- Nació en Morelos, México. Es egresado de la carrera de Biología Marina en la Universidad Autónoma de Baja California... moreNació en Morelos, México.
Es egresado de la carrera de Biología Marina en la Universidad Autónoma de Baja California Sur (UABCS), obteniendo el título con la tesis titulada “Determinación histológica del efecto de exposición a emersión sobre el sistema branquial de la langosta roja Panulirus interruptus (RANDALL, 1840) a dos temperaturas”.
Obtuvo el grado de Maestro en Ciencias Marinas y Costeras con orientación en Manejo Sustentable en la UABCS en el año 2013, con la tesis titulada “Evaluación de la vulnerabilidad costera y medidas de adaptación al Cambio Climático en la región sur de la Bahía de La Paz”.
Obtuvo el grado de Doctor en Ciencias Marinas y Costeras con orientación en Manejo Sustentable, del Posgrado CIMACO en la UABCS inscrito en el Padrón Nacional de Posgrados de Calidad del CONACYT, con la distinción "Cum Laude" en su examen de grado.
Se desarrolló laboralmente como Técnico Ambiental en la entonces SEDUE en el año de 1992; e incursionó como técnico del laboratorio de producción de postlarvas de camarón en la empresa NauplioLab.
Fue socio del laboratorio de producción de postlarvas de camarón Aqualarv, S.A. de C.V., en 1996.
Fungió desde 1997 hasta julio de 2010 como socio y Director General de la empresa Consultoría Ambiental GEOBÍOS, S.A. de C.V., siendo responsable de la elaboración y supervisión de gran parte de los estudios de Manifestación de Impacto Ambiental y Estudios Técnicos Justificativos, además de asesor y colaborador en la conceptualización, asesoría y desarrollo de Proyectos Productivos Acuícolas, Seguimientos y Supervisión de Autorizaciones Ambientales, Estudios de Factibilidad Técnica, Económica y Financiera, entre otros.
Es profesor por asignatura en la UABCS, impartiendo materias en el Área de Conocimiento de Ciencias del Mar y de la Tierra.
Pertenece al Sistema Nacional de Investigadores (SNI) con el nivel de Candidato a Investigador Nacional (2019-2021).
Es actualmente consultor ambiental en ARMONI Consultores (https://www.facebook.com/armoniconsultor), realizando estudios y proyectos ambientales, evaluaciones, supervisión de proyectos en materia ambiental, estudios especiales costeros y marinos, seguimiento de términos y condicionantes ambientales y forestales, impartición de cursos en sistemas de información geográfica y percepción remota (teledetección) niveles básico e intermedio para empresas, instituciones, OSC, gobierno.edit
Coastal zones and adjacent land areas support 60% of the human population and eight of the top ten largest cities in the world. These regions are exposed to natural hazards and climate change induced stresses, which requires continuous... more
Coastal zones and adjacent land areas support 60% of the human population and eight of the top ten largest cities in the world. These regions are exposed to natural hazards and climate change induced stresses, which requires continuous assessments of their vulnerability in many coastal regions around the world. Evaluations and monitoring of vulnerability models in coastal areas will assist in formulating environmental policies and guiding decision makers to address the
central tenets for the sustainable development of coastal cities. Baja California Sur (BCS) is the Mexican state with the longest coastline in the nation, and its capital city of La Paz is the most crowded city and without a vulnerability assessment. In this context, La Paz was regionalized based on biotic, natural landscape and socioeconomic factors within geographic information systems, obtaining 74 environmental units (EnvU). Assessment of each unit with a coastal vulnerability model used physical, environmental and socioeconomic indicators and composed indices which considered three main elements: 1) a fixed component defined by Coastal Vulnerability Index; 2) a Pressure Index; and 3) a
Fragility Index. Nearly 38% of EnvU and over 60% of total area showed high and very high fragility, including the capital city. Only 7% of EnvU and 14% of all the area of interest presented high and very high pressure. Nearly a third of EnvU had high and very high vulnerability, mainly in La Paz and southwest of the study area without actual human pressure, especially due to the presence of lower slopes and high-energy streams. Results allow focusing efforts on environmental policy instruments to implement adaptation measures for sustainable development in the BCS region.
