Sustainable Ecosystem Research Articles

An Assessment of Vegetation Changes in the Three-River Headwaters Region, China: Integrating NDVI and Its Spatial Heterogeneity

Assessing vegetation changes in alpine arid and fragile ecosystems is imperative for informed ecological restoration initiatives and adaptive ecosystem management. Previous studies primarily employed the Normalized Difference Vegetation Index (NDVI) to reveal vegetation dynamics, ignoring the spatial heterogeneity alterations caused by bare soil. In this study, we used a comprehensive analysis of NDVI and its spatial heterogeneity to examine the vegetation changes across the Three-River Headwaters Region (TRHR) over the past two decades. A random forest model was used to elucidate the underlying causes of these changes. We found that between 2000 and 2022, 9.4% of the regions exhibited significant changes in both NDVI and its spatial heterogeneity. These regions were categorized into six distinct types of vegetation change: improving conditions (62.1%), regrowing conditions (11.0%), slight degradation (16.2%), medium degradation (8.4%), severe degradation (2.0%), and desertification (0.3%). In comparison with steppe regions, meadows showed a greater proportion of improved conditions and medium degradation, whereas steppes had more instances of regrowth and slight degradation. Climate variables are the dominant factors that caused vegetation changes, with contributions to NDVI and spatial heterogeneity reaching 68.9% and 73.2%, respectively. Temperature is the primary driver of vegetation dynamics across the different types of change, with a more pronounced impact in meadows. In severely degraded steppe and meadow regions, grazing intensity emerged as the predominant driver of NDVI change, with an importance value exceeding 0.50. Notably, as degradation progressed from slight to severe, the significance of this factor correspondingly increased. Our findings can provide effective information for guiding the implementation of ecological restoration projects and the sustainable management of alpine arid ecosystems.

Remote Sensing Mapping and Analysis of Spatiotemporal Patterns of Land Use and Cover Change in the Helong Region of the Loess Plateau Region (1986–2020)

Land use and cover change (LUCC) is directly linked to the sustainability of ecosystems and the long-term well-being of human society. The Helong Region in the Loess Plateau has become one of the areas most severely affected by soil and water erosion in China due to its unique geographical location and ecological environment. The long-term construction of terraces and orchards is one of the important measures for this region to combat soil erosion. Despite the important role that terraces and orchards play in this region, current studies on their extraction and understanding remain limited. For this reason, this study designed a land use classification system, including terraces and orchards, to reveal the patterns of LUCC and the effectiveness of ecological restoration projects in the area. Based on this system, this study utilized the Random Forest classification algorithm to create an annual land use and cover (LUC) dataset for the Helong Region that covers eight periods from 1986 to 2020, with a spatial resolution of 30 m. The validation results showed that the maps achieved an average overall accuracy of 87.54% and an average Kappa coefficient of 76.94%. This demonstrates the feasibility of the proposed design and land coverage mapping method in the study area. This study found that, from 1986 to 2020, there was a continuous increase in forest and grassland areas, a significant reduction in cropland and bare land areas, and a notable rise in impervious surface areas. We emphasized that the continuous growth of terraces and orchards was an important LUCC trend in the region. This growth was primarily attributed to the conversion of grasslands, croplands, and forests. This transformation not only reduced soil erosion but also enhanced economic efficiency. The products and insights provided in this study help us better understand the complexities of ecological recovery and land management.

Elevational patterns of soil organic carbon and its fractions in tropical seasonal rainforests in karst peak-cluster depression region.

