Landscape Features Research Articles

Landscape Character and Management Zones in Polder Landscapes: A Case Study of the Dongting Lake Area

Polder landscapes, as a representative of lowland agriculture landscapes, possess diverse natural and cultural values. However, polder landscapes are facing multiple challenges arising from economic and climate changes, including increasing flood threats and the fragmentation of landscape patterns. These issues have severely threatened the safety and regional characteristics of the polder landscape. Therefore, this study aims to preserve the regional characteristics of polder landscapes while promoting the sustainable development of lowland environments, and the objective is to provide a foundation and baseline for the management and planning of polder landscapes. In this study, the Dongting Lake Area (DLA) was selected as a representative case of polder landscapes. To identify the landscape character and delineate the landscape management zones, this study employed the Landscape Character Assessment (LCA) method in conjunction with a polder typology method at two scales. As a result, the polder landscape types were identified and visualized at two different scales. At the Lake Scale, a comprehensive identification method for polder unit types and polder landscape regions was established, achieving a stepwise transition from polder areas to polder clusters and ultimately to individual polder units. At the Local Scale, an integrative analysis of landscape character diversity (LCD) and land construction suitability (LCS) was employed to establish five landscape management zones for polder landscapes, thereby realizing a balance between the conservation of polder landscape diversity with the sustainable development of wetland environments. This study contributes a set of cross-scale ideas and methods for identifying landscape characters and delineating management zones in polder landscapes, which could be expanded to other lowland agricultural landscapes.

The Landscape as a Pillar of the Metropolis of Tomorrow: Sustainable Strategies for Better Integration in Annaba, Algeria

Objectives: This study aims to address the urban and landscape challenges faced by Annaba, a city in Algeria, due to environmental degradation resulting from rapid urbanisation and rural-to-urban migration. Once celebrated for its natural beauty, Annaba now seeks to restore its appeal and improve the quality of life for its residents. The objective is to demonstrate how integrating the landscape into urban planning can play a crucial role in sustainable development, preserving the city's unique identity, and enhancing its social, ecological, and aesthetic environment. Methods: Our approach involves a thorough analysis of Annaba’s landscape characteristics and biodiversity, exploring strategies for reintegration into urban planning frameworks. We focus on the coastal landscape as a primary asset in planning recommendations. This study reviews existing literature on sustainable urban planning, biodiversity conservation, and landscape integration in cities experiencing similar environmental and demographic shifts. Results: The findings suggest that integrating landscape elements into urban planning in Annaba would significantly enhance its ecological and aesthetic appeal. A sustainable development approach that prioritises the landscape can help to combat environmental degradation, improve the quality of urban life, and strengthen the city’s identity. Specific recommendations emphasize preserving coastal and natural features to support biodiversity and attract residents and tourists alike. Conclusion: Reintegrating landscape considerations into Annaba’s urban development strategy is essential for addressing present and future challenges. This approach would not only protect the city's natural assets but also promote a sustainable and appealing urban environment. By focusing on the landscape as a foundation of urban planning, Annaba can redefine its developmental path, offering a model of sustainable growth for other Mediterranean cities facing similar issues.

Heliconius butterflies use wide-field landscape features, but not individual local landmarks, during spatial learning.

Spatial learning is vital in foraging ecology. Many hymenopteran insects are adept spatial foragers that rely on visual cues contained within broader wide-field scenes for central place foraging from a central nest. By contrast, for butterflies, which lack central nest sites, visual cue use during spatial foraging is less understood. Heliconius butterflies, however, exhibit stable nocturnal roosts, strong site fidelity and a sophisticated capacity for spatial navigation. This study furthers our understanding of Heliconius spatial learning by testing whether H. erato can associate a spatially informative visual cue with artificial feeders. We explored the relative importance of a visual local landmark compared with broader, wide-field visual cues, through experiments with (i) a fixed rewarded feeder with a local landmark; (ii) a mobile rewarded feeder with the landmark as the sole reliable cue; (iii) the same setup while blocking visual access to external landscape features. Our data suggest that Heliconius butterflies learn static feeder locations without relying on a local individual landmark. Instead, we suggest they integrate broader landscape and celestial cues. This suggests that Heliconius butterflies and central place foraging hymenopterans likely share similar visual navigation strategies, using wide-field, low-resolution views rather than focusing on specific individual landmarks.