central tenets for the sustainable development of coastal cities. Baja California Sur (BCS) is the Mexican state with the longest coastline in the nation, and its capital city of La Paz is the most crowded city and without a vulnerability assessment. In this context, La Paz was regionalized based on biotic, natural landscape and socioeconomic factors within geographic information systems, obtaining 74 environmental units (EnvU). Assessment of each unit with a coastal vulnerability model used physical, environmental and socioeconomic indicators and composed indices which considered three main elements: 1) a fixed component defined by Coastal Vulnerability Index; 2) a Pressure Index; and 3) a
Fragility Index. Nearly 38% of EnvU and over 60% of total area showed high and very high fragility, including the capital city. Only 7% of EnvU and 14% of all the area of interest presented high and very high pressure. Nearly a third of EnvU had high and very high vulnerability, mainly in La Paz and southwest of the study area without actual human pressure, especially due to the presence of lower slopes and high-energy streams. Results allow focusing efforts on environmental policy instruments to implement adaptation measures for sustainable development in the BCS region.
Research Interests:
Coastal zones and adjacent land areas support 60% of the human population and eight of the top-10 largest cities in the world. These regions are exposed to natural hazards and climate-change-induced stresses, which requires continuous... more
Coastal zones and adjacent land areas support 60% of the human population and eight of the top-10 largest cities in the world. These regions are exposed to natural hazards and climate-change-induced stresses, which requires continuous assessments of their vulnerability in many coastal regions around the world. Evaluations and monitoring of vulnerability models in coastal areas will assist in formulating environmental policies and guiding decision-makers to address the central tenets for the sustainable development of coastal cities. Baja California Sur (BCS) is the Mexican state with the longest coastline in the nation, and its capital city of La Paz is the most crowded city and without a vulnerability assessment. In this context, La Paz was regionalized based on biotic, natural landscape and socio-economic factors within geographic information systems, obtaining 74 environmental units (EnvUs). Assessment of each unit with a coastal vulnerability model involved physical, environmental and socio-economic indicators and composed indices which considered three main elements: (1) a fixed component defined by Coastal Vulnerability Index; (2) a Pressure Index and (3) a Fragility Index. Nearly 38% of EnvU and over 60% of total area showed high and very high fragility, including the capital city. Only 7% of EnvU and 14% of all the area of interest presented high and very high pressure. Nearly a third of EnvU had high and very high vulnerability, mainly in La Paz and southwest of the study area without actual human pressure, especially due to the presence of lower slopes and high-energy streams. Results allow focusing efforts on environmental policy instruments to implement adaptation measures for sustainable development in the BCS region.
Research Interests:
Coastal zones and adjacent land areas support 60% of the human population and eight of the top-10 largest cities in the world. These regions are exposed to natural hazards and climate-change-induced stresses, which requires continuous... more
Coastal zones and adjacent land areas support 60% of the human population and eight of the top-10 largest cities in the world.
These regions are exposed to natural hazards and climate-change-induced stresses, which requires continuous assessments of
their vulnerability in many coastal regions around the world. Evaluations and monitoring of vulnerability models in coastal
areas will assist in formulating environmental policies and guiding decision-makers to address the central tenets for the
sustainable development of coastal cities. Baja California Sur (BCS) is the Mexican state with the longest coastline in the
nation, and its capital city of La Paz is the most crowded city and without a vulnerability assessment. In this context, La
Paz was regionalized based on biotic, natural landscape and socio-economic factors within geographic information
systems, obtaining 74 environmental units (EnvUs). Assessment of each unit with a coastal vulnerability model involved
physical, environmental and socio-economic indicators and composed indices which considered three main elements: (1)
a fixed component defined by Coastal Vulnerability Index; (2) a Pressure Index and (3) a Fragility Index. Nearly 38% of
EnvU and over 60% of total area showed high and very high fragility, including the capital city. Only 7% of EnvU and
14% of all the area of interest presented high and very high pressure. Nearly a third of EnvU had high and very high
vulnerability, mainly in La Paz and southwest of the study area without actual human pressure, especially due to the
presence of lower slopes and high-energy streams. Results allow focusing efforts on environmental policy instruments to
implement adaptation measures for sustainable development in the BCS region.
