Matt Dannenberg is an Associate Professor at the University of Iowa, specializing in global change ecology, climate-ecosystem interactions, and terrestrial carbon/water cycle dynamics. His research integrates remote sensing, dendrochronology, and empirical modeling to understand ecological responses to climate variability across regional to global scales. Geographic focus on western U.S. drylands and southeastern U.S. forests Methods include satellite remote sensing, tree-ring analysis, and neural network modeling Key climate drivers: El Niño-Southern Oscillation (ENSO), vapor pressure deficit (VPD), precipitation patterns His work examines: Climate forecasting of ecological processes Land cover change impacts on carbon exchange Drought resilience in forest ecosystems Atmospheric teleconnection effects on phenology He leads the Ecoclimatology of Carbon and Water (ECH 2 O) lab, developing tools for monitoring ecosystem responses to environmental change through land-atmosphere flux modeling and multi-sensor remote sensing.
Lutz Fehrmann is a researcher and academic specializing in forest inventory and remote sensing. Since 2011, he has served as Managing Director of ForestEye Research GmbH & Co.KG while maintaining academic ties through research and teaching. From 2008, he worked as a Postdoc at the Department of Forest Inventory and Remote Sensing at the University of Göttingen, coordinating multiple research projects including EU Pathfinder, DFG projects on biomass estimation, and international collaborations in Indonesia, China, and Africa. Dr. Fehrmann completed his dissertation in 2007 at the Faculty of Forest Ecology at Georg-August-Universität Göttingen titled Alternative Methoden zur Biomasseschätzung auf Einzelbaumebene unter spezieller Berücksichtigung der k-Nearest Neighbour (k-NN) Methode . His academic foundation includes extensive work in forest biometry, inventory systems, and biomass estimation methodologies. Dr. Fehrmann's research focuses on advancing forest inventory through innovative methodologies. His work centers on terrestrial laser scanning applications for forest structure analysis, development of biomass estimation models, and creation of monitoring frameworks for environmental protection. He has pioneered work in using discrete global sampling grids for land cover monitoring and has contributed significantly to understanding tree architecture and biomass distribution through advanced scanning technologies. His research bridges traditional forest inventory with cutting-edge remote sensing techniques to improve carbon accounting and sustainable forest management. An analysis of Dr. Fehrmann's recent publications reveals a strong emphasis on applying advanced technologies to forest inventory challenges. His work increasingly integrates terrestrial laser scanning with traditional inventory methods to create more accurate biomass estimation models. There's a clear progression from basic biomass modeling to sophisticated 3D forest structure analysis, with growing attention to carbon sequestration and climate change mitigation. His research spans multiple continents, demonstrating both methodological innovation and practical application in diverse forest ecosystems worldwide. Dr. Fehrmann has supervised graduate students through PhD colloquia and master's level research projects focused on forest inventory and growth. His grant portfolio includes significant funding from the German Research Foundation (DFG), European Union, FAO, and KfW, supporting projects across Indonesia, China, Africa, and Europe. These grants have enabled the development of integrated forest carbon monitoring systems, biodiversity exploratories, and international capacity building in forest inventory methodologies. Through ForestEye Research GmbH & Co.KG, Dr. Fehrmann leads a team focused on applying advanced technologies to forest monitoring challenges. His work with the AWF-Wiki demonstrates commitment to knowledge sharing in forest inventory methods. The integration of business intelligence tools with traditional forest inventory represents an innovative approach to making inventory data more accessible and actionable for forest management decisions.
