Post‐socialist cropland changes and abandonment in Mongolia
Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite...
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Published in | Land degradation & development Vol. 29; no. 9; pp. 2808 - 2821 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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01.09.2018
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Abstract | Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies. |
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AbstractList | Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies. Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics ( R 2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies. Large‐scale cropland changes have significant implications for global and national food supply as well as degradation in land resources. We examined cropland dynamics at the national scale in Mongolia over the last three decades using Google Earth Engine cloud computing and 11,360 Landsat satellite images. Our overarching goal was to develop the first comprehensive, high‐resolution maps of Mongolia's cropland extent for two nominal years: 1990 at the peak of the socialist era production and 2014 after major socio‐political and economic regime changes. By comparing the two cropland maps, we estimate cropland changes and identify areas of post‐socialist cropland abandonment. Our cropland classifications produce high overall accuracies (overall weighted, statistical accuracies of 98% and 97%, respectively), and the cropland area estimates compare well with county‐level crop area statistics (R2 = 0.91, p value < .001). We estimate 38% cropland decline in Mongolia throughout the major crop regions but 18% increase in the central region due to increased concentration of crop production. The observed large‐scale cropland abandonment would be expected to result in substantial land conversion to rangelands as well as land degradation in the abandoned fields, including soil erosion, increased contribution to desertification, and reduced species diversity. Future studies can monitor the long‐term trajectory in the abandoned crop fields and recommend targeted restoration strategies. |
Author | Yadav, Kamini Massey, Richard Tilton, James C. Sankey, Temuulen Tsagaan Congalton, Russell G. |
Author_xml | – sequence: 1 givenname: Temuulen Tsagaan orcidid: 0000-0002-6919-8428 surname: Sankey fullname: Sankey, Temuulen Tsagaan email: temuulen.sankey@nau.edu organization: Northern Arizona University – sequence: 2 givenname: Richard orcidid: 0000-0002-4831-8718 surname: Massey fullname: Massey, Richard organization: Northern Arizona University – sequence: 3 givenname: Kamini surname: Yadav fullname: Yadav, Kamini organization: University of New Hampshire – sequence: 4 givenname: Russell G. orcidid: 0000-0003-3891-2163 surname: Congalton fullname: Congalton, Russell G. organization: University of New Hampshire – sequence: 5 givenname: James C. orcidid: 0000-0003-2013-6389 surname: Tilton fullname: Tilton, James C. organization: NASA Goddard Space Flight Center |
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CitedBy_id | crossref_primary_10_1016_j_rse_2020_112223 crossref_primary_10_1016_j_foodpol_2023_102468 crossref_primary_10_1016_j_jenvman_2023_119909 crossref_primary_10_3390_agriculture11090888 crossref_primary_10_3390_rs14081805 crossref_primary_10_3390_rs13051036 crossref_primary_10_1016_j_jclepro_2023_138625 crossref_primary_10_1002_ldr_3976 crossref_primary_10_1016_j_jclepro_2022_132175 crossref_primary_10_1016_j_apgeog_2020_102245 crossref_primary_10_1002_ldr_3617 crossref_primary_10_1002_rse2_186 |
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SubjectTerms | Abandonment Agricultural economics Agricultural land Agricultural production Biodiversity Cloud computing Crop fields Crop production cropland abandonment cropland extent Crops decadal‐scale change Desertification Food supply Google Earth Engine Land degradation Land resources Land use Landsat Landsat satellites Rangelands Remote sensing Restoration strategies Satellite imagery Satellites Soil erosion Species diversity |
Title | Post‐socialist cropland changes and abandonment in Mongolia |
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