B064
Understanding Phenological Responses and Feedbacks in Terrestrial Vegetation: Patterns, Mechanisms, and Consequences
Session ID#: 158235
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); determining underlying mechanistic processes; developing accurate model representations of vegetation phenology; and investigating phenological implications for key land surface processes and society. The session may include contributions from USA National Phenology Network (USA-NPN) activities, which have provided data and tools to advance research, support decision making, and engage scientists, educators, resource managers, policy-makers, and the public in this emerging field.
Index Terms:
0428 Carbon cycling [BIOGEOSCIENCES]
0438 Diel, seasonal, and annual cycles [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
Primary Convener: Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute, Environmental Science Division, Oak Ridge, TN, United States
Conveners: Min Chen, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States, Kai Zhu, University of California Santa Cruz, Department of Environmental Studies, Santa Cruz, CA, United States and Forrest M. Hoffman, Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States
A novel model to accurately predict continental-scale timing of forest green-up (1049204)
Naresh Neupane1, Michele Peruzzi2, Ali Arab3, Stephen Mayor4, John C Withey5, Leslie Ries1 and Andrew O Finley6, (1)Georgetown University, Washington, DC, United States, (2)Duke University, Durham, United States, (3)Georgetown University, Washington DC, United States, (4)Ontario Forest Research Institute, Ontario, Canada, (5)Evergreen State College, Washington, United States, (6)Michigan State University, Department of Forestry and Geography, East Lansing, United States
Understanding urban plant phenology for sustainable cities and planet (Invited) (1049742)
Yuyu Zhou1, Lin Meng2,3, Xuecao Li2 and Yiming Wang4, (1)Iowa State University, Department of Geological and Atmospheric Sciences, Ames, IA, United States, (2)Iowa State University, Dept. of Geological & Atmospheric Sciences, Ames, United States, (3)Vanderbilt University, Nashville, TN, United States, (4)Iowa State University, Dept. of Geological & Atmospheric Sciences, Ames, IA, United States
Substituting Sentinel-3 OLCI for MODIS NDVI, Converting Historical MODIS into Synthetic Sentinel-3, and Generating National Days Early/Late Phenology Timing Maps (Invited) (1051783)
William Walter Hargrove, USDA Forest Service, Vallejo, CA, United States and Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Asynchrony among satellite metrics of photosynthetic phenology across the boreal domain (1052016)
Andrew Maguire1, Nicholas Parazoo2, Russell Doughty3, Philipp Koehler4, Nima Madani5, Kenneth Smith6, David R Bowling7, Rui Cheng8, Zoe Pierrat9, Troy Magney10, Erica Orcutt10 and Christian Frankenberg11, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory (JPL), Pasadena, CA, United States, (3)California Institute of Technology, Pasadena, CA, United States, (4)EUMETSAT, Darmstadt, Germany, (5)UCLA - JIFRESSE, Los Angeles, United States, (6)Utah State University, Logan, United States, (7)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (8)Cal Tech, Pasedena, CA, United States, (9)University of California Los Angeles, Los Angeles, CA, United States, (10)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (11)NASA Jet Propulsion Laboratory, Pasadena, United States
Two decades of variability and change in land surface phenology from MODIS (1061576)
Minkyu Moon1, Tristan Green2 and Mark A Friedl1, (1)Boston University, Earth and Environment, Boston, MA, United States, (2)Boston University, Earth and Environment, Boston, United States
Inferring flowering phenology of wind-pollinated plants with high spatiotemporal resolution imagery (1064234)
Yiluan Song1, Zhe Zhu2, Daniel Katz3, Claudie Beaulieu4 and Kai Zhu1, (1)University of California Santa Cruz, Department of Environmental Studies, Santa Cruz, CA, United States, (2)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States, (3)Cornell University, School of Integrative Plant Science, Ithaca, United States, (4)University of California Santa Cruz, Department of Ocean Sciences, Santa Cruz, United States
Photosynthesis phenology, as defined by solar-induced chlorophyll fluorescence, is overestimated by vegetation indices in the extratropical Northern Hemisphere (1070780)
Anping Chen, Colorado State University, Fort Collins, CO, United States, Fandong Meng, Institute of Tibetan Plateau Research, Peking, China, Jiafu Mao, Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, United States, Daniel M Ricciuto, Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States and Alan Knapp, Colorado State University, Department of Biology and Graduate Degree Program in Ecology, Fort Collins, United States
Unraveling vegetation phenology responses to extreme drought and implications on the carbon, water, and energy budgets (1073943)
Nicholas Karl Corak, Wake Forest University, Winston-Salem, NC, United States, Trent Ford, University of Illinois at Urbana Champaign, Illinois State Water Survey, Urbana, United States, Jason Otkin, University of Wisconsin-Madison, CIMSS/SSEC, Madison, United States and Lauren Lowman, Wake Forest University, Engineering, Winston-Salem, NC, United States
TROPOMI SIF captures photosynthetic and land surface phenology better than traditional vegetation indices over North America (1074711)
Jingru Zhang, McMaster University, Hamilton, ON, Canada, Alemu Gonsamo, University of Toronto, Toronto, ON, Canada, Xiaojuan Tong, Beijing Forestry University, Beijing, China and Jingfeng Xiao, University of New Hampshire, Durham, United States
