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Climate change and the northern elephant seal (Mirounga angustirostris) population in Baja California, Mexico

M. Concepción García-Aguilar (2018, [Artículo])

The Earth0s climate is warming, especially in the mid- and high latitudes of the Northern Hemisphere. The northern elephant seal (Mirounga angustirostris) breeds and haul-outs on islands and the mainland of Baja California, Mexico, and California, U.S.A. At the beginning of the 21st century, numbers of elephant seals in California are increasing, but the status of Baja California populations is unknown, and some data suggest they may be decreasing. We hypothesize that the elephant seal population of Baja California is experiencing a decline because the animals are not migrating as far south due to warming sea and air temperatures. Here we assessed population trends of the Baja California population, and climate change in the region. The numbers of northern elephant seals in Baja California colonies have been decreasing since the 1990s, and both the surface waters off Baja California and the local air temperatures have warmed during the last three decades. We propose that declining population sizes may be attributable to decreased migration towards the southern portions of the range in response to the observed temperature increases. Further research is needed to confirm our hypothesis; however, if true, it would imply that elephant seal colonies of Baja California and California are not demographically isolated which would pose challenges to environmental and management policies between Mexico and the United States. © 2018 García-Aguilar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

air temperature, article, Baja California, climate change, human, Mirounga angustirostris, nonhuman, population size, warming, animal, ecosystem, environmental protection, Mexico, Phocidae, population density, population migration, temperature, Anima CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Estudios de genética en poblaciones de abulón y sus aplicaciones en ordenamiento pesquero

RICARDO PEREZ ENRIQUEZ NOE DIAZ VILORIA JOSE LUIS GUTIERREZ GONZALEZ ALEJANDRA ARCINIEGA DE LOS SANTOS ADRIANA MAX AGUILAR Pedro Cruz Hernández Fernando Aranceta Garza (2016, [Artículo])

"Se presenta la integración de más de 10 años de investigación científica en genética de las poblaciones de abulón en México realizada en el CIBNOR. Esta investigación muestra cómo se pueden aplicar los marcadores genéticos tanto en estudios de genética poblacional como en identificación forense con la finalidad de contribuir al conocimiento aplicado para manejo de la pesquería. Se desarrollaron marcadores genéticos tipo microsatélites de ADN enfocados tanto al abulón azul Haliotis fulgens como amarillo Haliotis corrugata para diferenciación de poblaciones y análisis de parentesco. Un análisis de estructura genética de las poblaciones silvestres de ambas especies de abulón mostró homogeneidad genética en la costa del Pacífico en la región centro-sur de la Península de Baja California, México, pero con diferenciación genética en localidades distantes debido a un flujo genético limitado producto del aislamiento reproductivo. Por ello, no existen elementos que den soporte a un manejo pesquero delimitado por bancos en ambas especies. De manera particular, el abulón amarillo mostró una menor de diversidad genética que el azul, posiblemente debido a una mayor explotación pesquera histórica. Los resultados obtenidos en pruebas de parentesco han indicado que la retención larvaria en bancos específicos es reducida, por lo que ni la agregación de reproductores ni la liberación de larvas han mostrado ser estrategias eficientes para favorecer el incremento de reclutas en bancos definidos. Un análisis de perfiles genéticos con el gen de la lisina permitió la identificación de las especies de abulón que se capturan y enlatan en México. El análisis comparativo de perfi les genéticos, basado en el gen nuclear 18S de abulón y otros moluscos, detectó producto enlatado conteniendo especies de moluscos comercializadas falsamente como abulón, lo que puede constituirse como una herramienta forense en futuras disputas legales. Este tipo de aplicación es potencialmente utilizable con otros productos comestibles en los cuales se sospecha de prácticas fraudulentas, ya sea por captura o comercialización ilegal o por sustitución de contenidos en productos procesados."

"This is an integrative work of more than 10 years of research in population genetics of abalone in Mexico performed at CIBNOR. It shows how molecular tools have the potential to support abalone fisheries management through population genetics and forensic analyses. Microsatellite DNA markers were developed on blue (green for its name in English) Haliotis fulgens and yellow abalone (pink for its name in English) H. corrugata to be used for genetic differentiation on populations and for parentage analysis. The analysis of genetic structure on wild populations of both species revealed genetic homogeneity in the Pacific coast of the central region of the Baja California Peninsula, Mexico, with genetic differentiation on distant localities due to a limited gene flow as a result of reproduction isolation. From this result we suggest that no evidences were found supporting the management of the fishery based on individual abalone beds. Pink abalone shows lower genetic diversity than green abalone, possibly due to higher historical fishery exploitation. The parentage analysis suggested that larval retention within beds is reduced, indicating that neither broodstockaggregation nor the release of abalone larvae for stock enhancement are efficient strategies to increase recruitment in specific beds.

