Abstract Incorporating palaeontological data into the methods and formats already familiar to conservation practitioners may facilitate greater use of palaeontological data in conservation practice. Benthic indices (e.g. Multivariate-AZTI Marine Biotic Index; M-AMBI) already incorporate reference conditions and are a good candidate for integration. In simulations of living communities under constant and changing environmental conditions, we evaluate the capacity of death assemblage reference conditions to replicate M-AMBI values when used in place of reference conditions from the final ten generations of the simulation or all five hundred simulated generations. Reference conditions from all death assemblage scenarios successfully replicated correct remediation decisions in the majority of 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 but effects of changes to these parameters varied across scenarios, emphasizing the importance of evaluating multiple metrics. Time averaging was largely beneficial, particularly when environmental change occurred and short-term ecological observations (ten generations) 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.

ABSTRACT There are two fossil records: the physical fossil record , which consists of specimens, and the abstracted fossil record , which is made up of data derived from those specimens. Mseum collections are the conduit between these two fossil records. Over the past several decades, the abstracted fossil record has provided many important insights about the major features of life’s history, but it has relied mostly on limited types of data (primarily taxonomic occurrence data) derived from ultimately finite literature sources. In contrast, specimen collections and modern tools for digitizing information about them present an opportunity to transform paleobiology into a “big data” science. Digitally capturing non-traditional (e.g., paleoecological, taphonomic, geochemical, and morphological) data from millions of specimens in museum collections and then integrating them with other unique big data resources has the potential to lead to the most important paleontological discoveries of the twenty-first century. What we know about the past record relied heavily on museum collections—the cumulation of centuries of investigation of the fossil record. The sample of past biodiversity will accumulate only with continued exploration of the fossil record … and restudy of existing collections…. —J. Sepkoski (1992, p. 80)