Yang Dazhi, Liu Yaqun
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
J Environ Manage. 2025 Sep;392:126575. doi: 10.1016/j.jenvman.2025.126575. Epub 2025 Jul 22.
In the context of intensifying global environmental change, elucidating vegetation dynamics and their driving mechanisms is vital for sustainable ecosystem management. The Qinghai-Tibet Plateau (QTP), a region known for its sensitivity and vulnerability, exhibits a high degree of responsiveness to climate change and human activities. The region's pronounced spatiotemporal heterogeneity renders it an optimal area for investigating vegetation changes and their driving mechanisms. However, existing research predominantly emphasizes natural factors, with insufficient systematic analysis of human activities, thereby constraining a comprehensive understanding of driving mechanisms. This study utilizes MODIS NDVI data to systematically analyze GNDVI (the average NDVI during the growing season) trends and their driving mechanisms across the QTP from 2000 to 2018, integrating natural factors (temperature, precipitation, potential evapotranspiration, snow depth, elevation, slope) and human factors (roads, population, grazing intensity) from multi-scale and vegetation-type perspectives. Results reveal a significant increasing trend in GNDVI (p < 0.05) across the QTP, with pronounced improvements in the northeast and degradation in specific regions of the southwest and southeast. From 2000 to 2018, 79.19% of QTP vegetation exhibited improvement (39.52% significantly), while 14.28% experienced degradation (2.78% significantly). During the study period, the QTP climate exhibited a warming and moistening trend, which generally benefited vegetation growth. The impacts of natural and human factors on vegetation changes vary significantly across different spatial regions. Population density and grazing intensity have obvious threshold effects on vegetation dynamics: when population density exceeds 17 pop/km, their effects on vegetation change rate approach marginal effects, while grazing intensity exceeds 250 SU/km, resulting in a significant decrease in GNDVI change rate. Notably, grazing and tourism activities near roads and lakes negatively impacted GNDVI in the southwest and southeast, partially offsetting the positive effects of climate change and contributing to degradation. Based on these findings, the study recommends establishing a long-term investment mechanism for ecosystem protection, implementing differentiated regional management strategies, and enhancing regulatory oversight of human activities. Specifically, strict controls on grazing and tourism development in ecologically sensitive areas are necessary to mitigate their impacts on fragile ecosystems. This study constructs a framework that integrates the spatiotemporal heterogeneity of natural and human factors, overcoming the limitations of traditional methods. It advances the theoretical understanding of the driving mechanisms behind vegetation dynamics in alpine ecosystems and provides a scientific foundation for formulating differentiated ecological protection policies and sustainable management strategies.
在全球环境变化加剧的背景下,阐明植被动态及其驱动机制对于生态系统的可持续管理至关重要。青藏高原(QTP)是一个以敏感性和脆弱性著称的地区,对气候变化和人类活动表现出高度的响应性。该地区显著的时空异质性使其成为研究植被变化及其驱动机制的理想区域。然而,现有研究主要强调自然因素,对人类活动的系统分析不足,从而限制了对驱动机制的全面理解。本研究利用MODIS NDVI数据,从多尺度和植被类型的角度,综合自然因素(温度、降水、潜在蒸散、积雪深度、海拔、坡度)和人类因素(道路、人口、放牧强度),系统分析了2000年至2018年青藏高原生长季平均归一化植被指数(GNDVI)的变化趋势及其驱动机制。结果表明,青藏高原的GNDVI呈显著增加趋势(p < 0.05),东北部改善明显,西南部和东南部的特定区域出现退化。2000年至2018年,青藏高原79.19%的植被有所改善(39.52%显著改善),14.28%的植被出现退化(2.78%显著退化)。研究期间,青藏高原气候呈暖湿趋势,总体有利于植被生长。自然和人类因素对植被变化的影响在不同空间区域差异显著。人口密度和放牧强度对植被动态有明显的阈值效应:当人口密度超过17人/km²时,其对植被变化率的影响接近边际效应,而放牧强度超过250羊单位/km²时,GNDVI变化率显著下降。值得注意的是,道路和湖泊附近的放牧和旅游活动对西南部和东南部的GNDVI产生了负面影响,部分抵消了气候变化的积极影响,导致植被退化。基于这些发现,该研究建议建立生态系统保护的长期投资机制,实施差异化的区域管理策略,并加强对人类活动的监管。具体而言,有必要严格控制生态敏感地区的放牧和旅游开发,以减轻其对脆弱生态系统的影响。本研究构建了一个整合自然和人类因素时空异质性的框架,克服了传统方法的局限性。它推进了对高山生态系统植被动态背后驱动机制的理论理解,并为制定差异化的生态保护政策和可持续管理策略提供了科学依据。