Zilong Cui , Yuan Zhang , Anzhi Wang , Wenli Fei , Lidu Shen , Jiabing Wu
{"title":"生理对森林蒸腾变化和趋势的影响大于物候","authors":"Zilong Cui , Yuan Zhang , Anzhi Wang , Wenli Fei , Lidu Shen , Jiabing Wu","doi":"10.1016/j.jhydrol.2025.133641","DOIUrl":null,"url":null,"abstract":"<div><div>Forest transpiration (T) exhibits significant temporal and spatial patterns. A deeper understanding of this variability is necessary to more accurately predict future climate-carbon–water cycle feedbacks. Variations in T are driven by a wide range of biological and abiotic factors, primarily through changes in vegetation phenology and physiological processes. However, it is unclear that how plant phenology and physiology can be combined to explain forest T and the spatial–temporal variability of its trends. In this paper, annual forest T was decomposed into length of water loss period (WLP) and seasonal maximum transpiration (<em>T</em><sub>max</sub>). The product of WLP and <em>T</em><sub>max</sub> explained the spatial–temporal variation of most forests in North America and Eurasia from 2002 to 2021. Further analysis revealed that the interannual variation of <em>T</em><sub>max</sub> explains the interannual variation of T better than that of WLP. It was also found that the trend of <em>T</em><sub>max</sub> can affect the trend of forest T more than the trend of WLP. These results suggest that forest T is jointly controlled by ecosystem-level forest phenology and transpiration, and a deeper understanding of how <em>T</em><sub>max</sub> and WLP respond to environmental and biological changes will enhance the accuracy of spatial–temporal predictions of T.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"661 ","pages":"Article 133641"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Physiology dominates over phenology in influencing variation and trends of forest transpiration\",\"authors\":\"Zilong Cui , Yuan Zhang , Anzhi Wang , Wenli Fei , Lidu Shen , Jiabing Wu\",\"doi\":\"10.1016/j.jhydrol.2025.133641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Forest transpiration (T) exhibits significant temporal and spatial patterns. A deeper understanding of this variability is necessary to more accurately predict future climate-carbon–water cycle feedbacks. Variations in T are driven by a wide range of biological and abiotic factors, primarily through changes in vegetation phenology and physiological processes. However, it is unclear that how plant phenology and physiology can be combined to explain forest T and the spatial–temporal variability of its trends. In this paper, annual forest T was decomposed into length of water loss period (WLP) and seasonal maximum transpiration (<em>T</em><sub>max</sub>). The product of WLP and <em>T</em><sub>max</sub> explained the spatial–temporal variation of most forests in North America and Eurasia from 2002 to 2021. Further analysis revealed that the interannual variation of <em>T</em><sub>max</sub> explains the interannual variation of T better than that of WLP. It was also found that the trend of <em>T</em><sub>max</sub> can affect the trend of forest T more than the trend of WLP. These results suggest that forest T is jointly controlled by ecosystem-level forest phenology and transpiration, and a deeper understanding of how <em>T</em><sub>max</sub> and WLP respond to environmental and biological changes will enhance the accuracy of spatial–temporal predictions of T.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"661 \",\"pages\":\"Article 133641\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169425009795\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425009795","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Physiology dominates over phenology in influencing variation and trends of forest transpiration
Forest transpiration (T) exhibits significant temporal and spatial patterns. A deeper understanding of this variability is necessary to more accurately predict future climate-carbon–water cycle feedbacks. Variations in T are driven by a wide range of biological and abiotic factors, primarily through changes in vegetation phenology and physiological processes. However, it is unclear that how plant phenology and physiology can be combined to explain forest T and the spatial–temporal variability of its trends. In this paper, annual forest T was decomposed into length of water loss period (WLP) and seasonal maximum transpiration (Tmax). The product of WLP and Tmax explained the spatial–temporal variation of most forests in North America and Eurasia from 2002 to 2021. Further analysis revealed that the interannual variation of Tmax explains the interannual variation of T better than that of WLP. It was also found that the trend of Tmax can affect the trend of forest T more than the trend of WLP. These results suggest that forest T is jointly controlled by ecosystem-level forest phenology and transpiration, and a deeper understanding of how Tmax and WLP respond to environmental and biological changes will enhance the accuracy of spatial–temporal predictions of T.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.