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Enabling better global research outcomes in soil, plant & environmental monitoring.

PSY1 Leaf Psychrometer

The leaf psychrometer follows the same principle of measurement as the stem psychrometer, however the body of the chamber is reduced to accommodate smaller and thinner leaf areas in several plant species. The technique used to prepare and install this instrument has also changed as it requires additional care to prepare the installation site. The leaf psychrometer measures the water potential (water status) on a leaf of a plant. The leaf water potential is a quantified indicator of how water stressed a particular plant is based on the measurement taken from the leaf.

In terms of data logging capabilities of the PSY1, they all remain the same regardless of the application (Leaf or Stem psychrometer chambers). The difference between a leaf and stem psychrometer chamber is the size and plant preparation.


See a list of PSY1 Psychrometer Research Publications here.

See Full Playlist of PSY1 Psychrometer Youtube Videos Here


Introduction Videos

PSY1 Psychrometer Theory of Operation:

PSY1 Psychrometer Principle of Operation:

Professor Mike Dixon: In Situ Stem Psychrometer, Part A:

Professor Mike Dixon: In Situ Stem Psychrometer, Part B:

 

Installation Videos

PSY1 Psychrometer Installation:

PSY1 Psychrometer Installation Preparation Video
PSY1 Psychrometer Installation Issues Video
PSY1 Psychrometer De-Installation Video
PSY1 Psychrometer Adjustment Video

 

Calibration Videos

PSY1 Psychrometer Calibration Procedure:

PSY1 Psychrometer Calibration Sealant Video
PSY1 Psychrometer Calibration Solutions Video
PSY1 Psychrometer Calibration Equipment Video

 

Cleaning Videos

PSY1 Psychrometer Cleaning With Chloroform:

PSY1 Psychrometer Cleaning With Electronic Contact Cleaner Video

 

Diagnostics Video

PSY1 Psychrometer Diagnostics:

 

Leaf PSY - Pepper

Figure 1 – The leaf water potential (MPa) of a pepper plant was monitored by a psychrometer continuously at a 10 minute measurement interval.

Leaf PSY on Pepper

Figure 2 – The diurnal plant water status of a pepper plant was measured by leaf psychrometer, represented by the green line. Measurements were monitored every 10 minutes continuously for a two week period. Irrigation events were represented by the dashed blue lines and occurred on the 4th, 7th, 8th and 14th August 2016 at 19:15, 15:49, 19:40, and 14:30, respectively.

Leaf Psy - Poplar

Figure 3 – Poplar tree instrumented with psychrometers (stem and leaf) and a sap flow meter on the main stem.

Leaf PSY on Poplar

Figure 4 – Diurnal time course showing the plant water status (psychrometers) of both the stem and leaf with concurrent sap flow measurements over a 4-day period. Measurements were collected every 10 minutes with PSY1 and SFM data logging systems. The red line represents the heat pulse velocity (cm/hr), blue line represents the water status on the stem, and the green line represents the water status of the poplar tree.

 

SPECIFICATIONS FOR THE PSYCHROMETER

Units MPa
Range -0.1 MPa to -10 Mpa
(1 to 100 Bars)
Resolution 0.01 MPa (0.1 Bar)
Accuracy ±0.1 MPa (1 Bar)
Response Time Measurement mode: 51 seconds
Live mode: 1 second
Sampling Rate 10 Hz

Data

Computer Interface USB, Wireless RF 2.4 GHz
Data Storage MicroSD Card
Memory Capacity Up to 16GB, 4GB MicroSD card included.

