A5075338016- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Climate variability and models
- Hydrology and Drought Analysis
- Plant responses to elevated CO2
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Watershed Management Studies
- Land Use and Ecosystem Services
- Soil Moisture and Remote Sensing
- Urban Heat Island Mitigation
- Climate change impacts on agriculture
- Plant Ecology and Soil Science
- Plant Stress Responses and Tolerance
- Environmental Changes in China
- Water-Energy-Food Nexus Studies
- Water resources management and optimization
- Advanced Glycation End Products research
- Air Quality Monitoring and Forecasting
- Genomics, phytochemicals, and oxidative stress
- Conducting polymers and applications
- Environmental and Agricultural Sciences
- Plant responses to water stress
- Soil Geostatistics and Mapping
Beijing Normal University
2023-2025
Peking University
2017-2024
Northwest Institute of Eco-Environment and Resources
2023-2024
Chinese Academy of Sciences
2023-2024
Jinan University
2024
University of Montana
2015-2020
Nanjing University
2010-2014
Abstract Satellite remote sensing provides unmatched spatiotemporal information on vegetation gross primary productivity (GPP). Yet understanding of the relationship between GPP and observations how it changes with factors such as scale, biophysical constraint, type remains limited. This knowledge gap is especially apparent for dryland ecosystems, which have characteristic high variability are under‐represented by long‐term field measurements. Here we utilize an eddy covariance (EC) data...
Accurate crop yield assessments using satellite remote sensing-based methods are of interest for regional monitoring and the design policies that promote agricultural resiliency food security. However, application current vegetation productivity algorithms derived from global observations is generally too coarse to capture cropland heterogeneity. The fusion data different sensors can provide enhanced information overcome many limitations individual sensors. In thitables study, we estimate...
Abstract. In recent years, China's terrestrial ecosystems have experienced frequent droughts. How these droughts affected carbon sequestration by the is still unclear. this study, process-based Boreal Ecosystem Productivity Simulator (BEPS) model, driven remotely sensed vegetation parameters, was employed to assess effects of on net ecosystem productivity (NEP) in China from 2000 2011. Droughts differing severity, as indicated a standard precipitation index (SPI), hit extensively 2001, 2006,...
Abstract Drought is increasing in frequency and severity, exacerbating food water security risks an era of continued global warming human population growth. Here, we analyzed a severe summer drought affecting the US Northern Plains region 2017. We examined spatial pattern seasonal progression vegetation productivity use using satellite-based estimates field-scale (30 m) cropland evapotranspiration (ET), county level annual crop production statistics, GOME-2 satellite observations...
Abstract Global warming is increasing due to the ongoing rise in atmospheric greenhouse gases, and has potential threaten humans ecosystems severely. Carbon dioxide, primary rising gas, also enhances vegetation carbon uptake, partially offsetting emissions. The physiological response through partial stomatal closure leaf area increase, can amplify global warming, yet this rarely accounted for climate mitigation assessments. Using six Earth System Models, we show that consistently amplifies...
Abstract Large spatial‐scale effects of climate extremes on gross primary production (GPP), the largest terrestrial carbon flux, are highly uncertain even as these increase in frequency and extent. Here we report impacts spring warming summer drought 2012 GPP across contiguous United States (CONUS) using estimates from four models: Vegetation Photosynthesis Model (VPM), MOD17A2H V006, Carnegie‐Ames‐Stanford Approach, Simple Biosphere/Carnegie‐Ames‐Stanford Approach. VPM simulations driven by...
Abstract Increasing atmospheric CO 2 causes substantial spatial and seasonal changes in air temperature precipitation through its radiative (RAD) vegetation physiological (PHY) effects. However, it remains poorly understood on how these two effects impact the integrated climate zone shifts over China. Here, we disentangle RAD PHY of Köppen‐Geiger zones from pre‐industrial to 4 × China using nine Earth system models. We find that approximately 56.1% China, contributes 15.2% such at . regional...
Abstract Vegetation light‐use efficiency (LUE) is a critical parameter of vegetation photosynthesis, but its global variations and the drivers remain poorly understood. Here, we used data from 172 flux tower sites to characterize distribution ecosystem‐level LUE spanning various climate. The growing season average was 1.30 ± 0.55 g C MJ −1 for 2000–2014. main factors driving included environmental conditions (e.g., temperature), plant traits foliar nitrogen concentration isohydricity) their...
Compound soil drought and heat extremes are expected to occur more frequently with global warming, causing wide-ranging socio-ecological repercussions. Vegetation modulates air temperature moisture through biophysical processes, thereby influencing the occurrence of such extremes. Global vegetation cover is broadly increase under climate change, but it remains unclear whether greening will alleviate or aggravate future increases in compound drought-heat events. Here, using a suite...
Abstract Rising atmospheric CO 2 impacts on vegetation physiological processes can alter land feedbacks precipitation and water resources, but understanding of regional differences in these changes is uncertain. We investigate the impact rising resources for different wetness levels using four Earth system models. find an overall tendency runoff to increase across all levels. However, increases wet regions are much larger than those dry regions, especially seasons. This substantial...
The reliable simulation of gross primary productivity (GPP) at various spatial and temporal scales is significance to quantifying the net exchange carbon between terrestrial ecosystems atmosphere. This study aimed verify ability a nonlinear two-leaf model (TL-LUEn), linear (TL-LUE), big-leaf light use efficiency (MOD17) simulate GPP half-hourly, daily 8-day using derived from 58 eddy-covariance flux sites in Asia, Europe North America as benchmarks. Model evaluation showed that overall...
Light use efficiency (LUE) models are widely used to estimate gross primary productivity (GPP), a dominant component of the terrestrial carbon cycle. Their outputs very sensitive LUE. Proper determination this parameter is prerequisite for LUE simulate GPP at regional and global scales. This study was devoted investigating ability photochemical reflectance index (PRI) track variations sub-tropical planted coniferous forest in southern China using tower-based PRI measurements over period from...
Abstract Plant transpiration is a key flux of surface water loss to the atmosphere, determining available for ecosystem and human use. However, over China, magnitude its spatial pattern remain poorly understood due lack constraints from in situ observations. Here we compile 34 plot‐scale annual measurements across China evaluate performance four products, then produce new constrained map China. The reveals an value 209.0 mm yr −1 , while products have large spread values (173.4–307.9 ),...
Abstract Satellite-based land surface temperature (Ts) with continuous global coverage is increasingly used as a complementary measure for air (Ta), yet whether they observe similar temporal trends remains unknown. Here, we systematically analyzed the trend of difference between satellite-based Ts and station-based Ta (Ts–Ta) over 2003–2022. We found warming rate inffered from was on average 42.6% slower than that (Ts–Ta trend: −0.011 °C yr −1 , p = 0.06) during daytime summer. This Ts-based...
A rapidly developing "flash drought" occurred over the US Northern Plains in summer of 2017, spurred by unusually high temperatures and strong evaporative demand. The impacts drought included widespread reductions rangeland agricultural productivity that cascaded into significant economic losses. Here, we used satellite information from NASA Soil Moisture Active Passive (SMAP) mission to clarify nature impact on regional vegetation growth. model enhanced SMAP Level 4 (L4SM) Carbon (L4C)...