Modeling and Nonlinear Analysis of Plant-Soil Moisture Interactions for Sustainable Land Management: Insights for Desertification Mitigation

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dc.authoridKai, Ge/0000-0002-1252-0340
dc.authoridChen, YangQuan/0000-0002-7422-5988
dc.authoridÖZBEK, Necdet Sinan/0000-0002-7184-9015
dc.contributor.authorKai, Ge
dc.contributor.authorHan, Yongquan
dc.contributor.authorOzbek, Necdet Sinan
dc.contributor.authorMa, Wensai
dc.contributor.authorLiu, Yaze
dc.contributor.authorHe, Gengyun
dc.contributor.authorZhao, Xinyu
dc.contributor.authorChen, Yangquan
dc.date.accessioned2026-02-27T07:33:26Z
dc.date.available2026-02-27T07:33:26Z
dc.date.issued2025
dc.description.abstractThis research explores the dynamics of vegetation patterns under changing environmental conditions, considering the United Nations Sustainable Development Goal 15: Protect, restore, and promote the sustainable use of terrestrial ecosystems; combat desertification; halt and reverse land degradation; and prevent biodiversity loss. In this context, this study presents a modeling and nonlinear analysis framework for plant-soil-moisture interactions, including Holling-II functional response and hyperbolic mortality models. The primary goal is to explore how nonlinear soil-water interactions influence vegetation patterns in semi-arid ecosystems. Moreover, the influence of nonlinear soil-water interaction on the establishment of population patterns is investigated. The formation and evolution of these patterns are explored using theoretical analysis and numerical simulations, as well as important factors and critical thresholds. These insights are crucial for addressing desertification, a key challenge in semi-arid regions that threatens biodiversity, ecosystem services, and sustainable land management. The model, which includes environmental parameters such as rainfall, plant growth rates, and soil moisture, was tested using both theoretical analysis and numerical simulations. These characteristics are carefully adjusted to find important thresholds influencing the danger of desertification. Simulation scenarios, run under set initial conditions and varying parameters, yield useful insights into the pattern of patch development under dynamically changing environmental conditions. The findings revealed that changes in environmental conditions, such as rainfall and plant growth rates, prompted Hopf bifurcation, resulting in the production of three distinct patterns: a dotted pattern, a striped pattern, and a combination of both. The creation of these patterns provides essential information about the sustainability of environmental equilibrium. The variation curve of the average plant biomass reveals that the biomass fluctuates around a constant period, with the amplitude initially increasing, then decreasing, and gradually stabilizing. This research provides a solid foundation for addressing desertification risks, using water resources responsibly, and contributing to a better understanding of ecosystem stability.
dc.description.sponsorshipNational Natural Science Foundation of China [12262024, 12102207, 12102013]; Natural Science Foundation of Inner Mongolia Autonomous Region [2022MS01003]; Support Project for Young Scientific, and Technological Talents of the colleges and universities of the Inner Mongolia Autonomous Region [NJYT23097]; Inner Mongolia Autonomous Region Science and Technology Cooperation Project [2022YJWZ0010]; Project of Inner Mongolia Regional Digital Economy and Digital Governance Research Center [SZZL2022010]; Scientific and Technological Research Council of Turkey (TUBITAK) [BIDEB 2219]; BIDEB 2219 International Research Fellowship Programme [1059B192300663]; [2023MS01014]; [G2023005001L]
dc.description.sponsorshipThis research was funded by the National Natural Science Foundation of China (Nos. 12262024, 12102207, 12102013), the Natural Science Foundation of Inner Mongolia Autonomous Region (2022MS01003, 2023MS01014), the Support Project for Young Scientific, and Technological Talents of the colleges and universities of the Inner Mongolia Autonomous Region (NJYT23097), the 2023 Ministry of Science and Technology Project (G2023005001L), and the 2022 Inner Mongolia Autonomous Region Science and Technology Cooperation Project (2022YJWZ0010). Project of Inner Mongolia Regional Digital Economy and Digital Governance Research Center (SZZL2022010). Necdet Sinan OEzbek was supported by The Scientific and Technological Research Council of Turkey (TUEB & Idot;TAK) under the BIDEB 2219 International Research Fellowship Programme with reference number 1059B192300663.
dc.identifier.doi10.3390/su17031327
dc.identifier.issn2071-1050
dc.identifier.issue3
dc.identifier.urihttp://dx.doi.org/10.3390/su17031327
dc.identifier.urihttps://hdl.handle.net/20.500.14669/4565
dc.identifier.volume17
dc.identifier.wosWOS:001419650600001
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20250327
dc.subjectplant-soil moisture dynamic system
dc.subjectnonlinear dynamics
dc.subjectHopf bifurcations
dc.subjectparameter uncertainty
dc.titleModeling and Nonlinear Analysis of Plant-Soil Moisture Interactions for Sustainable Land Management: Insights for Desertification Mitigation
dc.typeArticle

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