Liangzhi You

ORCID: 0000-0001-7930-8814
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About
Contact & Profiles
Research Areas
  • Agricultural Innovations and Practices
  • Climate change impacts on agriculture
  • Land Use and Ecosystem Services
  • Agricultural risk and resilience
  • Remote Sensing in Agriculture
  • Agricultural Economics and Policy
  • Sustainable Agricultural Systems Analysis
  • Agriculture and Rural Development Research
  • Land Rights and Reforms
  • Remote Sensing and Land Use
  • Water resources management and optimization
  • Environmental Impact and Sustainability
  • Rice Cultivation and Yield Improvement
  • Agriculture Sustainability and Environmental Impact
  • Economic and Environmental Valuation
  • Rangeland Management and Livestock Ecology
  • Child Nutrition and Water Access
  • Energy and Environment Impacts
  • Microfinance and Financial Inclusion
  • Climate variability and models
  • Remote Sensing and LiDAR Applications
  • Hydrology and Watershed Management Studies
  • Crop Yield and Soil Fertility
  • Poverty, Education, and Child Welfare
  • Food Security and Health in Diverse Populations

International Food Policy Research Institute
2015-2024

Huazhong Agricultural University
2013-2024

Haramaya University
2023

University of Greenwich
2023

Aerospace Information Research Institute
2021

Chinese Academy of Sciences
2021

State Key Laboratory of Remote Sensing Science
2021

University of Chinese Academy of Sciences
2021

Institute of Agricultural Resources and Regional Planning
2014-2020

Chinese Academy of Agricultural Sciences
2014-2020

Crop production is the single largest cause of human alteration global nitrogen cycle. We present a comprehensive assessment flows in cropland for year 2000 with spatial resolution 5 arc-minutes. calculated total input (IN) 136.60 trillion grams (Tg) N per year, which almost half contributed by mineral fertilizers, and output (OUT) 148.14 Tg 55% uptake harvested crops crop residues. high-resolution maps quantifying distribution IN OUT flows, soil balance, surface balance. The data are...

10.1073/pnas.0913658107 article EN Proceedings of the National Academy of Sciences 2010-04-12

Abstract A new 1 km global IIASA ‐ IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual maps at to regional national scales. The products include existing land cover such as GlobCover and MODIS v.5, AFRICOVER from mapping agencies other organizations. different are ranked level using crowdsourced data Geo‐Wiki create that reflects likelihood cropland. Calibration with subnational crop statistics was then undertaken distribute...

10.1111/gcb.12838 article EN Global Change Biology 2015-01-16

Abstract Groundwater (GW) overexploitation is a critical issue in North China with large GW level declines resulting urban water scarcity, unsustainable agricultural production, and adverse ecological impacts. One approach to addressing depletion was transport from the humid south. However, impacts of diversion on remained largely unknown. Here, we show central South-to-North Water Diversion storage recovery Beijing within context climate variability other policies. diverted reduces...

10.1038/s41467-020-17428-6 article EN cc-by Nature Communications 2020-07-21

China's water policies in the past decades have relied heavily on construction of massive conservancy projects form dams and reservoirs, transfer projects, irrigation infrastructure. These facilities brought tremendous economic social benefits but also posed many adverse impacts eco-environment society. With intensification scarcity, future development is facing challenge supporting continuous while protecting resources dependent ecosystems. This paper provides an overview development,...

10.1016/j.gloenvcha.2013.02.002 article EN cc-by-nc-nd Global Environmental Change 2013-03-13

Global and regional scale agricultural monitoring systems aim to provide up-to-date information regarding food production different actors decision makers in support of global national security. To help reduce price volatility the kind experienced between 2007 2011, a system is needed ensure coordinated flow timely manner for early warning purposes. A number now exist that fill this role. This paper provides an overview eight main currently operation compares them based on input data models...

