Your search found 11 records
1 Wang, X.; Liu, M.; Liu, X.; Xing, X.; Mao, X. 1992. Water use and water use efficiency of winter wheat in a water-deficient and salt-affected area in Hebei province. In Shalhevet, J.; Liu, C.; Xu, Y. (Eds.) Water use efficiency in agriculture: Proceedings of the Binational China-Israel Workshop, Beijing, China, 22-26 April 1991. Rehovot, Israel: Priel Publishers. pp.136-146.
(Location: IWMI-HQ Call no: 631.7.2 G592 SHE Record No: H011011)
2 Cabangon, R. J.; Castillo, E. G.; Lu, G.; Cui, Y. L.; Tuong, T. P.; Bouman, B. A. M.; Li, Y.; Chen, C.; Wang, J.; Liu, X.. 2001. Impact of alternate wetting and drying irrigation on rice growth and resource-use efficiency. Barker, R.; Loeve, R.; Li, Y. H.; Tuong, T. P. (Eds.). Water-saving irrigation for rice: proceedings of an international workshop held in Wuhan, China, 23-25 March 2001. Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.55-79.
Crop-based irrigation ; Rice ; Fertilizers ; Nitrogen ; Rain ; Crop yield ; Percolation ; Seepage ; Paddy fields ; Experiments / China / Hubei / Tuanlin
(Location: IWMI-HQ Call no: IWMI 631.7.2 G592 BAR Record No: H027863)
3 Mao, R.; Fitzpatrick, R. W.; Liu, X.; Davies, P. J. 2002. Chemical properties of selected soils from the North China Plain. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.173-186.
Soil properties ; Soil salinity ; Sodic soils ; Alkalinity ; Soil properties / China / North China Plain
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H032999)
4 Liu, X.; Mao, R.; Bai, P.; Luo, C. 2002. Reclaiming the saline soils of Nanpi County: Turning knowledge into practice. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.366-370.
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H033014)
5 Zhang, M.; Qin, Z.; Liu, X.; Ustin, S. L. 2003. Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing. International Journal of Applied Earth Observation and Geoinformation, 4(4):295-310.
(Location: IWMI-HQ Call no: P 6739 Record No: H033869)
6 Wang, C.; Whitehead, C. D.; Chen, J.; Liu, X.; Chu, J. 2006. Options for the future: Balancing urban water supply and demand in Beijing. Water Policy, 8(2):97-110.
(Location: IWMI-HQ Call no: PER Record No: H038643)
7 Tang, Y.; Zhang, F.; Engel, B. A.; Liu, X.; Yue, Q.; Guo, P. 2020. Grid-scale agricultural land and water management: a remote-sensing-based multiobjective approach. Journal of Cleaner Production, 265:121792. (Online first) [doi: https://doi.org/10.1016/j.jclepro.2020.121792]
Farmland ; Water management ; Remote sensing ; Irrigation water ; Sustainable agriculture ; Crop water use ; Water requirements ; Water use efficiency ; Water allocation ; Water productivity ; Water supply ; Virtual water ; Evapotranspiration ; Precipitation ; Ecosystem services ; Economic aspects / China / Heihe River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049765)
(4.19 MB)
This paper developed a remote-sensing-based multiobjective (RSM) approach to formulate sustainable agricultural land and water resources management strategies at a grid scale. To meet the spatial resolution and accuracy need of agricultural management, downscaled precipitation data sets were obtained with the help of global precipitation measurement (GPM) data and other spatial information. Spatial crop water requirement information were obtained via the combination use of the Penman-Monteith method, remote sensing information (MOD16/PET) and virtual water theory. Through integrating these spatial data and considering the impact of different spatial environments on crop growth, a grid-based integer multiobjective programming (GIMP) model was developed to determine best suitable crop planting types at all grids. GIMP can simultaneously consider several conflicting objectives: crop growth suitability, crop spatial water requirements, and ecosystem service value. Further, GIMP results were inputted into a grid-based nonlinear fractional multiobjective programming (GNFMP) model with three objectives: maximize economic benefits, maximize water productivity, and minimize blue water utilization, to optimize irrigation-water allocation. To verify the validity of the proposed approach, a real-world application in the middle reaches of Heihe River Basin, northwest China was conducted. Results show that the proposed method can improve the ecosystem service value by 0.36 × 108 CNY, the economic benefit by 21.85%, the irrigation-water productivity by 25.92%, and reduce blue water utilization rate by 24.32% comparing with status quo.
