Search Results (8,641)

Internal and external environmental changes have led to changes in the service value of plateau ecosystems. Plateau ecosystems are facing a risk of falling into “recession”. Meanwhile, climate change has become an important factor affecting the service value of plateau grassland ecosystems. In this paper, from the perspective of how changes in climate factors inhibit the value of ecosystem services of plateau grasslands, we adopt the equivalent factor method to measure the value of grassland ecosystem services in eight municipal levels in Qinghai Province from 2000 to 2021. We also construct a fixed utility model to test how changes in climate factors affect the value of ecosystem services and use the grass–animal balance as a mediating effect model for the test. The results of the study showed that (1) the increase in temperature and precipitation among the changes in climate factors significantly suppresses the ecosystem service value of grassland in the plateau. (2) The mediation test shows that the grass–livestock balance helped suppress the effects of climate factor changes on the ecological service value of plateau grassland. (3) The heterogeneity test shows that the area containing the Three-River-Source National Park is more resistant to climate factor changes. Climate factor changes have a greater impact on the ecosystem service value of plateau grassland in high altitude areas and have a significant positive effect on sustained low grassland carrying pressure index status. Therefore, in the protection of plateau grassland ecosystems, we should pay attention to the inputs in the ecosystems as well as appropriate grazing. At the same time, this study can provide a reference value for the decision-making with respect to ecological natural resources protection or restoration in plateau grassland under the effects of climate factors. Full article

The rapid development of urbanization has led to population growth, increased resource consumption, and intensified environmental pollution. Consequently, urban ecological security has increasingly become a key factor constraining the sustainable development of socio-economic systems. This study constructed an urban ecological security evaluation system based on the Pressure-State-Response (PSR) model and used Xuzhou, a typical coal resource city, as a case study to apply and validate the model. Specifically, the analytic hierarchy process and entropy weight method were used to determine the index weights, and the ecological security index was used to evaluate the ecological security status of each system in Xuzhou from 2006 to 2022. Finally, the grey prediction GM (1,1) model was used to predict the ecological security status of Xuzhou in the next five years. The results show that the “disposal capacity of waste gas treatment facilities”, “per capita disposable income”, and “agricultural fertilizer application intensity” occupy a large weight in the whole evaluation system. The pressure index generally showed a fluctuating upward trend, and the state index fluctuated around 0.12. There is a simultaneous upward trend in the response index and the composite index. The ecological security level of the composite index has increased from “unsafe” in 2006 to “relatively safe” in 2022 and will continue to improve to “ideal security” in the future. This study provides a scientific basis for the formulation of sustainable development policies in Xuzhou and also provides a reference for the ecological safety management and assessment of other similar cities. Full article

Shelter forest systems in the sandy areas mainly comprise farmland shelter forests (FSF) and windbreak and sand-fixing forests (WSF). Through a questionnaire survey of farmers in the oasis–desert transition zone of the windy desert areas of the Hexi Corridor in China, a perception assessment model of farmers’ perception of the status quo and ecosystem service function of shelter forests was constructed, and the willingness of farmers to pay for shelter forest construction and protection was measured. Influencing factors for the farmers’ perception of shelter forests were analyzed by a multiple regression analysis. The results showed problems with pests and diseases all present in FSF and WSF, the destruction of farmland in FSF, and water scarcity in WSF. Farmers evaluated the ecological role of shelter forests as the most obvious in windbreak and sand fixation; intermediate in the four ecological roles of leisure and recreation, agricultural production, a sense of locality, and climate regulation; and the smallest in soil improvement. Nearly 95% of farmers are willing to donate funds to shelter forest construction and protection, and the average amount the farmers were willing to pay was CNY 54.30 per year. Willingness to pay, annual household income, gender, environmental experience, age, and interview area have significant effects on farmers’ perception of shelter forests. Finally, in this paper, we recommend increasing motivation through government financial support and training for farmers to address pests and diseases, water security, and the destruction of farmland in shelter forests to ensure healthy and sustainable growth. Full article

