Addressing agricultural labour issues is key to biodiversity-smart farming

Thomas Daum Frédéric Baudron Matin Qaim Ingo Grass (2023, [Artículo])

There is an urgent need for agricultural development strategies that reconcile agricultural production and biodiversity conservation. This is especially true in the Global South where population growth is rapid and much of the world's remaining biodiversity is located. Combining conceptual thoughts with empirical insights from case studies in Indonesia and Ethiopia, we argue that such strategies will have to pay more attention to agricultural labour dynamics. Farmers have a strong motivation to reduce the heavy toil associated with farming by adopting technologies that save labour but can negatively affect biodiversity. Labour constraints can also prevent farmers from adopting technologies that improve biodiversity but increase labour intensity. Without explicitly accounting for labour issues, conservation efforts can hardly be successful. We hence highlight the need for biodiversity-smart agriculture, that is farming practices or systems that reconcile biodiversity with land and labour productivity. Our empirical insights suggest that technological and institutional options to reconcile farmers' socio-economic goals and biodiversity conservation exist but that more needs to be done to implement such options at scale.

Land Sharing Trade-Offs CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURAL DEVELOPMENT BIODIVERSITY CONSERVATION LABOUR SUSTAINABILITY

Alternative cropping and feeding options to enhance sustainability of mixed crop-livestock farms in Bangladesh

Timothy Joseph Krupnik Jeroen Groot (2024, [Artículo])

We investigated alternative cropping and feeding options for large (>10 cows), medium (5–10 cows) and small (≤4 cows) mixed crop – livestock farm types, to enhance economic and environmental performance in Jhenaidha and Meherpur districts – locations with increasing dairy production – in south western Bangladesh. Following focus group discussions with farmers on constraints and opportunities, we collected baseline data from one representative farm from each farm size class per district (six in total) to parameterize the whole-farm model FarmDESIGN. The six modelled farms were subjected to Pareto-based multi-objective (differential evolution algorithm) optimization to generate alternative dairy farm and fodder configurations. The objectives were to maximize farm profit, soil organic matter balance, and feed self-reliance, in addition to minimizing feed costs and soil nitrogen losses as indicators of sustainability. The cropped areas of the six baseline farms ranged from 0.6 to 4.0 ha and milk production per cow was between 1,640 and 3,560 kg year−1. Feed self-reliance was low (17%–57%) and soil N losses were high (74–342 kg ha−1 year−1). Subsequent trade-off analysis showed that increasing profit and soil organic matter balance was associated with higher risks of N losses. However, we found opportunities to improve economic and environmental performance simultaneously. Feed self-reliance could be increased by intensifying cropping and substituting fallow periods with appropriate fodder crops. For the farm type with the largest opportunity space and room to manoeuvre, we identified four strategies. Three strategies could be economically and environmentally benign, showing different opportunities for farm development with locally available resources.

Ruminant Feed Pareto-Based Optimization Farm Bioeconomic Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUMINANT FEEDING BIOECONOMIC MODELS MIXED CROPPING FARMS LIVESTOCK

Algorithmic differentiation of linear mixed models with variance-covariance structures

Fernando Henrique Toledo Jose Crossa Juan Burgueño Keith Gardner Rosa Angela Pacheco Gil (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MATHEMATICAL MODELS ALGORITHMS LINEAR MODELS

Offshore wind energy climate projection using UPSCALE climate data under the RCP8.5 emission scenario

MARKUS SEBASTIAN GROSS (2016, [Artículo])

