Search Results (81)

As urbanization accelerates and climate change intensifies, the ecological integrity of urban riparian forests faces growing threats, underscoring the need for a systematic framework to guide their sustainable management. To address this gap, we developed a causal framework by applying text mining and sentence classification to 1001 abstracts from previous studies, structured within the DPSIR (Driver–Pressure–State–Impact–Response) model. The analysis identified six dominant thematic clusters—water quality, ecosystem services, basin and land use management, climate-related stressors, anthropogenic impacts, and greenhouse gas emissions—which reflect the multifaceted concerns surrounding urban riparian forest research. These themes were synthesized into a structured causal model that illustrates how urbanization, land use, and pollution contribute to ecological degradation, while also suggesting potential restoration pathways. To validate its applicability, the framework was applied to four major urban streams in Seoul, where indicator-based analysis and correlation mapping revealed meaningful linkages among urban drivers, biodiversity, air quality, and civic engagement. Ultimately, by integrating large-scale text mining with causal inference modeling, this study offers a transferable approach to support adaptive planning and evidence-based decision-making under the uncertainties posed by climate change. Full article

Ulmus glabra Huds. is a mesophilic, montane broadleaf tree with high ecological value, commonly found in temperate riparian and floodplain forests across Türkiye. Its populations in Türkiye have declined due to anthropogenic disturbances and climatic pressures that cause habitat fragmentation and threaten the species’ long-term survival. In this research, we used Maximum Entropy (MaxEnt) to build species distribution models (SDMs) and applied the Restoration Planner (RP) tool to identify and prioritize critical restoration sites under both current and projected climate scenarios (SSP245, SSP370, SSP585). The SDMs highlighted areas of high suitability, primarily along the Black Sea coast. Future projections show that habitat fragmentation and shifts in suitable areas are expected to worsen. To systematically compare restoration options across different future scenarios, we derived and applied four spatial network status indicators using the RP tool. Specifically, we calculated Restoration Pixels (REST_PIX), Average Distance of Restoration Pixels from the Network (AVDIST_RP), Change in Equivalent Connected Area (ΔECA), and Restoration Efficiency (EFFIC) using the RP tool. For the 1 <-> 2 restoration pathways, the highest efficiency (EFFIC = 38.17) was recorded under present climate conditions. However, the largest improvement in connectivity (ΔECA = 60,775.62) was found in the 4 <-> 5 pathway under the SSP585 scenario, though this required substantial restoration effort (REST_PIX = 385). Temporal analysis noted that the restoration action will have most effectiveness between 2040 and 2080, while between 2081 and 2100, increased habitat fragmentation can severely undermine ecological connectivity. The result indicates that incorporation of habitat suitability modeling into restoration planning can help to design cost-effective restoration actions for degraded land. Moreover, the approach used herein provides a reproducible framework for the enhancement of species sustainability and habitat connectivity under varying climate conditions. Full article

The United Kingdom has a low percentage cover of woodland, which exists in small, highly fragmented patches. Plans to increase the cover from 14.5% to 17.5% by 2050 will require guidance to help target the planting of new forests to maximise ecological connectivity. This study develops a novel approach to landscape simulation utilising real-world spatial boundary data. The Colne Valley river watershed is chosen as a study site. Three different future woodland creation goals (+10, 30, and 50%) are tested alongside manipulations of the mean new patch size and the mode in which new woodland is created in relation to existing woodland. Scenarios which expanded existing woodland and used riparian planting created larger, more connected patches with more core area. The model outputs are used to assess the impact of the UK woodland increase plans, and past woodland creation efforts are assessed. Increasing the percentage cover generally boosted connectivity, functional connectivity (species dispersals), and increased patch size and core area index. We suggest that proximal growth offers the greatest benefits in terms of biodiversity, but in terms of habitat connectivity smaller isolated woodland patches may also be needed as stepping stones to aid dispersal. Full article