A global synthesis of biomass loss due to wind disturbances during 2016-2018 (1099627)
Rong-Yu Gu, Columbia University, Department of Earth and Environmental Engineering, New York, United States, Jashvina Devadoss, University of California Berkeley, Berkeley, CA, United States, Philippe Ciais, LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France, Jean-Pierre Wigneron, INRAE Bordeaux-Aquitaine, Villenave d'Ornon Cedex, France, Maria Piles, Image Processing Laboratory, Universitat de València, Paterna, Spain and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States
On the use of satellite-based phenological metrics for improving pasture degradation assessment in the Cerrado biome, Brazil (1105278)
Laerte Guimaraes Ferreira1, Lênio Soares Galvão2, Nathália Monteiro Teles3, Vinícius Vieira Mesquita3, Luis Baumann4, Claudinei Oliveira dos Santos Sr5, Victor Rezende Couto6, Wilton Ladeira6 and Leandro L Parente7, (1)UFG Federal University of Goiás, Lapig - Image Processing and GIS Lab, Goiania, Brazil, (2)INPE National Institute for Space Research, Remote Sensing Division, Sao Jose dos Campos, Brazil, (3)Federal University of Goiás, LAPIG, Goiânia, Brazil, (4)UFG Federal University of Goiás, Institute of Mathematics and Statistics, Goiania, Brazil, (5)Federal University of Goiás, Lapig Laboratory of Image Processing and Geoprocessing - Geography, Goiânia, Brazil, (6)UFG Federal University of Goiás, Animal Science, Goiania, Brazil, (7)Federal University of Goiás, Goiania, Brazil
Phenological measurements of cover-cropped agricultural systems using low-cost cameras (1105471)
David Collins1, Shannon Elizabeth Brown2, Elke Eichelmann1 and Claudia Wagner-Riddle2, (1)University College Dublin, Dublin, Ireland, (2)University of Guelph, School of Environmental Sciences, Guelph, ON, Canada
Fusing Temporal Satellite Observations with Near-Surface Phenocam Time Series for Improving Land Surface Phenology Detection (1114220)
Khuong H Tran, Geospatial Sciences Center of Excellence (GSCE), South Dakota State University, Brookings, United States, Xiaoyang Zhang, Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, Jianmin Wang, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, Yongchang Ye, Geospatial Sciences Center of Excellence (GSCE), South Dakota State University, Brookings, SD, United States and Yu Shen, South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States
Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere (1147838)
Xufeng Wang1, Gaofeng Zhu2, Jingfeng Xiao3, Kun Zhang4, Honglin He5, Yunquan Wang6, Weide Li7 and Huiling Chen2, (1)Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China, (2)Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, China, (3)University of New Hampshire, Durham, United States, (4)Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, (5)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China, (6)School of Environmental Studies, China University of Geosciences, Wuhan, China, (7)School of Mathematics and Statistics, Lanzhou University, Lanzhou, China
How to better detect the vegetation phenology response to climatic changes using eddy covariance data? (1154814)
Annu Panwar1, Alexander J Winkler1, Jacob A Nelson1, Jose Cortes1, Ana Bastos1, Matthias Forkel2 and Mirco Migliavacca3, (1)Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, Jena, Germany, (2)Dresden University of Technology, Institute of Photogrammetry and Remote Sensing, Dresden, Germany, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany
Indirect effects of phenological shifts on pollinator communities in northern Michigan (1157919)
Isabel Ramos, Pomona College, Claremont, CA, United States, Dana Martin, Concordia University, Montreal, QC, Canada and Jean-Philippe Lessard, Concordia University, Montreal, Canada
Problems in the mechanistic spring phenology models (1162643)
Xiaojie Gao, North Carolina State University Raleigh, Center for Geospatial Analytics, Raleigh, NC, United States and Joshua Gray, North Carolina State University, Center for Geospatial Analytics, Raleigh, NC, United States
Analyzing the Green-Up Phenology of North American Forest Ecosystems with Carbon Flux and Digital Camera Time Series (1169859)
Lily Klinek1, Jessie Au2, Christopher YS Wong2, Troy Magney2 and Dennis D Baldocchi3, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (3)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States
S(hr)ubarctic Phenology: A Seasonal Snapshot of Palsa Shrubs at Stordalen Mire (1170534)
Karuna Bhat, University of Wisconsin Madison, Madison, WI, United States, Jessica Szetela, University of Arizona, Tucson, United States, Max Murphy, Stockton University, Durham, NH, UNITED STATES, AiLi Pigott, Colorado College, Colorado Springs, United States, Bianca Cilento, Rochester Institute of Technology, Rochester, NY, United States, Maria Florencia Fahnestock, University of New Hampshire, Durham, United States, Ruth K Varner, University of New Hampshire, Durham, NH, United States and Scott R Saleska, University of Arizona, Department of Ecology & Evolutionary Biology, Tucson, AZ, United States
Growing uncertainty in projected spring onset variability in the Northern Hemisphere (1196188)
Xiaolu Li1, Toby Ault2, Colin Evans2, Flavio Lehner3, Carlos Carrillo1, Alison Donnelly4, Theresa M Crimmins5, Amanda S Gallinat6 and Mark D Schwartz7, (1)Cornell University, Ithaca, NY, United States, (2)Cornell University, Department of Earth and Atmospheric Science, Ithaca, NY, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)University of Wisconsin Milwaukee, Milwaukee, WI, United States, (5)USA National Phenology Network, Tucson, AZ, United States, (6)University of Wisconsin Milwaukee, Milwaukee, United States, (7)UW-Milwaukee, Milwaukee, WI, United States