In previous work, the authors demonstrated how data from climate simulations can be utilized to estimate regional wind power densities. In particular, it was shown that the quality of wind power densities, estimated from the UPSCALE global dataset in offshore regions of Mexico, compared well with regional high resolution studies. Additionally, a link between surface temperature and moist air density in the estimates was presented. UPSCALE is an acronym for UK on PRACE (the Partnership for Advanced Computing in Europe)-weather-resolving Simulations of Climate for globAL Environmental risk. The UPSCALE experiment was performed in 2012 by NCAS (National Centre for Atmospheric Science)- Climate, at the University of Reading and the UK Met Office Hadley Centre. The study included a 25.6-year, five-member ensemble simulation of the HadGEM3 global atmosphere, at 25km resolution for present climate conditions. The initial conditions for the ensemble runs were taken from consecutive days of a test configuration. In the present paper, the emphasis is placed on the single climate run for a potential future climate scenario in the UPSCALE experiment dataset, using the Representation Concentrations Pathways (RCP) 8.5 climate change scenario. Firstly, some tests were performed to ensure that the results using only one instantiation of the current climate dataset are as robust as possible within the constraints of the available data. In order to achieve this, an artificial time series over a longer sampling period was created. Then, it was shown that these longer time series provided almost the same results than the short ones, thus leading to the argument that the short time series is sufficient to capture the climate. Finally, with the confidence that one instantiation is sufficient, the future climate dataset was analysed to provide, for the first time, a projection of future changes in wind power resources using the UPSCALE dataset. It is hoped that this, in turn, will provide some guidance for wind power developers and policy makers to prepare and adapt for climate change impacts on wind energy production. Although offshore locations around Mexico were used as a case study, the dataset is global and hence the methodology presented can be readily applied at any desired location. © Copyright 2016 Gross, Magar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reprod

atmosphere, climate change, Europe, Mexico, sampling, time series analysis, university, weather, wind power, climate, risk, theoretical model, wind, Climate, Models, Theoretical, Risk, Wind CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Stability of maize hybrids under drought, rainfed and optimum field conditions revealed through GGE analysis

Pervez Zaidi (2023, [Artículo])

Additive Main Effects Multiplicative Interaction GGE Biplot Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE GENOTYPE ENVIRONMENT INTERACTION ADDITIVE EFFECT PRINCIPAL COMPONENT ANALYSIS

La diversidad funcional en el calichal yucateco: una estrategia que permite entender su riqueza desde una perspectiva ecológica

Mayte Aguilar RODRIGO STEFANO DUNO DIEGO FRANCISCO ANGULO PEREZ (2022, [Artículo])

La huella ecológica y el impacto de las acciones humanas han afectado gravemente los ecosistemas y estamos lejos de entender la complejidad que contienen, así como el papel de las especies que los integran. Este ensayo ilustra la diversidad funcional como una estrategia crítica a los estudios de biodiversidad, ya que nos permite entender la riqueza desde una perspectiva ecológica y evolutiva. Es urgente conocer nuestros ecosistemas para establecer estrategias de conservación eficaces, y la diversidad funcional representa una herramienta útil para lograr dicho objetivo.

ADAPTACION ECOLOGICA COMUNIDAD FILTROS AMBIENTALES RASGOS FUNCIONALES MEXICO YUCATAN BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

The national drought policy in Mexico

Felipe Ignacio Arreguín Cortés Mario Lopez Perez David Ortega Gaucin (2016, [Artículo])

Traditionally, drought effects in Mexico have been attended through governmental reactive efforts directed to provide water and food, to assure health protection, and to restore economic impact once the phenomena occurred. The Mexican Government through National Water Commission (CONAGUA, for its acronym in Spanish), interested in changing the paradigm for preventive actions to cope with droughts in Mexico in the past, decided to launch in 2013 the National Program Against Drought (PRONACOSE, for its acronym in Spanish) and created the Intersecretarial Commission on Droughts and Floods (CIASI, for its acronym in Spanish) to take charge of coordinating, implementing and following-up of the PRONACOSE. This program has its main focus on reducing vulnerability through the implementation of planned preventive actions under a comprehensive and participative approach. As key part of the program, Programmes of Preventive and Mitigation Drought Measures (PMPMS, for its acronym in Spanish) for each one of the 26 river basin councils established in the country and for the principal cities of Mexico were developed. These programmes include the measures that can be implemented within the river basin councils and the cities to cope with drought in three ways: before the phenomenon occurs (strategic measures), when it is starting (tactical measures) or when it is already happening (emergency measures). Also, since 2014, the National Meteorological Service (SMN, for its acronym in Spanish) releases timely alerts and monitors the evolution of the drought including affected areas and level of severity of the phenomenon at a basin, state and municipality level. It is noteworthy that in all these activities the Mexican Institute of Water Technology (IMTA, for its acronym in Spanish) has played an important role, as this institute has provided the necessary technical support for the designing and implementation of the PRONACOSE. It is concluded that drought risk cannot be fully eliminated, nevertheless the actions that are implemented as part of this program are useful to mitigate its effects.

