Assessing extensive pasture-based beef production in South Africa under future climate change conditions

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Christopher Magona , Abubeker Hassen , Eyob Tesfamariam , Michael Mengistu , Carina Visser , Simon Oosting , Aart van der Linden
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Abstract

CONTEXT

Assessing the impact of climate change on extensive pasture-based beef production across varied agro-ecological regions is crucial for designing customized adaptation measures.

OBJECTIVE

This study assesses the effects of climate change on extensive pasture-based beef production systems in three South African agro-ecological regions (Bloemfontein, Phalaborwa and Buffalo Berlin) under two climate change scenarios, namely the representative concentration pathways (RCPs) 4.5 and 8.5.

METHODS

The LiGAPS-Beef model, previously calibrated for the region, was used to evaluate the impact of climate change on beef cattle production under pasture-based extensive systems. Four breed types, namely Bos taurus, Composite, Zebu indicine and Sanga cattle were included in this study. Genetic parameters for each breed were obtained from SA Stud Book, Livestock Registering Federation (LRF) and literature. Measured historical weather data was obtained from the South African Weather Service for the three agro-ecological regions. An ensemble of eight regional climate model (RCA4) simulations from the CORDEX Africa initiative was used to generate future climate change projection data for the period 2036–2065 under RCP 4.5 and RCP 8.5 scenarios. The future nutritional composition data for forage was collected from studies that simulated and predicted future forage quality under climate change conditions.

RESULTS AND CONCLUSION

The study found that the baseline average daily gain (ADG) was significantly higher (0.40 kg/head/day) than the simulated RCP 4.5 (0.21 kg/head/day, −48 %) and RCP 8.5 (0.20 kg/head/day, −51 %) ADGs regardless of breed type when both feed quality and feed quantity limited growth. Although the effect of the climate change scenarios on beef production was agro-ecological region dependent, the performance of Bos taurus declined more than other breeds under future climate scenarios while the Sanga and the Composite types were the most resilient, especially in hot climate areas. Model simulations predict that future climate change will have a greater negative impact on cattle in Buffalo Berlin and Phalaborwa, while those in Bloemfontein will be least affected. The study also highlights that under future climate change scenarios, pasture quality will be the key factor influencing cattle growth in Bloemfontein and Buffalo Berlin, while pasture quantity will be the dominant factor in Phalaborwa if stocking rates remain unchanged. The study highlights the need for nutritional and pasture management interventions for pasture-based extensive system (e.g., feed supplementation, adjusting the stocking rate to match pasture availability, identifying and integrating drought and/or heat tolerant ecotypes, fodder trees that provide shade for the animals) to mitigate the expected decline in beef cattle performance in South African agro-ecological regions.

SIGNIFICANCE

Quantifying the impact of anticipated climate change on pasture-based extensive beef production and identifying specific factors that limit beef production per breed type in the different agro-ecological regions is crucial for assessing the potential ramifications on beef production. This information empowers farmers and policy makers to develop targeted mitigation and adaptation strategies that promote resilience of the beef production system in the respective regions.

Abstract Image

评估未来气候变化条件下南非广泛的牧场牛肉生产
评估气候变化对不同农业生态区粗放型牧场牛肉生产的影响,对于设计量身定制的适应措施至关重要。本研究在代表性浓度路径(rcp) 4.5和8.5两种气候变化情景下,评估气候变化对南非三个农业生态区(Bloemfontein、Phalaborwa和Buffalo Berlin)粗放型牧场牛肉生产系统的影响。方法利用先前针对该地区校准的LiGAPS-Beef模型来评估以牧场为基础的粗放系统下气候变化对肉牛生产的影响。选取博牛、复合牛、泽布牛和桑加牛4个品种类型。各品种的遗传参数来源于SA种马手册、畜牧登记联合会(LRF)和相关文献。从南非气象局获得了三个农业生态区的实测历史天气数据。利用CORDEX非洲计划的8个区域气候模式(RCA4)模拟结果生成了RCP 4.5和RCP 8.5情景下2036-2065年的未来气候变化预估数据。通过模拟和预测气候变化条件下未来饲料质量的研究,收集了未来饲料营养成分数据。结果与结论研究发现,在饲料质量和饲料量限制生长的情况下,无论品种类型,基线平均日增重(ADG)均显著高于模拟RCP 4.5 (0.21 kg/头/天,- 48%)和RCP 8.5 (0.20 kg/头/天,- 51%)的ADG (0.40 kg/头/天)。尽管气候变化情景对牛肉生产的影响具有农业生态区依赖性,但在未来气候情景下,牛的生产性能下降幅度大于其他品种,而桑加和复合品种的抗逆性最强,特别是在炎热气候地区。模型模拟预测,未来的气候变化将对布法罗柏林和帕拉博瓦的牛产生更大的负面影响,而布隆方丹的牛受到的影响最小。该研究还强调,在未来气候变化情景下,牧场质量将是影响Bloemfontein和Buffalo Berlin牛生长的关键因素,而在放牧率保持不变的情况下,牧场数量将是Phalaborwa牛生长的主导因素。该研究强调需要对以牧场为基础的粗放系统采取营养和牧场管理干预措施(例如,饲料补充、调整放养率以适应牧场可用性、识别和整合耐旱和/或耐热生态型、为动物提供遮阳的饲料树),以缓解南非农业生态区肉牛生产性能的预期下降。量化预期气候变化对以牧场为基础的粗放型牛肉生产的影响,并确定限制不同农业生态区每个品种牛肉产量的具体因素,对于评估对牛肉生产的潜在影响至关重要。这些信息使农民和决策者能够制定有针对性的缓解和适应战略,促进各自区域牛肉生产系统的复原力。
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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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