Landscape Settings Research Articles

Rust Disease Changes the Abundance and Composition of Bacterial Community in Iris lactea Rhizosphere

The microbial community plays a vital role in root–environment interactions, which affect plant performance under biotic stress. Rust disease significantly affects plant growth, which may also affect rhizosphere microbial community. However, there is a scarcity of studies investigating the microbial community of rhizosphere under rust disease stress. Iris lactea is a widely utilized plant in gardening and landscaping due to its versatility and ornamental value, but it is often susceptible to rust disease in landscape settings. In this study, we compared the bacterial communities between bulk soil (non-cultivated control), rhizosphere soil of healthy Iris lactea plants, and rhizosphere soil of Iris lactea plants infected with rust disease (rhizosphere-R). Results revealed significant alterations in the abundance and composition of bacterial communities associated with rust disease infection. Specifically, the rhizosphere-R samples exhibited a decreased Shannon index at 1.9% compared to bulk soil and the relative abundance of Proteobacteria was increased at 31.65%. Moreover, distinct changes in β-diversity were shown between bulk soil and rhizosphere samples. Notably, potentially pathogenic bacteria increased in abundance under rust disease stress, while beneficial bacterial taxa decreased. Overall, our results show that rust disease affects the rhizosphere microbial community, which emphasizes the ecological implications of plant–microbe interactions under biotic stress and implications for developing targeted rhizobacterial-based biocontrol strategies.

Landscapes on the edge

AbstractMany landscapes are on the edge literally, particularly here on the Atlantic Coast of Canada. But landscapes everywhere are on the edge metaphorically: on the edge of change. Tackling the collective challenges we face, and redefining a “good life” in these new circumstances, will likely transform the places and landscapes that we care about. Yet change is hard and it is felt unevenly across space and social strata. We often instinctively feel that the landscapes of the present should dominate the future—an idea I've been calling “climax thinking”—but in many cases, those current landscape settings solve old problems and cause new ones. Drawing on recent empirical Atlantic research about renewable energy and coastal adaptation, this lecture explores some of the cultural shifts required to reimagine our landscapes and to meet the challenges ahead, identifying key roles for geographers along the way.

Estimates of Lake Nitrogen, Phosphorus, and Chlorophyll‐a Concentrations to Characterize Harmful Algal Bloom Risk Across the United States

AbstractExcess nutrient pollution contributes to the formation of harmful algal blooms (HABs) that compromise fisheries and recreation and that can directly endanger human and animal health via cyanotoxins. Efforts to quantify the occurrence, drivers, and severity of HABs across large areas is difficult due to the resource intensive nature of field monitoring of lake nutrient and chlorophyll‐a concentrations. To better characterize how nutrients interact with other environmental factors to produce algal blooms in freshwater systems, we used spatially explicit and temporally matched climate, landscape, in‐lake characteristic, and nutrient inventory data sets to predict nutrients and chlorophyll‐a across the conterminous US (CONUS). Using a nested modeling approach, three random forest (RF) models were trained to explain the spatiotemporal variation in total nitrogen (TN), total phosphorus (TP), and chlorophyll‐a concentrations across US EPA's National Lakes Assessment (n = 2,062). Concentrations of TN and TP were the most important predictors and, with other variables, the RF model accounted for 68% of variation in chlorophyll‐a. We then used these RF models to extrapolate lake TN and TP predictions to lakes without nutrient observations and predict chlorophyll‐a for ∼112,000 lakes across the CONUS. Risk for high chlorophyll‐a concentrations is highest in the agriculturally dominated Midwest, but other areas of risk emerge in nutrient pollution hot spots across the country. These catchment and lake‐specific results can help managers identify potential nutrient pollution and chlorophyll‐a hot spots that may fuel blooms, prioritize at‐risk lakes for additional monitoring, and optimize management to protect human health and other environmental end goals.