Operating Conditions

Temperature Range -10 to 50°C
R/H Range 0-99%

Dimensions

Logger Length: 170 mm
Width: 80 mm
Depth: 35 mm
Psychrometer Chamber Diameter: 19mm
Depth: 19mm
Depth with calibration chamber: 27mm
Weight with cable: 120g
Leaf Clamp Clamp length with Aluminium Rod: 140mm
Clamp length: 30mm
Clamp width: 21mm
Clamp depth: 25mm
Weight of Clamp: 26g
Weight of Clamp with Aluminium Rod: 50g

 

SPECIFICATIONS FOR THE METER

Instrument Logging

Analogue Channels 1x Input, (1x Sensor) High precision 24bit ADC circuit
1x Output – PSY Chamber Heater Circuit
Minimum Logging Interval 1 second
Delayed Start Suspend Logging, Customised Intervals
Sampling Frequency 10Hz

Data

Communications USB, Wireless Radio Frequency 2.4 GHz
Data Storage MicroSD Card, SD, SDHC & SDXC Compatible (FAT32 format)
Software Compatibility Windows 8, 8.1, 10
Data Compatibility FAT32 compatible for direct exchange of SD card with any Windows PC and Mac
Data File Format Comma Separated Values (CSV) for compatibility with all software programs
Memory Capacity Up to 16GB, 4GB MicroSD card included.

Operating Conditions

Temperature Range -40°C to +80°C
R/H Range 0-100%
Upgradable User Upgradeable firmware using USB boot strap loader function
POWER
Internal Battery Specifications
960mAh Lithium Polymer, 4.20 Volts fully charged
External Power Requirements
Bus Power 8-30 Volts DC, non-polarised, current draw is 190mA maximum at 17 volts per logger
USB Power 5 Volts DC
Internal Charge Rate
Bus Power 60mA – 200mA Variable internal charge rate, maximum charge rate of 200mA active when the external voltage rises above 16 Volts DC
USB Power 100mA fixed charge rate
Internal Power Management
Fully Charged Battery 4.20 Volts
Low Power Mode 3.60 Volts – Instrument ceases to take measurements
Discharged Battery 2.90 Volts – Instrument automatically switches off at and below this voltage when no external power connected.
Battery Life varies
  • With a recommended power source connected, operation can be continuous.
  • 3 days at hourly logging interval without chamber heating
  • 1 day with chamber heating
  • PSY-SLC
    Small Leaf Clamp for the PSY1 Leaf Psychrometer.

The PSY1 Psychrometer is widely used in research into plant water stress; below is a list of over 80 publications that have used the PSY1 Psychrometer in their research.

