Forest Conservation Research Articles

Integrative analysis of nutrient dynamics and its hydrological pathways in a tropical montane forest watershed: Implications for landscape management

This study addresses a significant knowledge gap regarding the relationship between nutrient exports and abiotic factors in tropical forested watersheds. Focusing on a tropical forest watershed located on Hainan Island, we investigated the interactions between nitrogen (N) and phosphorus (P) exports and topographic, hydrological, and landscape elements. Using a model-data integration approach, our findings revealed that nutrient exports are predominantly in organic N and P forms, with the values of 15.66 ± 1.87 kg ha−1 yr−1 and 0.26 ± 0.07 kg ha−1 yr−1, respectively. Inorganic N and P were primarily sourced from orchards, while organic N predominantly originates from forest areas. Additionally, lateral flow was identified as the dominant hydrological pathway for nutrient transport, significantly influenced by topographical gradients. A parabolic relationship between organic N export and forest landscape fragmentation was also observed. These findings emphasize the importance of targeted landscape management strategies, such as selective logging, to mitigate N limitation in tropical forest watersheds, advancing the understanding of nutrient export dynamics and providing practical implications for sustainable forest management and conservation efforts.

Community Forest Management and the Resilience of Karen Indigenous Knowledge in Northern Thailand.

This study investigates the resilience of indigenous knowledge in five Karen villages, located in Thailand's Chiang Mai, Chiang Rai, and Lampang provinces, that have been recognized for best practices in community forest management (CFM). The CFM model was initiated by local communities to promote forest conservation and community engagement. Data on CFM practices, land-use rights, social networks, and indigenous knowledge were collected through 17 in-depth interviews and 5 focus group meetings. The findings include how these Karen communities have adopted payment for environmental services (PES) to fund conservation projects and social welfare. More specifically, PES generates social capital by facilitating coordination with stakeholders from the private sector, academia, and government. These social networks promote markets for local products and advocate for indigenous land-use rights. The PES model also serves as a tool whereby Indigenous Peoples can shape their identities as innovative forest guardians and legitimize their residence within the forest. Additionally, the study reports on how Karen people have diversified their livelihoods to include hosting academic tourism, handicrafts, and livestock, reducing their dependence on forest resources.

Integrating Forest Ecosystem Services into Health Strategies to Improve Human Well-Being

As the largest terrestrial ecosystem covering extensive expanses of the Earth’s surface, forests offer crucial health benefits to humans, both directly and indirectly. Presently, health services derived from forest resources have presented significant opportunities for enhancing human well-being. Nonetheless, the absence of a comprehensive understanding regarding the mechanisms by which forests impact human health jeopardizes the potential gains in health. Regrettably, there remains a dearth of scholarly work elucidating these pathways. This paper aims to furnish a thorough examination of how forests influence human health. We initiate by formulating a conceptual framework upon which we delineate the various pathways through which forests impact human health. These encompass the provisioning of resources, preventive services, and forest therapies. Concurrently, we outline the moderating influence of social, economic, and individual characteristics as mediators within this pathway. These characteristics are classified into two overarching dimensions: accessibility and behavioral choices, which notably affect marginalized demographics such as those with lower socioeconomic status, women, the elderly, individuals with disabilities, and children in developing nations. Consequently, we build upon these foundational insights to propose six strategies aimed at perpetuating the positive impact of forests on human health in the foreseeable future. In the future, the development of forest management policies, the assessment of long-term health benefits, social practices, and international cooperation must be considered holistically to attain the dual objective of sustainable forest management and the advancement of human well-being.

A multi-objective approach for timber harvest scheduling to include management of at-risk species and spatial configuration objectives.

Sustainable forestry typically involves integration of several economic and ecological objectives which, at times, may not be compatible with one another. Multi-objective prioritization via harvest scheduling programs can be used to elucidate these relationships and explore solutions. One such program is a spatially explicit harvest scheduler that adopts the Metropolis-Hastings algorithm to iteratively find management solutions to achieve multiple objectives (Habplan). Although this program has been used to address forest management scheduling and simulation-based tasks, its utility is constrained by time-intensive data preparation and challenges with incorporating spatial configuration objectives. To address these shortcomings, we introduce an open-source software package, HabplanR, streamlines data preparation, sets parameters, visualizes results, and assesses spatial components of ecological objectives. We developed four example objectives to incorporate into a multi-objective management problem: habitat quality indices for three species "types" (open, closed, and intermediate-canopy-associated species), and harvested pine pulpwood (revenue). We demonstrate the utility of this package to find management schedules that can accommodate potentially conflicting habitat needs of species, while achieving economic targets. We produced 100 software runs and prioritized individual objectives to select four management schedules for further comparisons. We compared outcome differences of the four schedules, including a spatial comparison of two high performing schedules. The software package makes costs and benefits of different schedules explicit and allows for consideration of the spatial configuration of management outcomes in decision-making.

