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本文引用的文献

1
Suppression of the 2010 bloom by changes in physical, biological, and chemical properties of the Gulf of Maine.缅因湾物理、生物和化学性质的变化对2010年藻华的抑制作用。
Limnol Oceanogr. 2011 Nov;56(6):2411-2426. doi: 10.4319/lo.2011.56.6.2411. Epub 2011 Nov 7.
2
Model Simulations of the Bay of Fundy Gyre: 2. Hindcasts for 2005-2007 Reveal Interannual Variability in Retentiveness.芬迪湾环流的模型模拟:2. 2005 - 2007年的后报揭示了滞留性的年际变化。
J Geophys Res. 2009 Sep;114(C9). doi: 10.1029/2008JC004948. Epub 2009 Sep 3.
3
Gulf of Maine Harmful Algal Bloom in summer 2005 - Part 2: Coupled Bio-physical Numerical Modeling.2005年夏季缅因湾有害藻华 - 第2部分:生物物理耦合数值模拟
J Geophys Res. 2008 Jul;113(C7). doi: 10.1029/2007JC004602. Epub 2008 Jul 26.
4
Model Simulations of the Bay of Fundy Gyre: 1. Climatological Results.芬迪湾环流的模型模拟:1. 气候学结果。
J Geophys Res. 2008 Oct;113(C10). doi: 10.1029/2007JC004480. Epub 2008 Oct 29.
5
Benthic nepheloid layers in the Gulf of Maine and cyst inventories.缅因湾的底栖 nepheloid 层和囊肿清单。
Deep Sea Res 2 Top Stud Oceanogr. 2014 May;103:55-65. doi: 10.1016/j.dsr2.2013.05.021.
6
Investigating the importance of sediment resuspension in cyst population dynamics in the Gulf of Maine.研究缅因湾沉积物再悬浮在囊肿种群动态中的重要性。
Deep Sea Res 2 Top Stud Oceanogr. 2014 May 1;103:79-95. doi: 10.1016/j.dsr2.2013.10.011.
7
Categorizing the severity of paralytic shellfish poisoning outbreaks in the Gulf of Maine for forecasting and management.对缅因湾麻痹性贝类中毒事件的严重程度进行分类,以用于预测和管理。
Deep Sea Res 2 Top Stud Oceanogr. 2014 May 1;103:277-287. doi: 10.1016/j.dsr2.2013.03.027.
8
cysts in the Gulf of Maine: long-term time series of abundance and distribution, and linkages to past and future blooms.缅因湾的囊肿:丰度和分布的长期时间序列,以及与过去和未来水华的联系。
Deep Sea Res 2 Top Stud Oceanogr. 2014 May 1;103:6-26. doi: 10.1016/j.dsr2.2013.10.002.
9
Interannual variability in the timing of New England shellfish toxicity and relationships to environmental forcing.新英格兰贝类毒素时间的年际变化及其与环境胁迫的关系。
Sci Total Environ. 2013 Mar 1;447:255-66. doi: 10.1016/j.scitotenv.2013.01.023. Epub 2013 Feb 4.
10
Are Pyrodinium blooms in the Southeast Asian region recurring and spreading? A view at the end of the millennium.东南亚地区的巴哈马梨甲藻藻华是否正在反复出现并扩散?千禧年末的观点。
Ambio. 2001 Sep;30(6):356-64.

了解缅因湾麻痹性贝类中毒毒性的年际、年代际水平变化:有害藻华指数

Understanding interannual, decadal level variability in paralytic shellfish poisoning toxicity in the Gulf of Maine: the HAB Index.

作者信息

Anderson Donald M, Couture Darcie A, Kleindinst Judith L, Keafer Bruce A, McGillicuddy Dennis J, Martin Jennifer L, Richlen Mindy L, Hickey J Michael, Solow Andrew R

机构信息

Woods Hole Oceanographic Institution, Woods Hole, MA 02543 USA.

Former affiliation: Maine Department of Marine Resources, West Boothbay Harbor, ME 04605, USA.

出版信息

Deep Sea Res 2 Top Stud Oceanogr. 2014 May 1;103:264-276. doi: 10.1016/j.dsr2.2013.09.018.

