B027
Forest structural diversity: metrics, methods, and links to ecosystem functions

Session ID#: 157597

Session Description:
Changes in forest structural diversity may affect many ecological functions and services. Structural diversity encompasses attributes such as stand structure, composition, and canopy complexity. Measures of structural diversity can include variation in the distribution of tree heights and sizes, leaf density and clumping, canopy cover and arrangement, and aggregate measures of heterogeneity and complexity. These measures can be derived from a variety of methods including traditional field approaches (forest inventories and surveys), proximal remote sensing (unoccupied aerial vehicles, terrestrial laser scanning), and air- and spaceborne platforms (e.g., aerial lidar, GEDI, IceSAT2).

 

In this session we seek to (1) discuss insights offered by new technologies and the different views and measures of structural diversity they supply; (2) highlight new and emerging research connecting structural diversity to a diverse array of ecological processes (e.g., productivity, microclimate regulation, land/atmosphere exchange, biogeochemical cycling, and disturbance); (3) explore the relative importance of structural diversity and biodiversity in determining ecosystem functions or services; and (4) examine how structural diversity changes in response to drivers of global change and how management actions shape structural diversity. We invite submissions about any aspect of structural diversity at any spatial scale, and which use remote sensing, modeling, field studies, or other relevant approaches.

Index Terms:

0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Primary Convener:  Erin Crockett, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States and Qinfeng Gu
Conveners:  Jingfeng Xiao, University of New Hampshire, Durham, United States, Jeff W Atkins, USDA Forest Service - Savanna River Site, New Ellenton, United States, Qinfeng Guo, USDA Forest Service - Eastern Forest Environmental Threat Assessment Center, Research Triangle Park, NC, United States and Qinfeng Gu
 
Temporal analysis of C-band InSAR decorrelation for canopy height mapping over dry forests and tropical savannas (1043988)
Narayanarao Bhogapurapu, Indian Institute of Technology Bombay, Centre of Studies in Resources Engineering, Mumbai, India, Paul Siqueira, University of Massachusetts, Amherst, Amherst, United States, John David Armston, University of Maryland, Department of Geographical Sciences, College Park, United States, Xiaoxuan Li, George Mason University Fairfax, Geography and Geoinformation Science, Fairfax, VA, United States, Konrad Wessels, George Mason University, Geography and GeoInformation Science, Fairfax, United States and Laura Duncanson, University of Maryland, College Park, United States
 
Understanding Effects of Structural Diversity on Forest Productivity Under Drought (1175217)
Samantha Murray, Nevada, TX, UNITED STATES and Lu Zhai, Oklahoma State University Main Campus, Stillwater, United States
 
Leveraging forest structure as lens to assess forest carbon storage under global change (1180805)
Kailiang Yu1, Amilcare M Porporato2 and Matteo Detto1, (1)Princeton University, Princeton, United States, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States
 
Estimating Forest Above Ground Biomass from Inventory Plots and Airborne Lidar: Addressing Plot Size and Uncertainty Quantification (1181779)
KC Cushman1, Dr. Sassan Saatchi1, Christopher Mulverhill2, Bruce D Chapman3, Kristina J Anderson-Teixeira4, Sean McMahon5, William J McShea6 and Ronald E McRoberts7, (1)NASA Jet Propulsion Laboratory, Pasadena, United States, (2)University of British Columbia, Department of Forest Resources, Vancouver, Canada, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Smithsonian Institution, Smithsonian Conservation Biology Institute & Smithsonian Tropical Research Institute, Front Royal, VA, United States, (5)Smithsonian Environmental Research Center, Edgewater, United States, (6)Smithsonian Conservation Biology Institute, Front Royal, VA, United States, (7)USDA Forest Service, St. Paul, MN, United States
 
Using GEDI spaceborne lidar to model cross-biome forest biodiversity: effects of scale, sampling density, and spatial structure (Invited) (1185362)
Christopher R Hakkenberg, Northern Arizona University, Flagstaff, AZ, United States
 
