2001—2020年中国不同干湿区植被固碳能力时空变化及影响因子

doi:10.13287/j.1001-9332.202605.019

应用生态学报 ›› 2026, Vol. 37 ›› Issue (5): 1559-1569.doi: 10.13287/j.1001-9332.202605.019

2001—2020年中国不同干湿区植被固碳能力时空变化及影响因子

李路丹¹, 刘琰琰^1,2*, 冯浩鹏^1,3, 康平^1,2, 沈园¹, 秦文霜¹, Klaus Schaefer^1,2, 袁登攀¹

¹成都信息工程大学大气科学学院, 复杂地形区域气候变化与资源利用四川省重点实验室, 成都 610225;
²成都平原城市气象与环境四川省野外科学观测研究站, 成都 610225;
³中国民用航空局空中交通管理局航空气象中心, 北京 100122

收稿日期:2026-01-04 接受日期:2026-04-12 出版日期:2026-05-18 发布日期:2026-11-18
通讯作者: * E-mail: liuyy@cuit.edu.cn
作者简介:李路丹, 女, 2000年生, 硕士研究生。主要从事生态气象和气候变化对植被碳汇的影响研究。E-mail: lldan2023@163.com
基金资助:
四川省科技教育联合基金项目(2025NSFSC2047)、四川科技计划项目(2025HJRC0052)和四川省科普培训项目(2025JDKP0028)

Spatiotemporal variations and influencing factors for vegetation carbon sequestration in arid and humid zones of China during 2001 to 2020.

LI Ludan¹, LIU Yanyan^1,2*, FENG Haopeng^1,3, KANG Ping^1,2, SHEN Yuan¹, QIN Wenshuang¹, Klaus SCHAEFER^1,2, YUAN Dengpan¹

¹Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China;
²Chengdu Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, Chengdu 610225, China;
³Aviation Meteorological Center Air Traffic Management Bureau, Civil Aviation Administration of China, Beijing 100122, China

Received:2026-01-04 Accepted:2026-04-12 Online:2026-05-18 Published:2026-11-18

摘要/Abstract

摘要： 在全球气候变化背景下,明确不同干湿区植被固碳能力的时空演变规律及其驱动机制,是制定区域生态修复与碳汇功能维持策略的关键科学问题。本研究基于2001—2020年中国植被净初级生产力(NPP)数据,揭示其时空分异特征,并定量评估了气象因子和人类活动对其变化的驱动贡献。结果表明:研究期间,不同干湿区NPP多年均值依次为湿润区(455.06 g C·m^-2)＞半湿润区(442.33 g C·m^-2)＞半干旱区(342.93 g C·m^-2)＞干旱区(171.40 g C·m^-2)。所有干湿区NPP年均值随时间均呈增长态势,其中半干旱区年均增幅最大(1.38 g C·m^-2·a^-1),半湿润区增幅最小(0.09 g C·m^-2·a^-1);干旱区、半干旱区NPP显著增加区域面积占比分别为18.1%、30.7%,湿润区、半湿润区NPP显著退化区域面积占比分别为13.8%、12.3%。气象因子和人类活动对NPP变化的驱动贡献具有显著的空间异质性,辐射在湿润区、半湿润区和半干旱区对NPP变化呈负向贡献(贡献率分别为-46.5%、-47.9%和-18.5%);降水在干旱区、半干旱区对NPP变化呈正向贡献(贡献率分别为79.5%、43.4%);温度对不同干湿区的NPP变化影响相对较弱(贡献率仅介于0～0.7%)。人类活动在半干旱区、半湿润区和湿润区对NPP变化呈正向贡献(贡献率分别为38.0%、43.3%和36.6%),在干旱区则呈负向贡献(贡献率为-5.0%)。

