Jonathan Gray

Dr. Jonathan Gray


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2015 in Soil Science Society of America Journal
Verified
Journal Article
Closed access
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JGJonathan Gray
Jonathan Gray
TBT.F.A. Bishop
T.F.A. Bishop
BWBrian Wilson
Brian Wilson

1 December 2016 in CATENA
Verified
Journal Article
Closed access
JGJonathan Gray
Jonathan Gray
TBT.F.A. Bishop
T.F.A. Bishop
JWJohn R. Wilford
John R. Wilford

1 May 2009 in Geoderma
Verified
Journal Article
Closed access
JGJonathan Gray
Jonathan Gray
GHG.S. Humphreys
G.S. Humphreys
JDJ.A. Deckers
J.A. Deckers

29 September 2016 in Soil Science Society of America Journal
Verified
Journal Article
Open access
PDF file
JGJonathan Gray
Jonathan Gray
TBT.F.A. Bishop
T.F.A. Bishop
Core Ideas: Potential changes in soil organic C to 2070 mapped (100‐m grid) and examined. The direction and magnitude of change varied between the 12 climate projections. Differing changes revealed for 36 current climate–parent material–land use regimes. Digital soil mapping–space‐for‐time substitution is useful for climate change study Digital soil mapping (DSM) techniques combined with space‐for‐time substitution (SFTS) processes were used to map and examine soil organic carbon (SOC) changes caused by projected climate change over New South Wales, Australia until ∼2070. Twelve projections were derived from four global climate models downscaled with three regional climate models. A marked variation in the direction and magnitude of SOC change was demonstrated with the different projections. Mean state‐wide predictions (0–30 cm depth) ranged between 2.9 Mg ha ‐1 gain and 8.7 Mg ha ‐1 SOC loss. Greater consistency among climate change projections is required before we can confidently predict SOC changes. By using averaged results from the 12 projections, broad trends were revealed for the change in SOC over two intervals (0–30 and 30–100 cm). A mean loss rate of 2.0 Mg ha ‐1 for the upper interval was demonstrated and a total loss of 737 Tg of CO 2 equivalent for the entire depth to 100 cm but the 95% confidence interval was wide. Although changes are primarily controlled by the balance between changing temperatures and rainfall, the extent of change also depends on the environmental regime, with differing changes demonstrated over 36 current climate–parent material–land use combinations (e.g., projected mean SOC decline is 15 Mg ha ‐1 for wet–mafic–native vegetation). This DSM–SFTS technique offers a viable alternative to dynamic simulation techniques for predicting and identifying patterns in the change of soil properties caused by climate change.

1 January 2011 in Geoderma
Verified
Journal Article
Closed access
JGJonathan Gray
Jonathan Gray
GHGeoff S. Humphreys
Geoff S. Humphreys
JDJozef A. Deckers
Jozef A. Deckers

1 November 2019 in Geoderma
Verified
Journal Article
Closed access
JGJonathan Gray
Jonathan Gray
SKSenani Karunaratne
Senani Karunaratne
TBT.F.A. Bishop
T.F.A. Bishop
BWBrian Wilson
Brian Wilson
MVManoharan Veeragathipillai
Manoharan Veeragathipillai