Short-term response of macroalgal communities to ocean warming in the Southern Bay of Biscay

被引:4
|
作者
Arriaga, O. [1 ,2 ]
Wawrzynkowski, P. [3 ]
Ibanez, H. [1 ,2 ]
Muguerza, N. [1 ,2 ]
Diez, I. [1 ,2 ]
Perez-Ruzafa, I. [4 ]
Gorostiaga, J. M. [1 ,2 ]
Quintano, E. [1 ,2 ]
Becerro, M. A. [3 ]
机构
[1] Univ Basque Country UPV EHU, Fac Sci & Technol, Dept Plant Biol & Ecol, POB 644, Bilbao 48080, Spain
[2] Univ Basque Country UPV EHU, Res Ctr Expt Marine Biol & Biotechnol PIE UPV EHU, POB 644, Bilbao 48080, Spain
[3] Ctr Adv Studies Blanes CEAB CSIC, BITES Lab, Access Cala S Francesc 14, Blanes 17300, Girona, Spain
[4] Complutense Univ Madrid UCM, Dept Biodivers Ecol & Evolut, C-Jose Antonio Novais, 12, Madrid 28040, Spain
关键词
Climate change; Temperature; Macroalgae; Community temperature index (CTI); Canopy; Subtidal; Iberian Peninsula; Monitoring; SOUTHEASTERN BAY; CLIMATE-CHANGE; ENVIRONMENTAL-FACTORS; SUBTIDAL VEGETATION; ATLANTIC COAST; TEMPERATURE; BIODIVERSITY; SEAWEEDS; SEA; NW;
D O I
10.1016/j.marenvres.2023.106098
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change is causing significant shifts in biological communities worldwide, including the degradation of marine communities. Previous research has predicted that southern Bay of Biscay canopy-forming subtidal macroalgal communities will shift into turf-forming Mediterranean-like communities by the end of the century. These predictions were based on a community-environment relationship model that used macroalgal abundance data and IPCC environmental projections. We have tested the short-term accuracy of that model by resampling the same communities and locations four years later and found the short-term predictions to be consistent with the observed communities. Changes in sea surface temperature were positively correlated with changes in the Community Temperature Index, suggesting that macroalgal communities had responded quickly to global warming. The changes over four years were significant, but canopy-forming macroalgae were more resilient in local sites with favourable temperature conditions. Our study demonstrated that updating predictive models with new data has the potential to yield reliable predictions and inform effective conservation strategies.
引用
收藏
页数:17
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