Elite poems and mass proverbs: exploring the historic landscape in Nanchang City, China

The rapid process of urbanisation has led to the erosion of the preservation of features of urban landscape. Research on historical landscapes in ancient urban planning has predominantly concentrated on the elite class, neglecting the broader population. Nanchang, a city with a history spanning over two millennia of urban development, is the focus of this study. The study integrates elite poems and mass proverbs through GIS spatial matching and KH Coder word frequency analysis to research the historic landscape in Nanchang City. The research uncovers that the elite class focuses on the historical, literary, and aesthetic aspects of Nanchang, while the masses emphasise urban structure, functionality, and aspirations. These dual perspectives underscore Nanchang’s evolution from inception to formalisation, highlighting its ability to cater to diverse societal needs. The efforts on the distribution of landscape spots and strict modulus reflect the adaptability and sustainability of Nanchang City.

Global patterns in vegetation accessible subsurface water storage emerge from spatially varying importance of individual drivers

Abstract Vegetation roots play an essential role in regulating the hydrological cycle by removing water from the subsurface and releasing it to the atmosphere. However, the present understanding of the drivers of ecosystem-scale root development and their spatial variability globally is limited. This study investigates the varying roles of climate, landscape, and vegetation on the magnitude of root zone storage capacity ( S r ) worldwide, which is defined as the maximum volume of subsurface moisture accessible to vegetation roots. To this aim, we quantified S r and evaluated 21 possible climate, landscape, and vegetation controls for 3612 river catchments worldwide using a random forest machine learning model. Our findings reveal climate as primary, but spatially varying, driver of ecosystem scale S r with landscape and vegetation characteristics playing a minor role. More specifically, we found the mean inter-storm duration as most dominant control of S r globally, followed by mean temperature, mean precipitation, and mean topographic slope. While the inter-storm duration, temperature, and slope exhibit a consistent relation with S r globally, the relation between precipitation and S r varies spatially. Based on this spatial variability, we classified two different regimes: precipitation driven and energy limited. The precipitation-driven regime exhibits a positive relation between precipitation and S r for precipitation of up to 3 mm d − 1 , above which the relation flattens and eventually becomes negative. The energy-limited regime exhibits a strictly negative relation between precipitation and S r . Using the random forest model based on these three dominant climate variables and the landscape variable slope, we generated a global gridded dataset of S r , which closely resembles other global datasets of root characteristics. This suggests that our parsimonious approach based on four globally available variables to estimate S r on a global scale has the potential to be readily and easily integrated into the parameterization of S r in global hydrological and land surface models. This may enhance the accuracy of global predictions of land–atmosphere exchange fluxes and hydrological extremes by providing a robust representation of both spatial and temporal variability in vegetation root characteristics.

Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis

Multiple sclerosis (MS) is an autoimmune disorder caused by chronic inflammatory reactions in the central nervous system. Currently, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS) and its relationship with the altered profiles of multi-omics such as metabolomics and gut microbiome, as well as potential molecular networks that underlie the etiology of MS. To uncover the characteristics of proteomics landscape and potential multi-omics interaction networks in CpwMS, Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Our results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 differentially expressed proteins (DEPs), such as LAMP1 and FCG2A, were identified in CpwMS plasma comparing to HCs. Furthermore, we also observed extensive and significant correlations between the altered proteomic profiles and the changes of metabolome, gut microbiome, as well as altered immunoinflammatory responses in MS-affected patients. For instance, the level of LAMP1 and ERN1 were significantly and positively correlated with the concentrations of metabolite L-glutamic acid and pro-inflammatory factor IL-17 (Padj < 0.05). However, they were negatively correlated with the amounts of other metabolites such as L-tyrosine and sphingosine 1-phosphate, as well as the concentrations of IL-8 and MIP-1α. This study outlined the underlying multi-omics integrated mechanisms that might regulate peripheral immunoinflammatory responses and MS progression. These findings are potentially helpful for developing new assisting diagnostic biomarker and therapeutic strategies for MS.

Broad-scale predictions of herpetofauna occupancy and colonization in an agriculturally dominated landscape.

