Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CGIAR CGSpace (Consu...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Mitigation and Adaptation Strategies for Global Change
Article . 2016 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
PubMed Central
Other literature type . 2016
Data sources: PubMed Central
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.60692/8y...
Other literature type . 2016
Data sources: Datacite
https://dx.doi.org/10.60692/16...
Other literature type . 2016
Data sources: Datacite
versions View all 9 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

تقييم البقع عالية التأثير لتغير المناخ: محاكاة العائد المكاني باستخدام نموذج نظام دعم القرار لنقل التكنولوجيا الزراعية (DSSAT)
Authors: Anton Eitzinger; Peter Läderach; Beatriz Caballero Rodríguez; Myles Fisher; Stephen Beebe; Kai Sonder; Axel Schmidt;

Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

Abstract

Les haricots secs (Phaseolus vulgaris L.) sont une culture de subsistance importante en Amérique centrale. Le changement climatique futur pourrait menacer la production de haricots secs et mettre en péril la sécurité alimentaire des petits agriculteurs. Nous avons estimé les changements de rendement des haricots secs dus aux changements climatiques dans ces pays à l'aide de données à échelle réduite provenant de modèles de circulation mondiale (GCM) au Salvador, au Guatemala, au Honduras et au Nicaragua. Nous avons généré des données météorologiques quotidiennes, que nous avons utilisées dans le sous-modèle du système d'aide à la décision pour le transfert de technologie agricole (DSSAT). Nous avons comparé différents cultivars, sols et options d'engrais au cours de trois saisons de plantation. Nous avons analysé les rendements simulés pour classer spatialement les points de changement climatique à fort impact dans les quatre pays. Les résultats montrent un corridor de rendements réduits du lac Nicaragua au centre du Honduras (diminution de 10 à 38 %). Les rendements ont augmenté dans les hauts plateaux guatémaltèques, vers la côte atlantique et dans le sud du Nicaragua (augmentation de 10 à 41 %). Certains agriculteurs pourront s'adapter au changement climatique, mais d'autres devront changer de culture, ce qui nécessitera un soutien extérieur. Les instituts de recherche devront concevoir des technologies permettant aux agriculteurs de s'adapter et de fournir aux décideurs des stratégies réalisables pour les mettre en œuvre.

El frijol seco (Phaseolus vulgaris L.) es un cultivo de subsistencia importante en Centroamérica. El cambio climático futuro puede amenazar la producción de frijol seco y poner en peligro la seguridad alimentaria de los pequeños agricultores. Estimamos los cambios en el rendimiento de los frijoles secos debido al cambio climático en estos países utilizando datos reducidos de los modelos de circulación global (GCM) en El Salvador, Guatemala, Honduras y Nicaragua. Generamos datos meteorológicos diarios, que utilizamos en el submodelo de frijol seco del Sistema de Apoyo a la Decisión para la Transferencia de Agrotecnología (DSSAT). Comparamos diferentes cultivares, suelos y opciones de fertilizantes en tres temporadas de siembra. Analizamos los rendimientos simulados para clasificar espacialmente los puntos de alto impacto del cambio climático en los cuatro países. Los resultados muestran un corredor de rendimientos reducidos desde el lago Nicaragua hasta el centro de Honduras (disminución del 10-38 %). Los rendimientos aumentaron en el altiplano guatemalteco, hacia la costa atlántica y en el sur de Nicaragua (aumento del 10-41 %). Algunos agricultores podrán adaptarse al cambio climático, pero otros tendrán que cambiar los cultivos, lo que requerirá apoyo externo. Las instituciones de investigación deberán idear tecnologías que permitan a los agricultores adaptarse y proporcionar a los responsables políticos estrategias viables para implementarlas.

Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers' food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons. We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10-38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10-41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them.

الفاصوليا الجافة (Phaseolus vulgaris L.) هي محصول كفاف مهم في أمريكا الوسطى. قد يهدد تغير المناخ في المستقبل إنتاج الفول الجاف ويعرض الأمن الغذائي لصغار المزارعين للخطر. قدرنا تغيرات الغلة في الفاصوليا الجافة بسبب تغير المناخ في هذه البلدان باستخدام بيانات مصغرة من نماذج الدوران العالمية (GCMs) في السلفادور وغواتيمالا وهندوراس ونيكاراغوا. أنشأنا بيانات الطقس اليومية، والتي استخدمناها في النموذج الفرعي للفول الجاف لنظام دعم اتخاذ القرار لنقل التكنولوجيا الزراعية (DSSAT). قارنا الأصناف المختلفة والتربة وخيارات الأسمدة في ثلاثة مواسم للزراعة. قمنا بتحليل الغلة المحاكية لتصنيف البقع عالية التأثير لتغير المناخ مكانيًا عبر البلدان الأربعة. تظهر النتائج ممرًا من انخفاض الغلة من بحيرة نيكاراغوا إلى وسط هندوراس (انخفاض بنسبة 10-38 ٪). وزادت الغلة في المرتفعات الغواتيمالية، باتجاه ساحل المحيط الأطلسي، وفي جنوب نيكاراغوا (زيادة بنسبة 10-41 ٪). سيتمكن بعض المزارعين من التكيف مع تغير المناخ، لكن سيتعين على الآخرين تغيير المحاصيل، الأمر الذي سيتطلب دعمًا خارجيًا. ستحتاج المؤسسات البحثية إلى ابتكار تقنيات تسمح للمزارعين بالتكيف وتزويد صانعي السياسات باستراتيجيات مجدية لتنفيذها.

Country
France
Keywords

Adaptation to Climate Change in Agriculture, Agricultural Innovation and Livelihood Diversification, simulation models, Agricultural and Biological Sciences, Subsistence agriculture, General Circulation Model, Climate change, Downscaling, Crop Yield Stability, Climatology, modelos de simulación, Global and Planetary Change, Geography, Ecology, Life Sciences, Agriculture, Geology, smallholders, climate change, Archaeology, Metallurgy, Original Article, cambio climático, General Agricultural and Biological Sciences, DSSAT, HadCM3, Yield (engineering), Climate model, Environmental science, Agroforestry, Biology, Ecology, Evolution, Behavior and Systematics, Crop Diversity, phaseolus vulgaris l, Food security, FOS: Earth and related environmental sciences, Materials science, FOS: Biological sciences, Intercropping in Agricultural Systems, GCM transcription factors, Agronomy and Crop Science

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
Green
hybrid