Authors: Jian Wang*, The Ohio State University
Topics: Remote Sensing, Global Change, Polar Regions
Keywords: climate change, leaf senescence date (LSD), precipitation amount, precipitation distribution, phenology prediction
Session Type: Paper
Start / End Time: 9:35 AM / 10:50 AM
Room: Director's Row I, Sheraton, Plaza Building, Lobby Level
Presentation File: No File Uploaded
Plant phenology plays an important role in the global carbon cycle, and has been considered as one of the most sensitive indicators to climate change. Previous studies have focused on the response of spring phenology of leaf unfolding to temperature increase. However, understanding how climate change impacts autumn phenology of leaf senescence date (LSD) is more challenging. Intensive and frequent precipitations have been reported over the past a few decades, yet its impact on LSD remain largely unknown. Using multiple time series of in situ observations and flux records, as well as long-term remote sensing data, we investigate the response of LSD to precipitation amount and distribution for 1982-2015 in the Northern Hemisphere. We therefore develop an improved LSD algorithm by incorporating precipitation and predict the trend of LSD by the end of this century. Our study reveals an overlooked role of precipitation amount and distribution impacting LSD over the past three decades, and future precipitation amount and distribution would impose a vital effect on LSD that might contribute to a significant feedback to climate.