湖南省植被碳汇动态及其自然驱动因子分析

doi:10.6046/zrzyyg.2023151

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摘要

净生态系统生产力(net ecosystem productivity,NEP)是生态系统极为重要的特征量,也是陆地生态系统与大气之间碳交换的物理量。该文基于MODIS NPP和气象数据,利用土壤微生物呼吸模型估算2000—2020年湖南省的植被NEP,并结合趋势拟合、变异系数和标准差椭圆等方法对植被碳汇动态变化特点进行分析,进而利用地理探测器和相关分析等方法定量分析自然因子对植被碳汇的影响。结果表明: 湖南省植被碳汇多年平均值为603.01 gC·m^-2·a^-1,呈现出南高北低、西高东低,由西南向东北逐步降低的空间分布格局; 2000—2020年,植被碳汇平均趋势系数为2.97 gC·m^-2·a^-1,整体呈现增加趋势; 变异系数以低波动和较低波动为主,高波动地区主要分布于部分城市周边容易受到自然或人为因素干扰的区域; 植被碳汇变化是多因子共同作用的结果,各因子解释力依次为: 海拔>坡度>气温>降水量>坡向,海拔和坡度对湖南省植被碳汇的时空分布具有较强的解释力,气温和降水对植被碳汇的解释力较弱,植被碳汇与气温、降水量正相关的区域分别占植被总面积的75.13%和73.11%。研究结果可为该区域生态文明建设和实现“双碳”目标提供科学参考。

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	莫宏伟

关键词 ：植被碳汇, 净生态系统生产力(NEP), 动态变化, 驱动因子, 湖南省

Abstract：

Net ecosystem productivity (NEP) is recognized as an important characteristic quantity of ecosystems and a physical quantity of carbon exchange between terrestrial ecosystems and the atmosphere. Utilizing MODIS NPP and meteorological data, this study estimated the vegetation NEP in Hunan Province from 2000 to 2020 using a soil microbial respiration model. Furthermore, this study analyzed the dynamic characteristics of vegetation carbon sink through trend analysis, variation coefficient, and standard deviation ellipse methods, followed by a quantitative assessment of the impacts of natural factors on vegetation carbon sink using geographical detectors and correlation analysis. The results indicate that the annual multiyear average of vegetation carbon sink in Hunan Province was 603.01 gC·m^-2·a^-1. The vegetation carbon sink presented a spatial distribution pattern of higher values in the south and west and lower values in the north and east, decreasing gradually from southwest to northeast. From 2000 to 2020, the average trend coefficient of vegetation carbon sink was 2.97 gC·m^-2·a^-1, trending upward overall. The coefficient of variation was primarily characterized by small fluctuations and fairly small fluctuations, while areas of great fluctuations are mainly scattered around certain cities, which are more susceptible to natural or anthropogenic disturbances. The variations in vegetation carbon sink in Hunan Province result from multiple factors, with the explanatory power of various factors decreased in the order of altitude, slope, temperature, precipitation, and slope. Both altitude and slope exhibited strong explanatory power regarding the spatiotemporal distribution of vegetation carbon sink in Hunan Province, while temperature and precipitation demonstrated weaker explanatory power. Areas where vegetation carbon sink was positively correlated with temperature and precipitation accounted for 75.13% and 73.11% of the total vegetation area, respectively.

Key words： vegetation carbon sink net ecosystem productivity (NEP) dynamic change driving factors Hunan Province

收稿日期: 2023-05-23 出版日期: 2024-12-23

ZTFLH:

TP79

基金资助:湖南省自然科学基金项目“湘江下游城乡交错带土地生态安全时空动态研究”(2018JJ2115)

通讯作者: 莫宏伟(1968-),男,博士,副教授,研究方向为GIS与城乡国土资源评价。Email: 1100028@hnust.edu.cn。

作者简介: 赵海溶(1998-),女,硕士,研究方向为基于GIS的植被碳汇及生态价值评估。Email: zhaohr2028@163.com。

引用本文:

赵海溶, 莫宏伟. 湖南省植被碳汇动态及其自然驱动因子分析[J]. 自然资源遥感, 2024, 36(4): 304-313.
ZHAO Hairong, MO Hongwei. Dynamic and natural driving factors of vegetation carbon sink in Hunan Province. Remote Sensing for Natural Resources, 2024, 36(4): 304-313.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023151 或 https://www.gtzyyg.com/CN/Y2024/V36/I4/304

Fig.1 研究区位置及植被类型

Fig.2 2000—2020年湖南省植被碳汇均值空间分布

Fig.3 植被碳汇均值时序变化趋势

Fig.4 植被碳汇变化趋势及显著性空间分布

Fig.5 植被碳汇变异系数空间分布

Fig.6 植被碳汇重心迁移规律

Fig.7 湖南省自然驱动因子空间分布

Tab.1 植被碳汇自然驱动因子探测及交互探测结果

Fig.8 植被碳汇与降水量和气温的相关系数显著性空间分布

Fig.9 植被碳汇空间分布与海拔/坡度的关系

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