8 Li, K.; Zhang, H.; Li, X.; Wang, C.; Zhang, J.; Jiang, R.; Feng, G.; Liu, X.; Zuo, Y.; Yuan, H.; Zhang, C.; Gai, J.; Tian, J. 2021. Field management practices drive ecosystem multifunctionality in a smallholder-dominated agricultural system. Agriculture, Ecosystems and Environment, 313:107389. (Online first) [doi: https://doi.org/10.1016/j.agee.2021.107389]
Farming systems ; Smallholders ; Ecosystem services ; Agroecosystems ; Management techniques ; Farmland ; Soil microorganisms ; Agrochemicals ; Fertilizers ; Households ; Farm income ; Farmers ; Socioeconomic aspects / China / Hebei / Quzhou
(Location: IWMI HQ Call no: e-copy only Record No: H050334)
(6.12 MB)
Agroecosystems provide multiple goods and services that are important for human welfare. Despite the importance of field management practices for agroecosystem service delivery, the links of socioeconomic factors, management practices and ecosystem multifunctionality have rarely been explicitly evaluated in agroecosystems. Here we used a county-scale database with 100 farmer households and their farmlands, and analyzed the relative importance of management practices, soil abiotic environment and soil biota on multifunctionality under three distinct (‘smallholder’s viewpoint’, ‘sustainable soils’ and ‘equal weight’) scenarios. Furthermore, we also analyzed the effect of smallholders’ socioeconomic factors on management practices. Our results found that smallholders’ high inputs of fertilizers and agrochemicals were associated with their high agricultural income and less farmland area, but total land area had a positive effect on straw incorporation. Total soil biota index was positively related to multifunctionality, however, management practices (fertilizer input, agrochemical input, organic fertilizer amount and straw incorporation) had stronger effect on multifunctionality than that of soil biota or the abiotic environment. Their strength varied with distinct scenarios. Our work suggests that increasing organic materials (organic fertilizers and crop residues) and decreasing agrochemicals are beneficial for maintaining or increasing ecosystem multifunctionality in smallholder-dominated agroecosystems. Moreover, improving management practices of smallholders needs to take into account the effects of their socioeconomic factors.
9 Han, D.; Huang, J.; Ding, L.; Liu, X.; Li, C.; Yang, F. 2021. Oxygen footprint: an indicator of the anthropogenic ecosystem changes. Catena, 206:105501. (Online first) [doi: https://doi.org/10.1016/j.catena.2021.105501]
Oxygen consumption ; Anthropogenic climate change ; Dryland ecosystems ; Land degradation ; Air temperature ; Greenhouse gas emissions ; Precipitation ; Evapotranspiration ; Vegetation ; Indicators
(Location: IWMI HQ Call no: e-copy only Record No: H050425)
(6.21 MB)
Drylands are one of the most sensitive areas to anthropogenic climate change and are projected to experience accelerated expansion throughout the end of this century. However, the responses of drylands degradation to anthropogenic ecosystem changes remain unclear. This study proposes a new perspective of the ‘oxygen footprint’, defined as the ratio between oxygen consumption and oxygen production, which could be regarded as an indicator in evaluating the effects of anthropogenic climate change on global dryland ecosystems. A global distribution of the trend of oxygen footprint in response to climate change indicators and the transformations for ecosystem functioning is presented. The response of oxygen footprint to human activities and global warming is projected to enhance in the 21st century. Under a high emissions scenario (RCP8.5), linear regression analysis between oxygen footprint and other indicators shows oxygen footprint to increase with the increase of air temperature, precipitation, potential evapotranspiration and dryland areas, respectively. Our study suggests that when oxygen production is unsustainable combined with oxygen consumption, this scenario will accelerate the degradation of dryland ecosystem, with fundamental and negative consequences for the capacity of drylands to supply essential ecosystem services.