DOI:10.1016/j.dsr2.2013.09.018
PMID:24948849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4058790/
Abstract

A major goal in harmful algal bloom (HAB) research has been to identify mechanisms underlying interannual variability in bloom magnitude and impact. Here the focus is on variability in blooms and paralytic shellfish poisoning (PSP) toxicity in Maine, USA, over 34 years (1978 - 2011). The Maine coastline was divided into two regions -eastern and western Maine, and within those two regions, three measures of PSP toxicity (the percent of stations showing detectable toxicity over the year, the cumulative amount of toxicity per station measured in all shellfish (mussel) samples during that year, and the duration of measurable toxicity) were examined for each year in the time series. These metrics were combined into a simple HAB Index that provides a single measure of annual toxin severity across each region. The three toxin metrics, as well as the HAB Index that integrates them, reveal significant variability in overall toxicity between individual years as well as long-term, decadal patterns or regimes. Based on different conceptual models of the system, we considered three trend formulations to characterize the long-term patterns in the Index - a three-phase (mean-shift) model, a linear two-phase model, and a pulse-decline model. The first represents a "regime shift" or multiple equilibria formulation as might occur with alternating periods of sustained high and low cyst abundance or favorable and unfavorable growth conditions, the second depicts a scenario of more gradual transitions in cyst abundance or growth conditions of vegetative cells, and the third characterizes a "sawtooth" pattern in which upward shifts in toxicity are associated with major cyst recruitment events, followed by a gradual but continuous decline until the next pulse. The fitted models were compared using both residual sum of squares and Akaike's Information Criterion. There were some differences between model fits, but none consistently gave a better fit than the others. This statistical underpinning can guide efforts to identify physical and/or biological mechanisms underlying the patterns revealed by the HAB Index. Although cyst survey data (limited to 9 years) do not span the entire interval of the shellfish toxicity records, this analysis leads us to hypothesize that major changes in the abundance of cysts may be a primary factor contributing to the decadal trends in shellfish toxicity in this region. The HAB Index approach taken here is simple but represents a novel and potentially useful tool for resource managers in many areas of the world subject to toxic HABs.

摘要

有害藻华(HAB)研究的一个主要目标是确定藻华规模和影响的年际变化背后的机制。本文重点关注美国缅因州34年(1978 - 2011年)间藻华以及麻痹性贝类中毒(PSP)毒性的变化。缅因州海岸线被划分为两个区域——缅因州东部和西部,在这两个区域内,对时间序列中每年的三种PSP毒性指标(当年显示可检测到毒性的站点百分比、当年在所有贝类(贻贝)样本中每个站点测量的毒性累积量以及可测量毒性的持续时间)进行了检查。这些指标被合并为一个简单的藻华指数,该指数提供了每个区域年度毒素严重程度的单一度量。这三种毒素指标以及整合它们的藻华指数揭示了各年份之间以及长期十年模式或状态下总体毒性的显著变化。基于该系统的不同概念模型,我们考虑了三种趋势公式来描述指数中的长期模式——三相(均值偏移)模型、线性两阶段模型和脉冲下降模型。第一种表示“状态转移”或多重平衡公式,可能发生在持续高和低孢囊丰度交替期或有利和不利生长条件下,第二种描述了孢囊丰度或营养细胞生长条件更逐渐转变的情景,第三种描述了一种“锯齿”模式,其中毒性的上升与主要孢囊补充事件相关,随后是逐渐但持续的下降,直到下一个脉冲。使用残差平方和与赤池信息准则对拟合模型进行了比较。模型拟合之间存在一些差异,但没有一个始终比其他模型拟合得更好。这种统计基础可以指导人们努力确定藻华指数所揭示模式背后的物理和/或生物机制。尽管孢囊调查数据(限于9年)并未涵盖贝类毒性记录的整个区间,但该分析使我们假设孢囊丰度的重大变化可能是导致该地区贝类毒性十年趋势的主要因素。本文采用的藻华指数方法很简单,但对于世界上许多遭受有毒藻华影响地区的资源管理者来说,是一种新颖且可能有用的工具。