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Implications of climate change on wind erosion of agricultural lands in the Columbia plateau

Sharratt, B.S., Tatarko, J., Abatzoglou, J.T., Fox, F.A., Huggins, D.·2015·Weather and Climate Extremes
DOI 10.1016/j.wace.2015.06.001
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Image 1
CC-BY-NC-ND · From the PDF
Fig. 1 Locations (solid circles) within the Columbia Plateau (shaded area) of northern Idaho, north-central Oregon, and eastern Washington where data were obtained in examining the impact of climate change on wind erosion.
Fig. 1 Locations (solid circles) within the Columbia Plateau (shaded area) of northern Idaho, north-central Oregon, and eastern Washington where data were obtained in examining the impact of climate change on wind erosion.CC-BY-NC-ND · From the PDF
Fig. 2 Seasonal average air temperature ( ° C) across Idaho, western Montana, Oregon, and Washington averaged over 18 Global Climate Models using historical and Representative Concentration Pathway 4.5 forcing for respectively 1970 -1999 and 2035 -2064. Air temperature is reported for winter (December -February), spring (March -May), summer (June -August) and autumn (September -November).
Fig. 2 Seasonal average air temperature ( ° C) across Idaho, western Montana, Oregon, and Washington averaged over 18 Global Climate Models using historical and Representative Concentration Pathway 4.5 forcing for respectively 1970 -1999 and 2035 -2064. Air temperature is reported for winter (December -February), spring (March -May), summer (June -August) and autumn (September -November).CC-BY-NC-ND · From the PDF
Image 4
CC-BY-NC-ND · From the PDF
Fig. 4 Seasonal average wind speed (m s 1 ) across Idaho, western Montana, Oregon, and Washington averaged over 18 Global Climate Models using historical and Representative Concentration Pathway 4.5 forcing for respectively 1970 -1999 and 2035 -2064. Wind speed is reported for winter (December -February), spring (March -May), summer (June -August) and autumn (September -November).
Fig. 4 Seasonal average wind speed (m s 1 ) across Idaho, western Montana, Oregon, and Washington averaged over 18 Global Climate Models using historical and Representative Concentration Pathway 4.5 forcing for respectively 1970 -1999 and 2035 -2064. Wind speed is reported for winter (December -February), spring (March -May), summer (June -August) and autumn (September -November).CC-BY-NC-ND · From the PDF
Fig. 5 Soil loss simulated by the Wind Erosion Prediction System across climates generated by 18 Global Climate Models for a winter wheat-summer fallow rotation on Ritzville silt loam subject to conventional tillage at Lind, WA. Annual soil loss is presented for the fallow phase of the rotation during 1970 -1999 and 2035 -2064 with each phase of the rotation simulated during the 30 years.
Fig. 5 Soil loss simulated by the Wind Erosion Prediction System across climates generated by 18 Global Climate Models for a winter wheat-summer fallow rotation on Ritzville silt loam subject to conventional tillage at Lind, WA. Annual soil loss is presented for the fallow phase of the rotation during 1970 -1999 and 2035 -2064 with each phase of the rotation simulated during the 30 years.CC-BY-NC-ND · From the PDF
Fig. 6 Soil loss simulated by the Wind Erosion Prediction System (WEPS) for a winter wheat-summer fallow rotation at Lacrosse, WA; Lind, WA; and Moro, OR during 1970 -1999 and 2035 -2064. Annual soil loss is presented for the fallow phase of the rotation with each phase of the rotation simulated during the 30 years. Soil loss at Lind, WA and Moro, OR is an average across two soil types. Soil loss simulated by WEPS represents an average (thick line) and range (thin lines) of loss across climate projections by 18 Global Climate Models.
Fig. 6 Soil loss simulated by the Wind Erosion Prediction System (WEPS) for a winter wheat-summer fallow rotation at Lacrosse, WA; Lind, WA; and Moro, OR during 1970 -1999 and 2035 -2064. Annual soil loss is presented for the fallow phase of the rotation with each phase of the rotation simulated during the 30 years. Soil loss at Lind, WA and Moro, OR is an average across two soil types. Soil loss simulated by WEPS represents an average (thick line) and range (thin lines) of loss across climate projections by 18 Global Climate Models.CC-BY-NC-ND · From the PDF

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Research works printed but not linked: 37

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Metadata

Authors
Sharratt, B. S., Tatarko, J., Abatzoglou, J. T., Fox, F. A., & Huggins, D.
Venue
Weather and Climate Extremes
Publisher
Elsevier BV
Published
2015-12
Volume
10
Pages
20-31
ISSN
2212-0947
DOI
10.1016/j.wace.2015.06.001
Cited by
45
References
0
Language
en
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