Shaoqiang Wang

ORCID: 0000-0002-4111-6689
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About
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Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Land Use and Ecosystem Services
  • Climate variability and models
  • Soil Carbon and Nitrogen Dynamics
  • Remote Sensing and Land Use
  • Plant responses to elevated CO2
  • Urban Heat Island Mitigation
  • Hydrology and Watershed Management Studies
  • Leaf Properties and Growth Measurement
  • Forest ecology and management
  • Peatlands and Wetlands Ecology
  • Remote Sensing and LiDAR Applications
  • Environmental Changes in China
  • Ecology and Vegetation Dynamics Studies
  • Species Distribution and Climate Change
  • Climate change and permafrost
  • Soil erosion and sediment transport
  • Climate change impacts on agriculture
  • Hydrology and Drought Analysis
  • Cryospheric studies and observations
  • Urban Green Space and Health
  • Solar Radiation and Photovoltaics
  • Rice Cultivation and Yield Improvement

University of Chinese Academy of Sciences
2018-2025

Institute of Geographic Sciences and Natural Resources Research
2016-2025

China University of Geosciences
2019-2025

China University of Geosciences (Beijing)
2022-2024

Chinese Academy of Sciences
2014-2024

Qingdao University of Technology
2024

Qingdao University of Science and Technology
2024

Ministry of Natural Resources
2024

Wuhan University of Science and Technology
2024

Jining Medical University
2022

Abstract Water use efficiency (WUE) measures the trade-off between carbon gain and water loss of terrestrial ecosystems better understanding its dynamics controlling factors is essential for predicting ecosystem responses to climate change. We assessed magnitude, spatial patterns trends WUE China’s drought using a process-based model. During period from 2000 2011, national average annual (net primary productivity (NPP)/evapotranspiration (ET)) China was 0.79 g C kg −1 H 2 O. Annual decreased...

10.1038/srep13799 article EN cc-by Scientific Reports 2015-09-08

Abstract Soils with pedogenic carbonate cover about 30% (3.44 × 10 6 km 2 ) of China, mainly across its arid and semiarid regions in the Northwest. Based on second national soil survey (1979–1992), total inorganic carbon (SIC) storage China was estimated to be 53.3±6.3 PgC (1 Pg=10 15 g) depth investigated m. Soil storages were 4.6, 10.6, 11.1, 20.8 Pg for ranges 0–0.1, 0.1–0.3, 0.3–0.5, 0.5–1 m, respectively. Stocks 0.1, 0.3, 0.5, 1 m accounted 8.7%, 28.7%, 49.6%, 88.9% SIC, In contrast...

10.1111/j.1365-2486.2008.01642.x article EN Global Change Biology 2008-05-27

The carbon budgets in terrestrial ecosystems China are strongly coupled with climate changes. Over the past decade, has experienced dramatic changes characterized by enhanced summer monsoon and decelerated warming. However, trends of net ecosystem production (NEP) under not well documented. Here, we used three models to simulate spatiotemporal variations China's NEP during 1982-2010 quantify contribution strengthened warming hiatus four distinct climatic regions country. Our results revealed...

10.1093/nsr/nwz021 article EN cc-by National Science Review 2019-02-17

Abstract Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of plant canopy as a big leaf by these can introduce large uncertainties in simulated GPP. Recently, two‐leaf light (TL‐LUE) model was developed GPP separately for sunlit and shaded leaves has been shown outperform big‐leaf MOD17 at six FLUX sites China. In this study we investigated performance TL‐LUE wider range biomes. For optimized parameters tested using data...

10.1002/2014jg002876 article EN cc-by-nc-nd Journal of Geophysical Research Biogeosciences 2015-12-09

As the second largest rice producer, India contributes about 20% of world’s production. Timely, accurate, and reliable yield prediction in is crucial for global food security health issues. Deep learning models have achieved excellent performances predicting crop yield. However, interpretation deep still rare. In this study, we proposed a transformer-based model, Informer, to predict across Indian Indo-Gangetic Plains by integrating time-series satellite data, environmental variables,...

10.3390/rs14195045 article EN cc-by Remote Sensing 2022-10-10

We have investigated the pools and distributions of soil phosphorus (P) in top 50 cm China by using a combination total available P information from more than 2400 profiles map types at resolution 1:1,000,000. Our estimates indicate that average density are about 8.3 × 10 2 g/m 3 5.4 , respectively. The national pool surface half meter is 3.5 Pg (10 15 g). ranges 0.7 Lithosols to 16.7 Irrigated Silting Soils. 1.2 19 Frigid Desert ratio 0.6 −3 Aeolian Soils 21.6 Coastal Solonchaks. content...

10.1029/2004gb002296 article EN Global Biogeochemical Cycles 2005-03-01

Soils, an important component of the global carbon cycle, can be either net sources or sinks atmospheric dioxide (CO2). In this study, we use first and second national soil surveys China to investigate patterns changes in organic storage (SOC) during period from 1960s 1980s. Our results show that there is a large amount variability SOC density among different types land uses The wetlands Southwest was highest (45 kg m−2), followed by meadow soils South (26 forest woodlands Northwest (19...

10.3402/tellusb.v55i2.16715 article EN Tellus B 2003-01-01

China's terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to interannual variation (IAV) of sink and attributions climate variations are not well understood. Here we have investigated how four zones with various variabilities contribute IAV net ecosystem productivity (NEP) using modeled fluxes data from six models. Model results show that monsoonal region China dominates national NEP a contribution 86% (69%–96%) on average. Yearly changes mostly...

10.1088/1748-9326/aaec95 article EN cc-by Environmental Research Letters 2018-10-30
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