Acta Geologica Sinica (English Edition), 2019, 93(supp.l): 76-79
Deep-time Paleogeographic Reconstruction Based on
Database: Taking the South China T. approximatus Biozone
(Early Ordovician) as an Example
ZHANG Linna1, ., FAN Junxuarr' and CHEN Qing'
(I
GSC
1 State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Paleontology and Center
for Excellence in Life and Paleoenvironment, Chinese Academy ofSciences, Nanjing 210008, China
2 School ofEarth Sciences and Engineering, Nanjing University, Nanjing 210023, China
3 CAS Key Laboratory ofEconomic Stratigraphy and Palaeogeography, Nanjing Institute of Geology and Palaeontology
and Center for Excellence in Life and Paleoenvironment, Chinese Academy ofSciences, Nanjing 210008, China
Citation: Zhang et al, 2019. Deep-time Paleogeographic Reconstruction Based on Database: Taking South China of the T. approximatus Biozone
(Early Ordovician) as an Example. Acta Geologica Sinica (English Edition), 93(supp. 1): 76-79
Paleogeography is a discipline that studies spatial distribution
and evolutionary characteristics of geographic objects in earth
history (Feng, 2003; Feng et al., 2012). It focuses on the
sediments, organisms and environmental proxies, most of which
are preserved in the rocks. However, a large amount of this
geological and biological information was no longer preserved
after the geological process of burial, preservation and
transformation. This loss caused great difficulties in producing
paleogeographic reconstructions of high temporal precision and
spatial resolution. With as much geological data as possible, and
by using quantitative methods, the influence of incompleteness
in geological records can be reduced. Here, we discuss the
concepts and methods of paleogeographic reconstruction in the
context of rapid developments in geochronology, geological big
data and geographic information systems (GIS). We illustrate
these procedures on data from the Early Ordovician
Tetragraptusapproximatus Biozone of South China, creating the
paleogeographic maps and analyzing their geological
significance.
1 Concepts and methods in deep-time paleogeography
High temporalprecision
Precise time frameworks provide the basis to understand the
details of regional and global paleogeographic evolution.
Through the rapid development of the various subdisciplines of
stratigraphy and geochronology (e.g., biostratigraphy and
biochronology, cyclostratigraphy, astrochronology, magnetic
stratigraphy, geomagnetic polarity studies, isotope stratigraphy,
geochronology, statistical and quantitative stratigraphy,
geochronology; Gradstein et al., 2012), the assessment of
geological time can be improved, with 'deep time' becoming one
of the most important concepts in geology (Sun and Wang, 2009;
Wu, 2011). At present, 72 GSSPs, nearly 69.9% of the total
GSSPs, have been designated (Fan et al., 2018). Thus, most
geological stages have been established. In addition, precise
refinements of the geologic timescale (to biozone level) was
published for regions, such as South China, North America,
Australia and Europe.
* Corresponding author. E-mail: Inzhang@nigpas.ac.cn
High spatial resolution
Higher spatial resolutions and larger-scale paleogeographic
maps can be used to pinpoint paleogeographic locations,
boundaries, units and even evolutionary patterns of facies more
accurately, which enhances the power of paleogeography.
However, with the rapid accumulation of geological data, issues
such as integration, management, sorting, verification and use of
such huge amounts of geological information becomes a
significant and inevitable problem. Digital databases represent an
important way to resolve this problem (e.g., PBDB and GBDB;
Fan et al., 2013, 2016). Through the assembly of digital
databases with appropriate data structures (Table 1), users can
store, organize, and use geological data more efficiently.
Meanwhile, if all data are digitized and stored based on uniform
standards, data entry, retrieval and update can be accomplished
in an accurate and convenient manner. Ideally, all geological
data need to be FAIR, i.e., Findable, Accessible, Interoperable,
and Reusable.
From qualitative to quantitative
The pathway from qualitative to quantitative is an important
indicator of the state of a discipline's development. In terms of
paleogeography, quantification brings at least two important
advantages. First, quantitative paleogeography can make use of
use numerical or digitized maps to express the distribution
pattern of paleogeographic units more accurately. Second, since
the data for paleogeographic research come mostly from rocks
and fossils, it is difficult to avoid the influence of incompleteness
of rock and fossil records. Quantitative paleogeography can help
eliminate this kind of influence through mathematical data
analysis and statistics, so as to reveal the actual state of
observations as well as assisting with inferences and
interpretations. For example, paleobiogeography usually
represents the geographic distribution of a species by enclosing
the set of localities where the fossils are found within a
boundary. Inevitably this represents an underestimate of the true
geographic range because of the incompleteness of fossil
records. However, by using the known fossil occurrences and
environmental data, a quantitative paleogeographic methods and
can be used to construct a mathematical species distribution
models (SDMs), that can then be applied to an entire study area
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