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  1. Article ; Online: Climate policy must integrate blue energy with food security.

    Gong, Yuyan / He, Liuyue / Ye, Guanqiong / Zeng, Jiangning

    Nature

    2024  Volume 625, Issue 7994, Page(s) 241

    MeSH term(s) Food Security/legislation & jurisprudence ; Water Movements ; Environmental Policy/legislation & jurisprudence ; Environmental Policy/trends
    Language English
    Publishing date 2024-01-09
    Publishing country England
    Document type Letter
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-024-00023-w
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  2. Article ; Online: WHCrop: A novel water-heat driven crop model for estimating the spatiotemporal dynamics of crop growth for arid region

    He, Liuyue / Xue, Jingyuan / Wang, Sufen

    Agricultural Water Management. 2023 Sept., v. 287 p.108410-

    2023  

    Abstract: Crop models are widely used to assist in agricultural management decision-making and water productivity optimization. However, traditional crop models often depend on artificial and specific field management inputs, posing challenges in maintaining crops ...

    Abstract Crop models are widely used to assist in agricultural management decision-making and water productivity optimization. However, traditional crop models often depend on artificial and specific field management inputs, posing challenges in maintaining crops within a desired stress range. Consequently, the derived optimization schemes from these models become highly uncertain. Moreover, the complexity of the mechanisms involved and the multitude of parameters make it challenging to apply traditional crop models uniformly across various crops and regions. In this study, we have developed a novel crop model called WHCrop (Water-Heat Driven Crop model) that effectively captures, reflects, and controls the impact of various environmental factors (meteorology, topography, soil, and management) on crop growth process. The WHCrop model combines the simulation principles of biomass and yield from the CERES module in the DSSAT model, along with the soil water balance from the AquaCrop model, to estimate the dynamics of crop growth and production processes. Results indicated that WHCrop-based simulations, including canopy cover (CC), daily evapotranspiration (ET), and yield, matched well with ground-based measurements, and were better than the traditional crop model (DSSAT and AquaCrop) at both field and regional scales, especially under deficient irrigation conditions. Besides capturing the key variables associated with crop growth, WHCrop model could reproduce the adaptive response of these various to regional-scale temperature changes. Notably, the WHCrop model could effectively minimize uncertainties resulting from individual environmental change, thanks its incorporation of dynamic response mechanisms for crop growth under stress factors. Overall, the novel and informative WHCrop model offers some advantages over traditional crop models since it allows for optimal decision making to be derived from the randomly different inputs. As a result, the WHCrop model proves instrumental in assisting decision-makers in formulating critical water allocation strategies and developing effective management recommendations to enhance regional agricultural water productivity.
    Keywords agricultural management ; arid zones ; biomass ; canopy ; crop models ; decision making ; evapotranspiration ; irrigation ; meteorology ; soil water balance ; temperature ; topography ; water allocation ; Dynamic crop model ; Water-heat driven ; Yield ; Crop growth process ; Heihe river basin
    Language English
    Dates of publication 2023-09
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 751144-9
    ISSN 1873-2283 ; 0378-3774
    ISSN (online) 1873-2283
    ISSN 0378-3774
    DOI 10.1016/j.agwat.2023.108410
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  3. Article ; Online: Optimizing the allocation of irrigation water for multiple crops based on the crop water allocation priority

    Gong, Juan / He, Liuyue / Liu, Xiuxia / Wang, Sufen

    Irrig Sci. 2023 Jan., v. 41, no. 1 p.49-68

    2023  

    Abstract: There is an urgent need to ensure regional food security and increase irrigation water productivity in response to water shortages in arid and semi-arid regions. Previous studies of the optimal allocation of irrigation water did not consider ... ...