An analysis of the genetic profiles with the lysine gene allowed the identification of abalone species captured and processed in Mexico. The comparative analysis, based on the 18S gene, among abalone and other mollusks, detected canned product containing mollusks that are commercialized allegedly as abalone or ‘abalone type’, which could constitute a forensic tool in future legal disputes. This type of application can also be used with other edible products in which fraudulent practices are suspected either because of illegal catch or commercialization or substitution in processed products."

Análisis forense, diversidad genética, gen 18S, genética de poblaciones, marcadores genéticos, retención larvaria Forensic analysis, genetic diversity, 18S gene, genetic markers, population genetics, larval retention BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA GENÉTICA DE POBLACIONES GENÉTICA DE POBLACIONES

Effects of geostrophic kinetic energy on the distribution of mesopelagic fish larvae in the southern Gulf of California in summer/fall stratified seasons

FERNANDO CONTRERAS CATALA (2016, [Artículo])

Effects of geostrophic kinetic energy flux on the three-dimensional distribution of fish larvae of mesopelagic species (Vinciguerria lucetia, Diogenichthys laternatus, Benthosema panamense and Triphoturus mexicanus) in the southern Gulf of California during summer and fall seasons of stronger stratification were analyzed. The greatest larval abundance was found at sampling stations in geostrophic kinetic energy-poor areas (<7.5 J/m3), where the distribution of the dominant species tended to be stratified. Larvae of V. lucetia (average abundance of 318 larvae/10m2) and B. panamense (174 larvae/10m2) were mostly located in and above the pycnocline (typically ∼ 40 m depth). In contrast, larvae of D. laternatus (60 larvae/10m2) were mainly located in and below the pycnocline. On the other hand, in sampling stations from geostrophic kinetic energy-rich areas (> 21 J/m3), where mesoscale eddies were present, the larvae of the dominant species had low abundance and were spread more evenly through the water column, in spite of the water column stratification. For example, in a cyclonic eddy, V. lucetia larvae (34 larvae/10m2) extended their distribution to, at least, the limit of sampling 200 m depth below the pycnocline, while D. laternatus larvae (29 larvae/10m2) were found right up to the surface, both probably as a consequence mixing and secondary circulation in the eddy. Results showed that the level of the geostrophic kinetic energy flux affects the abundance and the three-dimensional distribution of mesopelagic fish larvae during the seasons of stronger stratification, indicating that areas with low geostrophic kinetic energy may be advantageous for feeding and development of mesopelagic fish larvae because of greater water column stability. © 2016 Contreras-Catala et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Article, autumn, Benthosema panamense, Diogenichthys laternatus, environmental factor, environmental parameters, fish, geographic distribution, geostrophic kinetic energy, hydrography, larva, nonhuman, population abundance, population dispersion, pop CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Control de sistemas usando aprendizaje de máquina

Systems control using machine learning

Jesús Martín Miguel Martínez (2023, [Tesis de maestría])

