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European Journal of Forest Engineering
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This is an Open Access Journal

Open Access journal
ISSN (Online) 2149-5637
Published by DergiPark

[185 journals]

Heat-Resilient Workforce: Unveiling the Relationships Between Heat-related
Knowledge, Risk Perception, and Precautionary Behavior in Indonesian Pine
Forest Workers
- Authors: Firyal Dhaifan Putra; Efi Yuliati Yovi, Budi Kuncahyo
  Abstract: Behavioral changes play a crucial role in protecting the occupational health of outdoor workers, particularly those engaged in physically demanding jobs like forestry, against the adverse effects of rising temperatures–a clear consequence of climate change. Working in an environment with increasing temperature exposure heightens the risk of health disorders from both physiological and psychological perspectives, ultimately resulting in decreased work productivity. Numerous studies emphasize the positive correlation between behavior and knowledge. However, other variables that require thorough exploration are risk perception and work experience. Understanding the interplay among these four variables–behavior, knowledge, risk perception, and work experience–is crucial for formulating precise strategies to foster more cautious behavioral changes. This cross-sectional study, executed through a survey involving 50 pine tappers in the pine forest area of Bogor, Indonesia, utilizes Structural Equation Modelling with the Partial Least Squares approach. The research aims to explore the relationships between heat-related knowledge, risk perception, precautionary behavior, and work experience among outdoor workers, particularly pine oleoresin tappers. Through semi-structured interviews, insight into how to improve the workers’ precautionary behavior against the impacts of climate are investigated. The analysis uncovers positive connections between knowledge-risk perception, knowledge-precautionary behavior, and risk-perception-precautionary behavior. Additionally, the study underscores the mediating role of the dread risk factor (one element of risk perception) in shaping workers’ precautionary behavior. Another finding is that, with increasing work experience, pine tappers tend to underestimate risks, thereby diminishing their inclination toward precautionary behavior. These findings offer valuable guidance for enhancing the precautionary behavior of outdoor workers who confront the challenges of rising temperatures.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
Identification of the Leaves of Ulmus pumila L., Tilia cordata Mill. and
Acer campestre L. Using Vegetation Indices
- Authors: Pavel Dmitriev; Boris Kozlovsky, Anastasiya Dmitrieva, Tatiana Varduni
  Abstract: The aim of the research was to evaluate a group of vegetation indices (VIs) for identifying the leaves of some species including Ulmus pumila L., Tilia cordata Mill. and Acer campestre L. Hyperspectral imaging (HSI) was carried out under artificial lighting in laboratory conditions using a Cubert UHD-185 hyperspectral camera. A technique was developed for the automated selection of pure spectral profiles from hyperspectral images by setting a double barrier specified by intervals of PSSR and NDVI VIs. A total of 80 VIs was calculated. A statistical analysis of the data was carried out to determine their representativeness. The VIs that were most dependent on the species characteristics of the trees were determined using analysis of variance (ANOVA) and principal component analysis (PCA) methods. Research has shown that the PCA method is effective and sufficient to identify the group of VIs characterized by the highest dispersion related to tree species. The PCA carried out for pairs of tree species made it possible to identify a group of vegetation indices, the value of which to the greatest extent depends on species characteristics. These VIs are Carter2, CI2, CRI4, GMI2, mSR2, NDVI2, OSAVI2, SR1, Carter4, Datt2, SR6, Datt, DD, Maccioni, MTC.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park
Angke Kapuk, North Jakarta, Indonesia Using NDVI
- Authors: Tsaniya Nurafifah Suryana; Sherlina Purnamasari, Kevin Ewaldo