2021

Amrutha, S., Parveen, A. B. M., Muthupandi, M., Vishnu, K., Bisht, S. S., Sivakumar, V., & Ghosh Dasgupta, M. (2021). Characterization of Eucalyptus camaldulensis clones with contrasting response to short-term water stress response. Acta Physiologiae Plantarum, 43(1), 14. https://doi.org/10.1007/s11738-020-03175-0
Avila, R. T., Cardoso, A. A., Batz, T. A., Kane, C. N., DaMatta, F. M., & McAdam, S. A. M. (2021). Limited plasticity in embolism resistance in response to light in leaves and stems in species with considerable vulnerability segmentation. Physiologia Plantarum, n/a(n/a). https://doi.org/10.1111/ppl.13450
Benettin, P., Nehemy, M. F., Asadollahi, M., Pratt, D., Bensimon, M., McDonnell, J. J., & Rinaldo, A. (2021). Tracing and Closing the Water Balance in a Vegetated Lysimeter. Water Resources Research, 57(4), e2020WR029049. https://doi.org/10.1029/2020WR029049
Bourbia, I., Pritzkow, C., & Brodribb, T. J. (2021). Herb and conifer roots show similar high sensitivity to water deficit. Plant Physiology, kiab207. https://doi.org/10.1093/plphys/kiab207
Chen, Y.-J., Maenpuen, P., Zhang, Y.-J., Barai, K., Katabuchi, M., Gao, H., Kaewkamol, S., Tao, L.-B., & Zhang, J.-L. (2021). Quantifying vulnerability to embolism in tropical trees and lianas using five methods: can discrepancies be explained by xylem structural traits? New Phytologist, 229(2), 805–819. https://doi.org/10.1111/nph.16927
Dainese, R., & Tarantino, A. (2021). Measurement of plant xylem water pressure using the high-capacity tensiometer and implications for the modelling of soil–atmosphere interaction. Géotechnique, 71(5), 441–454. https://doi.org/10.1680/jgeot.19.P.153
Epron, D., Kamakura, M., Azuma, W., Dannoura, M., & Kosugi, Y. (2021). Diurnal variations in the thickness of the inner bark of tree trunks in relation to xylem water potential and phloem turgor. Plant-Environment Interactions, 2(3), 112–124. https://doi.org/10.1002/pei3.10045
Espinosa, C. M. O., Salazar, J. C. S., Churio, J. O. R., & Mora, D. S. (2021). Los sistemas agroforestales y la incidencia sobre el estatus hídrico en árboles de cacao. Biotecnología en el Sector Agropecuario y Agroindustrial, 19(1), 256–267. https://doi.org/10.18684/bsaa.v19.n1.2021.1623
Guan, X., Pereira, L., McAdam, S. A. M., Cao, K.-F., & Jansen, S. (2021). No gas source, no problem: Proximity to pre-existing embolism and segmentation affect embolism spreading in angiosperm xylem by gas diffusion. Plant, Cell & Environment, 44(5), 1329–1345. https://doi.org/10.1111/pce.14016
Holtzman, N. M., Anderegg, L. D. L., Kraatz, S., Mavrovic, A., Sonnentag, O., Pappas, C., Cosh, M. H., Langlois, A., Lakhankar, T., Tesser, D., Steiner, N., Colliander, A., Roy, A., & Konings, A. G. (2021). L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand. Biogeosciences, 18(2), 739–753. https://doi.org/10.5194/bg-18-739-2021
Mantova, M., Menezes-Silva, P. E., Badel, E., Cochard, H., & Torres-Ruiz, J. M. (2021). The interplay of hydraulic failure and cell vitality explains tree capacity to recover from drought. Physiologia Plantarum, 172(1), 247–257. https://doi.org/10.1111/ppl.13331
Nehemy, M. F., Benettin, P., Asadollahi, M., Pratt, D., Rinaldo, A., & McDonnell, J. J. (2021). Tree water deficit and dynamic source water partitioning. Hydrological Processes, 35(1), e14004. https://doi.org/10.1002/hyp.14004
Nolan, R. H., Gauthey, A., Losso, A., Medlyn, B. E., Smith, R., Chhajed, S. S., Fuller, K., Song, M., Li, X., Beaumont, L. J., Boer, M. M., Wright, I. J., & Choat, B. (2021). Hydraulic failure and tree size linked with canopy die-back in eucalypt forest during extreme drought. New Phytologist, 230(4), 1354–1365. https://doi.org/10.1111/nph.17298
Nuixe, M., Traoré, A. S., Blystone, S., Bonny, J.-M., Falcimagne, R., Pagès, G., & Picon-Cochard, C. (2021). Circadian Variation of Root Water Status in Three Herbaceous Species Assessed by Portable NMR. Plants, 10(4), 782. https://doi.org/10.3390/plants10040782
Pritzkow, C., Szota, C., Williamson, V., & Arndt, S. K. (2021). Previous drought exposure leads to greater drought resistance in eucalypts through changes in morphology rather than physiology. Tree Physiology, tpaa176. https://doi.org/10.1093/treephys/tpaa176
Soland, K. R., Kerhoulas, L. P., Kerhoulas, N. J., & Teraoka, J. R. (2021). Second-growth redwood forest responses to restoration treatments. Forest Ecology and Management, 496, 119370. https://doi.org/10.1016/j.foreco.2021.119370

