Updated on 2024/10/01

Information

 

写真a

 
CHICAS DANIEL SANTOS
 
Organization
Faculty of Agriculture Department of Agro-environmental Sciences Assistant Professor
School of Agriculture Department of Bioresource and Bioenvironment(Joint Appointment)
Graduate School of Bioresource and Bioenvironmental Sciences Department of Agro-environmental Sciences(Joint Appointment)
Title
Assistant Professor
Contact information
メールアドレス
Tel
928024642
Profile
1. Wildland fire modelling and key factor identification in Central America. 2. Landslide susceptibility factors and models: A systematic review. 3. Deforestation frontier dynamics in Southeast Asia 4. Climate smart agriculture to address wildfires in Belize

Degree

  • PhD

Research History

  • Kyushu University Faculty of Agriculture

    2023.3 - Present

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  • Humboldt University of Berlin Geography

    2021.1 - 2023.2

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Research Interests・Research Keywords

  • Research theme:Landuse, Deforestation, Forest Degradation, Wildfires, Natural Resource Management

    Keyword:Landuse, Deforestation, Forest Degradation, Wildfires, Natural Resource Management

    Research period: 2024

  • Research theme:Deforestation frontier dynamics in Southeast Asia

    Keyword:deforestation dynamics, policy, Southeast Asia, landuse change

    Research period: 2023.6 - 2024.6

  • Research theme:Landslide Susceptibility Factors and Models: A Systematic Review

    Keyword:landslides, susceptibility, machine learning, landslide inventories

    Research period: 2023.6

  • Research theme:Mapping the Spatial Distribution of Wildland Fire in Central America, and Key Factors Identification.

    Keyword:machine learning, wildland fires, Central America, spatial analysis

    Research period: 2023.2 - 2024.1

  • Research theme:The adoption of climate-smart agriculture to address wildfires in the Maya Golden Landscape of Belize: Smallholder farmers' perceptions

    Keyword:Climate Smart Agriculture, Forest Fires, Mayan Communities, Belize

    Research period: 2023.2 - 2024.1

Papers

  • Landslide susceptibility mapping core-base factors and models' performance variability: a systematic review

    Chicas, SD; Li, H; Mizoue, N; Ota, T; Du, Y; Somogyvári, M

    NATURAL HAZARDS   2024.5   ISSN:0921-030X eISSN:1573-0840

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    Publisher:Natural Hazards  

    Landslides cause significant economic, social, and environmental impacts worldwide. However, selecting the most suitable model and factors for landslide susceptibility mapping (LSM) remains challenging due to the diverse factors influencing landslides and the unique environmental settings in which they occur. Here, we conducted a systematic literature review from 2001 to 2021 to identify the main core-base factors and models used in LSM and highlight areas for future research. We found that there is a need for increased research collaboration with leading knowledge-producing countries and research efforts in underrepresented regions such as Africa, Central America, and South America. Of the 31 most used landslide susceptibility factors, we identified the core-base factors slope, elevation, lithology, land use/land cover, and distance from road, which were the most used, top-ranked predictors and commonly used together when mapping landslide susceptibility. Although aspect was the third most used factor, it ranked among the eight least effective predictors of LSM. Among the core-base factors of LSM, road density, elevation, and slope exhibited the least ranking variability as LSM predictors. The most used methods in LSM were random forest, logistic regression, support vector machine, and artificial neural network, with hybrid, ensemble, and deep learning methods currently trending. Random forest was the most accurate of the four most commonly used models, followed by artificial neural networks. However, artificial neural networks exhibited the least performance variability, followed by support vector machines. This comprehensive review provides valuable insights for researchers in selecting appropriate factors and models for LSM and identifies potential areas for future collaboration and research.

    DOI: 10.1007/s11069-024-06697-9

    Web of Science

    Scopus

  • Microplastic Contamination and Extraction Methods in East Asia: Implications for Marine Ecosystems and Mitigation Strategies Invited Reviewed International journal

    Eduardo Estevan Barrientos, Hiraku Tanoiri, Kiyoshi Omine, V. Sivasankar, Santos D. Chicas

    Microplastics and Pollutants   2024.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-031-54565-8_10

  • Mechanical Identification Method of Amplitude Warning False Alarm Points Based on Dynamical Time–Frequency Domain Analysis

    2024.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s00603-024-03812-x

  • Exploring the initiating mechanism, monitoring equipment and warning indicators of gully-type debris flow for disaster reduction: a review

    Du Y., Liu H., Li H., Xie M., Chicas S.D., Wu J., Lv F., Wu Y.

