Remote sensing and ecological models: an integrated approach to analysis of wetlands

我们的研究项目开发了一系列生态指标来帮助确定五大湖盆地沿海湿地的质量，因为这些是鱼类和候鸟的关键栖息地，它们的质量已经因人类活动而退化，特别是在安大略省南部。这套指标包括水质指数(WQI)，这是一种水质损害指标，被发现与流域土地利用变化直接相关。由于WQI可能过于昂贵和劳力密集，不能被环境机构常规使用，我们也开发了两个生态指数，即湿地鱼类指数和湿地大型植物指数，这两个指数在统计上与WQI相关，可以根据鱼类或大型植物物种的存在/不存在来计算。我们还发表了大量关于水位波动对滨海湿地新兴植被的控制作用的论文，特别是与退化的沼泽有关的影响。2005年，我们使用了一种新的方法来预测水位的影响，这涉及到一个新术语的计算，即“淹没面积”。我们后来证实，沼泽淹没模型可以应用于其他五大湖地区的许多沼泽，该方法也可以用于在景观水平上评估多种应激因素(如水位、人类干扰和外来入侵)的影响。我们现在建议使用一种综合的方法，包括地理信息系统、遥感技术和使用Scuba的实地观测，以量化沿海湿地的鱼类和鸟类栖息地。选择遥感是为了开发一种具有成本效益的方法来绘制整个大湖规模的水生植被(不同栖息地类别)。我的长期目标是推进生态指标和遥感的使用，以测量鱼类和鸟类的栖息地如何随着时间的推移而变化。这项研究预计将对加拿大政府预测我们的自然遗产因应加拿大人口最稠密地区的气候变化和土地利用变化而发生重大变化的能力产生影响。

Our research program has developed a series of ecological indicators to help determine quality of coastal wetlands in the Great Lakes basin because these are critical habitats for fish and migratory birds and their quality has been degraded by human activities, especially in southern Ontario. The suite of indicators include the Water Quality Index (WQI), an indicator of water quality impairment and which was found to be directly related to watershed land-use alteration. Since the WQI may be too costly and labour-intensive to be used routinely by environmental agencies, we have also developed two ecological indices, the Wetland Fish Index, and the Wetland Macrophyte Index, which are statistically related to the WQI, and which can be calculated based on presence/absence of fish or macrophyte species. We have also contributed numerous papers on the controlling effect of water level fluctuations on emergent vegetation in coastal wetlands, particularly as it pertains to degraded marshes. In 2005, we used a new approach to predict the effect of water levels, which involved the calculation of a new term called "inundated area". We have since confirmed that the marsh inundation model can be applied to many marshes in other Great Lakes areas, and that this method can also be used to assess the effects of multiple stressors (e.g. water level, human disturbance and exotic invasions) at the landscape level. We now propose to use an integrated approach involving Geographical Information Systems, remote sensing technology and field observations using SCUBA to quantify fish and bird habitat in coastal wetlands. Remote sensing is chosen to develop a cost-effective way to map aquatic vegetation (different habitat classes) at the scale of an entire Great Lake. My long term goal is to advance the use of ecological indicators and remote sensing to meaure how fish and bird habitat change through time. This research is expected to have an impact on the ability of Canadian governments to anticipate major changes in our natural heritage in response to climate change and land-use alterations in the most heavily populated region of Canada.