Exploring Novel Dendrometers: An IoT Application for Simultaneous and in situ Monitoring of Tree Stem Growth Increment. (1186487)
Jim Yates, Tuscia University, DIBAF, Viterbo, Italy, Luca Belelli Marchesini, Fondazione Edmund Mach and Innovation Center, San Michele all'Adige, Italy, Riccardo Valentini, Euro-Mediterranean Center on Climate Change, Viterbo, Italy and Francesco Renzi, Tuscia University, Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), Viterbo, Italy
 
Utilizing Semivariance to Understand Forest Structure and Biomass in Boreal and Tropical Forests (1188333)
Brittani Chapman, University of New Hampshire Main Campus, Earth System Research Center, Durham, NH, United States, Michael W Palace, University of New Hampshire, Dept. of Earth Sciences and Earth Systems Research Center, Durham, United States and Franklin Sullivan, University of New Hampshire, Earth Systems Research Center, Durham, United States
 
Estimating Forest Growth Change according to Forest Management Scenarios in Response to the New Climate Change Regime in South Korea (1190451)
Mina Hong1, Moonil Kim2, Minjeong Heo1, Youngjin KO1 and Woo-Kyun Lee3, (1)Korea University, Seoul, Korea, Republic of (South), (2)Pyeongtaek University, ICT-Integrated Environment, Pyeongtaek, South Korea, (3)Korea University, Department of Environmental Science and Ecological Engineering, Seoul, South Korea
 
Validation of forest functional traits derived from ICESat-2 vertical foliage profiles (1192552)
Amy L Neuenschwander, University of Texas at Austin, Austin, TX, United States, Eric Guenther, University of Texas at Austin, Applied Research Laboratories, Austin, TX, United States, Laura Duncanson, University of Maryland, College Park, United States and Steven Hancock, University of Edinburgh, School of Geosciences, Edinburgh, United Kingdom
 
A spatially continuous look at topographic, edaphic, geologic, and snow controls on conifer stand structure (1192813)
Marshall Worsham1, Haruko M Wainwright2,3, Nicola Falco4, Thomas Powell2 and Lara M Kueppers5, (1)University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)Massachusetts Institute of Technology, Cambridge, United States, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (5)University of California Berkeley, Energy and Resources Group, Berkeley, United States
 
Structural diversity is the main driver of aboveground carbon storage in dryland agroforestry parklands in Benin (1193420)
Florent Noulekoun1, Hyungsub Kim2, Sylvanus Mensah3, Heejae Jo1, Jesse Naab4, Yowhan Son1 and Asia Khamzina1, (1)Korea University, Department of Environmental Science and Ecological Engineering, Seoul, South Korea, (2)Korea University, Institute of Life Science and Natural Resources Research, Seoul, South Korea, (3)University of Abomey-Calavi, Laboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Abomey-Calavi, Benin, (4)WASCAL (West African Science Service Center on Climate Change and Adapted Land Use) Competence Center, Ouagadougou, Burkina Faso
 
Scattering properties of ecosystem structure and composition: Using terrestrial lidar for parameterization in radar scattering models of forests (1194617)
Nick Steiner, City University of New York - City College, Earth and Atmospheric Sciences, New York, United States, Kyle C McDonald, City University of New York - City College, Earth and Atmospheric Sciences, New York, NY, United States and Erika Podest, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
An analysis of trends in forest changes in Korea using National Forest Inventory Data (1137407)
Juhan Park1, Daun Ryu2, Il-Bin Jung3 and Hyun Kook Jo3, (1)National Center for AgroMeteorology, Seoul, South Korea, (2)Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea, (3)Korea Forest Promotion Institute, Seoul, South Korea
 
Analyzing the Relationship of Forest Structural Diversity to Biotic Resistance to Invasion using NEON Data (1056501)
R Chelsea Nagy1, Cibele Amaral2, Jennifer Balch3, Nayani Thanuja Ilangakoon1, Mukund Kalantri4, Elizabeth A LaRue5, Adam Mahood1,6, Joseph McGlinchy7, Victoria Scholl1 and E. Natasha Stavros2, (1)University of Colorado Boulder, CIRES Earth Lab, Boulder, United States, (2)University of Colorado Boulder, ESIIL, Boulder, United States, (3)University of Colorado Boulder, CIRES, ESIIL, Boulder, United States, (4)University of Colorado Boulder, Boulder, United States, (5)University of Texas El Paso, Biological Sciences, El Paso, United States, (6)Water Resources, USDA-ARS, Fort Collins, United States, (7)Hydrosat, Denver, United States
 
