Your search found 11 records
1 Ahmad, Mobin-ud-Din; Islam, Aminul; Masih, Ilyas; Muthuwatta, Lal P.; Karimi, Poolad; Turral, Hugh. 2009. Mapping basin-level water productivity using remote sensing and secondary data in the Karkheh River Basin, Iran. Water International, 34(1):119-133. [doi: https://doi.org/10.1080/02508060802663903]
River basins ; Water productivity ; Mapping ; Remote sensing ; Livestock ; Crop production ; Plant water relations ; Water allocation ; Climate ; Catchment areas ; Water use ; Evapotranspiration ; Rainfed farming ; Irrigated farming / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H042128)
2 Lannerstad, M. 2002. Consumptive water use feeds the world and makes rivers run dry. MSc thesis. Stockholm, Sweden: Royal Institute of Technology. 73p. (TRITA-LWR Master Thesis 02-13)
Rivers ; River basin management ; Water depletion ; Water use ; Water accounting ; Food production ; Irrigated farming ; Rainfed farming ; Population growth ; Freshwater ; Plant water relations / South Asia / Colorado River / Ebro River / Nile River / Amu Darya River / Syr Darya River / Aral Sea / Indus River / Ganges River / Yellow River / Huang He River / Murray Darling River Basin
(Location: IWMI HQ Call no: 551.483 G000 LAN Record No: H043897)
(0.12 MB)
3 Smaith, D. H. 2008. Consumptive irrigation water use intermountain meadows of Colorado. Colorado Water Newsletter, 25(1):18-19.
Mountains ; Irrigation water ; Water use ; Plant water relations ; Meadows ; River basins ; Evapotranspiration ; Models / USA / Colorado
(Location: IWMI HQ Call no: e-copy only Record No: H044748)
http://wsnet.colostate.edu/cwis31/ColoradoWater/Images/Newsletters/2008/CW_25_1.pdf
https://vlibrary.iwmi.org/pdf/H044748.pdf
https://vlibrary.iwmi.org/pdf/H044748.pdf
(0.40 MB) (8.71 MB)
4 Kumar, D. S.; Kuppannan, Palanisami. 2012. Social benefit cost analysis of drip irrigation. In Palanisami, Kuppannan; Raman, S.; Mohan, Kadiri (Eds.). Micro-irrigation: economics and outreach. New Delhi, India: Macmillan. pp.267-284.
Irrigation systems ; Drip irrigation ; Social aspects ; Cost benefit analysis ; Farming systems ; Irrigated sites ; Households ; Investment ; Pumping ; Wells ; Crop yields ; Energy consumption ; Plant water relations ; Farms / India / Tamil Nadu / Coimbatore District
(Location: IWMI HQ Call no: IWMI Record No: H044878)
(3.23 MB)
5 Carr, M. K. V.; Lockwood, R.; Knox, J. W. 2012. Advances in irrigation agronomy: plantation crops. New York, NY, USA: Cambridge University Press. 343p.
Plantations ; Agriculture ; Crop production ; Roots ; Bananas ; Theobroma cacao ; Coconuts ; Coffee ; Oil palms ; Rubber crops ; Sisal ; Sugarcane ; Tea ; Plant water relations ; Water requirements ; Water productivity ; Irrigation systems ; Irrigation scheduling ; Drip irrigation ; Evapotranspiration ; Drought
(Location: IWMI HQ Call no: 633 G000 CAR Record No: H045937)
6 Berthelsen, S.; Noble, Andrew D.; Ruaysoongnerm, S.; Webb, M.; Hengfu, H.; Jiexiang, Y. 2005. Addition of clay based soil ameliorants to light textured soils to reduce nutrient loss and increase crop productivity. In International Union of Soil Sciences (IUSS); Institut de Recherche pour le Developpement (IRD); Thailand. Land Development Department (LDD); International Water Management Institute (IWMI); FAO. Regional Office for Asia and the Pacific (FAO RAP); Khon Kaen University. Faculty of Agriculture. Management of tropical sandy soils for sustainable agriculture: a holistic approach for sustainable development of problem soils in the tropics. Proceedings of the First Symposium on Management of Tropical Sandy Soils for Sustainable Ariculture, Khon Kaen, Thailand, 27 November – 2 December 2005. Bangkok, Thailand: FAO Regional Office for Asia and the Pacific (FAO RAP). pp.373-382.
