Analysis of Driving Factors for Spatiotemporal Changes in Carbon Sources/Sinks in Yangtze River Economic Belt

Analysis of Driving Factors for Spatiotemporal Changes in Carbon Sources/Sinks in Yangtze River Economic Belt | 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 Analysis of Driving Factors for Spatiotemporal Changes in Carbon Sources/Sinks in Yangtze River Economic Belt Yuqi Tang, Mengfei Yang, Ruizhen Luo, Zihan Dou, Penglin Zhang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7213076/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract The carbon cycle of terrestrial ecosystems acts a fundamental role in regulating the global carbon balance, making it an essential component in the study of both global and regional climate dynamics and the impacts of human activities. As an extremely important characteristic of ecosystems, net ecosystem productivity (NEP) characterizes the carbon accumulation rate of ecosystems. Clarifying its spatiotemporal dynamics and underlying driving mechanisms is critical for supporting effective ecosystem protection and restoration. This study estimates the NEP based on remote sensing data and analyzes its spatiotemporal variation characteristics from 2001 to 2023 in the Yangtze River Economic Belt (YEB) by using trend analysis methods. Subsequently, explore the driving mechanisms between the influencing factors and NEP by utilizing the Geodetector. The following results were obtained: (1) In terms of time, the NEP in the YEB exhibited a fluctuating upward trend from 2001 to 2023, from 174gC·(m 2 ·a) –1 to 209gC·(m 2 ·a) –1 . (2) In terms of space, NEP shows a distribution feature of "higher values in the southwest and lower values in the northeast" in the YEB. (3) The factor detection results indicate that temperature, fraction vegetation coverage and elevation are the main influencing factors of NEP spatial differentiation in the YEB. The explanatory power of each factor is more significant after interaction with others than when it as a individual factor, among interaction between elevation and vegetation coverage is the greatest. Yangtze River Economic Belt (YEB) Net ecosystem productivity (NEP) Geodetector Spatiotemporal variation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 17 Nov, 2025 Reviews received at journal 14 Nov, 2025 Reviews received at journal 27 Oct, 2025 Reviewers agreed at journal 26 Oct, 2025 Reviewers agreed at journal 23 Oct, 2025 Reviewers invited by journal 23 Oct, 2025 Submission checks completed at journal 09 Sep, 2025 First submitted to journal 07 Sep, 2025 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. 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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-7213076","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":538596816,"identity":"9f155c5a-d682-4a8a-a50c-4193d7b9bff2","order_by":0,"name":"Yuqi Tang","email":"","orcid":"","institution":"Wuhan University","correspondingAuthor":false,"prefix":"","firstName":"Yuqi","middleName":"","lastName":"Tang","suffix":""},{"id":538596817,"identity":"9d8922af-e8a8-4d4f-8ddd-7015d466fb1d","order_by":1,"name":"Mengfei Yang","email":"","orcid":"","institution":"Wuhan 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Belt","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"urban-informatics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Urban Informatics](https://link.springer.com/journal/44212)","snPcode":"4212","submissionUrl":"https://submission.springernature.com/new-submission/44212/3","title":"Urban Informatics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Yangtze River Economic Belt (YEB), Net ecosystem productivity (NEP), Geodetector, Spatiotemporal variation","lastPublishedDoi":"10.21203/rs.3.rs-7213076/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7213076/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe carbon cycle of terrestrial ecosystems acts a fundamental role in regulating the global carbon balance, making it an essential component in the study of both global and regional climate dynamics and the impacts of human activities. As an extremely important characteristic of ecosystems, net ecosystem productivity (NEP) characterizes the carbon accumulation rate of ecosystems. Clarifying its spatiotemporal dynamics and underlying driving mechanisms is critical for supporting effective ecosystem protection and restoration. This study estimates the NEP based on remote sensing data and analyzes its spatiotemporal variation characteristics from 2001 to 2023 in the Yangtze River Economic Belt (YEB) by using trend analysis methods. Subsequently, explore the driving mechanisms between the influencing factors and NEP by utilizing the Geodetector. The following results were obtained: (1) In terms of time, the NEP in the YEB exhibited a fluctuating upward trend from 2001 to 2023, from 174gC\u0026middot;(m\u003csup\u003e2\u003c/sup\u003e\u0026middot;a)\u003csup\u003e\u0026ndash;1\u003c/sup\u003e to 209gC\u0026middot;(m\u003csup\u003e2\u003c/sup\u003e\u0026middot;a)\u003csup\u003e\u0026ndash;1\u003c/sup\u003e. (2) In terms of space, NEP shows a distribution feature of \"higher values in the southwest and lower values in the northeast\" in the YEB. (3) The factor detection results indicate that temperature, fraction vegetation coverage and elevation are the main influencing factors of NEP spatial differentiation in the YEB. The explanatory power of each factor is more significant after interaction with others than when it as a individual factor, among interaction between elevation and vegetation coverage is the greatest.\u003c/p\u003e","manuscriptTitle":"Analysis of Driving Factors for Spatiotemporal Changes in Carbon Sources/Sinks in Yangtze River Economic Belt","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-04 04:26:17","doi":"10.21203/rs.3.rs-7213076/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-11-17T09:07:33+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-14T15:53:14+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-27T06:28:05+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"17800603073208574570205552603050551929","date":"2025-10-26T12:10:13+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"25293885203702392866274069144221621894","date":"2025-10-24T02:54:56+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-10-23T04:28:39+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-09T06:56:36+00:00","index":"","fulltext":""},{"type":"submitted","content":"Urban Informatics","date":"2025-09-07T10:11:58+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"urban-informatics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Urban Informatics](https://link.springer.com/journal/44212)","snPcode":"4212","submissionUrl":"https://submission.springernature.com/new-submission/44212/3","title":"Urban Informatics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5a3e9b26-b169-4762-beba-af0e3fc67fd8","owner":[],"postedDate":"November 4th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-01-23T06:54:19+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-04 04:26:17","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7213076","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7213076","identity":"rs-7213076","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}