Jiayu Bao

ORCID: 0009-0009-0940-4574
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About
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Research Areas
  • Rangeland Management and Livestock Ecology
  • Tree-ring climate responses
  • Hydrology and Drought Analysis
  • Forest ecology and management
  • Energy and Environment Impacts
  • Climate change impacts on agriculture
  • Remote Sensing and LiDAR Applications
  • Plant Water Relations and Carbon Dynamics
  • Urban Heat Island Mitigation
  • Urban Transport and Accessibility
  • Remote Sensing in Agriculture
  • Solar Radiation and Photovoltaics
  • Hydrological Forecasting Using AI
  • Urban and Freight Transport Logistics
  • Environmental Impact and Sustainability
  • Belt and Road Initiative
  • Environmental and Agricultural Sciences
  • Plant Ecology and Soil Science
  • Cryospheric studies and observations
  • Land Use and Ecosystem Services
  • Climate variability and models
  • Transportation and Mobility Innovations
  • Climate change and permafrost
  • Flood Risk Assessment and Management
  • Agroforestry and silvopastoral systems

Xinjiang Institute of Ecology and Geography
2024-2025

Chinese Academy of Sciences
2024-2025

Kunming University of Science and Technology
2023-2025

Beijing Normal University
2025

Yunnan Provincial Department of Education
2024

Abstract Central Asia (CA) is a critical agricultural region, contributing significantly to global food and cotton production, yet it faces increasing threats from extreme heatwaves (HWs) due warming. Despite this, the specific impacts of historical future HWs on CA's cropland remain underexplored. Here, using five bias‐corrected circulation models Inter‐Sectoral Impact Model Intercomparison Project Phase 3b (ISIMIP3b), we present detailed analysis exposure periods (1995–2014) under three...

10.1029/2024ef005595 article EN cc-by-nc-nd Earth s Future 2025-03-01

The assessment of forest structural parameters is crucial for understanding carbon storage, habitat suitability, and timber stock. However, the labor-intensive expensive nature field measurements, coupled with inadequate sample sizes large-scale modeling, poses challenges. To address structure in Western Tianshan Mountains, this study used UAV-LiDAR to gather extensive data. This approach was enhanced by integrating Sentinel satellite topographic data using a Bayesian-Random Forest model...

10.3390/rs16071268 article EN cc-by Remote Sensing 2024-04-04

Abstract Central Asia and its southern neighbors are being ravaged by more frequent intense droughts floods. While research on is abundant, their interaction with floods monsoons, especially when originating in the south, has been understudied. This study employed temperature, precipitation, standardized precipitation evapotranspiration index (SPEI), agricultural drought indices such as water deficit (WDI), cumulative (CWD), Palmer severity (PDSI) to investigate role of monsoons increasing...

10.1029/2023jd040291 article EN Journal of Geophysical Research Atmospheres 2024-05-20

The flood–drought severity in arid regions such as Xinjiang is increasingly influenced by climate extremes. While prior studies have explored the relationship between extremes and dynamics, few analyzed these interactions at different time spatial scales using method combinations. This study addresses that gap utilizing a gridded dataset (CN05.1) during 1961–2020, examining China Z index (flood–drought index) analysis reveals significant increases precipitation heat extremes, while cold...

10.3390/rs17101746 article EN cc-by Remote Sensing 2025-05-16

To achieve the goals of carbon peak and neutrality, Xinjiang, as an autonomous region in China with large energy reserves, should adjust its development vigorously develop new sources, such photovoltaic (PV) power. This study utilized data spatiotemporal variation solar radiation from 1984 to 2016 verify that Xinjiang is suitable for PV power generation. Then, averages radiation, sunshine duration, other period after 2000 were used assess suitability based on spatial principal component...

10.3390/su16083281 article EN Sustainability 2024-04-15

The surface water area (SWA) and terrestrial storage (TWS) are both essential metrics for assessing regional resources. However, the combined effects of climate change human activities on dynamics SWA TWS have not been extensively researched within context CPEC. To fill this gap, we first analyzed annual changes in China–Pakistan Economic Corridor (CPEC) region recent decades using methods correlation analysis Geodetector. Our findings indicate that Sindh exhibited highest increase at 8.68...

10.3390/rs16081437 article EN cc-by Remote Sensing 2024-04-18

Abstract Climate warming has pronounced impacts on high-elevation regions, including arid Central Asia, and multiple the environment. Forests in these mountainous areas provide essential services by regulating regional climate, sequestering carbon, supporting soil water conservation. However, trends forest productivity their response to climate change remain unclear. To address this knowledge gap, we collected tree cores from five sample plots western Tianshan region. We used tree-ring...

10.1088/1748-9326/ad416a article EN cc-by Environmental Research Letters 2024-04-22

Fruit planting plays an essential role in achieving zero hunger, ensuring food security, and increasing the income of local people. As one China’s principal fruit-planting areas, southern Xinjiang possesses more than 80% total areas Xinjiang. However, spatial distribution, extent, types fruit trees remain unknown, generating uncertainty calculating economic benefits orchards this area. In paper, we used walnut jujube under tree–crop intercropping conditions Hotan Oasis as research object....

10.3390/f14112259 article EN Forests 2023-11-16

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10.2139/ssrn.4676709 preprint EN 2024-01-01
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