    Natural Hazards   2024   ISSN:0921030X

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    Publisher:Natural Hazards  

    Debris flow is a type of natural disaster characterized by sudden outbreaks, rapid movement, short duration, and extreme destructive power, posing a serious threat to human lives and property. Among debris flow events, gully-type debris flows constitute a significant proportion. Therefore, comprehending the mechanisms that trigger gully-type debris flows is of great practical importance. Based on the unique characteristics of these debris flows in various regions, choosing suitable monitoring equipment and setting up a dependable early warning system for gully-type debris flows is essential. This study overviews the initiating mechanisms, monitoring equipment, and warning indicators of gully-type debris flows. The primary source of gully-type debris flow formation is loose material sources formed by landslides and rockfalls in the middle reaches of the valley. These rich loose material sources serve as the basis for initiating debris flows, where water acts as the triggering factor. The determination of key indicators and identification criteria forms the basis for debris flow early warning. Early warning during the initiation stage of gully-type debris flows is the most time-sensitive, and the prompt recognition of debris flow initiation is the ultimate goal of early warning. Monitoring vibration characteristics offers advantages in predicting gully-type debris flows, enabling the selection of natural frequency and related parameters as key warning indicators. In the future, establishing a multi-source data monitoring and early warning system for the source area of gully-type debris flows is one of the effective ways to reduce the chain disaster of debris flow and ensure the safety of people in mountainous areas.

    DOI: 10.1007/s11069-024-06742-7

    Scopus

  • Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan

    Santos Daniel Chicas, Jair Gaspar Valladarez, Kiyoshi Omine, Venkataraman Sivasankar, Sangyeob Kim

    Scientific Reports   13 ( 1 )   2023.12

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1038/s41598-023-27936-2

  • The adoption of climate-smart agriculture to address wildfires in the Maya Golden Landscape of Belize: Smallholder farmers' perceptions

    Journal of Environmental Management   345   2023.11

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.jenvman.2023.118562

  • Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors Invited Reviewed International journal

    Miguel Valdez, Chi-Farn Chen, Santos Daniel Chicas, Nobuya Mizoue

    International Journal of Wildland Fire   2023.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1071/WF23080

  • Experimental Study on the Real-Time Stability Assessment Method for Unstable Sliding Rock

    Yan Du, Jingnan Liu, Mowen Xie, Santos Daniel Chicas, Asim Farooq, Heng Li, Lize Ning

    Rock Mechanics and Rock Engineering   56 ( 9 )   6879 - 6888   2023.9   ISSN:0723-2632 eISSN:1434-453X

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    Publishing type:Research paper (scientific journal)  

    The proposed method solves the difficulty of unstable sliding rock (USR) adjustment.The study provides a judgment criterion for the quantitative identification of USR.The improved method can provide a practical reference for engineers engaged in rapidly identifying USR.

    DOI: 10.1007/s00603-023-03419-8

    Web of Science

    Scopus

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  • Development of peat microbial fuel cells (Peat MFCs) – the green and sustainable generators of electricity

    279   2023.3

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    Language:Others   Publishing type:Research paper (scientific journal)  