2020

Bourbia, I., Carins-Murphy, M. R., Gracie, A., & Brodribb, T. J. (2020). Xylem cavitation isolates leaky flowers during water stress in pyrethrum. New Phytologist, 227(1), 146–155. https://doi.org/10.1111/nph.16516
Cai, G., Ahmed, M. A., Reth, S., Reiche, M., Kolb, A., & Carminati, A. (2020). Measurement of leaf xylem water potential and transpiration during soil drying using a root pressure chamber system. Acta Horticulturae, 131–138. https://doi.org/10.17660/ActaHortic.2020.1300.17
Cardoso, A. A., Brodribb, T. J., Kane, C. N., DaMatta, F. M., & McAdam, S. A. M. (2020). Osmotic adjustment and hormonal regulation of stomatal responses to vapour pressure deficit in sunflower. AoB PLANTS, 12(4). https://doi.org/10.1093/aobpla/plaa025
Dainese, R., Tedeschi, G., Fourcaud, T., & Tarantino, A. (2020). Measurement of xylem water pressure using High-Capacity Tensiometer and benchmarking against Pressure Chamber and Thermocouple Psychrometer. 195, 03014. https://doi.org/10.1051/e3sconf/202019503014
Deng, L., Li, P., Chu, C., Ding, Y., & Wang, S. (2020). Symplasmic phloem unloading and post-phloem transport during bamboo internode elongation. Tree Physiology, 40(3), 391–412. https://doi.org/10.1093/treephys/tpz140
Gauthey, A., Peters, J. M. R., Carins-Murphy, M. R., Rodriguez-Dominguez, C. M., Li, X., Delzon, S., King, A., López, R., Medlyn, B. E., Tissue, D. T., Brodribb, T. J., & Choat, B. (2020). Visual and hydraulic techniques produce similar estimates of cavitation resistance in woody species. New Phytologist, 228(3), 884–897. https://doi.org/10.1111/nph.16746
Gullo, G., Dattola, A., Vonella, V., & Zappia, R. (2020). Effects of two reflective materials on gas exchange, yield, and fruit quality of sweet orange tree Citrus sinensis (L.) Osb. European Journal of Agronomy, 118, 126071. https://doi.org/10.1016/j.eja.2020.126071
Guo, J. S., Gear, L., Hultine, K. R., Koch, G. W., & Ogle, K. (2020). Non-structural carbohydrate dynamics associated with antecedent stem water potential and air temperature in a dominant desert shrub. Plant, Cell & Environment, 43(6), 1467–1483. https://doi.org/10.1111/pce.13749
Guo, J. S., Hultine, K. R., Koch, G. W., Kropp, H., & Ogle, K. (2020). Temporal shifts in iso/anisohydry revealed from daily observations of plant water potential in a dominant desert shrub. New Phytologist, 225(2), 713–726. https://doi.org/10.1111/nph.16196
Levionnois, S., Ziegler, C., Jansen, S., Calvet, E., Coste, S., Stahl, C., Salmon, C., Delzon, S., Guichard, C., & Heuret, P. (2020). Vulnerability and hydraulic segmentations at the stem–leaf transition: coordination across Neotropical trees. New Phytologist, 228(2), 512–524. https://doi.org/10.1111/nph.16723
Li, X., Smith, R., Choat, B., & Tissue, D. T. (2020). Drought resistance of cotton (Gossypium hirsutum) is promoted by early stomatal closure and leaf shedding. Functional Plant Biology, 47(2), 91–98. https://doi.org/10.1071/FP19093
Li, R., Lu, Y., Peters, J. M. R., Choat, B., & Lee, A. J. (2020). Non-invasive measurement of leaf water content and pressure–volume curves using terahertz radiation. Scientific Reports, 10(1), 21028. https://doi.org/10.1038/s41598-020-78154-z
Li, X., He, X., Smith, R., Choat, B., & Tissue, D. (2020). Temperature alters the response of hydraulic architecture to CO2 in cotton plants (Gossypium hirsutum). Environmental and Experimental Botany, 172, 104004. https://doi.org/10.1016/j.envexpbot.2020.104004
Liu, N., Deng, Z., Wang, H., Luo, Z., Gutiérrez-Jurado, H. A., He, X., & Guan, H. (2020). Thermal remote sensing of plant water stress in natural ecosystems. Forest Ecology and Management, 476, 118433. https://doi.org/10.1016/j.foreco.2020.118433
Luo, Z., Deng, Z., Singha, K., Zhang, X., Liu, N., Zhou, Y., He, X., & Guan, H. (2020). Temporal and spatial variation in water content within living tree stems determined by electrical resistivity tomography. Agricultural and Forest Meteorology, 291, 108058. https://doi.org/10.1016/j.agrformet.2020.108058
Ocheltree, T., Gleason, S., Cao, K.-F., & Jiang, G.-F. (2020). Loss and recovery of leaf hydraulic conductance: Root pressure, embolism, and extra-xylary resistance. Journal of Plant Hydraulics, 7, e-001. https://doi.org/10.20870/jph.2020.e-001
Pereira, L., Bittencourt, P. R. L., Pacheco, V. S., Miranda, M. T., Zhang, Y., Oliveira, R. S., Groenendijk, P., Machado, E. C., Tyree, M. T., Jansen, S., Rowland, L., & Ribeiro, R. V. (2020). The Pneumatron: An automated pneumatic apparatus for estimating xylem vulnerability to embolism at high temporal resolution. Plant, Cell & Environment, 43(1), 131–142. https://doi.org/10.1111/pce.13647
Rodriguez-Dominguez, C. M., & Brodribb, T. J. (2020). Declining root water transport drives stomatal closure in olive under moderate water stress. New Phytologist, 225(1), 126–134. https://doi.org/10.1111/nph.16177
Schenk, H. J., Mocko, K., Michaud, J. M., Hunt, A., Roldan, G., Catalan, M., Downey, A., & Steppe, K. (2020). In situ measurement of plant hydraulic conductance. Acta Horticulturae, 169–178. https://doi.org/10.17660/ActaHortic.2020.1300.22
Soland, K. (2020). Efficacy of forest restoration treatments across a 40-year chronosequence at Redwood National Park [Humboldt State Universit]. https://digitalcommons.humboldt.edu/etd/372
Wang, S., Zhan, H., Li, P., Chu, C., Li, J., & Wang, C. (2020). Physiological Mechanism of Internode Bending Growth After the Excision of Shoot Sheath in Fargesia yunnanensis and Its Implications for Understanding the Rapid Growth of Bamboos. Frontiers in Plant Science, 11. https://doi.org/10.3389/fpls.2020.00418

