{"title":"二十至二十一世纪俄罗斯粮食生产的气候驱动动态:历史研究中的统计模型综述","authors":"Nikolai Dronin, Andrey Kirilenko","doi":"10.1007/s40003-024-00719-5","DOIUrl":null,"url":null,"abstract":"<div><p>Multiple changes in centralized agricultural policies over the past 100 years have influenced crop production in Russia. The differential contributions of political and climatic factors in the performance of Russian agriculture have been widely examined in many historical and economic contexts. Besides traditional descriptive analysis statistical models proved their usefulness due to the quantitation of the role of both factors. We review the results of the statistical models of climate-driven dynamics of grain production in Russia in different historical periods. The modeling approach also proves its actuality today when Russia surprisingly emerges as a major net exporter of grain. Many experts attribute this success to a warmer climate, extending the growing season. Yet climate-yield modes are unable to fully explain this unprecedented yield increase with climate change alone. We propose that projecting climate change’s impact on yields under climate change in countries with transition economies needs to account more for the political factor in grain production.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"13 3","pages":"391 - 399"},"PeriodicalIF":1.4000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Climate-Driven Dynamics of Grain Production in Russia in XX–XXI Centuries: A Review of Statistical Models in Historical Studies\",\"authors\":\"Nikolai Dronin, Andrey Kirilenko\",\"doi\":\"10.1007/s40003-024-00719-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Multiple changes in centralized agricultural policies over the past 100 years have influenced crop production in Russia. The differential contributions of political and climatic factors in the performance of Russian agriculture have been widely examined in many historical and economic contexts. Besides traditional descriptive analysis statistical models proved their usefulness due to the quantitation of the role of both factors. We review the results of the statistical models of climate-driven dynamics of grain production in Russia in different historical periods. The modeling approach also proves its actuality today when Russia surprisingly emerges as a major net exporter of grain. Many experts attribute this success to a warmer climate, extending the growing season. Yet climate-yield modes are unable to fully explain this unprecedented yield increase with climate change alone. We propose that projecting climate change’s impact on yields under climate change in countries with transition economies needs to account more for the political factor in grain production.</p></div>\",\"PeriodicalId\":7553,\"journal\":{\"name\":\"Agricultural Research\",\"volume\":\"13 3\",\"pages\":\"391 - 399\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s40003-024-00719-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Research","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s40003-024-00719-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
Climate-Driven Dynamics of Grain Production in Russia in XX–XXI Centuries: A Review of Statistical Models in Historical Studies
Multiple changes in centralized agricultural policies over the past 100 years have influenced crop production in Russia. The differential contributions of political and climatic factors in the performance of Russian agriculture have been widely examined in many historical and economic contexts. Besides traditional descriptive analysis statistical models proved their usefulness due to the quantitation of the role of both factors. We review the results of the statistical models of climate-driven dynamics of grain production in Russia in different historical periods. The modeling approach also proves its actuality today when Russia surprisingly emerges as a major net exporter of grain. Many experts attribute this success to a warmer climate, extending the growing season. Yet climate-yield modes are unable to fully explain this unprecedented yield increase with climate change alone. We propose that projecting climate change’s impact on yields under climate change in countries with transition economies needs to account more for the political factor in grain production.
期刊介绍:
The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.