National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China.
Hunan Provincial Key Laboratory of Geo-information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China.
PLoS One. 2021 Apr 28;16(4):e0250825. doi: 10.1371/journal.pone.0250825. eCollection 2021.
Understanding the response mechanism of ecosystems to climate change and human disturbance can be improved by analyzing the spatial patterns of vegetation phenology and its influencing factors. Because the diverse phenological patterns are impacted by cloud cover contamination issues in the satellite observations, there are few remote sensing phenological research data in subtropical monsoon climate regions. To better understand the horizontal and vertical changes of vegetation phenology in these regions and how it may be affected by climatic factors and topographical features, we first extracted vegetation phenological information (such as start of growth season (SOS), end of growth season (EOS) and length of growth season (LEN)) from a reconstructed MODIS EVI time-series data. We then used geographic detectors to identify the influencing factors of phenology in different elevation zoning areas. We have found that in the Xiangjiang River Basin: 1) gradual changes in the longitudinal or latitudinal gradient of vegetation phenology were not obvious. Instead of horizontal changes, the variation pattern of phenology was similar to the striped river network of the Xiangjiang River. Earlier SOS mainly appeared in the areas far away from the river; later SOS appeared in the midstream and downstream reaches.2) Elevation played an important role in the regional differentiation of phenology. Boundaries at elevations of 320 m and 520 m distinctly separated the region into plain, hilly, and mountain vegetation phenological characteristics. 3) The impacts of climatic factors were quite different in the three vertical zoning areas. Precipitation was the most crucial factor affecting SOS both in plain and mountain areas. There was no significant factor affecting EOS in the plain area, but temperature had an essential effect on EOS in the mountain area. The hilly areas had a concentrated growth period with no significant factors affecting phenology. These findings highlight the importance of elevation in phenology at a watershed scale, enhance our understanding of the impact of climate changes on subtropical ecosystems, and provide a reference for further land-use change monitoring.
理解生态系统对气候变化和人为干扰的响应机制,可以通过分析植被物候及其影响因素的空间格局来提高。由于卫星观测中存在云覆盖污染问题,导致物候的多模式受到影响,因此在亚热带季风气候区,很少有遥感物候研究数据。为了更好地了解这些地区植被物候的水平和垂直变化,以及它可能受到气候因素和地形特征的影响,我们首先从重建的 MODIS EVI 时间序列数据中提取植被物候信息(如生长季开始期(SOS)、生长季结束期(EOS)和生长季长度(LEN))。然后,我们使用地理探测器来识别不同海拔分区区域物候的影响因素。我们发现,在湘江流域:1)植被物候的纵向或纬度梯度的渐变不明显。物候的变化模式与湘江的条纹状河网相似,而不是水平变化。较早的 SOS 主要出现在远离河流的区域;较晚的 SOS 出现在中上游和下游地区。2)海拔对物候的区域分异起着重要作用。海拔 320 米和 520 米的边界明显将该区域分为平原、丘陵和山地植被物候特征。3)气候因素在三个垂直分区区域的影响差异很大。降水是平原和山区 SOS 的最关键因素。平原地区 EOS 没有显著的影响因素,但温度对山区 EOS 有重要影响。丘陵地区的生长期集中,对物候没有显著的影响因素。这些发现突出了海拔在流域尺度上对物候的重要性,增强了我们对气候变化对亚热带生态系统影响的理解,并为进一步的土地利用变化监测提供了参考。