Iván Felipe Benavides

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Verified

Iván verified their affiliation via an institutional email.

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• PhD
• Researcher at Northeastern University

Mangrove ecosystems, often referred to as “blue carbon”, play a significant role in storing vast amounts of carbon dioxide, thereby mitigating the effects of climate change. However, human-induced activities are endangering their carbon sequestration potential, particularly along the Pacific coast of Colombia. This study aims to quantify carbon sto...

Agroecological systems are potential solutions to the environmental challenges of intensive agriculture. Indigenous communities, such as the Kamëntšá Biyá and Kamëntšá Inga from the Sibundoy Valley (SV) in Colombia, have their own ancient agroecological systems called chagras. However, they are threatened by population growth and expansion of inten...

Climate change brings a range of challenges and opportunities to shrimp fisheries globally. The case of the Colombian Pacific Ocean (CPO) is notable due the crucial role of shrimps in the economy, supporting livelihoods for numerous families. However, the potential impacts of climate change on the distribution of shrimps loom large, making it urgen...

Bycatch species are as important as target species in the challenge of comprehensive fishery management. This is especially the case for vulnerable species such as elasmobranchs in offshore areas of the Colombian Pacific Ocean (CPO), for which information is scarce and long-term databases are used. Therefore, this study aimed to characterize the by...

Among Southamerican countries Chile is highly susceptible to Climate Change impacts on water resources and ecosystems. Also, Chilean lakes and rivers have been impacted by anthropogenic activities leading to chemical pollution and eutrophication. Concerns for hydric resources conservation and management has led to current development of environment...

The Strait of Magellan, a sub-Antarctic channel connecting the Pacific and Atlantic oceans, is divided into three zones based on oceanographic and meteorological characteristics: Eastern, Central, and Western. The Central Zone is influenced by strong northwesterly winds and freshwater inputs from rivers and precipitation, making it crucial to under...

Geomagnetically induced currents (GICs) pose a significant threat to power systems during geomagnetic storms. This work introduces a GRU approach for GICs forecasting based on the rate of change of the geomagnetic field, dB/dt at two low-latitude stations, Muntinlupa (MUT) and Guam (GUA). The performances of the model were evaluated based on the da...

Ancient agroecological farms, or chagras, of the Kamëntšá Biyá and Kamëntšá Inga indigenous communities in the Sibundoy Valley of Colombia offer valuable insights into the environmental challenges of intensive agriculture and promote sustainable food production. Sustainability indices have been developed to assess farm-level sustainability and enha...

Lack of data regarding the agricultural activities in the area of Imués (Nariño, Colombia) has hindered understanding of current land uses and their impacts on natural resources, which causes this area to be considered one of the most arid in the region. To comprehend these processes, a description of the main land uses and agricultural and livesto...

Mangrove ecosystems serve as significant reservoirs of carbon stocks, particularly within the soil. However, these ecosystems face widespread degradation globally, underscoring the necessity for comprehensive technical insights to facilitate effective management. Enhancing the precision of soil organic carbon estimates within mangroves necessitates...

The present study proposes a geomagnetically induced currents (GICs) prediction model for three low-latitude locations, Huancayo, Peru, Addis Ababa, Ethiopia and Guam, United States. It employs the long short-term memory (LSTM) and bidirectional long short-term memory (BiLSTM) neural networks. The model's performance was accessed using the interlea...

In this study we developed and validated a new integrative method for constructing and assessing Species Distribution Models (SDMs) for marine benthic species across spatial and temporal scales. This methodology synthesizes four dimensions-latitude, longitude, depth and time-into a unified predictive output, achieved by integrating a novel GIS tool...

Climate change brings a range of challenges and opportunities to shrimp fisheries globally, and the Colombian Pacific Ocean (CPO) is a notable case due to their crucial role in the economy, supporting livelihoods for numerous families. However, the potential impacts of climate change on the distribution of shrimps loom large, making it urgent to sc...

This study evaluated the use of convolutional neural networks (CNN) in agricultural disease recognition, specifically for Botrytis fabae symptoms. An experimental bean culture was used to capture images of healthy and affected leaflets, which were then used to perform binary classification and severity classification tests using several CNN models....

La historia de Chat-GPT en nuestro medio es aún muy corta, lo que impide elaborar un ensayo con conclusiones definitivas sobre sus ventajas y desventajas, especialmente porque su tecnología de base (redes neuronales transformer) está en constante evolución no solamente por sus desarrolladores en OpenAI, sino por el continuo aprendizaje que hace est...

Introduction: The prediction of potential fishing areas is considered one of the most immediate and practical approaches in fisheries and is an essential technique for decision-making in managing fishery resources. It helps fishermen reduce their fuel costs and the uncertainty of their fish catches; this technique allows to contribute to national a...

El Big Data, la inteligencia artificial y sus ramas (aprendizaje automático, aprendizaje profundo, lógica difusa, sistemas expertos, etc.) son componentes de algo más grande llamado Ciencia de Datos, la cual acompaña una de las revoluciones científicas más grandes de los últimos doscientos años. Esta revolución nos aporta una nueva y gran caja de h...