A contemporary analysis of policy implementation for the coastal mangrove forest management in Bangladesh Sundarbans

Despite having more than 200 environmental laws and policies in Bangladesh, the overall ecological situation is almost beyond control. Relying on both primary and secondary sources of data, particularly the legal texts, this study delves into analysing the legal frameworks of Bangladesh pertaining to wildlife and biodiversity conservation in the Sundarbans mangrove forest (SMF). This study finds that the lack of implementation of stringent provisions is one of the key reasons for the failure to successfully conserve biological diversity in the SMF. The other reason that heavily accelerates environmental crimes in Bangladesh is the less severe punishment compared to other crimes. This study result reveals that the Animal Welfare Act 2019 imposes a mere BDT 10,000 (USD 116) for harming any animal. This study also finds that the Environment Court Act 2010 strives to expand environmental governance in every district, but the absolute authority of the Department of Environment (DoE) and its limited resources hinder such lavish expansion. Although the government has revised many outdated laws and policies and enacted new laws such as Bangladesh Environment Conservation Act 1995 (2023), Forest Act 2023, and Forest Conservation Act 2023, evidence indicates that most of the provisions were not successfully implemented due to overlaps with other laws and loopholes within the laws. In addition, complex bureaucratic systems significantly hamper the administration system in forest management. Furthermore, the Director General (DG) of the DoE’s sole authority often sparked concerns regarding the transparency and accountability of this department. Therefore, this paper examines the domestic legal system of Bangladesh for conserving biodiversity in the SMF.

Comparison Between Gans and Diffusion Models in the Generation of Synthetic Images for Enhancing Tree Species Recognition

Objective: This study investigates the application of Generative Adversarial Networks (GANs) and Diffusion Models in data augmentation to improve the classification of tree species images, which is essential for sustainable forest management. Theoretical Framework: Fundamental concepts of machine learning, generative and classifier networks, as well as data augmentation techniques through synthetic image generation, are presented, establishing a solid foundation for the research. Method: The research utilized 2,178 images of cross-sections of wood from 18 species, applying Deep Convolutional GAN (DCGAN) and U-Net with diffusion on a rare species, evaluated using FID and IS metrics. The generated images were used to train and validate classification models, assessed by F1-score. Results and Discussion: The results revealed that Diffusion Models generated more realistic images and performed better in the classification of the rare species. The discussion contextualizes these results in light of the theoretical framework, exploring their implications for environmental management. Limitations, such as the impact of indiscriminate addition of synthetic data, are also addressed. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of forest management and environmental management. These implications may cover areas such as sustainable innovation and biodiversity conservation. Originality/Value: This study contributes to the literature by demonstrating the potential of Diffusion Models to outperform GANs in generating synthetic images for sustainable forest management purposes. The relevance and value of this research are evidenced by its practical application in promoting innovative and sustainable practices in environmental management.

Structures of Forest Stands in Monospecific Reforestations Based on Tectona grandis Lf. (Verbenaceae) in the Sangoué Classified Forest in Côte d’Ivoire

