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Planted forests, although only seven per cent of the world's forest resources, have superseded naturally regenerating forests as the principal source of industrial wood products. Lessening the pressure for wood production, tree planting has released natural forests to be managed for other purposes - carbon sinks, soil and water protection, conservation of biological diversity, recreation and amenity. Representing a complement, but not an alternative, to natural forests, planted forests have become increasingly important for reducing worldwide deforestation, loss of forest ecosystems and forest degradation. Examining the significance of this rapidly emerging world resource, chapters consider the strengths and weaknesses of planted forests, management objectives for their use and aspects of ownership and policy. Data from key production countries are used to evaluate the implications and sustainability of planted forests as a source of forest products as well as social and ecological issues.

Small‐scale tree farmers are increasingly recognized as important producers of wood resources, yet their integration into wood markets remains limited in many developing countries. Integration is conceptualized as farmers’ ability to access target markets, participate in price‐setting, and compete favorably for fair prices. In sub‐Saharan Africa, tree growing has often been promoted for conservation or subsistence, with little emphasis on commercialization. This study was motivated by the underrepresentation of small‐scale farmers in wood markets despite their potential to supply significant wood resources and by the lack of empirical evidence on their degree of integration into markets. The study contributes to a deeper understanding of how small‐scale tree farmers are integrated into wood markets by addressing two questions. (i) Which sociodemographic and tree farm attributes influence access to target and final selling points? (ii) What factors influence participation in price‐setting? The research was conducted in Mubende District, Central Uganda, using a mixed‐methods approach. Data were collected through participant and key informant interviews and focus group discussions. Quantitative data were analyzed using descriptive statistics, chi‐square tests, and binary logistic regression, while qualitative data were processed using thematic content analysis. Findings showed that most farmers failed to sell from their target markets due to high transport costs, limited market information, and reliance on intermediaries. Participation in price‐setting was also limited, with many farmers accepting prices offered by buyers, especially in cases of distress sales linked to urgent household needs. The study recommends that governments and development partners strengthen business support services, including technical training, value addition, and improved market information systems, to enable small‐scales’ transition from subsistence‐oriented production to effective participation in wood markets.

Cuba had the largest slave society of the Spanish colonial empire and thus the most plantations. The lack of archaeological data for interpreting these sites is a glaring void in slavery and plantation studies. Theresa Singleton helps to fill this gap with the presentation of the first archaeological investigation of a Cuban plantation written by an English speaker. At Santa Ana de Biajacas, where the plantation owner sequestered slaves behind a massive masonry wall, Singleton explores how elite Cuban planters used the built environment to impose a hierarchical social order upon slave laborers. Behind the wall, slaves reclaimed the space as their own, forming communities, building their own houses, celebrating, gambling, and even harboring slave runaways. What emerged there is not just an identity distinct from other North American and Caribbean plantations, but a unique slave culture that thrived despite a spartan lifestyle. Singleton's study provides insight into the larger historical context of the African diaspora, global patterns of enslavement, and the development of Cuba as an integral member of the larger Atlantic World.

Tree crown plays a crucial role in the process of photosynthesis and the formation of biomass. The site conditions and stand density have a significant impact on tree and crown growth, as well as biomass formation. Understanding crown growth and its influence on the allometric growth of the biomass of various organs under diverse site conditions and densities is critical to comprehending forest adaptation to climate change and management. This study examined the growth of trees, crown, and biomass in 36 plots of young Platycladus orientalis plantations across three site conditions (S1: thin soil on the sunny slope; S2: thick soil on the sunny slope; S3: thin soil on the shady slope) and four densities (D1: ≤1500 plants/hm[sup.2] ; D2: 1501–2000 plants/hm[sup.2] ; D3: 2001–3000 plants/hm[sup.2] ; and D4: ≥3001 plants/hm[sup.2] ). The findings of this study showed that S3 demonstrated the best tree growth, with considerably higher DBH and V than S1 and S2. In addition, as the number of trees grew, the average diameter at breast height (DBH), height (H), and volume (V) all decreased greatly. Poor site (S1) suppressed the canopy, decreasing crown width (CW), crown length (CL), crown ratio (CR), crown surface area (CCSA), and crown volume (CCV), while increasing crown efficiency (CEFF). This same trend was seen in D4, where CR, CCSA, and CCV were all much smaller than the other densities, but CEFF was the highest. Subjective and objective indicators were less responsive to changes in crown growth than crown composite indicators like CCSA, CCV, CEFF, and CR. Site condition and density had a major impact on biomass accumulation, with S1 and D4 having a much lower biomass than S2, S3, D1, D2, and D3. More biomass was allocated to the stem in S3 and D1, and more biomass was allocated to branches and leaves in S2, S3, D1, D2, and D3, resulting in a nearly isotropic growth of branches and leaves. The effect of crown indicators on the biomass of each organ varied according to site condition and density. In varied site conditions, crown and DBH ratio (RCD) contributed the most to stem biomass, whereas CL contributed the most to branch and root biomass. CL had the largest effect on biomass accumulation at various densities. This study demonstrates how site condition and density affect tree and crown development and biomass accumulation, providing theoretical guidance for plantation management under climate change.