Predictions of species occurrence allow land managers to focus conservation efforts on locations where species are most likely to occur. Such analyses are rare for herpetofauna compared to other taxa, despite increasing evidence that herptile populations are declining because of landcover change and habitat fragmentation. Our objective was to create predictions of occupancy and colonization probabilities for 15 herptiles of greatest conservation need in Iowa. From 2006-2014, we surveyed 295 properties throughout Iowa for herptile presence using timed visual-encounter surveys, coverboards, and aquatic traps. Data were analyzed using robust design occupancy modeling with landscape-level covariates. Occupancy ranged from 0.01 (95% CI = -0.01, 0.03) for prairie ringneck snake (Diadophis punctatus arnyi) to 0.90 (95% CI = 0.898, 0.904) for northern leopard frog (Lithobates pipiens). Occupancy for most species correlated to landscape features at the 1-km scale. General patterns of species' occupancy included negative effects of agricultural features and positive effects of water features on turtles and frogs. Colonization probabilities ranged from 0.007 (95% CI = 0.006, 0.008) for spiny softshell turtle (Apalone spinifera) to 0.82 (95% CI = 0.62, 1.0) for western fox snake (Pantherophis ramspotti). Colonization probabilities for most species were best explained by effects of water and grassland landscape features. Predictive models had strong support (AUC > 0.70) for six out of 15 species (40%), including all three turtles studied. Our results provide estimates of occupancy and colonization probabilities and spatial predictions of occurrence for herptiles of greatest conservation need across the state of Iowa.

Protection of the quiet and nocturnal landscape

Motives: We associate landscape primarily with the presence of vistas that change with the time of day, season and weather conditions. Landscape is shaped by light and darkness, sound and silence, all of which influence its perception. Quiet and nocturnal landscapes, however, remain on the margins of scientific interest in traditional landscape studies.Aim: The main aim of the study was to identify the younger generation’s awareness of the importance of nocturnal landscapes, light and noise pollution, and their preferences for protection against these threats. For this purpose, a diagnostic survey method was used. The results of the survey were referred to the 2015 TNS Poland report prepared for the Ministry of the Environment. In addition, the legal conditions of landscape protection in Poland were identified, with reference to protection against noise and light pollution. National and international experiences in the protection of quiet and nocturnal landscapes were also presented.Results: The survey demonstrated that public awareness of light pollution is increasing. A nocturnal (and quiet) landscape is of high value to the respondents. Light pollution causes, among other things, energy waste and landscape degradation (change of landscape characteristics), while noise negatively affects human and animal health. Therefore, the nocturnal (and quiet) landscape should be protected by law. Currently, there are no direct instruments for the protection of nocturnal landscapes in Poland. On the other hand, in the case of quiet landscapes, there are some instruments (e.g. quiet zones), but they have not been used yet. It is encouraging that public awareness of light and noise pollution is increasing. It is necessary to link landscape protection with the protection of the night sky and quiet zones, for example through advertising resolutions and the establishment of cultural parks. It is also important to educate the public about the risks involved.

Assessment of digital elevation models accuracy for local geoid modeling

One of the critical factors influencing the accuracy of a local geoid model is the quality of the digital elevation model (DEM). A properly selected high-resolution DEM can significantly mitigate errors in geoid modeling, gravity anomaly processing, and topography and downward continuation correction. Purpose. Evaluating the accuracy of five global DEMs obtained from open sources to identify the most suitable model for creating a local geoid. Methodology. The vertical accuracy of the DEMs was assessed by comparing the heights between the DEM and control points across different types of terrain. The reference values are based on 344 ground benchmarks, where GNSS observations were performed with subsequent adjustment of coordinates and heights. The accuracy analysis involved calculating statistical indicators of the height differences between the GNSS data and the DEM data. Findings. The standard deviation assessment showed favorable values for the COPERNICUS and ALOS DEMs, followed by SRTM, ASTER, and ETOPO. In the mean absolute error calculations for mountainous areas, the ALOS model performed best, followed by COPERNICUS, SRTM, ASTER, and ETOPO. For other types of terrain, COPERNICUS demonstrated the best results in mean absolute error. Originality. This study distinguishes itself through the incorporation of advanced high-resolution DEMs, such as GLO30, providing a modern and thorough evaluation of DEM accuracy specifically for Kazakhstan. What is new is a detailed analysis of the impact of terrain features (plain, hilly, mountainous) on modeling accuracy. This approach advances beyond previous assessments, delivering new and significant insights into the performance of contemporary DEMs. Practice value. The practical value of the results obtained consists in issuing recommendations regarding the possibility of using the studied DEM for the regions of Kazakhstan which differ among themselves in terms of landscape characteristics. The findings indicate that COPERNICUS and ALOS DEMs are highly suitable for precise geoid modeling in southern Kazakhstan. These models can significantly improve the accuracy of local geoid models, benefiting applications in geospatial science and engineering.