Karst ecosystems, especially tropical karst forests, are crucial to the global carbon cycle. In mountainous and hilly areas, elevation-related changes in environment and vegetation often lead to shifts in the accumulation and decomposition of soil organic carbon (SOC). However, the elevational patterns and influencing variables of SOC and its fractions in tropical karst forest ecosystems remain largely unexplored. Here, we analyzed the elevational patterns of SOC and its fractions in the topsoil and subsoil in the tropical seasonal rainforests within typical peak-cluster depression region of Southwest China. Our results indicated that the SOC content was highest at 400 m asl, which was significantly higher than that at 200 m asl (p < 0.05). Overall, SOC content demonstrated an increasing trend with rising elevation. Additionally, SOC content was significantly higher in the topsoil compared to the subsoil (p < 0.05). The majority of SOC fractions exhibited an increase with elevation but decrease with soil depth. Notably, only water-soluble organic carbon (WSOC) displayed a decrease with elevation. Meanwhile, recalcitrant organic carbon (ROC, 54.27%), particulate organic carbon (POC, 30.19%), and easily oxidizable organic carbon (EOC, 16.95%) were the main SOC fractions. Labile organic carbon (LOC) in the karst forest soil was predominantly composed of EOC and POC. Correlation analysis unveiled significant positive correlations between SOC and certain fractions with elevation, soil total nitrogen, and exchangeable magnesium. Conversely, significant negative correlations were observed with soil bulk density (SBD), soil total phosphorus, and litter phosphorus (Litter P). Redundancy analysis indicated that elevation, SBD, and Litter P were the main environmental variables influencing shifts in SOC and its fractions. Structural equation models showed that SOC was primarily directly impacted by soil properties but indirectly impacted by elevation. ROC was mainly associated with the direct effects of soil properties and litterfall, although elevation exerted a substantial impact through indirect pathways. Moreover, LOC was predominantly influenced by the direct impact of soil properties. Therefore, this study demonstrates that SOC and its fractions are strongly influenced by elevation in karst peak-cluster depression regions and have important implications for forest management and sustainable ecosystem development in these regions.

Plant defence mechanism in honeydew-mediated plant-Hemiptera-ant interactions and ecosystem sustainability: a review

Plant defence mechanism in honeydew-mediated plant-Hemiptera-ant interactions and ecosystem sustainability: a review

Innovative Data Collection Methods for Advancing Coastal Management in Liberia

Effective coastal management is crucial for the sustainability of ecosystems and the livelihoods of communities that depend on coastal resources. In Liberia, current challenges such as outdated data collection methods, limited technological resources, and inadequate community engagement significantly hinder effective decision-making and coastal management efforts. This research explores innovative data collection methods, including remote sensing, crowdsourced data collection, swarm drones, and bioacoustic monitoring as potential solutions to these challenges. By integrating these technologies, Liberia can enhance data accuracy and cost-effectiveness while empowering local communities to actively participate in sustainable practices. The adoption of these methods will not only improve the management of coastal resources but also foster resilience against climate change and environmental degradation, paving the way for a sustainable future for Liberia’s coastal regions

Delineating Ecological Functional Zones and Grades for Multi-Scale Ecosystem Management

Integrating ecosystem services (ESs) to delineate ecological functional zones (EFZs) is fundamental in terrestrial spatial planning and ecosystem management. However, existing studies have largely overlooked the refinement of EFZs at local scales, which hinders targeted and multi-scale ecosystem management. This study introduced a “two-step refinement zoning method” to address this gap, first using a self-organizing feature mapping method to delineate EFZs at a township scale, and then applying a hotspot overlay analysis to refine the resulting EFZs by designating them with different grades at the village scale. The proposed method was applied in Wuhan City, dividing it into five types of EFZs with different ES combinations and land use compositions. Furthermore, 5.23% of villages were identified as level I areas of EFZs, serving as advantageous areas of dominant ESs in the study area. On this basis, diversified management strategies and conservation priorities were proposed. This study provides a theoretical and methodological reference for terrestrial spatial planning and sustainable ecosystem management.

Simulating runoff changes and evaluating under climate change using CMIP6 data and the optimal SWAT model: a case study

This study examines the influence of climate change on hydrological processes, particularly runoff, and how it affects managing water resources and ecosystem sustainability. It uses CMIP6 data to analyze changes in runoff patterns under different Shared Socioeconomic Pathways (SSP). This study also uses a Deep belief network (DBN) and a Modified Sparrow Search Optimizer (MSSO) to enhance the runoff forecasting capabilities of the SWAT model. DBN can learn complex patterns in the data and improve the accuracy of runoff forecasting. The meta-heuristic algorithm optimizes the models through iterative search processes and finds the optimal parameter configuration in the SWAT model. The Optimal SWAT Model accurately predicts runoff patterns, with high precision in capturing variability, a strong connection between projected and actual data, and minimal inaccuracy in its predictions, as indicated by an ENS score of 0.7152 and an R2 coefficient of determination of 0.8012. The outcomes of the forecasts illustrated that the runoff will decrease in the coming years, which could threaten the water source. Therefore, managers should manage water resources with awareness of these conditions.

A Twin Transition in Regulatory Toxicology-moving towards Chemicals 2.0 and phasing out animal testing.

