Search Results (3,538)

This research presents a comprehensive analysis of the spatial extent and temporal change in benthic habitats within the Puck Lagoon in the southern Baltic Sea, utilizing integrated machine learning classification and multi-sourced remote sensing. Object-based image analysis was integrated with Random Forest, Support Vector Machine, and K-Nearest Neighbors algorithms for benthic habitat classification based on airborne bathymetric LiDAR (ALB), multibeam echosounder (MBES), satellite bathymetry, and high-resolution aerial photography. Ground-truth data collected by 2023 field surveys were supplemented with long temporal datasets (2010–2023) for seagrass meadow analysis. Boruta feature selection showed that geomorphometric variables (aspect, slope, and terrain ruggedness index) and optical features (ALB intensity and spectral bands) were the most significant discriminators in each classification case. Binary classification models were more effective (93.3% accuracy in the presence/absence of Zostera marina) compared to advanced multi-class models (43.3% for EUNIS Level 4/5), which identified the inherent equilibrium between ecological complexity and map validity. Change detection between contemporary and 1957 habitat data revealed extensive Zostera marina loss, with 84.1–99.0% cover reduction across modeling frameworks. Seagrass coverage declined from 61.15% of the study area to just 9.70% or 0.63%, depending on the model. Seasonal mismatch may inflate loss estimates by 5–15%, but even adjusted values (70–94%) indicate severe ecosystem degradation. Spatial exchange components exhibited patterns of habitat change, whereas net losses in total were many orders of magnitude larger than any redistribution in space. These findings recorded the most severe seagrass habitat destruction ever described within Baltic Sea ecosystems and emphasize the imperative for conservation action at the landscape level. The methodology framework provides a reproducible model for analogous change detection analysis in shallow nearshore habitats, creating critical baselines to inform restoration planning and biodiversity conservation activities. It also demonstrated both the capabilities and limitations of automatic techniques for habitat monitoring. Full article

The Loess Plateau (China) is an ecologically fragile region where understanding the impact of forest naturalness on soil carbon content is critical for ecological restoration and enhancing carbon sequestration. This study investigates this relationship in the Cuiying Mountain area (Yuzhong County, Lanzhou City), a representative landscape of the semi-arid Loess Plateau. The Cuiying Mountain ecosystem is characterized by coniferous forests and Gray-cinnamon soils. We assessed forest naturalness using several key indicators: herb coverage, shrub coverage, tree biodiversity, and stand structural attributes. The results revealed a generally low level of forest naturalness at Cuiying Mountain. Although herb coverage was high, shrub coverage was minimal (2.1%), and tree biodiversity was low (Shannon index = 0.09). The stand structure was simple, characterized by considerable variation in individual tree sizes and a single canopy layer (mean mingling degree = 0.14). This structural simplicity aligns with the area’s history of plantation management. Furthermore, analysis of soil physicochemical properties and their relationship with plant diversity identified plant diversity as a significant factor influencing soil carbon content. The strongest correlation was observed between plant species number and topsoil organic carbon (r = 0.77), indicating a particularly pronounced effect of plant diversity on surface soil organic carbon. In summary, while forest naturalness at Cuiying Mountain is generally low, increased plant diversity enhances the accumulation of litter/root exudates and carbonates, suggesting that enhancing plant diversity is an effective strategy for increasing total soil carbon content. This study provides valuable insights for refining ecological restoration practices and strengthening the soil carbon sink function in forest ecosystems across the Loess Plateau and similar semi-arid regions. Full article

