Determination of the drivers of macro-scale ecosystem service values and the evolution of spatial patterns

Determination of the drivers of macro-scale ecosystem service values and the evolution of spatial patterns | 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 Article Determination of the drivers of macro-scale ecosystem service values and the evolution of spatial patterns Yuan Li, Xiao Hui Wang, Yu Xuan Wan, Bin Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5300949/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 China's Yellow River Basin (YRB) is among the country's most intricate watersheds in terms of topographic and geomorphological features. Additionally, it poses a significant barrier for China's national ecological security and economic growth. An essential tool for scientific land use and management planning in the YRB, additionally for improving watershed system management, ecological protection, and restoration capacities, is examining the effects of land type conversion on the spatial variations of ecosystem service value (ESV). The spatial characteristic changes of ESV in the YRB were analyzed by using the grid method and the adjusted equivalence factor method. Using a geodetector, the geographical effects of the contributing factors on ESV were examined, and the correlations between the influencing factors and the changes in ESV were analyzed based on the grey correlation model temporally. The finding indicates that (1) The single motivation of ecological land in the YRB between 1980 and 2020 has a positive increase, and the single motivation of cultivated land, wetland and unutilized land has negatively increased. Its combined motivation is in a positively increasing state. (2) From 1980 to 2020, there was a change in the YRB ESV supply service, regulatory service, support service, and cultural service; these services first decreased and then increased. (3) The higher and lower delta regions of the YRB are the primary areas of elevated distribution and aggregated growth of ESVs; the Taihang Mountains and the Qinling Mountains are the dividing line of the spatial distribution of the various ESVs. The different ESVs in the YRB from 1980 to 2020 show a stepwise change in spatial distribution. (4) The effects of rainfall, habitat quality, population density, GDP and DEM on ESV were stronger in space, and soil type, slope, population density, GDP and nighttime light index were more highly correlated with ESV in time. Throughout the study period, as socioeconomic and anthropogenic activity intensities grew, so did their effects on ESV in the YRB. The ecological environment quality of the YRB's upstream and the delta at the mouth of the sea had greatly improved due to the successful ecological management of the region between 1980 and 2020, which made the region’s ESVs’ spatial aggregative differentiation of ESVs worse. This study provides the scientific basis and tools for decision-making on land use, management, and the spatial planning of socioeconomic development in the YRB. Earth and environmental sciences/Ecology/Ecosystem ecology Earth and environmental sciences/Ecology/Ecosystem services Earth and environmental sciences/Ecology/Environmental economics Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Environmental sciences/Environmental impact Earth and environmental sciences/Environmental social sciences/Environmental impact Earth and environmental sciences/Environmental social sciences/Sustainability Yellow River Basin land dynamics and contribution grid method ecosystem service value (ESV) gray correlation geographic detector Full Text Additional Declarations No competing interests reported. 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. 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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-5300949","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":381888775,"identity":"be2ff625-878e-4c4e-a4e9-b932e6ced5bc","order_by":0,"name":"Yuan Li","email":"","orcid":"","institution":"Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China","correspondingAuthor":false,"prefix":"","firstName":"Yuan","middleName":"","lastName":"Li","suffix":""},{"id":381888776,"identity":"ed24c2df-e5c5-4223-91b9-c8a527cb0694","order_by":1,"name":"Xiao Hui Wang","email":"","orcid":"","institution":"Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China","correspondingAuthor":false,"prefix":"","firstName":"Xiao","middleName":"Hui","lastName":"Wang","suffix":""},{"id":381888777,"identity":"0a05e875-1c0a-4be1-8d10-bb371bb10f4c","order_by":2,"name":"Yu Xuan Wan","email":"","orcid":"","institution":"Division of International Cooperation, Chinese Academy of Forestry, Beijing 100091, China","correspondingAuthor":false,"prefix":"","firstName":"Yu","middleName":"Xuan","lastName":"Wan","suffix":""},{"id":381888778,"identity":"dbae3f9a-174b-4750-88d6-d8cd2423db94","order_by":3,"name":"Bin Xu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYBACA2YQWcHAA6IOkKDlDElaQARjGykOM2fnPSbNO++wjDkD+8PDBTUM8vxiBCyzbOZLNubddpjHsoHH4PCMYwyGM2cnEHDYYR7Dx7zb0ngMDvAwHOZhY0gwuE1Yi8Fh3jkgLewPDvP8I04L0JYGG6AWIJu3jQgtls08xoZzjtnwABlALX0ShP1izn/GTOJNjYS9OXv7488832zk+aUJaEG4EBynDBJEKgdrIUHtKBgFo2AUjDAAAHpAN/0SG5F6AAAAAElFTkSuQmCC","orcid":"","institution":"Division of International Cooperation, Chinese Academy of Forestry, Beijing 100091, China","correspondingAuthor":true,"prefix":"","firstName":"Bin","middleName":"","lastName":"Xu","suffix":""}],"badges":[],"createdAt":"2024-10-21 03:53:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5300949/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5300949/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":73628928,"identity":"18d33e2a-799b-4d8a-84e4-d46ff00fd998","added_by":"auto","created_at":"2025-01-13 06:03:08","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1855785,"visible":true,"origin":"","legend":"","description":"","filename":"Determinationofthedriversofmacroscaleecosystemservicevaluesandtheevolutionofspatialpatterns.