Anthropogenic and Physical Determinants of Ecosystem Structure from GEDI Lidar (1118479)
Dafeng Zhang, Brown University, Providence, United States and James R Kellner, Brown University, Providence, RI, United States
 
Current Predictions of Ecosystem Dynamics in California Sierras using GEDI-Constrained Terrestrial Biosphere Model Simulations (1111919)
Liling Chang, Harvard University, Cambridge, United States, Shaoqing Liu, Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, United States, Alexander S Antonarakis, University of Sussex, Brighton, BN1, United Kingdom, Marcos Longo, Lawrence Berkeley National Laboratory, Berkeley, United States, Hao Tang, National University of Singapore, Geography, Singapore, Singapore, John David Armston, University of Maryland, Department of Geographical Sciences, College Park, United States and Paul R Moorcroft, Harvard Univ, Cambridge, MA, United States
 
Development of a Method for Estimating Tree Density in Planted Forests in Japan Using Low Irradiation Density Airborne LiDAR and Satellite Remote Sensing (1099228)
Asahi Hashimoto1, Shodai Inokoshi2, Chen-Wei Chiu2, Yuichi Onda1, Yupan Zhang1 and Takashi Gomi3, (1)University of Tsukuba, Tsukuba, Japan, (2)Tokyo University of Agriculture and Technology, International Innovative Agricultural Science, Tokyo, Japan, (3)Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Tokyo, Japan
 
Distinguishing effects of major disturbance agents on oak abundance in the eastern United States (1153292)
Shengwu Duan, University of Missouri-Columbia, School of Natural Resources, Columbia, MO, United States and Hong S. He, University of Missouri, School of Natural Resources, Columbia, MO, United States
 
Fire Refugia Distribution and Forest Regeneration in Western Canada (1127999)
Tony Zhang1, Nicholas C Coops2 and Naomi Schwartz1, (1)University of British Columbia, Department of Geography, Vancouver, BC, Canada, (2)University of British Columbia, Department of Forest Resources Management, Vancouver, BC, Canada
 
Forest Patch History, Species Composition, and Structure and their Relationship to Inequitable Access to Biodiversity and Ecosystem Services (1111547)
Lindsay Darling1, Brady S Hardiman1 and Christine Rollinson2, (1)Purdue University, West Lafayette, IN, United States, (2)The Morton Arboretum, Center for Tree Science, Lisle, United States
 
Forest Structural Heterogeneity Emerges at Multiple Scales in Restored Frequent-Fire Landscapes of the Sierra Nevada (1062683)
Caden Chamberlain and Van R Kane, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, United States
 
Forest Structure and Progressive Nitrogen Limitation in Duke and Oak Ridge FACE Experiments Simulated with ELM-FATES-CNP (1121833)
Anthony P Walker1, Ryan Knox2, Charles Koven3, Elizabeth Agee1, Rosie Fisher4, Ram Oren5, Richard J. Norby6, Daniel M Ricciuto7, Xinyuan Wei8 and Xiaojuan Yang9, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)University of California Berkeley, Energy and Resources Group, Berkeley, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)Duke University, Nicholas School of the Environment, Durham, United States, (6)Oak Ridge National Lab, Oak Ridge, TN, United States, (7)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, (8)University of Maine, School of Forest Resources, Orono, ME, United States, (9)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, United States
 
Glitched abstract submission (1094703)
Tony Zhang1, Naomi Schwartz1 and Nicholas C Coops2, (1)University of British Columbia, Department of Geography, Vancouver, BC, Canada, (2)University of British Columbia, Department of Forest Resources Management, Vancouver, BC, Canada
 
