Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains
文献类型：期刊论文
| 作者 | Zhang, Hongbo5,6,7,8; Zhang, Fan3,4; Luo, Lun2; Yan, Wei1; Zhang, Longhui8; Li, Ziying7,8 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2025-03-15 |
| 卷号 | 363页码:110406 |
| 关键词 | Altitudinal gradient of land surface temperature Spatial and temporal driver Snow cover gradient Vegetation cover gradient Tibetan Plateau Asia high mountains |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2025.110406 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | The land surface temperature gradient (LSTG) serves as a key indicator of mountain thermal patterns that critically influences hydrological and ecological processes in mountainous regions. However, our understanding of LSTG across the Asian high mountains (AHM) is limited due to sparse observations and unexplored influences of surface characteristic heterogeneity within the grid used for LSTG calculation. Using a novel gridded dataset of monthly LSTG with improved local reliability, this study firstly uncovers significant spatiotemporal variations in AHM LSTGs. Then, employing an explainable machine learning approach coupled with surface energy balance analyses, we investigate the effects of ten environmental factors, including sub-grid gradients of snow, cloud, and vegetation cover. Our results reveal that spatial variations of annual LSTGs are predominantly driven by downward longwave radiation and sub-grid snow cover gradient index (SGI), with SGI dominating during cold months (April-November) due to the substantial cooling effects of snow at higher elevations. Seasonally, three distinct LSTG patterns are detected: Spring-unimodal (21.0% of the study area), characterized by a single peak in spring; Summer-unimodal (25.2%), with a single peak in summer; and Spring-Autumn-bimodal (34.6%), showing two peaks in spring and autumn. These patterns are closely linked to local snow cover dynamics, with SGI playing a critical role in shaping the Spring-unimodal and Spring-Autumn-bimodal patterns through snowalbedo feedback, while surface net radiation primarily drives the Summer-unimodal pattern. Interannually, most of the significant LSTG trends are decreasing, mainly attributed to accelerated snow cover depletion at higher elevations, while increased vegetation cover gradient is the main contributor to increasing LSTGs. These findings highlight the importance of considering fine-scale surface heterogeneity in understanding mountain climate dynamics. The results also inform future research on integrating LSTG into ecological, agricultural, and hydrological models to better predict climate change impacts on high-mountain ecosystems. |
| URL标识 | 查看原文 |
| WOS关键词 | ESSENTIAL CLIMATE VARIABLES ; AIR-TEMPERATURE ; LAPSE RATES ; TIBETAN PLATEAU ; SOUTHERN SLOPES ; GEOV1 LAI ; MODIS LST ; CHINA ; VALIDATION ; IMPACTS |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001421642600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212289]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Zhang, Fan |
| 作者单位 | 1.Xinyang Normal Univ, Sch Geog Sci, Xinyang, Peoples R China 2.Res Ctr Appl Geol China Geol Survey, Middle Yarlung Zangbo River Nat Resources Observat, Chengdu 610036, Peoples R China; 3.Univ Chinese Acad Sci, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resources, Beijing, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China; 6.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Xinjiang Key Lab Water Cycle & Utilizat Arid Zone, Urumqi 830011, Peoples R China; 7.China Agr Univ, Coll Water Resources & Civil Engn, Beijing, Peoples R China; 8.China Agr Univ, State Key Lab Efficient Utilizat Agr Water Resourc, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang, Hongbo,Zhang, Fan,Luo, Lun,et al. Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains[J]. AGRICULTURAL AND FOREST METEOROLOGY,2025,363:110406. |
| APA | Zhang, Hongbo,Zhang, Fan,Luo, Lun,Yan, Wei,Zhang, Longhui,&Li, Ziying.(2025).Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains.AGRICULTURAL AND FOREST METEOROLOGY,363,110406. |
| MLA | Zhang, Hongbo,et al."Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains".AGRICULTURAL AND FOREST METEOROLOGY 363(2025):110406. |
入库方式： OAI收割
来源：地理科学与资源研究所
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