基于GEE平台的西南干热河谷植被时空演变特征及其驱动要素研究
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1.华北电力大学;2.华北电力大学水利与水电工程学院

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国家自然基金委项目(52209087; 52379065),中央高校基本科研业务费(2024MS068)


Spatial-temporal evolution process of vegetation and influencing factors in the arid-hot valley of Southwest China based on Google Earth Engine
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North China Electric Power University

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    摘要:

    西南干热河谷地处横断山脉腹地,受到气候、地形及人类活动等要素的影响,垂向上植被分布格局迥异,低海拔区域为稀树灌草植被生态系统,高海拔区域为森林植被生态系统,是西南山区特殊的地理区系,也是我国典型的生态脆弱带之一。基于Landsat卫星遥感影像,通过Google Earth Engine (GEE)平台获取了1990—2020年四个季节归一化植被指数(NDVI)、地表温度(LST)和温度植被干旱指数(TVDI)数据,揭示了近30年西南干热河谷植被盖度的时空变化特征,并基于地形、气象、地表温度等要素分析了影响植被盖度变化的主要因素。结果发现干热河谷低海拔和高海拔区域的气温和地表温度均呈现显著增加,高海拔温度增加幅度大于低海拔地区。四个季节的NDVI在时间序列上亦呈现增加趋势,高山森林生态系统的植被增长速率(0.0077/a)显著高于稀树灌草生态系统(0.0027/a),且区域植被盖度均有向高植被盖度的趋势发展。在驱动要素方面,海拔、坡向、坡度等地形要素导致水热条件不同,从而使得高低海拔的植被类型存在明显差异,气温和地表温度的增加是导致植被盖度增加的主要诱因,在低海拔区域年均地表温度在20℃时植被盖度增加最快,而高海拔地区15℃时植被盖度增加最快,而超过该温度阈值后植被增加的速度有所下降。本文为指导西南干热河谷地区植被恢复提供了科学的管理建议及依据。

    Abstract:

    The southwest arid-hot valley, located in the heart of the Hengduan Mountain Range, is an ecologically fragile region in China, deeply influenced by climate, topography, and human activities. These factors contribute to a highly variable vertical vegetation distribution pattern, with distinct vegetation types at different altitudes. At lower altitude area, sparse shrub and grass ecosystems prevail, while at higher altitude area, more developed and diverse forest vegetation systems thrive. This unique ecological distribution is characteristic of the southwest mountainous region, which is renowned for its rich biodiversity, complex ecosystems, and environmental sensitivity. The southwest arid-hot valley is considered one of China’s most vulnerable ecological zones, especially due to the ongoing impacts of climate change, human encroachment, and other environmental pressures. This study employed satellite remote sensing data from Landsat imagery spanning three decades (1990—2020). Utilizing the Google Earth Engine (GEE) platform, the research analyzed key environmental variables, including the normalized vegetation index (NDVI), land surface temperature (LST), and the temperature vegetation drought index (TVDI), to examine how vegetation coverage has changed over time in response to various ecological factors. The findings revealed notable spatial and temporal shifts in vegetation coverage, offering valuable insights into how ecological systems in this region have responded to both natural environmental changes and human-driven factors such as land use changes and climate alterations. Over the past 30 years, both air and surface temperatures have risen significantly, with higher altitude area experiencing more pronounced warming than lower altitudes. This temperature rise has had a direct and significant impact on vegetation growth patterns. NDVI data showed a general increase in vegetation coverage, with alpine forest ecosystems exhibiting a higher growth rate (0.0077/a) compared to shrub and grassland ecosystems (0.0027/a). This indicates that forest ecosystems, particularly at higher altitudes, have been more responsive to the changing climate than lowland ecosystems. Topographical factors, such as altitude, slope direction, and gradient, play a crucial role in shaping vegetation dynamics. These factors create varying hydrothermal conditions across the region, leading to significant differences in vegetation types at different elevations. The study also identified that the primary driver of increased vegetation coverage was the rise in air and surface temperatures. In low-altitude areas, vegetation coverage increased most rapidly when surface temperatures reached around 20°C, whereas in high-altitude regions, the optimal temperature for vegetation growth was found to be approximately 15°C. Beyond these thresholds, the rate of vegetation increase slowed, indicating diminishing returns at higher temperatures. This study offers valuable insights into the driving forces behind vegetation changes in ecologically sensitive regions, especially under the pressures of climate change, using satellite imagery and the GEE platform.

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张成,韦疏桐,刘希宇,张尚弘,唐彩红,周扬.基于GEE平台的西南干热河谷植被时空演变特征及其驱动要素研究.生态学报,,(). http://dx. doi. org/10.5846/stxb202410092436

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