Vegetation growth carryover and lagged climatic effect at different scales: from tree rings to the early growth season of xylem

Vegetation growth carryover and lagged climatic effect at different scales: from tree rings to the early growth season of xylem | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Vegetation growth carryover and lagged climatic effect at different scales: from tree rings to the early growth season of xylem Jiuqi Chen, Yonghui Wang, Tongwen Zhang, Kexiang Liu, Xiaoxia Gou, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6351192/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Vegetation growth is influenced not only by current climatic conditions but also by the growth-enhancing signals and preceding climate factors. In order to explore the effects of Vegetation growth carryover (VGC) and lagged climatic effect (LCE) on tree-rings and the early growth season of xylem at two different scales. Taking the dominant species Juniperus seravschanica in Tajikistan as the research subject, this study combines tree-ring width data with early of growth season of xylem data (from the start of xylem growth to the first day of the NDVI peak month) simulated using the Vaganov-Shashkin (V-S) model, a process-based tree-ring growth model. A vector autoregression (VAR) model was employed to analyze the response intensity and duration of vegetation growth carryover effect (VGC) and lagged climatic effect (LCE) to climate. The results show that the VGC response intensity in the early of growth season of xylem phase is higher than that of tree-ring width. The LCE duration for both early of growth season of xylem and tree-ring width ranges from 0 to 11 (year or season), with peak LCE response intensity observed at lag 2–3(year or season). The persistence of climate’s lag effect on vegetation growth has been underestimated, supporting the use of lag 0–3(year or season) to study the long-term impacts of climate. The influence of VGC on vegetation growth is significantly stronger than that of LCE；Ultimately, indicating that Juniperus seravschanica adapts to harsh environments by modulating its growth strategy through VGC and LCE. Investigating the VGC and LCE of multi-scale xylem growth indicators enhances our understanding of forest ecosystem dynamics. Tree Rings The Early of Growth Season of Xylem Vegetation Growth Carryover Effect lagged climatic effect Vector Autoregression Model Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryInformation.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6351192","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":522139711,"identity":"8d36506c-360f-40b4-9f26-18d9686ece3f","order_by":0,"name":"Jiuqi Chen","email":"","orcid":"","institution":"Xinjiang Normal University","correspondingAuthor":false,"prefix":"","firstName":"Jiuqi","middleName":"","lastName":"Chen","suffix":""},{"id":522139712,"identity":"33b39477-7be7-49f0-a49b-dea7d20fc8e5","order_by":1,"name":"Yonghui Wang","email":"","orcid":"","institution":"Xinjiang Normal 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In order to explore the effects of Vegetation growth carryover (VGC) and lagged climatic effect (LCE) on tree-rings and the early growth season of xylem at two different scales. Taking the dominant species Juniperus seravschanica in Tajikistan as the research subject, this study combines tree-ring width data with early of growth season of xylem data (from the start of xylem growth to the first day of the NDVI peak month) simulated using the Vaganov-Shashkin (V-S) model, a process-based tree-ring growth model. A vector autoregression (VAR) model was employed to analyze the response intensity and duration of vegetation growth carryover effect (VGC) and lagged climatic effect (LCE) to climate. The results show that the VGC response intensity in the early of growth season of xylem phase is higher than that of tree-ring width. The LCE duration for both early of growth season of xylem and tree-ring width ranges from 0 to 11 (year or season), with peak LCE response intensity observed at lag 2–3(year or season). The persistence of climate’s lag effect on vegetation growth has been underestimated, supporting the use of lag 0–3(year or season) to study the long-term impacts of climate. The influence of VGC on vegetation growth is significantly stronger than that of LCE；Ultimately, indicating that Juniperus seravschanica adapts to harsh environments by modulating its growth strategy through VGC and LCE. 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