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743 Results Found

  • Article
  • Open Access
9 Citations
6,650 Views
21 Pages

Method for Attack Tree Data Transformation and Import Into IT Risk Analysis Expert Systems

  • Donatas Vitkus,
  • Jonathan Salter,
  • Nikolaj Goranin and
  • Dainius Čeponis

26 November 2020

Information technology (IT) security risk analysis preventatively helps organizations in identifying their vulnerable systems or internal controls. Some researchers propose expert systems (ES) as the solution for risk analysis automation since risk a...

(This article belongs to the Special Issue Human-Centered Computing and Information Security: Recent Advances & Intelligent Applications)
  • Article
  • Open Access
3 Citations
7,281 Views
27 Pages

Integrated Attack Tree in Residual Risk Management Framework

  • Ahmed Nawaz Khan,
  • Jeremy Bryans,
  • Giedre Sabaliauskaite and
  • Hesamaldin Jadidbonab

29 November 2023

Safety-critical cyber-physical systems (CPSs), such as high-tech cars having cyber capabilities, are highly interconnected. Automotive manufacturers are concerned about cyber attacks on vehicles that can lead to catastrophic consequences. There is a...

(This article belongs to the Special Issue Feature Papers in Information in 2023)
  • Article
  • Open Access
13 Citations
9,348 Views
28 Pages

THREATGET: Towards Automated Attack Tree Analysis for Automotive Cybersecurity

  • Sebastian Chlup,
  • Korbinian Christl,
  • Christoph Schmittner,
  • Abdelkader Magdy Shaaban and ,
  • Stefan Schauer and
  • Martin Latzenhofer
  • + 1 author+ 0 author

27 December 2022

The automotive domain is moving away from simple isolated vehicles to interconnected networks of heterogeneous systems forming a complex transportation infrastructure. The additional means of communication result in increased attack surfaces which ca...

(This article belongs to the Special Issue Automotive System Security: Recent Advances and Challenges)
  • Article
  • Open Access
17 Citations
3,839 Views
25 Pages

Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms

  • Ali Zaman,
  • Salman A. Khan,
  • Nazeeruddin Mohammad,
  • Abdelhamied A. Ateya and ,
  • Sadique Ahmad and
  • Mohammed A. ElAffendi
  • + 1 author+ 0 author

22 March 2025

A software-defined network (SDN) is a new architecture approach for constructing and maintaining networks with the main goal of making the network open and programmable. This allows the achievement of specific network behavior by updating and install...

  • Article
  • Open Access
15 Citations
5,445 Views
14 Pages

Quantitative Model of Attacks on Distribution Automation Systems Based on CVSS and Attack Trees

  • Erxia Li,
  • Chaoqun Kang,
  • Deyu Huang,
  • Modi Hu and ,
  • Fangyuan Chang,
  • Lianjie He and
  • Xiaoyong Li
  • + 2 authors+ 0 author

29 July 2019

This study focuses on the problem of attack quantification in distribution automation systems (DASs) and proposes a quantitative model of attacks based on the common vulnerability scoring system (CVSS) and attack trees (ATs) to conduct a quantitative...

(This article belongs to the Special Issue Advanced Topics in Systems Safety and Security)
  • Article
  • Open Access
7 Citations
4,127 Views
25 Pages

Formal Template-Based Generation of Attack–Defence Trees for Automated Security Analysis

  • Jeremy Bryans,
  • Lin Shen Liew,
  • Hoang Nga Nguyen,
  • Giedre Sabaliauskaite and
  • Siraj Ahmed Shaikh

29 August 2023

Systems that integrate cyber and physical aspects to create cyber-physical systems (CPS) are becoming increasingly complex, but demonstrating the security of CPS is hard and security is frequently compromised. These compromises can lead to safety fai...

(This article belongs to the Special Issue Automotive System Security: Recent Advances and Challenges)
  • Article
  • Open Access
1,107 Views
20 Pages

30 April 2025

Forests play a vital role in maintaining ecological balance, making accurate forest monitoring technologies essential. Remote sensing point cloud data always capture distinctive geometric features of forests, including the cylindrical symmetry of tre...

