Your search found 8 records
1 Zhang, R.. 1996. Modeling flood and drip irrigations. ICID Journal, 45(2):81-92.
Drip irrigation ; Flood irrigation ; Fertilizers ; Nitrogen ; Leaching ; Simulation models ; Computer models ; Irrigation management ; Soil water ; Soil-water-plant relationships
(Location: IWMI-HQ Call no: PER Record No: H020047)
2 Jin, M.; Zhang, R.; Sun, L.; Gao, Y. 1999. Temporal and spatial soil water management: A case study in the Heilonggang Region, PR China. Agricultural Water Management, 42(2):173-187.
Soil water ; Water use efficiency ; Irrigation efficiency ; Water requirements ; Precipitation ; Crop production ; Soil moisture ; Plant growth ; Cotton ; Wheat ; Maize ; Computer models ; Experiments ; Fertilizers / China / Heilonggang Region
(Location: IWMI-HQ Call no: PER Record No: H025427)
3 Sharmasarkar, F. C.; Sharmasarkar, S.; Zhang, R.; Vance, G. F.; Miller, S. D.; Reddy, M. J. 2000. Modeling nitrate movement in sugarbeet soils under flood and drip irrigation. ICID Journal, 49(1):43-54.
Soil properties ; Nitrogen ; Fertilizers ; Flood irrigation ; Drip irrigation ; Simulation models ; Computer models ; Irrigation scheduling ; Leaching ; Soil-water-plant relationships
(Location: IWMI-HQ Call no: PER Record No: H026287)
4 Sharmasarkar, F. C.; Sharmasarkar, S.; Miller, S. D.; Vance, G. F.; Zhang, R.. 2000. Assessment of drip and flood irrigation on water and fertilizer use efficiencies for sugarbeets. Agricultural Water Management, 46(3):241-251.
Drip irrigation ; Flood irrigation ; Furrow irrigation ; Water use efficiency ; Sugar ; Fertilizers ; Nitrogen ; Sandy soils ; Drainage / USA / Wyoming
(Location: IWMI-HQ Call no: PER Record No: H027335)
5 Jin, M.; Liang, X.; Cao, Y.; Zhang, R.. 2006. Availability, status of development, and constraints for sustainable exploitation of groundwater in China. In Sharma, Bharat R.; Villholth Karen G.; Sharma, K. D. (Eds.). Groundwater research and management: integrating science into management decisions. Proceedings of IWMI-ITP-NIH International Workshop on "Creating Synergy Between Groundwater Research and Management in South and Southeast Asia," Roorkee, India, 8-9 February 2005. Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.47-61.
(Location: IWMI-HQ Call no: IWMI 333.9104 G000 SHA Record No: H039307)
(0.18 MB)
6 Chen, R.; Zhang, R.; Han, H. 2021. Where has carbon footprint research gone?. Ecological Indicators, 120:106882. [doi: https://doi.org/10.1016/j.ecolind.2020.106882]
Carbon footprint ; Research ; Climate change ; Bibliometric analysis ; Greenhouse gas emissions ; Carbon dioxide ; Livestock ; Milk production ; Food consumption ; Household consumption ; Indicators ; Case studies
(Location: IWMI HQ Call no: e-copy only Record No: H050107)
https://www.sciencedirect.com/science/article/pii/S1470160X20308207/pdfft?md5=d8d7b102429faa0c860f3db10fd42069&pid=1-s2.0-S1470160X20308207-main.pdf
https://vlibrary.iwmi.org/pdf/H050107.pdf
https://vlibrary.iwmi.org/pdf/H050107.pdf
(3.47 MB) (3.47 MB)
Carbon footprint (CF) stands for a professional term is widely used in the public domain to cope with the threat posed by climate change. With obtained 9848 records of literature information from the database of Web of Science, a bibliometric analysis was implemented to judge the knowledge domain structure and evolution of frontiers in CF research by using the CiteSpace to make up for the lack of previous reviews. The results showed that the CF research was concentrated in the fields of Engineering, Environmental sciences ecology, Science technology other topics, Energy fuels, Computer science and Business economics, and there is a significant cooperative relationship between researchers, especially those with a high volume of publications. The regional layout of intercontinental CF research forces was Europe, North America, and Asia, while that between countries were the United States of America, China, England, Australia and Italy, specifically, the Chinese Academy of Sciences showed the core force of CF research with a high volume of publications and strong cooperation with international institutions. The debate and application of CF accounting method, Case Studies of CF for livestock and its products production, CF estimation for the final consumption of goods and services, Impact of human food consumption on the climate change, Application of Footprint Family for sustainable development, and CF estimation for household consumption and its drivers were the emerging CF research fronts in historical evolution. Therefore, the CF research has its own characteristics in terms of spatial and temporal layout, cooperation intensity and knowledge hierarchy, and the related topics of cross-application of agriculture and energy are becoming the potential frontier of future research. This work not only provides the possible innovative directions, but also a reliable reference for the rapid and comprehensive understanding of CF research for the novices.