Teak-based reforestation poses the challenge of sustainable development in terms of meeting economic, social and environmental needs. In order to meet the needs of populations for timber and contain anthropogenic pressures on flora, reforestation based on Tectona grandis is initiated in the Sangoué Classified Forest. Therefore, a diagnostic study is therefore essential to assess the effects of this practice on the environment. This study assessed the consequences of planting Tectona grandis on the conservation and restoration of the Sangoué classified forest. For this, the structural and floristic characteristics of teak stands at different stages of evolution were compared. The results showed that young plots have more plant species, are more diverse and more evenly distributed. Older plots have the highest densities and basal areas of stems, with an inverted J-shaped distribution. Young plots have the lowest densities and basal areas, as well as a more regular horizontal structure. The woody species introduced into reforestation are Tectona grandis, Gmelina arborea and Cedrela odorata. In the 33-year-old block, the total basal area value is 18.07 m² per hectare, then 13.72 m² per hectare in the 30-year-old block. As for the 25- and 28-year-old blocks, the basal area values per hectare are 12.61 m2 and 9.39 m2 respectively. Young plots promote natural regeneration and floristic diversity, while older plots present low floristic diversity with reduced structural balance. Introduced species have benefited more from teak planting than native ones. Teak planting may lead to profit, but it presents challenges for biodiversity. The impact of teak planting on the Sangoué classified forest differs depending on the stage of evolution of the stands. Therefore, it has advantages and disadvantages for forest restoration and conservation. The teak plantation needs to be adjusted to forest management.

Thirty Years of Research on Ecosystem Services: The Socio-Economic Role of Forest Visits and Foraging in Enhancing Human Well-Being

This paper examines the socio-economic significance of forest visits and the collection of forest berries and mushrooms (FBMs) in the Czech Republic, emphasising their role in enhancing human well-being and contributing to regional economies. Over a 30-year period, data were collected on the quantities and economic values of FBMs, alongside the intensity of forest visits by the Czech population. This study incorporates a detailed analysis of time series data on FBM collection, exploring trends and fluctuations in the harvested quantities and their economic value. A Lorenz curve analysis reveals significant disparities in the distribution of economic benefits, with a small segment of the population accounting for the majority of the FBM-derived value. Additionally, the research investigates the impact of forest visitation on well-being at the regional level, highlighting the relationship between forest access, visitation intensity, and public health benefits. This study also examines visitors’ expectations, motivations, and perceptions regarding an ideal forest for visitation, providing recommendations for effective marketing strategies. Furthermore, the study explores the contribution of FBMs to net income across different regions, demonstrating substantial regional variation in their economic importance. Notably, the analysis shows that the value of FBMs represents approximately 37% of the net income generated by traditional forestry activities, underscoring its significant economic potential. The findings emphasise the potential of territorial marketing strategies to enhance well-being, particularly in economically disadvantaged regions, and advocate for sustainable forest management practices to protect these valuable resources and ensure equitable access to the benefits provided by forest ecosystems.

The Bionomic Equilibrium Model for Balancing Forest Conservation and Economic Growth: Empirical Evidence from Indonesia

Abstract: The objective of this study is to balance forest conservation with economic growth while accounting for the rate of deforestation. The methodology employed in this research utilizes a mathematical modeling approach, specifically adopting the logistic model to represent forest growth rates. In addition, numerical analysis is applied to illustrate the impact of economic activities on forest areas. The data used in the study consist of deforestation rates in Indonesia from 2000 to 2021. The findings indicate that the rate of economic activity in forested areas is directly proportional to the reduction in forest area. If the rate of deforestation due to economic activity approaches the forest growth rate, the likelihood of forest area reduction increases, and forest depletion will occur if the two rates become equal. To resolve the dilemma between forest conservation and economic growth, this study proposes a solution consisting of three key steps: (1) establishing a minimum forest area that is strictly protected from economic exploitation; (2) setting the ratio between forest growth rates and economic activity rates as a primary foundation for ensuring sustainable forest conservation and economic development; and (3) calculating environmental costs, such as reforestation, based on the proportional relationship between deforestation rates and forest growth rates. Keywords: Deforestation, Environmental Cost, Economy, Forest, Growth Rate

Application of social cognitive theory to determine shaping factors of environmental intention and behaviors of ecotourist in forest areas

BackgroundEcotourism as a responsible travel to natural areas is proposed as a strategy for forest conservation by enhancing the livelihoods of local communities. However, engaging in environmentally friendly behaviors during forest visit is a crucial factor in achieving this conservation. This study aimed to examine the determinants of intention and actual environmental behavior among ecotourists during their visits to forests.MethodsUtilizing social cognitive theory as the theoretical framework, the data from 409 visitors of recreational forest were analyzed. After confirming the validity and reliability of the data, structural equation modeling was employed for analysis.ResultsThe results indicated that the model could explain 59% of the behavioral intention and 27% of the actual environmentally friendly behaviors of ecotourists during their forest visits. Additionally, social influence and the behaviors of other ecotourists were identified as two significant determinants of individuals’ behavioral intention. Self-efficacy and behavioral intention also emerged as significant factors which shape the actual environmental behaviors of tourists, positively.DiscussionThe findings suggest that social expectations, learning from fellow tourists, and enhancing individuals’ abilities while addressing barriers to exhibiting environmentally friendly behaviors should be prioritized in promotional planning for ecotourism.

