Yongping Tie, Quan Cao, Wenting Liu, Xiaoxia Yang, Quanmin Dong, Yuzhen Liu
{"title":"干旱阈值在全球范围内改变性状介导的草地生产力调节。","authors":"Yongping Tie, Quan Cao, Wenting Liu, Xiaoxia Yang, Quanmin Dong, Yuzhen Liu","doi":"10.1007/s00267-026-02639-2","DOIUrl":null,"url":null,"abstract":"<div><p>Understanding how grassland productivity responds to increasing aridity is critical under climate change, yet whether consistent thresholds exist and how underlying mechanisms shift remain unclear. Here, we conducted a global meta-analysis to examine the response of aboveground net primary productivity (ANPP) to the aridity index (AI) and the role of plant functional traits. ANPP showed a significant nonlinear relationship with AI, with a threshold at AI ≈ 0.51. Below this threshold, ANPP increased strongly with AI, whereas this relationship weakened above it. This threshold coincided with a shift in trait–productivity relationships. Before the threshold, ANPP was positively associated with traits linked to resource acquisition and conservation (LCN and SLA). After the threshold, key traits (LCN and SRL) showed reduced or reversed effects, indicating a reorganization of functional controls. Structural equation modeling further showed that the relative importance of direct climatic and trait-mediated pathways differed across the threshold. These results identify a distinct aridity threshold associated with changes in grassland productivity responses and their functional controls, emphasizing the importance of incorporating nonlinear climatic responses and trait-mediated pathways into predictions under future climate change.</p></div>","PeriodicalId":543,"journal":{"name":"Environmental Management","volume":"76 10","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Aridity Threshold Alters Trait-mediated Regulation of Grassland Productivity at a Global Scale\",\"authors\":\"Yongping Tie, Quan Cao, Wenting Liu, Xiaoxia Yang, Quanmin Dong, Yuzhen Liu\",\"doi\":\"10.1007/s00267-026-02639-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Understanding how grassland productivity responds to increasing aridity is critical under climate change, yet whether consistent thresholds exist and how underlying mechanisms shift remain unclear. Here, we conducted a global meta-analysis to examine the response of aboveground net primary productivity (ANPP) to the aridity index (AI) and the role of plant functional traits. ANPP showed a significant nonlinear relationship with AI, with a threshold at AI ≈ 0.51. Below this threshold, ANPP increased strongly with AI, whereas this relationship weakened above it. This threshold coincided with a shift in trait–productivity relationships. Before the threshold, ANPP was positively associated with traits linked to resource acquisition and conservation (LCN and SLA). After the threshold, key traits (LCN and SRL) showed reduced or reversed effects, indicating a reorganization of functional controls. Structural equation modeling further showed that the relative importance of direct climatic and trait-mediated pathways differed across the threshold. These results identify a distinct aridity threshold associated with changes in grassland productivity responses and their functional controls, emphasizing the importance of incorporating nonlinear climatic responses and trait-mediated pathways into predictions under future climate change.</p></div>\",\"PeriodicalId\":543,\"journal\":{\"name\":\"Environmental Management\",\"volume\":\"76 10\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2026-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00267-026-02639-2\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s00267-026-02639-2","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Aridity Threshold Alters Trait-mediated Regulation of Grassland Productivity at a Global Scale
Understanding how grassland productivity responds to increasing aridity is critical under climate change, yet whether consistent thresholds exist and how underlying mechanisms shift remain unclear. Here, we conducted a global meta-analysis to examine the response of aboveground net primary productivity (ANPP) to the aridity index (AI) and the role of plant functional traits. ANPP showed a significant nonlinear relationship with AI, with a threshold at AI ≈ 0.51. Below this threshold, ANPP increased strongly with AI, whereas this relationship weakened above it. This threshold coincided with a shift in trait–productivity relationships. Before the threshold, ANPP was positively associated with traits linked to resource acquisition and conservation (LCN and SLA). After the threshold, key traits (LCN and SRL) showed reduced or reversed effects, indicating a reorganization of functional controls. Structural equation modeling further showed that the relative importance of direct climatic and trait-mediated pathways differed across the threshold. These results identify a distinct aridity threshold associated with changes in grassland productivity responses and their functional controls, emphasizing the importance of incorporating nonlinear climatic responses and trait-mediated pathways into predictions under future climate change.
期刊介绍:
Environmental Management offers research and opinions on use and conservation of natural resources, protection of habitats and control of hazards, spanning the field of environmental management without regard to traditional disciplinary boundaries. The journal aims to improve communication, making ideas and results from any field available to practitioners from other backgrounds. Contributions are drawn from biology, botany, chemistry, climatology, ecology, ecological economics, environmental engineering, fisheries, environmental law, forest sciences, geosciences, information science, public affairs, public health, toxicology, zoology and more.
As the principal user of nature, humanity is responsible for ensuring that its environmental impacts are benign rather than catastrophic. Environmental Management presents the work of academic researchers and professionals outside universities, including those in business, government, research establishments, and public interest groups, presenting a wide spectrum of viewpoints and approaches.