State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China.
Department of Agronomy-Crops, Soil, Environmental Science, Purdue University, West Lafayette, IN 47906, USA.
Sci Rep. 2017 Mar 15;7:44552. doi: 10.1038/srep44552.
Understanding drought from multiple perspectives is critical due to its complex interactions with crop production, especially in India. However, most studies only provide singular view of drought and lack the integration with specific crop phenology. In this study, four time series of monthly meteorological, hydrological, soil moisture, and vegetation droughts from 1981 to 2013 were reconstructed for the first time. The wheat growth season (from October to April) was particularly analyzed. In this study, not only the most severe and widespread droughts were identified, but their spatial-temporal distributions were also analyzed alone and concurrently. The relationship and evolutionary process among these four types of droughts were also quantified. The role that the Green Revolution played in drought evolution was also studied. Additionally, the trends of drought duration, frequency, extent, and severity were obtained. Finally, the relationship between crop yield anomalies and all four kinds of drought during the wheat growing season was established. These results provide the knowledge of the most influential drought type, conjunction, spatial-temporal distributions and variations for wheat production in India. This study demonstrates a novel approach to study drought from multiple views and integrate it with crop growth, thus providing valuable guidance for local drought mitigation.
从多个角度理解干旱至关重要，因为干旱与作物生产之间存在复杂的相互作用，尤其是在印度。然而，大多数研究仅提供了干旱的单一视角，缺乏与特定作物物候的综合。本研究首次重建了 1981 年至 2013 年期间的四个月气象、水文、土壤湿度和植被干旱的时间序列。特别分析了小麦生长季节（从 10 月到 4 月）。在本研究中，不仅确定了最严重和最广泛的干旱，还单独和并发地分析了它们的时空分布。还量化了这四种干旱之间的关系和演化过程。本研究还研究了绿色革命在干旱演变中的作用。此外，还获得了干旱持续时间、频率、范围和严重程度的趋势。最后，建立了小麦生长季节期间作物产量异常与所有四种干旱之间的关系。这些结果为印度小麦生产提供了最具影响力的干旱类型、组合、时空分布和变化的知识。本研究展示了一种从多个角度研究干旱并将其与作物生长相结合的新方法，为当地干旱缓解提供了有价值的指导。
