From resource-rich to resource-poor grasslands: A shift in β-diversity assembly mechanisms from biotic control to abiotic dominance | 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 From resource-rich to resource-poor grasslands: A shift in β-diversity assembly mechanisms from biotic control to abiotic dominance Jinghui Zhang, Tao Liu, Qingqing Wang, Chengzhen Jia, Ziqing Gong, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7763128/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 Understanding beta-diversity drivers is crucial in an era of biotic homogenization, yet whether its assembly mechanisms shift along environmental gradients remains unclear. Through a trait-based approach across Inner Mongolian grasslands, we collected vegetation data from 134 sites (402 quadrats) encompassing both resource-rich and resource-poor grassland types. Accordingly, we integrated measurements of 22 plant economic traits of dominant species, 7 soil properties, species-area relationships, species composition, and aboveground biomass. Results show resource-poor grasslands exhibit a steeper species-area slope (z-value), indicating higher beta-diversity, than resource-rich grasslands. Crucially, drivers shifted fundamentally: biotic factors (e.g., species richness) dominated in resource-rich systems, whereas abiotic filters (e.g., soil C/N, pH) prevailed in resource-poor systems. Stress-tolerant traits correlated with reduced turnover but were subordinate to abiotic filtering. This systematic transition from niche differentiation to environmental filtering provides a mechanistic framework for predicting biodiversity change, emphasizing the need for context-dependent conservation under global change. Biological sciences/Ecology/Grassland ecology Earth and environmental sciences/Ecology/Ecosystem ecology β-diversity species–area relationship community assembly environmental filtering functional traits grassland ecosystems Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryInformation.docx From resource-rich to resource-poor grasslands: A shift in β-diversity assembly mechanisms from biotic control to abiotic dominance https.docx Data and Code link for reviewers 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-7763128","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":525235764,"identity":"79e93546-30c6-432f-aca4-131131204396","order_by":0,"name":"Jinghui 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