Multilandr: an R package for multi-scale landscape analysis

ContextTypical landscape-scale studies comprise the delimitation of landscapes followed by the calculation of one or more landscape metrics. Performing an analysis at multiple spatial scales is often required, occasionally followed by the selection of a particular scale according to the response variable of interest. More complex research goals might require a thorough inspection of landscapes, plus a selection of landscapes that would fulfill certain conditions regarding their landscape metrics. These tasks can usually be programmatically challenging, especially if multiple spatial scales are being analyzed.ObjectivesThe R package multilandr builds on several spatial-oriented R packages to provide a toolbox to develop and inspect multi-scale landscapes based on simple spatial inputs.Methods and resultsThe package delivers functions to calculate metrics within a multi-scale framework. Also, it provides several utility functions to visualize correlations between metrics, filter landscapes that fulfill certain predefined conditions or select a wide-range gradient of landscapes for a given metric, among other useful tasks. This paper introduces the functionality of multilandr through a step-by-step instruction guide and case studies.ConclusionsThe R package multilandr provides a set of functions to facilitate typical methodological workflow of landscape-scale studies in the R environment, for both beginner and expert R users. It provides the functionality to perform a systematic filtering and selection of landscapes according to a given experimental design. The package is especially programmed to develop multi-scale designs but is also useful for the calculation of metrics of a set of landscapes from any GIS-related project.

Effects of landscape variation on thermoregulation and performance in Apis mellifera honey bee colonies: insights from mtDNA haplotypes

In a year-long research study, we delved into the thermoregulation and performance of twenty-one honey bee colonies situated in three distinct landscape settings: 1- Urban, 2- Agricultural (AG), and 3- Non-agricultural (Non-AG) environments. All colonies, consistent in size, were equipped with sensors designed to record inner hive temperature and humidity. Additionally, colonies were placed on precision electronic scales for weight monitoring. Varroa mite infestations were documented at seven different time points throughout the experiment. Colonies were genetically analyzed for subspecies and haplotype identification using the in silico DraI mtDNA COI-COII test. Our results unveiled an overall significant (p < 0.001) weight gain (5.76 kg) in colonies located within the urban setting, in stark contrast to both AG and Non-AG locations. Notably, colonies situated in the natural refuge center (Non-AG) experienced a weight loss of −0.05 kg, signaling a lack of sustainable forage resources in such a setting. Similarly, the inner hive temperature was significantly (p < 0.001) higher in the urban area (33.65 °C) with a significantly lower relative humidity (61.2%) compared to both other locations. Among the locations, the temperature variable displayed the strongest significant correlation (p < 0.001) with a positive correlation coefficient (r = 0.95). Two distinct mtDNA haplotypes were identified: C1 and C2j, characterizing the ligustica and carnica maternal origin, respectively. These haplotypes consistently demonstrated significant differences in their thermoregulation and weight gain, irrespective of the landscape compositions. The C1 haplotype displayed significantly higher weight gain alongside lower inner hive temperature and humidity levels compared to the C2j haplotype. No differences in mite infestation were observed between the various locations or haplotypes. Our data underscores the substantial impact of landscape composition on honey bee performance. It also unveils significant variations in thermoregulation and adaptation between haplotypes, shedding light on the multifaceted relationship between environmental factors, genetics, and bee colony dynamics.

The Natal coastal belt

Owing to its climatic conditions and political evolution the Natal Coastal Belt forms a distinct region within South Africa. As such, a unique set of landscapes has evolved reflecting changing agricultural patterns and rapid urban expansion. In addition it has been the meeting place of a variety of peoples each of whom has attempted to build familiar structures and pursue known activities. The result is a highly complex and diverse landscape.

Bumblebees mediate landscape effects on a forest herb's population genetic structure in European agricultural landscapes.