Karst rocky desertification (KRD) is a serious ecological and environmental issue, hindering the sustainable socio-economic development of the karst area. To scientifically control this issue, lots of studies on KRD vegetation restoration have been conducted in the past few decades. In the present study, a systematic review of the research progress and future trends in KRD vegetation restoration was conducted. The results showed the following: (1) Studies on KRD vegetation restoration began in the 1990s and could be divided into the four following stages: germination (1993–2002), initial development (2003–2010), steady growth (2011–2016), and rapid growth (2017–2023); (2) research hot topics included theoretical implications, vegetation restoration strategies and technologies, ecological responses to the KRD vegetation restoration, and the coupling of vegetation restoration with landscape resource enhancement; (3) the research frontiers were as follows: the classification and restoration effectiveness of KRD vegetation types, the impacts of KRD vegetation restoration on soil microorganisms and soil erosion, the influences of ecological engineering and land use on KRD vegetation restoration, and the relationships between KRD vegetation restorations and karst ecosystem structural functions. Finally, research prospects were proposed from the research methods, perspectives, content, and shortcomings. This study provided valuable references for in-depth research in the field of KRD vegetation restoration. Full article

Marine sports tourism has emerged as a significant niche within the broader tourism industry, offering unique opportunities for economic development, social well-being, and environmental sustainability. This study presents a comprehensive bibliometric analysis of marine sports tourism research, examining publications up to July 2024 from the core collection databases of the Web of Science. The analysis assesses the productivity, research themes, and emerging trends within this field. The results indicate significant growth in research output over the past three decades. Saayman M., Giglio V. J., and Van der Merwe P. are identified as the most productive authors, while Australia, the United States, China, and the United Kingdom demonstrate high levels of research productivity and impact. Ocean & Coastal Management is recognized as the most impactful journal. Keyword co-occurrence and clustering analysis revealed four major research clusters: Environmental Impacts and Community Interaction, Conservation and Ecological Impacts, Behavioral Studies and Perceptions, and Management and Scuba Diving. Topic trend analysis highlights a shift in research focus from the environmental impacts of marine sports tourism to a more integrated approach that considers environmental, economic, and social dimensions. Based on the current research landscape and developmental trajectory, the study proposes future research directions, including addressing identified research gaps, enhancing the resilience of marine sports tourism activities, and developing holistic approaches to sustainable tourism from an interdisciplinary perspective. Full article

This study aims to investigate how urban residents interact with Urban Green Spaces (UGSs) in Nagpur, India, specifically focusing on the patterns of visitation and engagement. Data were collected via a face-to-face questionnaire survey using the Survey 123 app. The analysis included interaction (types of UGSs, visitation frequency, and UGS availability); engagement (activities); demographics (age, gender, and work status); and nature connection (self-reported) aspects. Using data from 2002 participants, the study employs statistical analyses using R software (4.3.2) to explore the correlations between these variables. The results revealed key factors influencing UGS usage, highlighting the interplay between environmental and social aspects. Neighborhood UGSs, proximity, and accessibility were found to be pivotal in promoting frequent visitation, while physical activity emerged as the most common activity among daily visitors. Older adults visited UGSs less frequently, suggesting potential barriers, while employed individuals visited more often. A strong association between nature connection and UGS interaction was highlighted, emphasizing the psychological and emotional aspects of UGS usage. For example, individuals who felt more connected to nature reported using UGSs for physical activities, mental relaxation, and socializing. These findings underscore the need for integrating UGSs within broader urban social-ecological systems, which means recognizing these spaces as vital components contributing to overall health and resilience and catering to the population’s diverse needs, ensuring that these spaces are accessible and enjoyable for all community members, including those from different cultural, age, and socioeconomic backgrounds. Additionally, fostering nature connectedness through education and exposure to natural environments is recommended to enhance UGS usage, supporting broader urban planning strategies to create sustainable and healthy urban environments. Full article

