不同数据集的1982—2017年中国总初级生产力的时空动态

doi:10.13287/j.1001-9332.202210.027

应用生态学报 ›› 2022, Vol. 33 ›› Issue (10): 2644-2652.doi: 10.13287/j.1001-9332.202210.027

• 陆地生态系统固碳与增汇专栏 • 上一篇下一篇

不同数据集的1982—2017年中国总初级生产力的时空动态

曹玉娟^1,3, 宋振华², 武志涛^1.3*, 杜自强^1,3

¹山西大学黄土高原研究所, 太原 030006;
²中国冶金地质总局第三地质勘查院, 太原 030000;
³山西省黄河实验室, 太原 030006

收稿日期:2022-04-27 修回日期:2022-07-29 出版日期:2022-10-15 发布日期:2023-04-15
通讯作者: * E-mail: wuzhitao@sxu.edu.cn
作者简介:曹玉娟, 女, 1997年生, 硕士研究生。主要从事陆地生态系统与全球变化研究。E-mail: 2409951683@qq.com
基金资助:
国家自然科学基金项目(41977412,U1910207)、山西省高等学校科技创新项目(2020L0014)和山西省水利科技推广应用项目(2022GM015)资助。

Spatio-temporal dynamics of gross primary productivity in China from 1982 to 2017 based on different datasets

CAO Yu-juan^1,3, SONG Zhen-hua², WU Zhi-tao^1,3*, DU Zi-qiang^1,3

¹Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;
²The Third Geological Exploration Institute of China Metallgical Geology Bureau, Taiyuan 030000, China;
³Yellow River Laboratory of Shanxi Province, Taiyuan 030006, China

Received:2022-04-27 Revised:2022-07-29 Online:2022-10-15 Published:2023-04-15

摘要/Abstract

摘要： 了解陆地生态系统总初级生产力(GPP)时空变化及其与气候因子的关系,可以为植被恢复及保护提供重要依据。基于气象数据和3套公开的GPP数据集(EC-LUE GPP、GLASS GPP和NIRv GPP),本研究系统分析了中国1982—2017年GPP的时空变化特征及其对气候变化的响应。结果表明: 3套GPP数据均表明,1982—2017年,中国年和季节的GPP呈逐年上升趋势,1998和2002年明显高于研究期间的平均水平,1989和1992年明显低于多年平均GPP。1982—2017年,中国大部分地区GPP呈显著上升趋势,3套GPP数据显著增加的区域分别占整个研究区的75.7%、73.0%和69.6%。年GPP与降水和温度均存在显著正相关关系,但空间异质性较强。其中GPP与温度呈正相关的区域主要分布在西北和华中地区,GPP与降水呈正相关的区域主要分布在华北地区。不同季节的GPP受气温、降水影响的区域存在明显的时空异质性。温度是春、秋和冬季GPP的限制因子,而夏季GPP主要受降水影响。

关键词: 总初级生产力, 时空变化, 气候因素, 中国

Abstract: Understanding the spatio-temporal variations of gross primary productivity (GPP) of terrestrial ecosystem and its relationship with climatic factors can provide important basis for vegetation restoration and protection. Based on meteorological data and three public GPP datasets (EC-LUE GPP, GLASS GPP, and NIRv GPP), we syste-matically analyzed the spatial-temporal variations of GPP and its response to climate change in China during 1982-2017. All the results based on the three GPP datasets showed that the annual and seasonal GPP in China increased annually from 1982 to 2017, with that in 1998 and 2002 significantly being higher than the average level during the study period, and that in 1989 and 1992 significantly being lower than the average annual GPP. From 1982 to 2017, GPP showed a significant upward trend in most regions of China, with the regions with significant increases accounting for 75.7%, 73.0%, and 69.6% of the whole study area, respectively. There was a significant positive correlation between annual GPP and precipitation and temperature, but spatial heterogeneity was strong. Among them, the regions with positive correlation between GPP and temperature were mainly distributed in Northwest and Central China, while the regions with positive correlation between GPP and precipitation were mainly distributed in North China. There was obvious spatial-temporal heterogeneity in regions that GPP being affected by temperature and precipitation in different seasons. Temperature was the limiting factor of GPP in spring, autumn and winter, while summer GPP was mainly affected by precipitation.

Key words: gross primary production, temporal and spatial variation, climatic factor, China

曹玉娟, 宋振华, 武志涛, 杜自强. 不同数据集的1982—2017年中国总初级生产力的时空动态[J]. 应用生态学报, 2022, 33(10): 2644-2652.

CAO Yu-juan, SONG Zhen-hua, WU Zhi-tao, DU Zi-qiang. Spatio-temporal dynamics of gross primary productivity in China from 1982 to 2017 based on different datasets[J]. Chinese Journal of Applied Ecology, 2022, 33(10): 2644-2652.

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不同数据集的1982—2017年中国总初级生产力的时空动态

Spatio-temporal dynamics of gross primary productivity in China from 1982 to 2017 based on different datasets

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