Schaeffer Blake A, Urquhart Erin, Coffer Megan, Salls Wilson, Stumpf Richard P, Loftin Keith A, Werdell P Jeremy
Office of Research and Development, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Durham, NC 27709, United States.
Science Systems and Applications, Inc., Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States.
Ecol Indic. 2022 Jul 1;140:1-14. doi: 10.1016/j.ecolind.2022.108990.
Previous studies indicate that cyanobacterial harmful algal bloom (cyanoHAB) frequency, extent, and magnitude have increased globally over the past few decades. However, little quantitative capability is available to assess these metrics of cyanoHABs across broad geographic scales and at regular intervals. Here, the spatial extent was quantified from a cyanobacteria algorithm applied to two European Space Agency satellite platforms-the MEdium Resolution Imaging Spectrometer (MERIS) onboard Envisat and the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3. CyanoHAB spatial extent was defined for each geographic area as the percentage of valid satellite pixels that exhibited cyanobacteria above the detection limit of the satellite sensor. This study quantified cyanoHAB spatial extent for over 2,000 large lakes and reservoirs across the contiguous United States (CONUS) during two time periods: 2008-2011 via MERIS and 2017-2020 via OLCI when cloud-, ice-, and snow-free imagery was available. Approximately 56% of resolvable lakes were glaciated, 13% were headwater, isolated, or terminal lakes, and the rest were primarily drainage lakes. Results were summarized at national-, regional-, state-, and lake-scales, where regions were defined as nine climate regions which represent climatically consistent states. As measured by satellite, changes in national cyanoHAB extent did have a strong increase of 6.9% from 2017 to 2020 (|Kendall's (τ)| = 0.56; () = 2.87 years), but had negligible change (|| = 0.03) from 2008 to 2011. Two of the nine regions had moderate (0.3 ≤ || < 0.5) increases in spatial extent from 2017 to 2020, and eight of nine regions had negligible (|| < 0.2) change from 2008 to 2011. Twelve states had a strong or moderate increase from 2017 to 2020 (|| ≥ 0.3), while only one state had a moderate increase and two states had a moderate decrease from 2008 to 2011. A decrease, or no change, in cyanoHAB spatial extent did not indicate a lack of issues related to cyanoHABs. Sensitivity results of randomly omitted daily CONUS scenes confirm that even with reduced data availability during a short four-year temporal assessment, the direction and strength of the changes in spatial extent remained consistent. We present the first set of national maps of lake cyanoHAB spatial extent across CONUS and demonstrate an approach for quantifying past and future changes at multiple spatial scales. Results presented here provide water quality managers information regarding current cyanoHAB spatial extent and quantify rates of change.
以往的研究表明,在过去几十年里,全球范围内蓝藻有害藻华(cyanoHAB)的发生频率、范围和规模都有所增加。然而,在广泛的地理尺度上并定期评估这些蓝藻有害藻华指标的定量能力却很有限。在此,我们通过应用于两个欧洲航天局卫星平台的蓝藻算法对空间范围进行了量化,这两个平台分别是搭载在环境卫星上的中分辨率成像光谱仪(MERIS)和搭载在哨兵-3卫星上的海洋和陆地颜色仪器(OLCI)。每个地理区域的蓝藻有害藻华空间范围定义为卫星传感器检测限以上显示蓝藻的有效卫星像素的百分比。本研究在两个时间段内对美国本土(CONUS)2000多个大型湖泊和水库的蓝藻有害藻华空间范围进行了量化:2008 - 2011年通过MERIS数据,2017 - 2020年通过OLCI数据,且使用的是无云、无冰和无雪的图像。大约56%可分辨的湖泊是冰川湖,13%是源头湖、孤立湖或终端湖,其余主要是排水湖。结果在国家、区域、州和湖泊尺度上进行了总结,其中区域被定义为九个气候区域,代表气候一致的州。通过卫星测量,从2017年到2020年,全国蓝藻有害藻华范围有显著增加,增幅为6.9%(肯德尔秩相关系数(τ)= 0.56;周期(λ)= 2.87年),但在2008年到2011年期间变化可忽略不计(|λ| = 0.03)。九个区域中的两个区域在2017年到2020年期间空间范围有中等程度增加(0.3 ≤ |λ| < 0.5),九个区域中的八个区域在2008年到2011年期间变化可忽略不计(|λ| < 0.2)。从2017年到2020年,有12个州有显著或中等程度增加(|λ| ≥ 0.3),而在2008年到2011年期间,只有一个州有中等程度增加,两个州有中等程度减少。蓝藻有害藻华空间范围的减少或没有变化并不表明不存在与蓝藻有害藻华相关的问题。随机省略美国本土每日场景的敏感性结果证实,即使在短短四年的时间评估中数据可用性降低,空间范围变化的方向和强度仍然保持一致。我们展示了美国本土湖泊蓝藻有害藻华空间范围的第一套全国地图,并展示了一种在多个空间尺度上量化过去和未来变化的方法。这里呈现的结果为水质管理人员提供了有关当前蓝藻有害藻华空间范围的信息,并量化了变化率。