Spatial Relationships between Polychaete Assemblages and Environmental Variables over Broad Geographical Scales

被引:20
作者
Benedetti-Cecchi, Lisandro [1 ]
Iken, Katrin [2 ]
Konar, Brenda [2 ]
Cruz-Motta, Juan [3 ]
Knowlton, Ann [2 ]
Pohle, Gerhard [4 ]
Castelli, Alberto [1 ]
Tamburello, Laura [1 ]
Mead, Angela [5 ]
Trott, Tom [6 ]
Miloslavich, Patricia [3 ]
Wong, Melisa [7 ]
Shirayama, Yoshihisa [8 ]
Lardicci, Claudio [1 ]
Palomo, Gabriela [9 ]
Maggi, Elena [1 ]
机构
[1] Univ Pisa, Dept Biol, CoNISMa Natl Interuniv Consortium Marine Sci, Pisa, Italy
[2] Univ Alaska Fairbanks, Sch Fisheries & Ocean Sci, Fairbanks, AK USA
[3] Univ Simon Bolivar, Dept Estudios Ambient, Ctr Biodiversidad Marina, Caracas, Venezuela
[4] Huntsman Marine Sci Ctr, Atlantic Reference Ctr, St Andrews, NB, Canada
[5] Univ Cape Town, Dept Zool, ZA-7925 Cape Town, South Africa
[6] Suffolk Univ, Dept Biol, Boston, MA 02114 USA
[7] Bedford Inst Oceanog, Dartmouth, NS, Canada
[8] Kyoto Univ, Seto Marine Biol Lab, Shirahama, Japan
[9] Museo Argentino Ciencias Nat Bernardino Rivadavia, Lab Ecosistemas Costeros, Buenos Aires, DF, Argentina
关键词
TAXONOMIC SUFFICIENCY; BETA DIVERSITY; RUN-OFF; CLIMATE; IMPACTS; BIODIVERSITY; RESOLUTION; COMMUNITY; FRAMEWORK; PATTERNS;
D O I
10.1371/journal.pone.0012946
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
[1]  
[Anonymous], 2010, R LANG ENV STAT COMP
[2]  
[Anonymous], 2002, Model selection and multimodel inference: a practical informationtheoretic approach
[3]   Using higher-taxon richness as a surrogate for species richness .1. Regional tests [J].
Balmford, A ;
Green, MJB ;
Murray, MG .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1996, 263 (1375) :1267-1274
[4]   Photosynthetic rates derived from satellite-based chlorophyll concentration [J].
Behrenfeld, MJ ;
Falkowski, PG .
LIMNOLOGY AND OCEANOGRAPHY, 1997, 42 (01) :1-20
[5]  
Bellier E, 2007, ECOGRAPHY, V30, P385, DOI [10.1111/j.2007.0906-7590.04911.x, 10.1111/j.0906-7590.2007.04911.x]
[6]   Taxonomic surrogacy in biodiversity assessments, and the meaning of Linnaean ranks [J].
Bertrand, Y. ;
Pteijel, F. ;
Rouse, G. W. .
SYSTEMATICS AND BIODIVERSITY, 2006, 4 (02) :149-159
[7]   Trophic structure and diversity in rocky intertidal upwelling ecosystems: A comparison of community patterns across California, Chile, South Africa and New Zealand [J].
Blanchette, C. A. ;
Wieters, E. A. ;
Broitman, B. R. ;
Kinlan, B. P. ;
Schiel, D. R. .
PROGRESS IN OCEANOGRAPHY, 2009, 83 (1-4) :107-116
[8]   All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices [J].
Borcard, D ;
Legendre, P .
ECOLOGICAL MODELLING, 2002, 153 (1-2) :51-68
[9]   Dissecting the spatial structure of ecological data at multiple scales [J].
Borcard, D ;
Legendre, P ;
Avois-Jacquet, C ;
Tuomisto, H .
ECOLOGY, 2004, 85 (07) :1826-1832
[10]   Spatial scales of benthic and pelagic producer biomass in a coastal upwelling ecosystem [J].
Broitman, Bernardo R. ;
Kinlan, Brian P. .
MARINE ECOLOGY PROGRESS SERIES, 2006, 327 :15-25