Chenzhi Wang, Xuhui Wang, Yuxing Sang, Christoph Müller, Yao Huang, Laurent Li, Diane Cooke, Quanbo Zhao, Liangliang Zhang, Yahai Lu, Feng Zhou, Hongyan Liu, Fulu Tao, Tao Lin, Shilong Piao
{"title":"来自东南亚大陆的迁徙害虫部分驱动了中国振荡导致的产量损失","authors":"Chenzhi Wang, Xuhui Wang, Yuxing Sang, Christoph Müller, Yao Huang, Laurent Li, Diane Cooke, Quanbo Zhao, Liangliang Zhang, Yahai Lu, Feng Zhou, Hongyan Liu, Fulu Tao, Tao Lin, Shilong Piao","doi":"10.1038/s43016-025-01158-3","DOIUrl":null,"url":null,"abstract":"<p>Large-scale climate oscillations are recognized as skilful predictors of variations in global and regional crop yield. However, the mechanisms linking climate oscillations to crop yield variations remain unclear and are widely assumed to result from crop physiological responses to oscillation-induced local climate variations. Here we assessed the pattern of oscillation-induced yield variations in China over the past four decades and found that El Niño/Southern Oscillation (ENSO) is the primary climatic oscillation associated with extreme yield anomalies, particularly in southern China. These ENSO-related extreme yield anomalies are driven not only by local climate anomalies but also by greater occurrences of crop pests and diseases. Interestingly, the greater occurrence of crop pests is not triggered by local climate anomalies but is linked to ENSO-forced climate anomalies in mainland Southeast Asia, the source region of these pests, fuelled by the ENSO-driven circulation pattern facilitating their migration to China. Given the projected increase in the frequency of ENSO events in a warming future, effectively mitigating such oscillation-induced crop failures requires cross-border collaboration between the source and receiving countries of crop pests.</p>","PeriodicalId":19090,"journal":{"name":"Nature Food","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Oscillation-induced yield loss in China partially driven by migratory pests from mainland Southeast Asia\",\"authors\":\"Chenzhi Wang, Xuhui Wang, Yuxing Sang, Christoph Müller, Yao Huang, Laurent Li, Diane Cooke, Quanbo Zhao, Liangliang Zhang, Yahai Lu, Feng Zhou, Hongyan Liu, Fulu Tao, Tao Lin, Shilong Piao\",\"doi\":\"10.1038/s43016-025-01158-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Large-scale climate oscillations are recognized as skilful predictors of variations in global and regional crop yield. However, the mechanisms linking climate oscillations to crop yield variations remain unclear and are widely assumed to result from crop physiological responses to oscillation-induced local climate variations. Here we assessed the pattern of oscillation-induced yield variations in China over the past four decades and found that El Niño/Southern Oscillation (ENSO) is the primary climatic oscillation associated with extreme yield anomalies, particularly in southern China. These ENSO-related extreme yield anomalies are driven not only by local climate anomalies but also by greater occurrences of crop pests and diseases. Interestingly, the greater occurrence of crop pests is not triggered by local climate anomalies but is linked to ENSO-forced climate anomalies in mainland Southeast Asia, the source region of these pests, fuelled by the ENSO-driven circulation pattern facilitating their migration to China. Given the projected increase in the frequency of ENSO events in a warming future, effectively mitigating such oscillation-induced crop failures requires cross-border collaboration between the source and receiving countries of crop pests.</p>\",\"PeriodicalId\":19090,\"journal\":{\"name\":\"Nature Food\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Food\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1038/s43016-025-01158-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Food","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43016-025-01158-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Oscillation-induced yield loss in China partially driven by migratory pests from mainland Southeast Asia
Large-scale climate oscillations are recognized as skilful predictors of variations in global and regional crop yield. However, the mechanisms linking climate oscillations to crop yield variations remain unclear and are widely assumed to result from crop physiological responses to oscillation-induced local climate variations. Here we assessed the pattern of oscillation-induced yield variations in China over the past four decades and found that El Niño/Southern Oscillation (ENSO) is the primary climatic oscillation associated with extreme yield anomalies, particularly in southern China. These ENSO-related extreme yield anomalies are driven not only by local climate anomalies but also by greater occurrences of crop pests and diseases. Interestingly, the greater occurrence of crop pests is not triggered by local climate anomalies but is linked to ENSO-forced climate anomalies in mainland Southeast Asia, the source region of these pests, fuelled by the ENSO-driven circulation pattern facilitating their migration to China. Given the projected increase in the frequency of ENSO events in a warming future, effectively mitigating such oscillation-induced crop failures requires cross-border collaboration between the source and receiving countries of crop pests.