2019

Amrutha, S., Muneera Parveen, A. B., Muthupandi, M., Sivakumar, V., Nautiyal, R., & Dasgupta, M. G. (2019). Variation in morpho-physiological, biochemical and molecular responses of two Eucalyptus species under short-term water stress. Acta Botanica Croatica, 78(2), 125–134. https://doi.org/10.2478/botcro-2019-0021
Enright, M. M. (2019). Lack of Seasonal Change in Hydraulic Conductivity Points to Short-Term Embolism Repair in Redwood Treetop Branches - ProQuest [Degree ofMaster of Science in Biology, Northern Arizona University]. https://www.proquest.com/openview/af2328d97786137b96dc5e69600db973/1?pq-origsite=gscholar&cbl=51922&diss=y
Iwasaki, N., Hori, K., & Ikuta, Y. (2019). Xylem plays an important role in regulating the leaf water potential and fruit quality of Meiwa kumquat (Fortunella crassifolia Swingle) trees under drought conditions. Agricultural Water Management, 214, 47–54. https://doi.org/10.1016/j.agwat.2018.12.026
Liu, N., Buckley, T. N., He, X., Zhang, X., Zhang, C., Luo, Z., Wang, H., Sterling, N., & Guan, H. (2019). Improvement of a simplified process-based model for estimating transpiration under water-limited conditions. Hydrological Processes, 33(12), 1670–1685. https://doi.org/10.1002/hyp.13430
Nehemy, M. F., Benettin, P., Asadollahi, M., Pratt, D., Rinaldo, A., & McDonnell, J. J. (2019). How plant water status drives tree source water partitioning. Hydrology and Earth System Sciences Discussions, 1–26. https://doi.org/10.5194/hess-2019-528
Pasquier, C. (2019). Exploration des mécanismes de résistance et de survie au stress hydrique extrême du Dactyle aggloméré, une poacée prairiale [Report, Institut Universitaire de Technologie d’Aix Marseille (IUT Aix Marseille), FRA.]. https://hal.inrae.fr/hal-02789550