From Text to Insights: Leveraging NLP to Assess How Landscape Features Shape Tourist Perceptions and Emotions Toward Traditional Villages

Abstract Understanding tourist perceptions and the relationship between landscape features and emotional attitudes in traditional village is crucial for sustainable development. However, quantifying these perceptions over vast spatiotemporal scales is challenging. Additionally, there is a paucity of knowledge on which landscape features influence tourist perceptions within varied samples on a spatial scale. In this study, we analyzed 39,130 online reviews of 57 traditional Chinese villages from 2018 to 2023. Utilizing Word2Vec and machine learning techniques, we identified 14 key landscape feature indicators. These were quantitatively scored using expert evaluations, and their relationship to tourists' emotional attitudes was determined through linear regression analysis. The analysis revealed that architectural elements, service facilities, convenience, and sanitation are positively associated with tourists' emotional attitudes towards traditional villages. Contrary to expectations, the frequency of landscape feature mentions did not correlate significantly with emotional attitudes, challenging traditional assumptions about the visibility of landscape features and their impact.

Cougar spatiotemporal response to human activities in a multi‐use forest landscape on southern Vancouver Island

Recreational activities have been shown to induce fear responses in carnivores, causing both spatial and temporal displacement that can have cascading effects on the wider ecological community. Cougars Puma concolor are one species that are particularly sensitive to human disturbances as they have been found to be impacted by various forms of recreational activities. This research aimed to quantify the spatial and temporal responses of cougars to human activities on southern Vancouver Island in British Columbia, Canada. Fifty camera traps were deployed in a systematic probabilistic sampling design and data from the summer season of 2022 was used for analyses. We modeled cougar weekly occurrence frequency in relation to human (hikers and bikers) occurrence frequency, vehicle occurrence frequency, and landscape features, using generalized linear mixed models. Temporal responses of cougars were investigated using activity pattern analysis to compare activity patterns within a recreation area and a restricted public access reserve. Cougars avoid occurring at sites where recreationalists frequently visited, but not sites frequented by vehicles on unpaved roads. We observed minimal influence of habitat features or prey availability on cougar occurrence frequency, as measured by information loss (AICc scores). Activity pattern analysis did not demonstrate significant differences in cougar daily activity patterns between the recreation area and no‐entry reserve, suggesting a lack of temporal response. These results suggest recreational activities on southern Vancouver Island are impacting cougar spatial – but not temporal – behavioral dynamics. Insights on how cougars respond to recreational activities can help inform landscape management and policies by providing information that can be used to mitigate negative impacts and thus ensure that recreational activities are remaining compatible with conservation efforts.

Characteristics of Diseases in Developing Countries

In the urgent realm of global health, it is imperative to acknowledge and promptly address the distinct characteristics of diseases that afflict developing countries. These nations face a unique set of challenges that contribute to the burden of illness and significantly impact the quality of life for their populations. By promptly exploring the key features of diseases in developing countries, we can better understand the complex interplay between socioeconomic factors and health outcomes [1]. One of the primary characteristics of diseases in developing countries is their disproportionate impact on vulnerable populations. Socio-economic disparities, limited access to healthcare, inadequate sanitation infrastructure, and poor nutrition contribute to the heightened susceptibility of marginalized communities to preventable infectious diseases such as hydatid cysts, malaria, tuberculosis, and diarrheal illnesses. The lack of resources and infrastructure further exacerbates the spread of these diseases, creating a cycle of sickness and poverty [2,3]. Furthermore, the prevalence of neglected tropical diseases (NTDs) is a defining feature of the disease landscape in developing countries. These illnesses, which include dengue fever, Chagas disease, and schistosomiasis, predominantly affect populations in low-resource settings and often go unnoticed on the global health agenda. The burden of NTDs is compounded by limited funding for research and treatment, leaving affected communities without adequate support and interventions [4]. In addition to infectious diseases, non-communicable diseases (NCDs) are on the rise in developing countries, posing a dual burden of illness alongside contagious diseases. Factors such as urbanization, lifestyle changes, and an aging population contribute to the increasing prevalence of conditions like cardiovascular diseases, diabetes, and cancer. The inadequate healthcare infrastructure in many developing countries further hinders NCDs' prevention, diagnosis, and management, leading to poorer health outcomes for those affected [5]. Addressing the characteristics of diseases in developing countries requires a multi-faceted approach that encompasses strengthening the healthcare system, investing in public health infrastructure, and, most importantly, providing equitable access to essential medicines. By ensuring fair access to these medicines, we can work towards achieving health equity and reducing the burden of disease in developing countries.

