School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
J Environ Manage. 2024 Nov;370:122430. doi: 10.1016/j.jenvman.2024.122430. Epub 2024 Sep 7.
Although wind power contributes to the reduction of greenhouse gas emissions, it also has significant impacts on the local climate and vegetation. Exploring these impacts is important for the sustainable development of wind power. Therefore, based on moderate-resolution imaging spectroradiometer (MODIS) data and other remote sensing data from 2003 to 2022, this paper investigated the impacts of 101 grassland wind farms (WFs) in Inner Mongolia on land-atmosphere water and heat exchange, vegetation growth, ecosystem primary productivity, and vegetation structural characteristics during the growing season and revealed the spatial distribution patterns of the impacts of WFs as well as differences between different types of grasslands. The results indicated that WFs increased the nighttime land surface temperature (LST), decreased evapotranspiration (ET), inhibited vegetation growth, decreased gross primary productivity (GPP), and reduced the leaf area index (LAI) in growing season grasslands. This effect varied across different types of grasslands and showed significant complexity. In terms of land-atmosphere water and heat exchange, nighttime LST increases and ET decreases were significant in the typical steppe but not in the meadow steppe. In terms of vegetation change, meadow steppe had the most inhibited vegetation growth and the greatest reduction in GPP. In terms of the impact range, WFs on typical steppe and meadow steppe have opposite effects on vegetation growth and ecosystem primary productivity inside and outside of them, i.e., they inhibit vegetation growth and reduce GPP inside the WF areas but promote vegetation growth and increase GPP outside the WF areas. Compared with previous studies, this study analyzed multiple climate and vegetation indicators based on many WF samples, which reduced the uncertainty associated with a single sample and provided more comprehensive and comparable observations of different types of grasslands. These findings can help to balance the relationship between wind power development and ecological protection.
尽管风能有助于减少温室气体排放,但它也对当地气候和植被产生重大影响。探讨这些影响对于风能的可持续发展至关重要。因此,本研究基于中等分辨率成像光谱仪(MODIS)数据和其他 2003 年至 2022 年的遥感数据,调查了内蒙古 101 个草原风力发电场(WF)对陆气水热交换、植被生长、生态系统初级生产力和植被结构特征的影响,揭示了 WF 影响的空间分布模式以及不同类型草原之间的差异。结果表明,WF 增加了夜间地表温度(LST),减少了蒸散(ET),抑制了植被生长,降低了总初级生产力(GPP),并减少了生长季草地的叶面积指数(LAI)。这种影响因不同类型的草原而异,表现出显著的复杂性。在陆气水热交换方面,典型草原的夜间 LST 增加和 ET 减少显著,但草甸草原则不然。在植被变化方面,草甸草原的植被生长抑制最大,GPP 降低最大。在影响范围方面,典型草原和草甸草原的 WF 对其内部和外部的植被生长和生态系统初级生产力具有相反的影响,即在 WF 区域内抑制植被生长并降低 GPP,而在 WF 区域外则促进植被生长并增加 GPP。与以往研究相比,本研究基于多个 WF 样本分析了多个气候和植被指标,降低了单个样本的不确定性,为不同类型的草原提供了更全面和可比的观测结果。这些发现有助于平衡风力发电发展与生态保护之间的关系。