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

Jeong, Su-Jong1,6; Schimel, David1; Frankenberg, Christian1; Drewry, Darren T.1,5; Fisher, Joshua B.1; Verma, Manish1,7; Berry, Joseph A.2; Lee, Jung-Eun3; Joiner, Joanna4

2017-03

10.1016/j.rse.2016.11.021

REMOTE SENSING OF ENVIRONMENT   影响因子和分区

0034-4257

1879-0704

This study evaluates the large-scale seasonal phenology and physiology of vegetation over northern high latitude forests (40 degrees-55 degrees 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. (C) 2016 Elsevier Inc. All rights reserved.

Solar-induced chlorophyll fluorescence SIF NDVI GPP Phenology Large-scale

SCI ; EI

英语

ESI高被引

通讯

Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology

Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000394399300014

ELSEVIER SCIENCE INC

20165303196626

Chlorophyll ; Ecosystems ; Fluorescence ; Forestry ; Hysteresis ; Physiology ; Remote sensing

Ecology and Ecosystems:454.3 ; Biology:461.9 ; Light/Optics:741.1 ; Organic Compounds:804.1 ; Systems Science:961

GEOSCIENCES

Web of Science

1.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
2.Carnegie Inst Sci, Dept Global Ecol, 260 Panama St, Stanford, CA 94305 USA
3.Brown Univ, Dept Geol Sci, Providence, RI 02912 USA
4.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
5.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90024 USA
6.South Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen, Peoples R China
7.Univ Michigan, Stat Comp & Analyt Res, Ann Arbor, MI 48109 USA

Jeong, Su-Jong,Schimel, David,Frankenberg, Christian,et al. Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests[J]. REMOTE SENSING OF ENVIRONMENT,2017,190:178-187.

Jeong, Su-Jong.,Schimel, David.,Frankenberg, Christian.,Drewry, Darren T..,Fisher, Joshua B..,...&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,190,178-187.

Jeong, Su-Jong,et al."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(2017):178-187.