Amid urbanization, studying leaf functional traits of woody plants in urban environments is essential for understanding how urban green spaces function and how they can be effectively managed sustainably. In this study, we investigated the effects of different growing conditions on the morpho-physiological traits of Populus laurifolia and Ulmus pumila across five contrasting urban sites. The leaf area (LA), leaf length (LL), leaf width (LW), leaf biomass (LB), specific leaf area (SLA), leaf chlorophyll concentration, chlorophyll fluorescence parameters, leaf water potential at predawn (Ψ_pd) and midday (Ψ_md), leaf performance index (PI_abs), and phenotypic plasticity index (PPI) were compared across five contrasting urban sites. The soil chemical and physical properties were also compared between sites. There were significant differences in soil physicochemical characteristics between sites. We found significant effects of site on most of the morpho-physiological traits measured, except for Ψ_md. The leaf chlorophyll concentration of P. laurifolia and U. pumila varied significantly between sites. The Ψ_pd was significantly different between years and sites. In U. pumila, the mean PPI for morphological traits (0.20) was lower than that for physiological traits (0.21). In conclusion, we revealed significant variations in the morpho-physiological traits of P. laurifolia and U. pumila across the five urban sites. Hence, long-term, large-scale studies are recommended to examine how diverse species respond to different urban growing conditions and to include other ecologically important plant traits for a better understanding of urban trees in a changing environment. Full article

Background/Objectives: At present, a large number of bioactive peptides have been found from plant sources with potential applications for the prevention of chronic diseases. By promoting plant-derived bioactive peptides (PDBPs), we can reduce dependence on animals, reduce greenhouse gas emissions, and protect the ecological environment. Methods: In this review, we summarize recent advances in sustainably sourced PDBPs in terms of preparation methods, biological activity, structure–activity relationships, and their use in chronic diseases. Results: Firstly, the current preparation methods of PDBPs were summarized, and the advantages and disadvantages of enzymatic method and microbial fermentation method were introduced. Secondly, the biological activities of PDBPs that have been explored are summarized, including antioxidant, antibacterial, anticancer and antihypertensive activities. Finally, based on the biological activity, the structure–activity relationship of PDBPs and its application in chronic diseases were discussed. All these provide the foundation for the development of PDBPs. However, the study of PDBPs still has some limitations. Conclusions: Overall, PDBPs is a good candidate for the prevention and treatment of chronic diseases in humans. This work provides important information for exploring the source of PDBPs, optimizing its biological activity, and accurately designing functional foods or drugs. Full article

In recent years, the socio-economic development in the Tibet region of China has experienced substantial growth. However, transportation increasingly strains the region’s fragile ecological environment. Most studies overlook the accurate measurement and analysis of factors influencing traffic carbon emissions in Tibet due to data scarcity. To address this, this paper applies an improved traffic carbon emissions model, using transportation turnover data to estimate emissions in Tibet from 2008 to 2020. Simultaneously, the estimated traffic carbon emissions in Tibet served as the predicted variable, and various machine learning algorithms, including Radial Basis Function Support Vector Machine (RBF-SVM), eXtreme Gradient Boosting (XGBoost), Random Forest, and Gradient Boosting Decision Tree (GBDT) are employed to conduct an initial comparison of the constructed prediction models using three-fold cross-validation and multiple evaluation metrics. The best-performing model undergoes further optimization using Grid Search (GS) and Real-coded Genetic Algorithm (RGA). Finally, the central difference method and Local Interpretable Model-Agnostic Explanation (LIME) algorithm are used for local sensitivity and interpretability analyses on twelve core variables. The results assess each variable’s contribution to the model’s output, enabling a comprehensive analysis of their impact on Tibet’s traffic carbon emissions. The findings demonstrate a significant upward trend in Tibet’s traffic carbon emissions, with road transportation and civil aviation being the main contributors. The RBF-SVM algorithm is most suitable for predicting traffic carbon emissions in this region. After GS optimization, the model’s R² value exceeded 0.99, indicating high predictive accuracy and stability. Key factors influencing traffic carbon emissions in Tibet include civilian vehicle numbers, transportation land-use area, transportation output value, urban green coverage areas, per capita GDP, and built-up area. This paper provides a systematic framework and empirical support for measuring, predicting, and analyzing factors influencing traffic carbon emissions in Tibet. It employs innovative measurement methods, optimized machine learning models, and detailed sensitivity and interpretability analyses. The results can guide regional carbon reduction targets and promote green sustainable development. Full article

