Daorui Han

ORCID: 0000-0002-1871-7056
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About
Contact & Profiles
Research Areas
  • Soil Carbon and Nitrogen Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Rangeland Management and Livestock Ecology
  • Plant Ecology and Soil Science
  • Climate change and permafrost
  • Peatlands and Wetlands Ecology
  • Geology and Paleoclimatology Research
  • Methane Hydrates and Related Phenomena
  • Soil Geostatistics and Mapping
  • Soil and Unsaturated Flow
  • Atmospheric and Environmental Gas Dynamics
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Clay minerals and soil interactions
  • Coastal wetland ecosystem dynamics
  • Soil erosion and sediment transport
  • Forest, Soil, and Plant Ecology in China
  • Agriculture, Soil, Plant Science
  • Land Use and Ecosystem Services
  • Plant nutrient uptake and metabolism
  • Soil and Land Suitability Analysis
  • Remote Sensing in Agriculture
  • Ecology and Vegetation Dynamics Studies
  • Ecosystem dynamics and resilience
  • Atmospheric chemistry and aerosols

McMaster University
2024-2025

South China Normal University
2020-2022

University of Chinese Academy of Sciences
2015-2018

Institute of Geographic Sciences and Natural Resources Research
2015-2018

Chinese Academy of Sciences
2015-2018

Zhanjiang Experimental Station
2017

Xinjiang Agricultural University
2017

Xingx (China)
2010

The sensitivity of vegetation productivity to precipitation (Sppt ) is a key metric for understanding the variations in under changing and predicting future changes ecosystem functions. However, comprehensive assessment Sppt over all global land lacking. Here, we investigated spatial patterns temporal across from 2001 2018 with multiple streams satellite observations. We found consistent different products: was highest dry regions while low humid regions. Grassland shrubland showed ,...

10.1111/gcb.16403 article EN Global Change Biology 2022-08-23

Agricultural soils are widely recognized to be capable of carbon sequestration that contributes mitigating CO2 emissions. To better understand soil organic (SOC) stock dynamics and its driving controlling factors corresponding with a period rapid agronomic evolution from the 1980s 2010s in North China Plain (NCP), we collected data two region-wide sampling campaigns (in 2010s) conducted an analysis using random forest model. Between 2010s, environmental (i.e. salinity/fertility) societal...

10.1111/gcb.13898 article EN Global Change Biology 2017-09-07

Abstract The duration of climate anomalies has been increasing across the globe, leading to ecosystem function loss. Thus, we need understand responses long‐term anomalies. It remains unclear how resistance and resilience respond anomalies, for example, continuous dry years at a regional scale. Taking opportunity 13‐year period in temperate grasslands northern China, quantified grassland response this periodic period. We found vegetation increased with mean annual precipitation (MAP), while...

10.1002/ece3.7866 article EN cc-by Ecology and Evolution 2021-07-05

Abstract The Hudson Bay Lowlands (HBL) are recognized as the second largest peatland complex in world. Due to variability peat thickness across a large and heterogeneous landscape, existing carbon (C) storage estimates for HBL may contain uncertainty. Here, we use geospatial variables that associated with formation, age, accumulation, occurrence understand driving factors depth map C at 30 m spatial resolution. estimated average of is 184(±48) cm 90% values falling between 89 264 cm. Based...

10.1029/2024gl110679 article EN cc-by Geophysical Research Letters 2025-01-17

Abstract The Qinghai-Tibetan Plateau (TP) accumulated a large amount of organic carbon, while its size and response to environmental factors for the whole area remain uncertain. Here, we synthesized dataset date with largest data volume broadest geographic coverage over TP, composing 7196 observations from multiple field campaigns since 1980s, provided comprehensive assessment spatial distribution carbon pools both plant soils on TP using machine learning algorithms. estimated soil (SOC)...

10.1088/1748-9326/ac78f5 article EN cc-by Environmental Research Letters 2022-06-15

Abstract Despite the obvious importance of roots to agro‐ecosystem functioning, few studies have attempted examine effects warming on root biomass and distribution, especially under different tillage systems. In this study, we performed a field experiment using infrared heaters winter wheat, in long‐term conventional no‐tillage plots, determine responses distribution warming. Soil monoliths were collected from three soil depths (0–10, 10–20, 20–30 cm). Results showed that was noticeably...

10.1002/ece3.3864 article EN cc-by Ecology and Evolution 2018-01-29

Methane (CH 4 ) is the second most prevalent greenhouse gas after CO 2 in atmosphere.Its concentration air more than twice pre-industrial level, and has reached approximately 1,800 ppb recent years [1], increasing at an annual rate of 1.1% since era [2].Aerobic soils have been suggested as a biological process for atmospheric CH can consume about 20-45 Tg •yr -1 from atmosphere [3,4].

10.15244/pjoes/36181 article EN Polish Journal of Environmental Studies 2015-01-01

• Peat depth increases with distance further away from the coast in Hudson Bay Lowlands (HBL) The average peat of HBL is 184 (±48) cm 90% depths falling within 87-264 stores 30 (±6) Pg carbon (C) value 86 (±35) kg m-2

10.22541/essoar.171828456.66424229/v1 preprint EN Authorea (Authorea) 2024-06-13

The Hudson Bay Lowlands (HBL) are recognized as the second largest peatland complex in world. Due to variability peat thickness across a large and heterogeneous landscape, existing carbon (C) storage estimates for HBL may contain uncertainty. Here, we use geospatial variables that associated with formation, age, accumulation, occurrence understand driving factors depth map C at 30m spatial resolution. estimated average of is 184(±48) cm 90% values falling between 89 264 cm. Based on...

10.22541/essoar.173046611.10305340/v1 preprint EN Authorea (Authorea) 2024-11-01

This study was aimed at qualifying the methane emission ability of different communities in alpine meadow, and monitoring if dominant species from these could emit a sand culture experiment. Using static chamber technique gas chromatography method, two experiments were conducted field laboratory. First, flux rate measured plant communities: natural meadows (NM), Elymus nutans pasture (EP), herbaceous community shrub (HS), Poa fruticosa meadow (PS). A 3-month experiment to show non-microbial...

10.3161/15052249pje2015.63.2.006 article EN Polish Journal of Ecology 2015-06-01
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