Dr. Steven G. Cumming is a Professor in the Department of Wood and Forest Sciences at Laval University's Faculty of Forestry and Geomatics. He holds a Ph.D. in Forest Ecology from the University of British Columbia (1997), complemented by advanced degrees in Computer Science from Simon Fraser University (M.Sc., 1986) and the University of Alberta (B.Sc., 1981). He served as the Holder of the Canada Research Chair in Boreal Ecosystem Modelling from 2006 to 2016, reflecting his national prominence in this field. Dr. Cumming's research spans spatial analysis and modeling of ecological processes, with particular expertise in forest stand dynamics and fire disturbances in boreal forests. His work bridges theoretical ecological modeling and practical applications for conservation and forest management. He has made significant contributions to the Boreal Avian Modeling Project, developing statistical models to predict bird distribution and abundance across the boreal region. His recent work focuses on climate change impacts, developing dynamic models for Quebec's boreal forest and methodological tools for modeling nearly 100 bird species. His publication record demonstrates consistent productivity through 2025, with multiple high-impact papers annually addressing critical issues in boreal ecology, climate change, and conservation. Dr. Cumming actively supervises both doctoral and master's students, maintaining a robust research program with numerous ongoing projects. Major Research Projects: Canadian Forest Resource Inventory Data The Canadian Beacons Project The Boreal Avian Modeling Project Vegetation plot data for modeling, mapping and forecasting understory vegetation Dr. Cumming's work shows a clear progression from foundational ecological research to leadership in large-scale modeling initiatives addressing urgent environmental challenges. His unique background in both computer science and forest ecology has positioned him as a leader in developing innovative modeling approaches for complex ecological systems.
Dr. Elise Filotas is a faculty member in the Department of Science and Technology at TÉLUQ, University of Quebec, where she conducts research on ecological complexity and modeling. As a Regular member of the Centre d'études de la forêt (CEF), she contributes to interdisciplinary research on forest ecosystems, bringing together perspectives from geography, physics, and complex systems science. Dr. Filotas earned her Ph.D. in Geography from the University of Montreal in 2009, following an M.Sc. in Physics from McGill University (2002) and a B.Sc. in Mathematics-Physics from the University of Montreal (2000). Her diverse educational background has shaped her interdisciplinary approach to ecological research. Her research focuses on two main themes: the dynamics of ecological communities in forest landscapes, examining how inter- and intraspecific interactions and dispersal ability influence population dynamics across scales; and the interplay between forest management and forest function, investigating how ecological processes and management practices affect ecosystem dynamics. She develops quantitative, theoretical, and applied modeling tools to address these questions. Analysis of Dr. Filotas' publication record reveals a strong emphasis on ecological modeling, forest management, and the application of complex systems theory to forest ecosystems. Her work frequently examines climate change impacts, forest resilience, biodiversity conservation, and sustainable management practices. She often collaborates with researchers across multiple institutions, reflecting the interdisciplinary nature of her work. Dr. Filotas has supervised multiple graduate students, including McNie, P. (2024 PhD), Gagne, C. (2023 PhD), Laginha Pinto Correia, D. (2018 PhD), and Carpentier, S. (2015 Master's). Her supervision record demonstrates her commitment to training future researchers in ecological modeling and forest management. While specific grant details aren't provided in the available information, Dr. Filotas' consistent publication record since 2008, with recent publications in 2025, indicates active research funding. Her work appears to involve collaborations with researchers across multiple institutions, which typically requires successful grant applications.