Soil texture ; Soil fertility ; Soil chemicophysical properties ; Soil organic matter ; Clay soils ; Sandy soils ; Cation exchange capacity ; Bentonite ; Plant water relations ; Agricultural production ; Productivity ; Rice ; Yields ; Farmers ; Biomass / Northern Australia / Northeast Thailand / China / Hainan
(Location: IWMI HQ Call no: 630 G000 INT Record No: H047329)
(0.46 MB) (16.9 MB)
Productivity decline occurs in many agronomic systems due to loss of soil organic matter and a consequent decline in soil fertility. This is pronounced in light textured soils, which even in their pristine state can have low levels of fertility. High temperatures and leaching conditions in tropical environments further exacerbates this poor fertility. In order to facilitate agronomic production on these soils, significant amounts of organic or inorganic fertilizers are required to maintain economic yields. However, the inherent low cation exchange capacity (CEC) of these soils limits their ability to retain nutrients such as Ca2+, Mg2+ and K+. The addition of inorganic fertilizer is often beyond the means of resource poor farmers and has the potential negative impact on the environment due significant leaching losses associated with the high hydraulic conductivity of light textured sandy soils. This paper reviews results from field experiments designed to assess the efficacy of bentonite (high-activity clay with a high CEC) additions on improving crop productivity and reducing nutrient loss. A number of field trials were established on light-textured soils in Northern Australia, Northeast Thailand and Hainan Province in China. Treatments and crop species (including sugarcane and various forage crops) differed at each of the study locations and included a range of rates (from 10 to 60 t ha-1), different application methods (broadcast, banded and slotted), and in some trials a comparison with other commonly used field amendments (e.g. various organic materials and termite mound material). These field trials demonstrated significant increases in crop biomass and yields associated with clay additions. Additional glasshouse studies support the observed increases in biomass observed in the field trials, and suggest that the yield increases were due to a combination of increased water-holding capacity, nutrient availability and reduced nutrient loss. These results support the notion that degraded light textured soils can be highly productive if intrinsic properties are addressed through clay additions.
7 Gago, J.; Douthe, C.; Coopman, R. E.; Gallego, P. P.; Ribas-Carbo, M.; Flexas, J.; Escalona, J.; Medrano, H. 2015. UAVs challenge to assess water stress for sustainable agriculture. Agricultural Water Management, 153:9-19. [doi: https://doi.org/10.1016/j.agwat.2015.01.020]
Water stress ; Water management ; Water use efficiency ; Sustainable agriculture ; Aerial photography ; Thermography ; Remote sensing ; Precision agriculture ; Crops ; Plant physiology ; Plant water relations ; Canopy ; Reflectance ; Chlorophylls ; Fluorescence
(Location: IWMI HQ Call no: e-copy only Record No: H047412)
(2.14 MB)
Unmanned aerial vehicles (UAVs) present an exciting opportunity to monitor crop fields with high spatial and temporal resolution remote sensing capable of improving water stress management in agriculture. In this study, we reviewed the application of different types of UAVs using different remote sensors and compared their performance with ground-truth plant data. Several reflectance indices, such as NDVI, TCARI/OSAVI and PRInorm obtained from UAVs have shown positive correlations related to water stress indicators such as water potential (_ ) and stomatal conductance (gs). Nevertheless, they have performed differently in diverse crops; thus, their uses and applications are also discussed in this study. Thermal imagery is also a common remote sensing technology used to assess water stress in plants, via thermal indices (calculated using artificial surfaces as references), estimates of the difference between canopy and air temperature, and even canopy conductance estimates derived from leaf energy balance models. These indices have shown a great potential to determine field stress heterogeneity using unmanned aerial platforms. It has also been proposed that chlorophyll fluorescence could be an even better indicator of plant photosynthesis and water use efficiency under water stress. Therefore, developing systems and methodologies to easily retrieve fluorescence from UAVs should be a priority for the near future. After a decade of work with UAVs, recently emerging technologies have developed more user-friendly aerial platforms, such as the multi-copters, which offer industry, science, and society new opportunities. Their use as high-throughput phenotyping platforms for real field conditions and also for water stress management increasing temporal and resolution scales could improve our capacity to determine important crop traits such as yield or stress tolerance for breeding purposes.
8 Finley, S. 2016. Sustainable water management in smallholder farming: theory and practice. Wallingford, UK: CABI. 198p.
