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首页> 外文期刊>Journal of sea research >Quantitative assessment of intertidal blue mussel (Mytilus edulis L.) stocks: combined methods of remote sensing, field investigation and sampling
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Quantitative assessment of intertidal blue mussel (Mytilus edulis L.) stocks: combined methods of remote sensing, field investigation and sampling

机译:潮间蓝贻贝(Mytilus edulis L.)种群的定量评估:遥感,现场调查和抽样相结合的方法

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摘要

The aim of this investigation was to develop appropriate methods for quantitative assessment of blue mussel beds. Combined methods of remote sensing, ground truth investigation and sampling in the field were applied to mature and young intertidal mussel beds. Three variables were measured to obtain reliable quantitative estimates of biomass and abundance: the total area covered by a bed; the cover, i.e. the area of mussel-covered patches in relation to the total mussel bed area; and the proportion, i.e. the area covered by mussels within the patches in relation to the total area of mussel patches. Cover and proportion of intertidal blue mussel beds were measured in the field by the transection method. Aerial photographs enabled the total area of the beds to be determined and large-scale surveys of mussel beds to be carried out synchronously. By examining large-scale aerial photographs it was possible also to determine the cover by remote sensing. The proportion could not be derived from aerial photographs, even from pictures at the largest scale tested during this investigation (scale 1:2500). By statistical methods it was estimated that 12 sub-samples (each covering 177 cm ) from mature beds, and 12 sub-samples (each covering 38 cm~2) from young beds are needed to obtain reliable data on biomass and abundance.
机译:这项调查的目的是开发定量评估蓝贻贝床的适当方法。将遥感,地面实况调查和野外采样相结合的方法应用于成熟和年轻的潮间贻贝床。测量了三个变量,以获得可靠的生物量和丰度定量估计值:覆盖物,即相对于贻贝总床面积的贻贝覆盖斑块的面积;比例,即斑块内贻贝覆盖的面积相对于贻贝斑的总面积。通过横切法在野外测量潮间带蓝色贻贝床的覆盖率和比例。航拍照片可以确定病床的总面积,并且可以同步进行贻贝床的大规模调查。通过检查大型航空照片,还可以通过遥感确定覆盖范围。即使从航拍照片中得出的比例也无法得出,即使从本次调查中测试的最大比例(比例为1:2500)也无法得出。通过统计方法,估计需要12个来自成熟床的子样本(每个覆盖177 cm)和来自年轻床的12个子样本(每个覆盖38 cm〜2)以获得可靠的生物量和丰度数据。

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