Grear J S, O'Leary C A, Nye J A, Tettelbach S T, Gobler C J
Atlantic Ecology Division, Office of Research and Development, US Environmental Protection Agency, 27 Tarzwell Dr, Narragansett, RI 02882, USA.
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794.
Mar Ecol Prog Ser. 2020 Jan 9;633:89-104. doi: 10.3354/meps13140.
Experimental exposure of early life stage bivalves has documented negative effects of elevated CO on survival and growth, but the population consequences of these effects are unknown. Following standard practices from population viability analysis and wildlife risk assessment, we substituted laboratory-derived stress-response relationships into baseline population models of and . The models were constructed using inverse demographic analyses with time series of size-structured field data in NY, USA, whereas the stress-response relationships were developed using data from a series of previously published laboratory studies. We used stochastic projection methods and diffusion approximations of extinction probability to estimate cumulative risk of 50% population decline during ten-year population projections at 1, 1.5 and 2 times ambient CO levels. Although the population exhibited higher growth in the field data (12% per year) than the declining population (-8% per year), cumulative risk was high for in the first ten years due to high variance in the stochastic growth rate estimate (log λ = -0.02, σ = 0.24). This ten-year cumulative risk increased from 69% to 94% and >99% at 1.5 and 2 times ambient scenarios. For (log λ = -0.09, σ = 0.01), ten-year risk was 81%, 96% and >99% at 1, 1.5 and 2 times ambient CO, respectively. These estimates of risk could be improved with detailed consideration of harvest effects, disease, restocking, compensatory responses, other ecological complexities, and the nature of interactions between these and other effects that are beyond the scope of available data. However, results clearly indicate that early life stage responses to plausible levels of CO enrichment have the potential to cause significant increases in risk to these marine bivalve populations.
对双壳贝类幼体阶段进行实验暴露已证明,二氧化碳浓度升高会对其生存和生长产生负面影响,但这些影响对种群的后果尚不清楚。按照种群生存力分析和野生动物风险评估的标准做法,我们将实验室得出的应激反应关系代入了[具体物种1]和[具体物种2]的基线种群模型。这些模型是通过对美国纽约大小结构的野外数据时间序列进行逆种群统计学分析构建的,而应激反应关系则是根据一系列先前发表的实验室研究数据得出的。我们使用随机投影方法和灭绝概率的扩散近似值,来估计在1倍、1.5倍和2倍环境二氧化碳水平下,十年种群预测期间种群数量下降50%的累积风险。尽管在野外数据中,[具体物种1]种群表现出较高的增长率(每年12%),而[具体物种2]种群呈下降趋势(每年-8%),但由于随机增长率估计值的高方差(对数λ = -0.02,σ = 0.24),[具体物种1]在前十年的累积风险很高。在1.5倍和2倍环境情景下,这种十年累积风险从69%增加到94%和>99%。对于[具体物种2](对数λ = -0.09,σ = 0.01),在1倍、1.5倍和2倍环境二氧化碳水平下,十年风险分别为81%、96%和>99%。通过详细考虑捕捞影响、疾病、放流、补偿反应、其他生态复杂性以及这些与其他影响之间相互作用的性质(这些超出了现有数据的范围),这些风险估计可能会得到改善。然而,结果清楚地表明,双壳贝类幼体阶段对合理水平二氧化碳富集的反应有可能显著增加这些海洋双壳贝类种群的风险。