    Although deemed unsuitable for construction, Peat soils have remarkable applications in MFCs by generating electric power because of the microbial decomposition of rich organic matter. The demerits such as weak skeleton, high water content, acidic nature, and humus contamination of peat soil for civil engineering applications are considered merits in microbial fuel cell applications. Peat soil-based Microbial Fuel Cells (MFCs), the first of its kind among MFCs, are explored to generate electric power as high as 6 V when six MFCs connected in a series and lighted up an LED for 288 h. The performance of peat MFCs as a function of bamboo waste, fulvic acid, iron winding and surface area of the BC anode has been discussed in this work. The synergistic effect of organic decomposition by microbes and Fe complexation with humic substances (HS) has been detailed to be responsible for the cause of electric power in Peat MFCs. ATP measurement in peat soils after defined time periods confirmed the growth of microbial population, which successfully degraded the organic matter in MFCs. The characterization of BC anode and GAC cathode using FTIR, Raman, SEM with EDS, BET isotherm studies substantiated the structural modification and porous nature of the fresh and the used electrodes. The EIS study was performed to determine the dynamics of internal resistances due to the degradation kinetics in Peat MFCs. The cost effectiveness and the sustainability of Peat MFCs towards green technology are detailed in this paper.

    DOI: 10.1016/j.enconman.2023.116771

  • A new method for determining the conditions of use of the inverse velocity method

    Yan Du, Lize Ning, Santos D. Chicas, Mowen Xie

    Environmental Earth Sciences   82 ( 6 )   2023.3

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s12665-023-10820-7

  • A new early warning Criterion for assessing landslide risk

    Yan Du, Lize Ning, Santos D. Chicas, Mowen Xie

    Natural Hazards   116 ( 1 )   537 - 549   2023.3

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s11069-022-05687-z

  • Plaster board waste (PBW) – A potential fluoride leaching source in soil/water environments and, fluoride immobilization studies using soils

    218   2023.2

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    Language:Others   Publishing type:Research paper (scientific journal)  

    Plaster board waste generated from industries, usually contains major proportion of calcium as calcium sulfate. In addition, fluoride is remarkably one among the constituents of this waste material which leaches off into the soil and aquatic environments and causes fluoride pollution. In order to simulate how the dumping of PBW causes fluoride contamination in soil and water sources, shaking and stirring based batch-mode leaching studies were conducted. These studies explored the leaching of fluoride as a function of particle size, agitation time, pH of the leaching solvent (distilled water), L/S (water: PBW) ratio, temperature and electrolytes. It was explored that 1 g of plaster board waste contains18.54 mg F per gram of PBP. High leaching of 3.72 mg F per liter was studied at pH 6.02 with Ca2+ and TDS contents of 1050 mg L−1 and1640 mg L−1 respectively. The influence of sodium electrolytes such as chloride, nitrate, hydrogen carbonate, carbonate, sulfate, borate, phosphate and acetate on the leaching of fluoride from PBW was studied. The influence of fluoride leaching by sodium phosphate recorded a high value of 12.75 mg L−1 with no detectable amount of calcium ions. The influence of eight electrolytic mixtures each containing five sodium electrolytes on fluoride leaching corroborated the highest leaching in mixtures containing phosphate followed by hydrogen carbonate/carbonate. Solutions of calcium and aluminium chloride and their mixture were used to measure the rate of leachable fluoride in solution. Furthermore, the fluoride leaching at different temperatures and acids was studied. Naturally occurring soils when blended with PBW were observed to immobilize fluoride and lessened the amount of leaching fluoride in water. Various characterization studies such as FTIR, Raman, FESEM (with EDS), XRD and XPS were carried out for PBW and its treated samples using different electrolytes. Fluoride leaching proportionate to the precipitation of carbonate and phosphate was recorded in the case of appropriate electrolyte and mixtures.

    DOI: 10.1016/j.envres.2022.115005

  • Editorial: Rock landslide risk assessment, stability analysis and monitoring for the development of early warning systems and reinforcement measures

    Mowen Xie, Yan Du, Yujing Jiang, Bo Li, Santos Daniel Chicas, Junhui Ding

    Frontiers in Earth Science   10   2022.12

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.3389/feart.2022.1118991

  • Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic review

    Santos Daniel Chicas, Jonas Østergaard Nielsen

    114 ( 3 )   2417 - 2434   2022.12

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    Language:Others   Publishing type:Research paper (scientific journal)  

    In the last decades, natural fire regimes have experienced significant alterations in terms of intensity, frequency and severity in fire prone regions of the world. Modelling forest fire susceptibility has been essential in identifying areas of high risk to minimize threats to natural resources, biodiversity and life. There have been significant improvements in forest fire susceptibility modelling over the past two decades 2001–2021. In this study, we conducted a systematic literature review of literature covering forest fire susceptibility modelling published during this period. The review provides insights on the main themes of forest fire susceptibility modelling research, the main base input factors used in models to map forest fire susceptibility, the main researchers, the areas where this type of research were implemented, technology and models used. It also highlights collaboration opportunities, and regions, such as Central America and Africa, where mapping of forest fire susceptibility is needed. We argue that such knowledge is crucial in order to identify critical factors and opportunities which can aid in improving factor selection and forest fire management.