A Comparison of the Efficacy of Fuzzy Overlay and Random Forest Classification for Mapping and Shaping Perceptions of the Post-Mining Landscape of Gauteng, South Africa

Post-mining landscapes are multifaceted, comprising multiple characteristics, more so in big metropolitan regions such as Gauteng, South Africa. This paper evaluates the efficacy of Fuzzy overlay and Random Forest classification for integrating and representing post-mining landscapes and how this influences the perception of these landscapes. To this end, this paper uses GISs, MCDA, Fuzzy overlay, and Random Forest classification models to integrate post-mining landscape characteristics derived from the literature. It assesses the results using an accuracy assessment, area statistics, and correlation analysis. The findings from this study indicate that both Fuzzy overlay and Random Forest classification are applicable for integrating multiple landscape characteristics at varying degrees. The resultant maps show some similarity in highlighting mine waste cutting across the province. However, the Fuzzy overlay map has higher accuracy and extends over a larger footprint owing to the model’s use of a range of 0 to 1. This shows both areas of low and high memberships, as well as partial membership as intermediate values. This model also demonstrates strong relationships with regions characterised by landscape transformation and waste and weak relationships with areas of economic decline and inaccessibility. In contrast, the Random Forrest classification model, though also useful for classification purposes, presents a lower accuracy score and smaller footprint. Moreover, it uses discrete values and does not highlight some areas of interaction between landscape characteristics. The Fuzzy overlay model was found to be more favourable for integrating post-mining landscape characteristics in this study as it captures the nuances in the composition of this landscape. These findings highlight the importance of mapping methods such as Fuzzy overlay for an integrated representation and shaping the perception and understanding of the locality and extent of complex landscapes such as post-mining landscapes. Methods such as Fuzzy overlay can support research, planning, and decision-making by providing a nuanced representation of how multiple landscape characteristics are integrated and interact in space and how this influences public perception and policy outcomes.

Nesting landscape character and personality assessment to intensify rural landscape regionality and uniqueness

Urbanization impacts and homogenization pressures are threatening rural landscapes worldwide, leading to the loss of their regionality and uniqueness. Landscape Character Assessment (LCA) measures and identifies the uniqueness and distinctiveness of landscapes, making the unique value of rural resources easier to understand, protect, and perpetuate. Originating in the UK in the 1970s, LCA has become the mainstream approach for identifying landscape characteristics and is now a tool for managing landscape changes globally. Landscape Personality Assessment (LPA) offers another perspective for effectively measuring and analyzing landscape characteristics but has not been widely applied since its proposal. To distinguish between these two perspectives on landscape uniqueness identification, this paper conducted a literature review and comparison study, summarizing and comparing the characteristics of LCA and LPA in terms of evaluation scale, dimensions, indicators, and supported types of practices, further clarifying their respective strengths and weaknesses. To complement each other's perspectives on landscape characteristic identification, a framework nesting LCA and LPA was proposed to address the issue of the loss of rural landscape regionality in territorial spatial planning. This framework aims to couple evaluations of multi-level spatial characteristics and combine the identification of multi-temporal landscape characteristics. The goal is to enrich the theoretical and methodological system of rural landscape characteristic evaluation and provide more tools for the planning and conservation of the regionality of rural landscapes globally.

