B124
Understanding Phenological Responses and Feedbacks in Terrestrial Vegetation: Patterns, Mechanisms, and Consequences
Session ID#: 74797
Session Description:
Phenology is an integrative and sensitive indicator of ecosystem health and function that responds to climate, water and nutrient availability, disturbance, and environmental change. Understanding phenological responses to environmental change across spatial and temporal scales is critical for forecasting shifts in species activity and associated changes in biogeochemical cycling, landscape dynamics, and ecological processes. This session features recent advances in characterizing the spatio-temporal patterns in vegetation phenology using a variety of methods (e.g., satellite, drones, webcams, in situ measurements, crowdsourcing); determining underlying mechanistic processes; developing accurate model representations of vegetation phenology; and investigating phenological implications to key land surface processes and society. The session will also feature efforts that leverage data and tools offered by the USA National Phenology Network. Combined, these efforts, data, and findings are advancing research, supporting decision making, and engaging scientists, educators, resource managers, policy-makers, and the public in this emerging field.
Index Terms:
0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
Primary Convener: Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States
Conveners: Xiangtao Xu, Harvard University, Organismic and Evolutionary Biology, Cambridge, MA, United States, Theresa M Crimmins, USA National Phenology Network, Tucson, AZ, United States and William Walter Hargrove, USDA Forest Service, Vallejo, CA, United States
Primary Liaison: Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States
PhenoSynth: Cross-Scale Phenological Data Integration to Improve PhenoCam-MODIS Comparisons (Invited) (489040)
Katharyn Aurora Duffy, Northern Arizona Univ, Flagstaff, AZ, United States, Andrew D Richardson, Northern Arizona University, Flagstaff, AZ, United States, Jeffrey T Morisette, National Invasive Species Council, Fort Collins, CO, United States and Kyle D Enns, Fort Collins Science Center, Fort Collins, CO, United States
Explaining the timing of maximum GPP using circular statistics (489986)
Daniel Ernesto Pabon Moreno1,2, Talie Musavi1, Mirco Migliavacca1, Christine Römermann2, Markus Reichstein3 and Miguel D Mahecha3, (1)Max-Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (2)Friedrich Schiller University of Jena, Jena, Germany, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany
Is Plant Phenology Keeping Pace with the Climate? (495521)
Yiluan Song1, Christopher James Zajic1, Taehee Hwang2 and Kai Zhu1, (1)University of California Santa Cruz, Department of Environmental Studies, Santa Cruz, CA, United States, (2)Indiana University Bloomington, Department of Geography, Bloomington, IN, United States
Identifying relationships between vegetative indices and gross primary productivity (GPP) in rice agriculture sites (504513)
Bryant Fong1, Michele L Reba2, Colby Reavis3, Benjamin Runkle3, Kosana Suvocarev3, Arlene Adviento-Borbe4 and Joseph H Massey2, (1)USDA Jonesboro, Jonesboro, AR, United States, (2)USDA, State University, AR, United States, (3)University of Arkansas, Fayetteville, AR, United States, (4)USDA-ARS, Jonesboro, United States
Chilling dominates forcing and photoperiod cues to determine tree budburst in experiments, complicating forecasts for natural systems (508439)
Elizabeth M Wolkovich1, Ailene Ettinger2, Ignacio Morales-Castilla3, Catherine Chamberlain4 and Daniel Buonaiuto4, (1)University of British Columbia, Vancouver, BC, Canada, (2)Harvard University, Cambridge, MA, United States, (3)University of Alcala, Department of Life Sciences, Alcala, Spain, (4)Harvard University, Cambridge, United States
Detecting shifts in pasture ecosystem health and function under extreme climate conditions using canopy greenness (529491)
Amber C Churchill1, Craig VM Barton2, Kathryn Fuller2, Karen M. Catunda2, Sally Power1 and Pastures and Climate Extremes Team, (1)Western Sydney University, Hawkesbury Institute for the Environment, Richmond, NSW, Australia, (2)Western Sydney University, Hawkesbury Institute for the Environment, Richmond, Australia
A comparison of spring phenology estimated by multi datasets for snow-covered forests (542192)
Chang Qing1, Xiangming Xiao2, Wenzhe Jiao3, Xiaocui Wu4, Russell Doughty5, Jie Wang6, Zhenhua Zou5 and Yuanwei Qin1,7, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States, (3)Indiana University Purdue University Indianapolis, Department of Earth Sciences, Indianapolis, IN, United States, (4)University of Oklahoma, Department of Microbiology and Plant Biology, Norman, OK, United States, (5)University of Oklahoma, Department of Microbiology and Plant Biology, Center for Spatial Analysis, Norman, OK, United States, (6)University of Oklahoma Norman Campus, Department of Microbiology and Plant Biology, Center for Spatial Analysis, Norman, OK, United States, (7)University of Oklahoma, Norman, OK, United States