The Historiography of Forests use Types and Implication for Forest Conservation in the Montane Forests of Ngongbaa, Kilum, Kovifem and Kovkinkar

This study explores the timeline history of forest use types and beneficial relationship of forest, forest communities and conservation in the montane forests of Ngongbaa, Kilum, Kovifem and Kovkinkar from the mid-1970s to 2015. Data and/or information collected for this study comprise literary, questionnaire, interview, focused group discussions and observations. Data for the study was secured from person directly resident adjacent forest in 29 villages. The study shows that apart from being asource of food and medicine, forest first served as settlement and refuge sites for the Nso, Mbiame and Oku people. Today, forest serves as cemetery for the fons (kings), and host shrines which have become conservation hot spots and nurseries for engendered plants and animal species, where the Nso, Mbiame and Oku also performed sacrifices. These conservation hot spots help to sustain the forest in montane ecosystems where pressure on land and forest is high and on the rise. Due to population pressure and limited grazing the grassland compartments in the above forests have been transformed into grazing ground. The long period of intercourse between the Nso, Mbiame, Oku people and their forest enabled them to accumulate rich and useful knowledge of the forest and established customary (non- statutory or quasi-statutory) regulatory frameworks for effective management of forest resources to improve their livelihood and culture. Due to the depletion of forest and the adoption of stricter conservation policies, some forest activities particularly carving and hunting have decreased in intensity while some like Ngwa’a (royal hunt) has simply phased out due to the extinction of animal species which were hunted. The paper recommends that traditional systems of managing forest be reinforced to enhance the conservation of resources in sacred groves that are nurseries for threatened and extinct species in degraded ecosystems. The state should recognise and integrate non-statutory forestry policy frameworks established in the Nso, Mbiame and Oku into the national forestry policy as village-based institutions for the management of land and forest in forest communities. The government should also empower traditional authorities (Fon,Nwerong and Lanlords (ataangven) and support reforestation and forest restoration programmes formulated by them. This is because laws put in place by these institutions are respected in the most part by their subjects without being forced to do so, unlike in the Ngongbaa and Kilum forests managed by the state, where forestry laws are permanently violated by local people who consider forestry authorities as state agents who are depriving them of their right of tenure and usufruct. This would likely help to maintain biodiversity and knowledge attached to it, which is gradually disappearing due to forest depletion.

Multi-Year Hurricane Impacts Across an Urban-to-Industrial Forest Use Gradient

Coastal forests in the eastern United States are increasingly threatened by hurricanes; however, monitoring their initial impacts and subsequent recovery is challenging across scales. Understanding disturbance impacts and responses is essential for sustainable forest management, biodiversity conservation, and climate change adaptation. Using Sentinel-2 imagery, we calculated the annual Normalized Difference Vegetation Index change (∆NDVI) of forests before and after Hurricane Michael (HM) in Florida to determine how different forest use types were impacted, including the initial wind damage in 2018 and subsequent recovery or reactive management for two focal areas located near and far from the coast. We used detailed parcel data to define forest use types and characterized multi-year impacts using sampling and k-means clustering. We analyzed five years of timberland logging activity up to the fall of 2023 to identify changes in logging rates that may be attributable to post-hurricane salvage efforts. We found uniform impacts across forest use types near the coast, where winds were the most intense but differences inland. Forest use types showed a wide range of multi-year responses. Urban forests had the fastest 3-year recovery, and the timberland response was delayed, apparently due to salvage logging that increased post-hurricane, peaked in 2021–2022, and returned to the pre-hurricane rate by 2023. The initial and secondary consequences of HM on forests were complex, as they varied across local and landscape gradients. These insights reveal the importance of considering forest use types to understand the resilience of coastal forests in the face of potentially increasing hurricane activity.