Spatially isolated plant populations in agricultural landscapes exhibit genetic responses not only to habitat fragmentation per se but also to the composition of the landscape matrix between habitat patches. These responses can only be understood by examining how the landscape matrix influences among-habitat movements of pollinators and seed vectors, which act as genetic linkers among populations. We studied the forest herb Polygonatum multiflorum and its associated pollinator and genetic linker, the bumblebee Bombus pascuorum, in three European agricultural landscapes. We aimed to identify which landscape features affect the movement activity of B. pascuorum between forest patches and to assess the relative importance of these features in explaining the forest herb's population genetic structure. We applied microsatellite markers to estimate the movement activity of the bumblebee as well as the population genetic structure of the forest herb. We modelled the movement activity as a function of various landscape metrics. Those metrics found to explain the movement activity best were then used to explain the population genetic structure of the forest herb. The bumblebee movement activity was affected by the cover of maize fields and semi-natural grasslands on a larger spatial scale and by landscape heterogeneity on a smaller spatial scale. For some measures of the forest herb's population genetic structure, that is, allelic richness, observed heterozygosity and the F-value, the combinations of landscape metrics, which explained the linker movement activity best, yielded lower AICc values than 95% of the models including all possible combinations of landscape metrics. Synthesis: The genetic linker, B. pascuorum, mediates landscape effects on the population genetic structure of the forest herb P. multiflorum. Our study indicates, that the movement of the genetic linker among forest patches, and thus the pollen driven gene flow of the herb, depends on the relative value of floral resources in the specific landscape setting. Noteworthy, the population genetic structure of the long-lived, clonal forest herb species correlated with recent land-use types such as maize, which have been existing for not more than a few decades within these landscapes. This underscores the short time in which land-use changes can influence the evolutionary potential of long-lived wild plants.

Late Holocene vegetation dynamics: degree and regional patterns of the Dark Ages woodland regeneration (ad 300–700) in the Netherlands

AbstractDuring the Dark Ages, which include the Late Roman period (ad 270–450) and the Early Middle Ages (ad 450–1050), large-scale vegetation development in northwest Europe was characterised by widespread regeneration of woodlands. This regeneration phase represents a break from the extensive reduction in woodland from human activities in late Holocene vegetation history. In the Netherlands, possible causes for this reversal can be found in a decreased human impact on the landscape, a colder and possibly wetter climate, and geomorphological changes. This paper presents a synthesis from 38 pollen records from a range of sites across the Netherlands, from which regional differences in the degree of woodland regeneration and vegetation composition before and during the Dark Ages have been identified. Both original data as well as vegetation abundance modelled by REVEALS were used to assess the regrowth of the woodland cover. The observed trends were considered in terms of the landscape setting and population estimates in order to disentangle the relative importance of these forcing factors. The results indicate that landscape and human impact were the most important factors determining the vegetation structure and changes to it. The pollen data show that in the Netherlands, the clearance of woodland in the Roman period followed by its regrowth afterwards were greatest in the river area. This can be linked to a high population density there during the Roman period followed by a strong decrease of population in the Dark Ages and to increased flooding.

Rural Landscape Design Strategies in Wenzhou City

In the continuous evolution of contemporary society, with the emergence of the rural revitalization strategy, the field of rural landscape design and village planning in China has ushered in diversified practical paths and in-depth theoretical exploration. Wenzhou City, located in the coastal area, showcases unique diversity in its rural landscape. From the urban villages embedded in the city to the winding villages in the mountains, and then to the fishing villages living by the sea, every place is a treasure intertwined with nature and culture. This study aims to collect and analyze unique rural landscape cases in Wenzhou City through detailed field research. On this basis, we will integrate advanced design concepts and methodologies under the current rural revitalization strategy, tailor a set of rural landscape planning schemes that are suitable for the local characteristics of Wenzhou City. The aim is not only to enhance the aesthetic value of rural areas, but also to promote the harmonious coexistence of ecological balance, cultural inheritance, and economic development, painting a vibrant blueprint for the sustainable development of rural areas in Wenzhou City.

Critical therapeutic landscape design elements for cognitive impairments in the Royal Talbot rehabilitation centre

