An integrated package to evaluate climatic suitability for agriculture

Serrano‐Notivoli, Roberto; Tomás-Burguera, Miquel; Martí, Alberto; Beguería, Santiago

doi:10.1016/j.compag.2020.105473

Cited by 6 publications

(6 citation statements)

References 31 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In a study conducted to evaluate the ecological suitability of peanut in China 26 , the authors concluded that as the suitability grade decreased, the temperature indicator showed a decreasing trend, meanwhile the inflection point of the lowest temperature showed a very significant diminishing tendency, so the temperature was considered to be the most limiting factor in determining the ecological suitability evaluation of peanut. It is also true that temperature is included in many studies as the most influential aspect affecting crop suitability 44 , but these studies have essentially been conducted at the national scale 11 , nevertheless Climatic factors that influence the suitability at the national level may differ from those affecting climate at the regional level. Schewe et al noted that climate change may significantly exacerbate water scarcity, that reduced rainfall will directly affect agricultural production 45 , he also pointed that dry and waterlogging have also become one of the most severe natural disasters in China.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive climatic suitability evaluation of peanut in Huang-Huai-Hai region under the background of climate change

Wei

Yang

et al. 2022

Sci Rep

View full text Add to dashboard Cite

The climate changes influence the growing suitability of peanut, an important oil crop. Climatic suitability evaluation in the Huang-Huai-Hai region, the main peanut producing region of China, which can optimize peanut planting structure and provide basis for increasing output. In this study, the temperature, precipitation, sunshine and comprehensive suitability models were established by using the climatic suitability function in different growth periods of peanut. In this study, the climate suitability function of peanut in different growth periods was used to establish the temperature, precipitation, sunshine and comprehensive suitability model. Combined with the meteorological data after Anusplin interpolation, the spatial distribution and chronological change of peanut climate suitability were analyzed. The results show that with climate change, the overall climate becomes warmer and drier and the temperature and precipitation suitability increase, but the sunshine suitability decreases. Based on the comprehensive suitability model, the suitability evaluation results are divided into four levels: the most suitable, suitable, sub-suitable and unsuitable. Among them, the most suitable peanut planting areas in the Huang-Huai-Hai region are concentrated in the west of the Haihe River Basin and the Huaihe River Basin. The data from the next 30 years show that both the most suitable and suitable areas have been expanded. Through the verification of yield correlation analysis and spatial distribution of disaster frequency, it can be seen that the evaluation results have high accuracy, which can be used to guide and optimize peanut production practices.

show abstract

Section: Discussionmentioning

confidence: 99%

Comprehensive climatic suitability evaluation of peanut in Huang-Huai-Hai region under the background of climate change

Wei

Yang

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…For fruit species in temperate zones, phenological models have been proposed and contrasted for their predictive capacity in different climatic scenarios, such as the one offered by Chuine and Régnière [ 20 ]. Serrano-Notivoli et al [ 21 ] have developed a package based on the R language that provides bioclimatic indices to assess potential climate impacts on crops. In the same line, the work of Miranda et al [ 22 ], also based on R, simplifies the evaluation of climate adaptation and the identification of potential risks for fruit species.…”

Section: Related Workmentioning

confidence: 99%

Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety

López-Morales

Martı́nez²,

Caro³

et al. 2021

Sensors

View full text Add to dashboard Cite

The application of new technologies such as the Internet of Things offers the opportunity to improve current agricultural development, facilitate daily tasks, and turn farms into efficient and sustainable production systems. The use of these new technologies enables the digital transformation process demanded by the sector and provides agricultural collectives with more optimized analysis and prediction tools. Due to climate change, one of the farm industry’s problems is the advance or decay in the cycle of stone fruit trees. The objective is to recommend whether a specific area meets the minimum climatic requirements for planting certain stone fruit trees based on climatic data and bioclimatic indicators. The methodology used implements a large amount of meteorological data to generate information on specific climatic conditions and interactions on crops. In this work, a pilot study has been carried out in the Region of Murcia using an IoT platform. We simulate scenarios for the development of stone fruit varieties better adapted to the environment. Based on the standard, open interfaces, and protocols, the platform integrates heterogeneous information sources and interoperability with other third-party solutions to exchange and exploit such information.

show abstract

“…Además, el periodo seleccionado es el que cuenta con una mayor densidad de estaciones a la hora de calcular la malla, mientras que los cambios en el número de estaciones son relativamente poco importantes. Para el cálculo de los índices agroclimáticos se utilizó el paquete de R agroclim (Serrano-Notivoli et al, 2020).…”

Section: Materiales Y Métodosunclassified

“…A su vez, la temperatura media en la temporada de crecimiento (GST) se calcula evitando los meses más cálidos, siendo también un indicador de idoneidad. Serrano-Notivoli et al (2020) Fuente: Elaboración propia.…”

Section: Materiales Y Métodosunclassified

“…A pesar del potencial de aplicación que tiene esta nueva base de datos de índices agroclimáticos, como también la herramienta agroclim (Serrano-Notivoli et al, 2020) con la que ha sido construida, ambas tienen algunas limitaciones en cuanto a su aplicabilidad. Por ejemplo, no se consideran aquellos indicadores derivados de la precipitación o la evapotranspiración, que son claves para evaluar la adaptabilidad de los cultivos a la disponibilidad de agua, un factor de suma importancia en la España peninsular.…”

Section: Discusión Y Conclusionesunclassified

See 1 more Smart Citation

Distribución espacial y tendencias de indicadores agroclimáticos en la España peninsular

Serrano‐Notivoli

Beguería

2021

Geograph

Self Cite

View full text Add to dashboard Cite

Se presenta una nueva base de datos de 12 indicadores agroclimáticos para la España peninsular sobre una malla de 5x5 km para el periodo 1981-2010. El cálculo de los indicadores se basó en la información de temperaturas máxima y mínima diarias extraídas de la base de datos STEAD. Se cartografían y describen los valores normales de todos los indicadores y se analizan los cambios durante todo el periodo mediante un análisis de tendencias. Los resultados muestran una elevada dependencia de los factores geográficos locales (elevación, latitud y distancia a la costa) en la distribución espacial de los valores normales. Sin embargo, esta influencia queda relegada en las tendencias a la costa mediterránea y las zonas montañosas. Se advierte un notable adelanto en la fecha de las heladas acompañado de un descenso en el número de eventos de helada, con elevada variabilidad espacial en las tendencias. Los indicadores de integrales térmicas presentan un aumento significativo como consecuencia del incremento de las temperaturas, especialmente en primavera y verano.

show abstract

An integrated package to evaluate climatic suitability for agriculture

Cited by 6 publications

References 31 publications

Comprehensive climatic suitability evaluation of peanut in Huang-Huai-Hai region under the background of climate change

Comprehensive climatic suitability evaluation of peanut in Huang-Huai-Hai region under the background of climate change

Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety

Distribución espacial y tendencias de indicadores agroclimáticos en la España peninsular

Contact Info

Product

Resources

About