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A multi-adaptive framework for the crop choice in paludicultural cropping systems

机译:古土壤作物系统中作物选择的多适应框架

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The conventional cultivation of drained peatland causes peat oxidation, soil subsidence, nutrient loss, increasing greenhouse gas emissions and biodiversity reduction. Paludiculture has been identified as an alternative management strategy consisting in the cultivation of biomass on wet and rewetted peatlands. This strategy can save these habitats and restore the ecosystem services provided by the peatlands both on the local and global scale. This paper illustrates the most important features to optimise the crop choice phase, which is the crucial point for the success of paludiculture systems. A multi-adaptive framework was proposed. It was based on four points that should be checked to identify suitable crops for paludicultural cropping system: biological traits, biomass production, attitude to cultivation and biomass quality. The main agronomic implications were explored with the help of some results from a plurennial open-field experimentation carried out in a paludicultural system set up in the Massaciuccoli Lake Basin (Tuscany, Italy) and a complete example of the method application was provided. The tested crops were Arundo donax L., Miscanthus × giganteus Greef et Deuter, Phragmites australis L., Populus × canadensis Moench. and Salix alba L. The results showed a different level of suitability ascribable to the different plant species proving that the proposed framework can discriminate the behaviour of tested crops. Phragmites australis L. was the most suitable crop whereas Populus × canadensis Moench and Miscanthus × giganteus Greef et Deuter (in the case of biogas conversion) occupied the last positions in the ranking.
机译:排干泥炭地的常规耕作会导致泥炭氧化,土壤沉降,养分流失,温室气体排放量增加和生物多样性减少。已将古菌养殖确定为一种替代管理策略,包括在湿润和湿润的泥炭地上种植生物量。该策略可以在本地和全球范围内保存这些栖息地并恢复泥炭地提供的生态系统服务。本文阐述了优化作物选择阶段的最重要特征,这是古生物学系统成功的关键。提出了一种多适应框架。它基于四点,应进行检查以找出适合古土壤种植系统的农作物:生物学特性,生物量生产,耕种态度和生物量质量。借助在Massaciuccoli湖流域(意大利托斯卡纳,意大利)建立的古生物学系统中进行的多年开放试验的一些结果,探索了主要的农艺学意义,并提供了该方法应用的完整实例。测试的农作物为Arundo donax L.,Miscanthus×giganteus Greef et Deuter,Phragmites australis L.,Populus×canadensis Moench。结果表明,由于不同的植物物种而导致的适应性水平有所不同,证明了所提出的框架可以区分被测作物的行为。芦苇是最合适的农作物,而胡杨×加拿大一枝黄花和芒草×巨型Greef et Deuter(在沼气转化的情况下)在排名中排在最后。

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