Agricultural drought monitoring across Inner Mongolia, China: Model development, spatiotemporal patterns and impacts

• Published in: Journal of hydrology (Amsterdam) Vol. 571; pp. 793 - 804
• Main Authors: Shen, Zexi, Zhang, Qiang, Singh, Vijay P., Sun, Peng, Song, Changqing, Yu, Huiqian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2019
• Subjects: Agricultural drought; China; corn; crop yield; drought; Drought monitoring; evapotranspiration; growing season; IDCI; Integrated drought index; monitoring; PCA; potatoes; soil water; soybeans; Spatial-temporal characteristics; SPEI; temperature; vegetation; wheat; China; Spatial-temporal characteristics; IDCI; Drought monitoring; SPEI; Agricultural drought; Integrated drought index; PCA
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2019.02.028

•Development of new drought monitoring index for grassland.•New finding concerning drought variations in both space and time.•New viewpoints about impacts of droughts on agricultural production. Agricultural drought is related to meteorological and hydrologic conditions and the resilience vegetation to water deficit that have negative impacts on agricultural production. In this study, an integrated drought condition index (IDCI) was developed by integrating precipitation, potential evapotranspiration, temperature, soil moisture, and vegetation conditions. The performance of IDCI in agricultural drought monitoring was evaluated by comparing with standing drought indices, such as sc-PDSI (self-calibrated Palmer Drought Severity Index), SMCI (Soil Moisture Condition Index), and SCYI (Scaled Crop Yields Index). Then, IDCI was used to characterize the spatiotemporal pattern of agricultural drought across Inner Mongolia, China. Results indicated that: (1) IDCI performed as well in drought monitoring as did sc-PDSI and SCYI. However, IDCI performed better than did SPEI3 (standardized precipitation evapotranspiration index at a time scale of 3 months), SMCI (Soil Moisture Condition Index) and VCI (Vegetation Condition Index) with respect to reliable and stable drought monitoring, detection of soil moisture and reflection of agricultural loss; (2) during the growing season (May-September), the frequency of droughts with higher than moderate drought intensity tended to be diminishing from May to August, and was amplifying again from August to September; (3) during 2000 to 2014, the drought severity was subject to regular variability with consecutive droughts during transitions between drought conditions; (4) compared to SMCI, VCI and SPEI3, IDCI is highly related to SCYI for maize with correlation coefficient of up to 0.788; the correlation coefficients between IDCI and SCYI for soybean and potato are larger than 0.5, while the SCYI for wheat is related to droughts with severe and even higher severity based on IDCI. The idea behind the development of IDCI can be referenced for drought monitoring in other regions of the globe.