PurposeTherapeutic landscapes can be beneficial for patients recovering from cognitive and behavioural impairments. The therapeutic garden in the Royal Talbot rehabilitation centre (RTRC) located in Kew, Melbourne is a precedent for its nature design outdoor spaces and horticultural therapy (HT) program for patients with cognitive impairments due to brain and spinal cord injuries. There have been no studies into the physical design of the RTRC therapeutic garden.Design/methodology/approachThis case study unveils the critical design themes, and dominant physical elements of the RTRC therapeutic garden through site observation and analysis over the course of two months, a semi-structured interview with a key staff, and graphical representations using integrated photography and collaborative digital tools of AutoCAD and Adobe Photoshop.FindingsSeven critical design themes are identified for the RTRC garden: (1) space layout and organization, (2) physical and visual access, (3) pathway and facility, (4) multisensory vegetation, (5) amenity, wayfinding and seasonal interest, (6) cognitive stimulation, (7) utility and HT. Qualitative and quantitative data analysed in visual and descriptive format reveal multisensory vegetation, amenity, wayfinding and seasonal interest, and utility and HT are the top three most pivotal critical design themes in the RTRC therapeutic garden.Research limitations/implicationsThe findings of this case study can be used to impart knowledge about the design of therapeutic landscape settings for cognitive impairments to design professionals and the public.Originality/valueThere is no case study has been conducted for this precedent of therapeutic garden in the Royal Talbot rehabilitation centre that targets for cognitive impairment patients. With the increasing awareness in medical and healthcare environments, this case study would help to inject mutual understanding, generate knowledge and design awareness among design professionals and public, and to cultivate more good quality healthcare settings.

Advancing arboriculture through human and tree ecology

This paper explores the significance of ecosystem functions in maintaining the health and balance of ecological systems, particularly in the context of planning, managing, and maintaining trees in landscape settings. It emphasises the multifaceted relationship between humans and trees, encompassing cultural, ecological, economic, and emotional connections, and underscores the value of traditional ecological knowledge alongside empirical science. By combining these two ways of knowing, along with social science insights into human health and well-being, future landscapes can be crafted to be sustainable, diverse, and functional. As urbanisation continues to shape landscapes globally, urban planners face the challenge of managing rapidly changing environments. Urban forestry and arboriculture have emerged to address these challenges, aiming to enhance environmental quality and human well-being. The concept of Nature-based Solutions (NbS) has gained traction, recognising the importance of integrating natural systems into urban planning to address environmental challenges while preserving functional ecosystems. This paper advocates for an enhanced understanding of tree and human ecology to navigate the complex relations between trees, people, and their environments. It calls for interdisciplinary collaboration, research, and education to inform policy, assess environmental impacts, and widen approaches to ecosystem management. By monitoring ecosystem health and collaborating across disciplines, arboriculturists and urban foresters can shape resilient practices for tree conservation and sustainable urban development. In conclusion, integrating tree ecology into urban planning and management practices is essential for ensuring the health, resilience, and sustainability of tree populations and the ecosystems they inhabit. By embracing a holistic understanding of trees and their environments, professionals can contribute to shaping future landscapes that support both human well-being and biodiversity.

Brain waves and landscape settings: emotional responses to attractiveness.

Neuro-architecture is a specific branch of architecture that studies how the physical environment can change our mental processes and influence our behaviors. One of the main purposes of this field is to use changes in brain activities as a measure to quantify attractiveness of the landscapes. In this study, we investigated how changes in elements of attractiveness influence ones' emotional perception and present the related pattern of changes in brain activities. Therefore, we implied five elements of attractiveness including mystery, visual openness, landscape or greenness, walkability, and social interaction using the Delphi method. Then, we made changes in each element separately to make the landscape more attractive and assessed their effects on a group of young adults. We used the self-assessment manikin questionnaire to measure the participants' emotional perception while the participants' brain activities were recorded using a 32-channel EEG while exposed to the landscape images. The results showed that changes in attractive elements of the landscape could significantly improve ones' emotional perception of the landscape. In addition, these changes are perceived by changing the oscillatory pattern of brain activities. We hope these findings could shed a light to use of neural markers in measurement of place attractiveness.

Malaria transmission heterogeneity in different eco-epidemiological areas of western Kenya: a region-wide observational and risk classification study for adaptive intervention planning