10.1016/j.agsy.2018.05.010 article EN cc-by Agricultural Systems 2018-07-26

Abstract. Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they less informative for subsequent spatially explicit environmental analyses. In the second part of two-paper series, we introduce SPAM2010 – latest datasets circa 2010 elaborate improvement SPAM (Spatial Production Allocation Model) dataset family since 2000. adds further methodological data enhancements to crop...

10.5194/essd-12-3545-2020 article EN cc-by Earth system science data 2020-12-21

Abstract Extremely high temperatures represent one of the most severe abiotic stresses limiting crop productivity. However, understanding responses to heat stress is still limited considering increases in both frequency and severity wave events under climate change. This partly due lack studies or tools for timely accurate monitoring extreme over broad spatial scales. In this work, we use novel spaceborne data sun‐induced chlorophyll fluorescence (SIF), which a new proxy photosynthetic...

10.1111/gcb.14302 article EN Global Change Biology 2018-05-11

Large-scale modes of climate variability can force widespread crop yield anomalies and are therefore often presented as a risk to food security. We quantify how contribute production variance. find that the El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), tropical Atlantic (TAV), North (NAO) together account for 18, 7, 6% globally aggregated maize, soybean, wheat variability, respectively. The lower fractions global-scale soybean result from substantial but offsetting...

10.1126/sciadv.aaw1976 article EN cc-by-nc Science Advances 2019-07-03

Abstract Forecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite challenges brought by climate change, an expanding world population accompanied rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, availability other environmental conditions influence growth, development, final grain yield a complex nonlinear manner. Machine learning (ML) techniques, deep (DL) methods...

10.1088/1748-9326/ab68ac article EN cc-by Environmental Research Letters 2020-01-07

Nitrogen (N) is an important nutrient for crop growth. However, the overuse of N fertilizers has led to a series devastating global environmental issues. Recent studies show that multiple datasets have been created agricultural fertilizer application with varied temporal or spatial resolutions, nevertheless, how synchronize and use these becomes problematic due inconsistent coverages, crop-specific allocations. Here we reconstructed comprehensive dataset fertilization at 5-arc-min resolution...

10.1038/s41597-023-02526-z article EN cc-by Scientific Data 2023-09-11

Abstract Dry‐land legumes, well adapted to drought‐prone areas, have largely been neglected in the past despite good opportunities they offer for income growth and food (and nutritional) security poor. This study evaluated adoption impact of two farmer market‐preferred disease‐resistant pigeonpea varieties that were developed promoted semi‐arid Tanzania. The new resistant fusarium wilt, a fungal disease devastating crop. However, farmers wanting adopt did not due seed access constraints...

10.1111/j.1574-0862.2008.00335.x article EN Agricultural Economics 2008-08-27

Abstract Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played role in providing datasets, large discrepancies been noted among the available products. use typically more difficult to map many cases cannot be remotely sensed. In-situ or ground-based data high resolution imagery are thus important requirement producing accurate datasets this precisely what lacking. Here we...

10.1038/sdata.2017.75 article EN cc-by Scientific Data 2017-06-13

Lack of accurate maps on the extent global cropland, and particularly spatial distribution major crop types, hampers policy strategic investment could potentially impede efforts to improve food security in an environment characterized by continued market volatility a changing climate. Here we discuss pressing need for provision spatially explicit cropland datasets at scale review strengths weaknesses various approaches used develop such data.

10.1016/j.gfs.2014.10.004 article EN cc-by-nc-sa Global Food Security 2014-10-28

Abstract We present evidence that farmers adjust agricultural inputs in response to within-season temperature variation, undertaking defensive investments reduce the adverse agro-ecological impacts of warmer temperatures. Using panel data from Kenyan maize-growing households, we find higher temperatures early growing season increase use pesticides, while reducing fertiliser use. Warmer throughout weeding effort. These adjustments arise because greater heat increases incidence pests, crop...

10.1093/ej/ueaa063 article EN The Economic Journal 2020-05-26
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