Under the dual pressures of climate change and rapid urbanization, a comprehensive analysis of vegetation’s spatiotemporal patterns and their driving forces plays a pivotal role for addressing global ecological challenges. However, systematic bibliometric analyses in this field remain limited. This study involved a comprehensive bibliometric analysis of 18,270 related publications from 1989 to 2024 retrieved from the Web of Science SCI-Expanded database, elucidating research trends, methodologies, and key thematic areas. Utilizing the bibliometrix and biblioshiny tools, the results reveal an annual average growth rate of 17.62% in the number of published research articles, indicating rapid research expansion. Climate change emerged as the core driving force, with high-frequency keywords such as “vegetation”, “dynamics”, and “variability”. China (18,687 papers), the United States (14,502 papers), and Germany (3394 papers) are the leading contributors in this domain, with China showing the fastest growth in research output, albeit with relatively lower average citation rates. Core journals, including Remote Sensing of Environment and Global Change Biology, have played pivotal roles in advancing vegetation dynamics research, with remote sensing techniques dominating the field. The study highlights a shift in vegetation dynamics research from single-variable analyses (e.g., temperature, precipitation) to multi-scale and multidimensional approaches around 2010. Regional studies, such as those focusing on the Loess Plateau, are gaining importance, while advancements in remote sensing and machine learning technologies have enhanced the precision and scalability of research. This study provides a comprehensive summary of the current state and development trends in vegetation spatiotemporal dynamics and their driving forces, offering valuable insights for future research in the field.

National wetland parks, characterized by robust ecological functions, distinctive natural landscapes, and abundant cultural resources significantly enhance human wellbeing, serve as crucial providers of ecosystem products, and exert substantial influence on local socioeconomic development and ecological conservation. There is an urgent need to carry out the Gross Ecosystem Product (GEP) accounting and monetize the value of ecosystem products. Taking the Shandong Mata Lake National Wetland Park (SMTNWP) in China as the example, and considering the characteristics of wetland parks, this research constructed the GEP accounting index system comprising 11 secondary subjects from the perspectives of regulation and socio-cultural functions. Taking the year 2021 as the research period, the monetary value was assessed based on biophysical value accounting, and the GEP level was determined. The results showed that the GEP of SMTNWP in 2021 is CNY 74.8317 million, with a unit area GEP of 73,200 CNY/hm². Regulating ecosystem products constitute the core component of GEP, facilitating the sustainable development of wetland conservation and restoration, as well as eco-cultural tourism. Moving forward, efforts in wetland protection, restoration and maintenance should be sustained, and the platforms for promotion, education and scientific research should be proactively established. The research results can offer support and references for the establishment of unified accounting subjects and systems for similar ecosystems and national wetland parks, and translate the human wellbeing of national wetland parks into visual monetization, providing theoretical basis for the government to realize the value of ecosystem products, and further promoting the conversion of ecological value into economic benefits.

Ecosystem service valuation (ESV) provides a scientific basis for balancing ecological conservation and socioeconomic development. With the rapid progress of Earth observation technologies, remote sensing has become an essential tool for quantifying and mapping ecosystem services at multiple spatial and temporal scales. However, a comprehensive understanding of the global research landscape on ecosystem service valuation using remote sensing remains limited. In this study, this study conducted a bibliometric analysis of publications retrieved from the Web of Science Core Collection between 1990 and 2024. A total of 1172 articles were identified through a systematic search strategy integrating ecosystem service valuation and remote sensing keywords. The analysis employed performance indicators (e.g., publication output, citation trends, and core journals), collaboration networks (countries, institutions, and authors), and keyword co-occurrence to reveal research hotspots and emerging frontiers. The results show a steady growth of publications, with a significant surge after 2010 driven by the application of MODIS, Landsat, and Google Earth Engine in large-scale ESV studies. China, the United States, and several European countries play dominant roles in terms of both output and international collaboration. Research hotspots have shifted from conceptual frameworks and regional case studies to methodological innovations, such as spatial modeling, integration of remote sensing with ecosystem accounting frameworks, and applications in ecological security and sustainable development. This study highlights the increasing importance of remote sensing in advancing ecosystem service valuation and provides insights into future directions, including high-resolution monitoring, machine learning integration, and policy-oriented assessments.

The Yellow River floodplain relies on plantations for ecological restoration, yet the key factors influencing soil microbial communities remain poorly elucidated. In this study, we investigated soil microbial communities under four representative stand types (Populus tomentosa monoculture (PP), Salix matsudana monoculture (PS), Populus tomentosa-Robinia pseudoacacia mixed plantation (MPR), and Salix matsudana-Populus tomentosa mixed plantation (MSP)) in this region. Using high-throughput sequencing, we compared the soil microbial community composition and diversity across stands, and combined soil physicochemical measurements to evaluate the relationships between community variation and soil factors. The results indicated that soil physicochemical properties differed significantly among stand types, except for available phosphorus. Bacterial α-diversity was highest in MPR, whereas fungal α-diversity was highest in MSP. Variation in microbial community structure (β-diversity) was primarily explained by soil organic carbon, total nitrogen, pH, water content, and electrical conductivity, as indicated by redundancy analysis and Mantel tests. The dominant bacterial phyla were Acidobacteriota, Pseudomonadota (formerly Proteobacteria), and Actinomycetota, while the dominant fungal phyla were Ascomycota, Basidiomycota, and Mortierellomycota. These findings demonstrate significant variation in soil microbial communities among plantation types and highlight the important role of soil physicochemical properties in shaping microbial community composition.

Bamboo forests constitute a strategic resource within China's forest ecosystem, encompassing approximately 6.416 million hectares, which represents nearly 2\% of the total forested area. This paper presents a comprehensive review of bamboo forest management policies in China, tracing the evolution of macro-level policy frameworks, organizational structures, and incentive mechanisms from the 1950s to the present. The Chinese bamboo sector has transformed from a marginal forestry subsector into a nationally prioritized industry, with the total output value projected to exceed one trillion yuan by 2035. Key policy milestones, including the 2008 reform of collective forest rights, national bamboo industry development plans, and the 2021 establishment of the first bamboo carbon sink trading center, are analyzed within the context of China's dual carbon goals to peak emissions by 2030 and achieve carbon neutrality by 2060. Furthermore, the study examines structural challenges such as fragmented land tenure, low mechanization levels, and shortages of skilled personnel, while proposing policy recommendations to enhance sustainable bamboo forest management. These findings provide valuable implications for bamboo-producing regions at earlier stages of policy development, particularly in Africa and Latin America.