School of Engineering and Centre for Water Security and Environmental Sustainability, The University of Newcastle, Australia.
School of Engineering and Centre for Water Security and Environmental Sustainability, The University of Newcastle, Australia.
Sci Total Environ. 2020 Jul 15;726:138581. doi: 10.1016/j.scitotenv.2020.138581. Epub 2020 Apr 12.
Dryland wetlands are ecosystems of high ecological importance as they serve as habitat sanctuaries for aquatic and terrestrial biota in areas with very few resources; therefore, the study of such environments is of major importance for the conservation of biodiversity in arid and semi-arid areas. The vegetation organization in these ecosystems is driven by the water regime as the main driver, but local processes like seed banks and soil resources redistribution also play a crucial role in determining the spatial distribution of the vegetation. Assessment of vegetation dynamics and long-term resilience requires the use of realistic models that can integrate the water regime and that can continuously simulate vegetation extent and conditions under flood-drought cycles. Here we study the influence of the water regime as the main driver of the vegetation. We apply a vegetation-modelling framework to compare the performance of a simplified model at the cell scale and a model integrated at a patch scale. Our results show that aggregating the analysis of vegetation dynamics at the patch scale allows for the incorporation of the effects of both local drivers (acting within the patch) as well as the global drivers (acting over the patch as a whole). The water regime acts as a global driver for the vegetation and indirectly affects the local drivers. Our patch scale model successfully captures wetland vegetation dynamics using the water regime as the main driver for representing changes in the vegetation and assessment of the wetland resilience under flood-drought periods.
旱地湿地是具有高度生态重要性的生态系统,因为它们是在资源非常有限的地区为水生和陆生生物群提供栖息地庇护所;因此,研究这些环境对于保护干旱和半干旱地区的生物多样性具有重要意义。这些生态系统中的植被组织受水状况的驱动,水状况是主要驱动因素,但局部过程,如种子库和土壤资源再分配,在决定植被的空间分布方面也起着至关重要的作用。评估植被动态和长期恢复力需要使用能够整合水状况并能够连续模拟洪水干旱周期下植被范围和条件的现实模型。在这里,我们研究了水状况作为植被主要驱动因素的影响。我们应用植被建模框架来比较细胞尺度简化模型和斑块尺度集成模型的性能。我们的结果表明,在斑块尺度上汇总植被动态分析可以将局部驱动因素(在斑块内起作用)和全局驱动因素(作为整体作用于斑块)的影响结合起来。水状况是植被的全局驱动因素,间接影响局部驱动因素。我们的斑块尺度模型成功地利用水状况作为主要驱动因素来代表植被变化,并评估湿地在洪水干旱期间的恢复力。