Impact of prolonged drought on rainfall use efficiency using MODIS data across China in the early 21st century

• Published in: Remote sensing of environment 2014-07, Vol.150, p.188-197
• Main Authors: Zhang, Xin, Susan Moran, M., Zhao, Xiang, Liu, Suhong, Zhou, Tao, Ponce-Campos, Guillermo E., Liu, Feng
• Format: Article
• Language: English
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Carbon cycle; China; Droughts; Drying; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Internal geophysics; Legacies; Mathematical models; Net primary productivity; Precipitation; Prolonged drought; Rainfall; Rainfall use efficiency; Resilience; Teledetection and vegetation maps
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/j.rse.2014.05.003

Frequency and severity of droughts are projected to increase in many regions, and their effects on temporal dynamics of the terrestrial carbon cycle remain uncertain. Ecosystem net primary productivity (NPP) is a key component of the carbon cycle, and rainfall use efficiency (RUE=NPP/precipitation) is an important measure of ecosystem stability and resilience. Here we investigated the temporal patterns of NPP and RUE and their key driving climate factors, during the early 21st century drought for four biomes in China: Needleleaf forest, Broadleaf forest, Woody savannas, and Grassland. Estimates of regional-scale NPP were based on the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) MOD17 NPP product. Our results confirmed recent findings that the impact of current-year precipitation on NPP was confounded by an array of biotic and abiotic factors. Whereas, the RUE responded strongly to variations in current- and previous-year drought for all the four biomes and the four biomes combined. We found that a dry year preceded by a wet year resulted in the highest RUE, and conversely, a wet year preceded by a dry year resulted in the lowest RUE. This was attributed to the legacy effect of precipitation changes in both wet and dry years, and to the resilience of the biomes in the dry years. Based on these results, we developed and validated a model of RUE based on the Palmer Drought Severity Index (PDSI) of both current and previous years which works well for these four biomes and all biomes combined. This model is particularly useful for understanding the impact of prolonged drought at the landscape scale because it is based on accessible satellite data and available meteorological data and the results have been tested across four major biomes. •The annual NPP was derived from MODIS global data set (MOD17A3).•The impact of current-year precipitation on NPP was weak across biome types.•The RUE responded strongly to variations in current- and previous-year drought.•We developed and validated a model of RUE based on two-year PDSI.