Airborne laser scanning (ALS) technology is fully implemented in forest resource assessment processes, providing highly accurate and spatially continuous results throughout the area of interest, thus reducing inventory costs when compared with traditional sampling inventories. Several approaches have been employed to estimate forest parameters using ALS data, such as the Area-Based Approach (ABA) and Individual Tree Crown (ITC). These two methodologies use different information processing and field data collection approaches; thus, it is important to have a selection criterion for the method to be used based on the expected results and admissible errors. The objective of this study was to compare the prediction errors of forest inventory attributes in the functioning of ABA and ITC approaches. A plantation of 500 ha of Pinus radiata (400–600 trees ha[sup.−1] ) in Chile was selected; a forest inventory was conducted using the ABA and ITC methods and the accuracy of both methods was analyzed. The ITC models performed better than the ABA models at low tree densities for all forest inventory attributes (15% MAPE in tree density—N—and 11% in volume—V). There was no significant difference in precision regarding the volume and basal area (G) estimations at medium densities, although ITC obtained better results for density and dominant height (Ho). At high densities, ABA performed better for all the attributes except for height (6.5% MAPE in N, 8.7% in G, and 8.9% in V). Our results showed that the precision of forest inventories based on ALS data can be adjusted depending on tree density to optimize the selected approach (ABA and ITC), thus reducing the inventory costs. Hence, field efforts can be greatly decreased while achieving better prediction accuracies.

Diversity of trees and shrubs in agricultural systems contributes to provision of wood and non-wood products, and protects the environment, thereby, enhancing socioeconomic and ecological sustainability of the systems. This study characterizes the diversity, density and composition of trees in the agroforestry homegardens of Sidama Zone, Southern Ethiopia, and analyses physical and socioeconomic factors influencing diversity and composition of trees in the systems. A total of 144 homegardens were surveyed from 12 sites. In total, 120 species of trees and shrubs were recorded of which, 74.2 % were native to the area. The mean number of tree species per farm was 21. Density of trees varied between sites with mean values ranging from 86 to 1,082, and the overall average was 475 trees ha −1 . Four different crop-based enset ( Enset ventricosum (Welw.) Cheesman )-coffee homegarden types were recognized and they differed not only in the composition of major crops but also in the diversity, density and composition of trees. The composition, diversity and density of trees is influenced by physical and socioeconomic factors. The major physical factors were geographical distance between sites and differences in altitude of farms. The most important socioeconomic factors were farm size and access to roads. Tree species richness and density increased with farm size. Increased road access facilitated marketing opportunities to agricultural products including trees, and lead to a decline in the basic components of the system, enset, coffee and trees. In the road-access sites, the native trees have also been largely replaced with fast growing exotic species, mainly eucalypts. The decrease in diversity of trees and perennial components of the system, and its gradual replacement with new cash and annual food crops could jeopardize the integrity and complexity of the system, which has been responsible for its sustenance.

Natural disturbances in forested landscapes are increasing in frequency. Hurricanes and flooding events can cause extreme damages to forested ecosystems and the forest products industry. The state of South Carolina experienced four major hurricanes and flooding events between 2015 and 2018. A survey was sent out to the members of the American Tree Farm System (ATFS) in South Carolina in 2017 to better understand the impact of two of these events—the historical flood of October 2015 and hurricane Matthew in October 2016—on family forest operations. Forty-eight percent of surveys were returned. Surveys were received from all counties except one. Average losses of$6.21/acre and $ 6.48/acre for flood and hurricane damage, respectively, were reported across all of the respondents. Major damage from the flood was reported to be on forest roads, while uprooted and broken trees were the most reported damage from the hurricane. Extrapolating damages to the state level indicated total estimated damages that were in excess of $80 million for each event. The responses also showed that only one-third of respondents were aware of disaster relief programs and less than 2% actually received financial aid. The results from this survey provide forest managers, policy makers, and extension personnel with information regarding the damages that were associated with the 2015 flood and the 2016 hurricane. Events such as these are bound to happen again in the future and information from this survey may allow foresters, policy makers, and forestry associations to refine the ways that financial aid information is distributed to increase the awareness of these programs.

