Define Land Use Research Articles

Effects of land-use mitigation scenarios on urban heat island intensity in Istanbul

This is the first comprehensive study to examine how urbanization affects the microclimate of Istanbul using the urban climate model MUKLIMO_3 with a 200 m horizontal resolution. In this study, the parameters in the land use table were estimated for Istanbul by combining different land use data sets and creating a high-resolution land use distribution. A specified heat wave episode was simulated via MUKLIMO_3 by using defined land use, meteorological sounding, and surface measurements. The findings suggest that MUKLIMO_3 can reasonably capture the 24-h daily temperature variation in both rural and urban locations, but it has a negative bias compared to station observations. We also employ eight mitigation scenarios by changing the albedo of roofs and implementing green-roofs and walls. All scenarios reduced air temperatures to varying degrees in urbanized areas along the northern Marmara coastline on both sides of Istanbul during daylight hours. The white and hybrid scenarios resulted in a temperature drop of up to 2 K at 12:00 UTC, with the most significant cooling effect observed in hybrid 4. Increasing the albedo of roofs from 0.5 to 0.7 resulted in the spatial expansion of cooled areas towards the north of the city along the Bosphorus. However, green roof scenarios are not found to be as effective as high-albedo scenarios.

CHARACTERIZATION OF SOIL PHYSICAL AND CHEMICAL ATTRIBUTES IN DIFFERENT AGROECOSYSTEMS AND PEDOFORMS IN AREIA, PARAÍBA, BRAZIL

Knowledge of soil attributes is a basic premise when defining land use systems, as well as in the monitoring of the properties and/or quality indicators of the cropping systems implemented. The objective of this study was to characterize the physical and chemical attributes of Argissolo and Gleissolo in areas under different uses and landforms in the municipality of Areia, PB, Brazil. Areas with different uses were selected, such as banana (Musa parasidiaca), pasture (Brachiaria brizantha), reforestation with ‘sabiá’ (Mimosa caesalpiniaefolia), and open tropical forest, as well as two relief positions (foothill and mid-slope). Samples were taken from the 0.00-0.20 and 0.20-0.40 m layers. The samples were then air-dried, crumbled, and passed through a sieve with a 2 mm mesh to obtain fine air-dried soil. Physical, chemical, and fertility analyses were carried out and cation exchange capacity, sum of bases, and base saturation were calculated. According to the results, in general, the soil physical and chemical attributes were altered by land use and landforms. Soil organic matter levels in the surface layer were higher in the deposition foothills, while in the mid-slope the forest environments (natural or forested) showed higher levels of organic matter.

National-scale spatial variations of soil phosphorus retention capacity in Brazil

Phosphorus (P) retention capacity of soils directly affects the management of phosphate fertilization, and has economic and environmental importance. Brazil has expressive agricultural production and high edaphoclimatic variability; still, the detailed spatial distribution of P retention capacity is not known. Thus, machine learning models were created to estimate the P retention capacity of soils at superficial horizons using the variables: clay content, sand content, soil organic matter, pH, base saturation. The four best models were combined to create an ensemble (a combination of models), which was applied in a dataset (5524 samples) that comprises a sample data from the entire Brazilian territory. The ensemble was used to build a map of P retention capacity. Most of the country presented soils with medium P retention (40–60%), and large areas with very high retention capacity were found in the south of Brazil, a subtropical region mostly associated with clayey soils. High P retention was observed for Histosols, probably related to humic-Al(Fe) complexes. Nitisol, Ferralsol, Gleysol and Cambisol classes presented high P retention, especially for clayey soils with qualifiers related to bases/weathering (Dystric) and organic matter (Umbric and Humic). The correlation between Fe oxide minerals and P retention varied with soil color and drainage conditions mainly associated to redoximorphic reactions; the same was not observed for Al oxide minerals. This pioneer study revealed the distribution of P retention capacity across different soil classes in Brazil, which can help to define land use suitability and soil P management strategies that ensure profitable agricultural exploration.

Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters

Land use/cover (LU/LC) classification provides proxies of the natural and social processes related to urban development, providing stakeholders with crucial information. Remotely sensed images combined with supervised classification are common to define land use, but high-performance classifiers remain difficult to achieve, due to the presence of model hyperparameters. Conventional approaches rely on manual adjustment, which is time consuming and often unsatisfying. Therefore, the goal of this study has been to optimize the parameters of the support vector machine (SVM) algorithm for the generation of land use/cover maps from Sentinel-2 satellite imagery in selected humid and arid (three study sites each) climatic regions of Iran. For supervised SVM classification, we optimized two important parameters (gamma in kernel function and penalty parameter) of the LU/LC classification. Using the radial basis function (RBF) of the SVM classification method, we examined seven values for both parameters ranging from 0.001 to 1000. For both climate types, the penalty parameters (PP) showed a direct relationship with overall accuracy (OA). Statistical results confirmed that in humid study regions, LU/LC maps produced with a penalty parameter >100 were more accurate. However, for regions with arid climates, LU/LC maps with a penalty parameter >0.1 were more accurate. Mapping accuracy for both climate types was sensitive to the penalty parameter. In contrast, variations of the gamma values in the kernel function had no effect on the accuracy of the LU/LC maps in either of the climate zones. These new findings on SVM image classification are directly applicable to LU/LC for planning and environmental and natural resource management.

Using LiDAR System as a Data Source for Agricultural Land Boundaries

In this study, LiDAR sensor data were used to identify agricultural land boundaries. This is a remote sensing method using a pulsating laser directed toward the ground. This study focuses on accurately determining the edges of parcels using only the point cloud, which is an original approach because the point cloud is a scattered set, which may complicate finding those points that define the course of a straight line defining the parcel boundary. The innovation of the approach is the fact that no data from other sources are supported. At the same time, a unique contribution of the research is the attempt to automate the complex process of detecting the edges of parcels. The first step was to classify the data, using intensity, and define land use boundaries. Two approaches were decided, for two test fields. The first test field was a rectangular shaped parcel of land. In this approach, pixels describing each edge of the plot separately were automatically grouped into four parts. The edge description was determined using principal component analysis. The second test area was the inner subdivision plot. Here, the Hough Transform was used to emerge the edges. Obtained boundaries, both for the first and the second test area, were compared with the boundaries from the Polish land registry database. Performed analyses show that proposed algorithms can define the correct course of land use boundaries. Analyses were conducted for the purpose of control in the system of direct payments for agriculture (Integrated Administration Control System—IACS). The aim of the control is to establish the borders and areas of croplands and to verify the declared group of crops on a given cadastral parcel. The proposed algorithm—based solely on free LiDAR data—allowed the detection of inconsistencies in farmers’ declarations. These mainly concerned areas of field roads that were misclassified by farmers as subsidized land, when in fact they should be excluded from subsidies. This is visible in both test areas with areas belonging to field roads with an average width of 1.26 and 3.01 m for test area no. 1 and 1.31, 1.15, 1.88, and 2.36 m for test area no. 2 were wrongly classified as subsidized by farmers.

A machine learning approach for integration of spatial development plans based on natural language processing

Spatial development plans are the basic tool for shaping spatial policy and have an impact on the implementation of the concept of sustainable development. Monitoring the implementation of plans can be difficult where no standard of plans exists that allows for obtaining comprehensive information on the arrangements of the plans, including future land development. The purpose of the research is to integrate spatial development plans by analyzing and classifying their textual content. We use machine learning methods for the processing of the text of plans and their classification. The result is a model, that classifies the texts of findings for individual areas in the plan into defined land use categories. We use machine learning methods in natural language processing for the analyzing of the text part of plans and their classification. The results indicate the best quality of the model when using neural networks. The proposed approach allows for obtaining comprehensive information on the planned land use of the area, derived from many heterogeneous planning documents. Due to the combination of textual arrangements with spatial data, it allows both for the unification of land use classification and then integration of multiple spatial development plans in spatial dimension.

Wind erosion response to past and future agro-pastoral trajectories in the Sahel (Niger)

ContextWind erosion plays a major role in land degradation in semi-arid areas, especially in the Sahel. There, wind erosion is as sensitive to land use and land management as to climate factors. Future land use intensification may increase wind erosion and induce regional land degradation.ObjectiveWe aimed to estimate wind erosion responses to changing land management in a Sahelian region.MethodsWe defined land use intensification scenarios for a study site in southwestern Niger for two historical situations (1950s and 1990s), and two alternative prospective scenarios (2030s: extensive or intensive). We simulated vegetation growth and horizontal sediment flux of wind erosion for the corresponding landscapes.ResultsAnnual amounts of horizontal sediment flux increased with land management changes from 1950s (nil flux) to 1990s (176 kg m−1 yr−1) and 2030s (452 to 520 kg m−1 yr−1), mostly because of differences in land use, declining soil fertility, and practices decreasing the dry vegetation. For 2030s, intensive scenario exhibited larger vegetation yields than extensive conditions, but similar large values of horizontal sediment flux, thus questioning the sustainability of both scenarios. Realistic sets of practices had as large an influence as the largest theoretical range of practices on the variability of annual horizontal sediment flux. This variability was as large as that due to meteorological conditions.ConclusionsThis study demonstrates that the environmental impact of land use and management practices, of which wind erosion is an aspect, must be assessed at the landscape scale to account for the variability in land cover and associated land management.

Quantifying contaminant losses to water from pastoral landuses in New Zealand I. Development of a spatial framework for assessing losses at a farm scale

ABSTRACT Assessing the effectiveness of mitigation measures for reducing contaminant losses to water from pastoral farming systems is a challenging task. Two important factors that contribute to this challenge are (i) the considerable spatial variability in landscape vulnerabilities to contaminant loss and (ii) differing land use pressures created by contrasting land management practices that are employed on farms. An approach is described that benchmarks nitrogen (N), phosphorus (P) and sediment discharges for representative dairy and sheep-beef farming types (hereafter referred to as ‘typologies’) that differ according to inherent landscape vulnerability features or land use pressures created by some key management practices. Landscape vulnerabilities can be defined as the soil, topography and climate factors that are known to influence the inherent risk of contaminant transport to water, whereas land use pressures reflect the diverse set of farm inputs and feed, stock and soil management practices that determine contaminant sources. The analysis was constructed using land use pressure information for the year 2015 contained within Dairybase records held by DairyNZ and farm class surveys reported by Beef + Lamb NZ. Published information sources and expert opinion from rural professionals were also used to define land use pressures for typologies in 1995.

Mapping Food Production in Hyper-Arid and Arid Saharan Africa in the Holocene—A View from the Present

The reconstruction of land use practices in hyper-arid Saharan Africa is often hampered by the accuracy of the available tools and by unconscious biases that see these areas as marginal and inhospitable. Considered that this has been for a long time the living space of pastoral mobile communities, new research is showing that agriculture might have been more important in these areas than previously thought. In this paper, after a review of present-day land use strategies in Saharan Africa, we show how ethnographic and ethnoarchaeological data can offer us a different point of view and help in better defining land use and food production strategies in this area. Ultimately, these insights can be integrated into the ongoing efforts to reconstruct past land use globally.

Farmer’s agency and institutional bricolage in land use plan implementation in upland Laos

This paper looks at the (re)shaping of local institutional arrangements within the context of land use planning processes in Laos, bringing to light their dynamic and co-constitutive relationship. Taking Pa Khom village in Houaphan province as a case study, it examines how local tenure institutions are (re)produced, (re)assembled and adapted to mirror farmer’s livelihood strategies to meet households’ food security, while also conforming to the defined land use plan. Drawing on examples of changes in swidden agriculture and village grazing land arrangements introduced as part of land use planning, the paper highlights the important role played by local communities – acting autonomously, collectively and in relation to external agents – in reconfiguring the relationship between natural resources and institutional orders. It illustrates how farmers employ institutional bricolage to creatively assemble and reshape their land use arrangements to comply with the defined land use plan, thus ensuring it meets their locally embedded livelihood priorities, albeit with different distributional outcomes for various farm households. Linking farm households’ strategies with inter-household and village level institutional arrangements, the paper shows how institutional bricolage contributes to synergizing the different rationales behind land use planning processes.

RECALCULATION OF FOREST INCREMENT, MORTALITY AND HARVEST RATE IN LATVIA ACCORDING TO UPDATED LAND USE DATA

National forest inventory (NFI) is an efficient way to monitor forest resources, including increment, mortality, and harvest rate. It provides accurate statistical information about land use data, land use change and biomass stock change and enables to tie the specific increment, mortality and harvest data to defined land use category, dominant tree species, site types etc. Recently there have been introduced changes in land use calculation method using NFI data in Latvia. New calculation method takes into account present land use data and land use data from two previous cycles considerably reducing uncertainty of the estimates and takes into account possible land management practices which may alter the land use category in long-term, also usage of auxiliary data has been introduced to increase accuracy of determination of final land-use category. Changes in land use calculation method directly affects distribution of data on increment, morality and harvests between land use categories. The aim of the study is to determine increment, mortality and harvest rate in Latvia between the first and third NFI cycle (2004-2018) using updated land use data and to compare obtained result with data from the most recent greenhouse gas (GHG) inventory report.

