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Modelling water productivity for ecological intensification of crop sequences in the Inner Argentinean Pampas
Field Crops Research ( IF 5.8 ) Pub Date : 2021-07-26 , DOI: 10.1016/j.fcr.2021.108246
H. Videla-Mensegue 1 , O.P. Caviglia 2 , A. Degioanni 3 , J. Marcos 4 , E. Bonadeo 3
Affiliation  

The design of crop sequences based on ecological intensification (EI) may help to restore lost agroecosystem services and to increase resource use efficiency. Our aim was to evaluate, using a modelling approach, the impact of EI-based strategies, such as changing crop sequence configuration and increasing cropping intensity and agrobiodiversity, in the Inner Argentinean Pampas (IAP) region on water productivity (WP) of crop sequences and its components, i.e. water capture (Cw) and water use efficiency (WUE). We simulated crop sequences using SWB crop model for a 50-year period in two locations of IAP region. Crop sequences, of two-year duration each, had different configurations and included sole and/or double-crops in the growing season. These crop sequences were characterized using the following indexes of EI: cropping intensity index (CII), agrobiodiversity index (ABDI), cereal proportion (CP), maize (Zea mays L.) proportion (MP) and soybean (Glycine max [L] Merrill) proportion (SP). Our main findings reveal that: i) Regardless of location, all crop sequences alternatives to those based on a high SP had a higher estimated glucose yield, ii) Estimated glucose yield, WP, Cw, and WUE were significantly related to one or more indexes of EI included in multiple lineal models, iii) The role of Cw was more important than that of WUE to increase WP, iv) The choice of crop sequence was more critical to increase Cw when decreasing rainfall, v) vapour pressure deficit appears as a meteorological variable at least as important as the total amount of rainfall and its distribution pattern to design crop sequences in the IAP. Thus, the used modelling approach allowed us to evaluate crop sequences spanning a wide range of ecological intensification indexes, which take into account the level of agrobiodiversity, cropping intensity, and the proportion of key crops in their composition, gaining useful insights to design sustainable cropping systems.



中文翻译:

阿根廷内陆潘帕斯草原生态集约化作物序列用水生产力建模

基于生态集约化 (EI) 的作物序列设计可能有助于恢复失去的农业生态系统服务并提高资源利用效率。我们的目标是使用建模方法评估基于 EI 的策略对阿根廷内陆潘帕斯草原 (IAP) 地区作物序列的水生产力 (WP) 的影响,例如改变作物序列配置和增加种植强度和农业生物多样性及其组成部分,即水捕获(C w) 和用水效率 (WUE)。我们使用 SWB 作物模型在 IAP 地区的两个地点模拟了 50 年的作物序列。每个为期两年的作物序列具有不同的配置,包括生长季节的单一作物和/或双季作物。这些作物序列使用以下 EI 指标进行表征:种植强度指数 (CII)、农业生物多样性指数 (ABDI)、谷物比例 (CP)、玉米 ( Zea mays L.) 比例 (MP) 和大豆 ( Glycine max [L]美林)比例(SP)。我们的主要发现表明:i) 无论位置如何,所有作物序列替代基于高 SP 的作物序列具有更高的估计葡萄糖产量,ii) 估计葡萄糖产量,WP,C w, WUE 与包含在多个线性模型中的一项或多项 EI 指标显着相关, iii) C w比 WUE 对增加 WP的作用更重要, iv) 作物序列的选择对增加 C 的作用更为关键w当降雨量减少时, v) 水汽压差作为气象变量出现,至少与降雨总量及其分布模式一样重要,以在 IAP 中设计作物序列。因此,所使用的建模方法使我们能够评估涵盖范围广泛的生态集约化指数的作物序列,这些指标考虑了农业生物多样性水平、种植强度以及主要作物在其组成中的比例,从而获得了设计可持续种植的有用见解系统。

更新日期:2021-07-27
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