Sustainable crop intensification through surface water irrigation in Bangladesh? A geospatial assessment of landscape-scale production potential

Krupnik, Timothy J.; Schulthess, Urs; Ahmed, Zia; McDonald, Andrew J.

doi:10.1016/j.landusepol.2016.10.001

Cited by 87 publications

(107 citation statements)

References 29 publications

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“…The increasing availability of high-resolution remote sensing and georeferenced environmental data has also enabled new methods to assess the biophysical appropriateness of development interventions intended to increase farm production intensity (cf. Schulthess et al, 2015 , Krupnik et al, 2017 ). Combining such analyses with consideration of socio-ecological variables as demonstrated in our study represents an important avenue for future research.…”

Section: Discussionmentioning

confidence: 99%

Climate smart agriculture, farm household typologies and food security

López-Ridaura

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Wijk

et al. 2018

Agricultural Systems

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137

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One of the great challenges in agricultural development and sustainable intensification is the assurance of social equity in food security oriented interventions. Development practitioners, researchers, and policy makers alike could benefit from prior insight into what interventions or environmental shocks might differentially affect farmers' food security status, in order to move towards more informed and equitable development. We examined the food security status and livelihood activities of 269 smallholder farm households (HHs) in Bihar, India. Proceeding with a four-step analysis, we first applied a multivariate statistical methodology to differentiate five primary farming system types. We next applied an indicator of food security in the form of HH potential food availability (PFA), and examined the contribution of crop, livestock, and on- and off-farm income generation to PFA within each farm HH type. Lastly, we applied scenario analysis to examine the potential impact of the adoption of ‘climate smart’ agricultural (CSA) practices in the form of conservation agriculture (CA) and improved livestock husbandry, and environmental shocks on HH PFA. Our results indicate that compared to livestock interventions, CA may hold considerable potential to boost HH PFA, though primarily for wealthier and medium-scale cereal farmers. These farm HH types were however considerably more vulnerable to food insecurity risks resulting from simulated drought, while part-time farmers and resource-poor agricultural laborers generating income from off-farm pursuits were comparatively less vulnerable, due in part to their more diversified income sources and potential to migrate in search of work. Our results underscore the importance of prior planning for development initiatives aimed at increasing smallholder food security while maintaining social equity, while providing a robust methodology to vet the implications of agricultural interventions on an ex ante basis.

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Section: Discussionmentioning

confidence: 99%

Climate smart agriculture, farm household typologies and food security

López-Ridaura

Frelat

Wijk

et al. 2018

Agricultural Systems

Self Cite

137

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“…Due to the location of several rivers, Bangladesh is abundant with SWBs [16]. However, the rapid growth of population, urbanization, and other sustainable human activities have caused the gradual decline of SWBs in Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

Influence of Surface Water Bodies on the Land Surface Temperature of Bangladesh

et al. 2019

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Recent climate change has resulted in the reduction of several surface water bodies (SWBs) all around the globe. These SWBs, such as streams, rivers, lakes, wetlands, reservoirs, and creeks have a positive impact on the cooling of the surrounding climate and, therefore, reduction in SWBs can contribute to the rise of land surface temperature (LST). This study presents the impact of SWBs on the LST across Bangladesh to quantify their roles in the rapid temperature rise of Bangladesh. The moderate resolution imaging spectroradiometer (MODIS) LST and water mask data of Bangladesh for the period 2000–2015 are used for this purpose. Influences of topography and geography on LST were first removed, and then regression analysis was conducted to quantify the impact of SWBs on the LST. The non-parametric Mann–Kendall (MK) test was used to assess the changes in LST and SWBs. The results revealed that SWBs were reduced from 11,379 km2 in 2000 to 9657 km2 in 2015. The trend analysis showed that changes in SWBs have reduced significantly at a 90% level of confidence, which contributed to the acceleration of LST rise in the country due to global warming. The spatial analysis during the specific years showed that an increase in LST can be seen with the reduction of SWBs. Furthermore, the reduction of 100 m2 of SWBs can reduce the LST of the surrounding regions from −1.2 to −2.2 °C.

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“…In Bangladesh's southern delta, farmers mostly grow grass pea (Lathyrus sativus L.) and mungbean (Vigna radiata L.) during the Rabi (dry) season (December-April) [271]. These crops are generally not irrigated, instead drawing on residual soil moisture and the fact that the water table is close to the surface, fluctuating between 1-2.5 m depth in the dry season [272].…”

Section: Case Study: Irrigation Scheduling In Bangladesh's Ganges Delmentioning

confidence: 99%

Role of Modelling in International Crop Research: Overview and Some Case Studies

et al. 2018

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Crop modelling has the potential to contribute to global food and nutrition security. This paper briefly examines the history of crop modelling by international crop research centres of the CGIAR (formerly Consultative Group on International Agricultural Research but now known simply as CGIAR), whose primary focus is on less developed countries. Basic principles of crop modelling building up to a Genotype × Environment × Management × Socioeconomic (G × E × M × S) paradigm, are explained. Modelling has contributed to better understanding of crop performance and yield gaps, better prediction of pest and insect outbreaks, and improving the efficiency of crop management including irrigation systems and optimization of planting dates. New developments include, for example, use of remote sensed data and mobile phone technology linked to crop management decision support models, data sharing in the new era of big data, and the use of genomic selection and crop simulation models linked to environmental data to help make crop breeding decisions. Socio-economic applications include foresight analysis of agricultural systems under global change scenarios, and the consequences of potential food system shocks are also described. These approaches are discussed in this paper which also calls for closer collaboration among disciplines in order to better serve the crop research and development communities by providing model based recommendations ranging from policy development at the level of governmental agencies to direct crop management support for resource poor farmers.

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Sustainable crop intensification through surface water irrigation in Bangladesh? A geospatial assessment of landscape-scale production potential

Abstract: Graphical abstract

Cited by 87 publications

References 29 publications

Climate smart agriculture, farm household typologies and food security

Climate smart agriculture, farm household typologies and food security

Influence of Surface Water Bodies on the Land Surface Temperature of Bangladesh

Role of Modelling in International Crop Research: Overview and Some Case Studies

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