Riparian forests are usually situated between terrestrial and aquatic systems. They play an essential role in the health of the environment and in providing complex ecosystem services. This is especially essential in arid and semi-arid regions. However, despite these facts, riparian ecosystems are underexplored in the specialty literature. As such, the purpose of this study is to address this gap by synthesizing the current knowledge about riparian forests, using both a bibliometric analysis and a qualitative literature approach. This analysis allowed us to identify six main ecosystem services provided by riparian forests: biodiversity support, carbon sequestration, water quality regulation, slope stability, pollution mitigation, and sociocultural benefits. Furthermore, we have emphasized local challenges (deforestation, agricultural expansion, a lack of policies). Connecting ecological knowledge with a socio-cultural context is the first step in creating a strong foundation for the adequate management of these essential ecosystems, while also supporting their conservation, development and climate resilience. Full article

This study assessed the water quality and ecological integrity of the Columbe River micro-watershed in the Ecuadorian Andes through a multidimensional approach incorporating biotic, physicochemical, and structural indices. Indices such as the Andean Biotic Index (ABI), Biological Monitoring Working Party index adapted for Colombian conditions (BMWP-Col), Fluvial Habitat Index (IHF), Riparian Quality Index adapted for Andean conditions (QBR-And), and Water Quality Index (WQI) characterized environmental quality gradients and evaluated the impact of human activities across 11 monitoring sites. Hierarchical cluster analysis classified sampling sites into three groups: less polluted (LP), moderately polluted (MP), and highly polluted (HP). HP sites showed elevated levels of biochemical oxygen demand (BOD₅), chemical oxygen demand (COD), electrical conductivity (EC), and turbidity, alongside low biotic and structural scores, indicating advanced ecological degradation. Conversely, LP sites demonstrated greater ecological integrity, despite elevated BOD₅ and COD levels across the watershed, suggesting widespread diffuse contamination. The findings identify anthropogenic activities such as livestock, agriculture, and domestic discharges as major pressures on water quality and macroinvertebrate biodiversity. Significant correlations between physicochemical parameters—including BOD₅ and EC—and declining biotic indices underscore the link between chemical water degradation and ecological fragmentation. In this context, this study highlights the critical need for comprehensive management and restoration strategies to combat pollution, safeguard relatively pristine areas, and rehabilitate the ecological integrity and connectivity of high-altitude Andean aquatic ecosystems under anthropogenic pressure. Full article

Hydropower development is rapidly expanding in biodiversity-rich regions like the Ecuadorian Andes, raising major concerns about its ecological impacts. This study evaluates fish species composition and habitat characteristics in the Cristal and Dulcepamba Rivers, with a particular focus on the effects of the San José del Tambo Hydroelectric Project on the Dulcepamba River. Sampling conducted during the dry season (November–December 2023) at 15 sites incorporated fish surveys, habitat analyses, and environmental quality evaluation. The results showed marked declines in fish abundance, richness, and diversity in sections of the Dulcepamba River directly affected by water diversions, with species richness reduced to only three species at a site most impacted by discharge reduction. Conversely, the Cristal River, with its unaltered hydrology, supported considerably greater diversity, including 12 species at one site. Environmental integrity indices (Andean–Amazon Biotic Index, Biological Monitoring Working Party Index, Andean Riparian Quality Index, and Fluvial Habitat Index) further underscored the Cristal River’s superior conservation status. In the Dulcepamba River, reduced discharge in the environmental flow of the Hydroelectric Project—below mandated environmental discharge levels—led to river drying, disrupted connectivity, and impaired fish migration. This study provides essential insights into these highly biodiverse yet poorly studied ecosystems, which are increasingly threatened by anthropogenic pressures. The findings highlight the critical need to reconcile energy development with conservation efforts in these vulnerable Andean environments. Full article