Soil aggregates are critical determinants of soil erosion resistance and nutrient retention capacity, while freeze–thaw cycles (FTCs) induce the structural reorganization of soil aggregates, thereby altering soil stability and influencing soil organic carbon (SOC) sequestration. This study was located in the Minjia River Basin in the typical seasonal freeze–thaw areas of the Loess Plateau and aimed to quantify the effects of FTCs on soil aggregate stability and SOC content under different land use types. Farmland, grassland, and forestland with more than 20 years of usage in the region were selected, and a 0–20 cm soil layer was subjected to seven FTCs (−8 °C to 20 °C), followed by wet and dry sieving classification, focusing on soil aggregate distribution, aggregate stability, mean weight diameter (MWD), geometric mean diameter (GMD), aggregate particle fractal dimension (APD), and SOC content of the aggregate. The results showed that soil aggregates in all land use types were dominated by macroaggregates (>2 mm), with the proportion in forestland (61–63%) > grassland (54–58%) > farmland (38–51%). FTCs enhanced aggregate stability across all land use types, especially in farmland. Concurrently, FTCs reduced the SOC content in all aggregate size fractions, with reduction rates ranging from farmland (9.00–21%) to grassland (4–26%) to forestland (5–31%). Notably, FTCs significantly increased the contribution of 2–5 mm water-stable (WS) aggregates to SOC sequestration, with increment rates of 86% (farmland), 80% (grassland), and 86% (forestland). Furthermore, FTCs altered the correlation between SOC content and aggregate stability. Specifically, the positive correlations of SOC with MWD and GMD were strengthened in aggregates < 0.5 mm but weakened in aggregates >0.5 mm. These findings advance our understanding of the coupled mechanisms underlying soil erosion and carbon cycling across land uses under freeze–thaw, providing a theoretical basis for ecosystem restoration and optimized soil carbon management in cold regions. Full article

Jinghe County, as a typical arid area unit in the Ebinur Lake Basin, has a fragile ecosystem background and prominent soil erosion problems which have posed a serious threat to regional ecological security. Therefore, this paper takes Jinghe County as the research area, sets up two scale landscape plots of 250 × 250 m and 500 × 500 m, and combines time-series remote sensing data to systematically analyze the correlation characteristics between landscape richness and ecosystem functions. The research results are as follows: (1) From 2008 to 2023, the landscape pattern of Jinghe County underwent phased changes, reflecting the dynamic response of the landscape ecosystem driven by natural disturbances, ecological restoration and human activities. (2) At the 250 × 250 m plot scale, landscape diversity has a stronger explanatory power for EVI_AVG, while under different spatial scale conditions, the impact of log(LR) on ecosystem productivity and phenological indicators shows significant differences. Overall, as the spatial scale increases, the positive effect of NE gradually strengthens, and its correlation with landscape patterns becomes more intimate. (3) At different sampling scales, there exist varying degrees of correlations between landscape pattern indices and environmental factors, as well as within the two types of indicators themselves. (4) The overall trend of ecological effects is consistent at different sampling scales, but there are local differences; in addition, scale changes can regulate the direction and significance level of the correlation of ecological processes. This study reveals the regulatory mechanism of landscape richness on ecosystem functions in Jinghe County at different spatial scales, providing a scientific basis for the optimization of landscape patterns in arid areas. Full article

Birds, as both wetland ecosystem health indicators and highly perceptible forms of wildlife, provide multi-sensory interaction opportunities shaping human health and well-being. However, most studies simplify birds into static landscape metrics, with limited attention to dynamic human–bird interactions and their mental health benefits. Grounded in landscape perception theory, this study constructs an “interaction–perception–restoration” framework and divides human–bird interactions into sensory, cognitive, and participatory levels based on cognitive resource investment. We collected 321 valid samples from Haizhu National Wetland Park. A mixed analytical strategy was adopted, using structural equation modeling to test the framework and moderated mediation models to examine differential pathways. The results showed the following: (1) Restorative environmental perception (REP) plays a partial mediating role between human–bird interactions and mental health, explaining 46.17% of the total effect. (2) All three interaction levels significantly enhance mental health, with cognitive interaction showing the strongest direct effect (β = 0.347 ***) and sensory interaction the largest indirect effect through REP (β = 0.194 ***). (3) Environmental characteristics directly improve REP (β = 0.51 ***) but do not significantly moderate the relationship between human–bird interactions and REP. This study highlights interaction quality and depth as core drivers of mental health, offering insights for optimizing ecological and recreational services in urban wetland parks. Full article

