School of Earth and Environmental Science, University of Wollongong, Wollongong, NSW, 2522, Australia.
Sci Rep. 2018 Jan 22;8(1):1369. doi: 10.1038/s41598-018-19695-2.
Models are used to project coastal wetland distribution under future sea-level rise scenarios to assist decision-making. Model validation and comparison was used to investigate error and uncertainty in the Sea Level Affecting Marshes Model, a readily available model with minimal validation, particularly for wetlands beyond North America. Accurate parameterisation is required to improve the performance of the model, and indeed any spatial model. Consideration of tidal attenuation further enhances model performance, particularly for coastal wetlands located within estuaries along wave-dominated coastlines. The model does not simulate vegetation changes that are known to occur, particularly when sedimentation exceeds rates of sea-level rise resulting in shoreline progradation. Model performance was reasonable over decadal timescales, decreasing as the time-scale of retrospection increased due to compounding of errors. Comparison with other deterministic models showed reasonable agreement by 2100. However, given the uncertainty of the future and the unpredictable nature of coastal wetlands, it is difficult to ascertain which model could be realistic enough to meet its intended purpose. Model validation and comparison are useful for assessing model efficacy and parameterisation, and should be applied before application of any spatially explicit model of coastal wetland response to sea-level rise.
模型被用于预测未来海平面上升情景下的沿海湿地分布,以辅助决策。模型验证和比较用于研究海平面影响湿地模型(一种现成的模型,验证很少,特别是对于北美以外的湿地)中的误差和不确定性。准确的参数化是提高模型性能的关键,实际上也是任何空间模型的关键。考虑潮汐衰减可以进一步提高模型性能,特别是对于位于波浪主导海岸线河口内的沿海湿地。该模型不能模拟已知的植被变化,特别是在泥沙淤积超过海平面上升速度导致海岸线前进时。该模型在数十年的时间尺度内表现良好,但随着回溯时间尺度的增加,由于误差的累积,模型性能下降。与其他确定性模型的比较表明,到 2100 年,模型的一致性较好。然而,考虑到未来的不确定性和沿海湿地的不可预测性,很难确定哪种模型足够现实,可以满足其预期目的。模型验证和比较对于评估模型效果和参数化非常有用,并且应该在应用任何专门用于研究海平面上升对沿海湿地影响的空间模型之前进行。