Landscape Effects Research Articles

Coffee pollination and pest control are affected by edge diversity at local scales but multiscalar approaches and disservices can not be ignored

ContextManaging landscapes to increase multiple services provision in search of higher agricultural yield can be an alternative to agricultural intensification. Nonetheless, to properly guide management, we need to better understand how landscape structure affects multiple services at different scales.ObjectivesFocused on synergies and trade-offs in real-world landscapes, we investigated how and at which scale landscape features related to the supply, demand and flow of services act as a common driver of pollination and pest control in coffee plantations.MethodsConsidering landscapes in an important coffee-producing region in Brazil, we tested the effects of forest and coffee cover, distance to forest, forest-coffee edge density and coffee edge diversity at multiple scales on pollination and pest control by birds, bats and ants.ResultsCoffee edge diversity (number of land uses in contact with coffee) was an important driver of pollination and pest control, being consistently relevant at local scales (up to 300 m). However, services were also affected by other landscape features and the ‘scale of effect’ of these relationships varied. Additionally, results show the complex nature of pest control once the direction of effect revealed services and disservices.ConclusionsBesides reinforcing the importance of known landscape effects, this study adds to previous studies by showcasing the relevance of diverse land uses around coffee crops as a common driver of pollination and pest control provision by different species. Moreover, we highlight how understanding the combined local and landscape effects may aid in offsetting disservices and tackling the variety of ‘scales of effect’ found.

STING agonist inflames the cervical cancer immune microenvironment and overcomes anti-PD-1 therapy resistance.

Cervical cancer poses a significant global threat to women's health. However, current therapeutic interventions, such as radiotherapy, chemotherapy, surgical resection, and immune checkpoint inhibitors, face limitations in the advanced stages of the disease. Given the immunosuppressive microenvironment in cervical cancer, it is imperative to explore novel perspectives. In this regard, STING agonists have emerged as promising candidates. The expression profiles and clinicopathological data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Prognostic analysis of STING downstream genes (CCL5, CXCL9, CXCL10) and immune infiltration analysis were conducted using Kaplan-Meier Plotter, ESTIMATE, and deconvo_CIBERSOR. Single-cell RNA-seq (scRNA-seq) analysis was conducted to evaluate the potential of MSA-2 in cervical cancer treatment employing SingleR, chi-squared test, and Gene Set Enrichment Analysis (GSEA). Cellular interaction analysis utilized the CellChat package to assess the potentiation of cellular interaction following MSA-2 administration. Murine tumor models involving U14 and TC-1, were conducted, and the IF of tissue was subsequently conducted to assess the tumor microenvironment status after treatment. Prognosis in cervical cancer correlated with elevated expression of STING downstream genes, indicating prolonged survival and reduced recurrence. These genes positively correlated with immune infiltration, influencing stromal scores, immune scores, and estimate scores. Specific immune cell populations, including CD8+ T cells, M1-type macrophages, NK cells, and T follicular helper cells, were associated with STING downstream genes. scRNA-seq in a classic immune-excluded model revealed that MSA-2 exerts priming and activating functions on vital components within TME, and intensifies their intercellular communications. The in vivo assay ultimately demonstrated that MSA-2, either as a standalone treatment or in combination with anti-PD-1, effectively suppressed the growth of subcutaneous cervical tumors. Moreover, the combination strategy significantly augmented efficacy compared to anti-PD-1 monotherapy by eliciting a robust antitumor immune response. This study highlights the pivotal role of the STING pathway and the potential of MSA-2 in reshaping the immune microenvironment in cervical cancer. Combining MSA-2 with immune checkpoint inhibitors presents a transformative approach, holding promise for improved prognosis. Further investigations are warranted to explore the broader immune landscape and potential long-term effects of MSA-2 in cervical cancer treatment.