    Abstract There is an urgent need to ensure regional food security and increase irrigation water productivity in response to water shortages in arid and semi-arid regions. Previous studies of the optimal allocation of irrigation water did not consider simultaneously optimizing across multiple crops or at different growth stages. This paper describes the development of an irrigation water optimization model that uses a crop water allocation priority (CWAP) model. The CWAP value was determined by quantifying the changes in three indicators: yield, economic benefits, and irrigation water productivity. Maximum yield, maximum economic benefits, and minimum irrigation shortage (at the critical crop and growth stage) were used as the objective functions of a non-linear multi-objective optimization model. The largest irrigation district in the northern arid area of China, Hetao Irrigation District (HID), was chosen to prototype this model. The optimization results, using CWAP, showed that yield, economic benefits, irrigation water productivity, and water productivity could be increased, respectively, by up to 13.38%, 13.40%, 2.30%, and 6.29%, for most crops when compared with optimization results without CWAP. Comparison of the optimized net irrigation quantities with the actual net irrigation quantities showed that optimization reduced water usage by up to 60.77% for wheat, 51.24% for corn, and 63.59% for sunflower. Blue water utilization under optimal irrigation conditions decreased by 1.12% for wheat, 2.91% for corn, and 9.91% for sunflower, compared with those in actual irrigation scenario. This method of optimizing irrigation water allocation in arid areas using CWAP provides decision-makers with accurate water-saving irrigation protocols that will reduce demand for water resources and promote sustainable agriculture.
    Keywords Helianthus annuus ; corn ; decision making ; developmental stages ; food security ; irrigation ; irrigation water ; models ; prototypes ; sustainable agriculture ; water allocation ; water conservation ; water utilization ; wheat ; China
    Language English
    Dates of publication 2023-01
    Size p. 49-68.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 133938-2
    ISSN 1432-1319 ; 0342-7188
    ISSN (online) 1432-1319
    ISSN 0342-7188
    DOI 10.1007/s00271-022-00792-0
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  4. Article ; Online: Soil microplastics pollution in agriculture.

    He, Liuyue / Li, Zhongbin / Jia, Qian / Xu, Zhenci

    Science (New York, N.Y.)

    2023  Volume 379, Issue 6632, Page(s) 547

    Language English
    Publishing date 2023-02-09
    Publishing country United States
    Document type Letter
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adf6098
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  5. Article ; Online: Optimal cropping patterns can be conducive to sustainable irrigation: Evidence from the drylands of Northwest China

    Fan, Yunfei / He, Liuyue / Liu, Yi / Wang, Sufen

    Agricultural Water Management. 2022 Oct. 08, p.107977-

    2022  , Page(s) 107977–

    Abstract: The pressures of frequent extreme weather, water shortages and increasing food demand pose a continued challenge of maintaining the sustainable development of irrigated agricultural systems. Although rational arable land management is fundamental to ... ...

    Abstract The pressures of frequent extreme weather, water shortages and increasing food demand pose a continued challenge of maintaining the sustainable development of irrigated agricultural systems. Although rational arable land management is fundamental to alleviating these pressures, the relationship between cropping patterns and irrigation sustainability is understudied. Using the Hexi Corridor as an example, a maximum entropy machine learning model was used to determine the optimal cropping pattern based on crop suitability and to explore the impact mechanism of the optimal cropping pattern on the irrigation sustainability index (SI) from the perspective of reliability, resilience, and vulnerability. An optimal cropping pattern was conducive to sustainable irrigation and reduced irrigation water use by 21.03% from 1960s–2010s with no continued agricultural expansion. Thus, the challenges of food security and sustainability for similar regions, and globally, can be met but will require major changes in cropping planning and management.
    Keywords arable soils ; arid lands ; food security ; irrigation ; irrigation water ; land management ; models ; sustainable development ; water management ; weather ; China ; cropping patterns ; agricultural water ; sustainability
    Language English
    Dates of publication 2022-1008
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 751144-9
    ISSN 1873-2283 ; 0378-3774
    ISSN (online) 1873-2283
    ISSN 0378-3774
    DOI 10.1016/j.agwat.2022.107977
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  6. Article ; Online: Spatiotemporally optimize water-nitrogen management of crop planting in response to carbon emissions mitigation

    Fan, Yunfei / He, Liuyue / Liu, Yi / Wang, Sufen

    Journal of Cleaner Production. 2022 Dec., v. 380 p.134974-

    2022  

    Abstract: Greenhouse gas emissions from irrigation and nitrogen fertilizer applications in agriculture are attracting increasing attention, and the development of low-carbon agriculture has become an inevitable trend in the implementation of carbon neutrality. ... ...

