Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture
文献类型：期刊论文
| 作者 | Yan, Gaowei1,2; Jiang, Luguang1,2; Liu, Ye2 |
| 刊名 | LAND
 |
| 出版日期 | 2025-07-07 |
| 卷号 | 14期号:7页码:1426 |
| 关键词 | crop identification Sentinel-2 water and land balance scenario simulation Altay Prefecture |
| DOI | 10.3390/land14071426 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The Altay oasis, located at the heart of the transnational ecological conservation zone shared by China, Kazakhstan, Russia, and Mongolia, is a region with tremendous potential for water resource utilization. However, with the continued expansion of agriculture, its ecological vulnerability has become increasingly pronounced. Within this fragile balance lies a critical opportunity: efficient water resource management could pave the way for sustainable development across the entire arid oasis regions. This study uses a decision tree model based on a feature threshold to map the spatial distribution of major crops in the Altay Prefecture oasis, assess their water requirements, and identify the coupling relationships between agricultural water and land resources. Furthermore, it proposed optimization planting structure strategies under three scenarios: water-saving irrigation, cash crop orientation, and forage crop orientation. In 2023, the total planting area of major crops in Altay Prefecture was 3368 km2, including spring wheat, spring maize, sunflower, and alfalfa, which consumed 2.68 x 109 m3 of water. Although this area accounted for only 2.85% of the land, it consumed 26.23% of regional water resources, with agricultural water use comprising as much as 82.5% of total consumption, highlighting inefficient agricultural water use as a critical barrier to sustainable agricultural development. Micro-irrigation technologies demonstrate significant water-saving potential. The adoption of such technologies could reduce water consumption by 14.5%, thereby significantly enhancing agricultural water-use efficiency. Cropping structure optimization analysis indicates that sunflower-based planting patterns offer notable water-saving benefits. Increasing the area of sunflower cultivation by one unit can unlock a water-saving potential of 25.91%. Forage crop combinations excluding soybean can increase livestock production by 30.2% under the same level of water consumption, demonstrating their superior effectiveness for livestock system expansion. This study provides valuable insights for achieving sustainable agricultural development in arid regions under different development scenarios. |
| URL标识 | 查看原文 |
| WOS关键词 | IRRIGATION ; SUNFLOWER ; EVAPOTRANSPIRATION ; CLASSIFICATION ; EVAPORATION ; QUALITY |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001535919000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215575]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Jiang, Luguang |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yan, Gaowei,Jiang, Luguang,Liu, Ye. Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture[J]. LAND,2025,14(7):1426. |
| APA | Yan, Gaowei,Jiang, Luguang,&Liu, Ye.(2025).Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture.LAND,14(7),1426. |
| MLA | Yan, Gaowei,et al."Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture".LAND 14.7(2025):1426. |
入库方式： OAI收割
来源：地理科学与资源研究所
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