Türkiye’s forest governance exhibits a persistent policy–implementation gap rooted in a governance paradox: while the Ecosystem-Based Functional Planning (EBFP) system promotes ecological integrity and adaptive management, the foundational Forest Law No. 6831 (1956) still legitimizes extractive uses under a broad “public interest” doctrine. This contradiction has enabled 94,148 permits covering 654,833 ha of forest conversion, while marginalizing nearly seven million forest-dependent villagers from decision-making. The study applies a doctrinal and qualitative document-analysis approach, integrating legal, institutional, and socio-economic dimensions. It employs a comparative design with five EU transition countries—Poland, Romania, Bulgaria, Czechia, and Greece—selected for their shared post-socialist administrative legacies and diverse pathways of forest-governance reform. The analysis synthesizes legal norms, policy instruments, and institutional practices to identify drivers of reform inertia and regulatory capture. Findings reveal three interlinked failures: (1) institutional and ministerial conflicts that entrench centralized decision-making and weaken environmental oversight—illustrated by the fact that only 0.97% of Environmental Impact Assessments receive negative opinions; (2) economic and ecological losses, with foregone ecosystem-service values exceeding EUR 200 million annually and limited access to carbon markets; and (3) participatory deficits and social contestation, exemplified by local forest conflicts such as the Akbelen case. A comparative SWOT analysis indicates that Poland’s confrontational policy reforms triggered EU infringement penalties, Romania’s fragmented legal restitution fostered illegal logging networks, and Greece’s recent modernization offers lessons for gradual legal harmonization. Drawing on these insights, the paper recommends comprehensive Forest Law reform that integrates ecosystem-service valuation, climate adaptation, and transparent participatory mechanisms. Alignment with the EU Nature Restoration Regulation (2024/1991) and Biodiversity Strategy 2030 is proposed as a phased transition pathway for Türkiye’s candidate-country obligations. The study concludes that partial reforms reproduce systemic contradictions: bridging the policy–law divide requires confronting entrenched political-economy dynamics where state actors and extractive-industry interests remain institutionally intertwined. Full article

To mitigate the impacts of urbanisation and the attendant surface sealing, appropriate measures are required when adapting urban spaces and drainage infrastructure. In this context, the deployment of Sustainable Drainage Systems (SuDSs) has emerged as a viable alternative, delivering highly positive outcomes by enhancing hydrological, hydraulic and landscape performance while restoring ecosystem services to the community. This study evaluates the relative performance of five SuDS typologies, green roofs, bioretention cells, infiltration trenches, permeable pavements, and rain barrels, implemented in a 64 ha subbasin of the metropolitan area of Barcelona, Spain. Using Giswater integrated with the SWMM, the stormwater drainage network was modelled under multiple rainfall scenarios. Performance was assessed using two qualitative indicators, the junction index (I_j) and the conduit index (I_c), which measure surcharge levels in manholes and pipes, respectively. The results show that SuDS implementation affecting 42.8% of the drained area can enhance network performance by 35.6% and reduce flooded junctions by 67%. Among the typologies, rain barrels and bioretention cells were the most effective. The study concludes that SuDS construction, supported by open-source tools and performance-based indicators, constitutes a replicable and technically robust strategy for mitigating the effects of surface sealing and increasing urban resilience. Full article

