Riparian tree planting is increasingly being used as a strategy to shade river corridors and offset the impact of climate change on river temperature. Because the circumstances under which tree planting generates the greatest impact are still largely unknown, researchers are increasingly using process‐based models to simulate the impacts of tree planting (or felling) on river temperature. However, the high‐resolution data on existing riparian tree cover needed to parameterise these models can be difficult to obtain, especially in data‐sparse areas. In this paper, we compare the performance of a river temperature model parameterised with a range of different tree cover datasets, to assess whether tree cover data extracted from readily available GIS databases or coarser (i.e., 2–5 m) digital elevation products are able to generate river temperature simulations approaching the accuracy of higher resolution structure from motion (SfM) or LiDAR. Our results show that model performance for simulations incorporating these data is generally degraded in relation to LiDAR/SfM inputs and that tree cover data from “alternative” sources can lead to unexpected temperature model outcomes. We subsequently use our model to simulate the addition/removal of riparian tree cover from alongside the river channel. Simulations indicate that the vast majority of the “shading effect” is generated by tree cover within the 5‐m zone immediately adjacent to the river channel, a key finding with regards to developing efficient riparian tree planting strategies. These results further emphasise the importance of incorporating the highest possible resolution tree cover data when running tree planting/clearcutting scenario simulations.

中文翻译：

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评估不同森林覆盖地理空间数据的河岸阴影和河流温度模拟

河岸植树正越来越多地被用作遮蔽河流走廊，抵消气候变化对河流温度影响的一种策略。由于植树产生最大影响的环境仍然未知，因此研究人员越来越多地使用基于过程的模型来模拟植树（或砍伐）对河流温度的影响。然而，很难获得参数化这些模型所需的现有河岸树木覆盖物的高分辨率数据，尤其是在数据稀疏地区。在本文中，我们将参数化的河流温度模型的性能与一系列不同的树木覆盖数据集进行了比较，以评估树木覆盖数据是从容易获得的GIS数据库中提取的还是较粗略的（即，2–5 m）数字高程产品能够通过运动（SfM）或LiDAR生成逼近高分辨率结构精度的河流温度模拟。我们的结果表明，与LiDAR / SfM输入相比，合并了这些数据的仿真的模型性能通常会下降，并且“替代”来源的树木覆盖数据可能会导致意外的温度模型结果。随后，我们使用我们的模型来模拟河道旁边的河岸树木覆盖物的添加/去除。模拟表明，绝大多数“阴影效应”是由紧邻河道的5米区域内的树木覆盖物产生的，这是制定有效的河岸树木种植策略的关键发现。