Vegetation mosaic shaping bryophyte diversity in a threatened ecosystem: A case study of Brazilian Cangas (ferruginous rupestrian fields)

The Canga vegetation in Brazil is a unique ecosystem found on ironstone outcrops, known as ferruginous rupestrian fields, and is considered one of the most diverse in the world. This mosaic landscape, comprised of trees, shrubs, and herbaceous vegetation, is home to a diverse range of plants, including angiosperm, bryophytes, and lichens. To understand the effect of Cangas' patchy landscape, here called mesohabitats, on bryophyte communities, we asked the following questions: Do the diversity parameters such as richness, abundance and composition of bryophytes differ along the different Cangas’ mesohabitats? Do bryophyte assemblages group by functional traits and filter per mesohabitat? We surveyed eight sites in the Quadrilátero Ferrífero (Iron Quadrangle), southeast Brazil. We collected and analysed data on bryophyte diversity and functional traits in three different mesohabitats: exposed areas (EA), shrub associations (SA), and tree associ ations (TA). The diversity of both groups was tested using one-way ANOVA; and functional traits were addressed with a Factorial Analysis of Mixed Data (FAMD). There are significant differences in the diversity of bryophytes among the mesohabitats, with TA having the highest diversity and abundance of liverworts and mosses, followed by SA and EA. The study also found bryophyte assemblies with similar functional traits in similar mesohabitats across the Brazilian Quadrilátero Ferrífero. The research revealed that the different mesohabitats provided important and distinct niches for bryophytes in Cangas, and this threatened ecosystem's high diversity must be considered when developing conservation strategies. This entails land managers adopting effective approaches aimed at improving both the quality and connectivity of habitats, fostering biodiversity, and bolstering the resilience of the ecosystem.

Spider guilds in a maize polyculture respond differently to plant diversification, landscape composition and stage of the agricultural cycle

Abstract Agroecosystem simplification for greater food production has led to the loss of ecosystem services such as pest control by predators. Plant diversification has shown excellent potential to improve the diversity of crop predators such as spiders. However, in agroecosystems with frequent disturbances such as annual crops, it is unknown whether the effect of plant diversification on spiders depends on the surrounding landscape and the stages of the agricultural cycle (i.e., periods with differences in vegetation, weather and agricultural practices). Here, we evaluated the effect and interaction of local management (plant diversification), landscape (forest areas) and agricultural cycle on the richness and abundance from the main spider guilds of a maize polyculture in Mexico. We found that greater crop diversification (i.e., addition of legumes and leafy plants) caused a greater abundance of ground‐hunting spiders. We also show that a larger area of forest around the crop favours a greater richness and abundance of ground‐ and vegetation‐hunting spiders. We found that each stage of the agricultural cycle had a different spider richness and abundance, ground hunters were more common at the beginning of the agricultural cycle, while vegetation hunters and web‐builders were more common during the peak developmental stages of the crops. Our findings support the idea that to foster functionally diverse spider communities that potentially enhance natural pest control, we must jointly manage plant elements within the crop, in the surrounding landscape, considering the high dynamics of spider communities throughout the agricultural cycle.

Assessment of air pollution and air quality perception mismatch using mobility-based real-time exposure.

Air pollution poses a threat to human health. Public perceptions of air pollution are important for individual self-protection and policy-making. Given the uncertainty faced by residence-based exposure (RB) measurements, this study measures individuals' real-time mobility-based (MB) exposures and perceptions of air pollution by considering people's daily movement. It explores how contextual uncertainties may influence the disparities in perceived air quality by taking into account RB and MB environmental factors. In addition, we explore factors that are related to the mismatch between people's perceived air quality and actual air pollution exposure. Using K-means clustering to divide the PM2.5 values into two groups, a mismatch happens when the perceived air quality is poor but the air pollution level is lower than 15.536μg/m3 and when the perceived air quality is good but the air pollution level is higher than 15.608μg/m3. The results show that there is a mismatch between air pollution exposure and perception of air pollution. People with low income are exposed to higher air pollution. Unemployed people and people with more serious mental health symptoms (e.g., depression) have a higher chance of accurately assessing air pollution (e.g., perceiving air quality as poor when air pollution levels are high). Older people and those with a higher MB open space density tend to underestimate air pollution. Students tend to perceive air quality as good. People who are surrounded by higher MB transportation land-use density and green space density tend to perceive air quality as poor. The results can help policymakers to increase public awareness of high air pollution areas, and consider the health effects of landscapes during planning.