Amid accelerating global warming, surface albedo is a key indicator and regulator of how Earth’s surface reflects solar radiation, directly affecting the planetary radiation balance and climate. In this paper, we combined MODIS shortwave albedo (MCD43A3, 500 m), MODIS NDVI (MOD13A3, 1 km; NDVI = normalized difference vegetation index) and 1-km gridded meteorological data to analyze the spatiotemporal variations of surface albedo across China during 2001–2020 at a gridded scale. Temporal trends were quantified with the Theil–Sen slope and the Mann–Kendall test, and the seasonal contributions of NDVI, air temperature, and precipitation were assessed with a geographically and temporally weighted regression (GTWR) model. China’s mean annual shortwave albedo was 0.186 and showed a significant decline. Attribution indicates NDVI is the dominant driver (~48% of total change), followed by temperature (~27%) and precipitation (~25%). Seasonally, NDVI explains ~43.94–52.02% of the variation, ~26.81–28.07% of the temperature, and ~21.17–28.57% of the precipitation. Clear spatial patterns emerge. In high-latitude and high-elevation snow-dominated regions, albedo tends to decrease with warmer conditions and increase with greater precipitation. In much of eastern China, albedo is generally positively associated with temperature and negatively with precipitation. NDVI—reflecting vegetation greenness and canopy structure—captures the effects of vegetation greening, canopy densification, and land-cover change that reduce surface reflectivity by enhancing shortwave absorption. Temperature and precipitation affect albedo primarily by regulating vegetation growth. This study goes beyond correlation mapping by combining robust trend detection (Theil–Sen + MK) with GTWR to resolve seasonally varying, non-stationary controls on albedo at 1-km over 20 years. By explicitly separating snow-covered and snow-free conditions, we quantify how NDVI, temperature, and precipitation contributions shift across climate zones and seasons, providing a reproducible, national-scale attribution that can inform ecosystem restoration and land-surface radiative management. Full article

 Modern biomedicine frequently contextualizes disease around isolated molecular or organ-specific mechanisms, but numerous chronic diseases, including Alzheimer’s disease, multiple sclerosis, depression, diabetes, and sepsis, share common trajectories of systemic destabilization. An increasing body of evidence indicates that health is not a property of single organs but the emergent property of interdependent feedback networks linking the microbiome, endocannabinoidome, neuroimmune system, and metabolic regulators. We propose the Endocannabinoid–Microbiota–Neuroimmune Super-System (EMN-S) as an evolutionarily conserved conceptual model that describes how these fields of influence reciprocally interact through feedback control. The microbial communities constituting the EMN-S encode environmental and dietary inputs, endocannabinoid signaling serves as an integrative regulator that synchronizes neural and immune activity, and neuroimmune circuits effectuate adaptive behaviors that alter microbiotal and lipid ecosystems. This review formalizes the EMN-S, contending that it is a unitary and cohesive model of physiological resilience, as well as offering a framework for precision feedback therapeutics. We describe how three mechanisms—encoder drift, integrator detuning, and executor overutilization—convert stabilizing negative feedback into runaway feedback cascades that underlie chronic, recurrent, and multisystemic disease. We then specify the EMN-S signature—integrated microbiome, lipidomic, and immune readouts—as an early indicator of resilience collapse and prospective preclinical state. Finally, we recapitulate the potential of AI-driven digital twins to illuminate feedback collapse, predict tipping points, and direct closed-loop intervention and treatments to restore dynamic equilibrium. By anchoring complexity in concrete and measurable feedback principles, the EMN-S shifts focus to investigate pathophysiology as opposed to reductionist lesion models of systemic derangements and embraces a systemic, empirically testable theory of stability.  Full article