BackgroundUnderstanding of malaria ecology is a prerequisite for designing locally adapted control strategies in resource-limited settings. The aim of this study was to utilize the spatial heterogeneity in malaria transmission for the designing of adaptive interventions.MethodsField collections of clinical malaria incidence, asymptomatic Plasmodium infection, and malaria vector data were conducted from 108 randomly selected clusters which covered different landscape settings including irrigated farming, seasonal flooding area, lowland dryland farming, and highlands in western Kenya. Spatial heterogeneity of malaria was analyzed and classified into different eco-epidemiological zones.ResultsThere was strong heterogeneity and detected hot/cold spots in clinical malaria incidence, Plasmodium prevalence, and vector abundance. The study area was classified into four zones based on clinical malaria incidence, parasite prevalence, vector density, and altitude. The two irrigated zones have either the highest malaria incidence, parasite prevalence, or the highest malaria vector density; the highlands have the lowest vector density and parasite prevalence; and the dryland and flooding area have the average clinical malaria incidence, parasite prevalence and vector density. Different zones have different vector species, species compositions and predominant species. Both indoor and outdoor transmission may have contributed to the malaria transmission in the area. Anopheles gambiae sensu stricto (s.s.), Anopheles arabiensis, Anopheles funestus s.s., and Anopheles leesoni had similar human blood index and malaria parasite sporozoite rate.ConclusionThe multi-transmission-indicator-based eco-epidemiological zone classifications will be helpful for making decisions on locally adapted malaria interventions.

The Ruined Landscapes of Beowulf : Apocalypse and Hope

Abstract: A wide variety of scholars have examined the settings of the Old English epic Beowulf , interpreting the text in a myriad of ways and providing valuable information on sources and analogues. This article seeks to build upon and add to this body of scholarship by applying landscape history and a variety of archaeological evidence to the poem in order to develop a further understanding of the landscape settings of Beowulf as literary representations of real topographical features of early medieval England. Attention is paid to the mere and lair of the Grendle-kin, the barrow of the dragon, and Beowulf’s own final resting place. Analysis of these landscapes, grounded in the historical topography of England, enhances an interpretation of the text as a statement on humanity’s relationship with the past and hope for the future.

Salient features and ecosystem services of tree species in mountainous indigenous agroforestry systems of North-Eastern Tanzania

Indigenous agroforestry systems in tropical mountainous environments provide crucial ecosystem services, but these ecosystems are also facing some challenges. A loss of diversity and native tree species in the overstory layer has been a growing concern in agroforestry worldwide, yet the drivers behind it remain inadequately understood. We hypothesize that the choice of overstory tree species is closely linked to the ecosystem services required by farmers, their livelihood strategy, and the salient features of each system. We, therefore, investigated four different farming systems in the mountains of northeastern Tanzania, i.e., the Kihamba on Mt. Kilimanjaro, Ginger agroforestry in the South Pare mountains, and Miraba and Mixed spices agroforestry in the West and East Usambara. In 82 farms, we collected data on the structure, tree species composition (both native and non-native), diversity, and associated provisioning ecosystem services as identified by smallholder farmers. Our results indicate that although all studied systems are multi-layered with three or four vertical layers, they have notable differences in their salient features concerning structure, composition, and diversity. The unique climate, landscape setting, soil, historical background, and economic opportunities that exist in each region contribute to those differences. Our findings indicate that the Kihamba system had the highest number of native tree species, and the largest diversity in species used for provisioning services, followed by Ginger agroforestry. No native species were used in Miraba or Mixed spices agroforestry, where a limited number of non-native tree species are planted mainly for fuel and timber or as a crop, respectively. Our findings regarding reported provisioning ES corroborate our hypothesis and imply that policies to increase resilience and restore the native tree species cover of the agroforestry systems of Tanzania can only be successful if knowledge of the ES potential of native species is increased, and interventions are tailored to each system’s ES needs for conservation as well as livelihood.

Linking intrinsic scales of ecological processes to characteristic scales of biodiversity and functioning patterns