These regions are exposed to natural hazards and climate-change-induced stresses, which requires continuous assessments of
their vulnerability in many coastal regions around the world. Evaluations and monitoring of vulnerability models in coastal
areas will assist in formulating environmental policies and guiding decision-makers to address the central tenets for the
sustainable development of coastal cities. Baja California Sur (BCS) is the Mexican state with the longest coastline in the
nation, and its capital city of La Paz is the most crowded city and without a vulnerability assessment. In this context, La
Paz was regionalized based on biotic, natural landscape and socio-economic factors within geographic information
systems, obtaining 74 environmental units (EnvUs). Assessment of each unit with a coastal vulnerability model involved
physical, environmental and socio-economic indicators and composed indices which considered three main elements: (1)
a fixed component defined by Coastal Vulnerability Index; (2) a Pressure Index and (3) a Fragility Index. Nearly 38% of
EnvU and over 60% of total area showed high and very high fragility, including the capital city. Only 7% of EnvU and
14% of all the area of interest presented high and very high pressure. Nearly a third of EnvU had high and very high
vulnerability, mainly in La Paz and southwest of the study area without actual human pressure, especially due to the
presence of lower slopes and high-energy streams. Results allow focusing efforts on environmental policy instruments to
implement adaptation measures for sustainable development in the BCS region.
Research Interests:
RESUMEN El riesgo y las amenazas naturales son condiciones asociadas al devenir de las sociedades, desde el inicio de la historia de la Humanidad con el desconocimiento del funcionamiento de la naturaleza y el temor ante sus fenómenos... more
RESUMEN
El riesgo y las amenazas naturales son condiciones asociadas al devenir de las sociedades, desde el inicio de la historia de la Humanidad con el desconocimiento del funcionamiento de la naturaleza y el temor ante sus fenómenos extremos, hasta la reciente influencia de sus actividades en los procesos de cambio climático. La vulnerabilidad de un sistema es el grado en el que un sistema es susceptible o incapaz de enfrentarse a efectos adversos ante un fenómeno, incluidos la variabilidad y los extremos del clima, y está en función del carácter, magnitud y rapidez del cambio climático, así como de la variación a la que está expuesto, de su sensibilidad y capacidad de adaptación. la evaluación de la vulnerabilidad se concibe en función de dos estructuras de referencia: el modelo Presión-Estado-Respuesta y el marco de referencia Exposición-Sensibilidad-Capacidad de Adaptación. Una forma de evaluar la V es mediante el uso de indicadores e índices adecuados a través de los modelos. Existen diversos estudios que han evaluado la vulnerabilidad por los impactos del CC para los ámbitos ambiental, social o económico; sin embargo, no hay mucho de ellos que realicen estas evaluaciones de manera integral. Se han propuesto y considerado mucho menos indicadores ecológicos que sociales, y la mayoría de los indicadores ambientales de la literatura corresponden a bases de datos obtenidos a escala estatal, nacional e internacional, pero muy pocos a escala local. Se desarrolló un modelo de evaluación del Riesgo-Vulnerabilidad por amenazas clave asociadas al cambio climático (sequía, lluvias torrenciales e incremento del nivel medio del mar) en zonas costeras, integrando índices compuestos bióticos, abióticos y socioeconómicos; a fin de que incida en los instrumentos de gestión local vigentes. Se aplicó y ajustó a 3 estudios de caso (EC). El modelo del 1er EC mostró que 31% de UA con V Alta-Muy Alta; zona urbana de La Paz, sur Cuenca El Novillo, noroeste de El Comitán (26% de superficie total). La Fortaleza del modelo base es su marco conceptual, pero la utilidad del mismo es la parte adaptable, puede ser modificada dependiendo de los indicadores que se tengan disponibles. presentó limitaciones en la subjetividad para la selección y ponderación de los indicadores. El Modelo en el 2º EC demostró que 10 acuíferos en situación crítica por V Alta-Muy Alta (59% de superficie BCS). Se fundamentó en el marco de E-S-CA, con indicadores distintos (amenaza por sequía), ponderación menos subjetiva (AHP) que en el primero. En 3er EC, el Modelo determinó que 20% de zona de estudio con Media V; 16% con Alta-Muy alta V. El Modelo fue más robusto, con agrupación de variables por similitud y significación estadística, pesos por análisis estadístico, y reducción de variables por bajo aporte al modelo. El análisis de sensibilidad del modelo incluyó la transformación, normalización, pesos por valor importancia de cada variable y % contribución de los factores. Este nuevo modelo de vulnerabilidad, integra todos los marcos de referencia existentes en la literatura especializada.
