水文变化下澳大利亚北部水生生境生境适宜性模拟

D. Stratford, S. Linke, L. Merrin, S. Lachish, F. Karim, S. K. Csiro, Australia
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引用次数: 0

摘要

河流流量对于驱动许多水生依赖物种的状况和持久性、支持栖息地和促进生态系统功能具有重要意义。在澳大利亚北部的热带地区,水流状态是高度动态的,具有强烈的季节性趋势。在这些季节性制度下,物种寻找和使用最适合它们需要的河道和洪泛平原上的栖息地。被认为适合物种生存的栖息地的位置和范围随着时间的推移而变化,这取决于水流状况和景观特征之间的相互作用。与水资源开发和气候变化相关的流量变化可能会改变一系列依赖流量的物种适宜栖息地的质量、范围和/或位置。尽管流量具有重要的生态意义,但量化水文变化与生态结果之间的关系仍然是一个挑战。物种与自然环境的相互作用是不同的,并且在包括淹没、深度、速度和连通性在内的栖息地属性范围内具有不同的偏好和要求。包括鱼类、水鸟和其他生物群在内的物种被认为是基于这些物理条件形成空间关系的。复杂的景观和高度可变的水流状态意味着水流和地貌之间的相互作用导致不同环境下不同的水文和水力特征,在许多新环境中,单独的流量往往不能很好地代表生态结果。我们概念理解的提高表明,生态流量需求与地貌和景观流动动力学有着复杂的关系,其响应通常与流量有关(Theodoropoulos, 2020;惠普尔,2018)。水动力模型提供了一种机制,可以通过空间和时间来探索这些属性的变化及其生态关系,并在考虑这些复杂地貌环境的同时,使分析能够比较不同情景之间的差异。在这里,我们使用水动力(HD)模型的深度和速度输出来模拟水流生境适宜性。我们利用野外数据和/或文献提供的物种或功能群特定栖息地偏好关系,提供HD模型中水力变量之间的机制联系,以预测栖息地适宜性。这些关系的形式可以用于一系列生物群,如鱼类和水鸟,其中深度和速度是生境偏好和适宜性的重要决定因素。根据每个网格单元中每个物种的特定水力偏好,以0(不适合)到1(首选)的尺度对每个物种进行流量生境适宜性评级,并在不同情景之间进行比较,以确定不同情景之间加权生境适宜性的损失或收益。模型结果表示为适合生境在每日时间步长的空间表示。空间分辨率和区域由水动力模型定义。我们使用北澳大利亚水资源评估1 (Karim等人,2018)的芬兰集水区模型展示了产出,并讨论了该方法在罗珀和维多利亚集水区即将开展的工作中的作用。
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Modelling habitat suitability under hydrological change in aquatic habitats of northern Australia
: River flows are important for driving the condition and persistence of many aquatic dependent species, to support habitats, and to facilitate ecosystem function. In the tropics of northern Australia, flow regimes are highly dynamic with strong seasonal trends. Within these seasonal regimes, species seek and use habitats across river channels and floodplains that best suit their needs. The habitat that is deemed suitable for species varies in location and extent across time, depending on interactions between flow regimes and landscape features. Changes in flow associated with water resource development and climate change threaten to change the quality, extent and/or location of suitable habitat for a range of flow dependent species. Despite the ecological importance of flow, quantifying the relationships between hydrological change and ecological outcomes remains a challenge. Species interact with their physical environment differently and have diverse preferences and requirements across ranges of habitat attributes that include inundation, depth, velocity and connectivity. Species, including fish, waterbirds and other biota are recognised to form spatial relationships based upon these physical conditions. Complex landscapes and highly variable flow regimes mean that interactions between flow and geomorphology result in different hydrological and hydraulic characteristics across different settings, often making discharge alone a poor proxy for ecological outcomes in many novel settings. Improvement in our conceptual understanding indicates that ecological flow requirements have a complex relationship with geomorphology and flow dynamics through the landscape, with responses often being non-linear in relation to discharge (Theodoropoulos, 2020; Whipple, 2018). Hydrodynamic modelling provides a mechanism to explore changes in these attributes and their ecological relationships through space and time, and to enable analysis to compare differences between scenarios while considering these complex geomorphological settings. Here we model flow habitat suitability using depth and velocity outputs from hydrodynamic (HD) models. We use species or functional groups specific habitat preference relationships informed by field data and/or literature to provide mechanistic links between hydraulic variables from HD modelling to predict habitat suitability. The form of these relationships can be used for a range of biota such as fish and waterbirds where depth and velocity are important determinants of habitat preference and suitability. Flow habitat suitability is rated on a scale of 0 (not suitable) to 1 (preferred) for each species given their specific hydraulic preferences at each grid cell, and compared between scenarios to identify the loss or gain of weighted habitat suitability between scenarios. Model results are expressed as spatial representations of suitable habitat across time at daily timesteps. The spatial resolution and domain are defined by the hydrodynamic model. We demonstrate outputs using models for the Finniss catchment from the Northern Australia Water Resource Assessment 1 (Karim et al., 2018) and discuss the methods role in the upcoming work in the Roper and Victoria catchments.
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