Sequías Políticas públicas México CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA

Detección de la tendencia local del cambio de la temperatura en México

RENE LOBATO SANCHEZ MIGUEL ANGEL ALTAMIRANO DEL CARMEN (2017, [Artículo])

Registros de temperatura indican que tres de cada cuatro estaciones climáticas evaluadas en México señalan un calentamiento en el periodo 1950-2013, tomando como referencia al periodo base 1961-1990. Después de un análisis completo de registros climáticos en México, se determinó que solamente 112 registros cumplen con la calidad y estándares requeridos para el presente estudio, de ahí se seleccionó, de forma aleatoria, un subconjunto de 20 estaciones con tendencia positiva, representativas de entornos rurales y urbanos, distribuidas en las regiones de México. Se identificó que el periodo más reciente de calentamiento intenso inicia por lo general a mediados de la década de 1970, lo cual es congruente con la señal identificada por el Panel Intergubernamental de Expertos sobre el Cambio Climático para la temperatura media global. En las zonas rurales se observa un desfase de hasta 10 años en el inicio del periodo reciente de calentamiento en comparación con zonas urbanas para una misma región del país. El calentamiento y la diferencia entre periodos cálidos y fríos son mayor, regularmente, en áreas urbanas en comparación con las rurales.

Cambio climático Temperatura ambiental Determinación México CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA

Apps, educación y patrimonio en México. Análisis de situación y estudio comparativo con el caso español

URSULA LUNA PEDRO JOSE CANTO HERRERA ALFREDO ZAPATA GONZALEZ ALEX IBANEZ-ETXEBERRIA (2020, [Artículo])

Este trabajo analiza desde un punto de vista educativo la oferta de apps en torno al patrimonio mexicano. Tras realizar una pequeña revisión de la situación del patrimonio en México y de la implementación de tecnologías digitales, especialmente apps, en el mismo, se hace un breve repaso al estado de la cuestión de la evaluación de apps de contenido patrimonial desde el punto de vista educativo. El estudio, de carácter descriptivo, se realiza desde la perspectiva del estudio de programas siguiendo el método OEPE adaptado al caso de las apps. Los resultados del análisis de la muestra final de 45 apps, muestran similitudes con el contexto español en cuanto a una baja cantidad de apps patrimoniales que puedan considerarse educativas, con escasa atención a la accesibilidad y sin adaptación a diferente tipología de público, prevaleciendo los contenidos y sin un diseño didáctico adecuado. Las diferencias principales se centran en los desarrolladores de apps, que en México son las empresas que crean contenidos dirigidos al turismo, frente a las administraciones públicas y museos en España que ofrecen un discurso patrimonial diverso. Sin embargo, en ambos países encontramos una necesidad de desarrollar apps de calidad que favorezcan su uso educativo.

HUMANIDADES Y CIENCIAS DE LA CONDUCTA App Educación patrimonial Patrimonio Aprendizaje México

Modular ontology to support manufacturing SMEs toward industry 4.0

ZAIDA ANTONIETA MORA ALVAREZ OSCAR HERNANDEZ URIBE RAMON ALBERTO LUQUE MORALES LEONOR ADRIANA CARDENAS ROBLEDO (2023, [Artículo])

Industry 4.0 (I4.0) implementation is a hot topic among manufacturing organizations to reach smart factory status and integrate a fully connected ecosystem. Achieving such a transition presents notable challenges for Small and Medium Enterprises (SMEs) since they often face resource and skilled personnel limitations. This study developed a domain ontology to represent various stages of maturity toward I4.0 implementation. Ontology provides a tool for SMEs to self-assess in situations of machines, processes, and factories for the dimensions of control, integration, and intelligence. This study focused on the identification of classes and relationships according to I4.0 implementation situations in the context of a manufacturing setting, the reuse of ontologies related to the domain of observations to model situations, and the creation and validation of the ontology through the information obtained from the questionnaires applied to SMEs. Finally, the ontology delivers a tool to understand SMEs' current state concerning I4.0 implementation and plan based on informed decisions about the maturity state and the technology required to advance to the next stage in their manufacturing processes.

This study was partially supported by the grants CONAHCYT-CIATEQ CVU 899567 and 162867 and CONAHCYT SNI.

We express our gratitude to Teresa Novales Hernandez for the library support.

Domain ontology Industry 4.0 SMEs Smart factory SPARQL Semantic web INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS