Bálint Heil

Climate change poses growing risks to coffee farming in Uganda. However, households do not adapt to the same degree, and it remains unclear which household resources contribute to differences in adaptation. This study examines the specific household resources associated with climate adaptation among 376 smallholder coffee-farming households across four districts in Southwestern Uganda. Adaptation was measured using a count of adopted practices and a continuous index derived from Principal Component Analysis (PCA), with Multiple Correspondence Analysis (MCA) used as a robustness check. The analysis examined constituent household resources separately to assess whether broad livelihood-capital categories obscure divergent relationships among their components. Household size, knowledge exchange with other farmers, training, and ownership of basic farm tools were the most consistent positive correlates of adaptation. Years of coffee-farming experience, by contrast, showed a negative relationship with adaptation, opposite to the direction observed for household size despite both being classified within the human-capital domain. A composite human-capital specification showed weaker statistical fit than the disaggregated specification. A similar divergence occurred within financial capital: off-farm income showed a positive relationship with adaptation, whereas access to credit did not. Within physical capital, tool ownership was positively related to adaptation, whereas irrigation equipment, owned by only 1.6% of households, was not statistically significant. These findings suggest that policies to strengthen climate adaptation among smallholder coffee farmers should prioritize farmer-to-farmer knowledge exchange, training, and access to basic farm tools. Additionally, findings caution against treating broad livelihood-capital categories as internally homogeneous because constituent resources may have different or opposing relationships with adaptation.

Due to climate change, drought periods are becoming more frequent and more intense, posing substantial stress to Central European forest stands, especially climatically sensitive conifer forests. The early detection and accurate spatial delineation of forest damage are essential for supporting adaptive forest management decisions. This study presents a two-tier, multi-step forest damage assessment approach that combines Sentinel-2 satellite-based NDVI double-difference analysis with UAV-based high-resolution photogrammetric evaluation. In the first phase, potential damaged forest patches were identified in two sample areas of the Sopron Mountains using double-difference maps derived from monthly window NDVI maxima calculated from Sentinel-2 data. In the second phase, UAV surveys were carried out over the selected forest compartments, resulting in individual-tree-level canopy segmentation and object-based NDVI analysis. The photogrammetric point clouds were combined with ground points derived from airborne laser scanning to enable the accurate generation of canopy height models. The results confirmed that NDVI double-difference analysis is suitable for the spatial detection of both gradual drought-related damage and sudden disturbances—such as forest fire—even under sequences of drought and moderate years occurring in a sporadic pattern. The UAV-based analysis corroborated the satellite observations in detail and enabled an accurate inventory of damaged trees as well as the exploration of their spatial distribution. The proposed methodology provides an efficient, cost-effective, and operational tool for multi-scale monitoring of forest damage, contributing to the timely recognition of climate-change impacts and to the substantiation of targeted forest management interventions.

The increasing pace of climate-driven changes in forest ecosystems calls for reliable remote sensing techniques for quantifying above-ground carbon storage. In this article, we compare the methodology and results of traditional field surveys, mobile laser scanning, optical drone imaging and photogrammetry, and both drone-based and light aircraft-based aerial laser scanning to determine forest stand parameters, which are suitable to estimate carbon stock. Measurements were conducted at four designated sampling points established during a large-scale project in deciduous and coniferous tree stands of the Dudles Forest, Hungary. The results of the surveys were first compared spatially and quantitatively, followed by a summary of the advantages and disadvantages of each method. The mobile laser scanner proved to be the most accurate, while optical surveying—enhanced with a new diameter measurement methodology based on detecting stem positions from the photogrammetric point cloud and measuring the diameter directly on the orthorectified images—also delivered promising results. Aerial laser scanning was the least accurate but provided coverage over large areas. Based on the results, we recommend adapting our carbon stock estimation methodology primarily to mobile laser scanning surveys combined with aerial laser scanned data.

Uganda is gradually transitioning from communal to private land tenure systems. However, establishing privatized land rights has faced ongoing criticism, particularly concerning their impact on vulnerable groups. Despite the enactment of a national land policy, its benefits have not fully reached rural populations. Issues of land tenure insecurity and unclear ownership continue to generate confusion and have reportedly weakened traditional communal land systems, undermining sustainable agricultural production and long-term investment. This paper examines rural land rights, land markets, and the broader structural transformation of Uganda’s land sector, drawing on the existing literature and published reports. This review reveals that land tenure and administrative challenges persist, largely due to the dominance of customary tenure systems. Although land markets are active, they remain imperfect due to tenure insecurity and legal ambiguities. The findings highlight the need for increased public sensitization regarding land policy, gender-sensitive policies that promote joint ownership, continuous incentives for formalization, the acquisition of land documents, and the harmonization and strengthening of relevant land governance institutions.

We present our carbon stock estimation method developed for mixed coniferous and deciduous forests in the Hungarian hilly region, covering diverse site conditions. The method consists of four complex steps, integrating traditional field surveys with modern remote sensing and GIS. The first step involves comprehensive field data collection at systematically distributed sampling points. The second step is tree species mapping based on satellite image time series. The third step uses Airborne Laser Scanning to estimate aboveground biomass and derive the carbon stock of roots. The final step involves evaluating and spatially extending field and laboratory data on litter and humus from sampling points using geostatistical methods, followed by aggregating the results for the forest block and individual forest sub-compartments. New elements were developed and implemented into the complex methodology, such as aboveground biomass calculation with voxel aggregation and underground carbon stock spatial extension with EBK regression prediction. Additionally, we examined how the accuracy of our method, designed for a 200 m sampling grid, decreases as the distance between sampling points increases.

Uganda, just like its counterparts around the globe, is transforming its land tenure systems, from communal systems to private individual ownership systems. However, through the establishment of privatized land rights, several criticisms and collisions have continuously marred the government's well-intentioned vision. They claim that this will negatively impact vulnerable groups, such as women, the disabled, and children. In Uganda, while structural transformation occurred in the economy at least thirty years ago, followed by the enactment of the land policy, the issue of rights through titling of individual ownership is not fully implemented to even 50% in the rural areas. This tenure security and ownership empowerment continues to bleed confusion and reportedly leads to the weakening of traditional communal land tenure systems and erosion of land rights, thus hampering sustainable agricultural production and investment. This paper, therefore, examines rural land rights, markets, and land structural transformation in Uganda, with a specific focus on the rural areas. In this work, several papers are reviewed to get facts about existing land rights, land market structure, performance, and challenges associated with them. Review analysis reveals three main issues: there's a lack of awareness of the new land policies and their implementation, land tenure security is not yet guaranteed, and therefore the vulnerable groups are not fully secure, and land markets, though not yet efficient, are increasing exponentially in many areas. In conclusion, this paper recommends the sensitization of the public, especially the rural landowners and institutions, continuous incentivization of formalization and acquisition of land documents, and finally the need to harmonize with different institutions on the implementation of existing land laws and policies.

Coffee ranks high in terms of growth, trade, and consumption across the world. Although there has been an increasing trend in its consumption as a beverage across the globe, its on-farm production and productivity are threatened by climate change in the dominant coffee-growing regions. Smallholder farmers produce about 80% of the world’s coffee and are constrained in adopting climate-smart improved technologies. Climate change and livelihoods are interconnected, and understanding and strengthening their linkages is crucial in generating sustainable coffee supplies. This paper analyzed climate change and mitigation components in the context of livelihoods under smallholder coffee farming systems. An online search of globally published journal articles was done in the Web of Science and Google Scholar databases. Bibliographic and metadata analysis was done using VOSviewer software, while the publication trend of the included articles was analyzed using Mann–Kendall. Overall, this review reveals that livelihood assets owned by the coffee farmer have a strong bearing on the adaptation and mitigation of climate change, while Fairtrade certification has mixed effects on farmers’ income and well-being. Agroforestry is a major climate change adaptation strategy under coffee farming and is linked to the livelihood status of the farmer, gender, and certification. This review echoes the strong linkage between agroforestry, livelihood components, and Fairtrade certification under smallholder farmers based on the empirical researched information available.

The article thoroughly investigates the relationships between terrain features and tree measurements derived from aerial laser scanning (ALS) data and field surveys in a 1067-hectare forested area. A digital elevation model (DEM) was generated from ALS data, which was then used to derive additional layers such as slope, aspect, topographic position index (TPI), and landforms. The authors developed a mathematical procedure to determine the radii for the topographic position index. The canopy height model was created, and individual trees were segmented using a novel voxel aggregation method, allowing for the calculation of tree height and crown size. Accuracy assessments were conducted between ALS-derived data and field-collected data. Terrain variability within each forest unit was evaluated using characteristics such as standard deviation, entropy, and frequency. The relationships between tree height and the derived topographic features within forest subcompartments, as well as the correlation between the height yield map for the entire area and the TPI layer, were analysed. The authors found strong correlation between the topographic position index and tree heights in both cases. The presented remote-sensing-based methodology and the results can be effectively used in digital forest site mapping, complemented by field sampling and laboratory soil analyses, and, as final goal, in carbon stock assessment.

Sustainable management of land and its ecosystem requires well-documented Land-use and Land Cover changes (LULCCs) that have occurred over time. The objective of this study was to document the LULCCs, determine their relationship with climate and population changes in Western Uganda, and provide evidence to support decision-making in this region. This study utilized satellite images for the years 1992, 2000, 2010, and 2020 obtained from the European Space Agency Climate Change Initiative (ESA CCI), Climatic data from NASA, and Population Data from the Uganda Bureau of Statistics (UBoS). LULCCs and their influencers were characterized in the region, for the period 1992 to 2020. ArcGIS Pro Software Program was used to Filter time series data using Definition Query, while the scatterplot was employed to determine the relationship between changes in climate and population on LULCCs. Results indicate that LULC is dominated by agriculture, covering (66.46%), followed by forests (16.22%), waterbodies (8.0%), grassland, shrubland, wetland, and urban areas at (6.11%), (2.63%), (0.49%) and (0.1%) respectively. From 1992 to 2020, the area under agriculture, forest and urban increased by 0.1%, 0.1%, and 0.08%, respectively, while Grassland, wetland, and shrubland declined by (0.22%), (0.05%), and (0.01%) respectively. LULCCs for areas under wetland, grassland, and urban areas have a stronger relationship with precipitation and population growth. This information can be used by the decision-makers at the local, district, and national levels to better guide land-use practices aimed at sustainable land-use management for the current and future generations.

In this study, the authors provide a direct comparison made between whole tree-harvesting (WTH) and cut-to length (CTL) methods, which was conducted in two sites in the Slovak Republic and applied to poplar plantations. Both systems, WTH and CTL, have been employed at the highest mechanization level in two sites: “Nivky” and “Skalica”. Two different strategies, namely, “mass handling” and “small-scale mechanization”, have been used for WTH and CTL, respectively. The study results showed that the level of productivity (ODT SMH⁻¹) in the felling operation was almost double for WTH than for the CTL method in Nivky (+84%) and more than double in Skalica (+113%). The extraction operation under WTH showed a productivity increase from one fifth (+20%) to more than double (104%) that of the CTL method in the Nivky and Skalica sites, respectively. Regarding cost-efficiency (EUR ODT⁻¹), the WTH system offers a similar trend except with respect to extraction in Nivky (higher productivity site), in which the CTL extraction was 4.5% less expensive than the WTH extraction. The study results show that the mass-handling technique deployed in the WTH system offers very good performance in poorer plantations since the very small tree size and low-growing stock challenge the CTL system more than the WTH system. The total operation (felling, bucking, and extraction) costs (EUR ODT⁻¹) recorded by the study in commercial conditions (as contractors perform for revenue purposes) were 32.50 and 45.80 EUR ODT⁻¹ for CTL and 43.30 and 53.60 EUR ODT⁻¹ for WTH for the higher-yield site (Nivky) and lower-yield site (Skalica), respectively. Regarding the WTH System, the researchers found that the drop in efficiency (and the consequent rise in the costs-per-ton of product) depends largely on the bucking phase conducted using the harvester at the landing of the stacked piles of interlocked trees. The main results of this study demonstrate the promising strategy of mass handling associated with the WTH system in medium rotation coppice (MRC) harvesting and shows that bucking is the weaker phase. Future efforts must be made to ensure feasibility of the “mass handling” strategy alongside the entire workflow by means of finding suitable mobile machinery that can delimb, debark, and crosscut tree bunches instead of single trees.