Water management ; Sustainability ; Smallholders ; Rainfed farming ; Conservation agriculture ; Water resources ; Water availability ; Water productivity ; Water use efficiency ; Rainwater ; Water harvesting ; Water quality ; Soil water content ; Water holding capacity ; Plant water relations ; Crop management ; Water requirements ; Evapotranspiration ; Climate change ; Irrigation water ; Water distribution ; Water storage ; Irrigation methods ; Irrigation scheduling ; Irrigation efficiency ; Strategies ; Land degradation
(Location: IWMI HQ Call no: 631.7 G000 FIN Record No: H047765)
(0.44 MB)
9 Rathore, V. S.; Nathawat, N. S.; Bhardwaj, S.; Sasidharan, R. P.; Yadav, B. M.; Kumar, M.; Santra, P.; Yadava, N. D.; Yadav, O. P. 2017. Yield, water and nitrogen use efficiencies of sprinkler irrigated wheat grown under different irrigation and nitrogen levels in an arid region. Agricultural Water Management, 187:232-245. [doi: https://doi.org/10.1016/j.agwat.2017.03.031]
Irrigated farming ; Sprinkler irrigation ; Nitrogen ; Water use efficiency ; Crop yield ; Wheat ; Water deficit ; Water productivity ; Crop management ; Plant growth ; Plant water relations ; Yield components ; Harvest index ; Leaf area ; Dry matter ; Weather ; Arid zones / India / Rajasthan / Bikaner
(Location: IWMI HQ Call no: e-copy only Record No: H048147)
(1.61 MB)
A major challenge in crop production is to achieve the goal of increasing both yield and resource use efficiency. Irrigation water and nitrogen (N) are scarce and expensive resources constraining wheat production in arid regions. There is limited information on how irrigation and N supply can be simultaneously manipulated to achieve higher yield, water productivity (WP), and nitrogen use efficiency (NUE) of wheat in arid regions. A two-year field experiment was conducted to investigate the effects of irrigation and N rates on yield, WP and NUE of wheat in a hot, arid environment at Bikaner, India. The experimental treatments comprised of six irrigation [100% (ETm; full evapotranspiration), 90% (ETd1), 80% (ETd2), 70% (ETd3), 60% (ETd4), and 50% (ETd5) of ETc (crop evapotranspiration)] levels, and four N [0 (N0), 40 (N40), 80 (N80), and 120 (N120) kg ha-1] rates. Moderate deficit irrigation (ETd2) had greatest WP and caused a 17% reduction in water consumption with only a 5% reduction in yield compared to full irrigation (ETm). The N application improved yield and WP. The NUE declined with a reduction in water application and an increase in N rates. The yield and WP response to N rates modified with irrigation levels. The signifi-cant increase in grain yield was recorded with N120 at ETm and ETd1, with N80 at ETd2 and ETd3, and with N40 at ETd4 and ETd5 irrigation levels. The significant increase in WP was recorded with N80 at ETm, ETd1, ETd2 and ETd3, and with N40 at ETd4 and ETd5 irrigation levels. The results suggested that moderate deficit irrigation (ETd2) along with 120 kg N ha-1 could ensure satisfactory grain yield and WP of wheat in arid regions. The study also indicated that the adoption of an appropriate deficit irrigation and N rate combination can be an effective means to reduce non-beneficial water consumption, achieve higher yield, and improve WP and NUE for wheat in an arid environment.
10 Damm, A.; Cogliati, S.; Colombo, R.; Fritsche, L.; Genangeli, A.; Genesio, L.; Hanus, J.; Peressotti, A.; Rademske, P.; Rascher, U.; Schuettemeyer, D.; Siegmann, B.; Sturm, J.; Miglietta, F. 2022. Response times of remote sensing measured sun-induced chlorophyll fluorescence, surface temperature and vegetation indices to evolving soil water limitation in a crop canopy. Remote Sensing of Environment, 273:112957. (Online first) [doi: https://doi.org/10.1016/j.rse.2022.112957]
Plant water relations ; Leaf water potential ; Canopy ; Remote sensing ; Surface temperature ; Vegetation index ; Chlorophylls ; Fluorescence ; Soil water ; Maize / Italy / Tuscany
(Location: IWMI HQ Call no: e-copy only Record No: H050996)
https://www.sciencedirect.com/science/article/pii/S0034425722000712/pdfft?md5=f358a1acfb0c958d984037b09f412ce7&pid=1-s2.0-S0034425722000712-main.pdf
https://vlibrary.iwmi.org/pdf/H050996.pdf
https://vlibrary.iwmi.org/pdf/H050996.pdf
(10.80 MB) (10.8 MB)
Vegetation responds at varying temporal scales to changing soil water availability. These process dynamics complicate assessments of plant-water relations but also offer various access points to advance understanding of vegetation responses to environmental change. Remote sensing (RS) provides large capacity to quantify sensitive and robust information of vegetation responses and underlying abiotic change driver across observational scales. Retrieved RS based vegetation parameters are often sensitive to various environmental and plant specific factors in addition to the targeted plant response. Further, individual plant responses to water limitation act at different temporal and spatial scales, while RS sampling schemes are often not optimized to assess these dynamics. The combination of these aspects complicates the interpretation of RS parameter when assessing plant-water relations. We consequently aim to advance insight on the sensitivity of physiological, biochemical and structural RS parameter for plant adaptation in response to emerging soil water limitation. We made a field experiment in maize in Tuscany (Central Italy), while irrigation was stopped in some areas of the drip-irrigated field. Within a period of two weeks, we measured the hydraulic and physiological state of maize plants in situ and complemented these detailed measurements with extensive airborne observations (e.g. sun-induced chlorophyll fluorescence (SIF), vegetation indices sensitive for photosynthesis, pigment and water content, land surface temperature). We observe a double response of far-red SIF with a short-term increase after manifestation of soil water limitation and a decrease afterwards. We identify different response times of RS parameter representing different plant adaptation mechanisms ranging from short term responses (e.g. stomatal conductance, photosynthesis) to medium term changes (e.g. pigment decomposition, changing leaf water content). Our study demonstrates complementarity of common and new RS parameter to mechanistically assess the complex cascade of functional, biochemical and structural plant responses to evolving soil water limitation.
11 Masenyama, A.; Mutanga, O.; Dube, T.; Sibanda, M.; Odebiri, O.; Mabhaudhi, T. 2023. Inter-seasonal estimation of grass water content indicators using multisource remotely sensed data metrics and the cloud-computing Google Earth Engine platform. Applied Sciences, 13(5):3117. (Special issue: Remote Sensing Applications in Agricultural, Earth and Environmental Sciences) [doi: https://doi.org/10.3390/app13053117]
Grasslands ; Plant water relations ; Estimation ; Remote sensing ; Datasets ; Leaf area index ; Vegetation index ; Climatic factors ; Indicators ; Satellite observation ; Forecasting ; Spatial distribution ; Models / South Africa / KwaZulu-Natal / Vulindlela
(Location: IWMI HQ Call no: e-copy only Record No: H051820)
https://www.mdpi.com/2076-3417/13/5/3117/pdf?version=1677581546
https://vlibrary.iwmi.org/pdf/H051820.pdf
https://vlibrary.iwmi.org/pdf/H051820.pdf
(4.12 MB) (4.12 MB)
Indicators of grass water content (GWC) have a significant impact on eco-hydrological processes such as evapotranspiration and rainfall interception. Several site-specific factors such as seasonal precipitation, temperature, and topographic variations cause soil and ground moisture content variations, which have significant impacts on GWC. Estimating GWC using multisource data may provide robust and accurate predictions, making it a useful tool for plant water quantification and management at various landscape scales. In this study, Sentinel-2 MSI bands, spectral derivatives combined with topographic and climatic variables, were used to estimate leaf area index (LAI), canopy storage capacity (CSC), canopy water content (CWC) and equivalent water thickness (EWT) as indicators of GWC within the communal grasslands in Vulindlela across wet and dry seasons based on single-year data. The results illustrate that the use of combined spectral and topo-climatic variables, coupled with random forest (RF) in the Google Earth Engine (GEE), improved the prediction accuracies of GWC variables across wet and dry seasons. LAI was optimally estimated in the wet season with an RMSE of 0.03 m-2 and R2 of 0.83, comparable to the dry season results, which exhibited an RMSE of 0.04 m-2 and R2 of 0.90. Similarly, CSC was estimated with high accuracy in the wet season (RMSE = 0.01 mm and R2 = 0.86) when compared to the RMSE of 0.03 mm and R 2 of 0.93 obtained in the dry season. Meanwhile, for CWC, the wet season results show an RMSE of 19.42 g/m-2 and R2 of 0.76, which were lower than the accuracy of RMSE = 1.35 g/m-2 and R 2 = 0.87 obtained in the dry season. Finally, EWT was best estimated in the dry season, yielding a model accuracy of RMSE = 2.01 g/m-2 and R2 = 0.91 as compared to the wet season (RMSE = 10.75 g/m-2 and R2 = 0.65). CSC was best optimally predicted amongst all GWC variables in both seasons. The optimal variables for estimating these GWC variables included the red-edge, near-infrared region (NIR) and short-wave infrared region (SWIR) bands and spectral derivatives, as well as environmental variables such as rainfall and temperature across both seasons. The use of multisource data improved the prediction accuracies for GWC indicators across both seasons. Such information is crucial for rangeland managers in understanding GWC variations across different seasons as well as different ecological gradients.
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