Mapping the spatial distribution of the biomass and filter‐feeding effect of invasive dreissenid mussels on the winter‐spring phytoplankton bloom in Lake Michigan
Mapping the spatial distribution of the biomass and filter‐feeding effect of invasive dreissenid mussels on the winter‐spring phytoplankton bloom in Lake Michigan
复制标题
绘制生物量的空间分布和入侵德莱森贻贝对密歇根湖冬春季浮游植物水华的滤食效应
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
W. Charles Kerfoot
中科院分区：
文献类型：
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作者：
Mark D. Rowe;D. Obenour;T. Nalepa;H. Vanderploeg;Foad Yousef;W. Charles Kerfoot
入侵双壳类Dreissena polymorpha（斑马贻贝）和Dreissena rostriformis bugensis（斑驴贻贝）对包括密歇根湖在内的水生生态系统的影响是科学家和资源管理人员当前感兴趣的一个话题。我们假设，冬春浮游植物水华在密歇根湖减少的位置，其中部分的水柱每天清除Dreissena过滤器喂养接近浮游植物的净增长率，当水柱不分层。为了验证这一假设，我们比较了Dreissena滤食强度的空间分布（由地质统计学建模确定）与叶绿素的空间分布（由卫星遥感确定）。为了绘制Dreissena生物量和滤食性强度的空间分布，我们根据1994/1995年，2000年，2005年和2010年在密歇根湖测量的贻贝生物量的点观测值开发了一个地质统计模型。该模型提供了调查年份生物量空间分布的精细估计，并提供了全湖和次区域内总生物量的估计值及其不确定性。所概述的方法可以更普遍地应用于从点观测绘制湖泊底栖生物群分布图。根据地质统计学模型估计，密歇根湖Dreissena的总生物量在每五年期间显着增加。1994/1995年，以10千克无灰干物质（AFDM）为单位的总生物量（90%置信区间）为6（4-8），2000年为18（14-23），2005年为408（338-485），2010年为610（547-680）。从1994/1995年到2005年，在湖泊的所有区域（北方、中部和南部）和所有深度区（90）都观察到了增加。然而，从2005年到2010年，对于50米的深度。Dreissena的滤食性强度超过了2005年深度<50 m（全湖）的基准春季浮游植物生长率0.06天。2010年，在深度<90 m（全湖）内，滤食性影响超过0.06天²，这相对于2005年大大增加了受影响的空间面积。回归分析表明，在水柱未分层的时期（12月至4月），卫星衍生叶绿素浓度（前D. r. bugensis时期至后D. r. bugensis时期）的减少与空间共位滤食强度（每天清除的水柱分数）之间存在显着关系。
The effects of the invasive bivalves Dreissena polymorpha (zebra mussel) and Dreissena rostriformis bugensis (quagga mussel) on aquatic ecosystems, including Lake Michigan, are a topic of current interest to scientists and resource managers. We hypothesised that the winter–spring phytoplankton bloom in Lake Michigan is reduced at locations where the fraction of the water column cleared per day by Dreissena filter feeding approached the net growth rate of phytoplankton, when the water column was not stratified. To test this hypothesis, we compared the spatial distribution of Dreissena filter‐feeding intensity (determined from geostatistical modelling) to the spatial distribution of chlorophyll (determined from satellite remote sensing). To map the spatial distribution of Dreissena biomass and filter‐feeding intensity, we developed a geostatistical model based on point observations of mussel biomass measured in Lake Michigan in 1994/1995, 2000, 2005 and 2010. The model provided fine‐scale estimates of the spatial distribution of biomass for the survey years and provided estimates, with their uncertainty, of total biomass lakewide and within subregions. The approach outlined could be applied more generally to map the distribution of benthic biota in lakes from point observations. Total biomass of Dreissena in Lake Michigan, estimated from the geostatistical model, increased significantly over each five‐year period. The total biomass in units of 10⁶ kg ash‐free dry mass (AFDM) (with 90% confidence interval) was 6 (4–8) in 1994/1995, 18 (14–23) in 2000, 408 (338–485) in 2005 and 610 (547–680) in 2010. From 1994/1995 to 2005, increases were observed in all regions of the lake (northern, central and southern) and in all depth zones ( 90). However, from 2005 to 2010, for depths of 50 m. The filter‐feeding intensity of Dreissena exceeded the benchmark spring phytoplankton growth rate of 0.06 day⁻¹ in 2005 for depths <50 m (lakewide). In 2010, the filter‐feeding impact exceeded 0.06 day⁻¹ within depths <90 m (lakewide), which greatly increased the spatial area affected relative to 2005. A regression analysis indicated a significant relationship between the reduction in satellite‐derived chlorophyll concentration (pre‐D. r. bugensis period to post‐D. r. bugensis period) and spatially co‐located filter‐feeding intensity (fraction of water column cleared per day) during periods when the water column was not stratified (December to April).