(This article belongs to the Section A: Computer Science)
  • Article
  • Open Access
7 Citations
4,623 Views
20 Pages

Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods

  • Samuel Ndichu,
  • Sangwook Kim,
  • Seiichi Ozawa,
  • Tao Ban and ,
  • Takeshi Takahashi and
  • Daisuke Inoue
  • + 1 author+ 0 author

22 December 2021

Attacks using Uniform Resource Locators (URLs) and their JavaScript (JS) code content to perpetrate malicious activities on the Internet are rampant and continuously evolving. Methods such as blocklisting, client honeypots, domain reputation inspecti...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
1 Citations
2,933 Views
17 Pages

Formalizing Attack Tree on Security Object for MySANi in Legal Metrology

  • Muhammad Azwan Ibrahim,
  • Faizan Qamar,
  • Zarina Shukur,
  • Nasharuddin Zainal and ,
  • Nazri Marzuki and
  • Maria Ulfah Siregar
  • + 1 author+ 0 author

16 January 2023

Illegal software manipulation is one of the biggest issues in software security. This includes the legally relevant software which are now crucial modules in weight and measuring instruments such as weighbridges. Despite the advancement and complexit...

  • Article
  • Open Access
10 Citations
5,145 Views
31 Pages

The increasing reliance on digital and automated systems in the maritime industry has introduced significant cybersecurity risks to ship operations. While prior research has examined cyber risk management, systematic modeling of attack scenarios rema...

(This article belongs to the Special Issue Novel Maritime Techniques and Technologies, and Their Safety)
  • Article
  • Open Access
17 Citations
3,981 Views
13 Pages

Long-Lasting Insecticide Netting for Protecting Tree Stems from Attack by Ambrosia Beetles (Coleoptera: Curculionidae: Scolytinae)

  • Christopher M. Ranger,
  • Christopher T. Werle,
  • Peter B. Schultz,
  • Karla M. Addesso and ,
  • Jason B. Oliver and
  • Michael E. Reding
  • + 1 author+ 0 author

20 December 2019

Ambrosia beetles (Coleoptera: Curculionidae: Scolytinae) are destructive wood-boring insects of horticultural trees. We evaluated long-lasting insecticide netting for protecting stems against ambrosia beetles. Container-grown eastern redbud, Cercis c...

(This article belongs to the Collection Integrated Pest Management Strategies for Horticultural Crops)
  • Article
  • Open Access
9 Citations
4,849 Views
10 Pages

22 July 2020

Cerambycidae Diastocera trifasciata attacks were studied from October 2015 to September 2017 in three cashew tree orchards in the locality of Brobo in central Côte d’Ivoire. One hundred fifty-three (153) cashew trees, arranged on a diagon...

  • Article
  • Open Access
9 Citations
3,919 Views
34 Pages

Security Quantification of Container-Technology-Driven E-Government Systems

  • Subrota Kumar Mondal,
  • Tian Tan,
  • Sadia Khanam,
  • Keshav Kumar and ,
  • Hussain Mohammed Dipu Kabir and
  • Kan Ni
  • + 1 author+ 0 author

With the rapidly increasing demands of e-government systems in smart cities, a myriad of challenges and issues are required to be addressed. Among them, security is one of the prime concerns. To this end, we analyze different e-government systems and...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
4 Citations
2,756 Views
15 Pages

GWAS on the Attack by Aspen Borer Saperda calcarata on Black Cottonwood Trees Reveals a Response Mechanism Involving Secondary Metabolism and Independence of Tree Architecture

  • Sebastián L. Sepúlveda,
  • David B. Neale,
  • Jason A. Holliday,
  • Randi Famula and ,
  • Oliver Fiehn,
  • Brian J. Stanton and
  • Fernando P. Guerra
  • + 2 authors+ 0 author

30 May 2023

Black cottonwood (Populus trichocarpa) is a species of economic interest and an outstanding study model. The aspen borer (Saperda calcarata) causes irreversible damage to poplars and other riparian species in North America. The insect can produce mul...