Blue carbon ecosystems, particularly mangroves, seagrasses, and salt marshes, play a crucial role in climate regulation by capturing and storing huge stocks of carbon. Together with supporting fisheries production, protecting shorelines from erosion, and supplying timber and non-timber products to communities, blue carbon ecosystems offer investment opportunities through carbon markets, thus supporting climate change mitigation and sustainable livelihoods. The current study assessed above- and below-ground biomass, sediment carbon, and the capacity of the blue carbon ecosystems in Kwale and Lamu Counties, Kenya, to capture and store carbon. This was followed by mapping of hotspot areas of degradation and the identification of investment opportunities in blue carbon credits. Carbon densities in mangroves were estimated at 560.23 Mg C ha⁻¹ in Lamu and 526.34 Mg C ha⁻¹ in Kwale, with sediments accounting for more than 70% of the stored carbon. In seagrass ecosystems, carbon densities measured 171.65 Mg C ha⁻¹ in Lamu and 220.29 Mg C ha⁻¹ in Kwale, values that surpass the national average but are consistent with global figures. Mangrove cover is declining at 0.49% yr⁻¹ in Kwale and 0.16% yr⁻¹ in Lamu, while seagrass losses in Lamu are 0.67% yr⁻¹, with a 0.34% yr⁻¹ increase in Kwale. Under a business-as-usual scenario, mangrove loss over 30 years will result in emissions of 4.43 million tCO₂e in Kwale and 18.96 million tCO₂e in Lamu. Effective interventions could enhance carbon sequestration from 0.12 to 3.86 million tCO₂e in Kwale and 0.62 to 19.52 million tCO₂e in Lamu. At the same period, seagrass losses in Lamu would emit 5.21 million tCO₂e. With a conservative carbon price of 20 USD per tCO₂e, projected annual revenues from mangrove carbon credits amount to USD 3.59 million in both Lamu and Kwale, and USD 216,040 for seagrass carbon credits in Lamu. These findings highlight the substantial climate and financial benefits of investing in the restoration and protection of the two ecosystems. Full article

Peatlands are the most efficient terrestrial ecosystems for long-term carbon (C) storage. In Ireland, approximately 84% of raised bogs are degraded, contributing an estimated emission of 1.9 Mt C year⁻¹, nearly one-third of which originates from domestic peat extraction sites. Rewetting aims to reduce C emissions and restore sequestration capacity; however, immediate post-restoration effects remain poorly quantified. We investigated the short-term impact of rewetting on C fluxes over a 3-year period at a former domestic peat extraction site. CO₂ and CH₄ fluxes were measured across rewetted and adjacent unrestored areas with matched ecotopes (vegetation communities). Results show that rewetting led to substantial reductions in C emissions across all ecotopes. Compared to unrestored areas, the Sub-marginal and Facebank ecotopes had lower average annual C emissions by 0.88 and 0.74 t C ha⁻¹, respectively. In the cutover bog, rewetting reduced emissions in Eriophorum and Molinia ecotopes by 2.17 and 0.59 t C ha⁻¹ year⁻¹, respectively. This study demonstrates that rewetting led to immediate carbon reduction, and can deliver immediate climate mitigation benefits. Expanding restoration to include undesignated domestic extraction bogs offers a cost-effective strategy to reduce emissions from degraded peatlands in the near term. Full article

Eutrophication, driven by excessive nutrient inputs from agriculture, wastewater, and aquaculture, remains a pressing challenge for freshwater ecosystems. In response, the EU Nature Restoration Law (2024) sets ambitious targets for restoring degraded ecosystems, emphasizing the need for effective and scalable lake management strategies. In this study, we assessed current water quality in Lake Simnas (Lithuania) and applied dynamic modeling to evaluate two in-lake restoration scenarios: removing scum-forming cyanobacteria and harvesting emerged macrophytes. While both interventions reduced local biomass, neither led to substantial improvements in chlorophyll-a concentrations or total phosphorus levels. Macrophyte harvesting was particularly ineffective because of the low phosphorus content, limited spatial coverage, and slow growth. In contrast, simulations showed that a 50% reduction in external phosphorus inputs led to a significant improvement in water quality, including a 58% drop in mean TP and a 47% decrease in peak chlorophyll-a. These findings support prioritizing catchment-scale nutrient reduction over isolated biomass removal and highlight the importance of sustained monitoring and integrated management for restoring shallow eutrophic lakes. Full article