Many strategies and directives are starting to address the importance of an appropriate landscape for agricultural biodiversity, such as pollinators and auxiliary fauna. Therefore, it is necessary to identify which landscape features are more important for agricultural biodiversity conservation and the ecosystem services they offer, like pollination and pest control. Thus, the main objective of this study was to assess the effect of landscape composition, configuration, connectivity, and crop border vegetation on arthropod diversity. The arthropod community was sampled in eight legume crops located across a gradient of landscape complexity. Additionally, the border vegetation of each plot was characterized, and the surrounding landscape was analyzed at a small and a large scale. For the statistical analysis, Generalized Linear Mix Models and redundancy analyses were applied. Pollinators were positively affected mainly by landscape connectivity. Pest control agents were less influenced by the landscape and only before harvest were they positively affected by riparian forests. Finally, phytophagous arthropod richness increased with border vegetation diversity and cropland in the surroundings. In conclusion, in the leguminous crops of Araba landscape connectivity together with cropland extension in the surroundings should be considered to promote ES-offering fauna diversity. Full article

The seasonality of floods is a key factor affecting riparian agriculture. Flood season staging is the main means of identifying the seasonality of floods. In the process of staging the flood season, set pair analysis is a widely used method. However, the set pair analysis method (SPAM) cannot take into account the differences in and volatility of the staging indicators, and at the same time, the SPAM cannot provide corresponding staging schemes according to different scenarios. To address these problems, the improved set pair analysis method (ISPAM) is proposed. Kernel density estimation (KDE) is used to calculate the interval of the staging indicators to express their volatility. Based on the interval theory, the deviation method is improved, and the weights of the staging indicators are calculated to reflect the differences in different staging indicators. The theoretical correlation coefficient can be calculated by combining the weights and interval indicators and fitting the empirical connection coefficient corresponding to each time period. Finally, the ISPAM is established under different confidence levels to derive staging schemes under different scenarios. Based on the daily average precipitation flow data from 1961 to 2022 in the Nandujiang middle basin and surrounding areas in tropical island regions, the staging effect of the ISPAM was verified and compared using the SPAM, Fisher optimal segmentation method, and improved set pair analysis method without considering differences in the indicator weights (ISPAM-WCDIIW), and the improved set pair analysis method without considering indicator fluctuations (ISPAM-WCIF). According to the evaluation results from the silhouette coefficient method, it can be concluded that compared with the SPAM and ISPAM-WCIF, the ISPAM provided the optimal staging scheme for 100% of the years in the test set (2011–2022). Compared with the Fisher optimal segmentation method, the optimal staging scheme for more than 83% of the years (2011, 2013–2015, and 2017–2022) in the test set was provided by the ISPAM. Although the ISPAM-WCDIIW, like the ISPAM, can provide optimal staging schemes, the ISPAM-WCDIIW could not provide an exact staging scheme for more than 55% of the scenarios (the ISPAM-WCDIIW could not provide an exact staging scheme in scenarios (0.7, 0.6), (0.8, 0.6), (0.8, 0.9), (0.95, 0.6), and (0.95, 0.8)). The results show that the ISPAM model is more reasonable and credible compared with the SPAM, Fisher optimal segmentation method, ISPAM-WCDIIW, and ISPAM-WCIF. The purpose of this study is to provide a reference for flood season staging research during flood seasons. Full article

This paper aims to propose a method for the evaluation of the hydromorphological quality of a river and its riparian areas using three essential components: morphological characterization, river connectivity, and vegetation coverage. The method has been applied to the Tordera river in Catalonia, Spain. The general goal is to establish a riparian environment assessment tool by proposing parameters for each of the three mentioned aspects. This approach relies on data collection and evaluation with a simple computational procedure for eliminating subjectivity in the weighting and classification of evaluation levels. In the proposed methodology, the weights of the indicators are determined by the Distance Correlation-Based CRITIC (D-CRITIC) method, and the results are integrated using the Coupling Coordination Degree Model (CCDM). The proposed methodology quantifies assessment parameters and analyzes the environmental problems faced by riparian zones and rivers through the parameters and the results of the CCDM and thus can be used as a basis for proposing methods to improve the ecological situation. The results can be used for the enhancement of the coordination between the development of riparian resources and the requirements of ecosystem protection and utilization, and they can be used to promote the healthy development of ecological environments and the effective use of riparian resources. Full article

