Xu Binni, Li Jingji, Pei Xiangjun, Yang Hailong
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China; College of Ecology and Environment, Chengdu University of Technology, Chengdu, 610059, China.
J Environ Manage. 2023 Dec 1;347:119131. doi: 10.1016/j.jenvman.2023.119131. Epub 2023 Sep 30.
Global land surface air temperature data show that in the past 50 years, the rate of nighttime warming has been much faster than that of daytime, with the minimum daily temperature (Tmin) increasing about 40% faster than the maximum daily temperature (Tmax), resulting in a decreased diurnal temperature difference. The Qinghai-Tibet Plateau (QTP) is known as the "roof of the world", where temperatures have risen twice as fast as the global average warming rate in the last few decades. The factors affecting vegetation growth on the QTP are complex and still not fully understood to some extent. Previous studies paid less attention to the explanations of the complicated interactions and pathways between elements that influence vegetation growth, such as climate (especially asymmetric warming) and topography. In this study, we characterized the spatial and temporal trends of vegetation coverage and investigated the response of vegetation dynamics to asymmetric warming and topography in the QTP during 2001-2020 using trend analysis, partial correlation analysis, and partial least squares structural equation model (PLS-SEM) analysis. We found that from 2001 to 2020, the entire QTP demonstrated a greening trend in the growing season (April to October) at a rate of 0.0006/a (p < 0.05). The spatial distribution pattern of partial correlation between NDVI and Tmax differed from that of NDVI and Tmin. PLS-SEM results indicated that asymmetric warming (both Tmax and Tmin) had a consistent effect on vegetation development by directly promoting greening in the QTP, with NDVI values being more sensitive to Tmin, while topographic factors, especially elevation, mainly played an indirect role in influencing vegetation growth by affecting climate change. This study offers new insights into how vegetation responds to asymmetric warming and references for local ecological preservation.
全球陆地表面气温数据显示,在过去50年里,夜间变暖速度比白天快得多,日最低气温(Tmin)的上升速度比日最高气温(Tmax)快约40%,导致昼夜温差减小。青藏高原被誉为“世界屋脊”,在过去几十年里,其气温上升速度是全球平均变暖速度的两倍。影响青藏高原植被生长的因素复杂,在一定程度上仍未被完全理解。以往的研究较少关注影响植被生长的各要素之间复杂的相互作用和途径的解释,如气候(尤其是不对称变暖)和地形。在本研究中,我们利用趋势分析、偏相关分析和偏最小二乘结构方程模型(PLS - SEM)分析,对2001 - 2020年期间青藏高原植被覆盖的时空趋势进行了表征,并研究了植被动态对不对称变暖和地形的响应。我们发现,2001年至2020年期间,整个青藏高原在生长季(4月至10月)呈现出绿化趋势,速率为0.0006/a(p < 0.05)。归一化植被指数(NDVI)与Tmax之间的偏相关空间分布模式与NDVI和Tmin的不同。PLS - SEM结果表明,不对称变暖(Tmax和Tmin)通过直接促进青藏高原的绿化对植被发育具有一致的影响,NDVI值对Tmin更敏感,而地形因素,尤其是海拔,主要通过影响气候变化在影响植被生长方面发挥间接作用。本研究为植被如何响应不对称变暖提供了新的见解,并为当地生态保护提供了参考。