Climate impacts on important food-producing shrubs: predicting change and disseminating results (545180)
Janet Prevey1, Constance Harrington1,2, Lauren Parker3 and Leslie Brodie4, (1)US Forest Service Pacific Northwest Research Station, Olympia, WA, United States, (2)Corvallis, OR, United States, (3)University of California Davis, Davis, CA, United States, (4)USDA Forest Service Pacific Northwest Research Station, Olympia, WA, United States
Unraveling Ecosystem Carbon Uptake into its Component Plant Species Contributions using Phenology (561829)
Blake Steiner1, David JP Moore1, Russell L Scott2 and Jia Hu1, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States
Mapping ‘green wave’ velocity across North America – spatiotemporal patterns of spring vegetation phenology derived from MODIS MCD12Q2 (568197)
Donal O'Leary III, University of Maryland College Park, College Park, MD, United States, George C Hurtt, University of Maryland, Department of Geographical Sciences, College Park, MD, United States, David W Inouye, Ralph Dubayah, Univ Maryland, College Park, MD, United States and Chengquan Huang, University of Maryland College Park, Geographical Sciences, College Park, MD, United States
Novel integration of multi-scale remote sensing improves characterization of tropical phenology from individual tree-crowns to landscapes (575554)
Jin Wu1, Jing Wang1, Daryl Yang2, Matteo Detto3, Bruce W Nelson4, Min Chen5 and Kaiyu Guan6, (1)University of Hong Kong, School of Biological Sciences, Hong Kong, Hong Kong, (2)Stony Brook University, Ecology and Evolution, Stony Brook, NY, United States, (3)Princeton University, Princeton, United States, (4)INPA National Institute of Amazonian Research, Manaus, Brazil, (5)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States, (6)University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States
Linking Radial Growth Phenology to Reflection Indexes in Coniferous Species. (583785)
Andrei G Lapenis1, George Robinson2, Clare Gaffey3, Maurizio Mencuccini4, Alexander Buyantuev1 and Shiguo Jiang1, (1)University at Albany State University of New York, Geography and Planning, Albany, NY, United States, (2)University at Albany State University of New York, Biology, Albany, NY, United States, (3)Clark University, Geography, Worcester, MA, United States, (4)CREAF, Cerdanyola del Vallès, Spain
Using Temporal "Rubber-Sheeting" to Match an Annual Phenological Profile to a Reference Profile for Direct Comparison of Vegetation Status and Health (583966)
William Walter Hargrove, USDA Forest Service Southern Research Station, Eastern Forest Environmental Threat Assessment Center, Hot Springs National, AR, United States, Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States and Steven P Norman, USDA Forest Service, Asheville, NC, United States
Climate Change Drives Phenological Shifts in the Greater Yellowstone Ecosystem (596542)
Trevor Bloom, Nature Conservancy, Wyoming Science, Arlington, DC, United States, Corinna Riginos Dr., Nature Conservancy, Wyoming Science, Arlington, United States and Donal O'Leary III, University of Maryland College Park, College Park, MD, United States
A Bayesian hierarchical space-time model in characterizing the impacts of climate change and extreme weather events on land surface phenology (599340)
Tong Qiu1, Conghe Song1, Bijan Seyednasrollah2,3 and Nuvan Rathnayaka4, (1)University of North Carolina at Chapel Hill, Department of Geography, Chapel Hill, NC, United States, (2)Harvard University, Cambridge, MA, United States, (3)Northern Arizona University, School of Informatics, Computing and Cyber Systems, Flagstaff, AZ, United States, (4)University of North Carolina at Chapel Hill, Biostatistics, Chapel Hill, United States
Evaluating model uncertainties in daily to seasonal carbon, water and energy cycling across a latitudinal transect using a combination of ensemble analysis and benchmarking (600570)
Shawn Serbin, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, Nathan Collier, Oak Ridge National Laboratory, Computational Earth Sciences, Oak Ridge, TN, United States, Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States and Forrest M. Hoffman, University of California Irvine, Department of Earth System Science, Irvine, CA, United States
Flowers to Fruits: A Novel Framework for Predicting Understory Phenology (615677)
Greg McDermid, University of Calgary, Department of Geography, Calgary, AB, Canada, David N Laskin, University of Calgary, Geography, Calgary, AB, Canada, Scott E Nielsen, University of Alberta, Edmonton, AB, Canada, Shawn J Marshall, Univ Calgary, Calgary, AB, Canada, David Roberts, University of Calgary, Calgary, Canada and Alessandro Montaghi, University of Calgary, Calgary, AB, Canada
