{"title":"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","authors":"Patrick Veysset , Célia Boivent","doi":"10.1016/j.agsy.2024.104150","DOIUrl":null,"url":null,"abstract":"<div><h3>CONTEXT</h3><div>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.</div></div><div><h3>OBJECTIVE</h3><div>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.</div></div><div><h3>METHODS</h3><div>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.</div></div><div><h3>RESULTS AND CONCLUSION</h3><div>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.</div></div><div><h3>SIGNIFICANCE</h3><div>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.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"222 ","pages":"Article 104150"},"PeriodicalIF":6.1000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Climatic hazard resilience assessment on livestock farms: Application to organic ruminant farms in the French Massif Central\",\"authors\":\"Patrick Veysset , Célia Boivent\",\"doi\":\"10.1016/j.agsy.2024.104150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>CONTEXT</h3><div>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.</div></div><div><h3>OBJECTIVE</h3><div>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.</div></div><div><h3>METHODS</h3><div>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.</div></div><div><h3>RESULTS AND CONCLUSION</h3><div>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.</div></div><div><h3>SIGNIFICANCE</h3><div>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.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"222 \",\"pages\":\"Article 104150\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X24003007\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X24003007","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.