Invited review articleScientific drilling projects in ancient lakes: Integrating geological and biological histories
Graphical abstract
Introduction
The vast majority of the world's lakes has existed or will exist for up to a few ten thousand years (e.g., Brooks, 1950). Primarily due to sediment infill, they become progressively shallower and subsequently vanish. Ancient or long-lived lakes, on the contrary, exist for over 100,000 years (100 ky), sometimes millions of years (My) (Brooks, 1950, Gorthner, 1994, Martens, 1997). They typically occur in settings where sedimentation rates are low or balanced by subsidence (Cohen, 2012). Accordingly, most of today's ancient lakes are oligotrophic and situated in active tectonic graben settings, karst systems or impact craters with low sediment supply from the catchment.
Because of the long-term availability of accommodation space (Jervey, 1988), sediment sequences in ancient lakes can reach several hundreds to thousands of meters in thickness (e.g., Scholz et al., 1993, Scholz et al., 2011, Lindhorst et al., 2015). Lake deposits contain material that mostly derives from the lake proper and the catchment area and, hence, provide an unparalleled perspective of the lake's history through time (O'Sullivan, 2004). Combining the paleolimnological records from different lakes permits the reconstruction of continental and global environmental, and climatological histories. It is this potential, captured in the often continuous lacustrine sedimentary archives, that has inspired several deep-drilling projects in ancient lakes (reviewed in Cohen, 2012; Fig. 1).
However, over the past decades, drilling operations became increasingly interdisciplinary, as data bearing on physical, chemical, biochemical, and biological research questions can also be obtained from sediment cores. Because of a wealth of new information, scientists from different fields, such as sedimentology, climatology, geochemistry, paleolimnology, paleontology, biochemistry, microbiology, evolutionary biology, physics, and modeling, currently aim to use ancient lakes as paradigms to interactively look into natural phenomena from various angles, emphasizing the need for truly interdisciplinary collaborations (sensu O’Sullivan, 2004, Birks and Birks, 2006).
Multidisciplinary and interdisciplinary studies enable a more holistic approach to scientific problems, provide excellent opportunities for hypothesis-driven research, and are likely to have greater success in generating a widespread interest in the broader scientific community. However, these projects pose several challenges for the diverse science teams. The interests of the various groups involved need to be aligned; participants may lack the required knowledge of other disciplines; traditions and common practices may differ widely between disciplines. Finally, larger teams increase the challenge to communicate and coordinate efforts effectively. The various goals of individual teams call for compromises on several levels, such as drill site selection, subsampling strategies, and choice of analyses (see Section 2.1.1). Life scientists are typically not familiar with drilling operations and often lack basic geological knowledge whereas earth scientists may not be acquainted with biochemical or biological procedures. More practically, the difficulty arises that life scientists do not know exactly how to retrieve the archives they hope to study, and that earth scientists cannot evaluate applicability and performance of biological methods. Similar problems persist on smaller scales, and given the rapid advancement of many of the individual fields, specialists may even struggle with methodological innovations in their field over the often year-long duration of deep-drilling projects, involving the planning, the actual drilling campaign, and the interpretation of the final datasets. These issues are also relevant for core storage, which may affect geological and biological properties differently. Sedimentologists are typically acquainted with long-term changes in sediments after core retrieval, but others may draw erroneous conclusions when linking biological and geological data without accounting for potential contamination, drilling artifacts, decay processes, and other complications (see Section 2.1.2). In general, greater logistic, communicative, and administrative efforts are required with increasing complexity of interdisciplinary projects, and drilling methods may have to be optimized to guarantee the required data quality.
Perhaps the most challenging task, however, is to integrate the diverse datasets various teams collect from drilling cores. These datasets typically have differences in resolution, data quality, and dating uncertainty, but combining them is required to answer interdisciplinary questions. While the physical linkage of information directly obtained from sediment cores is, in most cases, relatively straightforward due to the stratigraphical constraints on the data, the challenge grows when primary data, i.e., data generated from sediment cores or in boreholes, are to be linked with external (secondary) data, i.e., data obtained independently of the drilling operation. Examples of secondary data sources include stable isotope information from fossils found in outcrops (see Section 2.1.6) or genetic information from extant species (see Section 3.3).