The specialization of tea gardens represents a significant pathway to enhancing the international competitiveness of agriculture. However, it may also disrupt the supply–demand balance of ecosystem services. This study addresses this gap by focusing on the specialized tea zone of Anxi as a case study. Using the InVEST model, we quantitatively assessed four key ecosystem services between 1990 and 2020: carbon storage, habitat quality, water yield, and soil conservation. The findings reveal that tea gardens perform relatively well in terms of carbon storage and habitat quality. However, their capacity for water conservation is limited, and soil conservation is highly susceptible to human disturbance. Dynamic transitions between tea gardens and forests have exerted considerable influence on changes in ecosystem services, with policies and practices aimed at converting tea plantations back to forest demonstrating a positive role in ecological restoration. Finally, guided by the principles of nature-based solutions, this study proposes targeted strategies to provide scientific support and practical references for sustainable development in specialized agricultural regions. Full article

The fragile ecosystem of desert and desertification-prone regions (D & DPRs) in China is highly sensitive to climate change, landuse intensification, and human interventions such as deforestation and overgrazing. In response, large-scale ecological restoration programs have been implemented over the past decades, yet their effect and cost-effectiveness remain insufficiently understood. Here, by applying multi-source remote sensing data, employing the Geodetector model, and developing a Return on Investment (RI) index, we established a framework to quantify the ecological restoration effect and assess the cost-effectiveness of the ecological restoration programs launched in China’s D & DPRs. The results indicated that a marked shift in ecosystem dynamics occurred in 1999. A comparison of the pre-restoration (1982–1998) and post-restoration (1999–2020) periods revealed that the restoration and degradation occur simultaneously, with the proportions increasing by 15.5% and 21%, respectively. Spatially, the identified ecological restoration effect was concentrated in the northern Loess Plateau, the northeastern Inner Mongolia Plateau, and the Hexi Corridor, which were strongly linked to population, land management strategies and infrastructural accessibility. However, the cost-effectiveness analysis revealed that higher levels of ecological investment did not necessarily lead to greater ecological restoration effect. Instead, restoration efficiency varied substantially across different ecological and socio-economic contexts. These findings suggest that ecological restoration in China’s D & DPRs is not a uniform process but is contingent on social-ecological characteristics and investment strategies. Our results emphasize the need for adaptive, region-specific approaches to optimize restoration efforts and ensure the sustainable management of China’s D & DPRs. Full article

Destinations such as Bali face intensifying overtourism, which undermines ecological integrity, cultural authenticity, and local livelihoods. Traditional sustainable tourism approaches have proven insufficient, leading to calls for regenerative tourism that restores ecosystems and strengthens communities. This study examines how Penta-Helix collaboration can drive regenerative tourism, mitigate overtourism, and deliver sustainability outcomes. A mixed-methods design was employed. Survey data from 220 domestic and international visitors were analyzed using structural equation modeling (SEM–PLS) to test relationships among Penta-Helix collaboration, regenerative tourism, overtourism mitigation, and sustainability outcomes. To complement these findings, an analytic hierarchy process (AHP) was conducted with 30–40 key stakeholders drawn from 100 informants (government, businesses, communities, academia, and media) to prioritize mitigation strategies. SEM–PLS results indicate that Penta-Helix collaboration significantly enhances regenerative tourism practices (β = 0.62), which strongly reduce overtourism impacts (β = 0.58). Mediation tests reveal that overtourism mitigation is a key mechanism linking regenerative tourism to triple bottom line outcomes (economic, socio-cultural, environmental). AHP results show that carrying capacity enforcement and participatory governance emerge as the top-priority strategies, underscoring the dual importance of institutional policy and community empowerment. The findings advance theoretical debates by positioning regenerative tourism as a systemic innovation enabled by networked governance and operationalized through overtourism mitigation strategies. Practically, the study highlights the need for policy enforcement, participatory governance, and adaptive destination management to embed regenerative principles in overtourism hotspots. Full article