Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Mariem Baccar , Hélène Raynal , Muddu Sekhar , Jacques-Eric Bergez , Magali Willaume , Pierre Casel , P. Giriraj , Sanjeeva Murthy , Laurent Ruiz
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引用次数: 0

Abstract

CONTEXT

Changing cropping pattern is a potentially effective lever to cope with unreliable water resources, but given the multiple factors driving crop choices, assessing if farmers actually use it specifically for this objective remains difficult.

OBJECTIVE

We aimed at analyzing whether and how farmers choose crop categories with different water requirements to cope with limited water resources in peninsular India.

METHODS

We monitored over a 10 year period crop choices, weather, and groundwater level for the three cropping seasons in 205 irrigable farms in the Berambadi watershed, in southern India. We categorized crops according to their seasonal water requirement. We built farm types based of Sequence Analysis and Agglomerative Hierarchical Clustering of crop category sequences over 10 years for each cropping season. For each type, we correlated the variation in crop category choices to variations in rainfall and groundwater availability, to identify tactical adaptations. Finally, we grouped the crop category choices of the three seasons to identify the main strategic pathways followed by farmers.

RESULTS AND CONCLUSIONS

Sequence analysis of crop category choices revealed different types of crop category sequences, reflecting farmers' different strategies, which were not significantly linked with groundwater availability. We identified five main pathways across the three cropping seasons, including combining long-cycle irrigated crop and other crop categories, specializing in short-cycle irrigated crops over two or three seasons, specializing in rainfed crops or abandoning agriculture. Within each type, correlations between variation in water availability and crop categories highlighted specific tactical adaptations.

SIGNIFICANCE

The opportunity for farmers to choose their crops among a variety of species encompassing a large range of water requirements allows them to base their system resilience on a large diversity of strategies and tactics. This suggests that some farmers empirically estimate the water balance of their cropping systems at seasonal scale to take tactical decisions. Providing them with science-based tools to refine this estimation could therefore improve their decision-making. This also implies that modelling farmer decisions must account for their diversity. Maintaining or increasing the capacity of farmers to cultivate a broad range of crops with different seasonal water requirements is important for farming system resilience, and should therefore be part of the agenda of policy makers for agricultural or environmental regulations.

Abstract Image

作物种类选择的动态揭示了印度小农应对不可靠的水资源供应的战略和策略
改变种植模式是应对不可靠水资源的潜在有效手段,但考虑到推动作物选择的多种因素,评估农民是否真的专门为此目的使用种植模式仍然很困难。目的我们旨在分析农民是否以及如何选择具有不同需水量的作物类别,以应对印度半岛有限的水资源。方法我们对印度南部Berambadi流域205个可灌溉农场的三个种植季节的作物选择、天气和地下水位进行了为期10年的监测。我们根据季节性需水量对作物进行了分类。我们建立了基于序列分析和10年来每个种植季节作物类别序列的聚集层次聚类的农场类型。对于每种类型,我们将作物类别选择的变化与降雨量和地下水可用性的变化相关联,以确定战术适应。最后,我们对三个季节的作物类别选择进行了分组,以确定农民遵循的主要战略途径。结果与结论作物类别选择的序列分析揭示了不同类型的作物类别序列,反映了农民的不同策略,这些策略与地下水可用性没有显著联系。我们确定了三个种植季节的五条主要途径,包括将长周期灌溉作物和其他作物类别相结合,专门从事两到三个季节的短周期灌溉作物,专门从事雨养作物或放弃农业。在每种类型中,水资源可用性变化和作物类别之间的相关性突出了特定的战术适应。重要意义农民有机会在各种各样的物种中选择他们的作物,包括各种各样的用水需求,这使他们能够将系统的恢复力建立在多种多样的战略和战术之上。这表明,一些农民在季节尺度上凭经验估计其种植系统的水平衡,以做出战术决策。因此,为他们提供基于科学的工具来完善这一估计可以改善他们的决策。这也意味着,对农民决策进行建模必须考虑到他们的多样性。保持或提高农民种植各种季节性需水量作物的能力对农业系统的恢复力很重要,因此应成为农业或环境法规决策者议程的一部分。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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