Evidence map›Paper›PMID 34478589›Full record

ReviewGlobal change biology2021

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

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 and 26 more

Abstract readReview
In one paragraph

Review in Global change biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Alexandra G KoningsStanford University, Stanford, CA, USA.ORCID 0000-0002-2810-1722
Sassan S SaatchiJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0001-8524-4917
Christian FrankenbergCalifornia Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-0546-5857
Michael KellerJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-0253-3359
Victor LeshykNorthern Arizona University, Flagstaff, AZ, USA.
William R L AndereggUniversity of Utah, Salt Lake City, UT, USA.ORCID 0000-0001-6551-3331
Vincent HumphreyCalifornia Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-2541-6382
Ashley M MathenyUniversity of Texas - Austin, Austin, TX, USA.ORCID 0000-0002-9532-7131
Anna TrugmanUniversity of California - Santa Barbara, Santa Barbara, CA, USA.ORCID 0000-0002-7903-9711
Lawren SackUniversity of California - Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-7009-7202
Elizabeth AgeeOak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID 0000-0002-2331-3056
Mallory L BarnesIndiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0001-8528-6981
Oliver BinksThe Australian National University, Canberra, ACT, Australia.ORCID 0000-0002-6291-3644
Kerry Cawse-NicholsonJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-0510-4066
Bradley O ChristoffersenUniversity of Texas - Rio Grande, Edinburg, TX, USA.ORCID 0000-0002-4890-9999
Dara EntekhabiMassachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-8362-4761
Pierre GentineColumbia University, New York, NY, USA.ORCID 0000-0002-0845-8345
Nataniel M HoltzmanStanford University, Stanford, CA, USA.ORCID 0000-0002-0585-9928
Gabriel G KatulDuke University, Durham, NC, USA.ORCID 0000-0001-9768-3693
Yanlan LiuThe Ohio State University, Columbus, OH, USA.ORCID 0000-0001-5129-6284
Marcos LongoJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0001-5062-6245
Jordi Martinez-VilaltaCentre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona, Spain.ORCID 0000-0002-2332-7298
Nate McDowellPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0002-2178-2254
Patrick MeirThe Australian National University, Canberra, ACT, Australia.ORCID 0000-0002-2362-0398
Maurizio MencucciniCentre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona, Spain.ORCID 0000-0003-0840-1477
Assaad MradUniversity of California - Irvine, Irvine, CA, USA.ORCID 0000-0003-4922-4446
Kimberly A NovickIndiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-8431-0879
Rafael S OliveiraUniversity of Campinas, Campinas, Brazil.ORCID 0000-0002-6392-2526
Paul SiqueiraUniversity of Massachusetts - Amherst, Amherst, MA, USA.ORCID 0000-0001-5781-8282
Susan C Steele-DunneDelft University of Technology, Delft, The Netherlands.ORCID 0000-0002-8644-3077
David R ThompsonJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-1100-7550
Yujie WangCalifornia Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-3729-2743
Richard WehrUniversity of Arizona, Tucson, AZ, USA.ORCID 0000-0002-0806-9390
Jeffrey D WoodUniversity of Missouri, Columbia, MO, USA.ORCID 0000-0001-6422-2882
Xiangtao XuCornell University, Ithaca, NY, USA.ORCID 0000-0002-9402-9474
Pieter A ZuidemaWageningen University, Wageningen, The Netherlands.ORCID 0000-0001-8100-1168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droughts in a warming climate have become more common and more extreme, making understanding forest responses to water stress increasingly pressing. Analysis of water stress in trees has long focused on water potential in xylem and leaves, which influences stomatal closure and water flow through the soil-plant-atmosphere continuum. At the same time, changes of vegetation water content (VWC) are linked to a range of tree responses, including fluxes of water and carbon, mortality, flammability, and more. Unlike water potential, which requires demanding in situ measurements, VWC can be retrieved from remote sensing measurements, particularly at microwave frequencies using radar and radiometry. Here, we highlight key frontiers through which VWC has the potential to significantly increase our understanding of forest responses to water stress. To validate remote sensing observations of VWC at landscape scale and to better relate them to data assimilation model parameters, we introduce an ecosystem-scale analog of the pressure-volume curve, the non-linear relationship between average leaf or branch water potential and water content commonly used in plant hydraulics. The sources of variability in these ecosystem-scale pressure-volume curves and their relationship to forest response to water stress are discussed. We further show to what extent diel, seasonal, and decadal dynamics of VWC reflect variations in different processes relating the tree response to water stress. VWC can also be used for inferring belowground conditions-which are difficult to impossible to observe directly. Lastly, we discuss how a dedicated geostationary spaceborne observational system for VWC, when combined with existing datasets, can capture diel and seasonal water dynamics to advance the science and applications of global forest vulnerability to future droughts.

Indexed as

DroughtsEcosystemForestsPlant LeavesTreesXylemdrought-induced tree mortalitydrought responsemicrowave remote sensingpressure-volumevegetation optical depthvegetation water contentwater potential

Identifiers

PMID34478589
PMCPMC9293345

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.