Ecology is a science of scale, which guides our description of both ecological processes and patterns, but we lack a systematic understanding of how process scale and pattern scale are connected. Recent calls for synthesis between population ecology, community ecology, and ecosystem ecology motivate the integration of phenomena at multiple organizational levels. Furthermore, many studies leave out the scaling of a critical process: species interactions, which may be non‐local through movement or foraging and must be distinguished from dispersal scales. Here, we use simulations to explore the consequences of three different process scales (species interactions, dispersal, and the environment) on emergent patterns of biodiversity, ecosystem functioning, and their relationship, in a spatially‐explicit landscape and stable equilibrium setting. A major result of our study is that the spatial scales of dispersal and species interactions have opposite effects: a larger dispersal scale homogenizes spatial biomass patterns, while a larger interaction scale amplifies their heterogeneity. Interestingly, the specific scale at which dispersal and interaction scales begin to influence landscape patterns depends on the scale of environmental heterogeneity – in other words, the scale of one process allows important scales to emerge in other processes. This interplay between process scales, i.e. a situation where no single process dominates, can only occur when the environment is heterogeneous and the scale of dispersal small. Finally, contrary to our expectations, we observe that the spatial scale of ecological processes is more clearly reflected in landscape patterns (i.e. distribution of local outcomes) than in global patterns such as species–area relationships (SARs) or large‐scale biodiversity–functioning relationships. Overall we conclude that long‐range interactions often act differently and even in opposite ways to dispersal, and that the landscape patterns that emerge from the interplay of long‐ranged interactions, dispersal and environmental heterogeneity are not well captured by often‐used metrics like the SAR.

Immigrants’ habitus transference and recreational expectations in urban parks cultural landscape settings

ABSTRACT This paper draws attention to the importance of immigrants’ efforts to maintain their cultural identities, which are often manifested through the way they use the built environment for recreational activities. It investigates the way recent first-generation Iranian immigrants use the Australian cultural landscape, specifically urban parks, for recreational activities. The process of habitus transference and the role of park settings and design characters in immigrants’ use of these spaces are examined by applying Q methodology with photographs, along with observation and semi- structured in-depth individual interviews. This study suggests that in the process of habitus transference recent immigrants tend to undertake recreational activities in the settings that support their understanding of landscape as mediated by their cultural background. It highlights the recent immigrants’ expectations of these spaces and the importance of a ‘fit’ between habitus and the park settings in generating a ‘sense of belonging’. However, the settings that are not aligned with the immigrants’ expectations and understanding of park spaces may alter their patterns of use after migration. The results of this study support urban park settings that offer a broad range of experiences: from naturalness to developed settings suitable for social activities.

Can fusion of vis-NIR and MIR spectra at three levels improve the prediction accuracy of soil nutrients?

Soil nutrients are an important component of soil fertility, and having accurate and timely soil nutrients information is conducive to scientifically guided agricultural fertilization and improved crop yields. Traditional soil nutrient measurement methods are accurate but time-consuming and costly. Visible near-infrared (vis-NIR) and mid-infrared (MIR) as techniques of spectroscopy measurements are cheap, fast, and non-destructive, and, after training, have been used separately to predict soil nutrients. They can give complementary information, so using them separately may not be optimal. This study investigated whether the fusion of vis-NIR and MIR spectra would improve the prediction of six soil nutrients: total nitrogen (TN), total phosphorus (TP), total potassium (TK), alkali-hydrolyzable nitrogen (AN), available phosphorus (AP) and available potassium (AK). The sample set was 501 tillage (0 ∼ 20 cm) soil samples from Guizhou Province (China). Three different sensor fusion techniques were compared: (1) direct fusion of spectra (low-level fusion; SF1); (2) fusion of spectral features selected by the least absolute shrinkage and selection operator (LASSO) algorithm (middle-level fusion; SF2); and (3) fusion using the Granger-Ramanathan averaging (GRA) method of the separate vis-NIR and MIR results (high-level fusion; SF3). Prediction models were built using partial least squares regression (PLSR) and support vector machine (SVM), and evaluated using leave-one-out cross-validation (LOOCV), coefficient of determination (R2), and ratio of performance to interquartile (RPIQ), defined as Rcv2 and RPIQCV. All three sensor fusion methods were more accurate than single-sensor methods in predicting TN, TK and AN (0.60 ≤ Rcv2 ≤ 0.92, 1.86 ≤ RPIQCV ≤ 5.08), but were less accurate for TP, AP and AK (Rcv2 ≤ 0.34, RPIQCV ≤ 1.55). Compared to the best prediction using each single sensor model, low-level fusion improved the prediction of TN and AN; middle-level fusion improved the prediction of TN, TP, AN, AP and AK; and high-level fusion improved the prediction of all soil nutrients. Moreover, the SF2-PLSR model provided the best prediction for TN (Rcv2 = 0.83, RPIQCV = 3.18), the SF2-SVM model for AN (Rcv2 = 0.67, RPIQCV = 2.06), and the SF3-PLSR model for TK (Rcv2 = 0.92, RPIQCV = 5.08). The SF2 and SF3 methods are recommended to predict TN and AN, and MIR spectra are recommended to predict TK (Rcv2 = 0.92, RPIQCV = 5.02) since using only a single sensor is cost-effective. The SF2 and SF3 methods improved the prediction accuracy of AP and AK, but the prediction accuracy was still low. This study only covered one area with its set of soil landscapes, and only used well-established modelling methods. The results can motivate research on new spectra techniques and advanced modelling methods, as well as transferability to other soil landscapes.

