中国农业气象 ›› 2022, Vol. 43 ›› Issue (02): 124-136.doi: 10.3969/j.issn.1000-6362.2022.02.004

• 农业生物气象栏目 • 上一篇    下一篇

定量评估京津冀气候变化和人类活动对植被NPP变化的 相对作用

高旭旭,于长文,张婧,张金龙   

  1. 河北省气候中心/河北省气象与生态环境重点实验室,石家庄 050021
  • 收稿日期:2021-07-02 出版日期:2022-02-20 发布日期:2022-01-15
  • 通讯作者: 于长文,高级工程师,主要从事气候变化与气候应用研究,E-mail: ycw127@foxmail.com E-mail:ycw127@foxmail.com
  • 作者简介:高旭旭,E-mail: gaoxuxu08@126.com
  • 基金资助:
    国家自然科学基金青年项目(41705075);河北省创新能力提升计划项目(19245419D);京津冀协同发展项目(201810979);河北省气象局科研开发项目(20ky05)

Quantitative Assessment on the Relative Influence of Climatic Change and Human Activities on Net Primary Productivity in Beijing-Tianjin-Hebei

GAO Xu-xu, YU Chang-wen, ZHANG Jing, ZHANG Jin-long   

  1. Hebei Climate Center/Hebei State Key Laboratory of Meteorology and Ecological Environment,Shijiazhuang 050021, China
  • Received:2021-07-02 Online:2022-02-20 Published:2022-01-15

摘要: 气候变化和人类活动是影响植被生长的两个重要因素,定量评估两因素对京津冀地区植被净初级生产力(NPP)的相对作用,对了解该区域植被变化的驱动机制,改善生态环境具有参考价值。基于2001−2020年CASA模型的NPP数据和气象数据,采用“去趋势回归残差法”定量区分气候变化和人类活动对京津冀地区植被NPP的影响。结果表明:(1)京津冀地区47.8%的植被呈现显著改善的状态,4.5%呈现显著退化的状态。张家口中部地区植被NPP增加趋势最大,经济发达的城市群(除北京外)减少趋势显著;(2)京津冀大部分地区植被得到显著改善的主要原因为气候变化和人类活动的共同作用,其中气候变化对NPP影响为1.5gC·m−2·a−1,人类活动为2.4gC·m−2·a−1;(3)气候变化和人类活动对植被显著改善的贡献率平均为25.8%和74.2%。气候变化贡献率大于80%的区域面积约占1.3%,主要集中在张家口西北部、沧州东部等地;人类活动贡献率超过80%的区域面积占比22.1%,主要集中在张家口中部和西南部、承德大部、沧州南部、衡水大部等地。而人类活动对植被显著退化区的作用高达94.9%。研究结果表明人类活动在植被生长能力恢复和退化中的作用大于气候变化,因此,京津冀植被恢复的生态建设中应重点关注人类活动的影响。

关键词: 净初级生产力, 气候变化, 人类活动, 去趋势回归残差法, 京津冀

Abstract: Climate change and human activities are two driving factors that have vital influence on vegetation growth capacity. Quantitative assessment of the relative impact of climate change and human activities on net primary productivity (NPP) in Beijing-Tianjin-Hebei (BTH) can significantly improve the understanding of driving mechanism and help the improvement of ecological environment. Based on NPP data derived from Carnegie-Ames-Stanford Approach (CASA) model and meteorological data from 2001 to 2020, the relative contributions of climate change and human activities to NPP in BTH were quantitatively assessed by the methods of trend analysis and “detrended regression residuals methods”. The results showed that: (1) 47.8% of total area in BTH exhibited significant restoration, while only 4.5% underwent significant degradation. The annual NPP in developed urban agglomeration except Beijing decreased faster compared with other regions, while the middle of Zhangjiakou was the area with the fastest increase in annual NPP. (2) The climate change and human activities drove the NPP variation jointly as important forces in BTH and both induced a rapid increasing trend in the most areas. The spatial average influence of climate change on NPP variability was 1.5gC·m−2·y−1, while the impact of human activities was 2.4gC·m−2·y−1. (3) The contributions of climate and human activities accounted for 25.8% and 74.2% respectively to the significant increase of NPP in BTH in the past 20 years. The regions where the contribution rates of climate change were more than 80%, were mainly distributed in the northwest of Zhangjiakou and east of Cangzhou which covered 1.3% of the total areas. While there were 22.1% regions of BTH where the contributions of human activities were over 80% in the southwest of Zhangjiakou, Chengde, the south of Cangzhou and Hengshui. (4) The significant degeneration of vegetation was mainly induced by human activities whose contribution rats reached 94.9%. The results indicate that the human activities should be more focused on the ecological construction of vegetation restoration in BTH.

Key words: NPP, Climate change, Human activities, Detrended regression residuals methods, Beijing-Tianjin- Hebei