Chen Jinlong, Shao Zhenfeng, Huang Xiao, Zhuang Qingwei, Dang Chaoya, Cai Bowen, Zheng Xueke, Ding Qing
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
Sci Total Environ. 2022 Dec 15;852:158499. doi: 10.1016/j.scitotenv.2022.158499. Epub 2022 Sep 2.
Drought-land cover change (D-LCC) is considered to be an important stress factor that affects vegetation greenness and productivity (VG&P) in global terrestrial ecosystems. Understanding the effects of D-LCC on VG&P benefits the development of terrestrial ecosystem models and the prediction of ecosystem evolution. However, till today, the mechanism remains underexploited. In this study, based on the Theil-Sen median estimator and Mann-Kendall test, Hurst exponent evaluation and rescaled range analysis (R/S), Pearson and Partial correlation coefficient analyses, we explore the spatiotemporal distribution characteristics and future trends of Leaf area index (LAI), Net primary productivity (NPP), Solar-induced chlorophyll fluorescence (SIF), Standardized precipitation evapotranspiration index (SPEI), Soil moisture (SM), Land cover type (LC), and the impact mechanism of D-LCC on global VG&P. Our results provide four major insights. First, three independent satellite observations consistently indicate that the world is experiencing an increasing trend of VG&P: LAI (17.69 %), NPP (20.32 %) and SIF (16.46 %). Nonetheless, productivity-reducing trends are unfolding in some tropical regions, notably the Amazon rainforest and the Congo basin. Second, from 2001 to 2020, the frequency, severity, duration, and scope of global droughts have been increasing. Third, the impact of land cover change on global VG&P is region-dependent. Finally, our results indicate that the continuous growth of VG&P in the global vegetation area is likely to become more difficult to maintain.
干旱地区土地覆盖变化(D-LCC)被认为是影响全球陆地生态系统植被绿度和生产力(VG&P)的一个重要压力因素。了解D-LCC对VG&P的影响有助于陆地生态系统模型的发展以及生态系统演变的预测。然而,直到今天,其机制仍未得到充分利用。在本研究中,基于泰尔-森中位数估计器和曼-肯德尔检验、赫斯特指数评估和重标极差分析(R/S)、皮尔逊和偏相关系数分析,我们探讨了叶面积指数(LAI)、净初级生产力(NPP)、太阳诱导叶绿素荧光(SIF)、标准化降水蒸散指数(SPEI)、土壤湿度(SM)、土地覆盖类型(LC)的时空分布特征和未来趋势,以及D-LCC对全球VG&P的影响机制。我们的研究结果提供了四个主要见解。第一,三项独立的卫星观测一致表明,全球正经历着VG&P上升的趋势:LAI上升了17.69%,NPP上升了20.32%,SIF上升了16.46%。尽管如此,一些热带地区,特别是亚马逊雨林和刚果盆地,生产力却呈下降趋势。第二,2001年至2020年期间,全球干旱的频率、严重程度、持续时间和范围一直在增加。第三,土地覆盖变化对全球VG&P的影响因地区而异。最后,我们的研究结果表明,全球植被区VG&P的持续增长可能会越来越难以维持。