测绘通报 ›› 2024, Vol. 0 ›› Issue (9): 55-61.doi: 10.13474/j.cnki.11-2246.2024.0911

• 学术研究 • 上一篇    下一篇

秦岭(陕西段)植被碳汇时空变化与气候关联性研究

赵选1,2, 张向阳1,2, 刘国发1,2, 王腾龙1,2   

  1. 1. 自然资源部第一地理信息制图院, 陕西 西安 710054;
    2. 陕西省第六测绘地理信息工程院, 陕西 西安 710054
  • 收稿日期:2024-03-27 发布日期:2024-10-09
  • 通讯作者: 王腾龙。E-mail:1033953645@qq.com
  • 作者简介:赵选(1989—),男,博士,工程师,研究方向为“3S”技术在资源环境中应用。E-mail:zx666@nwafu.edu.cn
  • 基金资助:
    陕西省教育厅科研计划(23JE014);陕西省自然科学基础研究计划(2023-JC-QN-0250)

Research on the spatio-temporal variation of vegetation carbon sink and its correlation with climate in the Qinling Mountains of Shaanxi

ZHAO Xuan1,2, ZHANG Xiangyang1,2, LIU Guofa1,2, WANG Tenglong1,2   

  1. 1. The First Institute of Geographic Information Cartography, Ministry of Natural Resources, Xi'an 710054, China;
    2. The Sixth Mapping and Geographic Information Engineering Institute, Shaanxi Province, Xi'an 710054, China
  • Received:2024-03-27 Published:2024-10-09

摘要: 秦岭是我国重要的生态安全屏障,研究植被净生态系统生产力时空变化与气候关联性,对解释植被的碳汇变化具有重要意义。本文基于谷歌地球引擎云计算平台,利用净初级生产力数据、气温数据、降水数据和太阳辐射数据,采用Theil-Sen Median回归分析、变异系数和偏相关性分析对秦岭(陕西段)2000—2021年植被净生态系统生产力时空变化和气候因子关联性进行研究。结果表明:①2000—2021年,秦岭(陕西段)植被净生态系统生产力在空间分布上呈西部高、东部低,由西向东逐渐递减格局。年均净生态系统生产力为595.91 gC/(m2·a)且基本全部是碳汇区(NEP>0)。②2000—2021年,秦岭(陕西段)植被净生态系统生产力平均趋势系数为-0.007,趋势变化呈稳定状态。③2000—2021年,秦岭(陕西段)植被净生态系统生产力稳定性在空间分布上呈显著异质性,其中92.03%面积的区域持续发挥着碳汇功能。④2000—2021年,秦岭(陕西段)植被92.62%面积的区域净生态系统生产力与降水呈正相关,54.34%面积的区域净生态系统生产力与太阳辐射呈正相关,96.63%面积的区域净生态系统生产力与气温呈正相关,表明气温是影响该地区最重要的气候因子。本文对提高生态系统碳汇价值和尽早实现我国“双碳”目标都具有积极意义。

关键词: 秦岭(陕西段), 植被碳汇, 时空变化, 气候关联性

Abstract: The Qinling Mountains in Shaanxi province are an important ecological security barrier in China, studying the spatio-temporal changes in vegetation net ecosystem productivity and its correlation with climate is of great significance for explaining changes in vegetation carbon sinks.The article is based on the google earth engine cloud computing platform, using net primary productivity data, temperature data, precipitation data, and solar radiation data, and Theil-Sen Median regression analysis, coefficient of variation, partial correlation analysis are used to analyze the spatio-temporal changes in vegetation net ecosystem productivity and the correlation between climate factors in Qinling Mountains of Shaanxi province from 2000 to 2021.The results indicate that:①From 2000 to 2021,the net ecosystem productivity of vegetation in Qinling Mountains of Shaanxi province showed a spatial distribution pattern of high in the west and low in the east,gradually decreasing from the west to the east.The average annual net ecosystem productivity is 595.91 gC/(m2·a), and most of it is in carbon sink areas(NEP>0).②From 2000 to 2021, the average trend coefficient of net ecosystem productivity of vegetation in Qinling Mountains of Shaanxi province was -0.007, and the trend change showed a stable state.③From 2000 to 2021, the stability of vegetation net ecosystem productivity in Qinling Mountains of Shaanxi province showed significant heterogeneity in spatial distribution, with 92.03% of the area continuing to serve as a carbon sink.④From 2000 to 2021, 92.62% of the vegetation area in Qinling Mountains of Shaanxi province showed a positive correlation between regional net ecosystem productivity and precipitation, 54.34% of the vegetation area showed a positive correlation with solar radiation, and 96.63% of the vegetation area showed a positive correlation with temperature, indicating that temperature is the most important climate factor affecting the region. This article has positive significance for improving the carbon sink value of ecosystems and achieving China's “dual carbon” goals as soon as possible.

Key words: Qinling Mountains in Shaanxi, vegetation carbon sink, spatio-temporal variation, climate correlation

中图分类号: