Using software Vortex as a tool towards conservation actions for sharks
Barcellos, L.; Escarlate-Tavares, F.
Show abstract
Elasmobranchs, especially sharks, are part of the most threatened group of animals in the world. Among the factors that negatively affect these populations, the environmental degradation and disordered fishing can be highlighted. Although these threats are well known, the responses of most species to these factors are not fully understood, which makes it difficult to predict potential population responses according to conservation actions. The present study aims to develop a theoretical model based on a real population of white sharks (Carcharodon carcharias) that inhabit Gulf of Mexico, using their biological patterns to identify trends for the populations using Vortex (version 10.0.0.3) as a tool. The construction of the model was based on bibliographic data, considering parameters of life history, demographic rates and main known threats. Data were entered into Vortex software, and two population sizes were tested in the population viability analysis, indicating in both cases that the species tends to lose its genetic diversity over 500 years with a 12% and 51% of probability of extinction, respectively, considering exclusively its biological potential. This results can reflect on an mislead assumption of the real subpopulations size, which shows that the species is inserted into the vortex of extinction even with the existence of protective measures regarding white sharks on the location of the study, and it must incorporate neonates and juveniles individuals on the analysis to generate a consistent result. Despite this, the study suggests that the utilization of Vortex is capable of generating responses necessary for the conservation of sharks by analyzing stochastic events and life history in a simple way.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Assessment of a small-scale fishery: Lane Snapper (Lutjanus synagris) using a length metric method 97%
- Genetic population subdivision of Blue Swimming Crab (Portunus pelagicus) across Indonesia inferred from mitochondrial DNA: implication to sustainable fishery 97%
- Bottom trawl catch comparison in the Mediterranean Sea: Flexible Turtle Excluder Device (TED) vs traditional gear 95%
Similar papers in this journal
- Landing the 'Tiger of Rivers': Understanding Recreational Angling of Mahseers in India using YouTube Videos 95%
- The thin edge of the wedge: extremely high extinction risk in wedgefishes and giant guitarfishes 94%
- Untangling the Indonesian tangle net fishery: describing a data-poor fishery targeting large threatened rays (Order Batoidea) 93%
Similar papers in this journal
- Stock identification of Mediterranean horse mackerel (Trachurus mediterraneus) through the analysis of morphometric characters in the Adriatic Sea. 96%
- Estimating body volumes and surface areas of animalsfrom cross-sections 94%
- Standardization and validation of a panel of cross-species microsatellites to individually identify the Asiatic wild dog (Cuon alpinus): implications in population estimation and dynamics 93%
Similar papers in this journal
- Physiological properties and tailored feeds to support aquaculture of marbled crayfish in closed systems 90%
- Influence of isolation by environment and landscape heterogeneity on genetic structure of wild rice Zizania latifolia along a latitudinal gradient 89%
- Microclimate, CO2 and CH4 concentration on Blue tits (Cyanistes caeruleus) nests: effects of brood size, nestling age and on ectoparasites 89%
Similar papers in this journal
- Developing snakebite risk model using venomous snake habitat suitability as an indicating factor: An application of species distribution models in public health research 94%
- Molecular identification of whole squids and calamari at fairs and markets in regions of Latin America 94%
- The Potential of the Primitive: a Network Analysis of Early Arthropod Evolution 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.