Impact of landscape attributes on the noise reduction effects of heritage landscapes

Heritage landscapes provide a cost-effective solution for mitigating noise and creating adaptable open spaces in urban ecological construction and planning. In this study, we examined 27 distinct landscapes in a city in northern China to assess their effectiveness in reducing traffic-related noise. The acoustic properties of the landscapes, considering various surfaces, slopes, elevations, structures, and topography, were systematically analysed and compared. The findings indicate that vertically rigid descending landscapes exhibit the highest acoustic performance, followed by vertically flexible dense landscapes without slopes. Additionally, the noise reduction effects of horizontal landscapes with rough rigid surfaces surpass those of landscapes covered by low-growing vegetation and landscapes with sparse high-growing vegetation. The insights derived from this study can enhance our understanding of heritage landscapes, provide valuable information for their protection and micro-updates, and support quantitative research in this field.

A multi-scale approach to study palm-weevils in a tropical agroecosystem

Abstract Context The recent phytosanitary crisis caused by the stem borer weevils Dynamis borassi and Rhynchophorus palmarum in peach palms (Bactris gasipaes) seriously affects the economy of rural families in Colombia. To understand the possible ecological mechanisms favoring the pest, the weevil-palm system needs to be studied from a multi-scale perspective. Objectives We evaluated the combined effects of agricultural management, landscape, topography, soil, and climate variables on infestation levels of peach palm caused by the weevils D. borassi and R. palmarum in the Colombian southwest to understand underlying ecological drivers of the current phytosanitary crisis. Methods The palm infestation levels (response variable) and local agronomic practices were recorded in 32 sites across Colombia's Pacific, Andes, and Amazon natural regions. For each peach palm crop, landscape variables were estimated from classified Sentinel-2 images, soil variables were extracted from the Soil Grids 250 m database, and climate variables were extracted from the CHIRPS and CHIRTS databases. Explanatory variables were analyzed using Generalized Linear Models and Partial Least Squares-Generalized Linear Models. Results Landscape variables, specifically the number and shape of non-forest patches, had a greater influence on peach palm infestation levels than other environmental variables, possibly related to the decrease in the density of Oenocarpus batatua, the natural palm host for D. borassi, leading it to switch to the peach palm. Conclusions A multi-scale approach of the weevil-palm interaction enabled us to identify an ecological mechanism that has not been proposed before. Our recommendation for families depending on peach palm is to design palm management with a landscape perspective that considers the conservation of alternative hosts for the weevils in agroforestal plots.

The landscape scale of effect on the alpha and beta diversities of woody species in a semideciduous tropical forest

ContextMost tropical forest landscapes are highly fragmented, have habitat patches varying in size and shape, and display different degrees of perturbation, but with high conservation values. Therefore, a major goal of landscape ecology is to discover the actual spatial scale at which landscape composition and structure affect biological processes and biodiversity.ObjectiveThis study aimed to determine the landscape scale of effect governing the α and β diversities of woody species in a highly fragmented, semideciduous tropical forest.MethodsWe recorded the diversity of woody species in 19 plots scattered across a highly fragmented, semideciduous tropical forest landscape. Then, we used CART algorithms to evaluate the effects of landscape attributes on the α and β diversities of such species across 100 scales (10–1000 m) and tested continuous effects with generalized additive models.ResultsThe shape and size of habitat patches in the range of 250–470 m determined α diversity. As for β diversity, nestedness was affected by the shape of forest patches at 510 m, whereas landscape heterogeneity affected species turnover within 100 m buffers.ConclusionWhile a previous study in a similar habitat reported effects at 800 m, the number, size, and shape of habitat patches in the current study accounted for the diversity of the focal plots within 100–510 m. Furthermore, CART effectively screened 100 scales, revealing which landscape attributes correlated the most with the diversity of woody plants. The findings provide valuable guidelines for conservation, restoration efforts, and public policies.