(This article belongs to the Special Issue Genomics of Growth Traits and Stress Acclimation in Forest Trees)
  • Article
  • Open Access
16 Citations
3,809 Views
19 Pages

Low-Rate DoS Attacks Detection Based on MAF-ADM

  • Sijia Zhan,
  • Dan Tang,
  • Jianping Man,
  • Rui Dai and
  • Xiyin Wang

29 December 2019

Low-rate denial of service (LDoS) attacks reduce the quality of network service by sending periodical packet bursts to the bottleneck routers. It is difficult to detect by counter-DoS mechanisms due to its stealthy and low average attack traffic beha...

(This article belongs to the Section Sensor Networks)
  • Proceeding Paper
  • Open Access
1 Citations
2,259 Views
8 Pages

28 September 2025

Heart disease is the leading cause of death across the world. However, such an early prediction of heart attacks can save lives if clinical data are used to predict it accurately. For this, we use four machine learning models: Naive Bayes, Decision T...

(This article belongs to the Proceedings of The 7th International Global Conference Series on ICT Integration in Technical Education & Smart Society)
  • Article
  • Open Access
13 Citations
4,475 Views
16 Pages

Several malware variants have attacked systems and data over time. Ransomware is among the most harmful malware since it causes huge losses. In order to get a ransom, ransomware is software that locks the victim’s machine or encrypts his person...

  • Article
  • Open Access
7 Citations
4,583 Views
27 Pages

SESAME: Automated Security Assessment of Robots and Modern Multi-Robot Systems

  • Manos Papoutsakis,
  • George Hatzivasilis,
  • Emmanouil Michalodimitrakis,
  • Sotiris Ioannidis and ,
  • Maria Michael,
  • Antonis Savva,
  • Panagiota Nikolaou,
  • Eftychia Stokkou and
  • Gizem Bozdemir
  • + 4 authors+ 0 author

26 February 2025

As robotic systems become more integrated into our daily lives, there is growing concern about cybersecurity. Robots used in areas such as autonomous driving, surveillance, surgery, home assistance, and industrial automation can be vulnerable to cybe...

(This article belongs to the Special Issue Cyber-Physical Systems: Recent Developments and Emerging Trends)
  • Article
  • Open Access
57 Citations
10,606 Views
12 Pages

26 July 2023

SQL injection attacks are one of the most common types of attacks on Web applications. These attacks exploit vulnerabilities in an application’s database access mechanisms, allowing attackers to execute unauthorized SQL queries. In this study,...

(This article belongs to the Special Issue Advanced Artificial Intelligence Models and Its Applications)
  • Article
  • Open Access
1 Citations
622 Views
31 Pages

Cyber Security Incident Response (IR) playbooks are used to capture the steps required to recover from a cyber intrusion. Intrusion modelling focuses on a specific potential cyber intrusion and is used to identify where and what countermeasures are n...

(This article belongs to the Section Security Engineering & Applications)
  • Article
  • Open Access
3 Citations
7,654 Views
19 Pages

5 March 2025

In recent years, the misuse of large language models (LLMs) has emerged as a significant issue. This paper focuses on a specific attack method known as the greedy coordinate gradient (GCG) jailbreak attack, which compels LLMs to generate responses be...

(This article belongs to the Section Information Security and Privacy)
  • Article
  • Open Access
60 Citations
7,600 Views
16 Pages

Deep Machine Learning Model-Based Cyber-Attacks Detection in Smart Power Systems

  • Abdulaziz Almalaq,
  • Saleh Albadran and
  • Mohamed A. Mohamed

25 July 2022

In this study, a deep learning-based attack detection model is proposed to address the problem of system disturbances in energy systems caused by natural events like storms and tornadoes or human-made events such as cyber-attacks. The proposed model...

(This article belongs to the Special Issue Probability and Stochastic Processes with Applications to Communications, Systems and Networks)
  • Article
  • Open Access
12 Citations
2,812 Views
26 Pages

Smart Grid Intrusion Detection System Based on Incremental Learning

  • Xuming Ni,
  • Shuo Jiang,
  • Kan Yu,
  • Chunyan An and ,
  • Yuchen Zhang and
  • Hairui Huang
  • + 1 author+ 0 author

26 September 2025

With the rapid development of information and communication technology, the intelligent transformation process of traditional power grid continues to accelerate. As an important innovation in the field of power service, smart grid completely revoluti...