Liisa Kulmala is a Docent in Ecosystem processes at the Faculty of Agriculture and Forestry, University of Helsinki, where she serves as Supervisor in the Doctoral Programme in Interdisciplinary Environmental Sciences and a visiting researcher in the Department of Forest Sciences. Her primary position is as Senior Researcher and head of the Carbon Cycle group at the Finnish Meteorological Institute, a role she has held since March 2018. Dr. Kulmala's research focuses on carbon cycling across multiple ecosystems, with particular emphasis on forests, urban environments, and agricultural landscapes. Her work examines the impact of ecosystems on climate, plant ecophysiology, and soil carbon dynamics. She is driven by the goal of identifying land use solutions that enhance carbon sequestration while maintaining other critical ecosystem services like biodiversity and human well-being. Her interdisciplinary approach bridges environmental science, climate research, and practical applications for sustainable land management. Analysis of Dr. Kulmala's recent publications reveals a strong focus on urban carbon dynamics, with significant attention to how green infrastructure contributes to carbon neutrality. Her work increasingly integrates climate policy considerations, particularly examining how EU environmental regulations affect carbon sequestration potential. Methodologically, she employs advanced techniques like eddy covariance measurements and innovative gap-filling approaches using machine learning to improve carbon flux estimates. Dr. Kulmala has supervised multiple graduate students, including work on 'Belowground carbon dynamics in Scots pine stands' (2022) and Sini Salko's research on soil respiration in drought conditions (2019-2020). She has led or participated in numerous research projects, including 'Uncovering the belowground sink' (2018-2020) as project leader, 'Quantification and drivers for belowground carbon input in boreal forest' (2021-2023), and the multi-institutional ClimEco project (2018-2020). Her work has been supported by organizations including the Kone Foundation and through state research funding. As head of the Carbon Cycle group at the Finnish Meteorological Institute, Dr. Kulmala leads a team focused on understanding carbon dynamics across different ecosystems. Her group's work integrates field measurements with modeling approaches to provide robust estimates of carbon fluxes and stocks. The team collaborates extensively with researchers across Finland and internationally, contributing to both fundamental understanding of carbon cycling processes and practical applications for climate change mitigation.
Aline Lopes is a Professor in the Postgraduate Program in Clean Technologies at Centro Universitário Cesumar in Maringá, Brazil. She has established herself as a prominent researcher in Amazonian ecology, with a strong focus on aquatic plants and floodplain ecosystems across the Brazilian Amazon region. Dr. Lopes completed her doctoral studies in Ecology at the National Institute of Amazonian Research (INPA) in Manaus, Brazil, followed by a postdoctoral fellowship at the University of Brasília. Her educational background has provided a strong foundation for her extensive research in tropical ecology and plant science. Her primary research interests include Amazonian floodplain ecology, aquatic macrophytes, seed germination processes, plant adaptations to flooding, and the impacts of climate change on tropical plant communities. Dr. Lopes has made significant contributions to understanding how Amazonian plant species respond to environmental stressors including flooding regimes, nutrient availability, and climate change. Her work bridges fundamental ecological principles with practical applications for conservation and sustainable management of Amazonian ecosystems, with particular emphasis on invasive species dynamics in Neotropical ecosystems. Analysis of her recent publications (2019-2025) reveals a strong research trajectory focused on critical ecological issues in the Amazon basin. Her work spans from fundamental studies on seed germination and plant physiology to applied research on invasive species management and climate change impacts. The publications consistently demonstrate interdisciplinary approaches combining field ecology, experimental biology, and modeling techniques to address complex ecological questions in Amazonian floodplain ecosystems. Dr. Lopes has served as an active peer reviewer for numerous prestigious journals including Acta Amazonica (6 reviews), Acta Botanica Brasilica (11 reviews), and Hydrobiologia (7 reviews), demonstrating her recognized expertise in her field. Her review activities across more than 20 different journals highlight her standing as a respected contributor to the scientific community. Throughout her career, Dr. Lopes has collaborated extensively with researchers across Brazilian institutions and international partners, contributing to large-scale ecological studies in the Amazon basin. Her work often involves challenging field studies in floodplain environments combined with sophisticated laboratory experiments and modeling approaches to understand ecosystem dynamics under changing environmental conditions.