The European regulatory framework on chemicals is at a crossroads. There are calls for the framework to be more effective, by better protecting people and the environment. There is also room for it to be more efficient and cost-effective, by harmonising assessment practices across sectors and avoiding the need for unnecessary testing. At the same time, there is a political commitment to phase out animal testing in chemical safety assessments. In this commentary, we argue that these needs are not at odds with other. On the contrary, the roadmap to phase out animal testing could also be the transition pathway to a more efficient, effective and sustainable regulatory ecosystem. Central to our proposal is a framework based on biological reasoning in which biological questions can be answered by a choice of methods, with non-animal methods progressively becoming the only choice. Within this framework, a tiered approach to testing and assessment allows for greater efficiency and effectiveness, while also introducing considerations of proportionality and cost-effectiveness. Testing strategies, and their component methods, should be developed in tandem and judged in terms of their outcomes, the protection levels they inform, rather than their ability to predict the outputs of animal tests.

Mapping, Distribution, Function, and High-Throughput Methodological Strategies for Soil Microbial Communities in the Agroecosystem in the Last Decades

The intricate interplay between SMCs and agroecosystems has garnered substantial attention in recent decades due to its profound implications for agricultural productivity, ecosystem sustainability, and environmental health. Understanding the distribution of SMCs is complemented by investigations into their functional roles within agroecosystems. Soil microbes play pivotal roles in nutrient cycling, organic matter decomposition, disease suppression, and plant‒microbe interactions, profoundly influencing soil fertility, crop productivity, and ecosystem resilience. Elucidating the functional diversity and metabolic potential of SMCs is crucial for designing sustainable agricultural practices that harness the beneficial functions of soil microbes while minimizing detrimental impacts on ecosystem services. Various molecular techniques, such as next-generation sequencing and high-throughput sequencing, have facilitated the elucidation of microbial community structures and dynamics at different spatial scales. These efforts have revealed the influence of factors such as soil type, land management practices, climate, and land use change on microbial community composition and diversity. Advances in high-throughput methodological strategies have revolutionized our ability to characterize SMCs comprehensively and efficiently. These include amplicon sequencing, metagenomics, metatranscriptomics, and metaproteomics, which provide insights into microbial taxonomic composition, functional potential, gene expression, and protein profiles. The integration of multiomics approaches allows for a more holistic understanding of the complex interactions within SMCs and their responses to environmental perturbations. In conclusion, this review highlights the significant progress made in mapping, understanding the distribution, elucidating the functions, and employing high-throughput methodological strategies to study SMCs in agroecosystems.

A biochar-based amendment improved cadmium (Cd) immobilization, reduced its bioaccumulation, and increased rice yield

Cadmium (Cd) contamination of soil threatens human health, food security, and ecosystem sustainability. The in situ stabilization of Cd has been recognized as a potentially economical technology for the remediation of Cd-contaminated soil. Recently, biochar (BC) and activated carbon (AC) have received widespread attention as eco-friendly soil amendments that are more beneficial for plant growth, soil health, and remediation of contaminated soil. An experiment was performed in a paddy field to investigate the effects of two different types of BC (maize straw biochar and bamboo biochar) and AC (coconut shell activated carbon) in combination with rape organic fertilizer (R), calcium magnesium phosphate fertilizer (P), and fulvic acid (F), respectively, on soil Cd immobilization, Cd accumulation in rice, and yield. The results indicated that the BC/AC-based amendments reduced soil bioavailable Cd (DTPA-Cd) and brown rice Cd by 9.58%–27.06% and 19.30%–71.77%, respectively. The transformation of exchangeable Cd (Ex-Cd) to carbonate-bound Cd (Ca-Cd), Fe-Mn oxide bond (Ox-Cd), and residual (Re-Cd) in soil accounted for the mitigation of Cd uptake and enrichment by rice. Additionally, BC-/AC-based amendments altered soil physicochemical properties, which significantly increased the soil pH and cation exchange capacity (CEC), total nitrogen (TN), total phosphorus (TP), soil organic carbon (SOC), and dissolved organic carbon (DOC), directly promoting soil health. All BC-/AC-based amendments significantly increased FeIMP and MnIMP concentrations by 47.31%–160.34% and 25.72%–73.09% in the Fe/Mn plaque (IMP), respectively. Maize straw and bamboo biochar-based amendments significantly increased rice yield by 10.46%–20.41% and 9.94%–16.17%, respectively, while coconut shell-activated carbon severely reduced rice yield by 65.06%–77.14%. The correlation analysis revealed that leaf Cd and IMP primarily controlled Cd uptake by rice, and soil pH, Eh, CEC, SOC, IMP, and TP influenced DTPA-Cd in soil. This field study demonstrated that maize straw and bamboo biochar-based amendments not only reduced soil DTPA-Cd in paddy fields but also decreased the accumulation of Cd in brown rice, as well as improved rice yield, which has potential application in Cd-contaminated agriculture fields. Coconut shell-activated carbon severely decreased rice yields, which is not appropriate for rice production.

