Effects of Asynchronous Stressors on the Eastern Oyster (Crassostrea virginica)

被引:0
作者
Anika Agrawal
Laura J. Jurgens
机构
[1] Texas A&M University at Galveston,Department of Marine Biology
[2] University of Connecticut,Current Affiliation: Natural Resources and the Environment
关键词
Extreme events; Oysters; Disturbance ecology; Stressors; Timing;
D O I
暂无
中图分类号
学科分类号
摘要
Population responses to environmental perturbations can be influenced by stressor timing or asynchrony. Since physiological responses often depend on prior conditioning, responses to extreme events may depend on prior exposure to environmental conditions, which could enhance or erode resilience. Yet there are relatively few studies investigating population responses to extreme events in the context of asynchronous stresses. Most multi-stressor experiments impose them simultaneously, which may sometimes poorly reflect seasonal dynamics in nature. For example, hurricanes typically occur over a broad season and may impact populations pre-conditioned with either mild early-season or elevated late-season water temperatures. In the Atlantic, hurricane season begins in June, following mild spring water temperatures, but continues through summer and autumn months, when water temperatures in some estuaries can reach 32 °C. We used the ecologically and commercially important Eastern oyster (Crassostrea virginica) as a model system, investigating how newly settled oysters responded to hurricane-level low-salinity stress (1 ppt for 10 days) after a month of elevated late summer temperatures (32 °C) versus milder early-season conditions (24 °C) typical of Galveston Bay, TX, USA. Oyster mortality under synchronous thermal and salinity stressors was higher than under asynchronous stressor treatments (46% versus 4%). Additionally, oysters without a prior thermal stress had higher mortality under salinity stress than those with prior elevated temperatures (16% versus 4%). Unlike mortality, growth and metabolism were dependent on individual stressors rather than their timing. Results indicate that incorporating temporal dynamics, rather than simply crossing multiple stressors simultaneously, can have important consequences for our understanding of how disturbances influence populations.
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页码:697 / 706
页数:9
相关论文
共 272 条
[1]  
Bates D(2015)Fitting linear mixed-effects models using lme4 Journal of Statistical Software 67 1-48
[2]  
Maechler M(2011)Oyster reefs at risk and recommendations for conservation, restoration, and management BioScience 61 107-116
[3]  
Bolker B(2018)Assessing risks to marine ecosystems with indicators, ecosystem models and experts Biological Conservation 227 19-28
[4]  
Walker S(2009)Positive relationship between freshwater inflow and oyster abundance in Galveston Bay, Texas Estuaries and Coasts 32 206-212
[5]  
Beck MW(2018)Combined effects of temperature and salinity on the physiology of two geographically-distant eastern oyster populations Journal of Experimental Marine Biology and Ecology 506 82-90
[6]  
Brumbaugh RD(2018)Quantifying salinity and season effects on eastern oyster clearance and oxygen consumption rates Marine Biology 165 90-1315
[7]  
Airoldi L(2008)Interactive and cumulative effects of multiple human stressors in marine systems Ecology Letters 11 1304-1286
[8]  
Carranza A(2008)Quantifying the evidence for ecological synergies Ecology Letters 11 1278-37
[9]  
Coen LD(2012)Climate change impacts on marine ecosystems Annual Reviews of Marine Science 4 11-323
[10]  
Crawford C(1998)Thermal shock of salmon in vivo induces the heat shock protein hsp 70 and confers protection against osmotic shock Aquaculture 168 311-77