priscilla Licandro ◽  
P. Daniel van Denderen ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Life History ◽  
Life History Traits ◽  
Environmental Gradients

scholarly journals Batoid Abundances, Spatial Distribution, and Life History Traits in the Strait of Sicily (Central Mediterranean Sea): Bridging a Knowledge Gap through Three Decades of Survey

Animals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2189
Author(s):  
Michele Luca Geraci ◽  
Sergio Ragonese ◽  
Danilo Scannella ◽  
Fabio Falsone ◽  
Vita Gancitano ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Life History ◽  
Life History Traits ◽  
Current Status ◽  
Distribution Analysis ◽  
Central Mediterranean ◽  
Strait Of Sicily ◽  
Abundance Trends ◽  
First Maturity ◽  
Trawl Surveys

Batoid species play a key role in marine ecosystems but unfortunately they have globally declined over the last decades. Given the paucity of information, abundance data and the main life history traits for batoids, obtained through about three decades of bottom trawl surveys, are presented and discussed. The surveys were carried out in two areas of the Central Mediterranean (South of Sicily and Malta Island), in a timeframe ranging from 1990 to 2018. Excluding some batoids, the abundance trends were stable or increasing. Only R. clavata, R. miraletus, and D. oxyrinchus showed occurrence and abundance indexes notable enough to carry out more detailed analysis. In particular, spatial distribution analysis of these species highlighted the presence of two main hotspots in Sicilian waters whereas they seem more widespread in Malta. The lengths at first maturity (L50) were 695 and 860, 635 and 574, and 364 and 349 mm total length (TL), respectively, for females and males of D. oxyrinchus, R. clavata, and R. miraletus. The asymptotic lengths (L∞) and the curvature coefficients (K) were 1365 and 1240 (K = 0.11 and 0.26), 1260 and 1100 (K = 0.16 and 0.26), and 840 and 800 mm TL (K = 0.36 and 0.41), respectively, for females and males of D. oxyrinchus, R. clavata, and R. miraletus. The lack of detailed quantitative historical information on batoids of Sicily and Malta does not allow to analytically judge the current status of the stocks, although the higher abundance of some species within Malta raises some concern for the Sicilian counterpart. In conclusion, suitable actions to protect batoids in the investigated area are recommended.

scholarly journals Coalescent times, life history traits and conservation concerns: an example from four shark species from the Indo-Pacific

2021 ◽  
Author(s):  
Pierre Lesturgie ◽  
Serge Planes ◽  
Stefano Mona
Keyword(s):  
Population Structure ◽  
Life History ◽  
Life History Traits ◽  
New Caledonia ◽  
Demographic History ◽  
Conservation Strategies ◽  
Shark Species ◽  
Effective Population ◽  
Demographic Models ◽  
Mobile Species

Dispersal abilities play a crucial role in shaping the extent of population genetic structure, with more mobile species being panmictic over large geographic ranges and less mobile ones organized in meta-populations exchanging migrants to different degrees. In turn, population structure directly influences the coalescent pattern of the sampled lineages, but the consequences on the estimated variation of the effective population size (Ne) over time obtained by means of unstructured demographic models remain poorly understood. However, this knowledge is crucial for biologically interpreting the observed Ne trajectory and further devising conservation strategies in endangered species. Here we investigated the demographic history of four shark species (Carharhinus melanopterus, Carharhinus limbatus, Carharhinus amblyrhynchos, Galeocerdo cuvier) with different degrees of endangered status and life history traits related to dispersal distributed in the Indo-Pacific and sampled off New Caledonia. We compared several evolutionary scenarios representing both structured (meta-population) and unstructured models and then inferred the Ne variation through time. By performing extensive coalescent simulations, we provided a general framework relating the underlying population structure and the observed Ne dynamics. On this basis, we concluded that the recent decline observed in three out of the four considered species when assuming unstructured demographic models can be explained by the presence of population structure. Furthermore, we also demonstrated the limits of the inferences based on the sole site frequency spectrum and warn that statistics based on linkage disequilibrium will be needed to exclude recent demographic events affecting meta-populations.

Life-History Traits and Population Structure of Pederson Cleaner Shrimps Ancylomenes pedersoni

2017 ◽  
Vol 233 (3) ◽  
pp. 190-205 ◽  
Author(s):  
Jessica A. Gilpin ◽  
Nanette E. Chadwick
Keyword(s):  
Population Structure ◽  
Life History ◽  
Life History Traits
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