Publications by authors named "Zhuguo Ma"

Droughts cause multiple ecological and social damages. Drought indices are key tools to quantify drought severity, but they are mainly limited to timescales of monthly or longer. However, shorter-timescale (e.

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Article Synopsis
  • - The Indian Ocean Dipole (IOD) significantly affects climate, ecosystems, and society, but reliable predictions have been limited to just a few months ahead due to the winter predictability barrier.
  • - A new data-driven method called climate network analysis has been developed to enhance prediction capabilities for the IOD.
  • - This method can predict IOD events up to one year in advance (starting from December of the previous year) with over 70% accuracy, outperforming existing dynamic models.
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Since the late 1970s, the Yellow River Basin (YRB) has experienced accelerated land-use/land cover changes (LULCC) and consumptive water use (CWU) that have imposed low-flow regimes. Upon the continuation of these anthropogenic activities in the future, significant hydrological alteration is expected. This study takes a hydrological perspective on drought to project changes in the YRB drought risk under future LULCC and CWU business-as-usual (BAU) scenarios.

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Under global climate change and pressure from human activities, water scarcity is becoming a major concern in the quest for regional sustainable development in the Yellow River Basin (YRB). This study integrates scenarios of climate change and human activities under the Representative Concentration Pathway (RCP4.5 and RCP8.

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China has a rapidly growing online food delivery and takeaway market, serving 406 million customers with 10.0 billion orders and generating 323 kilotonnes of tableware and packaging waste in 2018. Here we use a top-down approach with city-level takeaway order data to explore the packaging waste and life-cycle environmental impacts of the takeaway industry in China.

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The coupled model AVIM-RIEMS2.0 is employed to examine the effects of climate change on the terrestrial ecosystem over East Asia during three decades since the 1980s. The vegetation parameters present significantly different responses to climate change in subregions, since the effects of climate change trigger seasonal signals on land surface processes at the regional scale.

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Drought in human-dominated environments cannot be seen as a unidirectional hazard as its characteristics are derived and modified by both natural climate variability and human influences. In this study, we applied an observation-modeling framework to quantify the natural and human controls on drought characteristics based on simulated and observed hydrometeorological data from six sub-catchments of the Yellow River Basin in China. A calibrated Soil and Water Assessment Tool (SWAT) was applied to simulate the naturalized situation, whereas Standardized Precipitation Index, Streamflow Drought Index, and Soil Moisture Deficit Index were used to characterize drought at meteorological, agricultural and hydrological aspects.

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The regression tree method is used to upscale evapotranspiration (ET) measurements at eddy-covariance (EC) towers to the grassland ecosystems over the Dryland East Asia (DEA). The regression tree model was driven by satellite and meteorology datasets, and explained 82% and 76% of the variations of ET observations in the calibration and validation datasets, respectively. The annual ET estimates ranged from 222.

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