Victor Hernandez-Trejo

Dr. Victor Hernandez-Trejo

Universidad Autónoma de Baja California Sur, Mexico, New York, USA
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2016 in Ecosystem Services
Verified
Journal Article
Closed access
GPGustavo Perez-Verdin
Gustavo Perez-Verdin
ESEnrique Sanjurjo-Rivera
Enrique Sanjurjo-Rivera
LGLeopoldo Galicia
Leopoldo Galicia
JHJose Ciro Hernandez-Diaz
Jose Ciro Hernandez-Diaz
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
MMMarco Antonio Marquez-Linares
Marco Antonio Marquez-Linares

1 July 2016 in Marine Policy
Verified
Journal Article
Closed access
ACAndrés M. Cisneros-Montemayor
Andrés M. Cisneros-Montemayor
ESEnrique Sanjurjo
Enrique Sanjurjo
GMGordon R. Munro
Gordon R. Munro
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
USU. Rashid Sumaila
U. Rashid Sumaila

10 December 2020 in Climate
Verified
Journal Article
Open access
PDF file
EMElvia Aida Marin Monroy
Elvia Aida Marin Monroy
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
EREleonora Romero-Vadillo
Eleonora Romero-Vadillo
ABAntonina Ivanova Boncheva
Antonina Ivanova Boncheva
Coastal cities have seen an unprecedented growth with regional settlements due to development activities; that is why measures are needed to mitigate risk of adverse events such as tropical cyclones. Baja California Sur, a state known as a relevant ecological and tourist region, includes destinations such as Cabo San Lucas and La Paz, impacted yearly by tropical cyclones, so it is important to design contingency plans and provide available information to the residents. Los Cabos municipality has the highest population growth rate and its inhabitants are more susceptible to adverse events; despite this, there were no indicators of social and ecological vulnerability to risk effects of tropical cyclones. The objective of this research is to calculate the socio-environmental vulnerability of households through an index to identify risk factors. We have obtained a classification according to levels of vulnerability, and the results have shown that 74% of the households are high on the vulnerability scale, 21% of households are moderately vulnerable and only the remaining 5% of households are less vulnerable. In conclusion, the devastating effects of hydrometeorological events were mainly due to a lack of knowledge regarding such events among inhabitants.

20 February 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
EMElvia Aida Marin Monroy
Elvia Aida Marin Monroy
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
MRMiguel Angel Ojeda Ruiz
Miguel Angel Ojeda Ruiz
GAGerzaín Avilés-Polanco
Gerzaín Avilés-Polanco
BLBarbara Nuñez León
Barbara Nuñez León
Climate change will increase the likelihood of adverse events such as droughts, forest fires, and intensification of tropical cyclones, which are known to cause flooding (IPCC, 2014). The effects of these events are a cause of concern for both authorities and citizens, so they prioritize actions that reduce adverse impacts, especially in cities with higher risk. Therefore, the objective of this work was to measure the degree of socio-environmental vulnerability of households to identify the risk areas in the city of La Paz, Baja California Sur, one of the regions with a high degree of incidence of hurricanes in the northwest of Mexico. For this, surveys were carried out with heads of households in 251 homes, and information was aggregated to calculate the vulnerability index through principal components analysis (PCA), which were stratified by the Dalenius–Hodges method, the degree of vulnerability was classified into three categories by the Opiyo method, considering three strata of the Likert scale, 1 = highly vulnerable, 2 = moderately vulnerable, 3 = less vulnerable. The results showed that households that are in the highly vulnerable category are 33% within a range of the index −3.77243 to −0.939141. Moderately vulnerable households constitute 36% with values from −0.929141 to 0.956385. While the least vulnerable represent 31% of households with an index range of 0.966385 to 5.6952. The results have revealed the levels of high and moderate socio-environmental vulnerability by tropical cyclones of 69% homes in La Paz. The above allowed to generate risk maps that will be taken into account in planning and civil protection over adverse events.
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29 September 2016 in Water
Verified
Journal Article
Open access
PDF file
MAMarco Antonio Almendarez-Hernández
Marco Antonio Almendarez-Hernández
GAGerzaín Avilés
Gerzaín Avilés
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
Alfredo Ortega-RubioAlfredo Ortega-Rubio
Alfredo Ortega-Rubio
LBLuis Beltran
Luis Beltran
The purpose of this paper is to provide empirical evidence for policy-makers of water management, evaluate the applicability of economic variables such as price and other factors that affect demand, and determine the impact thereof on decision-making surrounding water management in the El Vizcaino Biosphere Reserve in Mexico. We estimated a dynamic function with an average price specification, as well as price perception specification. Findings demonstrated that consumers tend to react to perceived average price but not to the marginal price. Furthermore, long-term price elasticity was found to be higher than short-term elasticity, and both elasticities were found to be inelastic. Inelastic elasticities, coupled with rising prices, generate substantial revenues with which to improve water planning and supply quality and to expand service coverage. The results suggest that users’ level of knowledge surrounding price is a key factor to take into account when restructuring rates, especially in situations where consumers do not readily possess the necessary information about their rate structure and usage within a given billing period. Furthermore, the results can help water management policy-makers to achieve goals of economic efficiency, social equity, and environmental sustainability.

16 June 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
EMElvia Aida Marin Monroy
Elvia Aida Marin Monroy
Victor Hernandez-TrejoVictor Hernandez-Trejo
Victor Hernandez-Trejo
MRMiguel Angel Ojeda Ruiz
Miguel Angel Ojeda Ruiz
EREleonora Romero-Vadillo
Eleonora Romero-Vadillo
ABAntonina Ivanova Boncheva
Antonina Ivanova Boncheva
Climate change has resulted in severe consequences of hydrometeorological phenomena. The municipality of Los Cabos, Mexico, has been the most affected in the state of Baja California Sur by these hazards due to its location on the southern tip of the peninsula, being exposed with approximately 192 km of coastline; it is an environmental heritage that has made the area a primary tourist attraction in Mexico, which has caused a rapid growth in population with little knowledge about cyclone activity. In addition, there is limited knowledge regarding social indicators that measure vulnerability due to tropical cyclones. Based on the above, the objective of this study was to capture community perceptions about vulnerability related to tropical cyclones and to compare the results with real impacts and their index of socioenvironmental vulnerability, which includes indicators of exposure, sensitivity, and adaptive capacity, to provide useful information to form strategies to mitigate risk. Data were collected through a questionnaire-survey in 335 randomly selected households; we applied a probability model to the perception analysis and calculated an index to categorize vulnerability. We found differences between perceptions and real affectations, with 64% of households categorized as being highly vulnerable to tropical cyclones, and we detected a lower perception about damage suffered to their households. The variables related to knowledge and local or foreigner status were predictors of vulnerability perception. We included georeferenced data on flooding hazard maps as a strategy for adaptation.