Examining the effect of forest certification on timber harvest best management practice implementation

ABSTRACT Forest certification programs are voluntary initiatives emphasizing sustainable forestry and harvest practices. Compliance with certification standards is enforced through third-party audits. One requirement of most forest certification systems is the use of best management practices during harvesting activities. These practices are designed to mitigate potential negative outcomes of forest management and timber harvesting activities. Best management practice implementation has been found to have a variety of positive outcomes on water quality and other resources. However, information relating forest certification to implementation of best management practices and environmental outcomes on certified versus noncertified lands is scant. Here, we examine the role of third-party certification as it contributes to enhanced forest stewardship via implementation of voluntary best management practices. Our study adds to the limited body of research comparing sustainability practices and outcomes on certified vs. noncertified lands. In alignment with previous research on the topic, our study suggests that adherence to best management practices is better on certified versus noncertified forests. Our findings also suggest that for large public agency ownerships, organizationally driven factors beyond forest certification (e.g. institutional policy and trained staff) influence the use of best management practices during timber harvests.

DASR-Net: Land Cover Classification Methods for Hybrid Multiattention Multispectral High Spectral Resolution Remote Sensing Imagery

The prompt acquisition of precise land cover categorization data is indispensable for the strategic development of contemporary farming practices, especially within the realm of forestry oversight and preservation. Forests are complex ecosystems that require precise monitoring to assess their health, biodiversity, and response to environmental changes. The existing methods for classifying remotely sensed imagery often encounter challenges due to the intricate spacing of feature classes, intraclass diversity, and interclass similarity, which can lead to weak perceptual ability, insufficient feature expression, and a lack of distinction when classifying forested areas at various scales. In this study, we introduce the DASR-Net algorithm, which integrates a dual attention network (DAN) in parallel with the Residual Network (ResNet) to enhance land cover classification, specifically focusing on improving the classification of forested regions. The dual attention mechanism within DASR-Net is designed to address the complexities inherent in forested landscapes by effectively capturing multiscale semantic information. This is achieved through multiscale null attention, which allows for the detailed examination of forest structures across different scales, and channel attention, which assigns weights to each channel to enhance feature expression using an improved BSE-ResNet bilinear approach. The two-channel parallel architecture of DASR-Net is particularly adept at resolving structural differences within forested areas, thereby avoiding information loss and the excessive fusion of features that can occur with traditional methods. This results in a more discriminative classification of remote sensing imagery, which is essential for accurate forest monitoring and management. To assess the efficacy of DASR-Net, we carried out tests with 10m Sentinel-2 multispectral remote sensing images over the Heshan District, which is renowned for its varied forestry. The findings reveal that the DASR-Net algorithm attains an accuracy rate of 96.36%, outperforming classical neural network models and the transformer (ViT) model. This demonstrates the scientific robustness and promise of the DASR-Net model in assisting with automatic object recognition for precise forest classification. Furthermore, we emphasize the relevance of our proposed model to hyperspectral datasets, which are frequently utilized in agricultural and forest classification tasks. DASR-Net’s enhanced feature extraction and classification capabilities are particularly advantageous for hyperspectral data, where the rich spectral information can be effectively harnessed to differentiate between various forest types and conditions. By doing so, DASR-Net contributes to advancing remote sensing applications in forest monitoring, supporting sustainable forestry practices and environmental conservation efforts. The findings of this study have significant practical implications for urban forestry management. The DASR-Net algorithm can enhance the accuracy of forest cover classification, aiding urban planners in better understanding and monitoring the status of urban forests. This, in turn, facilitates the development of effective forest conservation and restoration strategies, promoting the sustainable development of the urban ecological environment.

Developing a specific model to exploring the determinant of individuals’ attitude toward forest conservation