2018

Caplan, D. M. (2018). Propagation and Root Zone Management for Controlled Environment Cannabis Production [Doctor of Philosophy, University of Guelph]. http://hdl.handle.net/10214/14249
Catalán, M. M. (2018). Investigating Various Continuous Measures Of Plant Water Status For Avocado Trees To Guide Irrigation Scheduling [Master of Science Degree, California State University]. https://scholarworks.calstate.edu/downloads/4q77fs09r
Cuellar-Murcia, C. A., & Suárez-Salazar, J. C. (2018). Sap flow and water potential in tomato plants (Solanum lycopersicum L.) under greenhouse conditions/Flujo de savia y potencial hídrico en plantas de tomate (Solanum lycopersicum L.) bajo condiciones de invernadero. Revista Colombiana de Ciencias Hortícolas, 12, 104–112. https://doi.org/10.17584/rcch.2018v12i1.7316
Milliron, L. K., Olivos, A., Saa, S., Sanden, B. L., & Shackel, K. A. (2018). Dormant stem water potential responds to laboratory manipulation of hydration as well as contrasting rainfall field conditions in deciduous tree crops. Biosystems Engineering, 165, 2–9. https://doi.org/10.1016/j.biosystemseng.2017.09.001
Pfautsch, S., Aspinwall, M. J., Drake, J. E., Chacon-Doria, L., Langelaan, R. J. A., Tissue, D. T., Tjoelker, M. G., & Lens, F. (2018). Traits and trade-offs in whole-tree hydraulic architecture along the vertical axis of Eucalyptus grandis. Annals of Botany, 121(1), 129–141. https://doi.org/10.1093/aob/mcx137
Quick, D. D., Espino, S., Morua, M. G., & Schenk, H. J. (2018). Effects of thermal gradients in sapwood on stem psychrometry. Acta Horticulturae, 23–30. https://doi.org/10.17660/ActaHortic.2018.1197.4
Rahima, S.-B. (2018). Dynamic monitoring of water status of plants in the fields under environmental stress : Design of a portable NMR and applied to sorghum [Phdthesis, Université Montpellier]. https://tel.archives-ouvertes.fr/tel-02139254
Rodriguez-Dominguez, C. M., Murphy, M. R. C., Lucani, C., & Brodribb, T. J. (2018). Mapping xylem failure in disparate organs of whole plants reveals extreme resistance in olive roots. New Phytologist, 218(3), 1025–1035. https://doi.org/10.1111/nph.15079
Steppe, K., Vandegehuchte, M. W., Van de Wal, B. A. E., Hoste, P., Guyot, A., Lovelock, C. E., & Lockington, D. A. (2018). Direct uptake of canopy rainwater causes turgor-driven growth spurts in the mangrove Avicennia marina. Tree Physiology, 38(7), 979–991. https://doi.org/10.1093/treephys/tpy024
Stoochnoff, J. A., Graham, T., & Dixon, M. A. (2018). Drip irrigation scheduling for container grown trees based on plant water status. Irrigation Science, 36(3), 179–186. https://doi.org/10.1007/s00271-018-0575-y
Stoochnoff, J. A., Tran, N., Graham, T., & Dixon, M. A. (2018). Irrigation scheduling strategies to reduce the environmental impact of Ontario’s ornamental nurseries. Acta Horticulturae, 183–188. https://doi.org/10.17660/ActaHortic.2018.1222.24
Tran, N., Stoochnoff, J., Graham, T., Downey, A., & Dixon, M. (2018). Irrigation management to enhance the quality, efficiency, and survival of transplanted nursery trees. Acta Horticulturae, 447–452. https://doi.org/10.17660/ActaHortic.2018.1205.54