Model Lanskap Permukiman Tradisional Masyarakat Adat Rejang Provinsi Bengkulu Berbasis Budaya Lokal

Rejang is one of the original tribes of Bengkulu Province. This tribe mostly lives in the Bukit Barisan area. Some of their settlements are undergoing changes due to the rapidly growing flow of information and communication today. Conservation efforts need to be made, especially about their traditional settlement landscape model. The purpose of this study is to identify and analyze the character of traditional settlement landscapes and their constituent elements and compile a model of traditional settlement landscapes of the indigenous Rejang people. This research uses a descriptive method through a literature study approach, interviews, and field observations. The analysis was carried out descriptively and spatially. The landscape character of the indigenous Rejang tribe settlement is in the form of hilly landforms with land cover in the form of forests, gardens, and terraced rice fields, with the valley floor in the form of small and medium rivers. Traditional settlements stretch over ridges to mountain peaks. The character-forming features of landscapes include both natural and artificial features. Natural features consist of the elements of hills, forests, and rivers. Artificial features consist of terraced rice fields, gardens/fields, and settlements. The settlement itself includes traditional houses (including traditional chiefs' houses), circulation paths, public open spaces, and tombs. The elements that make up the Residential Garden include residential houses, rice barns (tangkiang), kitchens, fence plants, vegetable and flower plants, trees, yards, mortar (places to pound rice). Traditional ceremonial activities are held inside and outside the home, as well as communal activities such as planting and harvesting rice held in rice fields. The landscape model of the traditional settlement of the indigenous people of Rejang Lebong is linear with the center of the settlement along the main road on the ridge. The settlement is surrounded by gardens/fields and rice fields. The forest is on the outside away from settlements.

The contingent impact of wind farms on game mammal density demonstrated in a large-scale analysis of hunting bag data in Poland

Wind farms are still developing dynamically worldwide, with promising prospects for further growth. Therefore, the assessment of their impact on animals has been carried out. So far, few studies have been conducted on game mammals, and their results are divergent. Previous studies on the impact of wind farms on game species were typically based on regional research covering one or, at most, several wind farms. In this study, we aimed to verify the effect of wind farms on the density of game mammals through a large-scale analysis at the country level, using lowland Poland as an example. The study was based on hunting bag data from open-field hunting districts. It covered seven game species: roe deer (Capreolus capreolus), wild boar (Sus scrofa), red fox (Vulpes vulpes), raccoon dog (Nyctereutes procyonoides), European badger (Meles meles), European polecat (Mustela putorius), and European hare (Lepus europaeus). We used Corine Land Cover to account for differences in land cover and the area covered by wind farms in generalized linear mixed models. The study showed that in agricultural landscapes, mainly herbivorous species of game mammals were related to land cover types. These species tend to exhibit higher densities in agricultural areas containing more natural landscape features. Conversely, mesocarnivores are primarily driven by the abundance of prey with little to no observable effects from land cover types. Only roe deer and wild boar presented lower densities with an increase in the area covered by wind farms (for roe deer: estimate: − 0.05, 95% CI: − 0.1–0.0; for wild boar: estimate: − 0.03, 95% CI: − 0.11–0.05), while no effect was observed for mesocarnivores or European hare. The underlying reasons for these relationships remain unclear and require more specific studies. The uncertainty regarding the cause of the observed effects did not allow for a large-scale assessment of the impact of further wind energy development on the studied game mammals.

The Influence of Habitat Diversity on Bat Species Richness and Feeding Behavior in Chilean Vineyards: Implications for Agroecological Practices

Agriculture is a leading cause of biodiversity loss, making the transition to sustainable agroecological practices crucial. Insectivorous bats play a crucial role as biological controllers in regard to agricultural crops, serving as important insect predators. The purpose of this study is to assess bat communities in three distinct habitats, namely the interior of a vineyard, native vegetation, and the transitional edge between them, by analyzing the echolocation patterns of different species. Generalized linear mixed models were used to evaluate the influence of landscape characteristics on bat communities and at the species level, allowing the incorporation of variables at different scales (at 10 m, 100 m, and 1000 m radius) from each sampling site. Our results show that edges enhance bat richness, their general activity, and feeding patterns, and are of particular benefit to certain species: Tadarida brasiliensis, Myotis chiloensis, and Lasiurus varius. Implementing agroecological practices, such as the maintenance of tree hedgerows at the landscape scale, along with native vegetation at the landscape scale, can amplify feeding activity in vineyards, thereby enhancing the provision of ecosystem services in agroecosystems. The edges of vineyards and natural vegetation are crucial for providing habitats for bats and increasing their foraging activity, as well as providing a way to enhance agroecological practices in vineyards to bolster ecosystem services.

