Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems. (30th December 2021)
- Record Type:
- Journal Article
- Title:
- Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems. (30th December 2021)
- Main Title:
- Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems
- Authors:
- Fu, Zheng
Ciais, Philippe
Makowski, David
Bastos, Ana
Stoy, Paul C.
Ibrom, Andreas
Knohl, Alexander
Migliavacca, Mirco
Cuntz, Matthias
Šigut, Ladislav
Peichl, Matthias
Loustau, Denis
El‐Madany, Tarek S.
Buchmann, Nina
Gharun, Mana
Janssens, Ivan
Markwitz, Christian
Grünwald, Thomas
Rebmann, Corinna
Mölder, Meelis
Varlagin, Andrej
Mammarella, Ivan
Kolari, Pasi
Bernhofer, Christian
Heliasz, Michal
Vincke, Caroline
Pitacco, Andrea
Cremonese, Edoardo
Foltýnová, Lenka
Wigneron, Jean‐Pierre - Abstract:
- Abstract: Understanding the critical soil moisture (SM) threshold (θcrit ) of plant water stress and land surface energy partitioning is a basis to evaluate drought impacts and improve models for predicting future ecosystem condition and climate. Quantifying the θcrit across biomes and climates is challenging because observations of surface energy fluxes and SM remain sparse. Here, we used the latest database of eddy covariance measurements to estimate θcrit across Europe by evaluating evaporative fraction (EF)‐SM relationships and investigating the covariance between vapor pressure deficit (VPD) and gross primary production (GPP) during SM dry‐down periods. We found that the θcrit and soil matric potential threshold in Europe are 16.5% and −0.7 MPa, respectively. Surface energy partitioning characteristics varied among different vegetation types; EF in savannas had the highest sensitivities to SM in water‐limited stage, and the lowest in forests. The sign of the covariance between daily VPD and GPP consistently changed from positive to negative during dry‐down across all sites when EF shifted from relatively high to low values. This sign of the covariance changed after longer period of SM decline in forests than in grasslands and savannas. Estimated θcrit from the VPD–GPP covariance method match well with the EF–SM method, showing this covariance method can be used to detect the θcrit . We further found that soil texture dominates the spatial variability of θcrit whileAbstract: Understanding the critical soil moisture (SM) threshold (θcrit ) of plant water stress and land surface energy partitioning is a basis to evaluate drought impacts and improve models for predicting future ecosystem condition and climate. Quantifying the θcrit across biomes and climates is challenging because observations of surface energy fluxes and SM remain sparse. Here, we used the latest database of eddy covariance measurements to estimate θcrit across Europe by evaluating evaporative fraction (EF)‐SM relationships and investigating the covariance between vapor pressure deficit (VPD) and gross primary production (GPP) during SM dry‐down periods. We found that the θcrit and soil matric potential threshold in Europe are 16.5% and −0.7 MPa, respectively. Surface energy partitioning characteristics varied among different vegetation types; EF in savannas had the highest sensitivities to SM in water‐limited stage, and the lowest in forests. The sign of the covariance between daily VPD and GPP consistently changed from positive to negative during dry‐down across all sites when EF shifted from relatively high to low values. This sign of the covariance changed after longer period of SM decline in forests than in grasslands and savannas. Estimated θcrit from the VPD–GPP covariance method match well with the EF–SM method, showing this covariance method can be used to detect the θcrit . We further found that soil texture dominates the spatial variability of θcrit while shortwave radiation and VPD are the major drivers in determining the spatial pattern of EF sensitivities. Our results highlight for the first time that the sign change of the covariance between daily VPD and GPP can be used as an indicator of how ecosystems transition from energy to SM limitation. We also characterized the corresponding θcrit and its drivers across diverse ecosystems in Europe, an essential variable to improve the representation of water stress in land surface models. Abstract : Focusing on soil moisture (SM) dry‐downs, we used eddy covariance measurements in Europe to quantify the critical SM threshold (θcrit ) and test the hypothesis that the sign change of covariance between daily vapor pressure deficit (VPD) and gross primary production (GPP) can be used to detect θcrit . We found that the θcrit and soil matric potential threshold are 16.5% and −0.7 MPa, respectively. The sign of VPD–GPP covariance changed from positive to negative during dry‐down when evaporative fraction (EF) shifted from relatively high to low values. Estimated θcrit from the VPD–GPP covariance method match well with the EF–SM method. … (more)
- Is Part Of:
- Global change biology. Volume 28:Number 6(2022)
- Journal:
- Global change biology
- Issue:
- Volume 28:Number 6(2022)
- Issue Display:
- Volume 28, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 6
- Issue Sort Value:
- 2022-0028-0006-0000
- Page Start:
- 2111
- Page End:
- 2123
- Publication Date:
- 2021-12-30
- Subjects:
- critical soil moisture threshold -- drought -- Europe -- evaporative fraction -- gross primary production -- surface energy partitioning -- vapor pressure deficit
Climatic changes -- Environmental aspects -- Periodicals
Troposphere -- Environmental aspects -- Periodicals
Biodiversity conservation -- Periodicals
Eutrophication -- Periodicals
551.5 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=gcb ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/gcb.16050 ↗
- Languages:
- English
- ISSNs:
- 1354-1013
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4195.358330
British Library DSC - BLDSS-3PM
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- 26376.xml