2017

Al-Mulla, Y. A., Siddiqi, S., McCann, I., Belhaj, M., & Al-Busaidi, H. (2017). Integrating new technologies into the effective planning of irrigation schedules towards efficient water use and minimum loss. Acta Horticulturae, 67–74. https://doi.org/10.17660/ActaHortic.2017.1150.10
Cardoso, A. Á. (2017). Hydraulic and chemical mechanisms controlling stomatal and xylem responses to changes in vapor pressure deficit [Universidade Federal de Viçosa]. https://locus.ufv.br//handle/123456789/24785
Charrier, G., Burlett, R., Gambetta, G. A., Delzon, S., Domec, J. C., & Beaujard, F. (2017). Monitoring Xylem Hydraulic Pressure in Woody Plants. Bio-Protocol, 7(20), e2580. https://doi.org/10.21769/BioProtoc.2580
Deng, Z., Guan, H., Hutson, J., Forster, M. A., Wang, Y., & Simmons, C. T. (2017). A vegetation-focused soil-plant-atmospheric continuum model to study hydrodynamic soil-plant water relations. Water Resources Research, 53(6), 4965–4983. https://doi.org/10.1002/2017WR020467
Hodgson-Kratky, K. J. M., Stoffyn, O. M., & Wolyn, D. J. (2017). Recurrent Selection for Improved Germination under Water Stress in Russian Dandelion. Journal of the American Society for Horticultural Science, 142(2), 85–91. https://doi.org/10.21273/JASHS03941-16
Jerszurki, D., Couvreur, V., Maxwell, T., Silva, L. de C. R., Matsumoto, N., Shackel, K., de Souza, J. L. M., & Hopmans, J. (2017). Impact of root growth and hydraulic conductance on canopy carbon-water relations of young walnut trees (Juglans regia L.) under drought. Scientia Horticulturae, 226, 342–352. https://doi.org/10.1016/j.scienta.2017.08.051
Reddy, K. S., Sekhar, K. M., & Reddy, A. R. (2017). Genotypic variation in tolerance to drought stress is highly coordinated with hydraulic conductivity–photosynthesis interplay and aquaporin expression in field-grown mulberry (Morus spp.). Tree Physiology, 37(7), 926–937. https://doi.org/10.1093/treephys/tpx051
Stemeroff, J. (2017). Irrigation management strategies for medical cannabis in controlled environments [Master of Science Degree, University of Guelph]. http://hdl.handle.net/10214/12125

2016

Charrier, G., Torres-Ruiz, J. M., Badel, E., Burlett, R., Choat, B., Cochard, H., Delmas, C. E. L., Domec, J.-C., Jansen, S., King, A., Lenoir, N., Martin-StPaul, N., Gambetta, G. A., & Delzon, S. (2016). Evidence for Hydraulic Vulnerability Segmentation and Lack of Xylem Refilling under Tension. Plant Physiology, 172(3), 1657–1668. https://doi.org/10.1104/pp.16.01079
Gonzalez-Fuentes, J. A., Shackel, K., Heinrich Lieth, J., Albornoz, F., Benavides-Mendoza, A., & Evans, R. Y. (2016). Diurnal root zone temperature variations affect strawberry water relations, growth, and fruit quality. Scientia Horticulturae, 203, 169–177. https://doi.org/https://doi.org/10.1016/j.scienta.2016.03.039
Liu, N., Guan, H., Luo, Z., Zhang, C., Wang, H., & Zhang, X. (2016). Examination of a coupled supply- and demand-induced stress function for root water uptake modeling. Hydrology Research, 48(1), 66–76. https://doi.org/10.2166/nh.2016.173
Quick, D. D. (2016). Continuous measurements of water status in deeply rooted Southern California chaparral shrub species [Master of Science Degree]. California State University, Fullerton.
Salamanca-Jimenez, A., Doane, T. A., & Horwath, W. R. (2016). Performance of Coffee Seedlings as Affected by Soil Moisture and Nitrogen Application. In D. L. Sparks (Ed.), Advances in Agronomy (Vol. 136, pp. 221–244). Academic Press. https://www.sciencedirect.com/science/article/pii/S0065211315001509
Tran, N. (2016). Irrigation scheduling based on cumulative vapour pressure deficit to predict nursery tree water stress [Master of Science Degree, University of Guelph]. http://hdl.handle.net/10214/9615
Wang, H., Guan, H., & Simmons, C. T. (2016). Modeling the environmental controls on tree water use at different temporal scales. Agricultural and Forest Meteorology, 225, 24–35. https://doi.org/10.1016/j.agrformet.2016.04.016