IntroductionIn the context of forest conservation, individuals’ attitude can significantly influence their intentions and subsequent behaviors towards conserving forests. However, there is a research gap when it comes to understanding the determinants of individuals’ attitude towards forests conservation. To address this gap, the present study aimed to investigate the influence of variables associated with values from value-belief-norm theory, awareness of consequences, and ascription of responsibility from norm activation model on individuals’ attitudes as main determinant of behavior intention.MethodsThe Data of study was collected from a sample of 200 students from Behbahan University, Iran. through a questionnaire designed specifically for this purpose. The validity and reliability of questionnaire were confirmed. Structural equation modeling was employed to analyze the collected data.ResultsThe findings of the study revealed that the examined variables were able to describe 88.6% of the variance in individuals’ attitude towards forest conservation. Specifically, it was found that biospheric (ƛ= 0.097) and altruistic (ƛ= 0.385) values, ascription of responsibility (ƛ= 0.150), and awareness of consequences (ƛ= 0.380) had significant and positive effects on individuals’ attitude towards forest conservation. On the other hand, egoistic values exhibited a significant and negative impact (ƛ= –0.071) on individuals’ attitude.DiscussionThese research findings hold significant implications for planners and policymakers involved in forest conservation efforts. By understanding the factors that shape individuals’ conservation attitudes, decision-makers can develop targeted strategies and interventions to strengthen positive attitudes towards forest conservation. Given the positive influence of biospheric values and awareness of consequences, developing awareness-raising programs to enhance individuals’ environmental knowledge and the awareness of outcomes of their conservation actions can be considered as strategy to strengthen public’s attitude and improvement their participation in forest conservation projects.

Evaluating soil quality and carbon storage in Western Ghats Forests, Karnataka, India, for sustainable forest management.

Monitoring soil quality index (SQI) and soil organic carbon (SOC) stock status of the Western Ghats (WG) forests in India is crucial for providing vital ecosystem services alongside sustainable forest management practices. However, comprehensive profile data on SQI and SOC stock across different forest types under WG forests are limited. The study evaluated SQI and SOC stock under three forest types, i.e. tropical wet evergreen (TWE), tropical semi-evergreen (TSE), and tropical moist deciduous (TMD) across WG in Karnataka. SQI was assessed using principal component analysis with two indexing approaches and scoring methodologies, with weightage indexing through nonlinear scoring functions (NLSF) showing superiority over other methodologies. TMD forests exhibited the highest SQI, followed by TWE and TSE, while the lowest was observed in Rippon Pet RF (0.36 surface, 0.28 control section), primarily due to limitations in organic carbon and clay content. SOC stock mirrored SQI trends (TMD > TWE > TSE), with the highest values in Kollegal RF (339.3 MG ha-1) and lowest in Rippon Pet RF (102.5 MG ha-1). Although SOC and SQI were established to be ideal indicators for dynamic ecosystem services (ESs), high OC content in surface soils of Poomale NF induces pedogenic acidification and Al toxicities, indicating potential forest soil degradation. Significant correlation with control section SQI and SOC (p < 0.05) emphasises monitoring subsurface soil status to identify soil degradation, sustainable forestry practices, and complex ESs in forest systems.

Mapping and assessment of ecological vulnerability to wildfires in Europe

BackgroundWildfires play a significant and complex role in ecosystems, influencing various aspects of their functioning and structure. These natural disturbances can positively and negatively impact ecosystems, shaping landscapes, nutrient cycles, biodiversity, and ecological processes. This study focuses on assessing and integrating the different factors that affect the ecological vulnerability to wildfires at the European scale. Our methodology follows three steps. Firstly, ecological values based on biological distinctiveness and conservation status were estimated to understand pre-fire conditions better. Secondly, we obtain vegetation’s coping capacity (or resistance) to the impacts of fire, considering the functional traits of plants and fire characteristics through a fire extreme scenario. Finally, post-fire recovery time was calculated by considering the species-specific recovery time, recovery starting time, growth recovery rate, and the environmental constraints affecting the optimal vegetation response. These three variables were combined using a dynamic model that assumed the change of value due to wildfires integrated throughout the recovery time.ResultsOur results indicate that the tundra biome emerges as the most ecologically vulnerable to fire, primarily due to its high ecological values and long recovery time, which outweigh its moderate coping capacity. Following closely, the temperate conifer forests also exhibit high vulnerability driven by their high recovery time, despite moderate ecological and coping capacity values. The boreal forests rank next, with moderate vulnerability due to their long recovery time and moderate coping capacity. The Mediterranean region, although having moderate ecological values and recovery time, shows a notable vulnerability influenced by lower coping capacity. The temperate broadleaf and mixed forests demonstrate relatively lower vulnerability owing to their balanced ecological values, moderate recovery time, and substantial coping capacity. Lastly, the temperate grasslands, savannas, and shrublands are the least vulnerable, benefiting from lower ecological values and the fastest recovery time, alongside moderate coping capacity, which collectively reduce their overall fire vulnerability.Furthermore, we found that coping capacity is the factor that most influenced ecological vulnerability to wildfires.ConclusionsThe study identifies key zones for European or national policies on fire prevention and post-wildfire regeneration. It offers insights into effective forest management and conservation policies, applicable to current conditions. Additionally, the methods can predict future ecological vulnerability to wildfires based on climatic and socio-economic trends.

