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首页> 外文期刊>Marine ecology >Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
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Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea

机译：模拟环境和天气因素对侵入性多毛型短毛小球菌密度的影响

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摘要

The inter-tidal zone around sewage discharges in a Southwest Atlantic shore (Mar del Plata, Argentina) is currently colonized by extensive inter-tidal reefs of the invasive spionid Boccardia proboscidea. Understanding the links between both human and natural disturbances and the massive development of non-indigenous species will help prevent marine bioinvasions, which are already favoured by global oceanic trade. We present herein predictive models for variations in the density of B. proboscidea around sewage discharges of Mar del Plata, using environmental (pH, turbidity, temperature, salinity and total organic matter content), weather (wind direction and storm records), spatial (sites) and temporal (season and year) variables. Density variations were modelled by generalized linear models, and model averaging (multimodel inference) was used to obtain predicted values. The highest predicted values of B. proboscidea density occurred at sites to the south of the sewage effluent in spring. These sites are more affected by urban effluent discharges and they showed increased B. proboscidea density when the north wind was predominant. In addition, B. proboscidea density values were higher in sites with 20-22 degrees C (sea-water temperature), high total organic matter content in sediments and low salinity. The averaged model was only a good 'predictive model' for sites to the north of the outfall, but was useful as an 'explanatory model' in all sites. Such predictions may help to back up conservation and management policies and decisions.
机译：在西南大西洋沿岸（阿根廷马德普拉塔），污水排放周围的潮间带目前被侵入性偶发性早发型博卡迪虫（Boccardia proboscidea）的潮间带大礁所定殖。了解人为和自然干扰之间的联系以及非土著物种的大规模发展将有助于防止海洋生物入侵，而海洋生物入侵已经受到全球海洋贸易的青睐。我们使用环境（pH值，浊度，温度，盐度和总有机质含量），天气（风向和暴风记录），空间（网站）和时间（季节和年份）变量。通过广义线性模型对密度变化进行建模，并使用模型平均（多模型推断）获得预测值。在春季，污水中以南地区的原虫B. proboscidea密度最高预测值。这些地点受城市污水排放的影响更大，当北风为主时，它们显示出长鼻隐孢子虫的密度增加。此外，在温度为20-22摄氏度（海水温度），沉积物中总有机物含量高且盐度低的地区，长白僵菌的密度值较高。平均模型只是排污口北部站点的良好“预测模型”，但在所有站点中均可用作“解释模型”。这样的预测可能有助于备份保护和管理政策与决策。

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  • 来源
    《Marine ecology》 |2016年第6期|1256-1265|共10页
  • 作者

    Garaffo Griselda V.; Jaubet Maria L.; Sanchez Maria A.; Llanos Elizabeth N.; Vallarino Eduardo A.; Elias Rodolfo;

  • 作者单位

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

    Univ Nacl Mar del Plata, Fac Ciencias Exactas & Nat, Dept Ciencias Marinas, Inst Invest Marinas & Costeras IIMyC, Mar Del Plata, Buenos Aires, Argentina|Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina;

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  • 正文语种 eng
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  • 关键词

    Boccardia proboscidea; invasive species; multimodel inference; sewage-dependent process; SW Atlantic;

    机译：乳头状假单胞菌;入侵物种;多模型推断;依赖污水的过程;西南大西洋;

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