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应用生态学报 ›› 2021, Vol. 32 ›› Issue (10): 3661-3670.doi: 10.13287/j.1001-9332.202110.028

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油松树轮指示的秦岭中部过去194年5—7月NDVI变化

冉依林1, 陈友平1, 陈峰1,2*, 张合理2, 贾小波3   

  1. 1云南大学, 国际河流与生态安全研究院国际河流与跨境安全重点实验室, 昆明 650504;
    2中国气象局乌鲁木齐沙漠气象研究所, 树木年轮理化研究重点开放实验室/新疆树木年轮生态实验室, 乌鲁木齐 830002;
    3宝鸡市陈仓区国有潘家湾林场, 陕西宝鸡 721000
  • 收稿日期:2021-06-17 修回日期:2021-07-27 出版日期:2021-10-15 发布日期:2022-04-15
  • 通讯作者: * E-mail: feng653@163.com
  • 作者简介:冉依林, 女, 1998年生, 硕士研究生。主要从事树木年轮与气候水文变化研究。E-mail: yilinran@mail.ynu.edu.cn
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项资金项目(IDM2018003)资助

May-July NDVI variation for the middle Qinling Mountains over the past 194 years indicated by tree rings of Pinus tabuliformis

RAN Yi-lin1, CHEN You-ping1, CHEN Feng1,2*, ZHANG He-li2, JIA Xiao-bo3   

  1. 1Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650504, China;
    2Key Laboratory of Tree-ring Physical and Chemic Research of China Meteorological Administration/Xinjiang Laboratory of Tree-ring Ecology, Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
    3State-owned Panjiawan Forest Farm in Chencang District of Baoji City, Baoji 721000, Shaanxi, China
  • Received:2021-06-17 Revised:2021-07-27 Online:2021-10-15 Published:2022-04-15
  • Contact: * E-mail: feng653@163.com
  • Supported by:
    Central Public-interest Scientific Institution Basal Research Fund (IDM2018003).

摘要: 由于归一化差异植被指数(NDVI)观测记录较短,对长时间尺度的NDVI变化研究较少,限制了我们对于全球变暖背景下气候驱动的植被生产力变化及其影响的理解。本研究利用陕西秦岭中部油松树轮样本建立区域树轮宽度指数年表,基于秦岭中部区域年表与5—7月NDVI的较高相关(r=0.624,P<0.01,n=34),利用线性回归模型重建秦岭中部1825—2018年5—7月NDVI变化,方差解释量为38.9%。空间分析表明,重建序列能够较好代表研究区范围内NDVI变化。重建序列表明,秦岭中部过去近194年经历了6个高值期和5个低值期,其中2006—2018年植被生长最好,即在最近的升温停滞期,秦岭中部植被生长呈显著恢复性生长。NDVI低值期与研究区区域干旱事件有着良好的对应关系。小波分析表明,重建序列存在2~4、12~16年准周期。SEA分析表明,重建序列在厄尔尼诺年出现显著下降,而在拉尼娜年事件发生后第1年至第3年出现显著上升。预测油松生长在SSP2-4.5、SSP3-7.0和SSP5-8.5情景下会略微上升。

关键词: 秦岭, 油松, NDVI重建, ENSO, VS-lite 模型

Abstract: Due to the short-term observation record of the normalized difference vegetation index (NDVI), the research on long-term NDVI changes is scarce, which limits our understanding of the impacts of NDVI changes in the context of global warming. In this study, a regional tree-ring chronology was developed based on the tree-ring samples of Pinus tabuliformis in the middle Qinling Mountains. The results showed that tree-ring width of P. tabuliformis was significantly positively correlated with May-July NDVI (r=0.624, P<0.01, n=34). The Sig-Free tree-ring width chronology was used to reconstruct May-July NDVI during the period 1825—2018, which explained 38.9% of the total NDVI variance. Results of spatial analysis showed that the reconstructed series could better represent the NDVI changes in the study area. There were six high NDVI periods and five low NDVI periods in the past 194 years. The vegetation grew best in 2006-2018, indicating vegetation cove-rage in the middle of Qinling Mountains had been improved during the warming hiatus. Low NDVI periods in the reconstruction series were consistent with drought over much of study area. Results of wavelet analysis indicated the existence of 2-4 years and 12-16 years cycles in the reconstruction series. SEA analysis showed that the reconstruction series decreased significantly in the El Nino year, while increased significantly in the first to third years after the La Nina event. The growth of P. tabuliformis was predicted to increase slightly under the SSP2-4.5, SSP3-7.0 and SSP5-8.5 scenarios.

Key words: Qinling Mountains, Pinus tabuliformis, NDVI reconstruction, ENSO, VS-lite model