Small-scale Acacia decurrens plantation forests, established by farmers on degraded lands, have become increasingly prevalent in the Northwestern Highlands of Ethiopia. This trend has been particularly notable in Fagita Lekoma District over the past few decades. Such plantations play a significant role in addressing concerns related to sustainable agricultural land use, mitigating the adverse effects of deforestation, and meeting the livelihood and energy requirements of a growing population. However, the spatial distribution of Acacia decurrens and the essential remote sensing and environmental variables that determine its distribution are not well understood. This study aimed to model the spatial distribution of Acacia decurrens plantation forests using PlanetScope data and environmental variables combined with a species distribution model (SDM). Employing 557 presence/absence points, noncollinear variables were identified and utilized as input for six SDM algorithms, with a 70:30 split between training and test data, and 10-fold bootstrap replication. The model performance was evaluated using the receiver operation characteristic curve (AUC) and true skill statics (TSS). The ensemble model, which combined results from six individual algorithms, was implemented to predict the spatial distribution of Acacia decurrens. The highest accuracy with the values of 0.93 (AUC) and 0.82 (TSS) was observed using random forest (RF), followed by SVM with values of 0.89 (AUC) and 0.71 (TSS), and BRT with values of 0.89 (AUC) and 0.7 (TSS). According to the ensemble model result, Acacia decurrens plantation forests cover 22.44% of the district, with the spatial distribution decreasing towards lower elevation areas in the northeastern and western parts of the district. The major determinant variables for identifying the species were vegetation indices, specifically CVI, ARVI, and GI, with AUC metric values of 39.3%, 16%, and 7.1%, respectively. The findings of this study indicate that the combination of high-resolution remote sensing-derived vegetation indices and environmental variables using SDM could play a vital role in identifying Acacia decurrens plantations, offering valuable insights for land use planning and management strategies. Moreover, comprehending the spatial distribution’s extent is crucial baseline information for assessing its environmental implications at a local scale.

Christmas Trees for Pleasure and Profitis for anyone who enjoys being and working outdoors and is seeking a profitable hobby or small business venture. Robert Wray has updated this fourth edition to include the latest techniques and tools for harvesting trees, new methods of transport, the most recent data on herbicides, and advice on how to run a Christmas-tree business today. A perennial bestseller, this illustrated guide covers selecting land, choosing species, planting, harvesting, and managing a plantation. Wray provides guidance for choosing species suitable for the grower's situation, where and how to get planting stock, and how to care for it. The planting process is described in detail, including both hand and machine methods. The book presents useful techniques for protecting the growing trees from weeds, animals, fire, insects, and disease, and offers a full description of shearing or shaping trees to improve their form and densityùkeys to a successful crop. As the grower's job is not done until the trees are sold, issues of grading, harvesting, advertising, and marketing are examined. A chapter on finances deals with costs, profits, and taxes. From novice to experienced grower, there is something in this book for everyone.

To assess the alterations in soil properties resulting from the interplanting of broad-leaved tree species within coniferous forests, we conducted an investigation into soil quality in a mixed Chinese fir and broad-leaved forest, as well as in a Chinese fir pure forest (used as a control) in subtropical China. A total of 15 soil physicochemical properties were assessed across three soil depths—0–15 cm, 15–30 cm, and 30–45 cm—for the two forest types in the experimental study. Principal component analysis in conjunction with the Norm value was employed to create a minimal data set (MDS) for assessing six indicators, including bulk density (BD), total nitrogen (TN), total phosphate (TP), available potassium (AK), soil pH, and catalase (CAT). The soil quality index (SQI) was calculated for both forest types. The results demonstrated that following the interplanting of broad-leaved tree species in the Chinese fir forest, all soil physicochemical indicators were significantly improved compared to the control, and significant differences were also observed in the 0–15 cm and 15–30 cm soil layers (p < 0.05). The overall average of the SQI of the mixed forest (0.8523, 0.6636) was significantly higher than that of the control (0.4477, 0.3823) (p < 0.05) in the 0–15 cm and 15–30 cm soil layers, respectively. However, there was no significant difference in the SQI in the 30–45 cm soil layer (p > 0.05) between the two forest types. The results indicated that the SQI based on the minimal dataset (MDS) can reflect the SQI of the total dataset (TDS) when assessing soil quality in forests. Our research provides valuable scientific insights into soil science and an understanding of the relationships between soil properties, forest structure, and species composition in sustainable forest management.