Managing Ethical Challenges in Social Enterprises

This paper aims to conduct an in-depth analysis of ethical issues faced by social enterprises operating in Kenya by examining the nature and complexity of these challenges. Furthermore, the research aims to explore strategies put in place by these social enterprises to promote ethical practices in their operations and discourage unethicality. This research used a qualitative approach to examine ethical issues in Kenya’s social enterprises. Semi-structured interviews with nine social enterprise leaders in Kenya were conducted. The paper provides empirical findings on the ethical issues that social enterprises in Kenya face and the strategies they have instituted to manage these ethical issues. Findings show that the ethical issues encountered are donor dependence, stakeholder interference, people management, cultural inclusivity and sensitivity, bribery, conflict of interest, transparency and accountability, and legal processes. Measures for handling ethical issues in social enterprises include attaining financial independence and sustainability, compliance with the law, promoting community relationships and engagement, and promoting transparency and accountability. The methods used to collect data may present issues like generalizability due to the sample size for the social enterprise leaders. The paper contributes to building a more ethical and sustainable social enterprise ecosystem in Kenya by identifying and addressing ethical concerns. Furthermore, identifying ethical issues can guide regulators and policymakers in creating guiding frameworks and powerful brand images, developing “brand ambassadors,” and managing the balance between stability and change.

Hydrogeophysical mapping of paleochannels for water security in Bhawanigarh Block, District Sangrur, Punjab, India

Paleochannels, ancient buried riverbeds, offer significant potential for groundwater management and contribute to achieving the Sustainable Development Goals (SDGs), particularly those focused on clean water (SDG 6) and sustainable ecosystems (SDG 15). These channels, formed when rivers change course due to natural processes or human activities, become filled with loose, permeable sediments like sand and gravel, making them natural reservoirs capable of storing large volumes of groundwater. This characteristic makes paleochannels invaluable for enhancing water security in arid and semi-arid regions.The present study, conducted in the Bhawanigarh block of Sangrur District, Punjab, focuses on mapping paleochannels for Managed Aquifer Recharge (MAR) using Electrical Resistivity Survey techniques. A total of 37 Vertical Electrical Soundings (VES) were performed with a Computerized Resistivity Meter, and the findings were validated using well-logging, exploration data, historical aerial photographs, and satellite imagery. Identifying and mapping these paleochannels enable targeted groundwater recharge efforts, enhancing the sustainable management of water resources.By strategically utilizing paleochannels for artificial recharge, excess surface water can be directed into these hidden reservoirs, effectively replenishing groundwater supplies. This approach supports agricultural and drinking water needs and strengthens resilience against climate change impacts, aligning with SDG 13 (Climate Action). Moreover, the careful management of these ancient channels promotes the sustainable use of natural resources, contributing to the overall goals of environmental sustainability and water security outlined in the SDGs.

Assessment of mangrove health based on pressure–state–response framework in Guangxi Beibu Gulf, China

Mangroves, primarily found along tropical and subtropical coastlines, are crucial ecosystems that offer significant ecological services, including coastal protection, carbon sequestration, and biodiversity support. However, these ecosystems are under severe threat from human activities such as aquaculture, agriculture, and urban development, leading to deforestation and degradation. This study aims to develop a comprehensive framework for assessing the health of mangrove ecosystems using the Pressure-State-Response (PSR) model with annual temporal resolution from 2019 to 2023. It consists of three dimensions: Pressure (human activities and natural factors affecting the ecosystem), State (current condition of the ecosystem), and Response (efforts to mitigate adverse effects and restore health). This study incorporates innovative physical and structural parameters alongside traditional indicators to improve the accuracy of the assessment. The method offers advantages such as ease of measurement, low cost, early warning capabilities for ecosystem damage, and high sensitivity to ecological changes. It provides valuable insights for decision-makers and enhances the ability to detect trends in mangrove health over time through a large-scale, multi-temporal analysis. Using remote sensing techniques and the Analytic Hierarchy Process (AHP), we identified 12 key indicators. The AHP method was used to determine the weight of each indicator, achieving a consistency ratio (CR) of less than 0.1, which ensures the reliability of the assessment. The evaluation included calculating and analysing the Comprehensive Health Index (CHI), Pressure (PHI), State (SHI), and Response (RHI) health indices. Results indicated that the mangrove ecosystems in the Beibu Gulf region were “healthy” state by 2019 through 2022. However, in 2023, the health status declined to “relatively healthy,” indicating a downward trend. In conclusion, this study presents a robust framework for assessing mangrove ecosystem health using the PSR model. The findings underscore the urgent need for conservation efforts to reverse the declining health trend and ensure the long-term sustainability of mangrove ecosystems in the Beibu Gulf.