Landscape and farm environmental structure determinants of small mammal assemblages in agroecosystems of central Argentina

Abstract Natural processes and patterns are altered by human activity at different spatial and temporal scales, affecting species assemblages and population traits, modifying mechanisms or regulating dynamics at different scales. However, little is known about the influence of landscape structure on small mammal assemblages and populations on farms. Thus, in this work, we aimed to study the effect of landscape and environmental characteristics at the farm scale on the assemblage and populations of native and introduced small mammals in pig and dairy farms located in Buenos Aires province, Argentina. Our results showed that farms in contexts of higher environmental diversity at the landscape scale have higher species richness. Our results also showed that variations in assemblage composition were associated with the quantity of water body surfaces, cattle food, small mammal refugia, and impervious surfaces at the farm scale—and with woodland, grassland, and natural vegetation cover at the landscape scale. The abundance of commensal murids was higher on farms near towns, with higher vegetation cover at the farm scale and/or in landscape contexts with fewer crops. The abundance of Akodon azarae was higher on farms with a lower amount of cattle food at the farm scale and crop patches in the landscape. The abundance of Didelphis albiventris was higher during spring on farms with a low proportion of bare ground, while that of Lutreolina crassicaudata was higher on farms with high vegetation cover and a lower number of water body surfaces. These results show the relevance of multiscale determinants in the development of ecologically based management strategies to control pest small mammals.

Comparative study and effects of urban green scape on the land surface temperature of a large metropolis and green city

Previous studies have provided valuable insights into the impact of green space (GS) on land surface temperature (LST). However, there is a need for in-depth comparative research on changing landscape patterns in cities and their effects on the urban thermal environment. This study investigates the spatial arrangement of GS and the influence of impervious surfaces on LST in urban areas, examining their cooling and warming effects in the urban landscapes of Beijing and Islamabad. The study aims to assess the impact of the spatial arrangement of GS on LST using a moving window of 1 km2 to analyze the overall effect of landscape patterns on the urban environment. Using Gaofen (GF–2) and Landsat–8 satellite data, we examined the biophysical surface properties of core urban areas. The results indicate a significant difference in the mean LST of 5.44 °C and 3.31 °C between impervious surfaces and GS in Beijing and Islamabad, respectively. The barren land and GS in Islamabad experience a higher LST of 3.39 °C compared to Beijing, which accounts for 1.39 °C. In Beijing, configuration metrics show no significant effect on urban LST, while edge density (ED) exhibits a slightly negative trend. In contrast, in the city of Islamabad, the landscape shape index (LSI), patch density (PD), and number of patches (NP) metrics have a significant influence on LST. The cooling effect of GS patches (0.1–0.5 ha) is more pronounced, while that of GS patches of 15–20 ha shows no significant effect on LST. The temperature difference (TD) of 5.01 °C was observed from the edge of GS in Beijing and 3.3 °C in Islamabad. Considering Islamabad's lush green scape compared to Beijing, this study suggests that Islamabad may experience an increase in LST in the future due to urbanization. This study's findings may assist urban policy-makers in designing sustainable green city layouts that effectively address future planning considerations.

Advances in biologging can identify nuanced energetic costs and gains in predators.

Foraging is a key driver of animal movement patterns, with specific challenges for predators which must search for mobile prey. These patterns are increasingly impacted by global changes, principally in land use and climate. Understanding the degree of flexibility in predator foraging and social strategies is pertinent to wildlife conservation under global change, including potential top-down effects on wider ecosystems. Here we propose key future research directions to better understand foraging strategies and social flexibility in predators. In particular, rapid continued advances in biologging technology are helping to record and understand dynamic behavioural and movement responses of animals to environmental changes, and their energetic consequences. Data collection can be optimised by calibrating behavioural interpretation methods in captive settings and strategic tagging decisions within and between social groups. Importantly, many species' social systems are increasingly being found to be more flexible than originally described in the literature, which may be more readily detectable through biologging approaches than behavioural observation. Integrating the effects of the physical landscape and biotic interactions will be key to explaining and predicting animal movements and energetic balance in a changing world.

Reducing pest pressure and insecticide use by increasing hedgerows in the landscape

Reducing pesticide use while maintaining agricultural production is a key challenge. Ecological theory predicts that landscape simplification is likely to increase insect pest outbreaks and limit their control by natural enemies, and this situation could boost insecticide use. Some studies have indeed detected that simpler landscapes were associated with higher insecticide use, but very few have demonstrated that this association is caused by landscape effects on pest abundance. Here, we analysed insecticide use and pest pressure in response to landscape simplification across 557 arable farms across France. Accounting for potentially confounding covariates, we found that lower cover of hedgerows in the landscape, but not semi natural areas, were associated with higher on-farm insecticide use. We also found that greater hedgerow coverage was associated with lower aphid pest pressure. Specifically, increasing the landscape-scale cover of hedgerows from 1 % to 3 % meant that insecticide use was halved. These findings suggest that restoring hedgerow cover at the landscape scale should be targeted in order to speed-up the ecological intensification of agriculture.