The utilization of ecosystem services mapping in land use planning: the experience of LIFE SAM4CP project

Ecosystem Service assessment requires better integration of the information that supports land use decisions. Nevertheless, the interpretation of maps and their utilisation to address sustainability during the land use planning process remains critical, especially at a local scale. In this study, a Geographic Information System-Based approach is presented to transform an Ecosystem Service biophysical multipart analysis into a composite parcel-scale indicator, mainly using Esri ArcGIS (version 10.5) functions, and particularly: (i) the Weighted Overlay, (ii) Hotspot Analysis and (iii) Aggregation of Polygons. This methodology has been used experimentally in three municipalities of the metropolitan city of Turin (Italy) during the LIFE SAM4CP project. The study aims to demonstrate how the operationalisation of Ecosystem Service assessment in planning aided Local Administrations in defining land use planning priorities, such as the identification of land take control strategies and the definition of Urban Growth Boundaries.

Analyzing Fringe Belt Phenomenon in the Historico - Geographical Structure of Milan, Italy

The object of this paper is to identify the specific land use patterns in relation to a general framework of the fringe belts formation and modification through the urban expansion of Milan, a city with solid Italian planning tradition, by defining strong characteristics and land use transformations through comparative map analysis in a consistent timeline period. Adapting the study of fringe belts, as signatures of the pulsations of urban growth, and a reflection of urban space needs beyond those of the residential and retail sectors, is pertinent as it contributes to understand each phase of city alteration and urban growth and relate them to economic and political forces linked to the contemporary development of metropolitan areas. Applied adequately, fringe belt studies have been taken in different parts of Europe, but few have been done in Italy. This research, as a comparative study of superposition data approach, has aimed to verify the true development pattern of a city with dynamic typo-morphological transitions, with powerful industrial and service sector shifts recently, strictly reflecting on the shaping of the overall urbanized territory. A general study of the urban evolution has been undertaken and development of the municipality has been observed with a focus on defining land use maps, and obtaining a comparative data analyzes by overlapping and tracking land use transformations and expounding fringe belt modifications through different expansion periods of the urban territory. In the contemporary city, fringe belts can play crucial role as vast green open spaces for recreation and leisure, natural boundaries from harmful industrial surroundings, as well as ecological corridors and mediums for natural systems maintenance and natural remedy to improve the quality of life and provide healthier environments for the overall urban systems. Adapting the study of fringe belts in a regulated conceptual framework, and referring them into the historico-geographical structure of the urban development could lead up to adequate planning and urban design strategies that aim to improve the quality of life in contemporary urban landscapes.

Influence of rainy season and land use on drinking water quality in a karst landscape, State of Yucatán, Mexico

To understand the impacts of dry and wet seasons and land use on water quality in a karst system, twenty-one deep municipal wells were sampled synoptically across the State of Yucatán. Surrounding land uses comprised urban, crop, and livestock as defined by the National Institute of Statistics and Geography of Mexico. Measurements included pH, temperature, specific conductance, Ca2+, Mg2+, Na+, K+, Cl−, SO42−, alkalinity, NO3−, and fecal coliforms. Data were reduced using various geochemical, statistical, and spatial analytical methods and compared to a similar study on cenotes (sinkhole). Results show that 1) groundwater is diluted during the rainy season, but not for all parameters; 2) the geochemical structure of the water is obscured during the wet season; 3) the change in values for most parameters differs from that in the cenotes, however for both, fecal coliforms are higher in the wet season; 4) the relationship of land use to water quantity is unclear, however some influence of agriculture and urban were observed, and 5) water quality is at risk in both dry (NO3−) and wet (fecal coliforms) seasons. It is hypothesized that these results may be explained by changes in dominant flow paths between dry (matrix, fracture flow) and wet (conduit flow) seasons. In addition, results suggest that rock-water interactions, hydrology, and land cover maybe more important in understanding the influence on water quality than land use. Clearly, understanding the impact of both land use and season on groundwater quality in any karst environment is challenging. Further work should include using different methods for defining land use need to be explored and a more diverse set of water quality measurements need to be made.

Assessing the effectiveness of a land zoning policy in the Dry Chaco. The Case of Santiago del Estero, Argentina

Land use zoning has been proposed as an instrument to steer sustainable land use and reduce deforestation. Its effectiveness is a growing concern among researchers and decision makers. Nowadays, the dry forests of the Argentine Chaco are a global hotspot of deforestation, where a zoning policy has been established through the enactment of a National Forest Law. The law imposed on the provinces the obligation to define land use zones in their native forests. Ten years after the enforcement of the National Forest Law, we assessed the effectiveness of the zoning policy of Santiago del Estero, one of Argentina’s provinces with higher deforestation rates. For this, we combined the provincial forest zoning with the extent of forest cover and a plot level land transformation geodatabase. The deforested area halved during the five-year period after the enactment of the law, decreasing from 910 103ha in 2003–2008 (i.e. before the law) to 450 103ha in 2009–2014. Most of this forest cover loss (257 103ha) occurred in areas classified under categories where deforestation was forbidden. After the enactment of the Law, annual deforestation rates decreased mostly in areas that allowed deforestation, slightly decreased in areas where deforestation was forbidden and increased in areas where a certain level of deforestation was allowed, although above that level. Despite the reductions in deforestation rates, our results suggest that the zoning policy in Santiago del Estero was not effective enough, since deforestation occurred in forbidden areas and generally surpassed the level of deforestation permitted. Alternative coercive mechanisms (e.g. more severe penalties for offenders) and greater efforts to detect illegal clearings are needed to enhance the effectiveness of the Forest Law.

Erratum to: The Nice Musical Chairs model. Exploring the role of competition and cooperation between farming and herding in the formation of land use patterns in arid Afro-Eurasia

Following a strictly theory-building approach, we developed an agent-based simulation model, the Nice Musical Chairs model, to represent the competition between groups of stakeholders of farming and herding activities in the arid Afro-Eurasia. The model deepens the questions raised by the results of our former model, the Musical Chairs model, and further introduces three socio-economic mechanisms, which modulate the behavior and performance of stakeholders and their groups. First, we define land use pairing as the awarding, regarding productivity, of any direct cooperation between farming and herding within a group. Second, group management is modeled as the prerogative of a group leadership to manage stakeholders to pursue a particular proportion between farming and herding. Third, we introduce restricted access to pasture as the engagement in territorial control of rangelands in opposition to an open access regime. An exhaustive exploration of scenarios and parameters placed the control over rangelands as the most significant factor in the formation of land use patterns, followed by land use management. While the effect of land use pairing is mild in comparison, it is still a significant factor in group selection and thus in the persistence of particular land use patterns in the long run.

Decentralized Land Use Zoning Reduces Large-scale Deforestation in a Major Agricultural Frontier

Reducing large-scale deforestation is a key objective of global efforts to mitigate climate change. An important debate concerns the levels of governance at which deforestation can be reduced effectively. Political economic theory and evidence suggests that national governments are more likely than subnational governments in agricultural frontiers to adopt restrictive forest conservation policies, due to differences in political constituencies and capacity. Here we examine the validity of this claim using an impact study of provincial-level land use planning in Argentina's main deforestation frontier, the Dry Chaco. In 2007, Argentina's provinces were obliged to define land use zoning for their native forests, but had considerable leeway in its implementation. We use data from 30,126 properties in the provinces of Salta, Santiago del Estero, and Chaco, and a rigorous counterfactual estimation strategy to quantify the extent to which adopted zoning plans affected deforestation. We find evidence that provincial-level land use zoning reduced deforestation in all three provinces, but not in all zones and periods. Differences in impact are associated with differences in the location of zones and the timing of planning. Our findings suggest that subnational governments can make important contributions to reducing large-scale deforestation in agricultural frontiers.

Geostatistical assessment of soil salinity and cropping systems used as soil phytoremediation strategy

Salinity is one of the major problems affecting soils of arid and semi-arid environments. This research, carried out around a Mediterranean wetland area, aimed to assess the spatial distribution of soil properties (salinity, texture fractions, pH, organic matter and % of carbonates) by using soil laboratory and geostatistical analysis to determine an adequate strategy for soil remediation. Ordinary kriging was applied to map soil properties and field observations were used to define land use classes. Better map accuracy was obtained for these soil properties: electrical conductivity (EC) (RMSE=0.529dSm-1), clay (RMSE=9.1%), silt (RMSE=7.28%) and sand (RMSE=10.69%). The results suggested an opposite relation between silt and sand and a clear distribution of electrical conductivity of soils. Moreover, comparing with the observed land use classes, plants cultivated around the wetland seem to be distributed due to their tolerance to soil salinity. Permanent crops were restricted to less salinized soil, whereas arable crops were close to saline zones and uncultivated areas appear in the most salinized areas. Cropping systems can be used as an effective strategy for salinity control and phytoremediation.

European scale analysis of phospholipid fatty acid composition of soils to establish operating ranges

Recent preoccupations regarding possible negative effects of pollution, inappropriate land management, climate change, desertification, erosion, compaction or over-exploitation on soils has led to initiatives for the survey of soils. One of them, EcoFINDERS, launched a pan-European survey in order to define normal operating ranges for soil biodiversity and quality, through the use of several methodologies. The objective of the current work was the characterization of European soils under different land uses and from representative bio-geographical locations, using a PLFA method developed in the context of the mentioned survey, in order to recognize and define operation ranges for soil PLFA. PLFA analysis demonstrated to be a valuable tool in the evaluation, comparison and distinction of several land uses and biogeographical (BG) zones. The analysis of the PLFA diversity with PCA and PERMANOVA/SIMPER demonstrated a good separation of soil samples relatively to each defined land use and BG zone. Soils of the same BG zone and land use group showed an average biomarker constitution with consistent differences of PLFA/biomarker compositions relatively to other groups, especially concerning land uses. Total PLFA biomass was consistently higher in non-arable environments, i.e., forest or grass soils. Arable soils contained a total PLFA biomass that was in average 2.5–2.9 times lower than grassland or forest soil. Arable and grassland soils contained significantly low relative quantities of the saprophytic Fungi biomarker 18:2ω6,9c (which decreased more than 18:1ω9c), and low Total Fungi biomarkers/Bacteria biomarkers ratio (TF/B). The opposite occurred in forestry soil samples, and the Boreal BG zone stood out, showing the highest total fungal composition, with a most important contribution of the 18:2ω6,9c saprophytic Fungi biomarker. Grasslands (all BG zones) showed to be the richest (3.5–3.8%) in Arbuscular Mycorrhizae Fungi biomarker, 16:1ω5c. High proportions of Gram-positive, relatively to Gram-negative biomarkers occurred essentially in arable soils, in this study, but also in Alpine grasslands, which main Gram-positive biomarkers were a15:0, and i15:0. Total biomass, PLFA Biomarker groups, and different balances between individual PLFA enabled the discrimination of samples originating from both different BG zones and land uses.

An assessment of land use sources of barriers and the community-based housing model in the UK

Purpose – The aim of this study is to define land use policy sources of barriers to community-based housing options in practice. Design/methodology/approach – The paper accentuated the need to tackle land use sources of barrier to Community Land Trust (CLT) performance, through text analysis of semi-structured interview responses from key stakeholders. Findings – This study found out that there is a need to ameliorate stakeholder approach to community-based housing (CBH), which is hampered by restrictive land use sources of barriers that occur in an urban and rural context. These barriers were found to include both planning inadequacies and a systemic inefficient network of knowledge transfer practices between stakeholders. Recommendations include the need for drastic policy intervention through the political willingness to address Section 106 shortcomings in the choice of affordable housing supply models, and the inaccessibility of land below market rate in an endogenous prescriptive planning system. Practical implications – This paper highlights the subjective limitations of the CLT model in regards to grey areas between setting boundaries to what is an acceptable level of concessions to CBH and the socio-economic impact or benefits of a completely deregulated social housing system. These boundaries do vary from system to system, hence the need for UK housing institutions to address identified inherent barrier sources and their reconciliation with international best practices. Therefore, greater roles can be accorded to the CLT model in the UK affordable housing dynamics based on its confirmed strengths and merits. Originality/value – This paper adds to literature through the practical identification and interpretation of various key stakeholder perspectives on sources of CLT barriers and an idealised strategy to tackling them accordingly. This contributes to the housing affordability debate on the viability of CBH options, and how it could be invariably hampered by direct and indirect effects of planning and restrictive land use policies in practice.