ABSTRACT
Risk and natural hazards are conditions associated with the evolution of societies, from the beginning of the history of Humanity with the ignorance of the functioning of nature and the fear of its extreme phenomena, until the recent influence of its activities on the processes of climate change. The vulnerability (V) of a system is the degree to which a system is susceptible or unable to cope with adverse effects to a phenomenon, including variability and extremes of climate, and is a function of the nature, magnitude and speed of climate change, as well as as of the variation to which it is exposed, of its sensitivity and ability to adapt. Vulnerability assessment is conceived in terms of two main frameworks: the Pressure-State-Response model and the Exposure-Sensibility-Adaptation Capacity model. A way to evaluate V is through the use of appropriate indicators and indices through models. There are several studies that have assessed vulnerability due to the impacts of climate change for environmental, social or economic systems; however, there is not much of them that carry out these evaluations comprehensively. Much less ecological than social indicators have been proposed and considered, and most of the environmental indicators in the literature correspond to databases obtained at national and international level, but very few at local level. A Risk-Vulnerability assessment model was developed for key threats associated with climate change (drought, torrential rains and mean sea level rise) in coastal areas, integrating biotic, abiotic and socioeconomic indexes; so that it affects the current local management instruments. It was applied and adjusted to 3 case studies (EC). The 1st EC model showed that 31% of environmetal units (UA) with High-Very High V; urban area of La Paz, south Cuenca El Novillo, northwest of El Comitán (26% of total area). The strength of the base model is its conceptual framework, but the usefulness of it is the adaptive part, it can be modified depending on the indicators that are available. It presented limitations in subjectivity for the selection and weighting of the indicators. The Model in the 2nd EC showed that 10 aquifers were in critical situation by High-Very High V (59% of BCS total area). It was based on the E-S-AC framework, with different indicators (threat due to drought), less subjective weighting (AHP) than in the first one. In 3rd EC, the Model determined that 20% of study area had Media V; and 16% had High-Very High V. The Model was more robust, with grouping of variables by similarity (Multidimensional Scaling) and statistical significance, weight by statistical analysis (Principal Components), and reduction of variables by low contribution to the model. The sensitivity analysis of the model included the transformation, normalization, weights by importance value of each variable and % contribution of the factors. This new vulnerability model integrates all existing reference frameworks in the specialized literature.
