Vegetation Dynamics and Mechanisms in Ecosystem Functioning

A special issue of Plants (ISSN 2223-7747).

Deadline for manuscript submissions: closed (15 March 2026) | Viewed by 951

Special Issue Editors


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Guest Editor
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Interests: ecosystem services; protected areas; remote sensing; sustainability

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Guest Editor
College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
Interests: grassland degradation and restoration; climate change impacts on grasslands; grassland ecosystem structure and function; grassland ecosystem services and sustainable management

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Guest Editor
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: high-resolution imagery; sustainable development; alpine grassland; land restoration; grassland conservation and restoration

Special Issue Information

Dear Colleagues,

Land degradation poses significant global challenges, leading to substantial losses in biodiversity, disruption of ecosystem services, and heightened vulnerability to climate change. In this context, vegetation serves as an essential buffer in regulating environmental processes and maintaining ecological stability. However, the accelerating impacts of climate change and increasing human activities are profoundly altering plant community structures and functions, threatening resilience on a global scale. This Special Issue focuses on state-of-the-art vegetation monitoring approaches—such as remote sensing, big data analytics, and field observations—while also exploring innovative ecological restoration strategies that integrate natural regeneration with artificial interventions to address the pressing challenges of land degradation and climate change. Additionally, diverse management practices designed to promote environmental sustainability will be examined, emphasizing their role in enhancing ecosystem services. We particularly encourage submissions that investigate various ecosystems—such as grasslands, forests, and wetlands—to assess vegetation's impact on soil nutrient cycling, water resource conservation, and biodiversity. Furthermore, the combined effects of human activity and climate change on these ecosystems will be a focal point of discussion. We warmly invite researchers in ecology, botany, and environmental management to submit their latest findings, fostering innovative solutions and breakthroughs in addressing global ecological challenges and advancing restoration efforts within a dynamic framework.

We welcome the submission of original research articles, short-communications and comprehensive reviews at both macro and micro scales, addressing the following and other relevant subtopics, but not limited to the following:

  1. Explore how plant dynamics influence ecosystem functions and services.
  2. Investigate the effects of climate change on the composition and structure of vegetation in different ecosystems and their ecological consequences.
  3. Analyze the interactions between vegetation and soil nutrient cycling and their contributions to ecological health.
  4. Assess how vegetation diversity drives and maintains overall biodiversity within ecosystems.
  5. Examine the synergy between natural regeneration and artificial interventions in the effectiveness of ecological restoration.
  6. Research how human activities influence vegetation structure and the stability of ecosystems.
  7. Investigate the interrelationships between vegetation in different ecosystems and their significance in management and conservation.

Dr. Ting Hua
Dr. Zhenchao Zhang
Dr. Tianyu Zhan
Guest Editors

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Keywords

  • vegetation dynamics
  • ecological restoration
  • environmental sustainability
  • land degradation
  • ecosystem services
  • climate change
  • soil nutrient cycling
  • biodiversity
  • carbon stock

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Published Papers (1 paper)

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Research

24 pages, 29208 KB  
Article
Analyzing the Driving Forces of Vegetation Change in the Yellow River Basin: Comprehensive Assessment of Natural Social and Economic Factors
by Fei Gao, Ying Yang, Weijie Yuan, Xiuxiu Deng, Lina Wang and Shuai Zhang
Plants 2026, 15(4), 628; https://doi.org/10.3390/plants15040628 - 16 Feb 2026
Viewed by 467
Abstract
Leaf area index (LAI) is a key vegetation structural parameter widely used to quantify vegetation dynamics. A thorough understanding of its spatiotemporal characteristics and driving mechanisms is essential for sustainable ecosystem management. This study combines LAI and climate remote sensing data with socioeconomic [...] Read more.
Leaf area index (LAI) is a key vegetation structural parameter widely used to quantify vegetation dynamics. A thorough understanding of its spatiotemporal characteristics and driving mechanisms is essential for sustainable ecosystem management. This study combines LAI and climate remote sensing data with socioeconomic statistics, and uses the Geographically and Temporally Weighted Regression (GTWR) model and geographic detector to identify the key drivers of LAI changes and their spatial differentiation characteristics. The results indicate a significant upward trend in the LAI across the basin, with a markedly higher growth rate after 2000 (0.0123/year) compared to the period before 2000 (0.0028/year). Spatially, before 2000, 57% of the regions showed an increasing trend in LAI, while after 2000, 69% of the regions exhibited an increasing trend in LAI. In terms of temporal LAI dynamics, in the eastern region, the positive promotion effect of the Grain for Green policy (GRGR) was the most significant factor affecting LAI changes. In the central region, the employed population ratio (EPR) emerged as the dominant factor driving LAI increase. In the western region, the negative effect of the urban–rural income ratio (IR) served as the primary driver of LAI change. Regarding the spatial distribution of LAI, both natural and policy factors were statistically significant. Mean precipitation (MP) and mean slope (MS) exerted the most pronounced influences, followed by mean temperature (MT) and GRGR, whereas mean elevation (MD) showed the weakest effect. Notably, socioeconomic factors did not demonstrate statistically significant impacts on the spatial distribution of LAI. This study provides a theoretical foundation for understanding the driving mechanisms of LAI dynamics in the Yellow River Basin and offers scientific support for ecological restoration and sustainable management in the region. Full article
(This article belongs to the Special Issue Vegetation Dynamics and Mechanisms in Ecosystem Functioning)
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