B082
Spatiotemporal Dynamics of Forest Disturbance and Recovery
Session ID#: 251742
Session Description:
Forests are dynamic systems shaped by a wide range of natural and anthropogenic disturbances, including fires, storms, droughts, pests, logging, and shifting cultivation, as well as by complex recovery processes. Understanding these spatiotemporal dynamics is critical for assessing forest resilience, carbon fluxes, ecosystem services, and climate feedbacks. This session focuses on recent advances in the mapping and monitoring of forest disturbance and recovery at regional to global scales. We welcome contributions that leverage multi-source remote sensing data across optical, radar and LiDAR, alongside approaches such as time series analysis, machine learning, ecological modeling, and data fusion. We particularly encourage studies that: (1) quantify disturbance and regrowth dynamics using multi-sensor or long-term satellite records; (2) develop or apply new indicators or approaches to monitor forest cover, structure, function; (3) integrate in-situ observations, ecological theories, or socio-environmental data to understand forest changes; and (4) address challenges in monitoring forest disturbance and recovery.
Co-Sponsor(s):
Index Terms:
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
Primary Convener: Na Chen, Massachusetts Institute of Technology, Cambridge, United States
Conveners: Di Yang, University of Florida, Department of Geography, Gainesville, United States, Yaqian He, Indiana University Bloomington, Bloomington, United States and Yanlei Feng, Massachusetts Institute of Technology, Cambridge, United States
Student/Early Career Convener: Chenchen Zhang, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States
Unraveling the processes behind forest vulnerability to compound disturbances (1854124)
Jingyu Dai1, Anna B. Harper2, Thomas L Mote3, Gabriel J Kooperman1 and Maria Uriarte4, (1)University of Georgia, Department of Geography, Athens, GA, United States, (2)University of Georgia, Department of Geography, Athens, United States, (3)Univ Georgia, Athens, GA, United States, (4)Columbia University, New York, United States
Long-Term Vegetation Recovery and Land Cover Change Following Wildfires in Greece: Insights from Remote Sensing and Burn Severity Analysis (1865016)
Avery Walters, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, Kyriakos Chaleplis, Demokritus University of Thrace, Environmental Engineering, Xanthi, Greece, Alexandra Gemitzi, Democritus University of Thrace, Environmental Engineering, Xanthi, Greece and Venkataraman (Venkat) Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
Development of Ecological Restoration Technologies for the Recovery of Forest Wildlife Habitats Affected by Wildfires and Landslides (1873391)
Eunyoung Han1, Byung Jin Choi2, Ho Gul Kim3, Da Yun Kim4, Yong Seong Jeong5, Sang Jae Go4, Jongmee Chung6, MinGyun Cho7, Chan Park1, Yong Tak Shin2 and Hong-Shik Oh4, (1)University of Seoul, Department of Landscape Architecture, Seoul, South Korea, (2)Hwajeong Engineering Co., Ltd., Hwaseong, South Korea, (3)Cheongju University, Department of Landscape Architecture, Cheongju, South Korea, (4)Faculty of Science Education, Jeju National University, Jeju, South Korea, (5)Supsansa Inc., Daegu, South Korea, (6)Department of Bio & Environmental Technology, Seoul Women’s University, Seoul, South Korea, (7)University of Seoul, Institute of Urban Sciences, Seoul, Korea, Republic of (South)
From Ashes to Analysis: Evaluating Vegetation Recovery after Wildfires in the US Pacific Northwest (1892200)
Nathaniel Palaia, Ohio State University Main Campus, Columbus, OH, United States and Lorrayne Miralha, PhD, The Ohio State University, Department of Food, Agricultural and Biological Engineering, Columbus, United States
Mapping Caribbean Primary Forest Change Considering Disturbance History, Resilience, and 3D Structure (Invited) (1893052)
Zhe Zhu1, Ji Won Suh1, Falu Hong1, Kexin Song1, Shi Qiu1, Zhiqiang Yang2 and S. Blair Hedges3, (1)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States, (2)USDA Forest Service, Rocky Mountain Research Station, Riverdale, United States, (3)Temple University, Philadelphia, United States
Spatiotemporal Dynamics of the Global Fire Season from Satellite Observations over 2001-2022 (1910723)
Weihan Zhang1, Jiaying He1, Ronggao Liu1, Chao Wu2 and Yang Liu1, (1)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, (2)Tsinghua University, Beijing, China
Quantifying the history of pulse disturbances in the Everglades National Park using time series satellite imagery (1920358)