    Abstract Greenhouse gas emissions from irrigation and nitrogen fertilizer applications in agriculture are attracting increasing attention, and the development of low-carbon agriculture has become an inevitable trend in the implementation of carbon neutrality. However, the optimization of water and nitrogen in crop planting still lacks precise management at the grid scale. From the perspective of agricultural carbon emission reduction, this study proposes a precise regional water and nitrogen management approach that can optimize irrigation and nitrogen fertilizer application in space and time. In this study, a coupled crop water-nitrogen production function model was constructed by analyzing the response relationship between nitrogen and water on crop yield. The verification results showed that the model had superior fitting accuracy, with R² and NRMSE values of 0.88, 10.50%, 0.8 and 7.76% for maize and wheat, respectively. After combining the water-nitrogen coupling function with the cellular automaton model, a spatiotemporal optimization model was developed to realize grid-scale regional water and nitrogen management. The case study showed that the optimized irrigation and nitrogen scheme could save 2.73% of agricultural water, decrease nitrogen fertilizer use by 9.69%, and reduce carbon emissions by 4.39%. Correlation analysis of irrigation and fertilization can provide accurate guidance for regional irrigation and fertilization systems. Therefore, considering the contribution of agricultural “carbon reduction sources” to carbon neutrality, water saving, and nitrogen reduction should be considered in low-carbon agricultural development, which is conducive to the green and sustainable development of agriculture.
    Keywords agricultural development ; carbon ; case studies ; corn ; crop yield ; fertilizer application ; greenhouse gases ; irrigation ; models ; nitrogen ; nitrogen fertilizers ; production functions ; space and time ; sustainable development ; wheat ; Agricultural carbon emissions ; Water-nitrogen coupling ; Cellular automata ; Spatiotemporal optimization
    Language English
    Dates of publication 2022-12
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2022.134974
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  7. Article ; Online: Improving food system sustainability: Grid-scale crop layout model considering resource-environment-economy-nutrition

    Hou, Yu / Liu, Yi / Xu, Xiaoyu / Fan, Yunfei / He, Liuyue / Wang, Sufen

    Journal of Cleaner Production. 2023 June, v. 403 p.136881-

    2023  

    Abstract: Rapidly growing population has led to increasing food demands and greater food system pressure. It is urged to find a way to improve the sustainability of food system. Therefore, this study attempted to develop a regional crop layout model (CAMOO-Crop) ... ...

    Abstract Rapidly growing population has led to increasing food demands and greater food system pressure. It is urged to find a way to improve the sustainability of food system. Therefore, this study attempted to develop a regional crop layout model (CAMOO-Crop) combining cellular automata model with multi-objective optimization model to improve food system sustainability. The model can (1) consider the carbon sequestration of farmland vegetation, carbon emissions from production inputs, and human demand for crop nutrient supply, (2) balance the trade-offs among multiple dimensions of resource, environment, economy and nutrition in the crop food system, (3) obtain grid-scale crop space layout schemes considering special distribution. The model was applied to the Shiyang River Basin in China to verify its effectiveness. After optimization, crop water productivity per unit area increased by 2.12%, carbon sequestration increased by 0.32%, carbon emission decreased by 1.87%, the net benefit increased by 2.66%, carbohydrate supply decreased by 0.19%, calcium supply increased by 5.74%. In addition, a cropland-scale food system sustainability evaluation index system was constructed, and the Food System Sustainability Index (FSSI) and Coupling Coordination Degree (CCD) were introduced to evaluate the sustainability of food systems under different crop layout scenarios. The results showed that compared with single-objective model scenario and the status quo, CAMOO-Crop model performed best, with FSSI from 0.70 to 0.91; CCD from 0.83 to 0.95. The developed model can promote sustainable development of the regional food system and guide decision-makers to rationally distribute regional crops.
    Keywords agricultural land ; calcium ; carbohydrates ; carbon ; carbon sequestration ; decision making ; humans ; local food systems ; models ; nutrition ; sustainable development ; vegetation ; watersheds ; China ; Cellular automata ; Grid-scale ; Crop layout ; Multi-objective modelling ; Trade-off ; Food system sustainability assessment
    Language English
    Dates of publication 2023-06
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2023.136881
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  8. Article: Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis

    Ahmadi, Arman / Emami, Mohammad / Daccache, Andre / He, Liuyue

    Agronomy. 2021 Feb. 26, v. 11, no. 3

    2021  

    Abstract: Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has been under study for decades now with limited application outside ... ...

