印度春小麦农业生态系统的碳通量

K. N. Reddy, Shilpa Gahlot, Somnath Baidya Roy, Gudimetla Venkateswara Varma, V. Sehgal, Gayatri Vangala
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引用次数: 0

摘要

摘要农业生态系统的碳通量有助于碳循环和大气[CO2]的变化。这项研究一直延续到Gahlot等人(2020),他们使用综合科学评估模型(ISAM)来研究春小麦生产及其驱动因素。在这项研究中,我们观察了碳通量及其驱动因素。ISAM是根据Gahlot等人的IARI小麦实验点的作物表型进行校准和验证的。(2020)。我们通过将建模的叶面积指数(LAI)和产量与现场观测和区域数据集进行比较,在区域尺度上扩展了模型的验证。随后,ISAM模拟的碳通量在2013-2014年生长季节的IARI春小麦试验场进行了验证。此外,我们还与公布的碳通量数据进行了比较,发现ISAM很好地捕捉到了季节性。随后进行了区域规模的运行。结果表明,不同地区的通量差异很大,主要是由于种植日期的不同。在研究期间,所有通量都显示出统计学上显著的增加趋势(p<0.1)。总初级生产力(GPP)、净初级生产力(NPP)、自养增肥(Ra)和异养呼吸(Rh)分别增加了1.272、0.945、0.579、0.328和0.366 TgC yr−2。进行了数值实验,以研究自然力(如温度和二氧化碳水平的变化)以及农业管理实践(如氮肥和水的可用性)如何促进这一趋势。实验表明,增加[CO2]、增氮和灌溉水有助于增加碳通量,其中氮肥的作用最为显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon fluxes in spring wheat agroecosystem in India
Abstract. Carbon fluxes from agroecosystems contribute to the variability of the carbon cycle and atmospheric [CO2]. This study is a follow-up to Gahlot et al. (2020), which used the Integrated Science Assessment Model (ISAM) to examine spring wheat production and its drivers. In this study, we look at the carbon fluxes and their drivers. ISAM was calibrated and validated against the crop phenology at the IARI wheat experimental site in Gahlot et al. (2020). We extended the validation of the model on a regional scale by comparing modeled leaf area index (LAI) and yield against site-scale observations and regional datasets. Later, ISAM-simulated carbon fluxes were validated against an experimental spring wheat site at IARI for the growing season of 2013–2014. Additionally, we compared with the published carbon flux data and found that ISAM captures the seasonality well. Following that, regional-scale runs were performed. The results revealed that fluxes vary significantly across regions, primarily owing to differences in planting dates. During the study period, all fluxes showed statistically significant increasing trends (p<0.1). Gross primary production (GPP), net primary production (NPP), autotrophic respiration (Ra), and heterotrophic respiration (Rh) increased at 1.272, 0.945, 0.579, 0.328, and 0.366 TgC yr−2, respectively. Numerical experiments were conducted to investigate how natural forcings such as changing temperature and [CO2] levels as well as agricultural management practices such as nitrogen fertilization and water availability could contribute to the rising trends. The experiments revealed that increasing [CO2], nitrogen fertilization, and irrigation water contributed to increased carbon fluxes, with nitrogen fertilization having the most significant effect.
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