Spatiotemporal evolution and driving factors of vegetation carbon-water use efficiency in Huaihe River Ecological Economic Belt

YAO Xiamei; LI Huizhu; LU Yaohan; OU Chun; YAO Xiaojie; JI Fengquan

doi:10.13300/j.cnki.hnlkxb.2026.01.010

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Spatiotemporal evolution and driving factors of vegetation carbon-water use efficiency in Huaihe River Ecological Economic Belt

High-quality development of urban-rural with green integration | 更新时间：2026-11-05

- Spatiotemporal evolution and driving factors of vegetation carbon-water use efficiency in Huaihe River Ecological Economic Belt
- Journal of Huazhong Agricultural University Vol. 45, Issue 1, Pages: 103-116(2026)
- 作者机构：
  
  1.安徽建筑大学建筑与规划学院，合肥 230601
  2.阜阳师范大学生物与食品工程学院，阜阳 236037
- 作者简介：
- 基金信息：
- DOI：10.13300/j.cnki.hnlkxb.2026.01.010
  CLC： Q948;X171.1
- Received：18 July 2025，
  
  Published：15 January 2026
- 稿件说明：
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姚侠妹，李蕙竹，陆瑶涵，等.淮河生态经济带植被碳水利用效率时空变化及其影响因子分析［J］.华中农业大学学报，2026，45（1）：103‐116.

YAO Xiamei,LI Huizhu,LU Yaohan,et al.Spatiotemporal evolution and driving factors of vegetation carbon-water use efficiency in Huaihe River Ecological Economic Belt[J].Journal of Huazhong Agricultural University,2026,45(01):103-116.
姚侠妹，李蕙竹，陆瑶涵，等.淮河生态经济带植被碳水利用效率时空变化及其影响因子分析［J］.华中农业大学学报，2026，45（1）：103‐116. DOI： 10.13300/j.cnki.hnlkxb.2026.01.010.

YAO Xiamei,LI Huizhu,LU Yaohan,et al.Spatiotemporal evolution and driving factors of vegetation carbon-water use efficiency in Huaihe River Ecological Economic Belt[J].Journal of Huazhong Agricultural University,2026,45(01):103-116. DOI： 10.13300/j.cnki.hnlkxb.2026.01.010.

摘要

为明确区域植被碳-水利用效率的时空演变及其气候响应机制，揭示典型生态过渡带碳-水过程的动态机制，基于2000—2020年MODIS遥感数据，依托Google Earth Engine平台，结合趋势分析、变异系数、重标极差分析（R/S）及偏相关方法，解析淮河生态经济带植被碳利用效率（carbon use efficiency，CUE）与水分利用效率（water use efficiency，WUE）的时空演变特征及其对气候因子的响应机制。结果显示：研究区域的CUE与WUE年均值分别为0.51和0.75 g/（m²·mm），CUE总体呈波动下降趋势，WUE则波动上升，空间上CUE呈东高西低格局，WUE高值区与CUE相似，低值区域主要分布于中北部与中南部。WUE改善区域占比（32.91%）显著高于CUE（13.87%）。R/S分析预测未来63.41%的区域CUE将呈良性发展趋势，WUE良性发展区占比为36.43%。CUE与气温、日照时数呈负相关关系，与降水和土壤湿度呈正相关关系；WUE则与气温呈正相关关系，与降水、日照时数和土壤湿度呈负相关关系，降水和温度的影响存在显著的空间异质性。

Abstract

Studying the spatiotemporal dynamics of vegetation carbon-water use efficiency and their responses to climatic factors in the context of the “dual-carbon” strategy is essential to enhance the sequestration capacity of carbon in ecosystem. The Google Earth Engine（GEE） platform was used in combination with trend analysis， coefficient of variation， rescaled range（R/S） analysis， and partial correlation methods to investigate the spatiotemporal evolution of vegetation carbon use efficiency（CUE） and water use efficiency（WUE） in the Huaihe River Ecological Economic Belt and the mechanisms of their responses to climate based on MODIS remote-sensing data from 2000 to 2020. The results showed that the multi-year mean value of CUE and WUE in the areas studied was 0.51 and 0.75 g/（m²·mm）. CUE exhibited a fluctuating downward trend， whereas WUE showed a fluctuating upward trend. Spatially， CUE displayed a pattern of higher value in the east and lower value in the west， while the high-value areas of WUE largely coincided with those of CUE， and low-value areas were mainly distributed in the central-northern and central-southern regions. The proportion of areas improved by WUE （32.91%） was significantly higher than that of CUE （13.87%）. R/S analysis predicts that 63.41% of regional CUE will show a positive trend of development in the future， while the proportion of areas with favorable development of WUE will be 36.43%. The CUE was negatively correlated with the air temperature and sunshine duration but positively correlated with the precipitation and moisture in soil， whereas the WUE was positively correlated with the air temperature and negatively correlated with the precipitation， sunshine duration， and moisture in soil. It is indicated that there is significant spatial heterogeneity in the effects of precipitation and temperature.

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references

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