Clisagri: An R package for agro-climate services

Ceglar, Andrej; Toreti, Andrea; Zampieri, Matteo; Manstretta, Valentina; Bettati, T.; Bratu, M.

doi:10.1016/j.cliser.2020.100197

Cited by 10 publications

(10 citation statements)

References 42 publications

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“…S4 in the Supplementary). The idealised climate service indeed aims at reproducing a real one based on seasonal climate predictions, local information, and phenological modelling 20 . For each simulated year, the reality (given by the crop growth model forced by the climate projections) is supposed to be known.…”

Section: Methodsmentioning

confidence: 99%

“…During a user scoping workshop of the EU-H2020 MedGOLD project (involving durum wheat farmers, breeders, and regional stakeholders; deliverables 4.6 and 4.7 available at www.med-gold.eu ), variety selection at sowing was identified among the most important decisions to be supported by sectoral climate services. Based on observations, seasonal climate predictions, local information, and phenological modelling, such service can provide risk estimation and advice farmers on the cultivars minimising the risk for the growing season ahead 20 , 21 .…”

Section: Introductionmentioning

confidence: 99%

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Climate service driven adaptation may alleviate the impacts of climate change in agriculture

et al. 2022

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Building a resilient and sustainable agricultural sector requires the development and implementation of tailored climate change adaptation strategies. By focusing on durum wheat (Triticum turgidum subsp. durum) in the Euro-Mediterranean region, we estimate the benefits of adapting through seasonal cultivar-selection supported by an idealised agro-climate service based on seasonal climate forecasts. The cost of inaction in terms of mean yield losses, in 2021–2040, ranges from −7.8% to −5.8% associated with a 7% to 12% increase in interannual variability. Supporting cultivar choices at local scale may alleviate these impacts and even turn them into gains, from 0.4% to 5.3%, as soon as the performance of the agro-climate service increases. However, adaptation advantages on mean yield may come with doubling the estimated increase in the interannual yield variability.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Climate service driven adaptation may alleviate the impacts of climate change in agriculture

et al. 2022

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“…While such approaches are logically based on the connection between reduced vegetation greenness and diminished plant productivity, it is also well known that droughts occurring during different phenological stages may have different impacts on yield and production (i.e. Barros et al, 2021;Ceglar et al, 2020;Chaves et al, 2002;Demirevska et al, 2009;Monteleone et al, 2022;Stallmann et al, 2020;Zampieri et al, 2017). Consequently, greenness anomalies are not always directly related to reduction in yield, depending on the development stages of the vegetative cycle when they manifest.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe

Cammalleri

McCormick

Toreti

2022

Nat. Hazards Earth Syst. Sci.

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Abstract. This study focuses on the relationship between satellite-measured fraction of absorbed photosynthetically active radiation (fAPAR) and crop yield cereals in Europe. Different features of the relationship between annual yield and multiple time series of fAPAR, collected during different periods of the year, were investigated. The two key outcomes of the analysis are the identification of the period: (i) from March to October as the one having the highest positive correlation between fAPAR and yield and (ii) from February to May as the period characterised by most of the estimated negative correlation. While both periods align well with the commonly assumed dynamic of the growing season, spatial differences are also observed across Europe. On the one hand, the Mediterranean regions report the highest correlation values (r>0.8) and the longest continuous periods with positive statistically significant results (up to 7 months), covering most of the growing season. On the other hand, the central European region is characterised by the most limited positive correlation values, with only 2 months or less showing statistically significant results. While marked differences in the overall capability to capture the full dynamic of yield are observed across Europe, fAPAR anomalies seem capable of discriminating low-yield years from the rest in most of the cases.

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“…The use of a dynamic phenological model allows for the identification of growth stages that are particularly sensitive. Crop cycle length can be optimized by optimizing variety selection [8]. Developing a software based on Windows as something of an input element, the condition of the soil at a given time in terms of nutrient content to developed a database and software for its management and calculation of nutrient requirements based on measurements or estimates of existing nutrients and agrotechnical requirements for the crop.…”

Section: Introductionmentioning

confidence: 99%

Deployment of e-services based contextual smart agro system using internet of things

et al. 2022

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Climate change's effects are becoming more apparent, and farmers are bearing the brunt of the consequences. As a result, by 2050, food production is expected to decline by 18%. Therefore, the study's goal is to develop effective and well-organized roadmap for context-based smart agricultural systems using a pre-determined ICT framework. Following that, this study offers a four-level conceptual framework for an e-services-based smart agro system utilizing internet of things (IoT). Here, each level optimizes the IoT infrastructure to accept e-services based on contextual information supplied by the e-services. Furthermore, the proposed ICTization process intends to broaden the role of ICT technology development. Besides, the system's views decrease misunderstandings about technology, growth, and connectivity while also enhancing raw data, administration, and service synchronization. Farmers, agricultural officers, and network operators, for example, are all included in the proposed roadmap, which includes omnipresent farm treatment services. Precision farming, on the other hand, need new knowledge and innovation in order to achieve an integrated and comprehensive approach to technology.

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Clisagri: An R package for agro-climate services

Cited by 10 publications

References 42 publications

Climate service driven adaptation may alleviate the impacts of climate change in agriculture

Climate service driven adaptation may alleviate the impacts of climate change in agriculture

Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe

Deployment of e-services based contextual smart agro system using internet of things

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