7 Zhang, R.; Wu, J.; Yang, Y.; Peng, X.; Li, C.; Zhao, Q. 2022. A method to determine optimum ecological groundwater table depth in semi-arid areas. Ecological Indicators, 139:108915. [doi: https://doi.org/10.1016/j.ecolind.2022.108915]
Groundwater table ; Water depth ; Indicators ; Ecological factors ; Semiarid zones ; Models ; Normalized difference vegetation index ; Uncertainty ; Remote sensing ; Soil water content ; Populus / China / Inner Mongolia / Hetao Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H051128)
https://www.sciencedirect.com/science/article/pii/S1470160X22003867/pdfft?md5=99831de53fd285ba271967a2781724db&pid=1-s2.0-S1470160X22003867-main.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
(9.24 MB) (9.24 MB)
Groundwater depth (GWD) is an important factor to sustain the ecological integrity of some ecosystems and is often used as an indicator of environmental quality in dry areas. Single-scale data gained from quadrat surveys is always used to establish a relationship with GWD to determine the optimum GWD. However, the randomness and uncertainty in single-scale data may result in insufficient reliability of results. To overcome this shortage, multiple growth indicators of poplar trees (Populus euphratica) in Hetao Irrigation District, including average crown width (ACW), tree height, diameter at breast height (DBH), mean ring spacing (MRC), and normalized difference vegetation index (NDVI), were acquired by field sampling and remote sensing. These indicators were used to establish relationships with the GWD by considering spatial and temporal variation to identify the optimum GWD. The cloud model was introduced and its three digital features derived from optimum groundwater depth data (expectation: Ex, entropy: En, and super-entropy: He) were calculated to construct the reverse cloud models W (Ex, En, He) for describing ecological GWD to determine the optimum ecological GWD in semi-arid areas. The results show that the optimum GWD range was 1.60–2.20 m. The cloud models obtained on spatial and temporal scales were WS (2.01, 0.07, 0.04) and WT (1.78, 0.10, 0.02), respectively. The resulting comprehensive cloud model WC (1.87, 0.14, 0.03) exhibited better variability, so 1.87 m was taken as the optimum GWD for poplars. This method can determine the regional ecological groundwater level more accurately and effectively, and provide evaluation indicators for the management of regional groundwater.
8 Zhou, G.; Huan, Y.; Wang, L.; Zhang, R.; Liang, T.; Han, X.; Feng, Z. 2023. Constructing a multi-leveled ecological security pattern for improving ecosystem connectivity in the Asian water tower region. Ecological Indicators, 154:110597. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2023.110597]
Ecosystem services ; Plateaus ; Sustainable Development Goals ; Biodiversity conservation ; Soil conservation ; Carbon sequestration ; Water conservation ; Land use ; Vegetation ; Landscape ; Models / Qinghai / Tibet
(Location: IWMI HQ Call no: e-copy only Record No: H052143)
https://www.sciencedirect.com/science/article/pii/S1470160X23007392/pdfft?md5=3ad8dcfb0e6d1bced43cd8c9ce2ecce5&pid=1-s2.0-S1470160X23007392-main.pdf
https://vlibrary.iwmi.org/pdf/H052143.pdf
https://vlibrary.iwmi.org/pdf/H052143.pdf
(19.20 MB) (19.2 MB)
Serious ecological crises have emerged in the Asian Water Tower region (17 countries centered on the Qinghai-Tibetan Plateau), making it a major priority and challenge for Asian and even global ecological conservation efforts. Constructing a multi-leveled ecological security pattern (ESP) based on the synergies among multiple ecosystem services (ESs) for this region can enhance the structural integrity, functional stability, and spatial connectivity of ecosystems. Therefore, based on a series of GIS spatial analysis methods, the minimum cumulative resistance model, and the analytic hierarchy process, this study measured the importance of five key ESs focused by Sustainable Development Goal 15 (including water conservation, carbon sequestration, sand fixation, soil conservation, and biodiversity conservation); and took fishnet scale as data calculation unit to construct a hierarchical ESP (including three levels of ecological sources and corridors) to provide evidence-based support for identifying and prioritizing synergistic conservation actions across scales (regions, nations, and basins). Overall, the ESP included a total of 534 sources and 656 corridors. Some key conservation obstacles in the region (e.g., edge effects and several human activities) and corresponding priority actions are provided, such as integrating the ESPs into long-term planning, enhancing the conservation and the restoration of both the extent and the quality of forests (e.g., increasing tree species richness), and increasing collaboration across scales for resource mobilization and synergistic land use.
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