  • Article
  • Open Access
3 Citations
936 Views
20 Pages

2 February 2026

Multiple factors, including global climate change and rising sea levels, increase the frequency and intensity of seawater intrusion. However, most previous studies have not regarded seawater intrusion as a typical accident for systematic safety risk...

(This article belongs to the Section Systems Practice in Social Science)
  • Review
  • Open Access
42 Citations
8,929 Views
11 Pages

What Happens to Wood after a Tree Is Attacked by a Bark Beetle?

  • Štěpán Hýsek,
  • Radim Löwe and
  • Marek Turčáni

27 August 2021

Advancing climate change is affecting the health and vitality of forests in many parts of the world. Europe is currently facing spruce bark beetle outbreaks, which are most often caused by wind disturbances, hot summers, or lack of rainfall and are h...

(This article belongs to the Special Issue Properties of Wood and Wood-Based Materials: Expanding of the Database by Reliable Data)
  • Article
  • Open Access
21 Citations
6,604 Views
10 Pages

This paper presents the differential cryptanalysis of ARX based cipher Chaskey using tree search based heuristic approach. ARX algorithms are suitable for resource-constrained devices such as IoT and very resistant to standard cryptanalysis such as l...

  • Article
  • Open Access
11 Citations
5,844 Views
41 Pages

31 December 2023

As threat vectors and adversarial capabilities evolve, Cloud-Assisted Connected and Autonomous Vehicles (CCAVs) are becoming more vulnerable to cyberattacks. Several established threat analysis and risk assessment (TARA) methodologies are publicly av...

(This article belongs to the Special Issue Communication, Security, and Privacy in IoT)
  • Article
  • Open Access
15 Citations
8,038 Views
38 Pages

18 September 2024

As security breaches are increasingly widely reported in today’s culture, cybersecurity is gaining attention on a global scale. Threat modeling methods (TMM) are a proactive security practice that is essential for pinpointing risks and limiting...

  • Article
  • Open Access
3 Citations
2,467 Views
24 Pages

A Machine Learning Approach to Detect Denial of Sleep Attacks in Internet of Things (IoT)

  • Ishara Dissanayake,
  • Anuradhi Welhenge and
  • Hesiri Dhammika Weerasinghe

20 November 2025

The Internet of Things (IoT) has rapidly evolved into a central component of today’s technological landscape, enabling seamless connectivity and communication among a vast array of devices. It underpins automation, real-time monitoring, and sma...

  • Article
  • Open Access
4 Citations
2,573 Views
22 Pages

Fire Risk Assessment of Lithium-Ion Power Battery Shipping Containers in Maritime Transportation Scenarios

  • Zhen Qiao,
  • Xiaotiao Zhan,
  • Yao Tian,
  • Yuan Gao and ,
  • Longjun He and
  • Yuxiang Lu
  • + 1 author+ 0 author

25 November 2025

As the demand for maritime transportation of power battery shipping containers grows rapidly, the incidence of fire accidents has increased in tandem. However, most studies focus on analyzing fire causes through the thermal runaway mechanism; few ana...

  • Article
  • Open Access
1,860 Views
24 Pages

25 August 2025

Weapon systems have transitioned from hardware-centered designs to software-driven platforms, introducing new cybersecurity risks, including software manipulation and cyberattacks. To address these challenges, this study proposes an improved manufact...

(This article belongs to the Special Issue Data-Driven Analysis of Industrial Systems Using AI)
  • Article
  • Open Access
4 Citations
5,696 Views
17 Pages

10 August 2023

Right from the beginning, attendance has played an important role in the education systems, not only in student success but in the overall interest of the matter. Although all schools try to accentuate good attendance, still some schools find it hard...

  • Article
  • Open Access
8 Citations
6,265 Views
24 Pages

Software is behind the technological solutions that deliver many services to our society, which means that software security should not be considered a desirable feature anymore but more of a necessity. Protection of software is an endless labor that...

(This article belongs to the Special Issue Managing Cybersecurity Threats and Increasing Organizational Resilience)
  • Article
  • Open Access
9 Citations
3,118 Views
21 Pages

Combining Sentinel-2 Data and Risk Maps to Detect Trees Predisposed to and Attacked by European Spruce Bark Beetle

  • Per-Ola Olsson,
  • Pengxiang Zhao,
  • Mitro Müller,
  • Ali Mansourian and
  • Jonas Ardö

8 November 2024

The European spruce bark beetle is a major disturbance agent in Norway spruce forests in Europe, and with a changing climate it is predicted that damage will increase. To prevent the bark beetle population buildup, and to limit further spread during...