Marine fisheries are keystone components of the industrial and social development of countries. Management of marine resources requires forecasting skills to support best decisions for the sustainability of fishery resources and food security under different environmental, social and political scenarios. In this study, we aimed at forecasting the l...

Introduction: The prediction of potential fishing areas is considered one of the most immediate and practical approaches in fisheries and is an essential technique for decision-making in managing fishery resources. It helps fishermen reduce their fuel costs and the uncertainty of their fish catches; this technique allows to contribute to national a...

Introduction: The prediction of potential fishing areas is considered one of the most immediate and practical approaches in fisheries and is an essential technique for decision-making in managing fishery resources. It helps fishermen reduce their fuel costs and the uncertainty of their fish catches; this technique allows to contribute to national a...

The tuna purse seine fishery is a large-scale fishery in the Colombian Pacific Ocean (CPO). This study aims to perform a descriptive and spatiotemporal analysis of the purse-seine tuna fishery in the CPO to provide new knowledge and alternatives for its domestic anagement. Georeferenced data (2000 – 2019) allowed the analysis by species, vessel car...

This R-package implements the Known Sub-Sequence Algorithm (kssa) developed by Benavides et al (2022) https://doi.org/10.1016/j.aaf.2021.12.013. This algorithm compares the performace of different imputation methods for missing data in univariate time series data. It suggests a best method for making imputations on each particular time series, and...

Missing data in time series is a frequent problem for the environmental sciences. This is a serious limitation for statistical analysis and therefore, imputation (the process of filling missing data) is a keystone task. Several imputation methods have been proposed and implemented in programming software, however, their efficiency is data-dependent...

CE1 CE2 TS5 TS6 In this work, populations of adult and immature honeybees and their honey production are studied through mathematical and statistical modeling approaches. Those models are complementary and are presented in disjunct form. They were used to show different modeling methods for honey bee population dynamics. The statistical approach co...

Time series from fisheries often contain multiple missing data. This is a severe limitation that prevents using the data for research on population dynamics, stock assessment, forecasting, and, hence, decision-making around marine resources. Several methods have been proposed to impute missing data in univariate time series. Still, their performanc...

Aim of study: Evaluating the variability of physical and chemical soil properties under different soil uses in an experimental farmland of the southwestern Colombian Andes. Area of study: This research was conducted at the Botana Experimental Farm in the mountainous area of Nariño, at the south-western Colombia. Material and methods: nine soil va...

Fish populations respond to environmental change with daily, monthly, and annual time delays, depending on each species life cycle. However, these delays are rarely included in Generalized Additive Models (GAMs) for species distribution that uses time-series data. Therefore, the predictions of these models entirely rely on assumptions of immediate...

Background: In this study, we use public data of COVID-19 diagnosed cases from Guayas province (Ecuador) and use them to evaluate the forecasting ability of some probabilistic models commonly used in the epidemiological and mathematical literature. We highlight the precision of the models in predicting COVID-19 cases, and the evolution of the epide...

Carotenoids are bioactive compounds that can be found in different food matrices. However, these compounds are easily degradable at high temperatures, light and oxygen. Therefore, it is necessary to search for an alternative that avoids such deterioration. Objective: The present study aimed at evaluating the storage stability of microencapsulated p...

Introduction: Chemical fertilizers for agriculture can negatively affect the communities of soil invertebrates that contribute to nutrient cycling, nutrient availability, soil formation and fertility. As an alternative, previous work has suggested that green fertilizers (fresh tissue from plants) are effective to preserve soil fertility, without af...

Paramos are high altitude Andean ecosystems in tropical South America.They are considered “water factories” because they provide water for 100 million people around the Andes.Their extraordinarily high capacity to regulate water depends on specific soil characteristics, such as high infiltration rates, high porosities, high organic matter (OM) cont...

Se estudió el efecto de la elevación sobre algunos aspectos autoecológicos de la especie Espeletia pycnophylla ssp. angelensis Cuatrec. (Asteraceae), tales como su estructura demográfica, densidad poblacional, patrón de distribución espacial, producción de estructuras reproductivas, morfometría de adultos y supervivencia, en un páramo seco del depa...

Nitrogen Enrichment of fog water by biomass burning and its uptake by different functional groups of plants in an evergreen forest of Southern Chile.

Abstract: The phenotypic structure within and between plant populations is generally influenced by their distribution patterns in space and time; therefore, the study of their divergence is a central issue for the understanding of their microevolutive processes. We boarded the hypothesis that three populations of Espeletia pycnophylla show phenotyp...

Some autoecological features of Espeletia pycnophylla ssp. angelensis Cuatrec. such as its demographic structure, population density, spatial pattern of dispersion, production of reproductive structures, adult morphometry and survivorship, were studied in an altitudinal gradient on a dry paramo of Nariño (Colombia). Hypothesis proposed by other aut...

Resumen Se estudió el efecto de la elevación sobre algunos aspectos autoecológicos de la especie Espeletia pycnophylla ssp. angelensis Cuatrec. (Asteraceae), tales como su estructura demográfica, densidad poblacional, patrón de distribución espacial, producción de estructuras reproductivas, morfometría de adultos y supervivencia, en un páramo seco...