Amazon vs the Amazon: Green Capitalist Imaginaries and the Death of Biodiversity

ABSTRACT Capitalist forces shape public consciousness and, by extension, how everyday people imagine environmental matters of concern. This article investigates the historical cycling of the three most influential green imaginaries of Western neoliberalism: biodiversity, ecosystem services, and climate change. Using the Amazon rainforest and Amazon.com as icons of the clash between capitalism and nature, we investigate how shifting neoliberal fashions create opportunities for capital to evacuate place consciousness from U.S. environmental politics. The destruction of place consciousness enables corporations to damage the biosphere while minimizing political interruption. We show how place-erasure works through historical cases linked to each phase: the sustainable tropical forest sourcing of The Body Shop and Ben & Jerry’s (1990s), compensatory wetland mitigation in the Midwest (2000s), and Amazon.com’s carbon offset program (2010s–present). In our discussion of these imaginaries or “waves,” we contend that the current mainstream neoliberal climate paradigm is the most pernicious as it diverts the public's attention to the sky and away from accelerating ecological violence on the ground.

Optimized emamectin benzoate trunk injection: addressing temperature limitations for pine wilt disease control.

Pine wilt disease (PWD), caused by the pinewood nematode Bursaphelenchus xylophilus, poses a significant threat to global forestry, resulting in extensive economic and ecological damage. Traditional trunk injection agents (TIAs) are limited by environmental factors, such as high winter temperatures and vigorous resin flow, particularly in southern China. This study aimed to develop an ordinary temperature trunk injection agent (OTTIA) for year-round application and to evaluate its performance under high-temperature conditions in comparison to commercial TIAs. Extensive laboratory and field tests identified N,N-Dimethylformamide (DMF) and benzyl acetate as optimal solvents and Tween-40 as an effective emulsifier for the OTTIA formulation. The new agent was fully absorbed by Pinus massoniana within 3 h at temperatures exceeding 30 °C, outperforming existing commercial agents. Treated trees maintained comparable emamectin benzoate (EB) levels but achieved lower LC90 lethal concentration values (27.65 mg L-1), indicating greater efficacy. The OTTIA provided protection against PWD for ≤360 days postinjection. The development of OTTIA marks a significant advancement in PWD management, offering an effective solution for high-temperature regions and potentially transforming year-round treatment strategies. The results highlight the critical role of optimizing solvent and emulsifier combinations to enhance the efficacy and application of trunk injection agents, contributing to sustainable forest management and improved protection against PWD. © 2024 Society of Chemical Industry.

Potential Identification of Root System Architecture Using GPR for Tree Translocation as a Sustainable Forestry Task: A Case Study of the Wild Service Tree

Sustainable economic development serves society but requires taking over space, often at the expense of areas occupied by single trees or even parts of forest areas. Techniques for transplanting adult trees used in various conflict situations at the interface of economy and nature work as a tool for sustainable management of urbanized and industrial areas, as well as, in certain circumstances, forest or naturally valuable areas. This study aimed to evaluate the effectiveness of ground-penetrating radar (GPR) in determining the horizontal and vertical extent of tree root systems before transplantation. Employing this non-invasive method to map root system architecture aids in the appropriate equipment selection and helps define the dimensions and depth of trenches to minimize root damage during excavation. This study specifically focused on the root systems of wild service trees (Sorbus torminalis (L.) Crantz) found in a limestone mine area, where some specimens were planned to be transplanted, as the species is protected under law in Poland. The root systems were scanned with a ground-penetrating radar equipped with a 750 MHz antenna. Then, the root balls were dug out, and the root parameters and other dendrometric parameters were measured. The GPR survey and manual root analyses provided rich comparative graphic material. The number of the main roots detected by the GPR was comparable to those inventoried after extracting the stump. The research was carried out in problematic soil, causing non-standard deformations of the root systems. Especially in such conditions, identifying unusually arranged roots using the GPR method is valuable because it helps in a detailed planning of the transplanting process, minimizing root breakage during the activities carried out, which increases the survival chances of the transplanted tree in a new location.