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5300949/v1_covered_e2910229-47c5-4721-b884-09087396a470.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Determination of the drivers of macro-scale ecosystem service values and the evolution of spatial patterns","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Yellow River Basin, land dynamics and contribution, grid method, ecosystem service value (ESV), gray correlation, geographic detector","lastPublishedDoi":"10.21203/rs.3.rs-5300949/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5300949/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eChina's Yellow River Basin (YRB) is among the country's most intricate watersheds in terms of topographic and geomorphological features. Additionally, it poses a significant barrier for China's national ecological security and economic growth. An essential tool for scientific land use and management planning in the YRB, additionally for improving watershed system management, ecological protection, and restoration capacities, is examining the effects of land type conversion on the spatial variations of ecosystem service value (ESV). The spatial characteristic changes of ESV in the YRB were analyzed by using the grid method and the adjusted equivalence factor method. Using a geodetector, the geographical effects of the contributing factors on ESV were examined, and the correlations between the influencing factors and the changes in ESV were analyzed based on the grey correlation model temporally. The finding indicates that (1) The single motivation of ecological land in the YRB between 1980 and 2020 has a positive increase, and the single motivation of cultivated land, wetland and unutilized land has negatively increased. Its combined motivation is in a positively increasing state. (2) From 1980 to 2020, there was a change in the YRB ESV supply service, regulatory service, support service, and cultural service; these services first decreased and then increased. (3) The higher and lower delta regions of the YRB are the primary areas of elevated distribution and aggregated growth of ESVs; the Taihang Mountains and the Qinling Mountains are the dividing line of the spatial distribution of the various ESVs. The different ESVs in the YRB from 1980 to 2020 show a stepwise change in spatial distribution. (4) The effects of rainfall, habitat quality, population density, GDP and DEM on ESV were stronger in space, and soil type, slope, population density, GDP and nighttime light index were more highly correlated with ESV in time. Throughout the study period, as socioeconomic and anthropogenic activity intensities grew, so did their effects on ESV in the YRB. The ecological environment quality of the YRB's upstream and the delta at the mouth of the sea had greatly improved due to the successful ecological management of the region between 1980 and 2020, which made the region\u0026rsquo;s ESVs\u0026rsquo; spatial aggregative differentiation of ESVs worse. This study provides the scientific basis and tools for decision-making on land use, management, and the spatial planning of socioeconomic development in the YRB.\u003c/p\u003e","manuscriptTitle":"Determination of the drivers of macro-scale ecosystem service values and the evolution of spatial patterns","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-11-26 03:51:38","doi":"10.21203/rs.3.rs-5300949/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"567ff33e-84ec-412f-997e-566a84bb07b0","owner":[],"postedDate":"November 26th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":40672417,"name":"Earth and environmental sciences/Ecology/Ecosystem ecology"},{"id":40672418,"name":"Earth and environmental sciences/Ecology/Ecosystem services"},{"id":40672419,"name":"Earth and environmental sciences/Ecology/Environmental economics"},{"id":40672420,"name":"Earth and environmental sciences/Environmental sciences"},{"id":40672421,"name":"Earth and environmental sciences/Environmental sciences/Environmental impact"},{"id":40672422,"name":"Earth and environmental sciences/Environmental social sciences/Environmental impact"},{"id":40672423,"name":"Earth and environmental sciences/Environmental social sciences/Sustainability"}],"tags":[],"updatedAt":"2025-01-13T05:53:38+00:00","versionOfRecord":[],"versionCreatedAt":"2024-11-26 03:51:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5300949","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5300949","identity":"rs-5300949","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}