    Abstract Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has been under study for decades now with limited application outside research. The recent advancement in precision agriculture and the need for the spatial assessment of soil properties have raised interest in this technique. The performance of soil spectroscopy differs from one site to another depending on the soil’s physical composition and chemical properties but it also depends on the instrumentation, mode of use (in-situ/laboratory), spectral range, and data analysis methods used to correlate reflectance data to soil properties. This paper uses the systematic review procedure developed by the Centre for Evidence-Based Conservation (CEBC) for an evidence-based search of soil property prediction using Visible (V) and Near-InfraRed (NIR) reflectance spectroscopy. Constrained by inclusion criteria and defined methods for literature search and data extraction, a meta-analysis is conducted on 115 articles collated from 30 countries. In addition to the soil properties, findings are also categorized and reported by different aspects like date of publication, journals, countries, employed regression methods, laboratory or in-field conditions, spectra preprocessing methods, samples drying methods, spectroscopy devices, wavelengths, number of sites and samples, and data division into calibration and validation sets. The arithmetic means of the coefficient of determination (R²) over all the reports for different properties ranged from 0.68 to 0.87, with better predictions for carbon and nitrogen content and lower performance for silt and clay. After over 30 years of research on using V-NIR spectroscopy to predict soil properties, this systematic review reveals solid evidence from a literature search that this technology can be relied on as a low-cost and fast alternative for standard methods of soil properties prediction with acceptable accuracy.
    Keywords agronomy ; arithmetics ; carbon ; clay ; cost effectiveness ; instrumentation ; meta-analysis ; near-infrared spectroscopy ; nitrogen content ; precision agriculture ; prediction ; reflectance ; reflectance spectroscopy ; silt ; soil properties ; systematic review
    Language English
    Dates of publication 2021-0226
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2607043-1
    ISSN 2073-4395
    ISSN 2073-4395
    DOI 10.3390/agronomy11030433
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  9. Article ; Online: Dynamics of land cover changes and carbon emissions driven by large dams in China.

    He, Liuyue / Bhattarai, Nishan / Pokhrel, Yadu / Jia, Nan / Zhu, Peng / Ye, Guanqiong / Xu, Zhenci / Wu, Shaohua / Li, Zhongbin B

    iScience

    2024  Volume 27, Issue 4, Page(s) 109516

    Abstract: The recent surge in dam construction has sparked debates regarding their contribution to carbon neutrality and food security, focusing on trade-offs between production benefits and ecological drawbacks. However, how dams affect carbon emissions and land ... ...

    Abstract The recent surge in dam construction has sparked debates regarding their contribution to carbon neutrality and food security, focusing on trade-offs between production benefits and ecological drawbacks. However, how dams affect carbon emissions and land cover changes, including their spatial differentiations, remains unclear. We quantified spatiotemporal variations in carbon emissions and storage of 137 large dams in China from 1992 to 2020, resulting from land cover change in potentially affected areas. We observed a lesser increase in carbon emissions and a more pronounced increase in carbon storage driven by forest conservation and regeneration within dam-affected areas compared to unaffected areas. Additionally, we noticed an increased grain yield in nearby areas potentially due to increased water availability. Our findings highlight the importance of considering land cover change when assessing carbon neutrality or grain yield at regional and national scales. This study provides useful insights into optimizing dam locations to mitigate future carbon emissions effectively.
    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2024.109516
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  10. Article ; Online: Spatio-temporal coupling analysis and tipping points detection of China's coastal integrated land-human activity-ocean system.

    Hua, Tianran / He, Liuyue / Jiang, Qutu / Chou, Loke-Ming / Xu, Zhenci / Yao, Yanming / Ye, Guanqiong

    The Science of the total environment

    2024  Volume 914, Page(s) 169981

    Abstract: The coastal zone is typically highly developed and its ocean environment is vastly exposed to the onshore activities. Land-based pollution, as the "metabolite" of terrestrial human activities, significantly impacts the ocean environment. Although ... ...

    Abstract The coastal zone is typically highly developed and its ocean environment is vastly exposed to the onshore activities. Land-based pollution, as the "metabolite" of terrestrial human activities, significantly impacts the ocean environment. Although numerous studies have investigated these effects, few have quantified the interactions among land-human activity-ocean across both spatial and temporal scales. In this study, we have developed a land-human activity-ocean systemic framework integrating the coupling coordination degree model and tipping point to quantify the spatiotemporal dynamic interaction mechanism among the land-based pollution, human activities, and ocean environment in China from 2001 to 2020. Our findings revealed that the overall coupling coordination degree of the China's coastal zone increased by 36.9 % over last two decades. Furthermore, the effect of human activities on China's coastal environment remained within acceptable thresholds, as no universal tipping points for coastal pollution or ocean environment has been found over the 20-year period. Notably, the lag time for algal blooms, the key indicator of ocean environment health, was found to be 0-3 years in response to the land economic development and 0-4 years in response to land-based pollution. Based on the differences in spatiotemporal interactions among land-human activity-ocean system, we employed cluster analysis to categorize China's coastal provinces into four types and to develop appropriate management measures. Quantifying the interaction mechanism within the land-human activity-ocean system could aid decision-makers in creating sustainable coastal development strategies. This enables efficient use of land and ocean resources, supports coastal conservation and restoration efforts, and fosters effective management recommendations to enhance coastal sustainability and resilience.
    MeSH term(s) Humans ; Ecosystem ; Conservation of Natural Resources ; Environmental Pollution ; China ; Oceans and Seas
    Language English
    Publishing date 2024-01-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.169981
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