TY - JOUR
T1 - Analytical methods in palaeobiogeography, and the role of early vertebrate studies
AU - Young, Gavin C.
PY - 2010/3
Y1 - 2010/3
N2 - The complex data set resulting from early vertebrate diversification during the middle Palaeozoic has played a key role in developing analytical methods in palaeobiogeography. Rather than using fossils to test hypotheses based on Recent taxa, or geological/geophysical interpretations of palaeogeography, it is argued that the primary criterion for applying cladistic methods is whether data sets have hierarchical structure. Any evidence (biological or non-biological) concerned with connections or barriers between areas is hierarchical, and can be analysed cladistically, but data supporting nodes of cladograms diverging through time have different properties to those converging through time, because more general attributes historically precede the less general in the former, and less general precede more general in the latter. Standard parsimony algorithms can be used for non-biological data in diverging area cladograms, but for converging area cladograms different algorithms are needed, even though the principle of parsimony analysis still holds; i.e., the preferred hypothesis is that which minimises independent explanations of empirical geological, geophysical or biological data. The historical development of these ideas using early vertebrate examples is reviewed.
AB - The complex data set resulting from early vertebrate diversification during the middle Palaeozoic has played a key role in developing analytical methods in palaeobiogeography. Rather than using fossils to test hypotheses based on Recent taxa, or geological/geophysical interpretations of palaeogeography, it is argued that the primary criterion for applying cladistic methods is whether data sets have hierarchical structure. Any evidence (biological or non-biological) concerned with connections or barriers between areas is hierarchical, and can be analysed cladistically, but data supporting nodes of cladograms diverging through time have different properties to those converging through time, because more general attributes historically precede the less general in the former, and less general precede more general in the latter. Standard parsimony algorithms can be used for non-biological data in diverging area cladograms, but for converging area cladograms different algorithms are needed, even though the principle of parsimony analysis still holds; i.e., the preferred hypothesis is that which minimises independent explanations of empirical geological, geophysical or biological data. The historical development of these ideas using early vertebrate examples is reviewed.
KW - Cladistics
KW - Converging area cladograms
KW - Hierarchical data representation
KW - Nelson's rule
KW - Progression Rule
KW - Vicariance
UR - http://www.scopus.com/inward/record.url?scp=77953251882&partnerID=8YFLogxK
U2 - 10.1016/j.palwor.2009.10.001
DO - 10.1016/j.palwor.2009.10.001
M3 - Article
SN - 1871-174X
VL - 19
SP - 160
EP - 173
JO - Palaeoworld
JF - Palaeoworld
IS - 1-2
ER -