    DOI: 10.1007/s11069-022-05495-5

  • Progress and Perspectives of Geotechnical Anchor Bolts on Slope Engineering in China

    Yan Du, Heng Li, Santos D. Chicas, Leichen Huo

    Frontiers in Environmental Science   10   2022.7

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.3389/fenvs.2022.928064

  • High fluoride in groundwater and associated non-carcinogenic risks at Tiruvannamalai region in Tamil Nadu, India

    S. D. Chicas, K. Omine, M. Prabhakaran, T. G. Sunitha, V. Sivasankar

    Ecotoxicology and Environmental Safety   233   2022.3

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.ecoenv.2022.113335

  • Modelling wildfire susceptibility in Belize’s ecosystems and protected areas using machine learning and knowledge-based methods

    Santos Daniel Chicas, Jonas Østergaard Nielsen, Miguel Conrado Valdez, Chi Farn Chen

    Geocarto International   37 ( 27 )   15823 - 15846   2022   ISSN:1010-6049

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    Publishing type:Research paper (scientific journal)  

    Wildfires are serious threats to Belize’s protected areas and ecosystems. In Belize the spatial variability of wildfire susceptibility and influencing factors at a national scale are poorly understood which hinders wildfire management interventions. Hence, in this research we conducted a joint application and performance comparison of AHP (Analytical Hierarchical Process), RF (Random Forest) and FAHP (Fuzzy Analytical Hierarchical Process). The analysis revealed that RF (AUC = 83.1%) is the model with better predictive accuracy followed by FAHP (AUC = 71.2) and AHP (AUC = 66.8). The RF, AHP and FAHP models classified 22%, 32% and 37% of the country as having high and very high wildfire susceptibility, respectively. These susceptible areas are located mainly in lowland savanna and lowland broad-leaved moist forest; especially, in areas that are unprotected, the outer boundaries of protected areas and small and isolated protected areas. The main factors that are influencing wildfire susceptibility in Belize are distance to agriculture, landcover and temperature. The comparison of these methods provides a better understanding of the implementation and performance of knowledge-based methods (AHP and FAHP) in comparison with a well-established machine learning method (RF) in a country where local data availability, accessibility and reliability are an issue. Our study also provides new wildfire susceptibility information to Belize’s wildfire managers and demonstrates the need to improve wildfire management.

    DOI: 10.1080/10106049.2022.2102231

    Scopus

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  • Management of POPs: A Caribbean Perspective

    Santos D. Chicas, Jair G. Valladarez, Abel A. Carrias, Kiyoshi Omine, V. Sivasankar

    Emerging Contaminants and Associated Treatment Technologies   2022   ISSN:2524-6402 ISBN:9783030724405, 9783030724412

  • Development of low-cost solid phase microbial fuel cell using organic waste and recycling of materials after power generation: Characterization of carbon anode

    Cui Li, Kiyoshi Omine, V. Sivasankar, Hideaki Sano, S. D. Chicas

    Biomass and Bioenergy   154   2021.11

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.biombioe.2021.106266

  • Bioelectricity generation in soil microbial fuel cells using organic waste

    Kiyoshi Omine, Venkataraman Sivasankar, Santos D. Chicas

    Microbial Fuel Cell Technology for Bioelectricity   137 - 150   2018.8

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    DOI: 10.1007/978-3-319-92904-0_7

  • Plant microbial fuel cell technology: Developments and limitations

    Santos D. Chicas, Venkataraman Sivasankar, Kiyoshi Omine, Jair Valladarez, Prabhakaran Mylsamy

