Dr. Alvaro Hernández-Flores
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Representative Publications
View All Publications14 August 2019 in PeerJ
Journal Article
LPLeopoldo E. Palomo
Leopoldo E. Palomo
Alvaro Hernández-FloresThe framework proposed by Ostrom (2009) has become one of the most utilized tools to address the complexity of social-ecological systems. Most cases use this framework to analyze the systems from the perspective of a single resource unit. However, the livelihoods in several coastal communities are diverse, so that the users interact with multiple common-pool resources, which makes their analysis difficult. In this sense, it is important to identify the key elements of management to achieve the sustainable use of the resources. In this study, we were able to do this in a coastal community where commercial fishing, ecotourism, and recreational fishing coexist. The system of interest, located in the state of Quintana Roo, Mexico, was subdivided by resource type using a multi-method approach to data collection including surveys, interviews, and records review. A conceptual map was developed that shows how the second-tier variables are integrated through the governance and actors with the biophysical system. The actors involved in lobster fishing achieved a more complex governance system, followed by the ecotourism and recreational fishing; the complexity of the governance was related with the equity level of the actors. The analysis revealed the research gaps to develop management strategies and improve the sustainability of the system.
30 June 2020 in Scientia Marina
Journal Article
OAOtilio Avendaño
Otilio AvendañoAlvaro Hernández-FloresIVIván Velázquez-Abunader
Iván Velázquez-Abunader
Carlos M. JardonACAlfonso Cuevas-Jimenez
Alfonso Cuevas-JimenezAGAngel Guerra
Angel GuerraThe octopus fishery on the Campeche Bank (Yucatán, Mexico) is considered the third largest in the world. In Yucatán, two fleets target this resource: an artisanal fleet and a semi-industrial fleet. The artisanal fleet only catches Octopus maya, while the semi-industrial fleet catches two species, O. Maya and O. “vulgaris” Type II, because it operates at deeper waters ( > 30 m). Since there is no information on the abundance of O. “vulgaris” Type II, management is based only on O. Maya. In order to generate information about the abundance of this species, four fishing research cruises were carried out in the northeastern area of the continental shelf off the Yucatán Peninsula. Four methods (a stratified random method, a swept area, geostatistics and a weighted swept area) were applied and compared to determine the instantaneous abundance and biomass of both species in the study area. The lowest potential biomass was calculated with the geostatistical method, with values between 18.5% and 36.7% lower than the other three methods. O. “vulgaris” Type II showed the lowest biomass (37.8±3.36 t) during May and July and the highest (189.56±11.6 t) in December. Our findings revealed that the total abundance of both species was similar in the study area, with a geographic overlap whose amplitude changed throughout the year according to the geographic position: O. Maya dominated at approximately 88°W, while O. “vulgaris” Type II dominated towards the southeast at 87°W.
15 December 2021 in Conservation Physiology
Journal Article
EGEnrique González-Durán
Enrique González-Durán
Alvaro Hernández-FloresMHMaren D Headley
Maren D Headley
JCJosé Duarte Canul
José Duarte Canul
: Ocean acidification and increased ocean heat content has direct and indirect effects on marine organisms such as holothurians (sea cucumbers) that are vulnerable to changes in pH and temperature. These environmental factors have the potential to influence organismal performance and fitness at different life stages. Tropical and temperate holothurians are more vulnerable to temperature and pH than those from colder water environments. The high level of environmental variation observed in the oceans could influence organismal responses and even produce a wide spectrum of compensatory physiological mechanisms. It is possible that in these areas, larval survival will decline by up to 50% in response to a reduction of 0.5 pH units. Such reduction in pH may trigger low intrinsic growth rates and affect the sustainability of the resource. Here we describe the individual and combined effects that temperature and pH could produce in these organisms. We also describe how these effects can scale from individuals to the population level by using age-structured spatial models in which depensation can be integrated. The approach shows how physiology can improve the conservation of the resource based on the restriction of growth model parameters and by including a density threshold, below which the fitness of the population, specifically intrinsic growth rate, decreases.
17 April 2021 in Aquaculture Research
Journal Article
BMBabatunde Olaseni Musa
Babatunde Olaseni Musa
Alvaro Hernández-FloresOAOludare Akanni Adeogun
Oludare Akanni Adeogun
AOAdekunle Oresegun
Adekunle Oresegun
1 February 2020 in Marine Policy
Journal Article
LPLeopoldo E. Palomo
Leopoldo E. Palomo
Alvaro Hernández-Flores5 March 2018 in ICES Journal of Marine Science
Journal Article
EGEnrique González-Durán
Enrique González-DuránAlvaro Hernández-FloresJSJuan Carlos Seijo
Juan Carlos SeijoACAlfonso Cuevas-Jiménez
Alfonso Cuevas-Jiménez
AMAngélica Moreno-Enriquez
Angélica Moreno-Enriquez
The improvement of survival in some species due to the close coexistence between individuals is a concept that has caught the attention of scientists over the years. This behaviour has been documented in many taxa, including species which support commercial fisheries. In recent years, a better understanding of the mechanisms associated with the Allee effect has shown its importance in population dynamics and probably plays a more important role than previously thought. In this article, the Allee effect was analysed by means of a spatial bioeconomic model. The Allee effect component was the positive relationship between the mating probability and the density of spawners. A depensation function with an offset to the right side of the origin represented the fraction of females that mated based on density. When the model did not include the Allee effect, the fishery reached the bioeconomic equilibrium; however, when the Allee effect was considered, the fishery did not reach equilibrium, but the stock collapsed in 15 years. Fishing mortality altered the spatial distribution of the stock, causing depensation in recruits per spawner. These results may contribute to a better understanding of the Allee effect on sedentary resources and can be used to explore new models.
About Me
During more than 20 years, I have been involved in fisheries research and fisheries management. I started my career after finishing my Bachelor in Biology (major in Ecology) from the National Autonomous University of Mexico. When I got a Master in Science degree (Marine Biology) from the Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico, I had the chance to learn the basic techniques for stock assessment; from the simple surplus production models to the catch at age analysis and stock assessment. From 1995 to 2000, I worked as Scientist Researcher for the Federal government in Mexico (IMIPAS). In that position I had the opportunity to receive training courses in stock assessment with Dr. Ray Hilborn (University of Washington), Dr. Carl Walters and Dr. Daniel Pauly, Dr. Villy Christensen, (University of British Columbia); training in Fisheries Economics with Dr. John Sutinen (University of Rhode Island), Dr. Lee G. Anderson (University of Delaware), and Dr. Juan Carlos Seijo (Universidad Marista of Mexico).
As scientist researcher I participated in international meetings such as OECD (Committee for Fisheries) and bilateral meetings between Mexico and United States to discuss finfish and shrimp fisheries issues. In 2000 I got a Diploma as Fellow of the international program Leadership for Environment and Development, from The College of Mexico.
As I became more interested on bio-economics, I developed and applied models to support decisio