Given the conceptual confusion between resilience and sustainability in organizations in the literature, the present study examined the literature on the relationship between the two by reviewing the past 27 years of global literature on resilience and sustainability in organizations, to clarify the relationship between the two. It adapted the Integrated Systematic Literature Review technique (ISLR) to identify the most influential scholars in the knowledge domain of resilience and sustainability in organizations, uncover the intellectual structure that defines the knowledge base on resilience and sustainability in organizations, identify the most influential documents in the knowledge domain, derive the most interesting topics in the knowledge domain, and derive the cutting-edge body of knowledge on resilience and sustainability in organizations in response to the dynamic nature of resilience and sustainability problems. The findings reveal that Ivanov, Bansal, and Sarkis are the most influential scholars in the knowledge domain, and the most influential document was authored by Ortiz-de-Mandojana and Bansal. This study uncovers five schools of thought: sustainable business strategy, predictive analytics, sustainable supply chain, ecological resilience, and sustainable leadership. Informed by the analyses, a cutting-edge framework, comprising sustainability practices, sustainability outputs, and sustainability and resilience outcomes, was derived to guide future research and inform practitioners on how to ensure resilience and sustainability in their organizations. Full article

Enhancing farmers’ adoption of clean energy is crucial for promoting sustainable rural development and ecological environmental protection. It not only reduces the consumption of traditional fossil fuels, greenhouse gas emissions, and environmental pollution but also optimizes the structure of rural energy consumption, improves farmers’ quality of life, and supports the goal of building a green countryside. This paper investigates the impact of internet use on farmers’ adoption of clean energy and the associated peer effects, further exploring how internet use influences these peer effects. The analysis is based on data from the 2018 and 2020 waves of the China Family Panel Studies (CFPS). The study’s findings reveal that (1) farmers’ adoption of clean energy exhibits a significant peer effect, and internet use also has a significant positive impact on this adoption. Both the peer effect and internet use effectively enhance farmers’ clean energy utilization, a conclusion that holds even after robustness checks. (2) Internet use significantly strengthens the peer effect, particularly when it is used for social and entertainment purposes, where this reinforcing effect is most pronounced. (3) The peer effect, the impact of internet use on clean energy adoption, and the strengthening of the peer effect by internet use vary according to farmers’ geographical location and household income. These findings provide valuable insights and recommendations for improving policies aimed at promoting clean energy adoption among farmers, ultimately fostering its broader diffusion and application in rural areas. Full article

This study investigated the relatively unexplored topic of the collective memory of environmental disasters from a psychosocial perspective. To achieve this, we conducted an exploratory case study on the Vaia storm, which hit the Italian Alps in October 2018, causing significant social and ecological damage. We carried out thirteen in-depth semi-structured interviews with members of the enunciatory community of Vaia as follows: groups of people who either experienced the disaster firsthand, studied it, or had a particular interest in it. Through a thematic analysis of the interview transcripts, the four following key themes emerged that illustrate the forms taken by the collective memory of the disaster: (1) a sensory dimension; (2) an emotional dimension; (3) a narrative dimension; and (4) a material dimension. Our findings suggest a non-anthropocentric, hybrid understanding of collective memory, aligning with emerging concepts in the psychosocial literature on the emotional impacts of environmental disasters. We also advance potential future research questions at the intersection of memory studies, resilience, and sustainability and stress the practical implications of collective memory in fostering sustainable practices and enhancing climate resilience. Full article