Effects of Urban Landmark Landscapes on Residents’ Place Identity: The Moderating Role of Residence Duration

Landmark landscapes, as visual representations of cities, are readily identifiable to urban residents. Observing and visiting these landscapes fosters a cultural connection and identity with the locale, enhances urban character, and promotes tourism. A place’s identity is instrumental in urban development and improvement. Urban planners and managers should thus prioritize fostering residents’ place identity within city environments. In this study, we explored the influence of landmark landscapes on the place identity of residents in Nanjing—a rapidly urbanizing city with both historic and modern districts. Our methodology included on-site surveys and the application of a structural equation model to discern the relationships between various landmark landscape elements and place identity. The findings revealed the following: (1) landmark landscapes positively influence residents’ construction of place identity; (2) the characteristics, function, and historical–cultural importance of these landmark landscapes contribute to place identity formation; and (3) the duration of residence moderates the relationship between historical–cultural importance and place identity. These insights elucidate the role of landmark landscapes in shaping place identity, which in turn enhances urban characteristics and bolsters residents’ sense of belonging. The strategic planning and design of landmark landscapes are instrumental in building public consensus, fostering distinctive urban characteristics, and strengthening residents’ sense of identity, thereby catalyzing tourism development.

The effects of landscape fascination on subjective well‐being and revisit intention: Evidence from agritourism destinations

AbstractThis study adopted the reasonable person model (RPM) in the context of agritourism to identify tourists' preferences for features of agricultural landscapes; to examine the effects of agritourism landscape's fascination on subjective well‐being and destination attachment, which in turn influence tourists' loyal behaviors; and to investigate the moderating effects of farm types. The quantitative and qualitative approaches were combined to obtain 1118 usable samples. The results validated the RPM by identifying the predictive power of landscape fascination, subjective well‐being, and destination attachment on tourists' destination loyalty. Managerial implications for enhancing visitors' retentions in Taiwan were discussed.

Evaluation of the Effect of Rural Landscape Design Based on Hierarchical Analysis and Artificial Intelligence Technology

In order to study rural landscape resources and analyze landscape problems, the effect evaluation method of rural landscape design based on hierarchical analysis method and artificial intelligence technology is proposed. Taking a rural landscape as an example, the evaluation index system of rural landscape design effect is constructed through hierarchical analysis and the index weight is determined. BP neural network based on artificial intelligence technology is used to construct the rural landscape design effect evaluation model, and the rural landscape design effect is evaluated from three aspects: target layer, project layer and index layer. The results show that this method can effectively evaluate the design effect of rural landscape in the study area, in which the index layer is between 0.4 and 0.64, the comprehensive evaluation is excellent, the comprehensive evaluation score of the target layer is 0.60, the design effect is excellent, the bearing capacity and attraction are excellent, indicating that the research area is sufficient; the error trend is stable and the overall relative error is low, indicating that the method has high accuracy and ideal, and lays a foundation for the analysis and evaluation of rural landscape resources.

Exploring the impact of autumn color and bare tree landscapes in virtual environments on human well-being and therapeutic effects across different sensory modalities.

The aim of this study is to investigate the impact of different sensory modes on the preferences and therapeutic effects of virtual autumn landscapes on university campuses. In this study, 320 participants, with an average age of 21.11 years (±1.21 years), were exposed to virtual environments featuring autumn color landscapes and bare tree landscapes using visual, auditory, and combined conditions. A control group was included for comparison. Differences in participants' physiological indicators (EEG, heart rate) and psychological measures (POMS, PANAS, SVS, ROS) were analyzed, with the use of the Holm correction (P < 0.05). (1) Autumn virtual landscapes with color had a superior therapeutic effect. (2) There were significant differences in the therapeutic effects of different sensory modes within the same season's landscape categories, suggesting that incorporating additional sensory dimensions may enhance therapeutic outcomes. Based on the study's findings, we recommend that when designing therapeutic environments, attention should be given to seasonal variations and the integration of various sensory modes to optimize therapeutic results.

