畜牧场气候灾害复原力评估:应用于法国中部马西夫地区的有机反刍动物农场

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-10-18 DOI:10.1016/j.agsy.2024.104150
Patrick Veysset , Célia Boivent
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引用次数: 0

摘要

背景气候变化和日益频繁的气候扰动会对草原地区有机农场的管理和绩效产生严重影响。这项工作的目的是提出一种指标和新方法来评估有机认证牛羊养殖场对气候灾害的适应能力,客观分析观测到的气候灾害对农业实践的影响,并确定这种适应能力的主要决定因素。方法 我们使用了 2014 年至 2020 年间监测的中央丘陵区(法国中部山区)36 个专业牛羊有机农场的技术和经济数据以及气象数据。农场的总增加值被用作复原力的替代指标。我们使用偏最小二乘法(PLS)路径模型分析农业气候指标、耕作方式和总增加值之间的关系,然后进行分层聚类,构建出具有不同抗逆能力的农场类型。秋季放牧和收割牧草的良好天气条件对饲草产量、饲料购买量和贮存饲草消耗量的变化有负面影响。不利于作物产量的天气条件对贮存饲草和/或放牧草的消耗量有积极影响。饲喂策略受到农场贮藏饲草产量和农场外饲料购买量的影响。利用晴好天气种草的农场主在不增加产量的情况下最大限度地放牧,能够保持农场的总附加值。在天气条件不利于牧草生产的年份,提高总附加值的策略是最大限度地提高牧群产量,即使这意味着增加饲草储备和饲料采购。目前缺乏观察研究,也缺乏调查和评估畜牧系统气候适应能力的方法和指标。本研究采用了一种新颖的原创方法,通过将畜牧场的技术经济数据与气象站的气象数据相结合来弥补这一不足。
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Climatic hazard resilience assessment on livestock farms: Application to organic ruminant farms in the French Massif Central

CONTEXT

Climate change and increasing frequency of climatic perturbations could have acute impacts on the management and performances of organic farms in grassland areas. Resilience provides a framework for analyzing livestock systems in this context.

OBJECTIVE

The aim of this work was to propose an indicator and a novel approach to assess the resilience of organic-certified cattle and sheep farms to climatic hazards, objectivize the impacts of observed climatic hazards on agricultural practices, and define the main determinants of this resilience.

METHODS

We used technical, and economic data from 36 specialized cattle and sheep organic farms in the Massif Central (a mountain area in the centre of France) monitored between 2014 and 2020 together with meteorological data. Gross value added of the farms was used as a proxy of resilience. We used partial least squares (PLS) path modeling to analyze relationships between agroclimatic indicators, farming practices and gross value added, and then hierarchical clustering to construct a typology of farms with different levels of resilience.

RESULTS AND CONCLUSION

The gross value added of the studied farms was strongly positively linked to herd output and negatively linked to feed purchased. Good weather conditions for autumn grazing and grass harvesting had a negative impact on variation in forage production, feed purchases and consumption of preserved forage. Bad weather conditions for crop yields had a positive impact on consumption of preserved forage and/or grazed grass. The feeding strategies were influenced by the on-farm production of preserved forage and by off-farm feed purchases. Farmers who took advantage of good weather conditions for grass by maximizing grazing without increasing production were able to maintain the gross value added of their farm. A strategy to increase the gross value added in years where weather conditions are unfavourable to grass production was to maximize herd output even if it meant increasing forage stocks and feed purchases.

SIGNIFICANCE

Adapting livestock production systems to climate change is a major ongoing challenge for livestock sustainability. There is a dearth of observational studies and a lack of methods and indicators for investigating and assessing the climate resilience of livestock systems. This study adopted a novel original approach to address this gap by pairing technical-economic data from livestock farms with meteorological data from weather stations.
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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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