| 2001~2022年黄河流域青海段植被NPP时空变化及其对气候的响应 |
| 摘要点击 1928 全文点击 67 投稿时间：2024-12-22 修订日期：2025-03-13 |
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| 中文关键词 黄河流域青海段 净初级生产力（NPP） 时空特征 气候变化 响应机制 |
| 英文关键词 Qinghai section of the Yellow River Basin net primary productivity （NPP） spatial and temporal characteristics climate change response mechanisms |
| DOI 10.13227/j.hjkx.202412233 |
| 作者 | 单位 | E-mail | | 李彬 | 青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810001
青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810001
青海省地理空间和自然资源大数据中心, 西宁 810001 | pgcqlibinf@163.com | | 曹广超 | 青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810001
青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810001
青海省人民政府-北京师范大学高原科学与可持续发展研究院, 西宁 810001 | Caoguangchao@qhnu.edu.cn | | 王苑 | 青海省地理空间和自然资源大数据中心, 西宁 810001 | | | 范琳 | 青海省自然资源遥感中心, 西宁 810001 | | | 欧尔格力 | 青海省地理空间和自然资源大数据中心, 西宁 810001 | |
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| 中文摘要 |
| 黄河流域青海段植被净初级生产力受气候驱动，呈显著的时空异质性. 基于2001~2022年逐年MODIS-NPP数据和逐月温度、降水和太阳辐射数据，采用Theil-Sen斜率估计、MK趋势检验、偏相关和复相关分析等方法，探讨了黄河流域青海段植被NPP的时空变化特征及其对气候因子的响应关系. 结果表明：①研究区2001~2022年植被NPP（以C计）以2.01 g·（m2·a）-1的速率呈波动上升趋势；年均植被NPP与植被类型紧密相关，且表现出较强的垂直地带性；2001~2010年受降水驱动明显，2011~2022年表现为受温度驱动. ②植被NPP对气候的响应在静态上表现为河谷、盆地较山地更明显，在气温（-2~8.5℃）、降水（300~550 mm）和年太阳辐射能量（3 350~3 700 MJ·m-2）阈值内，植被NPP呈非线性的增加（减少）；在动态上表现为不同类型植被对气候条件的响应关系和程度不同，除高山植被和灌丛外，流域植被对降水的响应程度要优于气温和辐射；气温和降水是流域植被NPP变化的主要驱动因子. ③不同地貌分区对气候的响应机制迥异，整体呈现“四屏三区一高地”的分区格局. 研究结果为深入了解黄河流域上游的生态环境变化机制提供参考依据. |
| 英文摘要 |
| The net primary productivity （NPP） of vegetation in the Qinghai section of the Yellow River Basin （YRB） showed significant spatial and temporal heterogeneity driven by climate. Based on the yearly MODIS-NPP data and month-by-month temperature， precipitation， and solar radiation data from 2001 to 2022， the temporal and spatial characteristics of vegetation NPP and its response to climatic factors in the Qinghai section of the Yellow River Basin were investigated by using the Theil-Sen slope estimation， the MK trend test， the biased correlation， and complex correlation analyses. The results showed that： ① Vegetation NPP in the study area showed a fluctuating upward trend at a rate of 2.01 g·（m2·a）-1 from 2001 to 2022. The annual average vegetation NPP was closely related to the vegetation type and showed strong vertical zonation. It was obviously driven by precipitation from 2001 to 2010， and it was driven by temperature from 2011 to 2022. ② The response of vegetation NPP to climate was more pronounced in river valleys and basins than in mountains in static terms， with a nonlinear increase （decrease） in vegetation NPP within the thresholds of temperature （-2-8.5℃）， precipitation （300-550 mm）， and solar radiation （3 350-3 700 MJ·m-2）， In dynamic terms， with different types of vegetation responding to climatic conditions with different relationships and degrees， except for alpine vegetation and thickets， vegetation in the watershed responded better to precipitation than to air temperature and radiation. Air temperature and precipitation were the main driving factors for changes in vegetation NPP in the watershed. The response mechanisms of different geomorphic zones to climate were very different， with the overall zoning pattern of “four screens， three zones， and one highland.” The results of this study provide a reference basis for understanding the ecological and environmental change mechanisms in the upper Yellow River Basin. |
