Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis
文献类型：期刊论文
| 作者 | Liu, Jinlian; Zhou, Xinyao; Tang, Hanya; Yan, Fengqin; Liu, Shiwei; Tang, Xuguang; Ding, Zhi; Jiang, Ke; Yu, Pujia |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2023-12-31 |
| 卷号 | 16期号:1页码:2941-2961 |
| 关键词 | Land surface temperature vegetation dynamics climate change land use contribution feedback |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2023.2241423 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Land surface temperature (LST), especially day-night LST difference (LSTd - LSTn), is a key variable for the stability of terrestrial ecosystems, affected by vegetation and climate change. Quantifying the contribution and feedback of vegetation and climate to LST changes is critical to developing mitigation strategies. Based on LST, Normalized vegetation index (NDVI), land use (LU), air temperature (AT) and precipitation (Pre) from 2003 to 2021, partial correlation was used to analyze the response of LST to vegetation and climate. The feedback and contribution of both to LST were further quantified by using spatial linear relationships and partial derivatives analysis. The results showed that both interannual LST (LSTy) and LSTd - LSTn responded negatively to vegetation, and vegetation had a negative feedback effect in areas with significantly altered. Vegetation was also a major contributor to the decline of LSTd - LSTn. With the advantage of positive partial correlation area of 94.99%, AT became the main driving factor and contributor to LSTy change trend. Pre contributed negatively to both LSTy and LSTd - LSTn, with contributions of -0.004 degrees C/y and -0.022 degrees C/ y, respectively. AT played a decisive role in LST warming of YRB, which was partially mitigated by vegetation and Pre. The present research contributed to the detection of LST changes and improved understanding of the driving mechanism. |
| WOS关键词 | URBAN HEAT-ISLAND ; CLIMATE-CHANGE ; TIME-SERIES ; MODIS LST ; IMPACT ; DYNAMICS ; TRENDS ; QUALITY ; CHINA ; CITY |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001046692300001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194490]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Southwest University - China 2.Chinese Academy of Sciences 3.Institute of Geographic Sciences & Natural Resources Research, CAS |
| 推荐引用方式 GB/T 7714 | Liu, Jinlian,Zhou, Xinyao,Tang, Hanya,et al. Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2023,16(1):2941-2961. |
| APA | Liu, Jinlian.,Zhou, Xinyao.,Tang, Hanya.,Yan, Fengqin.,Liu, Shiwei.,...&Yu, Pujia.(2023).Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),2941-2961. |
| MLA | Liu, Jinlian,et al."Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023):2941-2961. |
入库方式： OAI收割
来源：地理科学与资源研究所
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