Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019
The livestock product consumption per capita in China has almost doubled in the past three decades. The planting of green fodder has increased in the agropastoral ecotone of China to meet the increasing demand for livestock feed, and the green fodder expansion can have subsequent consequences on the...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S030324342100101X |
| _version_ | 1811328850131419136 |
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| author | Tong Yang Geli Zhang Yuzhe Li Jiangwen Fan Danfeng Sun Jie Wang Yuanyuan Di Nanshan You Ruoqi Liu Qiang Zhang Russell B. Doughty |
| author_facet | Tong Yang Geli Zhang Yuzhe Li Jiangwen Fan Danfeng Sun Jie Wang Yuanyuan Di Nanshan You Ruoqi Liu Qiang Zhang Russell B. Doughty |
| author_sort | Tong Yang |
| collection | DOAJ |
| description | The livestock product consumption per capita in China has almost doubled in the past three decades. The planting of green fodder has increased in the agropastoral ecotone of China to meet the increasing demand for livestock feed, and the green fodder expansion can have subsequent consequences on the environment. However, information on the area and distribution of green fodder is very limited. Here, we developed a pixel- and phenology-based algorithm to map green fodder and track its dynamics in the northeastern Tibetan Plateau, a typical alpine pasture region in China, using all the available Landsat images and Google Earth Engine (GEE). We developed a simple approach for the rapid identification of green fodder fields by using a new green fodder index that considers the unique phenology of green fodder, which has higher greenness and water content in the late growing season than other vegetation. A total of 858 Landsat images were used to generate green fodder maps in northeastern Tibetan Plateau (including Zeku, Guinan, and Tongde Counties) in three periods (circa 2010, 2015, and 2019). The overall accuracies of our green fodder maps were 93–97% and the Matthews correlation coefficients were 0.76–0.83. We found a rapid expansion of green fodder from 16.3 km2 in 2010 to 136.1 km2 in 2019. Newly cultivated green fodder occurred in both existing croplands and natural grasslands. Our study demonstrated the potential of the phenology-based approach, all the available Landsat images, and GEE for tracing the historical dynamics of green fodder at 30-m resolution in alpine regions. Our findings advance our understanding of changes in forage area, production, the supply–demand gap, and the ecological and climatic consequences of green fodder expansion. |
| first_indexed | 2024-04-13T15:33:25Z |
| format | Article |
| id | doaj.art-af7517aea13147f198d6f5d46374cae8 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-13T15:33:25Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-af7517aea13147f198d6f5d46374cae82022-12-22T02:41:20ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-10-01102102394Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019Tong Yang0Geli Zhang1Yuzhe Li2Jiangwen Fan3Danfeng Sun4Jie Wang5Yuanyuan Di6Nanshan You7Ruoqi Liu8Qiang Zhang9Russell B. Doughty10College of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China; Corresponding author at: College of Land Science and Technology, China Agricultural University, Beijing 100193, China..Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaCollege of Grassland Science and Technology, China Agricultural University, Beijing 100193, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USAThe livestock product consumption per capita in China has almost doubled in the past three decades. The planting of green fodder has increased in the agropastoral ecotone of China to meet the increasing demand for livestock feed, and the green fodder expansion can have subsequent consequences on the environment. However, information on the area and distribution of green fodder is very limited. Here, we developed a pixel- and phenology-based algorithm to map green fodder and track its dynamics in the northeastern Tibetan Plateau, a typical alpine pasture region in China, using all the available Landsat images and Google Earth Engine (GEE). We developed a simple approach for the rapid identification of green fodder fields by using a new green fodder index that considers the unique phenology of green fodder, which has higher greenness and water content in the late growing season than other vegetation. A total of 858 Landsat images were used to generate green fodder maps in northeastern Tibetan Plateau (including Zeku, Guinan, and Tongde Counties) in three periods (circa 2010, 2015, and 2019). The overall accuracies of our green fodder maps were 93–97% and the Matthews correlation coefficients were 0.76–0.83. We found a rapid expansion of green fodder from 16.3 km2 in 2010 to 136.1 km2 in 2019. Newly cultivated green fodder occurred in both existing croplands and natural grasslands. Our study demonstrated the potential of the phenology-based approach, all the available Landsat images, and GEE for tracing the historical dynamics of green fodder at 30-m resolution in alpine regions. Our findings advance our understanding of changes in forage area, production, the supply–demand gap, and the ecological and climatic consequences of green fodder expansion.http://www.sciencedirect.com/science/article/pii/S030324342100101XGreen fodder mappingPixel- and phenology-based approachGoogle Earth Engine (GEE)LandsatNortheastern Tibetan PlateauRapid expansion |
| spellingShingle | Tong Yang Geli Zhang Yuzhe Li Jiangwen Fan Danfeng Sun Jie Wang Yuanyuan Di Nanshan You Ruoqi Liu Qiang Zhang Russell B. Doughty Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 International Journal of Applied Earth Observations and Geoinformation Green fodder mapping Pixel- and phenology-based approach Google Earth Engine (GEE) Landsat Northeastern Tibetan Plateau Rapid expansion |
| title | Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 |
| title_full | Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 |
| title_fullStr | Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 |
| title_full_unstemmed | Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 |
| title_short | Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019 |
| title_sort | satellite observed rapid green fodder expansion in northeastern tibetan plateau from 2010 to 2019 |
| topic | Green fodder mapping Pixel- and phenology-based approach Google Earth Engine (GEE) Landsat Northeastern Tibetan Plateau Rapid expansion |
| url | http://www.sciencedirect.com/science/article/pii/S030324342100101X |
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