利用模拟方法评价地质历史参考条件对评价生态质量的效用

Matthew J. Pruden, Jansen A. Smith, J. Handley, Stephen R. Durham, G. Dietl
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摘要

将古生物学数据纳入保护从业者熟悉的方法和格式中,可以促进古生物学数据在保护实践中的更多使用。底栖生物指数(如多元azti海洋生物指数;M-AMBI)利用参考条件监测生态条件。然而,监测记录的参考条件在时间范围上是有限的,而且往往代表退化的条件,这可能导致对生态质量的不准确评估。古生物学数据,如软体动物死亡组合,有可能提供长期的、特定地点的参考条件,否则决策者无法获得这些参考条件。在这里,我们使用恒定和变化环境条件下的生活群落模拟来评估死亡组合参考条件在替代生活群落参考条件时复制M-AMBI值的能力。在大多数具有环境变化和稳定性的模拟运行中,来自所有死亡装配场景的参考条件成功地复制了正确的补救决策。M-AMBI值的变化是由于物种丰富度和香农熵值在死亡组合中被高估,这些参数的变化对不同情景的影响不同。时间平均在很大程度上是有益的,特别是当环境发生变化时,对生活社区的短期观察产生了错误的补救决定。当平均时间的持续时间已知时,死亡组合可以提供有价值的长期观点,有可能优于监测生活社区的暂时受限基线信息。
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Using Simulations to Evaluate the Utility of Geohistorical Reference Conditions for Assessing Ecological Quality
Incorporating paleontological data into the methods and formats familiar to conservation practitioners may facilitate greater use of paleontological data in conservation practice. Benthic indices (e.g., Multivariate-AZTI Marine Biotic Index; M-AMBI) utilize reference conditions for monitoring ecological conditions. However, reference conditions from monitoring records are limited in temporal scope and often represent degraded conditions, which can cause inaccurate assessments of ecological quality. Paleontological data, such as molluscan death assemblages, have potential to provide long-term, location-specific reference conditions, which are otherwise inaccessible to decision-makers. Here we use simulations of living communities under constant and changing environmental conditions to evaluate the capacity of death assemblage reference conditions to replicate M-AMBI values when used in place of reference conditions from the living communities. Reference conditions from all death assemblage scenarios successfully replicated correct remediation decisions in most simulation runs with environmental change and stability. Variations in M-AMBI values were due to overestimated species richness and Shannon entropy values in the death assemblages and effects of changes to these parameters varied across scenarios. Time averaging was largely beneficial, particularly when environmental change occurred, and short-term observations of the living communities produced incorrect remediation decisions. When the duration of time averaging is known, death assemblages can provide valuable longer-term perspectives with the potential to outperform temporally constrained baseline information from monitoring the living community.
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