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Ecología Forense: al rescate de los manglares

Diana Jacqueline Cisneros de la Cruz JORGE ALFREDO HERRERA SILVEIRA CLAUDIA TEUTLI HERNANDEZ (2022, [Artículo])

Cuando hablamos de series en la tv, no cabe duda de que las más populares son las de detectives y forenses que resuelven crímenes. Pero ¿ecología forense en manglares? Si, cuando los manglares mueren o se degradan, antes de cualquier intento de rescate, o mejor dicho, de restauración, es fundamental descubrir cuál fue la causa. La ecología forense durante la restauración ecológica de manglares es parte de una estrategia que, además de la cooperación entre diferentes sectores, será fundamental para recuperar diversos servicios que nos brindan los manglares y con ello ser aliados ante el cambio climático.

CAMBIO CLIMATICO CARBONO AZUL ECOSISTEMAS COSTEROS RESTAURACION ECOLOGICA VARIABLES INDICADORAS BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

Agricultural emissions reduction potential by improving technical efficiency in crop production

Arun Khatri-Chhetri Tek Sapkota sofina maharjan Paresh Shirsath (2023, [Artículo])

CONTEXT: Global and national agricultural development policies normally tend to focus more on enhancing farm productivity through technological changes than on better use of existing technologies. The role of improving technical efficiency in greenhouse gas (GHG) emissions reduction from crop production is the least explored area in the agricultural sector. But improving technical efficiency is necessary in the context of the limited availability of existing natural resources (particularly land and water) and the need for GHG emission reduction from the agriculture sector. Technical efficiency gains in the production process are linked with the amount of input used nd the cost of production that determines both economic and environmental gains from the better use of existing technologies. OBJECTIVE: To assess a relationship between technical efficiency and GHG emissions and test the hypothesis that improving technical efficiency reduces GHG emissions from crop production. METHODS: This study used input-output data collected from 10,689 rice farms and 5220 wheat farms across India to estimate technical efficiency, global warming potential, and emission intensity (GHG emissions per unit of crop production) under the existing crop production practices. The GHG emissions from rice and wheat production were estimated using the CCAFS Mitigation Options Tool (CCAFS-MOT) and the technical efficiency of production was estimated through a stochastic production frontier analysis. RESULTS AND CONCLUSIONS: Results suggest that improving technical efficiency in crop production can reduce emission intensity but not necessarily total emissions. Moreover, our analysis does not support smallholders tend to be technically less efficient and the emissions per unit of food produced by smallholders can be relatively high. Alarge proportion of smallholders have high technical efficiency, less total GHG emissions, and low emissions intensity. This study indicates the levels of technical efficiency and GHG emission are largely influenced by farming typology, i.e. choice and use of existing technologies and management practices in crop cultivation. SIGNIFICANCE: This study will help to promote existing improved technologies targeting GHG emissions reduction from the agriculture production systems.

Technical Efficiency Interventions CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MITIGATION PRODUCTIVITY CROP PRODUCTION GREENHOUSE GAS EMISSIONS

Predicción de la evapotranspiración de referencia mediante redes neuronales artificiales

JUAN MANUEL GONZALEZ CAMACHO ROCIO CERVANTES-OSORNIO WALDO OJEDA BUSTAMANTE IRINEO LORENZO LOPEZ CRUZ (2008, [Artículo])

La evapotranspiración de referencia (ETo) es una variable climática esencial para el cálculo de los requerimientos hídricos de los cultivos. Su previsión a corto plazo es importante para programar la distribución de volúmenes de agua en las zonas de riego. En este trabajo se presenta la aplicación de un modelo de Red Neuronal Artificial (RNA) tipo feedforward backpropagation para predecir la ETo a partir de datos diarios de temperatura del aire, radiación solar, humedad relativa y velocidad del viento. La arquitectura adoptada del modelo de RNA contiene cuatro neuronas en la capa intermedia, una neurona en la capa de salida y funciones de activación tangente hiperbólica en ambas capas. Este modelo fue aplicado a un conjunto de datos climáticos con cinco años de observaciones de la red agroclimática “Valle del Fuerte” del distrito de riego 075, localizada en el norte de Sinaloa, México. El algoritmo de entrenamiento supervisado de Levenberg-Marquardt permitió obtener un buen desempeño de la red en términos del error cuadrático medio y del coeficiente de determinación R2 para estimar la ETo en los diferentes escenarios considerados. Las predicciones de las RNA fueron comparadas con las predicciones de modelos de regresión lineal múltiple y lineal por partes; los resultados muestran que ambos modelos presentan niveles de ajuste muy similares a los datos experimentales.

Evapotranspiración Requerimientos de riego Variables climáticas Distritos de riego Regresión no lineal Redes neuronales artificiales CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Intimate partner violence and its relationship to labor income

Yei Javier Zepeda Hernández Alma Sofia Santillan (2024, [Artículo, Artículo])

In Mexico, 70.1% of women have been victims of violence in their lifetime and the main perpetrator is her intimate partner. Gender violence is a public health problem that has multiple negative impacts in woman and their offsprings. The relation violence and income is an issue that has been scarcely studied for Mexico. The objective of this article is to analyze the intimate partner violence and its relationship to labor income for Mexican women, data used are from the National Survey on the Dynamics of Households Relationships (ENDIREH 2021). The principal component method is used to estimate five kinds of violence; physical, emotional, economic, sexual and, harassment. The instrumental variables method is used to consider the endogeneity of income and violence variables. Except harassment, the results indicate a negative relationship between income and violence. Specifically, sexual violence has the greatest negative effects; women who are victims of sexual violence have an average reduction of 17.4% in monthly labor income. This negative effect represents a loss of just over two month of working days per year and, in the aggregate terms, is equivalent to 0.87% of GDP. The above highlights the importance of orienting public policy actions to work in prevention, attention, punishment and eradications any kind of violence against women. 

Intimate partner violence Labor income Endogeneity Instrumental variables Cost of violence Violencia de pareja Ingresos laborales Endogeneidad Variables instrumentales Costo de la violencia. CIENCIAS SOCIALES CIENCIAS SOCIALES

Agricultural lime value chain efficiency for reducing soil acidity in Ethiopia

Moti Jaleta (2023, [Artículo])

Soil acidity is challenging agricultural production in Ethiopia. Above 43% of the farmland is under soil acidity problem and it leads to low crop yields and production losses. Ag-lime is widely considered as an effective remedy for amending soil acidity. This study assesses the current structure of ag-lime value chain and its functionality focusing on central parts of Ethiopia where lime is produced and channeled to acidity affected areas. The study uses Ethiopia as a case study and applies qualitative methods such as key informant interviews and focus group discussions to collect data from different actors in the ag-lime value chain. Key findings indicate that both public and private ag-lime producing factories are operating below their capacity. Due to limited enabling environments, the engagement of private sector in ag-lime value chain is minimal. In addition, farmers have a good awareness of soil acidity problem on their farms, and its causes and mitigation strategies in all regions. However, the adoption of ag-lime by smallholders was minimal. Overall, the current structure of the ag-lime value chain appears fragmented and needs improvement. Addressing soil acidity challenge through efficient ag-lime value chain could narrow lime supply-demand mismatches and increase widespread adoption by farmers to enhance crop productivity and food security in acidity-prone areas of the country.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LIMES PRODUCTION COSTS VALUE CHAINS SOIL PH