Vegetation net primary productivity (NPP) is a key indicator for assessing vegetation dynamics and carbon cycle balance. Xinjiang is located in an arid and ecologically fragile region in northwest China, but the current understanding of vegetation dynamics in the region is still limited. This study aims to analyze Xinjiang’s NPP spatial and temporal trends, using random forest regression to quantify the extent to which climate change and human activities affect vegetation productivity. CMIP6 (Coupled Model Intercomparison Project Phase 6) climate scenario data help assess vegetation restoration potential and future risks. Our findings indicate that (1) Xinjiang’s NPP exhibits a significant increasing trend from 2001 to 2020, with three-quarters of the region experiencing an increase, 2.64% of the area showing significant decrease (p < 0.05), and the Ili River Basin showing a nonsignificant decreasing trend; (2) precipitation and radiation are major drivers of NPP variations, with contribution ratios of 35.13% and 30.17%, respectively; (3) noteworthy restoration potential exists on the Tian Shan northern slope and the Irtysh River Basin, where average restoration potentials surpass 80% relative to 2020, while the Ili River Basin has the highest future risk. This study explores the factors influencing the current vegetation dynamics in Xinjiang, aiming to provide references for vegetation restoration and future risk mitigation, thereby promoting sustainable ecological development in Xinjiang. Full article

The Ebinur Lake Basin (ELB), which is a typical watershed in an arid region, has an extremely delicate natural ecosystem. Rapid urbanisation and economic growth have triggered substantial ecological and environmental transformations in this key economic hub of Xinjiang. However, a comprehensive and systematic knowledge of the evolving ecological conditions in the ELB remains limited. Therefore, this study modelled the landscape ecological risk index (LERI) using land use/land cover (LULC) data from 1985 to 2022 and assessed the drivers of landscape ecological risk (LER) using a geographical detector model (GDM). The findings revealed that (1) from 1985 to 2022, the construction land, cropland, and forestland areas in the ELB increased, whereas those of water bodies, grasslands, and barren land decreased. (2) Between 1985 and 2022, LER in the ELB showed a downward trend. Spatially, LER was predominantly characterised by lower and lowest risk levels. The higher and highest risk status has been around Ebinur lake and has continued to improve each year. (3) Climatic factors, particularly temperature and precipitation, were identified as the most significant drivers of the LER change from 1985 to 2022. The findings provide crucial scientific knowledge for advancing sustainable development and maintaining ecological security in the ELB. Full article

The wild relatives of crops play a critical role in enhancing agricultural resilience and sustainability by contributing valuable traits for crop improvement. Shifts in climatic conditions and human activities threaten plant genetic resources for food and agriculture (PGRFA), jeopardizing contributions to future food production and security. Studies and inventories of the extant agrobiodiversity, in terms of numbers and distribution patterns of species and their genetic diversity, are primordial for developing effective and comprehensive conservation strategies. We conducted an ecogeographic study on Ipomoea species and assessed their diversity, distribution, and ecological preferences across different topographic, altitudinal, geographical, and climatic gradients, at a total of 450 sites across Mauritius. Species distribution maps overlaid with climatic data highlighted specific ecological distribution. Principal Component Analysis (PCA) revealed species distribution was influenced by geographical factors. Regional richness analyses indicated varying densities, with some species exhibiting localized distributions and specific ecological preferences while the other species showed diverse distribution patterns. Field surveys identified 14 species and 2 subspecies out of 21 species and 2 subspecies of Ipomoea reported in Mauritius. A gap in ex situ germplasm collections was observed and several species were identified as threatened. Further investigations and a more long-term monitoring effort to better guide conservation decisions are proposed. Full article