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Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests

Jeong, Su-Jong and Schimel, David and Frankenberg, Christian and Drewry, Darren T. and Fisher, Joshua B. and Verma, Manish and Berry, Joseph A. and Lee, Jung-Eun and Joiner, Joanna (2017) Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests. Remote Sensing of Environment, 190 . pp. 178-187. ISSN 0034-4257. https://resolver.caltech.edu/CaltechAUTHORS:20190327-085828441

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Abstract

This study evaluates the large-scale seasonal phenology and physiology of vegetation over northern high latitude forests (40°–55°N) during spring and fall by using remote sensing of solar-induced chlorophyll fluorescence (SIF), normalized difference vegetation index (NDVI) and observation-based estimate of gross primary productivity (GPP) from 2009 to 2011. Based on GPP phenology estimation in GPP, the growing season determined by SIF time-series is shorter in length than the growing season length determined solely using NDVI. This is mainly due to the extended period of high NDVI values, as compared to SIF, by about 46 days (± 11 days), indicating a large-scale seasonal decoupling of physiological activity and changes in greenness in the fall. In addition to phenological timing, mean seasonal NDVI and SIF have different responses to temperature changes throughout the growing season. We observed that both NDVI and SIF linearly increased with temperature increases throughout the spring. However, in the fall, although NDVI linearly responded to temperature increases, SIF and GPP did not linearly increase with temperature increases, implying a seasonal hysteresis of SIF and GPP in response to temperature changes across boreal ecosystems throughout their growing season. Seasonal hysteresis of vegetation at large-scales is consistent with the known phenomena that light limits boreal forest ecosystem productivity in the fall. Our results suggest that continuing measurements from satellite remote sensing of both SIF and NDVI can help to understand the differences between, and information carried by, seasonal variations vegetation structure and greenness and physiology at large-scales across the critical boreal regions.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.rse.2016.11.021DOIArticle
ORCID:
AuthorORCID
Frankenberg, Christian0000-0002-0546-5857
Verma, Manish0000-0002-0722-8732
Joiner, Joanna0000-0003-4278-1020
Additional Information:© 2016 Elsevier Inc. Received 30 October 2015, Revised 29 October 2016, Accepted 27 November 2016, Available online 28 December 2016. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20190327-085828441
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190327-085828441
Official Citation:Su-Jong Jeong, David Schimel, Christian Frankenberg, Darren T. Drewry, Joshua B. Fisher, Manish Verma, Joseph A. Berry, Jung-Eun Lee, Joanna Joiner, Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests, Remote Sensing of Environment, Volume 190, 2017, Pages 178-187, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2016.11.021. (http://www.sciencedirect.com/science/article/pii/S0034425716304680)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94186
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Mar 2019 16:03
Last Modified:11 Oct 2019 21:06

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