El aprendizaje por refuerzo es un paradigma del aprendizaje de máquina con un amplio desarrollo y una creciente demanda en aplicaciones que involucran toma de decisiones y control. Es un paradigma que permite el diseño de controladores que no dependen directamente del modelo que describe la dinámica del sistema. Esto es importante ya que en aplicaciones reales es frecuente que no se disponga de dichos modelos de manera precisa. Esta tesis tiene como objetivo implementar un controlador óptimo en tiempo discreto libre de modelo. La metodología elegida se basa en algoritmos de aprendizaje por refuerzo, enfocados en sistemas con espacios de estado y acción continuos a través de modelos discretos. Se utiliza el concepto de función de valor (Q-función y función V ) y la ecuación de Bellman para resolver el problema del regulador cuadrático lineal para un sistema mecánico masa-resorte-amortiguador, en casos donde se tiene conocimiento parcial y desconocimiento total del modelo. Para ambos casos las funciones de valor son definidas explícitamente por la estructura de un aproximador paramétrico, donde el vector de pesos del aproximador es sintonizado a través de un proceso iterativo de estimación de parámetros. Cuando se tiene conocimiento parcial de la dinámica se usa el método de aprendizaje por diferencias temporales en un entrenamiento episódico, que utiliza el esquema de mínimos cuadrados con mínimos cuadrados recursivos en la sintonización del crítico y descenso del gradiente en la sintonización del actor, el mejor resultado para este esquema es usando el algoritmo de iteración de valor para la solución de la ecuación de Bellman, con un resultado significativo en términos de precisión en comparación a los valores óptimos (función DLQR). Cuando se tiene desconocimiento de la dinámica se usa el algoritmo Q-learning en entrenamiento continuo, con el esquema de mínimos cuadrados con mínimos cuadrados recursivos y el esquema de mínimos cuadrados con descenso del gradiente. Ambos esquemas usan el algoritmo de iteración de política para la solución de la ecuación de Bellman, y se obtienen resultados de aproximadamente 0.001 en la medición del error cuadrático medio. Se realiza una prueba de adaptabilidad considerando variaciones que puedan suceder en los parámetros de la planta, siendo el esquema de mínimos cuadrados con mínimos cuadrados recursivos el que tiene los mejores resultados, reduciendo significativamente ...

Reinforcement learning is a machine learning paradigm with extensive development and growing demand in decision-making and control applications. This technique allows the design of controllers that do not directly depend on the model describing the system dynamics. It is useful in real-world applications, where accurate models are often unavailable. The objective of this work is to implement a modelfree discrete-time optimal controller. Through discrete models, we implemented reinforcement learning algorithms focused on systems with continuous state and action spaces. The concepts of value-function, Q-function, V -function, and the Bellman equation are employed to solve the linear quadratic regulator problem for a mass-spring-damper system in a partially known and utterly unknown model. For both cases, the value functions are explicitly defined by a parametric approximator’s structure, where the weight vector is tuned through an iterative parameter estimation process. When partial knowledge of the dynamics is available, the temporal difference learning method is used under episodic training, utilizing the least squares with a recursive least squares scheme for tuning the critic and gradient descent for the actor´s tuning. The best result for this scheme is achieved using the value iteration algorithm for solving the Bellman equation, yielding significant improvements in approximating the optimal values (DLQR function). When the dynamics are entirely unknown, the Q-learning algorithm is employed in continuous training, employing the least squares with recursive least squares and the gradient descent schemes. Both schemes use the policy iteration algorithm to solve the Bellman equation, and the system’s response using the obtained values was compared to the one using the theoretical optimal values, yielding approximately zero mean squared error between them. An adaptability test is conducted considering variations that may occur in plant parameters, with the least squares with recursive least squares scheme yielding the best results, significantly reducing the number of iterations required for convergence to optimal values.

aprendizaje por refuerzo, control óptimo, control adaptativo, sistemas mecánicos, libre de modelo, dinámica totalmente desconocida, aproximación paramétrica, Q-learning, iteración de política reinforcement learning, optimal control, adaptive control, mechanical systems, modelfree, utterly unknown dynamics, parametric approximation, Q-learning, policy iteration INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES INTELIGENCIA ARTIFICIAL INTELIGENCIA ARTIFICIAL

Expansión poblacional reciente en la historia evolutiva de la anchoveta de California Engraulis mordax

Recent population expansion in the evolutionary history of the Californian anchovy Engraulis mordax

NOE DIAZ VILORIA LAURA SANCHEZ VELASCO RICARDO PEREZ ENRIQUEZ (2012, [Artículo])