El riesgo y las amenazas naturales son condiciones asociadas al devenir de las sociedades, desde el inicio de la historia de la Humanidad con el desconocimiento del funcionamiento de la naturaleza y el temor ante sus fenómenos extremos, hasta la reciente influencia de sus actividades en los procesos de cambio climático. La vulnerabilidad de un sistema es el grado en el que un sistema es susceptible o incapaz de enfrentarse a efectos adversos ante un fenómeno, incluidos la variabilidad y los extremos del clima, y está en función del carácter, magnitud y rapidez del cambio climático, así como de la variación a la que está expuesto, de su sensibilidad y capacidad de adaptación. la evaluación de la vulnerabilidad se concibe en función de dos estructuras de referencia: el modelo Presión-Estado-Respuesta y el marco de referencia Exposición-Sensibilidad-Capacidad de Adaptación. Una forma de evaluar la V es mediante el uso de indicadores e índices adecuados a través de los modelos. Existen diversos estudios que han evaluado la vulnerabilidad por los impactos del CC para los ámbitos ambiental, social o económico; sin embargo, no hay mucho de ellos que realicen estas evaluaciones de manera integral. Se han propuesto y considerado mucho menos indicadores ecológicos que sociales, y la mayoría de los indicadores ambientales de la literatura corresponden a bases de datos obtenidos a escala estatal, nacional e internacional, pero muy pocos a escala local. Se desarrolló un modelo de evaluación del Riesgo-Vulnerabilidad por amenazas clave asociadas al cambio climático (sequía, lluvias torrenciales e incremento del nivel medio del mar) en zonas costeras, integrando índices compuestos bióticos, abióticos y socioeconómicos; a fin de que incida en los instrumentos de gestión local vigentes. Se aplicó y ajustó a 3 estudios de caso (EC). El modelo del 1er EC mostró que 31% de UA con V Alta-Muy Alta; zona urbana de La Paz, sur Cuenca El Novillo, noroeste de El Comitán (26% de superficie total). La Fortaleza del modelo base es su marco conceptual, pero la utilidad del mismo es la parte adaptable, puede ser modificada dependiendo de los indicadores que se tengan disponibles. presentó limitaciones en la subjetividad para la selección y ponderación de los indicadores. El Modelo en el 2º EC demostró que 10 acuíferos en situación crítica por V Alta-Muy Alta (59% de superficie BCS). Se fundamentó en el marco de E-S-CA, con indicadores distintos (amenaza por sequía), ponderación menos subjetiva (AHP) que en el primero. En 3er EC, el Modelo determinó que 20% de zona de estudio con Media V; 16% con Alta-Muy alta V. El Modelo fue más robusto, con agrupación de variables por similitud y significación estadística, pesos por análisis estadístico, y reducción de variables por bajo aporte al modelo. El análisis de sensibilidad del modelo incluyó la transformación, normalización, pesos por valor importancia de cada variable y % contribución de los factores. Este nuevo modelo de vulnerabilidad, integra todos los marcos de referencia existentes en la literatura especializada.
ABSTRACT
Risk and natural hazards are conditions associated with the evolution of societies, from the beginning of the history of Humanity with the ignorance of the functioning of nature and the fear of its extreme phenomena, until the recent influence of its activities on the processes of climate change. The vulnerability (V) of a system is the degree to which a system is susceptible or unable to cope with adverse effects to a phenomenon, including variability and extremes of climate, and is a function of the nature, magnitude and speed of climate change, as well as as of the variation to which it is exposed, of its sensitivity and ability to adapt. Vulnerability assessment is conceived in terms of two main frameworks: the Pressure-State-Response model and the Exposure-Sensibility-Adaptation Capacity model. A way to evaluate V is through the use of appropriate indicators and indices through models. There are several studies that have assessed vulnerability due to the impacts of climate change for environmental, social or economic systems; however, there is not much of them that carry out these evaluations comprehensively. Much less ecological than social indicators have been proposed and considered, and most of the environmental indicators in the literature correspond to databases obtained at national and international level, but very few at local level. A Risk-Vulnerability assessment model was developed for key threats associated with climate change (drought, torrential rains and mean sea level rise) in coastal areas, integrating biotic, abiotic and socioeconomic indexes; so that it affects the current local management instruments. It was applied and adjusted to 3 case studies (EC). The 1st EC model showed that 31% of environmetal units (UA) with High-Very High V; urban area of La Paz, south Cuenca El Novillo, northwest of El Comitán (26% of total area). The strength of the base model is its conceptual framework, but the usefulness of it is the adaptive part, it can be modified depending on the indicators that are available. It presented limitations in subjectivity for the selection and weighting of the indicators. The Model in the 2nd EC showed that 10 aquifers were in critical situation by High-Very High V (59% of BCS total area). It was based on the E-S-AC framework, with different indicators (threat due to drought), less subjective weighting (AHP) than in the first one. In 3rd EC, the Model determined that 20% of study area had Media V; and 16% had High-Very High V. The Model was more robust, with grouping of variables by similarity (Multidimensional Scaling) and statistical significance, weight by statistical analysis (Principal Components), and reduction of variables by low contribution to the model. The sensitivity analysis of the model included the transformation, normalization, weights by importance value of each variable and % contribution of the factors. This new vulnerability model integrates all existing reference frameworks in the specialized literature.
