黑龙江省植被碳-水利用效率时空演变及其驱动机制

doi:10.13287/j.1001-9332.202412.006

应用生态学报 ›› 2024, Vol. 35 ›› Issue (12): 3349-3358.doi: 10.13287/j.1001-9332.202412.006

黑龙江省植被碳-水利用效率时空演变及其驱动机制

李玉露¹, 吴雪晴¹, 袁野², 董灵波^1*

¹东北林业大学林学院森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040;
²黑龙江省应急救援保障中心, 哈尔滨 150040

收稿日期:2024-08-16 接受日期:2024-09-18 出版日期:2024-12-18 发布日期:2025-06-18
通讯作者: *E-mail: farrell0503@126.com
作者简介:李玉露, 女, 2000年生, 硕士研究生。主要从事植被碳-水耦合作用研究。E-mail: 2557148481@qq.com
基金资助:
十四五国家重点研发计划项目(2023YFF1304002)和黑龙江省头雁创新团队计划项目(森林资源高效培育技术研发团队)

Spatial-temporal variation and driving mechanism of vegetation carbon and water use efficiency in Heilongjiang Province, China

LI Yulu¹, WU Xueqing¹, YUAN Ye², DONG Lingbo^1*

¹Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, School of Forestry, Northeast Forestry University, Harbin 150040, China;
²Emergency Rescue Support Center of Heilongjiang Province, Harbin 150040, China

Received:2024-08-16 Accepted:2024-09-18 Online:2024-12-18 Published:2025-06-18

摘要/Abstract

摘要： 碳利用效率(CUE)能够反映生物碳同化能力与固碳潜力,水利用效率(WUE)反映植物生产过程中能量转化效率,这两个指标能够表征陆地生态系统碳水循环机制。本研究以MODIS数据产品为基础,逐年计算黑龙江省2001—2020年植被碳-水利用效率,采用Sen-MK方法、Hurst指数分析、偏相关分析法和残差分析法分析耕地、林地、灌木林地和草地的碳-水利用效率演变趋势及其驱动机制。结果表明: 黑龙江省20年间CUE和WUE均值分别为0.550和0.869 g C·m^-2·mm^-1,均呈现南北高、东西低;2001—2020年研究区54.8%的植被CUE呈现改善趋势,59.6%的植被WUE呈现改善趋势,植被CUE和WUE改善最多的植被类型都是林地,退化最多的都是耕地;植被CUE和WUE均与气温呈负相关,而与降水呈正相关;气候变化和人类活动对植被CUE的贡献率分别是46.6%和53.4%,对植被WUE的贡献率分别为42.3%和57.7%。

关键词: 碳利用效率, 水利用效率, 气候变化, 人类活动, 时空演变

Abstract: Carbon use efficiency (CUE) can reflect carbon assimilation capacity and carbon sequestration potential of organisms. Water use efficiency (WUE) can reflect the energy conversion efficiency during plant growth. Both indices can represent the carbon and water cycle mechanism of terrestrial ecosystems. Based on MODIS data pro-ducts, we calculated the annual CUE and WUE of vegetation in Heilongjiang Province from 2001 to 2020, and analyzed the variations and driving mechanism of carbon and water use efficiency in cropland, woodland, shrubland and grassland by using Sen-MK method, Hurst index analysis, partial correlation analysis and residual analysis. The results showed that the mean value of CUE and WUE in Heilongjiang Province was 0.550 and 0.869 g C·m^-2·mm^-1, respectively, with high values in north and south and low values in east and west. During 2001-2020, 54.8% of vegetation CUE in the study area showed an increasing trend, and 59.6% of vegetation WUE showed an increasing trend. The increases of both CUE and WUE were highest in woodland and lowest in cropland. Vegetation CUE and WUE were negatively correlated with temperature and positively correlated with precipitation. The contribution rates of climate change and human activities to vegetation CUE were 46.6% and 53.4%, and the contribution rates to vegetation WUE were 42.3% and 57.7%, respectively.

Key words: carbon use efficiency, water use efficiency, climate change, human activity, space-time evolution

李玉露, 吴雪晴, 袁野, 董灵波. 黑龙江省植被碳-水利用效率时空演变及其驱动机制[J]. 应用生态学报, 2024, 35(12): 3349-3358.

LI Yulu, WU Xueqing, YUAN Ye, DONG Lingbo. Spatial-temporal variation and driving mechanism of vegetation carbon and water use efficiency in Heilongjiang Province, China[J]. Chinese Journal of Applied Ecology, 2024, 35(12): 3349-3358.

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黑龙江省植被碳-水利用效率时空演变及其驱动机制

Spatial-temporal variation and driving mechanism of vegetation carbon and water use efficiency in Heilongjiang Province, China

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