10 Huang, Z.; Yuan, X.; Liu, X.. 2021. The key drivers for the changes in global water scarcity: water withdrawal versus water availability. Journal of Hydrology, 601:126658. (Online first) [doi: https://doi.org/10.1016/j.jhydrol.2021.126658]
Water scarcity ; Water extraction ; Water resources ; Water availability ; Water stress ; Water demand ; Water use ; Irrigation water ; Climate change ; Hydrology ; Human behaviour ; Models
(Location: IWMI HQ Call no: e-copy only Record No: H050523)
(9.96 MB)
Water scarcity has become a major issue to sustainable development. It can be estimated by available fresh water resources and human water withdrawal, which are affected by both climate change and human activities. However, the key drivers for the changes in water scarcity at global scale remain unclear due to large uncertainties in the estimations of the contributions from changes in water withdrawal and water availability. By using a newly reconstructed water withdrawal dataset and multi-model simulations of water availability, this study assessed global water scarcity evolution during 1971–2010 at half degree resolution and monthly time scale by applying the water stress index (WSI). Results showed that WSI increased in areas with 61.1% of global population during 1971–2010, and the increase in water withdrawal (especially agricultural sector) was the key driving factor for areas with 57.5% of global population. Specifically, growing water withdrawal led to increased water scarcity for areas with 21% of global population in spite of rising water availability resulted from climate change, such as in southeastern China, Southeast Asia, southern India, and Central Africa. In contrast, water scarcity mitigated over some developed areas including parts of USA, Europe and Japan with 8.8% of global population, which resulted from decreased human water withdrawal (especially industrial sector) and increased water availability. This study reveals the synergistic or contrary effects of changes in water withdrawal and water availability on the changes in water scarcity over the globe, and provides useful information for regional water planning and management.
11 Zhang, Q.; Sun, J.; Zhang, G.; Liu, X.; Wu, Y.; Sun, J.; Hu, B. 2023. Spatiotemporal dynamics of water supply-demand patterns under large-scale paddy expansion: implications for regional sustainable water resource management. Agricultural Water Management, 285:108388. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108388]
Water supply ; Water resources ; Water requirements ; Rice ; Growth period ; Climate change ; Precipitation ; Crop water use ; Irrigation water ; Water demand ; Water shortage ; Evapotranspiration / China / Sanjiang Plain / Songhua River / Wusuli River
(Location: IWMI HQ Call no: e-copy only Record No: H051983)
https://www.sciencedirect.com/science/article/pii/S0378377423002536/pdfft?md5=c08be234799e27a6e78d439d8bd87d74&pid=1-s2.0-S0378377423002536-main.pdf
https://vlibrary.iwmi.org/pdf/H051983.pdf
https://vlibrary.iwmi.org/pdf/H051983.pdf
(14.80 MB) (14.8 MB)
Climate change and large-scale paddy field expansion have altered the balance of water supply–demand in the Sanjiang Plain, a substantial commercial grain base in the high-latitude region of China. However, the matching pattern of water supply–demand throughout the growing period during the rapid expansion processes of paddy fields remains unknown. Hence, this study aimed to analyze the spatial–temporal variation characteristics of effective precipitation (Pem), crop water demand (ETc), supply–demand matching degree (MD), and irrigation water demand (IR) for different growing periods of paddy fields in the Sanjiang Plain using high-resolution meteorological and multi-period rice distribution data sets. The results showed that the area of paddy fields increased by 446% (20,064 km2) from 1990 to 2020 and almost completely covered the lowland of the Sanjiang Plain in 2020. ETc showed a slightly increasing trend initially and decreased afterward, while Pem and MD marginally increased at first and considerably increased subsequently during 1990–1995 and 2000–2020, respectively. MD has largely increased since 2000 in the Jiansanjiang area and the lower reaches of the Songhua River, where the largest paddy field expansion was experienced. However, the regional IR increased rapidly after 2000, which was associated with the expansion of paddy fields and further exceeded the carrying capacity of regional water resources. The efficiency of water resource utilization should be urgently improved, and integrated water resource planning and management should be implemented considering precipitation, surface water (regional water resources and transit water resources), and groundwater to promote the sustainable development of regional agriculture.
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