Unveiling the Subterranean Heritage: A Case Study of the Underground City of Kukës, Albania

Abstract This paper investigates the viability of conserving and repurposing Kukës’ underground city, which was built as a system of civil defence tunnels during the communist era in Albania. Beneath contemporary Kukës, the underground complex, which houses administrative offices and hospitals, is an important but underutilized historical and architectural asset. This study assesses the architectural elements, historical value, and present state of the tunnels using an extensive methodology that includes expert interviews, public consultations, on-site inspections, and archival research. Results highlight the site’s dual significance as a historical landmark and a possible center for innovation and tourism. The research offers strategic proposals for reviving the tunnels to strengthen the local economy, maintain cultural identity, and increase tourist attraction, drawing on foreign case studies. By promoting the inclusion of Kukës’ underground city in larger regional development projects and considering both community goals and pragmatic concerns, the article adds to the current conversations in urban planning and cultural preservation. Sustaining and repurposing Kukës’ underground city has various benefits, including enhanced cultural tourism and economic resurgence that encourage sustainable growth, the paper points out. Still, challenges like deteriorating infrastructure, security concerns, and accessibility issues must be overcome. Urban planners and politicians can apply the research’s practical implications by using it to develop a model for cultural preservation that aligns with modern social and economic goals. A sense of shared identity and legacy among the local community’s members is fostered by the initiative, which has significant social implications as well. The study has some drawbacks, including the need for significant funding and the potential for opposition from groups who do not recognize the advantages of these kinds of initiatives. To summarise, this research highlights the potential of adaptive reuse to bolster the sustainability and resilience of urban ecosystems by offering useful guidance and strategies that may be used to comparable initiatives worldwide.

Preface

Technologies and Materials for Renewable Energy, Environment and Sustainability TMREES Conference Series Tmrees24Gr International Conference 08 - 09 - 10 July 2024, Hybrid, Metz – France TMREES Conference Series: Technologies and Materials for Renewable Energy, Environment and Sustainability aims to promote sustainable, healthy and diverse ecosystems; encourage and support the Sustainability and development of security systems through green-based and clean resources, bringing together participants from international organizations, universities, industry and administrative to exchange innovative ideas, explore enabling technologies, share experiences in sustainability issues, open a new window on the circumstances of the classical energy sources and their harmful impact on the society. Meet the experts of Renewable Energy, Environment and Sustainability to discuss new concepts, trends and developments in science and industry. The TMREES provides a great opportunity for dialogue and information exchange across the World. The TMREES program is structured in plenary, oral and poster presentations and covers the entire range of Energy Sources, Environment and Sustainability, focusing on the latest scientific and technological innovations. Chafic Salamé, Professor Maya Julian, Doctor Tmrees general chair European Academy for Sustainable Development EURACA, 57-France Decree 818559064 List of Topics and Special Themes, Committees are available in this pdf.

Enhancing soil quality for sustainable agricultural practices in Subak rice fields

Understanding the soil quality of Subak rice fields in Bali is crucial for maintaining agricultural sustainability. This study aimed to explore aspects of soil quality, identify limiting factors, and offer guidance on sustainable land management. Utilizing survey methods, laboratory analysis, and soil quality determination, soil samples were selectively collected from each land unit (LU). LU selection was based on overlays of Subak zonation, soil type, slopes, rainfall, and elevation using Geographic Information System (GIS) techniques. Key soil quality indicators were assessed, including bulk density, texture, porosity, moisture content, pH, organic carbon, cation exchange capacity, base saturation, and nutrients (N, P, K). Overall, soil quality in the study area is classified as good in all LUs, but with significant variations in Soil Quality Index (SQI) values, suggesting the need for tailored management recommendations. Limiting factors include soil texture, organic carbon content, total nitrogen, available phosphorus, and biomass C. Recommended soil management practices include single plow tillage and the application of manure, urea, and SP-36 fertilizer on paddy fields. This approach aims to enhance land productivity sustainably while upholding environmental conservation and the principles of Subak, which have historically maintained a balanced and sustainable agricultural ecosystem.