In the central region of Chile, the Mega-Drought together with the demographic increase near the coast threatens groundwater availability and the hydrogeological functioning of coastal wetlands. To understand the hydric relationship between an aquifer and a wetland in a semi-arid coastal region of Central Chile (Valparaíso, Chile), as well as its geoenvironmental effects, four data collection campaigns were conducted in the wetland–estuary hydric system and surroundings, between 2021 and 2022, including physical, hydrochemical, and isotopic analyses in groundwater (n = 16 sites) and surface water (n = 8 sites). The results generated a conceptual model that indicates a hydraulic connection between the wetland and the aquifer, where the water use in one affects the availability in the other. With an average precipitation of 400 mm per year, the main recharge for both systems is rainwater. Three specific sources of pollution were identified from anthropic discharges that affect the water quality of the wetland and the estuary (flow from sanitary landfill, agricultural and livestock industry, and septic tank discharges in populated areas), exacerbated by the infiltration of seawater laterally and superficially through sandy sediments and the estuary, increasing salinity and electrical conductivity in the coastal zone (i.e., 3694 µS/cm). The Del Sauce subbasin faces strong hydric stress triggered by the poor conservation state of the riparian–coastal wetland and groundwater in the same area. This study provides a detailed understanding of hydrological interactions and serves as a model for understanding the possible effects on similar ecosystems, highlighting the need for integrated and appropriate environmental management. Full article

The role that aquatic aerosols might play in inter-ecosystem exchanges in freshwater riparian environments has largely been understudied. In these environments, where freshwater streams are used both as drinking water and for treated waste disposal, water features like waterfalls, downed trees, and increased streamflow can serve as bioaerosol producers. Such water features could have an important role in the bacterial colonization of surrounding surfaces, including the riparian phyllosphere. In this study, we explore the influence of a freshwater stream’s bacterial community composition and micropollution on riparian maple leaves exposed to bioaerosols produced from that stream. Using culture-based and non-culture-based techniques, we compared phylloplane microbial communities in riparian zones, adjacent non-riparian forested zones, and the surface waters of the stream. In this system, riparian zone maple leaf surfaces had higher bacterial counts than non-riparian zone trees. Using metagenomic profiling of the 16S rRNA gene, we found that, while microbial communities on leaves in both the riparian zone and forested sites were diverse, riparian zone bacterial communities were significantly more diverse. In addition, we found that riparian leaf bacterial communities shared more amplicon sequence variants (ASVs) with stream bacterial communities than forest leaves, indicating that the riparian zone phyllosphere is likely influenced by bioaerosols produced from water surfaces. Full article

Green spaces and blue spaces in cities provide a wealth of benefits to the urban social–ecological system. Unfortunately, urban development fragments natural habitats, reducing connectivity and biodiversity. Urban green–blue infrastructure (UGI) networks can mitigate these effects by providing ecological corridors that enhance habitat connectivity. This study examined UGI connectivity for two indicator species in a rapidly developing city in the southern United States. We mapped and analyzed UGI at a high resolution (0.6 m) across the entire city, with a focus on semi-natural areas in private land and residential neighborhoods. Integrating graph theory and a gravity model, we assessed structural UGI networks and ranked them based on their ability to support functional connectivity. Most of the potential habitat corridors we mapped in this project traversed private lands, including 58% of the priority habitat for the Golden-cheeked Warbler and 69% of the priority habitat for the Rio Grande Wild Turkey. Riparian zones and other areas with dense tree cover were critical linkages in these habitat corridors. Our findings illustrate the important role that private semi-natural areas play in UGI, habitat connectivity, and essential ecosystem services. Full article

