Literature DB >> 33539544

Leaf surface water, not plant water stress, drives diurnal variation in tropical forest canopy water content.

Xiangtao Xu1,2, Alexandra G Konings3, Marcos Longo4, Andrew Feldman5, Liang Xu4, Sassan Saatchi4,6, Donghai Wu2, Jin Wu7, Paul Moorcroft1.   

Abstract

Variation in canopy water content (CWC) that can be detected from microwave remote sensing of vegetation optical depth (VOD) has been proposed as an important measure of vegetation water stress. However, the contribution of leaf surface water (LWs ), arising from dew formation and rainfall interception, to CWC is largely unknown, particularly in tropical forests and other high-humidity ecosystems. We compared VOD data from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and CWC predicted by a plant hydrodynamics model at four tropical sites in Brazil spanning a rainfall gradient. We assessed how LWs influenced the relationship between VOD and CWC. The analysis indicates that while CWC is strongly correlated with VOD (R2  = 0.62 across all sites), LWs accounts for 61-76% of the diurnal variation in CWC despite being < 10% of CWC. Ignoring LWs weakens the near-linear relationship between CWC and VOD and reduces the consistency in diurnal variation. The contribution of LWs to CWC variation, however, decreases at longer, seasonal to inter-annual, time scales. Our results demonstrate that diurnal patterns of dew formation and rainfall interception can be an important driver of diurnal variation in CWC and VOD over tropical ecosystems and therefore should be accounted for when inferring plant diurnal water stress from VOD measurements.
© 2021 The Authors New Phytologist © 2021 New Phytologist Foundation.

Entities:  

Keywords:  ED2; X-band; canopy water content (CWC); ecosystem modeling; leaf surface water; vegetation optical depth (VOD)

Year:  2021        PMID: 33539544     DOI: 10.1111/nph.17254

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  4 in total

1.  Increasing and widespread vulnerability of intact tropical rainforests to repeated droughts.

Authors:  Shengli Tao; Jérôme Chave; Pierre-Louis Frison; Thuy Le Toan; Philippe Ciais; Jingyun Fang; Jean-Pierre Wigneron; Maurizio Santoro; Hui Yang; Xiaojun Li; Nicolas Labrière; Sassan Saatchi
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-06       Impact factor: 12.779

2.  Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals.

Authors:  Andrew F Feldman; David Chaparro; Dara Entekhabi
Journal:  IEEE J Sel Top Appl Earth Obs Remote Sens       Date:  2021-11-13       Impact factor: 3.784

Review 3.  Detecting forest response to droughts with global observations of vegetation water content.

Authors:  Alexandra G Konings; Sassan S Saatchi; Christian Frankenberg; Michael Keller; Victor Leshyk; William R L Anderegg; Vincent Humphrey; Ashley M Matheny; Anna Trugman; Lawren Sack; Elizabeth Agee; Mallory L Barnes; Oliver Binks; Kerry Cawse-Nicholson; Bradley O Christoffersen; Dara Entekhabi; Pierre Gentine; Nataniel M Holtzman; Gabriel G Katul; Yanlan Liu; Marcos Longo; Jordi Martinez-Vilalta; Nate McDowell; Patrick Meir; Maurizio Mencuccini; Assaad Mrad; Kimberly A Novick; Rafael S Oliveira; Paul Siqueira; Susan C Steele-Dunne; David R Thompson; Yujie Wang; Richard Wehr; Jeffrey D Wood; Xiangtao Xu; Pieter A Zuidema
Journal:  Glob Chang Biol       Date:  2021-09-25       Impact factor: 13.211

4.  Towards species-level forecasts of drought-induced tree mortality risk.

Authors:  Martin G De Kauwe; Manon E B Sabot; Belinda E Medlyn; Andrew J Pitman; Patrick Meir; Lucas A Cernusak; Rachael V Gallagher; Anna M Ukkola; Sami W Rifai; Brendan Choat
Journal:  New Phytol       Date:  2022-04-22       Impact factor: 10.323

  4 in total

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