DOI: 10.1016/j.quascirev.2014.12.015
Scopus记录号: 2-s2.0-84920998061
论文题名: Paleodistribution modeling in archaeology and paleoanthropology
作者: Franklin J. ; Potts A.J. ; Fisher E.C. ; Cowling R.M. ; Marean C.W.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2015
卷: 110 起始页码: 1
结束页码: 14
语种: 英语
英文关键词: Paleoclimate
; Paleodistributions
; Paleoenvironmental reconstruction
; Resource paleoscape
; Species distribution modeling
Scopus关键词: Animals
; Ecology
; Ecosystems
; History
; Plants (botany)
; Paleoclimates
; Paleodistributions
; Paleoenvironmental reconstruction
; Resource paleoscape
; Species distribution modeling
; Population distribution
; anthropology
; hindcasting
; occupation
; paleobiology
; paleoclimate
; paleoenvironment
; population distribution
; population modeling
; prehistoric
; Animalia
英文摘要: Species distribution modeling (SDM) is a methodology that has been widely used in the past two decades for developing quantitative, empirical, predictive models of species-environment relationships. SDM methods could be more broadly applied than they currently are to address research questions in archaeology and paleoanthropology. Specifically, SDM can be used to hindcast paleodistributions of species and ecological communities (paleo-SDM) for time periods and locations of prehistoric human occupation. Paleo-SDM may be a powerful tool for understanding human prehistory if used to hindcast the distributions of plants, animals and ecological communities that were key resources for prehistoric humans and to use this information to reconstruct the resource landscapes (paleoscapes) of prehistoric people. Components of the resource paleoscape include species (game animals, food plants), habitats, and geologic features and landforms associated with stone materials for tools, pigments, and so forth. We first review recent advances in SDM as it has been used to hindcast paleodistributions of plants and animals in the field of paleobiology. We then compare the paleo-SDM approach to paleoenvironmental reconstructions modeled from zooarchaeological and archaeobotanical records, widely used in archaeology and paleoanthropology. Next, we describe the less well developed but promising approach of using paleo-SDM methods to reconstruct resource paleoscapes. We argue that paleo-SDM offers an explicitly deductive strategy that generates spatial predictions grounded in strong theoretical understandings of the relation between species, habitat distributions and environment. Because of their limited sampling of space and time, archaeobiological records may be better suited for paleo-SDM validation than directly for paleoenvironmental reconstruction. We conclude by discussing the data requirements, limitations and potential for using predictive modeling to reconstruct resource paleoscapes. There is a need for improved paleoclimate models, improved paleoclimate proxy and species paleodistribution data for model validation, attention to scale issues, and rigorous modeling methods including mechanistic models. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60020
Appears in Collections: 过去全球变化的重建
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作者单位: School of Geographical Sciences and Urban Planning, Arizona State University, P.O. Box 875302, Tempe, AZ, United States; Department of Botany, Nelson Mandela Metropolitan University, Port Elizabeth, Eastern Cape, South Africa; School of Human Evolution and Social Change, Institute of Human Origins, Arizona State University, Tempe, AZ, United States; Faculty of Science, Nelson Mandela Metropolitan University, Port Elizabeth, Eastern Cape, South Africa
Recommended Citation:
Franklin J.,Potts A.J.,Fisher E.C.,et al. Paleodistribution modeling in archaeology and paleoanthropology[J]. Quaternary Science Reviews,2015-01-01,110