(This article belongs to the Section Forest Remote Sensing)
  • Article
  • Open Access
1 Citations
3,853 Views
10 Pages

Changes in Transpiration and Leaf Water Potential in Douglas-Fir Trees following Douglas-Fir Beetle Attack and Mechanical Girdling

  • Javier E. Mercado,
  • Robert T. Walker,
  • Scott Franklin,
  • Shannon L. Kay and ,
  • Susana Karen Gomez and
  • Robert M. Hubbard
  • + 1 author+ 0 author

7 December 2021

Bark beetles and their associated fungi kill trees readily, but we often ignore which organism is the leading cause of tree mortality. While phloem feeding beetles inhibit photosynthate transport, their associated fungi block the tracheids disrupting...

(This article belongs to the Section Forest Health)
  • Article
  • Open Access
22 Citations
6,970 Views
15 Pages

19 November 2014

The invasive woodwasp Sirex noctilio (Hymenoptera: Siricidae) is established in east-central North America. A replicated case study testing the effectiveness of silvicultural treatments for reducing the number of S. noctilio attacked trees in a stand...

  • Article
  • Open Access
1,496 Views
15 Pages

29 January 2026

Bark beetle infestations and other natural disturbances have increasingly affected Norway spruce (Picea abies (L.) Karst.) forests across Europe resulting in devaluation and decreased applicability of woody biomass of such trees. The aim of this rese...

(This article belongs to the Section Wood Science and Forest Products)
  • Article
  • Open Access
2 Citations
3,855 Views
20 Pages

30 September 2023

Client puzzle protocols are widely adopted mechanisms for defending against resource exhaustion denial-of-service (DoS) attacks. Among the simplest puzzles used by such protocols, there are cryptographic challenges requiring the finding of hash value...

(This article belongs to the Topic Modeling and Practice for Trustworthy and Secure Systems)
  • Article
  • Open Access
36 Citations
6,123 Views
25 Pages

Continuous Quantitative Risk Management in Smart Grids Using Attack Defense Trees

  • Erkuden Rios,
  • Angel Rego,
  • Eider Iturbe,
  • Marivi Higuero and
  • Xabier Larrucea

7 August 2020

Although the risk assessment discipline has been studied from long ago as a means to support security investment decision-making, no holistic approach exists to continuously and quantitatively analyze cyber risks in scenarios where attacks and defens...

(This article belongs to the Special Issue Cybersecurity and Privacy in Smart Cities)
  • Article
  • Open Access
1 Citations
1,352 Views
42 Pages

A Hybrid Time Series Forecasting Model Combining ARIMA and Decision Trees to Detect Attacks in MITRE ATT&CK Labeled Zeek Log Data

  • Raymond Freeman,
  • Sikha S. Bagui,
  • Subhash C. Bagui,
  • Dustin Mink and ,
  • Sarah Cameron and
  • Germano Correa Silva De Carvalho
  • + 1 author+ 0 author

19 February 2026

Intrusion detection systems face challenges in processing high-volume network traffic while maintaining accuracy across diverse low volume attack types. This study presents a hybrid approach combining ARIMA time series forecasting with Decision Tree...

(This article belongs to the Special Issue Recent Advances in Intrusion Detection Systems Using Machine Learning)
  • Article
  • Open Access
8 Citations
2,949 Views
19 Pages

Intrusion Detection Systems (IDSs) are an important tool to mitigate cybersecurity threats in the ICT infrastructures. Preferable properties of the IDSs are the optimization of the attack detection accuracy and the minimization of the computing resou...

(This article belongs to the Special Issue Machine Learning and Cybersecurity—Trends and Future Challenges)
  • Article
  • Open Access
3 Citations
3,516 Views
10 Pages

The non-native invasive box-tree moth Cydalima perspectalis causes severe damage to ornamental box trees (Buxus spp.) and natural boxwood stands. So far, no promising natural enemy of C. perspectalis has been discovered in Europe. Many garden owners...

