内蒙古自治区植被碳利用效率时空动态及其与水热因子的关系

皇彦; 宋海清; 吴昊; 李敏; 胡琦

doi:10.13961/j.cnki.stbctb.2024.05.038

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内蒙古自治区植被碳利用效率时空动态及其与水热因子的关系

试验研究

- 内蒙古自治区植被碳利用效率时空动态及其与水热因子的关系
- Spatiotemporal Dynamics of Vegetation Carbon Use Efficiency and Its Relationship with Hydrothermal Factors in Inner Mongolia Autonomous Region
- 水土保持通报 2024年43卷第5期页码：358-368
- 作者机构：
  
  1. 乌兰察布市气象局,内蒙古,乌兰察布,012000
  2. 内蒙古自治区生态与农业气象中心,内蒙古,呼和浩特,010051
  3. 中国农业大学资源与环境学院,北京,100193
- 作者简介：
- 基金信息：
  
  中国气象局气象能力提升联合研究专项“基于智能网格和陆气耦合模式的内蒙—东北土壤水监测预报技术”(23NLTSQ008);内蒙古自治区自然科学基金项目“基于多源雪深数据和机器学习的锡林郭勒草原雪深重建(2023QN05021);内蒙古自治区气象局科技创新项目“内蒙古植被碳利用效率动态及驱动力研究”(nmqxkjcx202423)
- DOI：10.13961/j.cnki.stbctb.2024.05.038
  中图分类号： P49;Q148
- 纸质出版：2024
- 稿件说明：
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皇彦, 宋海清, 吴昊, 等. 内蒙古自治区植被碳利用效率时空动态及其与水热因子的关系[J]. 水土保持通报, 2024,43(5):358-368.

Huang Yan, Song Haiqing, Wu Hao, et al. Spatiotemporal Dynamics of Vegetation Carbon Use Efficiency and Its Relationship with Hydrothermal Factors in Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 358-368.
皇彦, 宋海清, 吴昊, 等. 内蒙古自治区植被碳利用效率时空动态及其与水热因子的关系[J]. 水土保持通报, 2024,43(5):358-368. DOI： 10.13961/j.cnki.stbctb.2024.05.038.

Huang Yan, Song Haiqing, Wu Hao, et al. Spatiotemporal Dynamics of Vegetation Carbon Use Efficiency and Its Relationship with Hydrothermal Factors in Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 358-368. DOI： 10.13961/j.cnki.stbctb.2024.05.038.

摘要

[目的] 探讨内蒙古植被碳利用效率(CUE)动态变化及其与水热因子的关系，为评估该地区植被碳汇能力提供科学依据。[方法] 基于MOD17A2H数据，采用趋势分析、Hurst指数、相关性分析等方法，研究2000—2022年内蒙古生长季植被CUE时空动态及水热因子的影响作用。[结果] ①2000—2022年内蒙古生长季植被CUE显著增加(p＜0.05)，增长率为0.012/10 a；各重点生态功能区植被CUE增速由大到小为：大小兴安岭＞呼伦贝尔＞浑善达克＞科尔沁＞阴山北麓。②内蒙古生长季植被CUE呈西高东低的空间分布特征，多年平均值为0.60；各重点生态功能区中，浑善达克植被CUE最高，科尔沁植被CUE最低。③研究区83.53%的区域生长季植被CUE呈增加趋势，且变化稳定；未来72.14%的区域生长季植被CUE将趋于下降，各重点生态功能区植被CUE呈减少趋势的面积比例均高于呈增加趋势。④总体上，内蒙古生长季植被CUE与同期平均气温呈负相关，与累计降水量和平均土壤湿度呈正相关，且与累计降水量的相关性更强；科尔沁生长季植被CUE与同期平均气温的相关性强于累计降水量和平均土壤湿度。[结论] 2000—2022年，内蒙古植被固碳能力明显提升，未来将趋于减弱，降水是影响植被CUE变化的主要因素，但科尔沁生态功能区植被CUE变化主要受气温控制。

Abstract

[Objective] The dynamic changes in vegetation carbon use efficiency (CUE) and its relationship with hydrothermal factors in the Inner Mongolia Autonomous Region was investigated to provide a scientific basis for evaluating vegetation carbon sequestration capacity. [Methods] Vegetation CUE was calculated using MOD17A2H data. Trend analysis

Hurst index

and correlation analysis were employed to investigate the spatiotemporal dynamics of vegetation CUE from 2000 to 2022 and the influence of hydrothermal factors on vegetation CUE. [Results] ① During 2000—2022

vegetation CUE increased significantly

with a growth rate of 0.012 per decade (p<0.05). The CUE values of key ecological functional areas in Inner Mongolia followed this order: Daxinganling and Xiaoxinganling Mountains > Hulun Buir > Hunshandake > Khorchin > Northern Yinshan. ② The spatial distribution of vegetation CUE in Inner Mongolia was higher in the west and lower in the east during the growing season

with an average annual value of 0.60. Among the key ecological functional areas

the highest vegetation CUE was observed in Hunshandake

while the lowest was in Khorchin. ③ Vegetation CUE exhibited an increasing trend in 83.53% of the study area

and this trend remained constant during the growing season. However

72.14% of the study area would experience a decreasing trend in vegetation CUE in the future

with a higher proportion of key ecological functional areas showing a declining trend compared to those with an increasing trend. ④ Overall

vegetation CUE was negatively correlated with average temperature and positively correlated with cumulative precipitation and average soil moisture

with a stronger correlation observed with cumulative precipitation during the growing season. In contrast

vegetation CUE had a stronger correlation with average temperature than with cumulative precipitation and average soil moisture in Khorchin. [Conclusion] The carbon sequestration capacity of vegetation in Inner Mongolia increased significantly from 2000 to 2022 but would decline in the future. Precipitation was the main factor affecting changes in vegetation CUE in key ecological functional areas

while temperature was the dominant influencing factor in Khorchin.

关键词

Keywords

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