Mapping change in key soil properties due to climate change over south-eastern Australia

Gray, Jonathan; Bishop, Thomas

doi:10.1071/sr18139

Cited by 11 publications

(6 citation statements)

References 64 publications

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“…This finding is not entirely surprising, as the SFT method considering tree‐based models is likely to result in anomalies in the final predictions (Gray & Bishop, 2016). Our findings are consistent with a previous study (Gray & Bishop, 2019) in which the MLR approach was successfully applied to map SOC changes, suggesting that the MLR approach may be suitable for the development of the SFT method to model SOC changes.…”

Section: Discussionsupporting

confidence: 92%

A preliminary assessment of the space‐for‐time substitution method in soil carbon change prediction

Yang

Zhu

Xin

et al. 2022

Soil Science Soc of Amer J

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Prediction of the soil C response to environmental change is often limited by the absence of temporal soil monitoring data from which applicable models can be developed. This constrains the understanding of the processes governing soil C cycling in data‐poor areas. Here, we demonstrate a method to predict soil organic C (SOC) change over time based on the space‐for‐time (SFT) substitution method by constructing spatial and temporal datasets of SOC change from soil datasets pertaining to four periods over the past 40 yr in China. We empirically test the assumption that environmental drivers of the spatial gradients of SOC variation also drive SOC change over time. We find that the accuracy of SOC change predictions obtained with the SFT method is comparable to that of predictions directly obtained with temporal models, with the prediction performance ranging from 86 to 118%. Our results generally support the application of the SFT method to model SOC dynamics over time and highlight the importance of this method to better understand soil C cycling in ecosystems associated with insufficient soil monitoring data. Our findings provide a priori guidance for the suitability of the SFT method as an approach to infer the soil C response to environmental change.

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Section: Discussionsupporting

confidence: 92%

A preliminary assessment of the space‐for‐time substitution method in soil carbon change prediction

Yang

Zhu

Xin

et al. 2022

Soil Science Soc of Amer J

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“…The K‐factor was estimated based on Yang et al . () using the recent digital soil maps and soil property projections including soil texture and organic matter (Grundy et al ., ; Gray et al ., ; Gray and Bishop, ). The LS‐factor was calculated from the 30 m DEM (SRTM) based on a comprehensive method as described in Yang ().…”

Section: Methodsmentioning

confidence: 99%

“…In addition, the soil property projections for NSW such as soil organic carbon were obtained from Gray and Bishop () and used to calculate soil erodibility based on Yang et al . ().…”

Section: Study Area and Data Setsmentioning

confidence: 99%

Extreme rainfall, rainfall erosivity, and hillslope erosion in Australian Alpine region and their future changes

Zhu

Yang

et al. 2019

Intl Journal of Climatology

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The Australian Alpine region is highly vulnerable to extreme climate events such as heavy rainfall and snow falls, these events subsequently impact rainfall erosivity and hillslope erosion in the region. In this study, the relationship between extreme rainfall indices (ERIs) and rainfall erosivity was examined across the Alpine region in New South Wales (NSW) and Australian Capital Territory (ACT) and the surrounding areas including Murray and Murrumbidgee and South East and Tablelands (SET). Rainfall erosivity, hillslope erosion, and their changes were estimated in the future periods using the revised universal soil loss equation and the NSW/ACT Regional Climate Modeling (NARCliM) projections. Results from the study demonstrate a good relationship between ERIs (especially Rx5Day) and rainfall erosivity. The rainfall erosivity and hillslope erosion are projected to increase about 2 and 8% for the near future (2020–2039), further increase to 8 and 18% for the far future (2060–2079) in the Alpine region assuming the groundcover is maintained at the current condition. The change in rainfall erosivity and erosion risk is highly uneven in space and in season with the highest erosion risk in summer with an increase about 33% in the next 50 years. The highest erosion risk area is predicted within SET (maximum rate 19.95 Mg ha−1 year−1), but on average, the ACT has the highest erosion rate, which is above 1.36 Mg ha−1 year−1 in all periods. The snowmelt in spring in the Alpine region is estimated to increase the rainfall erosivity by 13% in the baseline period, up to 24% in the near future, but far less (about 1%) in the far future due to predicted temperature rise and less snow available in the Alpine region in the next 50 years.

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“…However, the net balance between carbon loss and gain from primary productivity is currently unknown (Davidson & Janssens 2006). More recently, Gray and Bishop (2019) projected SOC losses to 2070 exceeding 20 tC ha −1 (0–30 cm) in the southern alpine regions of NSW and Victoria. Climate change is expected to particularly impact the most carbon‐rich peat soils (Organosols) (Grover & Baldock 2010, 2012), although the net effect on the more extensive alpine humus and transitional alpine humus soils is also likely to be significant.…”

Section: Pressures and Threats To Soils In The Australian Alpsmentioning

confidence: 99%

Distribution, nature and threats to soils of the Australian Alps: A review

et al. 2021

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The Australian Alps contain an assemblage of soil types that is unique on the Australian continent. The above‐ground ecosystems of the Australian Alps have received considerable scientific attention but research relating to the nature of its soils has been much more limited. A fuller understanding of the role of soils in these ecosystems is required to inform effective management strategies. This review was undertaken to assess existing research on soils in the Australian Alps. We aimed to summarise our current knowledge of their nature, distribution and characteristics, to examine the services they provide and to assess their vulnerability to the range of threats that exist to the soil resource both local and external. Soils of higher elevations, namely Transitional Alpine Humus Soils, Alpine Humus Soils and upland Peat Soils are particularly important to the ecology, hydrology and potential carbon storage of the region, yet our understanding of the nature, formation and functioning of these soil types remains weak. A series of knowledge gaps and research priorities are identified, relating to basic knowledge needs on the formation, distribution and function of these soils, particularly their microbial populations and the impacts of specific threats (i.e. climate change, grazing, fire, visitors, infrastructure, feral animals and pollution).

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Mapping change in key soil properties due to climate change over south-eastern Australia

Cited by 11 publications

References 64 publications

A preliminary assessment of the space‐for‐time substitution method in soil carbon change prediction

A preliminary assessment of the space‐for‐time substitution method in soil carbon change prediction

Extreme rainfall, rainfall erosivity, and hillslope erosion in Australian Alpine region and their future changes

Distribution, nature and threats to soils of the Australian Alps: A review

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