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System-wide nexus analyses: water distribution rules, agricultural productivity and livelihoods in flood-based livelihood systems

Published online by Cambridge University Press:  13 March 2023

Mara Zenebe*
Affiliation:
Soil Physics and Land Management (SLM) Group, Wageningen University and Research (WUR), Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Luuk Fleskens
Affiliation:
Soil Physics and Land Management (SLM) Group, Wageningen University and Research (WUR), Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Karim Newaz
Affiliation:
Pakistan Country Coordinator at MetaMeta Research, Wageningen, the Netherlands
Coen Ritsema
Affiliation:
Soil Physics and Land Management (SLM) Group, Wageningen University and Research (WUR), Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
*
Author for correspondence: Mara Zenebe, E-mail: mara.zenebe@wur.nl
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Abstract

Water management and distribution rules in flood-based livelihood systems (FBLS) have a key role in enhancing system-wide productivity and livelihoods. While such potential has to a certain extent been harnessed in DG Khan FBLS in Pakistan, it has not yet been fulfilled in the Tana River and Fogera FBLS in Kenya and Ethiopia, respectively. These three systems are considered among the major sources of water and food security in their respective regions by the local governments and communities. Drawing from 105 individual interviews with Pakistani FBLS farmers, the paper establishes that a package of water management and distribution rules have significantly contributed to (a) mitigating excessive upstream floodwater use, (b) reducing downstream water scarcity and (c) realizing nearly 4 tons ha−1 harvest of the major wheat crop across the upstream and downstream areas. This yield is about 20% higher than the country-wide average, and two-third of the maximum achievable. Furthermore, 86% of the upstream and three in four of the downstream farmers have managed to cover their livelihood needs that included health, school, housing, transportation, energy and food expenses. On the other hand, the analyses based on individual interviews with 94 and 147 FBLS farmers from Kenya and Ethiopia respectively, uncovered the negative consequences of the absence of a comprehensive package of water management and distribution rules. In Kenya, the downstream small-scale farmers that account for two-third of the Tana River FBLS population frequently suffer from floodwater scarcity. They could not cultivate the high return rice crop and their staple maize yield was low at about 1.25 tons ha−1 or 20% of the maximum attainable. Four in five reported poor livelihoods. The upstream large-scale farmers however often diverted excessive floodwater; over 90% usually grow rice as well as maize as a second crop for home consumption. The situation in Fogera is similar. The water distribution rules prioritized the upstream rice cultivation introduced a decade back to boost economic growth. This, as informed by 95% of the interviewed farmers, has caused downstream floodwater scarcity, about 30% maize yield reduction and livelihood deterioration. These findings on the impacts of water distribution rules can contribute to formulating investments that better achieve the productivity and livelihood potentials of FBLS across Africa and globally.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press
Figure 0

Table 1. Key characteristics of the three case studies

Figure 1

Fig. 1. Location maps of the three case studies: Tana River, Fogera and DG Khan FBLS in Kenya, Ethiopia and Pakistan, respectively.

Figure 2

Table 2. Breakdown of individually interviewed Fogera floodplain and Tana River farmers

Figure 3

Table 3. Key water distribution rules in DG Khan FBLS in Pakistan described during the FGDs and confirmed to be operational by all individually interviewed farmers

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Fig. 2. Perceived responsibility per farmer group about the institutional responsibility for managing floodwater distribution in DG Khan spate irrigation system in Pakistan.Source: Individual interviews.

Figure 5

Fig. 3. Level of engagement of the Tana River flood-dependent farmers in irrigation committees. Usually, the committees convene four times annually.Source: Individual interviews.

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Fig. 4. Comparative assessment of floodwater scarcity experienced by Pakistani and Kenyan farmers in the past 5 flood season years when floodwater has not been physically limiting.Source: Interview data.

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Fig. 5. Comparison of system-wide (upstream to downstream) flood irrigated areas in the DG Khan spate irrigation scheme in Pakistan. The data were gathered in 2021 and according to the interviewed farmers the irrigated area values are representative of the situation in the most frequent average flood season that occurs in 4 out of 5 yr.Source: Individual interviews.

Figure 8

Fig. 6. Boxplot of the system-wide (upstream to downstream) productivity of the major crops in DG Khan spate irrigation system. The median, the line cutting across the box, is the center value of the database. The lower and upper edges of the box display the yields higher than a quarter and three quarters of the dataset while the highest and lowest data-points of the whiskers (lines) represent the maximum and minimum yields respectively.Source: Interview data.

Figure 9

Fig. 7. Boxplot of the system-wide (upstream to downstream) productivity of the major crops under Tana River flood inundation system. The median, the line dividing the box, is the midpoint value of the yield dataset. The lower and upper margins of the box represent the yields higher than 25 and 75% of the dataset. The top and bottom values of the whiskers are the maximum and minimum yields.Source: Interview data.

Figure 10

Fig. 8. Boxplot of system-wide (upstream to downstream) productivity of the Fogera floodplain major crops under the traditional (pre-rice era) and the modified (post-rice period) water distribution rule. The median, the line dissecting the box, divides the yield dataset into two equal parts. The lower and upper edges of the box display the yields greater than 25 and 75% of the dataset while the whiskers indicate the minimum and maximum yields respectively.Source: Interview data.

Figure 11

Fig. 9. Boxplot of DG Khan farmers’ household expenses and incomes analyses. The median (the line cutting across the box) represents the midpoint value of the dataset. The lower and upper boundaries of the box display the expenses and incomes greater than 25 and 75% of the dataset. The lowest and highest whiskers (lines) are the minimum and maximum expenses and incomes respectively.Source: Interview data.

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Fig. 10. Ethiopian Fogera farmers’ perspectives on the livelihood impact of the modification of the traditional upstream rule following the introduction of rice and the priority interventions that could improve their living standards.Source: Interview data.

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Fig. 11. Tana River, Kenya farmers’ views on their current livelihood status and the priority interventions that could improve their living standards.Source: Interview data.