关键词: 植被净初级生产力(NPP), 干湿区, 时空分异特征, 定量贡献评估

Abstract: Against the backdrop of global climate change, clarifying the spatiotemporal variations and driving mechanisms of vegetation carbon sequestration capacity across different arid and humid zones is a key scientific issue for formulating strategies for regional ecological restoration and carbon sink maintenance. Based on net primary productivity (NPP) data of China from 2001 to 2020, we analyzed the spatiotemporal variations and quantitatively evaluated the relative contributions of meteorological factors and human activities. The results showed that the multi-year average NPP across different arid and humid zones followed the order of humid zone (455.06 g C·m^-2) > subhumid zone (442.33 g C·m^-2) > subarid zone (342.93 g C·m^-2) > arid zone (171.40 g C·m^-2). The annual average NPP of all zones showed an increasing trend over time, with the subarid zone having the largest annual growth rate (1.38 g C·m^-2·a^-1) and the subhumid zone the smallest (0.09 g C·m^-2·a^-1). The proportions of areas with significantly improved NPP in the arid and subarid zones were 18.1% and 30.7%, respectively, while the proportions of areas with significantly degraded NPP in the humid and subhumid zones were 13.8% and 12.3%, respectively. The driving contributions of meteorological factors and human activities to the increases and decreases of NPP exhibited significant spatial heterogeneity. Radiation exhibited a negative contribution to NPP changes in humid, subhumid and subarid zones, with contribution rates of -46.5%, -47.9% and -18.5%, respectively. Precipitation exhibited a positive contribution to NPP changes in the arid and subarid zones (with contribution rates of 79.5% and 43.4%, respectively). Temperature exhibited a relatively weak impact on the increases and decreases of NPP across different arid and humid zones (with contribution rates only ranging from 0 to 0.7%). Human activities exerted a positive contribution to NPP changes in subarid, subhumid and humid zones, with contribution rates of 38.0%, 43.3% and 36.6%, respectively, while showing a negative contribution in arid regions, with contribution rate of -5.0%.

Key words: net primary productivity (NPP), arid and humid zones, spatiotemporal differentiation characteristics, quantitative contribution assessment

李路丹, 刘琰琰, 冯浩鹏, 康平, 沈园, 秦文霜, Klaus Schaefer, 袁登攀. 2001—2020年中国不同干湿区植被固碳能力时空变化及影响因子[J]. 应用生态学报, 2026, 37(5): 1559-1569.

LI Ludan, LIU Yanyan, FENG Haopeng, KANG Ping, SHEN Yuan, QIN Wenshuang, Klaus SCHAEFER, YUAN Dengpan. Spatiotemporal variations and influencing factors for vegetation carbon sequestration in arid and humid zones of China during 2001 to 2020.[J]. Chinese Journal of Applied Ecology, 2026, 37(5): 1559-1569.