"La anchoveta de California Engraulis mordax, es una especie templada que pudo haber pasado por un proceso de disyunción poblacional, debido al proceso postglacial de calentamiento del agua alrededor de la punta de la península de Baja California, hace unos 10,000 años. Se realizó un análisis genético para probar la hipótesis nula de homogeneidad genética entre el Golfo de California, México y el sur de California, EUA y si este era el caso, estimar el tiempo de surgimiento de haplotipos en términos de coalescencia. Se analizaron en total 80 secuencias de la región control hipervariable (ADNmt) de E. mordax, capturadas en la región central del Golfo de California (n = 40) y el sur de California (n = 40). A pesar del gran número de haplotipos únicos, no se observó diferenciación genética significativa entre localidades (FST = –0.0025, p = 0.686). Una distribución unimodal en la frecuencia del número de diferencias entre haplotipos indica un modelo de expansión rápida en el tamaño poblacional, que basado en una tasa mutacional de 3.6% por millón de años para la región control, indicó un tiempo de diferenciación nucleotídica relativamente reciente de aproximadamente 61,000 años. Este periodo de tiempo corresponde al Pleistoceno tardío, después de la formación de la península de Baja California, sugiriendo expansiones poblacionales en cada una de las localidades, seguidas del último episodio de glaciación, el cual quizás contribuyó a la migración de esta especie de afinidad templada entre las dos localidades y a su homogenización genética. Sin embargo este único evento reciente de flujo genético en la historia evolutiva de la especie, no explica por sí solo los patrones de distribución encontrados en las frecuencias de diferencias nucleotídicas."

"The Californian anchovy Engraulis mordax, a temperate species, may have undergone a process of population disjunction from experiencing post-glacial water heating processes around the tip of the Baja California Peninsula, Mexico about 10,000 b.p. A genetic analysis was performed to test the null hypothesis of genetic homogeneity between the Gulf of California and Southern California, U. S. A., and if this is the case, to estimate the time of haplotype emergence in terms of coalescence. A total of 80 sequences of the mtDNA hypervariable control region of E. mordax captured in the central Gulf of California (n = 40) and Southern California (n = 40) were analyzed. In spite of the large number of private haplotypes, no significant genetic differentiation among sites (FST = –0.0025, p = 0.686) was observed. An unimodal distribution of mismatch frequency between haplotypes indicated a model of rapid expansion in population size that, based on a mutation rate of 3.6% per million years in the control region, indicates a relatively recent nucleotide differentiation

time of approximately 61,000 years. This time period corresponds to the late Pleistocene, suggesting population expansions at each locality, followed by the last episode of glaciation, which may have contributed to migration of this temperate-affinity species between two locations and the genetic homogenization. However this unique recent event of gene flow in the evolutionary history of species does not explain by itself the mismatch distribution patterns found."

ADN mitocondrial, expansión poblacional reciente, flujo genético, región control, reloj molecular. Control region, gene flow, mitochondrial DNA, molecular clock, recent population expansion. BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) ZOOLOGÍA MARINA ZOOLOGÍA MARINA

Trophic ecology of Mexican Pacific harbor seal colonies using carbon and nitrogen stable isotopes

MARICELA JUAREZ RODRIGUEZ (2020, [Artículo])

There is limited information that provides a comprehensive understanding of the trophic ecology of Mexican Pacific harbor seal (Phoca vitulina richardii) colonies. While scat analysis has been used to determine the diet of some colonies, the integrative characterization of its feeding habits on broader temporal and spatial scales remains limited. We examined potential feeding grounds, trophic niche width, and overlap, and inferred the degree of dietary specialization using stable carbon and nitrogen isotope ratios (δ13C and δ15N) in this subspecies. We analyzed δ13C and δ15N on fur samples from pups collected at five sites along the western coast of the Baja California Peninsula, Mexico. Fur of natal coat of Pacific harbor seal pups begins to grow during the seventh month in utero until the last stage of gestation. Therefore pup fur is a good proxy for the mother's feeding habits in winter (∼December to March), based on the timing of gestation for the subspecies in this region. Our results indicated that the δ13C and δ15N values differed significantly among sampling sites, with the highest mean δ15N value occurring at the southernmost site, reflecting a well-characterized north to south latitudinal 15N-enrichment in the food web. The tendency identified in δ13C values, in which the northern colonies showed the most enriched values, suggests nearshore and benthic-demersal feeding habits. A low variance in δ13C and δ15N values for each colony (<1‰) and relatively small standard ellipse areas suggest a specialized foraging behavior in adult female Pacific harbor seals in Mexican waters. © 2020 Juárez-Rodríguez et al.

carbon, delta carbon 13, delta nitrogen 15, isotope, nitrogen, unclassified drug, carbon, nitrogen, Article, correlational study, feeding behavior, latitude, Mexico, nonhuman, organism colony, Pinnipedia, population abundance, species richness, troph BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) BIOLOGÍA ANIMAL (ZOOLOGÍA)