The projected implications of climate change for water and agriculture to meet diverse and competitive water demands requires smart water management solutions. Science- and evidence-based, agricultural water management (AWM) can significantly contribute to reduce unsustainable water use and help enhance water resilience and adaptation to climate change. This paper presents a brief overview of potential AWM practices focusing on enhancing water resilience, increasing yields, and wherever possible, reducing emissions. This is achieved via increased land and water use efficiency, water and energy savings, and improved water productivity with considerable scope to improve agricultural resilience. In this context, the prioritization of a location-specific portfolio of smart AWM practices to make the right investment decisions is very important. We present two distinct and complementary approaches to prioritize AWM practices in this paper: one follows stakeholder analysis to build a prioritized portfolio of climate-smart AWM practices and the other employs a simple water balance-based approach to prioritize interventions. The way forward in mainstreaming and scaling out context-specific climate-smart AWM interventions is also discussed with a focus on capacity building, water management extension services, and the mobilization of resources through the convergence of institutions and co-financing from relevant development schemes.

中文翻译：

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提高印度灌溉农业气候适应力的农业用水管理实践

气候变化对水和农业的预计影响，以满足多样化和竞争性的用水需求，需要智能水管理解决方案。以科学和证据为基础的农业用水管理 (AWM) 可以显着有助于减少不可持续的用水，并有助于增强水的复原力和对气候变化的适应。本文简要概述了潜在的 AWM 实践，重点是增强水的复原力、增加产量以及尽可能减少排放。这是通过提高土地和水资源利用效率、节约用水和能源以及提高水资源生产力以及在很大程度上提高农业复原力来实现的。在这种情况下，针对特定地点的智能 AWM 实践组合的优先级以做出正确的投资决策非常重要。在本文中，我们提出了两种不同且互补的方法来优先考虑 AWM 实践：一种遵循利益相关者分析来构建气候智能型 AWM 实践的优先组合，另一种采用基于水平衡的简单方法来优先考虑干预措施。还讨论了将特定环境的气候智能型 AWM 干预纳入主流和扩大规模的前进方向，重点是能力建设、水管理扩展服务以及通过机构融合和相关发展计划的共同融资来调动资源。一个遵循利益相关者分析，以建立气候智能型 AWM 实践的优先组合，另一个采用基于水平衡的简单方法来确定干预措施的优先级。还讨论了将特定环境的气候智能型 AWM 干预纳入主流和扩大规模的前进方向，重点是能力建设、水管理扩展服务以及通过机构融合和相关发展计划的共同融资来调动资源。一个遵循利益相关者分析，以建立气候智能型 AWM 实践的优先组合，另一个采用基于水平衡的简单方法来确定干预措施的优先级。还讨论了将特定环境的气候智能型 AWM 干预纳入主流和扩大规模的前进方向，重点是能力建设、水管理扩展服务以及通过机构融合和相关发展计划的共同融资来调动资源。