Changes in the spatial distribution of spawning activity by north-east Atlantic mackerel in warming seas: 1977-2010

被引:30
作者
Hughes, Kathryn M. [1 ]
Dransfeld, Leonie [2 ]
Johnson, Mark P. [1 ]
机构
[1] Natl Univ Ireland Galway, Ryan Inst, Galway, Ireland
[2] Inst Marine, Galway, Ireland
关键词
EGG-PRODUCTION METHOD; CLIMATE-CHANGE; SURFACE TEMPERATURE; SCOMBER-SCOMBRUS; RANGE SHIFTS; SHELF EDGE; MIGRATION; PHENOLOGY; VARIABILITY; SCOTLAND;
D O I
10.1007/s00227-014-2528-1
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Migratory species with a broad geographic range, such as north-east Atlantic mackerel, may be amongst the fauna most able to respond to warming seas, typically with a poleward shift in range. Habitat heterogeneity could, however, produce more complex patterns than a simple polewards translation in distribution. We tested for changes in the central location and spatial spread of mackerel spawning over a 33-year period. Spatial statistics [centre of gravity (CoG) of egg production, spatial variance, and degree of anisotropy] were used to summarise interannual changes in the spawning locations of the western spawning stock of north-east Atlantic mackerel (NEA-WSC) using data from the ICES triennial egg survey. A northwards shift in CoG of egg production estimates was observed, related to both an expansion in the distribution in survey effort and warming waters of the north-east Atlantic. Sea surface temperature (SST) had a significant positive association with the observed northward movement of NEA-WSC mackerel, equivalent to a displacement of 37.7 km A degrees C-1 (based on spring mean SST for the region). The spatial distribution of spawning around the CoG also changed significantly with SST, with a less elongated spatial spread in warm years. An increase in the proportion of spawning over the Porcupine Bank demonstrated how habitat interacts with positional shifts to affect how north-east Atlantic mackerel are distributed around the centre of their spawning range.
引用
收藏
页码:2563 / 2576
页数:14
相关论文
共 58 条
[1]  
Anderson D.R., 2008, MODEL BASED INFERENC
[2]  
[Anonymous], 2011, R: A Language and Environment for Statistical Computing
[3]  
[Anonymous], 2002, Model selection and multimodel inference: a practical informationtheoretic approach
[4]  
[Anonymous], IRISH MACKEREL FISHE
[5]   Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models [J].
Augustin, NH ;
Borchers, DL ;
Clarke, ED ;
Buckland, ST ;
Walsh, M .
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 1998, 55 (12) :2608-2621
[6]   The influence of spatio-temporal egg production variability on the modelled survival of the early life history stages of mackerel (Scomber scombrus) in the eastern North Atlantic [J].
Bartsch, J .
ICES JOURNAL OF MARINE SCIENCE, 2005, 62 (06) :1049-1060
[7]   Investigating spatio-temporal change in spawning activity by Atlantic mackerel between 1977 and 1998 using generalized additive models [J].
Beare, DJ ;
Reid, DG .
ICES JOURNAL OF MARINE SCIENCE, 2002, 59 (04) :711-724
[8]   Reorganization of North Atlantic marine copepod biodiversity and climate [J].
Beaugrand, G ;
Reid, PC ;
Ibañez, F ;
Lindley, JA ;
Edwards, M .
SCIENCE, 2002, 296 (5573) :1692-1694
[9]   Plant phenology and distribution in relation to recent climate change [J].
Bertin, Robert I. .
JOURNAL OF THE TORREY BOTANICAL SOCIETY, 2008, 135 (01) :126-146
[10]   Transitive geostatistics to characterise spatial aggregations with diffuse limits: an application on mackerel ichtyoplankton [J].
Bez, N ;
Rivoirard, J .
FISHERIES RESEARCH, 2001, 50 (1-2) :41-58