Toward compatibility with national dairy production and climate goals through locally appropriate mitigation interventions in Kenya

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Michael W. Graham , Şeyda Özkan , Claudia Arndt , Ricardo González-Quintero , Daniel Korir , Lutz Merbold , Anne Mottet , Phyllis W. Ndung'u , An Notenbaert , Sonja M. Leitner
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引用次数: 0

Abstract

CONTEXT

Livestock are an important component of livelihoods in smallholder dairy systems in Africa, but are characterized by low animal productivity and large environmental impacts per unit of animal product (e.g. greenhouse gas emissions (GHG) intensities). Governments in African countries have set ambitious targets for dairy systems, but development of climate-smart strategies has been hindered by a scarcity of baseline data and local intervention trials.

OBJECTIVE

We use a rich dataset from smallholder mixed dairy systems in Kenya to determine whether national climate and development goals for 2030 can be met using locally appropriate interventions. Interventions considered included improved herd management and feed interventions.

METHODS

We conducted a yield gap analysis to determine the scope of the existing milk yield gaps, then evaluated the extent to which yield gaps could be closed using interventions in a second step. We outscaled our results to the national level to determine the potential impact of adopting our interventions on national dairy production and GHG emission goals using the FAO Global Livestock Environmental Assessment Model – interactive (GLEAM-i) tool.

RESULTS AND CONCLUSIONS

Our analysis showed that substantial yield gaps exist in Kenyan dairy systems (39 to 49% of attainable yields). These gaps could be closed by intervention packages but not by individual interventions alone. Our outscaled scenarios showed interventions can reduce milk GHG emission intensities (−6.5 to −27.4%), while absolute emissions would increase in most scenarios (−3.9 to +25.9%). To meet national milk production goals, we estimated that a large increase in animal numbers is needed by 2030 compared to 2010 (from ∼2.7 M to 4.5–7.1 M heads of cattle). However, most scenarios fell short of the emissions target (−4% to +48%) by 2030. It may be possible to narrowly meet Kenyan national milk production and GHG emission goals by 2030.

SIGNIFICANCE

National goals for milk production and reducing GHG emissions were only marginally compatible in Kenya. Other sectors of the economy will need to reduce emissions to ensure that food and nutrition security objectives are not jeopardized. In order to achieve national milk goals, there will be need to be a consummate increase in animal numbers even with the adoption of multiple interventions. To meet Kenya's national emissions goals, widespread adoption of several locally appropriate interventions will be required. International support will be needed to meet Kenya's conditional Nationally Determined Contributions under the 2015 Paris Agreement, as well as food and nutrition security goals.

Abstract Image

通过在肯尼亚采取适合当地情况的缓解措施,努力实现国家乳制品生产与气候目标相一致
背景牲畜是非洲小农乳品系统生计的重要组成部分,但其特点是动物生产率低、单位动物产品对环境影响大(如温室气体排放强度)。非洲国家的政府已为奶业系统制定了雄心勃勃的目标,但由于缺乏基线数据和当地干预试验,气候智能战略的制定一直受到阻碍。目标我们利用肯尼亚小农混合奶业系统的丰富数据集,确定是否可以利用适合当地的干预措施来实现 2030 年的国家气候和发展目标。我们进行了产量差距分析,以确定现有牛奶产量差距的范围,然后在第二步中评估了利用干预措施缩小产量差距的程度。我们将结果扩大到国家层面,利用粮农组织全球畜牧环境评估模型--互动式(GLEAM-i)工具确定采用我们的干预措施对国家奶业生产和温室气体排放目标的潜在影响。这些差距可以通过一揽子干预措施来弥补,但不能仅靠单个干预措施。我们的外标方案显示,干预措施可降低牛奶的温室气体排放强度(-6.5%至-27.4%),而在大多数方案中,绝对排放量会增加(-3.9%至+25.9%)。为了实现国家牛奶生产目标,我们估计到 2030 年,牲畜数量需要比 2010 年大幅增加(从 ∼ 270 万头牛增加到 450-710 万头牛)。然而,大多数方案到 2030 年都达不到排放目标(-4% 至 +48%)。到 2030 年,肯尼亚有可能勉强实现国家牛奶生产和温室气体排放目标。其他经济部门需要减少排放,以确保粮食和营养安全目标不受影响。为了实现国家牛奶目标,即使采取多种干预措施,动物数量也需要有一个彻底的增长。为了实现肯尼亚的国家排放目标,需要广泛采用几种适合当地的干预措施。要实现肯尼亚在 2015 年《巴黎协定》下有条件的国家确定贡献以及粮食和营养安全目标,将需要国际支持。
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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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