  Abstract: Mangrove forests in Angke Kapuk, North Jakarta, are integral parts of the coastal ecosystem and play important roles in supporting environmental sustainability. One component of the Angke Kapuk Mangrove Forest is the Mangrove Nature Tourism Park (MNTP), Angke Kapuk, covering an area of 99.82 hectares. This study aims to analyze mangrove forest degradation in Angke Kapuk Nature Reserve using the Normalized Difference Vegetation Index (NDVI, which allows for mapping mangrove vegetation density and monitoring changes in the vegetation density over time. The objective of this study is to determine the degradation of mangrove forests from 2018 to 2023 using the NDVI derived from Landsat 8 and Landsat 9 satellite imagery. The findings of this study showed a change of 13.16 hectares in forested areas between 2018 and 2023, suggesting forest degradation. Accuracy assessment resulted in 80% overall accuracy with a kappa coefficient of 76.2%. Based on the literature, our results are similar to the acceptable level of accuracy, which is considered to be above 80%. Monitoring mangrove forest areas can serve as a preventive measure to address the issue of mangrove forest degradation. These results underscore the necessity of sustainable forestry monitoring efforts in the MNTP area, as it contributes significantly to providing ecosystem services and maintaining environmental sustainability.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
Spatio-Temporal Analysis of Carbon Storage in Urban Areas After Wildfires:
The Case of Marmaris Fire
- Authors: Zennure Uçar
  Abstract: Cities and urban areas are the primary source of CO2 worldwide by using around 70% of global energy and emitting more than 71% of CO2. Urban vegetation, referring to all trees and shrubs, are important components of urban environments. They provide many ecosystem services to human beings both directly and indirectly. Especially, they play a key role in reducing carbon emissions in urban areas by storing and capturing the carbon. However, recently, an increase in the number and intensity of wildfires that occur within urban areas has been observed. It resulted in losing stored carbon, releasing GHG to the atmosphere. Hence, quantifying above-ground carbon stored by urban trees and its distribution is essential to better understanding urban vegetation's role in urban environments and to better urban vegetation management. This study aimed to examine how forest fire affects the amount and distribution of stored carbon in the urban environment for the case of the Marmaris fire in the Summer of 2021 in Türkiye. For the study, urban forest carbon storage maps were generated before and after the Marmaris forest fire using remote sensing-based methodology with freely available remote sensing (RS) data. The results indicated that using the existing methodology could be rapid and cost-effective in monitoring the carbon storage change after an anthropogenic and natural disaster. However, for precise and reliable estimation of total carbon storage and the change in total urban carbon storage, the methodology needs to be developed at a local scale using field sampling along with RS data.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
Forest Fire Risk Mapping Using GIS Based Analytical Hierarchy Process
Approach
- Authors: Ahmet Demir; Abdullah Emin Akay
  Abstract: Turkiye is located in a region sensitive to forest fires due to its climate, vegetation characteristics, and topography. Every year, forest fires, for various reasons, cause burning of thousands of hectares of forest area. Fires damage the ecosystem and have economic consequences. The Mediterranean, Aegean and Marmara coasts, where the Mediterranean climate and fire-sensitive tree species dominate, are at primary risk against forest fires. For an effective fight against forest fires, it is crucial to identify zones with fire risk based on various parameters such as forest structures (tree species, crown closure, stand development class), topographic features (slope, aspect), climate, and proximity to certain points (such as roads, settlements, agricultural areas). Fire risk data will shed light on the measures that can be taken against fire. In this study, GIS (Geographic Information Systems) based Analytical Hierarchy Process (AHP) method, one of the well know Multi-Criteria Decision Making Analysis (MCDA) methods, was used to develop the fire risk map of Mersin Forestry Regional Directorate (FRD) within the Mediterranean region of Turkiye. Then, the accuracy of the fire risk map was evaluated by taking into account the previous fires in the regional directorate. As a result, the findings showed that 13.87% of the study area was classified as very high, 25.87% as high, 24.68% as medium, 22.44% a low, and 13.14% as very low risk areas. The results also indicated that tree species are the most influential risk factor in forest fires, and followed by stand development class factor. The accuracy of the fire risk map was evaluated by using the location information of a total of 562 forest fires in Mersin FRD between 2003-2022. In order to determine the accuracy of the fire risk map, the Receiver Operating Characteristic (ROC) curve method was used in the ArcGIS environment. As a result, the Area Under Curve (AUC) value was approximately 74%, which showed that the fire risk map developed for Mersin FRD was moderately reliable. With this study, it has been demonstrated that it is possible to produce reliable fire risk maps in a short time using the GIS-based AHP method.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