Here we review the types of geological and biological data that can be obtained from ancient lake drilling projects (Section 2) and the methods that can be used to analyze these data against the backdrop of the abovementioned practical and analytical challenges (Section 3). Acknowledging the increasing number of approaches and analyses that can be applied to drilling data, we narrow our focus on data and methods that have a high potential towards integrating geological and biological data and for hypothesis-testing related to interdisciplinary questions. We also provide a retrospect on how the actual drilling operation and conditions of sediment-core storage can affect data and subsequent multi- and interdisciplinary analyses. Although this review focuses on extant ancient lakes, some of the information given is also applicable to lakes from the past and even young lakes.
Our aim is to provide scientists from various disciplines with a background to strengthen interdisciplinary approaches to ancient lake drilling projects. We thus explain data acquisition and analyses in broad terms and provide information as to the underlying fundamental principles that may be equally useful for earth and life scientists. Given this scope, we refrain from detailed discussions that are constrained to a specific field, nor do we provide a historic overview of drilling operations for which other reviews exist (Cohen, 2012).
As such, this review intends to encourage scientists from diverse disciplines to join scientific deep-drilling projects, and to utilize these unique records of global change during the earth's history for understanding current and future changes on a planetary scale.
Section snippets
Site selection and drilling strategies
Careful consideration of the drill site(s) and the drilling strategy are a prerequisite to optimize the chances that the goals of a deep-drilling project can be reached. Scientific objectives are the foremost criteria for the selection of drill sites and strategies, but financial and time constraints also have an distinct impact. The extensive infrastructure needed and the shipping of highly specialized gear are important cost factors of deep drilling (Fig. 2).
Given a certain budget, the costs
Integrating geological and biological data
In Section 2, we have shown that many different types of data, both geological and biological, can be obtained from drilling campaigns. Despite this rich variety of data types, lake drilling long remained the domain of earth scientists. As a result, many geological and paleolimnological analyses are well established and have been reviewed abundantly before (e.g., Cohen, 2003, O’Sullivan, 2004). In comparison, the use of organismal approaches to sediment-core data for questions related to
Conclusions
- 1)
Over the past years, scientific drilling projects in ancient lakes became increasingly interdisciplinary and have intensified the use of secondary data, i.e., data obtained independently of the drilling operation. Comprehensive interdisciplinary projects enable a more holistic view on scientific problems and provide excellent opportunities for hypothesis-driven research.
- 2)
One of the most challenging tasks for answering novel research questions in deep-drilling projects is to link diverse datasets
Glossary
- Accommodation space
Available space for accumulation of sediments.
- Adaptive radiation
Rapid diversification of species accompanied by adaptation into various niches. The term is used both to describe an evolutionary process as well as the result of this process.
- Age-depth model
Synthetic model that explains the relationship between sediment depth and sediment age in depositional environments.
- Allopatric speciation (= geographical speciation)
Speciation due to the evolution of (geographical)
Acknowledgements
This work was supported by German Research Foundation (DFG) grants WA 2109/11, WI 1902/8, WI 1902/13, AL 1076/6, and AL 1076/9 to B. Wagner, T. Wilke, and C. Albrecht, respectively, by the European Commission, Marie Skłodowska-Curie Action Innovative Training Network ‘Pontocaspian Rise and Demise (PRIDE)’ to F. Wesselingh and T. Wilke (grant number 642973), by a fellowship of the Alexander von Humboldt Foundation to B. Van Bocxlaer (grant number 3.3-BEL/1154574 STP), by FWO Vlaanderen grant
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2021, Quaternary Science ReviewsCitation Excerpt :Part of the problem is the limited number of continuously preserved freshwater sedimentary archives that span a significant portion of the Quaternary. Records extending beyond the last glacial mainly comprise those of ancient lakes (Mackay et al., 2010; Wilke et al., 2016), which usually contain sedimentary successions of over a million years (Martens, 1997). These lakes may also contain exceptional taxonomic and phenotypic biotic diversity and are rich in endemic species (Martens, 1997; Salzburger et al., 2014) offering the possibility to evaluate climate- and other environmentally-driven responses of unique species and communities.