Are Wild Prey Sufficient for the Top Predators in the Lowland Protected Areas of Nepal?

A balanced equilibrium between carnivores and their prey is crucial for maintaining ecosystem sustainability. In this study, we applied the predator-prey power law equation to assess the balance between the biomass densities of carnivores and their wild prey within Nepal's lowland protected areas during 2013, 2018, and 2022. The estimated value of the power law exponent k for predator-prey biomass was 0.71 (95% CI = 0.39-1.05), indicating an approximate threefold increase in predator biomass density for every fivefold increase in prey biomass density. Consequently, this creates a systematically bottom-heavy predator-prey biomass pyramid. This finding, consistent with the k = 3/4 trophic biomass scaling across ecosystems, suggests that predator biomass is proportionally sustained by prey biomass, indicating a balance between top predators and their wild prey in Nepal's lowland protected areas. We further demonstrated it is possible to retain the overall power law exponent while jointly measuring intraguild competition between two predators with canonical correlation analysis. This understanding opens avenues for future research directed toward unraveling the factors that drive these consistent growth patterns in ecological communities.

Investigating the function of mangrove mycorrhizal fungi with special emphasis on arbuscular mycorrhizae (AMF) symbiosis in promoting ecosystem health and sustainability

Investigating the function of mangrove mycorrhizal fungi with special emphasis on arbuscular mycorrhizae (AMF) symbiosis in promoting ecosystem health and sustainability

Vegetation Restoration Increases the Drought Risk on the Loess Plateau.

The extensive implementation of the 'Grain for Green' project over the Loess Plateau has improved environmental quality. However, it has resulted in a greater consumption of soil water, and its overall hydrological effects remain highly controversial. Our study utilized a coupled land-atmosphere model to evaluate the effects of vegetation changes resulting from revegetation or reclamation on the hydrology of the Loess Plateau. Revegetation was found to stimulate an increase in precipitation, evapotranspiration, and atmospheric water content. However, the increase in precipitation was insufficient to compensate for soil water loss driven by intensified evapotranspiration, resulting in a decrease in both runoff and soil water content. In contrast to revegetation, reclamation would reduce precipitation, although the reduction was less than the decrease in evapotranspiration. This could lead to an increase in both runoff and soil water content. The results provide an important scientific basis for the hydrological effects of vegetation changes on the Loess Plateau, which is particularly important for guiding current and future revegetation activities toward sustainable ecosystem development and water resources management.

Significant implications of diversity and stability for ecosystem sustainability necessitate differentiated management strategies: A case study of the urban agglomeration around Hangzhou Bay, China (JEMA-D-24-12476R1)

Ecosystems are crucial for providing essential services, supporting ecological conservation, and promoting sustainable development on both regional and global scales. However, robust methodologies and comprehensive frameworks for assessing ecosystem sustainability are still lacking. This study presents an integrated framework that incorporates both diversity and stability in evaluating ecosystem sustainability. Our methodology involves a multi-step process: first, we select and integrate landscape metrics to quantify ecosystem diversity; second, we establish an ecological network and apply a robustness model to assess ecosystem stability; finally, we delineate zones of ecosystem sustainability based on the combined assessments of diversity and stability. Our findings reveal that (1) from 1995 to 2020, ecosystem diversity significantly increased within the urban agglomeration around Hangzhou Bay (UAHB), with notable regional patterns, particularly in Huzhou, Jiaxing, and Ningbo. (2) The structure and connectivity of the ecological network have markedly improved, with network robustness in 2020 surpassing that of 1995, indicating enhanced ecosystem stability. (3) Five distinct ecological zones were identified—high sustainability protected areas, ecosystem stability improving areas, low sustainability fragile areas, ecosystem diversity improving areas, and moderate sustainability transition areas—each accompanied by specific management strategies. This research offers theoretical insights and practical guidance for ecological protection and restoration, advancing sustainable ecosystem development.