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模拟农业环境中的长期碳氮磷生物地球化学循环。

Simulating long-term carbon nitrogen and phosphorus biogeochemical cycling in agricultural environments.

机构信息

Pentland Centre for Sustainability in Business, Lancaster Environment Centre, Lancaster University, UK.

Pentland Centre for Sustainability in Business, Lancaster Environment Centre, Lancaster University, UK.

出版信息

Sci Total Environ. 2020 Apr 20;714:136599. doi: 10.1016/j.scitotenv.2020.136599. Epub 2020 Jan 11.

Abstract

Understanding how agricultural practices alter biogeochemical cycles is vital for maintaining land productivity, food security, and other ecosystem services such as carbon sequestration. However, these are complex, highly coupled long-term processes that are difficult to observe or explore through empirical science alone. Models are required that capture the main anthropogenic disturbances, whilst operating across regions and long timescales, simulating both natural and agricultural environments, and shifts among these. Many biogeochemical models neglect agriculture or interactions between carbon and nutrient cycles, which is surprising given the scale of intervention in nitrogen and phosphorus cycles introduced by agriculture. This gap is addressed here, using a plant-soil model that simulates integrated soil carbon, nitrogen and phosphorus (CNP) cycling across natural, semi-natural and agricultural environments. The model is rigorously tested both spatially and temporally using data from long-term agricultural experiments across temperate environments. The model proved capable of reproducing the magnitude of and trends in soil nutrient stocks, and yield responses to nutrient addition. The model has potential to simulate anthropogenic effects on biogeochemical cycles across northern Europe, for long timescales (centuries) without site-specific calibration, using easily accessible input data. The results demonstrate that weatherable P from parent material has a considerable effect on modern pools of soil C and N, despite significant perturbation of nutrient cycling from agricultural practices, highlighting the need to integrate both geological and agricultural processes to understand effects of land-use change on food security, C storage and nutrient sustainability. The results suggest that an important process or source of P is currently missing in our understanding of agricultural biogeochemical cycles. The model could not explain how yields were sustained in plots with low P fertiliser addition. We suggest that plant access to organic P is a key uncertainty warranting further research, particularly given sustainability concerns surrounding rock sources of P fertiliser.

摘要

了解农业实践如何改变生物地球化学循环对于维持土地生产力、粮食安全和其他生态系统服务(如碳固存)至关重要。然而,这些是复杂的、高度耦合的长期过程,仅通过经验科学很难观察或探索。需要建立模型来捕捉主要的人为干扰,同时在区域和长时间尺度上运行,模拟自然和农业环境,以及它们之间的转换。许多生物地球化学模型忽略了农业或碳和养分循环之间的相互作用,这令人惊讶,因为农业对氮和磷循环的干预规模如此之大。在这里,我们使用一种模拟自然、半自然和农业环境中综合土壤碳、氮和磷(CNP)循环的植物-土壤模型来解决这一差距。该模型通过在温带环境中进行的长期农业实验的数据进行了严格的时空测试。该模型证明能够重现土壤养分储量的大小和趋势,以及养分添加对产量的响应。该模型具有在无需特定地点校准的情况下,模拟北欧数百年来人为对生物地球化学循环的影响的潜力,使用易于获取的输入数据。结果表明,尽管农业实践对养分循环造成了重大干扰,但母质中的风化磷对现代土壤 C 和 N 储量仍有相当大的影响,这凸显了需要整合地质和农业过程来理解土地利用变化对粮食安全、C 储存和养分可持续性的影响。结果表明,在我们对农业生物地球化学循环的理解中,目前缺少一个重要的过程或磷源。该模型无法解释为什么在低磷施肥的地块中产量仍能维持。我们认为,植物对有机磷的利用是一个关键的不确定性,值得进一步研究,特别是考虑到围绕磷肥的岩石来源的可持续性问题。

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