Scale-Dependent Effects of Urban Canopy Cover, Canopy Volume, and Impervious Surfaces on Near-Surface Air Temperature in a Mid-Sized City

Cities are significantly warmer than their surrounding rural environments. Known as the ‘urban heat island effect’, it can affect the health of urban residents and lead to increased energy use, public health impacts, and damage to infrastructure. Although this effect is extensively researched, less is known about how landscape characteristics within cities affect local temperature variation. This study examined how tree canopy cover, canopy volume, and impervious surface cover affect daytime near-surface air temperature, and how these effects vary between different scales of analysis (10, 30, 60, 90 m radii), ranging from approximate street corridor to city block size. Temperature data were obtained from a car-mounted sensor, with traverse data points recorded during morning, afternoon, and evening times, plotted throughout the city of Portland, OR. The variability in near-surface air temperature was over 10° F during each traverse period. The results indicate that near-surface air temperature increased linearly with impervious surface cover and decreased linearly with tree canopy cover, with canopy volume reducing the temperature by 1° F for every 500 cubic feet of canopy volume for evening temperatures. The magnitude of the effect of tree canopy increased with spatial scale, with 60 and 90 m scales having the greatest measurable effect. Canopy volume had a positive relationship on presumed nighttime and early-morning temperatures at 60 and 90 m scales, potentially due to the impacts of wind fluctuation and air roughness. Canopy cover still contributed the largest overall decrease in street-scale temperatures. Increasing tree canopy cover and volume effectively explained the lower daytime and evening temperatures, while reducing impervious surface cover remains critical for reducing morning and presumed nighttime urban heat. The results may inform strategies for urban foresters and planners in managing urban land cover and tree planting patterns to build increased resiliency towards moderating urban temperature under warming climate conditions.

Assessing the Nexus Between Landscape Degradation and Flooding in the Niger River Catchment, Southeastern Nigeria: A 40‐Year Geospatial Dynamics (1992–2022)

ABSTRACTThis paper examines the relationship between landscape degradation and flooding in the Niger River catchment of Onitsha, Nigeria, over a 40‐year period (1992–2022), focusing on changes in land use and land cover characteristics. Satellite images were preprocessed and classified using Anderson's classification technique. Erdas Imagine GIS software was adopted to carry out change analysis for each of the classes generated. The Landsat images for all the years (1992, 2002, 2012, and 2022) were acquired for the months of July (wet season) and December (dry season) and analyzed. The trends in seasonal changes in land use and land cover characteristics were prominent in the wet season. This was significantly seen in changes for water body and vegetative area. Built‐up areas and open spaces indicated a decrease during the wet season compared to the dry season. The notable changes occurred in water bodies and vegetation across the studied years, peaking in 1992 with 1628.82 ha for water bodies and 8993.79 ha for vegetation. In 2012, these values were 2040.93 and 8977.5 ha. The largest seasonal shifts were in vegetative areas in 2012 and built‐up in 2022. After analyzing the geospatial data according to the classifications, the study uncovers a notable link between landscape degradation and increased flood susceptibility. Notably, the findings highlight that shifts in these landscape features during the wet season significantly impact flood occurrence, emphasizing the critical role of landscape degradation in exacerbating flood risks in the region.

Proteogenomic analysis of air-pollution-associated lung cancer reveals prevention and therapeutic opportunities

Air pollution significantly impacts lung cancer progression, but there is a lack of a comprehensive molecular characterization of clinical samples associated with air pollution. Here, we performed a proteogenomic analysis of lung adenocarcinoma (LUAD) in 169 female never-smokers from the Xuanwei area (XWLC cohort), where coal smoke is the primary contributor to the high lung cancer incidence. Genomic mutation analysis revealed XWLC as a distinct subtype of LUAD separate from cases associated with smoking or endogenous factors. Mutational signature analysis suggested that Benzo[a]pyrene (BaP) is the major risk factor in XWLC. The BaP-induced mutation hotspot, EGFR-G719X, was present in 20% of XWLC which endowed XWLC with elevated MAPK pathway activations and worse outcomes compared to common EGFR mutations. Multi-omics clustering of XWLC identified four clinically relevant subtypes. These subgroups exhibited distinct features in biological processes, genetic alterations, metabolism demands, immune landscape, and radiomic features. Finally, MAD1 and TPRN were identified as novel potential therapeutic targets in XWLC. Our study provides a valuable resource for researchers and clinicians to explore prevention and treatment strategies for air-pollution-associated lung cancers.