Susan Meerdink1, Hillary Cooley2, Pablo Ruiz2, S. Luke Flory3 and Drew Hiatt3, (1)University of Iowa, Geographical and Sustainability Sciences, Iowa City, IA, United States, (2)Everglades National Park, Homestead, United States, (3)University of Florida, Agronomy, Gainesville, United States
Landscape Change Monitoring System (LCMS) v2024-10: 40 Years of Data Mapping the Causes of Landscape Change Across the United States (1928351)
Elizabeth Hardwick1, Josh Heyer1, Ian Housman1, Lila Leatherman1, Kevin Megown2, Jennifer Ross2 and Brett Ruether1, (1)RedCastle Resources, Contractor to USDA Forest Service, Field Services and Innovation Center–Geospatial Office, Salt Lake City, United States, (2)USDA Forest Service, Field Services and Innovation Center–Geospatial Office, Salt Lake City, United States
Best practices for using remote sensing data and artificial intelligence for mapping southeastern forest structure and dynamics (Invited) (1932074)
Cesar Ivan Alvites Diaz1, Carlos Alberto Silva1, Kody Brock2, Inacio Bueno1, Jeffery Cannon3, Jeff Atkins4, Ajay Sharma5, Marcos Longo6, Caio Hamamura7 and Andrew T Hudak8, (1)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (2)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainsville, United States, (3)Joseph W. Jones Ecological Research Center, Newton, United States, (4)Virginia Commonwealth University, Biology, Richmond, United States, (5)Auburn University, Auburn, United States, (6)Lawrence Berkeley National Laboratory, Berkeley, United States, (7)Federal Institute of Education, Science and Technology of São Paulo, São Paulo, Brazil, (8)USDA Forest Service, Rocky Mountain Research Station, Moscow, United States
Harnessing Data Cubes to Detect Early Warning Signals of Ecosystem Transformations (1936467)
Nayani Thanuja Ilangakoon1, Tyler McIntosh1, Maxwell Cook2, Virginia Iglesias3, Cibele H Amaral4, Ty Tuff1, R. Chelsea Nagy5, Jennifer Balch5, Alison Post6, Katherine Siegel7, Casey Jenson1, Rud Platt8 and R Chelsea Nagy, (1)University of Colorado Boulder, CIRES, Earth Lab, Boulder, United States, (2)University of Colorado Boulder, Longmont, Colorado, UNITED STATES, (3)University of Colorado at Boulder, Earth Lab (CIRES), Boulder, CO, United States, (4)University of Sao Paulo, Institute of Geosciences, Sao Paulo, United States, (5)University of Colorado Boulder, CIRES, ESIIL, Boulder, United States, (6)University of Colorado Boulder, Cooperative Institute for Research in the Environmental Sciences, Boulder, United States, (7)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (8)Organization Not Listed, Washington, DC, United States
Indicator-based framework for vegetation resilience to forest fires in seasonal tropical forests of Uttarakhand, India (1945055)
Aryalakshmi M, Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, Karthikeyan Lanka, Indian Institute of Technology Bombay, Center of Studies in Resource Engineering, Mumbai, India and J. Indu, Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India
Boreal Forest Regrowth Stage Classification Using Multi-Sensor Remote Sensing and Machine Learning (1960341)
Nuerbiye Muhetaer1, Vasit Sagan1, Derek Tesser1, Felipe A. Lopes1 and Alessandro Farbo2, (1)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environmental and Geospatial Science, St. Louis, United States, (2)University of Torino, Department of Agriculture, Forestry and Food Sciences, Torino, Italy
Insects and Ice: Temperate Forest Canopy Structural Signatures of Compound Disturbance (1969927)
Jane Lively, University of Richmond, Richmond, VA, United States, Robert Timothy Fahey, University of Connecticut, Natural Resources and the Environment, Storrs, United States, Brandon Alveshere, University of Connecticut, Natural Resources and the Environment, Groton, CT, United States, Ariel Johnson, Virginia Commonwealth University, Richmond, VA, United States, Nathan Winiarski, University of Richmond, Geography, Environment, & Sustainability, Richmond, United States, Brady S Hardiman, Purdue University, Forestry and Natural Resources, West Lafayette, United States, Stephanie Anne Spera, University of Richmond, Geography, Environment, and Sustainability, Richmond, United States, Todd R Lookingbill, University of Richmond, Department of Geography, Environment, & Sustainability, Richmond, VA, United States and Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States
Did hydrological processes exacerbate the impact of Hurricane Helene in eastern Tennessee and western North Carolina? (1973862)
