| 引用本文: | 宋京徽,张同文,刘艳,喻树龙,姜盛夏,如先古丽·阿不都热合曼,侯天皓,郭冬.2025.基于树轮资料的我国植被遥感指数研究现状与展望[J].地球环境学报,16(1):20-30, 65 |
| SONG Jinghui,ZHANG Tongwen,LIU Yan,YU Shulong,JIANG Shengxia,Ruxianguli·ABUDOUREHEMAN,HOU Tianhao,GUO Dong.2025.Vegetation remote sensing index studies in China on the basis of tree-ring information: current status and prospects[J].Journal of Earth Environment,16(1):20-30, 65 |
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| 基于树轮资料的我国植被遥感指数研究现状与展望 |
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宋京徽1, 2，张同文2, 4*，刘艳2，喻树龙2，姜盛夏2，如先古丽·阿不都热合曼2, 3，侯天皓 2, 3，郭冬1, 2
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1. 新疆大学 地理与遥感科学学院，乌鲁木齐 830046
2. 中国气象局乌鲁木齐沙漠气象研究所，乌鲁木齐 830002
3. 新疆师范大学 地理科学与旅游学院，乌鲁木齐 830054
4. 新疆维吾尔自治区气候中心，乌鲁木齐 830002
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| 摘要: |
| 利用遥感手段获取的归一化植被指数（NDVI）是反映植被变化的良好指标，但目前遥感观测时间较短，单独使用时难以反映长期植被变化特征。而基于树木年轮资料开展NDVI历史变化重建研究，可在一定程度上弥补现有NDVI数据时间序列长度的不足。基于树轮资料重建NDVI从植被类型、树轮参数、研究区等方面对国内研究进行综合分析。从树轮参数来看，树轮宽度为主要的代用指标，样地年表与NDVI的相关性高于单个样点年表与NDVI的相关性。从植被类型来看，我国开展树轮与NDVI的研究主要基于针叶林，且重建结果相对较好；利用阔叶林和灌木开展NDVI相关研究较为有限。从研究样点的空间分布来看，研究主要集中在西北干旱半干旱地区、青藏高原以及东北地区。在时间尺度上，基于树轮重建的NDVI时间序列最长可达千年变化，研究区位于青藏高原。在不同地区（纬度、海拔）利用不同树种、树轮参数、数据源植被指数研究结果具有差异。因此，今后需利用多种树轮参数、多类型植被指数，综合考虑多种环境因素，寻找最优模型构建参数，开展更长时间序列更大区域范围的植被指数重建研究，以揭示过去更长时间序列区域植被变化过程。 |
| 关键词: 树木年轮 植被指数 树轮重建 研究进展 |
| DOI：10.7515/JEE231014 |
| CSTR：32259.14.JEE231014 |
| 分类号: |
| 基金项目:国家重点研发计划（2023YFE0102700）；新疆维吾尔自治区高层次人才项目（2023TSYCCX0076）；新疆维吾尔自治区自然科学基金项目（2022D01E105） |
| 英文基金项目:Natural Key Research and Development Program of China (2023YFE0102700); High-Level Talent Program of Xinjiang Uigur Autonomous Region (2023TSYCCX0076); Natural Science Foundation of Xinjiang Uigur Autonomous Region (2022D01E105) |
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| Vegetation remote sensing index studies in China on the basis of tree-ring information: current status and prospects |
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SONG Jinghui1, 2, ZHANG Tongwen2, 4*, LIU Yan2, YU Shulong2, JIANG Shengxia2, Ruxianguli·ABUDOUREHEMAN2, 3, HOU Tianhao2, 3, GUO Dong1, 2
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1. College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
3. School of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
4. Xinjiang Uygur Autonomous Region Climate Center, Urumqi 830002, China
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| Abstract: |
| Background, aim, and scope The normalized vegetation index (NDVI) obtained by remote sensing is a robust indicator of vegetation change, but the current timeframes over which remote sensing observations are made are relatively short, which precludes inferences of long-term changes in vegetation characteristics. Reconstruction of historical changes in NDVI based on tree-ring information can overcome the shortcomings associated with the short timeframes of existing NDVI data to some extent. This paper presents a comprehensive analysis of domestic studies that have reconstructed NDVI from tree-ring data, including the relative number of studies of different vegetation types, tree-ring parameters, and study areas. Our findings provide valuable information that will aid future studies aimed at reconstructing vegetation indices on the basis of tree-ring data. Materials and methods We reviewed the development of NDVI reconstruction approaches from tree-ring data in China. We also reviewed the current status of research on NDVI reconstruction from tree-ring data, including the relative number of studies of different tree species, tree-ring parameters, and study areas. Finally, we discussed the consistency between changes in tree rings and NDVI. Results Tree-ring width is the main proxy used for NDVI reconstruction. Studies of tree rings and NDVI in China have mainly focused on coniferous forests, and the robustness of the reconstruction results is relatively high. Limited studies of broad-leaved forests and shrubs have been conducted. Most studies have been concentrated in the northwestern arid and semi-arid regions, the Qinghai-Xizang Plateau, and northeastern China. The longest NDVI time series on the basis of tree-ring data was at the millennial scale and was constructed using data from the Qinghai-Xizang Plateau region. Discussion The application potential of tree species in dendroecology is influenced by various factors such as their distribution, local climate, and the proportion of forest stands occupied by species. The results of vegetation index studies using different tree species, tree-ring parameters, and data sources also vary among regions. Tree-ring information can effectively reflect changes in NDVI, which can aid efforts to identify the relative importance of different environmental factors and the optimal parameters for model construction. Within a certain range, the reliability of the reconstructed NDVI time series increased as the timeframe over which the samples were collected and the sample size increased. The correlation between the average tree-ring chronology across sample sites and NDVI was stronger than that between the tree-ring chronologies of individual sample sites and NDVI. Sabina chinensis was the species with the longest reconstructed NDVI time series. Conclusions Tree-ring information and remote sensing data can be used to effectively reconstruct long-term changes in vegetation when tree growth and regional vegetation are subject to common external environmental factors and are not affected by other non-climatic factors. Recommendations and perspectives Researchers within and outside of China should aim to identify optimal parameters for model construction, establish longer tree-ring chronologies, generate higher resolution tree-ring networks, and carry out multi-type vegetation index reconstruction studies on a larger regional scale to obtain longer time series and characterize regional vegetation change processes over longer historical time scales. |
| Key words: tree-ring vegetation index tree-ring reconstruction research progress |
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