2015

De Belder, A. (2015). Comparison of different dendrometers and LVDT-sensors in laboratory and field conditions. [Master, University of Ghent]. https://libstore.ugent.be/fulltxt/RUG01/002/217/207/RUG01-002217207_2015_0001_AC.pdf
Deng, Z. (2015). Examination of Hydrodynamic Soil-Plant Water Relations With a New SPAC Model and Remote Sensing Experiments [Doctorate of Philosophy, Flinders University, School of the Environment.]. https://flex.flinders.edu.au/file/dfeb526e-89a2-4be6-ae23-ab9ff1837d39/1/ThesisDeng2015.pdf
Forster, M. (2015). Measuring water stress for irrigation efficiency. Irrigation Australia: The Official Journal of Irrigation Australia. https://search.informit.org/doi/abs/10.3316/INFORMIT.201053890291709
Milliron, L. K. (2015). Dormant stem water potential responds to cycles of hydration as well as changing environmental conditions in deciduous tree crops [Master of Science Degree]. University of California, Davis.
Tran, N., Bam, P., Black, K., Graham, T., Ping Zhang, Dixon, M., Reeves, B., & Downey, A. (2015). Improving Irrigation Scheduling Protocols for Nursery Trees By Relating Cumulative Water Potential To Concurrent Vapour Pressure Deficit. Acta Horticulturae, 129–134. https://doi.org/10.17660/ActaHortic.2015.1085.22

2014

Vandegehuchte, M. W., Guyot, A., Hubeau, M., De Swaef, T., Lockington, D. A., & Steppe, K. (2014). Modelling reveals endogenous osmotic adaptation of storage tissue water potential as an important driver determining different stem diameter variation patterns in the mangrove species Avicennia marina and Rhizophora stylosa. Annals of Botany, 114(4), 667–676. https://doi.org/10.1093/aob/mct311
Vandegehuchte, M. W., Guyot, A., Hubau, M., De Groote, S. R. E., De Baerdemaeker, N. J. F., Hayes, M., Welti, N., Lovelock, C. E., Lockington, D. A., & Steppe, K. (2014). Long-term versus daily stem diameter variation in co-occurring mangrove species: Environmental versus ecophysiological drivers. Agricultural and Forest Meteorology, 192–193, 51–58. https://doi.org/10.1016/j.agrformet.2014.03.002
Wang, H., Guan, H., Deng, Z., & Simmons, C. T. (2014). Optimization of canopy conductance models from concurrent measurements of sap flow and stem water potential on Drooping Sheoak in South Australia. Water Resources Research, 50(7), 6154–6167. https://doi.org/10.1002/2013WR014818

2013 and earlier

Patankar, R., Quinton, W. L., & Baltzer, J. L. (2013). Permafrost-driven differences in habitat quality determine plant response to gall-inducing mite herbivory. Journal of Ecology, 101(4), 1042–1052. https://doi.org/10.1111/1365-2745.12101
Vandegehuchte, M., Guyot, A., Lockington, D., & Steppe, K. (2013). Stem diameter variation: endogenous regulation versus environmental dynamics and its implication for functional modelling. 7th International Conference on Functional-Structural Plant Models, 153–155. https://ojs.silvafennica.fi/index.php/fspm2013/article/view/709
Yang, Y., Guan, H., Hutson, J. L., Wang, H., Ewenz, C., Shang, S., & Simmons, C. T. (2013). Examination and parameterization of the root water uptake model from stem water potential and sap flow measurements. Hydrological Processes, 27(20), 2857–2863. https://doi.org/10.1002/hyp.9406
Hoste, P. (2011). Ecophysiology of mangrove in Australia: Hydraulic functioning. University of Ghent.
Dixon, M. A., & Tyree, M. T. (1984). A new stem hygrometer, corrected for temperature gradients and calibrated against the pressure bomb. Plant, Cell & Environment, 7(9), 693–697. https://doi.org/10.1111/1365-3040.ep11572454

 


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