Research Interests:
El cambio climático es un fenómeno a escala mundial, representa una de las principales preocupaciones de las sociedades y gobiernos en el planeta. Una de las afectaciones con mayor impacto, que provocará sobre la infraestructura física de... more
El cambio climático es un fenómeno a escala mundial, representa una de las principales preocupaciones de las sociedades y gobiernos en el planeta. Una de las afectaciones con mayor impacto, que provocará sobre la infraestructura física de las ciudades costeras y los puertos, y a la larga sobre el nivel de vida de países enteros, es la elevación del nivel del mar. Este estudio realizó una revisión de las causas de la elevación del nivel del mar en el planeta, y la razón por la que este cambio no es general, describiendo los impactos de la infiltración del agua marina hacia niveles más elevados en las costas mexicanas. Para ello, consideramos algunos esfuerzos que la academia y gobierno federal están llevando a cabo para poder pronosticar mejor los impactos potenciales, y para buscar formas de atenuarlos. Las proyecciones realizadas sobre el incremento del nivel medio del mar para varias ciudades costeras del país presentan tendencias que varían regionalmente, pero generalmente ascendentes. Los estudios identifican casi todo el litoral costero del Golfo de México con afectaciones en las zonas costeras de los estados de Tamaulipas, Veracruz, Tabasco, Campeche, Yucatán, Quintana Roo; así como Sinaloa, Baja California Sur, Nayarit y Chiapas en la costa del Pacífico, hacia finales del presente siglo. El problema del aumento del nivel del mar aún no es visible para el pleno de la población del país, quienes viven en zonas de gran altitud. Es fundamental llevar a cabo evaluaciones sobre la susceptibilidad de las comunidades del país que generalmente tienen tamaños poblacionales pequeños, y que por su relativo aislamiento y bajo nivel económico, están expuestos a un elevado riesgo de ver afectado su patrimonio y su modo de vida en las próximas décadas.
Research Interests:
This essay examines the factors that determine water availability for Loreto, including climate, hydrology, potable water supply, and water demand and use. The study also explores options for increasing the water supply needs in the face... more
This essay examines the factors that determine water availability for Loreto, including climate, hydrology, potable water supply, and water demand and use. The study also explores options for increasing the water supply needs in the face of expanding population and development and the challenges of climate change. Specifically, the chapter examines the impact of drought and assess the vulnerability of aquifers owing to climate change. Finally, we discuss the potential impacts of integrally planned tourist developments similar those in Los Cabos, given the precarious nature of Loreto’s water supply, and the need for strategies to prevent, mitigate or compensate this impacts.
ISBN: 978-1-938537-17-2
ISBN: 978-1-938537-17-2
Research Interests:
Because of its geography, Mexico is one of the most vulnerable countries to the effects of climate change. Threats include intense and prolonged droughts, rise in the mean sea level, areas susceptible to flooding due to overflow of rivers... more
Because of its geography, Mexico is one of the most vulnerable countries to the effects of climate change. Threats include intense and prolonged droughts, rise in the mean sea level, areas susceptible to flooding due to overflow of rivers and streams, increase in the average temperature and its heat waves, impacts on the health of the population, reduction in access to water, intensification of migratory flows, and increase in the concentration of the population in urban areas. The vulnerability of a system is the degree of ability or inability it has to face adverse effects that are generated by the action of an adverse phenomenon or event. Since human and natural systems are integrally linked, it is necessary to use a socio-economic-biological-environmental systems approach (SEBES) to assess coastal vulnerability to climate change. Human and environmental indicators for the local level are used for this analysis. For the assessment of coastal vulnerability in Loreto, González-Baheza proposed the use of 86 social, economic, biological, and environ-mental base indicators to generate composite indices. The comprehensive analysis for vulnerability in the region of Loreto adapted the index proposed by Gonzalez-Baheza and Arizpe within SEBES approach. Here, the only results of the analysis for Loreto are presented; full details of the model are to be found in Gonzalez-Baheza and Arizpe (2017) and in Gonzalez-Baheza (2017).
ISBN: 978-1-938537-17-2
ISBN: 978-1-938537-17-2