    Microbial Fuel Cell Technology for Bioelectricity   49 - 65   2018.8

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    Language:Others  

    DOI: 10.1007/978-3-319-92904-0_3

  • Fungal fuel cells: Nature's perpetual energy resource

    Lavanyasri Rathinavel, Deepika Jothinathan, Santos D. Chicas, Prabhakaran Mylsamy

    Microbial Fuel Cell Technology for Bioelectricity   117 - 135   2018.8

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    Language:Others  

    DOI: 10.1007/978-3-319-92904-0_6

  • Current advances in paddy plant microbial fuel cells

    Kiyoshi Omine, Santos D. Chicas, Venkataraman Sivasankar

    Microbial Fuel Cell Technology for Bioelectricity   67 - 80   2018.8

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    Language:Others  

    DOI: 10.1007/978-3-319-92904-0_4

  • Experimental Rock Stability Assessment Using the Frozen–Thawing Test

    50 ( 4 )   1049 - 1053   2017.4

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    The experiment conducted in this study was called the frozen–thawing test (FTT). In this test, two toughened glass blocks are used, such as the lower glass represents the bedrock and the upper glass the sliding body. A shallow tank was carved on the upper surface of the lower block. Water was injected to fill this tank, and then the upper block was positioned on top of the lower block. Both blocks were placed in a freezer at -20 °C for 48 hours. After several attempts, it was found that for a constant amount of water, the upper block started to slide at almost the same point of the thawing process.

    DOI: 10.1007/s00603-016-1138-2

  • Using spatial metrics and surveys for the assessment of trans-boundary deforestation in protected areas of the Maya Mountain Massif: Belize-Guatemala border

    S. D. Chicas, K. Omine, J. B. Ford, K. Sugimura, K. Yoshida

    Journal of Environmental Management   187   320 - 329   2017.2

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.jenvman.2016.11.063

  • CLASlite algorithms and social surveys to asses and identify deforestation and forest degradation in Toledo's protected areas and forest ecosystems, Belize

    Santos D. Chicas, Kiyoshi Omine, Pio Saqui

    Applied Geography   75   144 - 155   2016.10

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.apgeog.2016.08.012

  • Identifying erosion hotspots and assessing communities' perspectives on the drivers, underlying causes and impacts of soil erosion in Toledo's Rio Grande Watershed: Belize

    Santos D. Chicas, Kiyoshi Omine, Justin B. Ford

    Applied Geography   68   57 - 67   2016.3

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.apgeog.2015.11.010

  • A botanical inventory of forest on Karstic limestone and metamorphic substrate in the Chiquibul forest, Belize, with focus on woody Taxa

    Edinburgh Journal of Botany   73 ( 1 )   39 - 81   2015.10

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    Language:Others   Publishing type:Research paper (scientific journal)  

    DOI: 10.1017/S0960428615000256

  • Forest cover change and soil erosion in Toledo's Rio Grande watershed

    S. D. Chicas, K. Omine

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives   40 ( 7W3 )   353 - 358   2015.4

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    Language:Others   Publishing type:Research paper (other academic)  

    DOI: 10.5194/isprsarchives-XL-7-W3-353-2015

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Research Projects

  • A Novel Dynamic Model-Based Approach for Unstable Rock Identification International coauthorship

    2023.7 - 2024.7

    National Natural Science Foundation of China 

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid) 

  • Modelling the spatial distribution of Soil organic carbon (SOC) and the influence of environmental factors in Central Taiwan. International coauthorship

    2023.7 - 2024.5

    National Central University, Taiwan 

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid) 

  • Landslide Susceptibility Factors and Models: A Systematic Review International coauthorship

    2023.7 - 2023.12

    Kyushu University 

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    Authorship:Principal investigator 

  • The adoption of climate-smart agriculture to address wildfires in the Maya Golden Landscape of Belize: Smallholder farmers' perceptions International coauthorship

    2023.7 - 2023.12

    Humboldt Foundation, Germany 

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    Authorship:Principal investigator 

Educational Activities

  • At the moment the only educational activities I am involved in are:

    1. Present at seminars in the Forest Management lab to bachelor, master and PhD students

    2. Advice student on the selection of topic for their research projects.

    3. Provide feedback to the students on their thesis manuscripts