Underestimated shrubland distribution in the Eurasian drylands
文献类型：期刊论文
| 作者 | Liu, Li1,2,4; Zhang, Yangjian1,2,3; Zheng, Zhoutao1; Zhao, Guang1; Cong, Nan1; Liu, Huanhuan1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 146页码:105144 |
| 关键词 | Multi-strategy sampling framework Phenology-based classification Shrubland mapping Eurasian arid region |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2026.105144 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The arid and semi-arid regions of the Eurasian continent (the Eurasian arid region) are home to extensive shrublands and these shrublands are critical components of the regional biomes. However, identifying shrublands and distinguishing them from grasslands via remote sensing remains challenging due to their spectral and phenological similarity, as evidenced by the varying distribution areas and patterns of shrublands across each common land cover product. To address this, we combined a multi-strategy sampling framework with a phenology-pixel-based method to map shrubland distribution in the arid Eurasian region. We achieved a mean F1 score of 67.05%, notably higher than that of existing global land cover datasets. The total mapped shrubland area is approximately 427,643 km2, exhibiting a clear latitudinal peak (30 degrees-50 degrees N) and multimodal longitudinal distribution pattern. In different biomes, climatic conditions-moisture or temperature-regulate the optimal phenological windows by driving functional trait divergence between shrubland and grassland. Background shrubland cover strongly determines identification accuracy. When shrubland coverage exceeds 60%, mapping accuracy shifts from detectable to reliable. Below this threshold, classification accuracy is limited by phenological noise and topography interference, whereas above it, canopy continuity enhances spectral separability and reduces terrain-related noise. This study demonstrates that shrub coverage, phenological timing, and terrain collectively regulate mapping accuracy. The phenology-optimized classification framework significantly outperforms existing common shrubland distribution datasets, especially in complex microtopography and transition zones. Improved shrubland mapping is critical for evaluating ecosystem health and investigating carbon cycling in arid regions. |
| URL标识 | 查看原文 |
| WOS关键词 | GLOBAL LAND-COVER ; RANDOM FOREST ; SAMPLE SET ; CLASSIFICATION ; DYNAMICS ; CHINA ; VARIABILITY ; VALIDATION ; PHENOLOGY ; PRODUCT |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001688360800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221012]  |
| 专题 | 拉萨站高原生态系统研究中心_外文论文 |
| 通讯作者 | Zhang, Yangjian |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China; 3.Hebei Univ, Inst Life Sci & Green Dev, Sch Life Sci, Baoding, Hebei, Peoples R China; 4.Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Li,Zhang, Yangjian,Zheng, Zhoutao,et al. Underestimated shrubland distribution in the Eurasian drylands[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2026,146:105144. |
| APA | Liu, Li,Zhang, Yangjian,Zheng, Zhoutao,Zhao, Guang,Cong, Nan,&Liu, Huanhuan.(2026).Underestimated shrubland distribution in the Eurasian drylands.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,146,105144. |
| MLA | Liu, Li,et al."Underestimated shrubland distribution in the Eurasian drylands".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 146(2026):105144. |
入库方式： OAI收割
来源：地理科学与资源研究所
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