Analysis of visual effects of urban landscape based on eye movement experiments——taking Park Road in Yanji City as an example

In this study, the visual effect of Park Road landscape in Yanji City was investigated through a combination of questionnaire survey and eye movement analysis, and the correlation between the evaluation factors of Park Road landscape and the subjects’ points of interest was explored. It was found that there was a strong correlation between subjective evaluation factors and landscape aesthetics; the subjects’ eyes were mainly focused on the vanishing point, while the colorful lighting projects and billboards were more attractive points of interest. The results of this study can provide a reference for Park Road landscape planning and a reference method for subsequent landscape studies.

Crosslinker energy landscape effects on dynamic mechanical properties of ideal polymer hydrogels.

Reversible crosslinkers can enable several desirable mechanical properties, such as improved toughness and self-healing, when incorporated in polymer networks for bioengineering and structural applications. In this work, we performed coarse-grained molecular dynamics to investigate the effect of the energy landscape of reversible crosslinkers on the dynamic mechanical properties of crosslinked polymer network hydrogels. We report that, for an ideal network, the energy potential of the crosslinker interaction drives the viscosity of the network, where a stronger potential results in a higher viscosity. Additional topographical analyses reveal a mechanistic understanding of the structural rearrangement of the network as it deforms and indicate that as the number of defects increases in the network, the viscosity of the network increases. As an important validation for the relationship between the energy landscape of a crosslinker chemistry and the resulting dynamic mechanical properties of a crosslinked ideal network hydrogel, this work enhances our understanding of deformation mechanisms in polymer networks that cannot easily be revealed by experiment and reveals design ideas that can lead to better performance of the polymer network at the macroscale.

Fragmented Landscape in Harold Pinter's "The Room": A Postmodern Study

This paper explores the theme of fragmented landscape in Harold Pinter's play, "The Room," through a postmodern lens. The analysis examines how the play reflects and critiques the socio-political context of the postmodern era and how this context shapes the fragmented nature of the play's landscape. The paper argues that "The Room" is an important work of postmodern literature that exposes the dehumanizing effects of a fragmented landscape. This paper briefly explains Postmodernism and fragmented landscape and how Harold Pinter depicted them in his play.

Effect of landscape attributes on the occurrence of the endangered golden-headed lion tamarin in southern Bahia, Brazil.

The golden-headed lion tamarin (Leontopithecus chrysomelas) is an endangered primate that occurs exclusively in the Atlantic Forest of southern Bahia, Brazil. Its geographic range has been severely reduced by deforestation and its populations are restricted to a human-modified landscape consisting primarily of Atlantic forest fragments and shade cacao (Theobroma cacao) agroforestry, locally known as cabrucas. In the last 30 years, there has been a 42% reduction in the geographic range and a 60% reduction in the population size of L. chrysomelas, with only 8% of its habitat represented by protected areas. Thus, we investigated the occurrence of L. chrysomelas in forest fragments and cabrucas based on interviews and using playback census, and evaluated the influence of landscape attributes on its occurrence. The occurrence was measured using a Generalized Linear Model using a set of 12 predictor variables, including fragment size and elevation. L. chrysomelas inhabited 186 (38%) of the 495 forest fragments and cabrucas. Most inhabited habitat patches (n = 169, 91%) are in the eastern portion (ca. 70 km wide region from the Atlantic coast to inland) of its geographic range. The remaining (n = 17, 9%) are in the western portion of the distribution, between 70 and 150 km from the Atlantic coast. Our models indicate a higher occurrence of L. chrysomelas in the eastern portion of its geographic range, where the landscape exhibits lower land cover diversity, greater functional connectivity, lower altitudes (<400 m), and is primarily composed of forest fragments and cabrucas with a higher core percentage. In contrast, we observed a lower occurrence of L. chrysomelas in the western portion, where the landscape is more diverse and heterogeneous due to anthropogenic activities, such as agriculture and livestock. We urge the establishment of ecological corridors via reforestation of degraded areas in the western portion of the range. This increase in habitat availability and suitability in the west together with the protection of the forests and cabrucas in the east would increase our chances of saving L. chrysomelas from extinction.