Leveraging Sentinel-2 Multi-Spectral Images and GEDI Observations to Estimate Above Ground Biomass in Costa Rica (1121898)
Russell Limber, Oak Ridge Climate Change Science Institute, Knoxville, Tennessee (TN), UNITED STATES, Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Forrest M. Hoffman, Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States
 
Machine learning Based Forest Canopy Height Mapping Using Combined LiDAR, SAR and Optical Data (1107227)
Rajit Gupta and Laxmi Kant Sharma, Central University of Rajasthan, Environmental Science, Kishangarh, India
 
Management Legacies Interactions with Forest Structure Influence Forest Biomass Responses to Climatic Increases in Atmospheric Water Vapor Demand (1120608)
Lucien Fitzpatrick1, Christine Rollinson1, Ankur R Desai2, Bailey Murphy2, Kurt Dreisilker3 and Meghan Midgley4, (1)The Morton Arboretum, Center for Tree Science, Lisle, United States, (2)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, (3)The Morton Arboretum, Lisle, United States, (4)The Morton Arboretum, Center for Tree Science, Lisle, IL, United States
 
Modeling dynamics of stand density by linking ingrowth and mortality with stand structural and environmental factors (1136737)
Hyungsub Kim, Korea University, Institute of Life Science and Natural Resources Research, Seoul, South Korea, Hyungwoo Lim, Swedish University of Agricultural Sciences, Department of Forest Ecology and Management, Umeå, Sweden, Moonil Kim, Pyeongtaek University, Pyeongtaek, South Korea, Nam Jin Noh, Kangwon National University, Department of Forest Resources, Chuncheon, South Korea and Yowhan Son, Korea University, Department of Environmental Science and Ecological Engineering, Seoul, South Korea
 
Response of Forest Canopy Structure to Moderate Disturbances: Multi-temporal Approaches Using NEON’s Longitudinal Airborne LiDAR (1073292)
Dennis Heejoon Choi1, Elizabeth LaRue2, Jeff W Atkins3, Jane R Foster4, Jaclyn Hatala Matthes5, Robert Timothy Fahey6, Bina Thapa7, Songlin Fei7 and Brady S Hardiman8, (1)Purdue University, Forestry and Natural Resources, West Lafayette, IN, United States, (2)University of Texas El Paso, Biological Sciences, El Paso, United States, (3)USDA Forest Service - Savanna River Site, New Ellenton, United States, (4)University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, United States, (5)Harvard University, Harvard Forest, Petersham, United States, (6)University of Connecticut, Natural Resources and the Environment, Storrs, CT, United States, (7)Purdue University, Forestry and Natural Resources, West Lafayette, United States, (8)Purdue University, Forestry & Natural Resources and Division of Environmental & Ecological Engineering, West Lafayette, United States
 
Seeing forest processes from the overstory trees: strengths and weaknesses of forest remote sensing (1093366)
Liz Van Wagtendonk1, Malcolm North2, Sean Jeronimo1 and Van R Kane3, (1)University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, WA, United States, (2)USDA Forest Service, Davis, CA, United States, (3)University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, United States
 
The Effect of Stand Structural Diversity on Carbon Storage and Forest Productivity: A Meta-analysis Study (1139569)
Bradley Nixon, Stillwater, OK, UNITED STATES and Lu Zhai, University of Miami, Miami, FL, United States
 
The multiple dimensions of diversity: Advancing the science and application of structural diversity-ecosystem function interactions (Invited) (1056958)
Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States, Jeff W Atkins, USDA Forest Service - Savanna River Site, New Ellenton, United States, Robert Timothy Fahey, University of Connecticut, Natural Resources and the Environment, Storrs, CT, United States, Brady S Hardiman, Purdue University, West Lafayette, IN, United States, Ben P Bond-Lamberty, Pacific Northwest National Laboratory, Richland, WA, United States, Elizabeth LaRue, University of Texas El Paso, El Paso, United States, Keith Krause, Battelle, Boulder, United States, Jan A van Aardt, Rochester Institute of Technology, Imaging Science, Rochester, NY, United States and Laserquest
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