Chen Yue, Huimin Wang, Frederick C Meinzer, Xiaoqin Dai, Shengwang Meng, Hui Shao, Liang Kou, Decai Gao, Fusheng Chen, Xiaoli Fu
{"title":"资源分割:干旱适应策略中分割假说的新维度及其与树木生长性能的关系。","authors":"Chen Yue, Huimin Wang, Frederick C Meinzer, Xiaoqin Dai, Shengwang Meng, Hui Shao, Liang Kou, Decai Gao, Fusheng Chen, Xiaoli Fu","doi":"10.1111/pce.15396","DOIUrl":null,"url":null,"abstract":"<p><p>The segmentation hypothesis, a framework for understanding plant drought adaptive strategy, has long been based on hydraulic resistance and vulnerability. Storage of water and carbohydrate resources is another critical function and shapes plant drought adaption and fitness together with hydraulic efficiency and vulnerability. However, patterns and implications of the interdependency of stored water and carbohydrate resources in the context of the segmentation hypothesis are poorly understood. We measured resource pools (relative water content [RWC] soluble sugar [SS] and starch [S]) and anatomical features of leaves and supporting twigs for 36 trees in a subtropical population during the dry season when the Budyko's aridity index was 0.362. For each tree, we rank-transformed the RWC (RWC<sub>rank</sub>), SS (SS<sub>rank</sub>), and S (S<sub>rank</sub>) and characterised the resource segmentation within organs using Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>) and Ln(RWC<sub>rank</sub>/S<sub>rank</sub>). We also assessed the resource segmentation between organs using the difference in resource pools between leaves and twigs (RWC<sub>leaf-twig</sub>, SS<sub>leaf-twig</sub>, and S<sub>leaf-twig</sub>). Resource segmentation was much more effective than the organ-level resource pool alone in predicting intraspecific variation of tree growth rates. Fast-growing individuals were mainly characterised by lower leaf Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>), higher twig Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>), and lower SS<sub>leaf-twig</sub>. The resource segmentation strategy of fast-growing individuals was associated with anatomical attributes that facilitate phloem SS loading and unloading and thus water supply upstream. Our results highlight that resource segmentation is an important dimension of plant drought adaptive strategies and enables better prediction of tree growth vigour than resource pool attributes individually.</p>","PeriodicalId":222,"journal":{"name":"Plant, Cell & Environment","volume":" ","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resource Segmentation: A New Dimension of the Segmentation Hypothesis in Drought Adaptive Strategies and Its Links to Tree Growth Performance.\",\"authors\":\"Chen Yue, Huimin Wang, Frederick C Meinzer, Xiaoqin Dai, Shengwang Meng, Hui Shao, Liang Kou, Decai Gao, Fusheng Chen, Xiaoli Fu\",\"doi\":\"10.1111/pce.15396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The segmentation hypothesis, a framework for understanding plant drought adaptive strategy, has long been based on hydraulic resistance and vulnerability. Storage of water and carbohydrate resources is another critical function and shapes plant drought adaption and fitness together with hydraulic efficiency and vulnerability. However, patterns and implications of the interdependency of stored water and carbohydrate resources in the context of the segmentation hypothesis are poorly understood. We measured resource pools (relative water content [RWC] soluble sugar [SS] and starch [S]) and anatomical features of leaves and supporting twigs for 36 trees in a subtropical population during the dry season when the Budyko's aridity index was 0.362. For each tree, we rank-transformed the RWC (RWC<sub>rank</sub>), SS (SS<sub>rank</sub>), and S (S<sub>rank</sub>) and characterised the resource segmentation within organs using Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>) and Ln(RWC<sub>rank</sub>/S<sub>rank</sub>). We also assessed the resource segmentation between organs using the difference in resource pools between leaves and twigs (RWC<sub>leaf-twig</sub>, SS<sub>leaf-twig</sub>, and S<sub>leaf-twig</sub>). Resource segmentation was much more effective than the organ-level resource pool alone in predicting intraspecific variation of tree growth rates. Fast-growing individuals were mainly characterised by lower leaf Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>), higher twig Ln(RWC<sub>rank</sub>/SS<sub>rank</sub>), and lower SS<sub>leaf-twig</sub>. The resource segmentation strategy of fast-growing individuals was associated with anatomical attributes that facilitate phloem SS loading and unloading and thus water supply upstream. Our results highlight that resource segmentation is an important dimension of plant drought adaptive strategies and enables better prediction of tree growth vigour than resource pool attributes individually.</p>\",\"PeriodicalId\":222,\"journal\":{\"name\":\"Plant, Cell & Environment\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant, Cell & Environment\",\"FirstCategoryId\":\"2\",\"ListUrlMain\":\"https://doi.org/10.1111/pce.15396\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant, Cell & Environment","FirstCategoryId":"2","ListUrlMain":"https://doi.org/10.1111/pce.15396","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Resource Segmentation: A New Dimension of the Segmentation Hypothesis in Drought Adaptive Strategies and Its Links to Tree Growth Performance.
The segmentation hypothesis, a framework for understanding plant drought adaptive strategy, has long been based on hydraulic resistance and vulnerability. Storage of water and carbohydrate resources is another critical function and shapes plant drought adaption and fitness together with hydraulic efficiency and vulnerability. However, patterns and implications of the interdependency of stored water and carbohydrate resources in the context of the segmentation hypothesis are poorly understood. We measured resource pools (relative water content [RWC] soluble sugar [SS] and starch [S]) and anatomical features of leaves and supporting twigs for 36 trees in a subtropical population during the dry season when the Budyko's aridity index was 0.362. For each tree, we rank-transformed the RWC (RWCrank), SS (SSrank), and S (Srank) and characterised the resource segmentation within organs using Ln(RWCrank/SSrank) and Ln(RWCrank/Srank). We also assessed the resource segmentation between organs using the difference in resource pools between leaves and twigs (RWCleaf-twig, SSleaf-twig, and Sleaf-twig). Resource segmentation was much more effective than the organ-level resource pool alone in predicting intraspecific variation of tree growth rates. Fast-growing individuals were mainly characterised by lower leaf Ln(RWCrank/SSrank), higher twig Ln(RWCrank/SSrank), and lower SSleaf-twig. The resource segmentation strategy of fast-growing individuals was associated with anatomical attributes that facilitate phloem SS loading and unloading and thus water supply upstream. Our results highlight that resource segmentation is an important dimension of plant drought adaptive strategies and enables better prediction of tree growth vigour than resource pool attributes individually.
期刊介绍:
Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.