Potential of Geospatial Technologies in Mechanized Timber Harvesting
Planning
- Authors: Gilberth Temba; Ernest Mauya
  Abstract: Mechanized timber harvesting involves various activities including road planning, and selection of harvesting systems and machineries. The emergence of geospatial technology (GSPT) i.e., geographical information system (GIS) and remote sensing in the recent decades, has been considered as the best tools to facilitate timber harvesting planning in plantation forests. GSPT provide accurate stand information enabling better decision-making and optimizing forest operations. This study was conducted at Sao hill Forest Plantation (SHFP) in Tanzania, with the objective of determining relative efficiency (RE) between geospatial approach (GSPA) and conventional approach (CA) on planning mechanized timber harvesting. 120 grapple skidders (GS) in 30 sample plots within different elevation terrain ranges were studied with time study observations in both approaches. Productivity and costs under the two approaches were estimated and modelled using generalized linear model (GLM) approach. To obtain large scale estimates of productivity and costs, Inverse Distance Weighted (IDW) interpolation approach was used. The results showed that, GSPA demonstrated higher productivity and lower unit skidding costs (i.e., 71.1 m3/hr and 2.121 USD/m3) compared to CA (i.e., 67.5 m3/hr and 2.914 USD/m3) respectively. Skidding distance and slope (p-value < 0.05) were significant predictors of the GS performance in both approaches. The pseudo R2 ranging from 58.1% to 64.3% under CA, and from 62.9% to 60.8% under GSPA. Likewise, relative root mean square error (RMSEr) for the models under CA ranged from 49.3% to 50.4% and 33.4% to 35.2% under GSPA. Generally, the results showed that, models under GSPA have better fits and accuracy, compared to CA. Furthermore, the GSPA provided a raster representation of productivity and costs over the entire study area. Moreover, computed RE values (i.e., 1.18 and 6.17) indicated that parameter estimates for the GS productivity and costs were more precise in geospatial models (GSPM) compared to conventional models (CM). These findings highlight the potential of GSPT for an efficient large scale timber harvesting planning, by considering terrain constraints.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030
The Current Status of Forest Residues and Disposal Machinery in Turkiye
- Authors: Sercan Gülci; Temel Sarıyıldız, Abdullah Emin Akay
  Abstract: The term "cutting residue" is a widely used term in Turkey, which refers to the leftover pieces of logs in the forest after cutting, except for the logs. As of yet, there is no specific expression and explanation for the term "slash" in Turkish forestry. Turkey carries out intensive forestry activities based on industrial wood production, primarily in mature stands and damaged after disasters such as fire or storm fall. Products that do not carry industrial woodiness in the stand, such as branches, roots, and tips that are not suitable for industrial production, are considered firewood and used for energy production or left in the stand. As a result, it is observed that the collected cutting residues from the fields that are sufficient in terms of benefit and cost is burned to generate electricity in electricity generation stations. Due to the demand for forest-based wood raw materials in recent years, some domestic companies have begun converting thick branches into industrial products such as paper and chipboard production. Additionally, some studies have been conducted to reduce transportation costs in bringing cutting residues to the economy, focusing on the storage and processing of forest cutting residues on the landing sites. In this regard, small-scale chipping machines have been produced by the domestic industry. Therefore, slash disposal and mechanization have a very limited place in Turkish forestry. Decision makers need to prepare action plans in this regard and provide support to joint research projects with academic units.
  PubDate: Thu, 27 Jun 2024 00:00:00 +030

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