Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales.
Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales.
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DOI：
10.1371/journal.pone.0012946
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发表时间：
2010-09-23
期刊：
影响因子：
3.7
通讯作者：
Maggi E
中科院分区：
文献类型：
--
作者：
Benedetti-Cecchi L;Iken K;Konar B;Cruz-Motta J;Knowlton A;Pohle G;Castelli A;Tamburello L;Mead A;Trott T;Miloslavich P;Wong M;Shirayama Y;Lardicci C;Palomo G;Maggi E
本研究探讨了岩石海岸多毛类组合和环境变量之间的空间关系，在广泛的地理尺度，使用海洋生物普查NaGISA（自然地理在海岸地区）研究计划编制的数据库。该数据库包括丰富的措施，多毛类分类在属和科的水平，分别为74和93个网站，从9个地理区域。我们测试的一般假设，一组环境变量的出现，作为潜在的重要驱动程序的变化多毛类动物组合取决于所考虑的空间尺度。通过Moran的特征向量图，我们确定了三个子模型，反映洲际（>10000公里），大陆（1000-5000公里）和区域（20-500公里）尺度的采样点之间的空间关系。使用冗余分析，我们发现，大多数环境变量有助于解释一个大的和显着比例的变化的洲际子模型的属和科（分别为54%和53%）。这些变量的一个子集，有机污染，无机污染，初级生产力和养分污染也显着相关的空间变异在大陆尺度上，解释25%和32%的变异在属和科的水平，分别。因此，在预测多毛类群落的大规模空间格局时，最好考虑到这些变量，因为它们与环境条件正在发生或预测的变化有关。本研究中考虑的变量均与区域子模型无关。
This study examined spatial relationships between rocky shore polychaete assemblages and environmental variables over broad geographical scales, using a database compiled within the Census of Marine Life NaGISA (Natural Geography In Shore Areas) research program. The database consisted of abundance measures of polychaetes classified at the genus and family levels for 74 and 93 sites, respectively, from nine geographic regions. We tested the general hypothesis that the set of environmental variables emerging as potentially important drivers of variation in polychaete assemblages depend on the spatial scale considered. Through Moran's eigenvector maps we indentified three submodels reflecting spatial relationships among sampling sites at intercontinental (>10000 km), continental (1000–5000 km) and regional (20–500 km) scales. Using redundancy analysis we found that most environmental variables contributed to explain a large and significant proportion of variation of the intercontinental submodel both for genera and families (54% and 53%, respectively). A subset of these variables, organic pollution, inorganic pollution, primary productivity and nutrient contamination was also significantly related to spatial variation at the continental scale, explaining 25% and 32% of the variance at the genus and family levels, respectively. These variables should therefore be preferably considered when forecasting large-scale spatial patterns of polychaete assemblages in relation to ongoing or predicted changes in environmental conditions. None of the variables considered in this study were significantly related to the regional submodel.
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