参考文献

[1] 高启慧, 秦圆圆, 梁媚聪, 等. IPCC第六次评估报告综合报告解读及对我国的建议. 环境保护, 2023, 51(增刊2): 82-84
[2] 郭文强, 于忠萍, 雷明, 等. 我国碳排放驱动因素分解及脱钩努力效应研究. 环境科学研究, 2025, 38(2): 209-219
[3] 胡鞍钢. 中国实现2030年前碳达峰目标及主要途径. 北京工业大学学报: 社会科学版, 2021, 21(3): 1-15
[4] 赵慧, 崔洋, 李梦华, 等. 气候变化和人类活动对宁夏植被净初级生产力的影响. 应用生态学报, 2025, 36(8): 2429-2441
[5] 赵光远, 董心悦, 曹则煜, 等. 三生空间视角下京津冀地区植被净初级生产力时空变化及其驱动因素. 生态学杂志, 2025, 44(10): 3198-3209
[6] 朱文泉, 潘耀忠, 张锦水. 中国陆地植被净初级生产力遥感估算. 植物生态学报, 2007, 31(3): 413-424
[7] 李春波, 张园, 刘雅各, 等. 长白山自然保护区总初级生产力时空变化特征及其影响因素. 应用生态学报, 2023, 34(5): 1341-1348
[8] 郭少杰. 中国陆地植被固碳量的时空演变与影响因素研究. 博士论文. 陕西杨凌: 西北农林科技大学, 2023
[9] 韩云环, 马柱国, 李明星, 等. 中国不同干湿区植被变化及其与气候因子的关系. 大气科学, 2023, 47(6): 1680-1692
[10] 曹银轩, 黄卓, 徐喜娟, 等. 黄土高原植被日光诱导叶绿素荧光对气象干旱的响应. 应用生态学报, 2022, 33(2): 457-466
[11] 于敏, 贾小龙, 薄宇, 等. 黑龙江省陆地生态系统固碳能力及气候影响评估. 应用生态学报, 2025, 36(3): 828-836
[12] 张国壮. 中国农牧交错带2000—2019年植被覆盖变化及驱动因素分析. 硕士论文. 西安: 长安大学, 2023
[13] Pan YS, Zhang HB, Wang CY, et al. Impact of land use change on regional carbon sink capacity: Evidence from Sanmenxia, China. Ecological Indicators, 2023, 156: 111189
[14] Yan YH, Liu XP, Wen YY, et al. Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China. Ecological Indicators, 2019, 103: 542-553
[15] 侯蒙京. 中国天然草地生产力遥感估算及其时空变化成因研究. 博士论文. 兰州: 兰州大学, 2023
[16] 刘童, 鲍首辰, 袁涛. 中国不同植被区植物碳汇能力研究进展. 林草资源研究, 2024(4): 12-20
[17] 张存杰, 廖要明, 段居琦, 等. 我国干湿气候区划研究进展. 气候变化研究进展, 2016, 12(4): 261-267
[18] Peng SZ, Gang CC, Cao Y, et al. Assessment of climate change trends over the Loess Plateau in China from 1901 to 2100. International Journal of Climatology, 2018, 38: 2250-2264
[19] Peng SZ, Ding YX, Liu WZ, et al. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 2019, 11: 1931-1946
[20] Monteith JL. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 1972, 9: 747-766
[21] Xue W, Kun T, Bao ZC, et al. Assessing the spatiotemporal variation and impact factors of net primary productivity in China. Scientific Reports, 2017, 7: 44415
[22] Li XY, Guo JM, Qi SZ. Forestland landscape change induced spatiotemporal dynamics of subtropical urban forest ecosystem services value in forested region of China: A case of Hangzhou City. Environmental Research, 2021, 193: 110618
[23] Zhang L, Deng CY, Kang R, et al. Assessing the responses of ecosystem patterns, structures and functions to drought under climate change in the Yellow River Basin, China. Science of the Total Environment, 2024, 929: 172603
[24] 袁江龙, 刘晓煌, 李洪宇, 等. 1990—2050年黄河中游伊洛河流域不同土地利用类型碳储量时空分异特征. 现代地质, 2024, 38(3): 559-573
[25] Feng HP, Kang P, Deng ZC, et al. The impact of climate change and human activities to vegetation carbon sequestration variation in Sichuan and Chongqing. Environmental Research, 2023, 238: 117-138
[26] Roderick ML, Rotstayn LD, Farquhar GD, et al. On the attribution of changing pan evaporation. Geophysical Research Letters, 2007, 34: L17403
[27] 田瑞颖. 中国科学院植物研究所等揭示内蒙古草原近40年碳汇功能变化. 中国科学报, 2023-12-13(004)
[28] 赵倩倩, 张京朋, 赵天保, 等. 2000年以来中国区域植被变化及其对气候变化的响应. 高原气象, 2021, 40(2): 292-301
[29] 唐可欣, 郭建斌, 何亮, 等. 中国旱区GPP时空演变特征及影响因素研究. 干旱区研究, 2024, 41(6): 964-973
[30] Zhao XH, Zhang FM, Su RM, et al. Response of carbon and water fluxes to dryness/wetness in China. Terrestrial, Atmospheric and Oceanic Sciences, 2021, 32: 5
[31] 刘刚, 孙睿, 肖志强, 等. 2001—2014年中国植被净初级生产力时空变化及其与气象因素的关系. 生态学报, 2017, 37(15): 4936-4945
[32] 朱教君, 高添, 于立忠, 等. 森林生态系统碳汇: 概念、时间效应与提升途径. 应用生态学报, 2024, 35(9): 2313-2321
[33] 义白璐, 韩骥, 周翔, 等. 区域碳源碳汇的时空格局:以长三角地区为例. 应用生态学报, 2015, 26(4): 973-980
[34] 高钰, 雍少宁, 王俊峰. 增温对青藏高原高寒沼泽草甸不同时期土壤酶活性的影响. 生态科学, 2023, 42(1): 1-10
[35] 邓光怡. 气候变化和生态工程对生态系统服务影响过程及效应研究. 博士论文. 长春: 东北师范大学, 2025
[36] 王艳芳. 河南省退耕还林工程固碳成效及其潜力评估. 博士论文. 陕西咸阳: 西北农林科技大学, 2017
[37] 周妍妍, 朱敏翔, 郭晓娟, 等. 疏勒河流域气候变化和人类活动对植被 NPP 的相对影响评价. 生态学报, 2019, 39(14): 5127-5137
[38] 徐金勤, 肖潇, 朱平, 等. 1960—2019 年中国不同干湿气候区地表干湿变化特征及其归因分析. 气候与环境研究, 2025, 30(2): 129-140

2001—2020年中国不同干湿区植被固碳能力时空变化及影响因子

Spatiotemporal variations and influencing factors for vegetation carbon sequestration in arid and humid zones of China during 2001 to 2020.

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