Managing water in rainfed agriculture in the Greater Mekong Subregion

Johnston, Robyn; Hoanh, Chu Thai; Lacombe, Guillaume; Lefroy, R. D. B.; Pavelic, Paul; Fry, Carolyn

doi:10.5337/2012.201

Cited by 10 publications

(6 citation statements)

References 39 publications

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“…This is erroneous when viewed against the abundant presence of irrigation infrastructure. However, there is a blurred line between rainfed and irrigated agriculture in the region, as the wet-season is likely rainfed in both classes, with water coming from rainfall or recession of seasonal floods [57]. The main Remote Sens.…”

Section: Land Use/land Covermentioning

confidence: 99%

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

et al. 2016

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With changes in weather patterns and intensifying anthropogenic water use, there is an increasing need for spatio-temporal information on water fluxes and stocks in river basins. The assortment of satellite-derived open-access information sources on rainfall (P) and land use/land cover (LULC) is currently being expanded with the application of actual evapotranspiration (ET act ) algorithms on the global scale. We demonstrate how global remotely sensed P and ET act datasets can be merged to examine hydrological processes such as storage changes and streamflow prior to applying a numerical simulation model. The study area is the Red River Basin in China in Vietnam, a generally challenging basin for remotely sensed information due to frequent cloud cover. Over this region, several satellite-based P and ET act products are compared, and performance is evaluated using rain gauge records and longer-term averaged streamflow. A method is presented for fusing multiple satellite-derived ET act estimates to generate an ensemble product that may be less susceptible, on a global basis, to errors in individual modeling approaches. Subsequently, monthly satellite-derived rainfall and ET act are combined to assess the water balance for individual subcatchments and types of land use, defined using a global land use classification improved based on auxiliary satellite data. It was found that a combination of TRMM rainfall and the ensemble ET act product is consistent with streamflow records in both space and time. It is concluded that monthly storage changes, multi-annual streamflow and water yield per LULC type in the Red River Basin can be successfully assessed based on currently available global satellite-derived products.

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Section: Land Use/land Covermentioning

confidence: 99%

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

et al. 2016

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“…Upgrading these systems has the potential to increase resilience to future increases in climatic variability, and promises large social, economic and environmental paybacks in terms of reducing poverty and boosting economic development. A study, commissioned by the Swedish International Development Cooperation Agency (Sida), and undertaken by the International Water Management Institute investigated opportunities for improving production in rainfed agriculture in the GMS through small‐scale water management interventions (Johnston et al ). The study analyzed the agro‐ecosystems and current patterns of production in the GMS, the impacts of climate on production (using current and projected future climate data), the suitability of crops under different conditions, and the current versus potential yield.…”

Section: The Greater Mekong Subregionmentioning

confidence: 99%

“…Growing paddy rice requires water management to maintain inundated conditions even if the water used mainly comes from rainfall or from the recession of seasonal floods. On average, more than half of crop water requirements for irrigated crops in GMS come from rainfall (Johnston et al ). Crop production statistics do not distinguish whether the crop is irrigated and dry season figures include a large component of rainfed production.…”

Section: The Greater Mekong Subregionmentioning

confidence: 99%

Determining the Dynamics of Agricultural Water Use: Cases from Asia and Africa

Rebelo

Johnston

Karimi

et al. 2014

Contemporary Water Research

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Across Africa and Asia water resources are being affected by a complex mixture of social, economic, and environmental factors. These include climate change and population growth, food prices, oil prices, financial disruptions, and political fluctuations. The need to produce more food will have one of the largest impacts on water and will continue to re-shape the patterns of agricultural water use in major food-growing regions.With this increasing demand on water for agriculture, from large-scale irrigation to intensification of rainfed systems, it is becoming increasingly important to ensure that water resources decision-making has access to information that captures the spectrum of water uses, across seasons, and over time. Furthermore, the major sectors that place demands on water and otherwise affect the resource need water-related information to inform their decisions. In this paper we consider two cases where the range of agricultural water management uses have been examined. We examine the methodologies and approaches used, the utility of this information to decision-making in the water and agricultural sectors, and the limitations of the information gathered.

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“…The results show substantial increases in mean and extreme precipitation in many parts of SEA by the end of the 21st century under both emission scenarios, thus increasing the region's vulnerability to precipitationdriven hazards. As a substantial part of agriculture in SEA is rainfed (e.g., Johnston et al, 2012), any future changes in precipitation structure may have an impact on agricultural productivity (e.g., Masutomi et al, 2009;Chun et al, 2016) and the economy of the region. The projected changes in extreme precipitation are stronger compared to the total annual precipitation under both emission scenarios.…”

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confidence: 99%

“…Moreover, agricultural area covers about 30% of SEA's land area (Food and Agricultural Organization, 2017) and is an important contributor to the region's economy (e.g., 27% of Cambodia's GDP; World Bank, 2017). As a substantial part of agriculture in SEA is rainfed (e.g., Johnston et al, 2012), any future changes in precipitation structure may have an impact on agricultural productivity (e.g., Masutomi et al, 2009;Chun et al, 2016) and the economy of the region. Therefore, understanding the nature of changes in precipitation structure is of major importance for developing climate resilient water management programs in the region.…”

mentioning

confidence: 99%

Assessment of future changes in Southeast Asian precipitation using the NASA Earth Exchange Global Daily Downscaled Projections data set

Mandapaka

2018

Intl Journal of Climatology

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Extreme precipitation and associated flooding cause severe damage to society and the environment. Future climate projections suggest an intensification of precipitation extremes in many regions. However, there is an increasing need for climate change impact assessment at higher spatial resolution, particularly for regions with complex geography such as Southeast Asia (SEA). In this study, we analysed the NASA Earth Exchange 0.25° resolution daily precipitation projections from an ensemble of 20 climate models under two emission scenarios RCP4.5 and RCP8.5. The variability in future precipitation projections is analysed and quantified for six geographical subregions, two climatological regions (wet and dry), and the low‐elevation coastal zones in SEA. Various aspects of precipitation structure are studied using indices that characterize precipitation amount, number of heavy precipitation days, extreme precipitation amount, and maximum daily precipitation at annual and seasonal scales. The results show substantial increases in mean and extreme precipitation in many parts of SEA by the end of the 21st century under both emission scenarios, thus increasing the region's vulnerability to precipitation‐driven hazards. The projected centennial increase in total annual precipitation relative to the baseline period of 1970–1999 when averaged over all land grid cells is about 15% under RCP8.5 scenario, with larger values (∼20%) over mainland SEA and Philippines and smaller values (∼6%) in Java island. The projected changes in extreme precipitation are stronger compared to the total annual precipitation under both emission scenarios. The New Guinea and Java regions show the largest and smallest increases in annual maximum daily precipitation, with ensemble mean values of 30 and 17%, respectively, under RCP8.5 scenario. The results also reveal large inter‐model spread in projected changes, particularly during boreal winter and summer months.

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Managing water in rainfed agriculture in the Greater Mekong Subregion

Cited by 10 publications

References 39 publications

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

Determining the Dynamics of Agricultural Water Use: Cases from Asia and Africa

Assessment of future changes in Southeast Asian precipitation using the NASA Earth Exchange Global Daily Downscaled Projections data set

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