| 不同海拔梯度下极端气候事件对松花江流域植被NPP的影响 |
| 摘要点击 779 全文点击 219 投稿时间：2023-01-18 修订日期：2023-03-13 |
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| 中文关键词 松花江流域 植被净初级生产力（NPP） 海拔梯度 极端气候事件 影响因素 |
| 英文关键词 Songhua River Basin net primary productivity （NPP） altitude gradients extreme climate events influencing factors |
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| 中文摘要 |
| 植被净初级生产力（NPP）是评估陆地生态系统质量与固碳能力的关键指标,极端气候事件对植被NPP的影响在不同海拔梯度下存在差异.然而,有关不同海拔条件下极端气候事件对植被NPP空间分异的影响情况及耦合效应研究尚且不足.利用MOD17A3HGF遥感数据集和RClimDex 1.9软件分别计算了2001~2020年松花江流域植被NPP和10个极端气候指数,通过趋势分析、相关分析、回归分析、地理探测器分析及相对重要性分析等方法,对不同海拔梯度下松花江流域植被NPP时空演变特征及其对极端气候事件的响应机制进行了解析.结果表明：①松花江流域2001~2020年植被NPP（以C计）以4.13 g·（m2·a）-1的速率显著增加（P<0.01）,29~255、255~440、440~658、658~935和935~2 589 m海拔梯度下植被NPP分别以3.65、4.04、4.70、5.09和4.57 g·（m2·a）-1的速率呈显著增加趋势（P<0.01）；②空间上松花江流域植被NPP呈“四周高、中部低”的分布格局,高海拔地区与低海拔地区相比植被NPP波动更为明显；③松花江流域极端降水事件是植被NPP的主要影响因素,低海拔地区植被NPP主要受极端降水事件影响,而高海拔地区植被NPP则受极端降水事件和极端气温事件的双重影响.研究结果可为完善松花江流域陆地生态系统碳循环模式、量化植被固碳能力和应对气候变化政策制定提供科学依据. |
| 英文摘要 |
| Vegetation net primary production (NPP) is an essential index for determining the quality of terrestrial ecosystems and their potential carbon storage ability. The impacts of extreme climate events on vegetation NPP are different under different altitude gradients. However, the research on the impact of extreme climate events on the spatial variation in vegetation NPP and the coupling effects under different altitude conditions remain insufficient. Using the MOD17A3HGF remote sensing data set and RClimDex 1.9 software, the vegetation NPP and 10 extreme climate indices in the Songhua River Basin from 2001 to 2020 were calculated, respectively. The spatial and temporal evolution characteristics of vegetation NPP and its response mechanism to extreme climate events in the Songhua River Basin under different altitude gradients were analyzed by means of trend analysis, correlation analysis, regression analysis, GeoDetector, and relative importance analysis. The results showed that:① the vegetation NPP (calculated by C) in the Songhua River Basin increased significantly at the rate of 4.13 g·(m2·a)-1 from 2001 to 2020 (P < 0.01), and the rates of 3.65, 4.04, 4.70, 5.09, and 4.57 g·(m2·a)-1 at the altitude gradients of 29-255, 255-440, 440-658, 658-935, and 935-2 589 m, respectively (P < 0.01). ② The spatial distribution pattern of vegetation NPP presented "high around and low in the middle," and the fluctuation of vegetation NPP in high altitude areas was more obvious than that in low altitude areas; for example, the average value of vegetation NPP at an altitude gradient from 29 to 255 m had a lower value, whereas the other altitude gradients had higher mean values than the mean value of the basin. ③ The extreme precipitation events in the Songhua River Basin were the main influencing factors of vegetation NPP, i.e., the vegetation NPP in low-altitude areas was mainly affected by extreme precipitation events, whereas the values in high-altitude areas were affected by both extreme precipitation events and extreme temperature events. The results of this research can provide a scientific basis for improving the carbon cycle model of the terrestrial ecosystem in the Songhua River Basin, quantifying the ability of carbon storage of vegetation and formulating policies to deal with climate change. |
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