Rivers are one of the most complex formations on the Earth’s surface; they are connected with the deep structure of the Earth, the landscape environment, and unpredictable weather cataclysms. The study aims to investigate the peculiarities of the geological structure and tectonics of the Lower Dniester region, examine the types of meanders, determine the horizontal displacements of the riverbed, and assess the impact of anthropogenic factors on the riverbed and riparian areas. The methodology is based on the use of tectonic maps, geological maps of Quaternary deposits, historical topographic maps, and satellite images to determine the long-term horizontal displacements of the riverbed, identify meander types, and study the meandering characteristics and their relationships with tectonic structures. Horizontal riverbed displacements were measured at 76 points using data from the 1980 map and a Sentinel-2 image obtained in 2020. For the purpose of studying the types of meanders and their analysis, it is proposed to use the characteristics of meanders and their relationships. This approach will allow for more efficient analysis and prediction of changes in channel processes under the influence of natural and anthropogenic factors across various temporal scales. The research shows that the Lower Dniester region is influenced by the tectonics of internal structures and the seismically active Vrancea zone in Romania. Additionally, a comparison of cartographic data from 1880 and 1980 and satellite images from 2020 allows us to assess how the territory of the Lower Dniester riparian area has changed under the influence of anthropogenic factors. Full article

In recent years, awareness has grown of the vital importance of ecological systems, provoking increased research into how to improve their resilience. Here, one popular new technical/management solution is the creation of greenways along riversides. In practice, however, the practical outcomes of such greenways have sometimes been disappointing due to an excessive focus on technical solutions at the expense of a sufficient consideration of the social impact. This study intends to reflect on the problem by looking at the dynamics of land use for ecosystem functions at the macro scale as well as the relationship between the implementation of greenways and the local demand for diverse everyday activities, in particular, recreation opportunities, at the micro scale. Based on this, it aims to reveal practical solutions to bridge ecological usages and everyday needs that achieve better preservation and services of ecosystems. Taking the greenways along the Yongning River (YRG), which runs through the urban–rural areas and the urban–rural interface of Huangyan-Taizhou, as a case study, GIS analysis and anthropology approaches were applied. The results show that the YRG has systematically improved the riparian ecosystems by better connecting the eco-land use and preserving the waterfront. At the same time, its ability to fulfil the large potential for leisure and recreation services needs to improve. Residents living in different parts of the city had disparate requirements depending on their patterns of daily behaviour. We conclude that the successful implementation of greenways in cities should not only consider technological and nature-based solutions but also consider the socio-cultural background. The diversity of local needs regarding everyday activities and recreation will lead to an equivalent diversity in riparian landscape design. Full article

The Tisza River is the longest tributary of the Danube, draining the eastern part of the Carpathian Basin (Central Europe). Five countries share its catchment with different waste production and management practices. Large amounts of waste, including macroplastics (MaPs), are washed into the river. Some of the litter is trapped by the riparian vegetation forming litter accumulations. The study aimed to map the amount of litter by a citizen science program and remote sensing data and to compare the MaP data to the amount of microplastic fragments in sediments. Volunteers reported 3216 riverine litter accumulations from five countries along the entire length of the Tisza (2016–2022). The results suggest that low flow conditions (e.g., impoundment by dams) support litter and MaP trapping. The volume of large accumulations registered by the citizens showed a good correlation with the area of drifting litter revealed on Sentinel-2 images (2016–2022) using machine learning algorithms. Though the MaPs probably fragmentate during their fluvial transport, no clear connection was found between the volume of litter accumulations and the mean microplastic fragment content of sediments (2019–2022). The “Clean Tisza Map“ reveals the high degree of stranded pollutants along rivers and supports public cleanup activities. Full article