Jitendra Kumar1, Russell Limber2, Bin Guan3, Elias Massoud4, Joseph Spruce5, Sudershan Gangrade6, Shih-Chieh Kao7, Steven P Norman8, Forrest Hoffman4 and William Walter Hargrove9, (1)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (3)Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA, California, United States, (4)Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States, (5)Leidos, San Diego, United States, (6)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (7)Oak Ridge National Laboratory, Environmental Science Division, Oak Ridge, United States, (8)USDA Forest Service, Asheville, NC, United States, (9)USDA Forest Service, Vallejo, CA, United States
Monitoring photosynthetic responses of wildfire and bark beetle-induced tree mortality using satellite observations of solar-induced chlorophyll fluorescence (SIF) (1979205)
Lewis Kunik, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT, United States, David R Bowling, University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, Brett M Raczka, NCAR, Boulder, United States, Jeffrey A Hicke, University of Idaho, Moscow, ID, United States, Christian Frankenberg, NASA Jet Propulsion Laboratory, Pasadena, United States, Rui Cheng, Claremont McKenna College, Claremont, United States, Michele Slaton, US Forest Service, McClellan, United States and John C Lin, University of Utah, Department of Atmospheric Sciences, Salt Lake City, United States
Quantifying Post-Fire Ecosystem Recovery With Spectral Indices and Eddy-Covariance Flux Towers (1987319)
Quinn Koch1, Kayla Preisler2, Brandon Alveshere3, Lisa Haber3 and Christopher Michael Gough4, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, (3)Virginia Commonwealth University, Biology, Richmond, United States, (4)Virginia Commonwealth University, Biology, Richmond, VA, United States
Land-Use and Land-Cover Change Over Two Decades Escalates Socio-Environmental Risk Across Northeast Brazil’s Wet and Dry Forest Biomes (1987836)
Khalil Ganem1, Yongkang Xue1, Thomas W Gillespie1, Yue Li1 and Celso Silva Junior2, (1)University of California, Los Angeles (UCLA), Department of Geography, Los Angeles, United States, (2)Instituto de Pesquisa Ambiental da Amazônia - IPAM, Brasilia, Brazil
Improving forest mapping and disturbance in Africa by integrating PALSAR, Landsat, and LiDAR data at High Spatial Resolution for Global Forest Resources Assessment (1988637)
Yuan Yao1, Xiangming Xiao1 and Yuanwei Qin2, (1)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (2)Hohai University, College of Geography and Remote Sensing, Jiangsu Key Laboratory of Soil and Water Processes in Watershed, Nanjing, China
High Spatiotemporal Resolution Satellite Fusion Data Reveals Undetected Deforestation of Landsat-only Observations in Southeast Asian Tropical Regions (1989014)
Seokjin Hahn1,2, Youngryel Ryu2, Sungchan Jeong3, Juwon Kong4, Wonseok Choi5 and Ryoungseob Kwon5, (1)Seoul National University, Integrated Major in Smart City Global Convergence, Seoul, Korea, Republic of (South), (2)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, (3)Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea, (4)Yale University, Yale School of the Environment, New Haven, United States, (5)Seoul National University, Interdisciplinary Program in Landscape Architecture, Seoul, Korea, Republic of (South)
Forest Biomass in the Southwestern U.S. from MISR and GEDI: Assessment with NASA Carbon Monitoring System Data (1989798)
Mark J Chopping, Montclair State University, Department of Earth & Environmental Studies, Montclair, NJ, United States, Zhuosen Wang, University of Maryland College Park/NASA Goddard Space Flight Center, Greenbelt, MD, United States, Crystal Schaaf, University of Massachusetts Boston, School for the Environment, Boston, United States and Michael A Bull, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Decadal Soil Respiration Following Field-Simulated Insect Infestation and Ice Influence (1994351)
Sara Spence1, Ariel Johnson1, Ben P Bond-Lamberty2, Sona Sunil1, Jade Shull3, Kayla Cerise Mathes4 and Christopher Michael Gough5, (1)Virginia Commonwealth University, Richmond, VA, United States, (2)Pacific Northwest National Laboratory, College Park, United States, (3)Virginia Commonwealth University, Richmond, United States, (4)Woodwell Climate Research Center, Falmouth, United States, (5)Virginia Commonwealth University, Biology, Richmond, VA, United States
Analyzing and Accounting for Interpreter Uncertainty in Training Data to Create Higher Certainty Forest Change Maps (2002224)
McKenzie Sime, University of Montana, Missoula, MT, United States, Robert E Kennedy, Boston University, Boston, United States and Peter Clary, Oregon State University, Corvallis, OR, United States