(This article belongs to the Section Insect Pest Management)
  • Article
  • Open Access
34 Citations
4,976 Views
18 Pages

Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems

  • Onur Polat,
  • Muammer Türkoğlu,
  • Hüseyin Polat,
  • Saadin Oyucu and ,
  • Hüseyin Üzen,
  • Fahri Yardımcı and
  • Ahmet Aksöz
  • + 2 authors+ 0 author

5 February 2024

Supervisory Control and Data Acquisition (SCADA) systems, which play a critical role in monitoring, managing, and controlling industrial processes, face flexibility, scalability, and management difficulties arising from traditional network structures...

(This article belongs to the Special Issue Intelligent Solutions for Cybersecurity)
  • Article
  • Open Access
20 Citations
6,300 Views
26 Pages

GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids

  • Tan Duy Le,
  • Mengmeng Ge,
  • Adnan Anwar,
  • Seng W. Loke and ,
  • Razvan Beuran,
  • Robin Doss and
  • Yasuo Tan
  • + 2 authors+ 0 author

24 June 2022

The smart grid is one of the core technologies that enable sustainable economic and social developments. In recent years, various cyber attacks have targeted smart grid systems, which have led to severe, harmful consequences. It would be challenging...

(This article belongs to the Special Issue Smart Sensor for Smartgrids and Microgrids)
  • Article
  • Open Access
6 Citations
3,330 Views
19 Pages

Sensitivity Analysis for Vulnerability Mitigation in Hybrid Networks

  • Attiq Ur-Rehman,
  • Iqbal Gondal,
  • Joarder Kamruzzaman and
  • Alireza Jolfaei

The development of cyber-assured systems is a challenging task, particularly due to the cost and complexities associated with the modern hybrid networks architectures, as well as the recent advancements in cloud computing. For this reason, the early...

(This article belongs to the Section Networks)
  • Article
  • Open Access
17 Citations
5,154 Views
26 Pages

31 October 2019

In recent years, distributed denial of service (DDoS) attacks have increasingly shown the trend of multiattack vector composites, which has significantly improved the concealment and success rate of DDoS attacks. Therefore, improving the ubiquitous d...

(This article belongs to the Special Issue Machine Learning for Cybersecurity Threats, Challenges, and Opportunities)
  • Article
  • Open Access
1 Citations
3,756 Views
20 Pages

Assessment of Human–Bear Conflict Through Time and Space: A Case Study from Ilgaz District, Türkiye

  • Atilla Dinçer Kara,
  • Derya Gülçin,
  • Efehan Ulaş,
  • Elif Yıldız Ay and ,
  • Özkan Evcin,
  • Kerim Çiçek,
  • Javier Velázquez and
  • Ali Uğur Özcan
  • + 3 authors+ 0 author

The brown bear (Ursus arctos) occurs across several regions of Türkiye and occasionally damages beehives near rural settlements. This study examines temporal data and the spatial arrangement of beehive damage incidents recorded in the Ilgaz dist...

  • Article
  • Open Access
962 Views
21 Pages

21 April 2026

The increasing reliance on smart grid communication systems has significantly raised the demand for robust cybersecurity measures to defend against advanced threats. This paper proposes a two-tier classification framework to enhance the detection and...

(This article belongs to the Special Issue Artificial Intelligence in Smart Grids)
  • Article
  • Open Access
77 Citations
9,342 Views
18 Pages

PDF Malware Detection Based on Optimizable Decision Trees

  • Qasem Abu Al-Haija,
  • Ammar Odeh and
  • Hazem Qattous

30 September 2022

Portable document format (PDF) files are one of the most universally used file types. This has incentivized hackers to develop methods to use these normally innocent PDF files to create security threats via infection vector PDF files. This is usually...

(This article belongs to the Special Issue Machine Learning Techniques for Intelligent Intrusion Detection Systems, Volume II)
  • Article
  • Open Access
3 Citations
2,844 Views
25 Pages

30 April 2024

Bark beetle outbreaks damage forests and kill trees worldwide, but many aspects of their dynamics remain unexplained. Our aim was to identify predictors for individual tree deaths within the small (0.7 km2) Plešné Lake catchment in the...

(This article belongs to the Section Natural Hazards and Risk Management)

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