Annick St Denis is a Researcher at the University of Quebec in Montreal (UQAM), Faculty of Science, Department of Biological Sciences. She works as a Research Professional in Christian Messier's laboratory and coordinates research work for the ArbrenVil Chair. Her academic journey includes a Postdoctorate in Natural Sciences from the University of Quebec in Outaouais (2022), a Doctorate in Biology from UQAM (2016), a Master's degree in Biology from UQAM (2008), and a Baccalauréat in Environmental Geography from the University of Montreal (2003). Her research interests focus on urban forestry, forest ecology, and ecological restoration. She specializes in urban forest resilience, tree-soil interactions, and climate change adaptation strategies. Her work particularly emphasizes functional diversity in urban forests, precision restoration techniques for abandoned lands, and the development of decision-making tools like SylvCiT to improve urban forest planning. She has conducted extensive research on biotic interactions in forest restoration, including tree-herbaceous, tree-rodent, and tree-soil microorganism relationships. Her recent publications demonstrate a strong trend toward urban forestry applications, with increasing focus on AI-based decision support systems, climate change adaptation, and equitable urban greening strategies. The research spans from fundamental ecological questions about forest restoration to practical applications for municipal forest management, reflecting her ability to bridge theoretical and applied research. Prix René-Pomerleau, Mérite arboricole de la Société internationale d'arboriculture du Québec (SIAQ), 2024 Bourse Mitacs Accélération (en collaboration avec Habitat), 2021 Bourse UFor (CREATE), 2021 Bourse Robert Moreau, Fondation de l'UQAM, 2015 Lauréate du Concours de vulgarisation de la recherche de l'ACFAS, 2007 Dr. St Denis has supervised multiple Master's students in computer science working on the SylvCiT project and has been involved in numerous research grants including Mitacs Acceleration, UFor CREATE, and BMP Innovation. Her current research projects include coordinating the experimental planting of 360 urban trees in Saint-Bruno-de-Montarville and developing SylvCiT, an AI-based decision-making tool to increase functional diversity in urban forests. She has also worked on municipal urban forestry master plans for cities like Rosemère and Montréal, demonstrating strong connections between academic research and practical urban forest management.
Ditlev Otto Juel Reventlow is an Assistant Professor at the University of Copenhagen's Department of Geosciences and Natural Resource Management. His research focuses on converting monoculture plantations to near-natural forests, emphasizing biodiversity, timber production, and carbon sequestration. He leads the EU LIFE project 'Forests fit for future' and teaches the MSc course 'Silviculture of Temperate Forest'. His education includes a PhD in forest management from the University of Copenhagen, specializing in Environmental Engineering and Forest/Nature Management. Research interests center on: Forest conversion techniques Ecosystem service monitoring (biodiversity, carbon storage) Development of planning tools for sustainable forestry Climate-resilient silviculture practices Recent publications (2020-2023) analyze species mixing effects, drought resilience, and economic models for forest conversion across European climates. Trends show strong emphasis on conifer adaptation, productivity stability, and silvicultural innovation. He contributes to policy frameworks through research cited in European forestry guidelines and maintains collaborative networks across 15+ countries.
Damien Marage is a University Professor specializing in Ecology and Geography at the University of Franche-Comté, affiliated with the ThéMA Laboratory (UMR 6049 CNRS), the Forest-Wood Resources Study Laboratory (LERFoB), and the Social Dynamics and Space Recomposition Laboratory (LADYSS). His research focuses on socio-ecological systems, particularly the management of living things in territories through analysis of landscape and environmental qualities from urban environments to primary forests. Marage's research interests center on the geography of relationality, environmental humanities, landscape studies, and modeling of socio-ecological systems. He employs both empirical approaches (Big Data, field experiments, surveys, serious games) and theoretical frameworks (socio-ecological analysis) to examine social, ecological, and economic interactions in territorial dynamics. His work spans diverse geographical contexts including France, Central Europe, the Mediterranean region, and South America. His recent publications reveal a strong focus on forest management controversies, particularly around clearcutting practices throughout historical periods, as well as innovative approaches to territorial governance and the development of relational geography. His research demonstrates consistent engagement with Natura 2000 conservation sites, forest biodiversity, and the complex relationships between human societies and forest ecosystems. Marage actively supervises doctoral research, notably directing Sindy Baron-Blanco's thesis on forest governance. He leads several significant research projects including Silva Numerica (2022-2024), MORVAN (2022-2025), ATABLE (2021-2023), and the SOLUTRE serious game project (2017-2022, extended to 2025). His work bridges multiple disciplines, creating connections between ecological dynamics, stakeholder strategies, and public policies. He contributes to the academic community as a reviewer for numerous prestigious journals including Ecological Modelling, Forest Ecology and Management, and Journal of Applied Ecology, demonstrating his standing within the environmental research community.
