Landscape Protection and Intelligent Application Based On AI Technology

Landscape Protection and Intelligent Application Based On AI Technology | 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 Landscape Protection and Intelligent Application Based On AI Technology Erlan Xie, Xiao Hu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6972006/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 Nov, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted 10 You are reading this latest preprint version Abstract The creation of contemporary cities depends heavily on modern landscape protection based on AI, which also helps to enhance the natural environment and enhances the perception of cities. Human comprehension of artificial intelligence is growing as a result of society's and technology's ongoing advancements, and intelligent technology is progressively permeating every facet of daily life. It will be easier to use network means for landscape protection because media technology can implement rich design structures and has rich design features. Thus, in order to satisfy people's demands for the diversification of contemporary urban gardening construction, this study thoroughly examines the state and issues of landscape design today and attempts to investigate the efficient ways that artificial intelligence technology can be applied to landscape design in order to encourage the integration of landscape design and AI design. In addition to encouraging creativity and optimization in landscape design, artificial intelligence successfully boosts the efficiency of contemporary landscape design while guaranteeing its quality. From 2012 to 2024, at five-year intervals, we calculated the landscape ecological risk to 510 of China's nature reserves across levels, climate zones, and ecosystem types using the Landscape Ecological Risk Index. We also investigated the effects of climate change and human activity on the temporal variation and spatial heterogeneity of landscape ecological risk in China's nature reserves. According to our findings, there has been a general drop in the landscape ecological danger to China's nature reserves during the previous thirty years, with the most noticeable decline occurring between 2012 and 2024. With the maximum accuracy of 97.2%, precision of 96.2%, recall of 96.8%, and F1-score of 97.1%, the proposed GSV-MLP model is the best. The recommended technique performs better at minimizing absolute errors than RMSE and MAE. However, whilst the landscape ecological risk to other ecosystem types has declined, the landscape ecological risk to coastline nature reserves has grown. Landscape Protection GCV-MLP ecological risk Intelligent Application AI Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 Nov, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted Editorial decision: Revision requested 19 Jul, 2025 Reviews received at journal 18 Jul, 2025 Reviews received at journal 08 Jul, 2025 Reviewers agreed at journal 07 Jul, 2025 Reviewers agreed at journal 07 Jul, 2025 Reviewers invited by journal 07 Jul, 2025 Editor assigned by journal 07 Jul, 2025 Editor invited by journal 06 Jul, 2025 Submission checks completed at journal 05 Jul, 2025 First submitted to journal 05 Jul, 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. 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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-6972006","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":482562520,"identity":"c80c8b25-8228-4bd3-bd7a-7d73e9ce15f3","order_by":0,"name":"Erlan Xie","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIie3QMWrDMBSA4ScMzqLE6wuCpkdQ8JCGGHyQLgqBdFGgo4eQKgg0pXR1b6MgUBfTC/QSgS6BLlVop4Jdd+ugfxLifYgngFjsH1aqRAExCOWTfjmfws0IIOkkHMgX4ejFuAbAtBeB5nKQ14z2Iuy4f7+vbq5mweVF5XbpQDsO2+K2dZfRUrOaYz7Xj3YlG4cp9SsBfr1Rba9QohjluFT2VbiNCQRlbolyXUR/0AoflJVTPe9JDKMNCm5lnpBvIn4ji6HB6XPt1+TQ3I1N2IWLjl3KQ+LehmY3yTLt4Vwtsiz8GJ62RStpSfxtPBaLxWI/+gSpwFLXd2s2WgAAAABJRU5ErkJggg==","orcid":"","institution":"Hainan College of Economics and Business","correspondingAuthor":true,"prefix":"","firstName":"Erlan","middleName":"","lastName":"Xie","suffix":""},{"id":482562522,"identity":"414acd95-517e-4fdb-abc1-12666bb05678","order_by":1,"name":"Xiao Hu","email":"","orcid":"","institution":"Hainan College of Economics and Business","correspondingAuthor":false,"prefix":"","firstName":"Xiao","middleName":"","lastName":"Hu","suffix":""}],"badges":[],"createdAt":"2025-06-25 07:53:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6972006/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6972006/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s44163-025-00544-x","type":"published","date":"2025-11-03T15:58:08+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":95564084,"identity":"2e68bfbf-674b-4e06-a44e-7bd85949b001","added_by":"auto","created_at":"2025-11-10 16:07:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":563151,"visible":true,"origin":"","legend":"","description":"","filename":"LandscapeProtectionandIntelligentApplicationBasedOnAITechnology.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6972006/v1_covered_03c3296a-0a8e-43d0-be0d-07a7af45bd54.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Landscape Protection and Intelligent Application Based On AI Technology","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":"discover-artificial-intelligence","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"diai","sideBox":"Learn more about [Discover Artificial Intelligence](https://www.springer.com/44163)","snPcode":"","submissionUrl":"","title":"Discover Artificial Intelligence","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Landscape Protection, GCV-MLP, ecological risk, Intelligent Application, AI","lastPublishedDoi":"10.21203/rs.3.rs-6972006/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6972006/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe creation of contemporary cities depends heavily on modern landscape protection based on AI, which also helps to enhance the natural environment and enhances the perception of cities. 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