Buildings for Higher Education in Africa

Access to formal education has long been considered essential to progress by people in Africa. The design and building of educational institutions were also an important part of the post-war modernism construction boom around the world and on the African continent, coinciding with post-independence nation-building. From the 1940s through to the early 1970s, ambitious nations from Algeria to Zimbabwe invested in universities and higher educational buildings as both literal and physical centers of intellectual advancement for their nations’ youth in that jubilant era, heralding freedom from colonization and the emergence of self-rule.More than half a century later, these edifices borne of hope and expectation have generally stood the test of time and remain recognizable features in many African cities and landscape settings. How these structures have fared architecturally and how they have been adapted or incorporated into contemporary life varies by country, institution, and socio-political context: an important subject to be studied. As the provision of educational buildings is still important to African nations and is part of the global sustainable development goals, what better time to revisit those purpose-built institutions in a time of hope and exuberance? Especially as their relevance remains critical to the development of Africa’s best and brilliant young minds?This special issue of the Docomomo Journal focuses on educational institutions, particularly universities and other higher educational establishments built in Africa from the late 1940s to the 1970s, as instances of shared’ social, political, cultural, economic, and architectural heritage. This architectural heritage has been shared through actions of coercion, co-option, and co-operation between various proximal African countries, former colonial powers, and contemporary socio-economic partners. Many contributions are linked to the Shared Heritage Africa (SHA) Project—funded by the German Foreign Ministry (Auswärtiges Amt)—, which focused on the documentary rediscovery of modern university campuses as examples of cultural landscapes from the period of independence from colonial rule.

‘Remember the days of old, consider the years of many generations’

The study of chapel-sites in any part of north and west Britain and Ireland is not easy. Contemporary documentary references are rare, and archaeological work has traditionally been site-specific, with interpretations often contested. In Lewis, the northernmost island of the Outer Hebrides, or Western Isles, of Scotland, this situation is magnified due to an almost complete lack of any surviving historical documents relating to the island prior to the 17th century, and of any archaeological work other than ad hoc rescue work. As the first extensive survey of chapel-sites to be undertaken in Lewis, the completion and publication of the Lewis Coastal Chapel-sites Survey is therefore a crucially important starting point in the analysis of these understudied sites. The survey identified 37 known chapel-sites on the Lewis mainland and outlying islands, and thus testifies to a vibrant landscape of Christian belief from the early medieval period onwards. Since being published (Barrowman 2020) it has provided a baseline, to which this paper adds an overview and brief discussion of site distribution, building form, landscape setting, potential dating, relation of sites to place-names and local traditions, and the setting of chapel buildings within the local identity and culture of medieval Lewis. In common with the Hebrides as a whole, most chapel buildings in Lewis, where discernible, are single-chambered with a doorway in the south wall and a window in the east gable wall, and most have approximated length–breadth ratios of 1:1.5 or 1:1.6. The exceptions to this are the small chapels on the outlying islands of North Rona and the Flannans, and on one mainland site in Lewis situated on a high headland. Visible from the busy routeways around Lewis, associated with early place-names, it is suggested that these sites, while potentially early, were not secluded and remote from the world. The evidence within the suite of sites for Viking Age or Late Norse chapels is also explored, particularly those bicameral chapels built directly into mounds or areas of earlier material. Finally, the place of chapel-sites in the Lordship and beyond is discussed, with particular emphasis on local identity and tradition in the district of Ness at the north end of Lewis.