Archaeological sites as Distributed Long-term Observing Networks of the Past (DONOP)

George Hambrecht*, Cecilia Anderung, Seth Brewington, Andrew Dugmore, Ragnar Edvardsson, Francis Feeley, Kevin Gibbons, Ramona Harrison, Megan Hicks, Rowan Jackson, Guðbjörg Ásta Ólafsdóttir, Marcy Rockman, Konrad Smiarowski, Richard Streeter, Vicki Szabo, Thomas McGovern

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Archaeological records provide a unique source of direct data on long-term human-environment interactions and samples of ecosystems affected by differing degrees of human impact. Distributed long-term datasets from archaeological sites provide a significant contribution to establish local, regional, and continental-scale environmental baselines and can be used to understand the implications of human decision-making and its impacts on the environment and the resources it provides for human use. Deeper temporal environmental baselines are essential for resource and environmental managers to restore biodiversity and build resilience in depleted ecosystems. Human actions are likely to have impacts that reorganize ecosystem structures by reducing diversity through processes such as niche construction. This makes data from archaeological sites key assets for the management of contemporary and future climate change scenarios because they combine information about human behavior, environmental baselines, and biological systems. Sites of this kind collectively form Distributed Long-term Observing Networks of the Past (DONOP), allowing human behavior and environmental impacts to be assessed over space and time. Behavioral perspectives are gained from direct evidence of human actions in response to environmental opportunities and change. Baseline perspectives are gained from data on species, landforms, and ecology over timescales that long predate our typically recent datasets that only record systems already disturbed by people. Biological perspectives can also provide essential data for modern managers wanting to understand and utilize past diversity (i.e., trophic and/or genetic) as a way of revealing, and potentially correcting, weaknesses in our contemporary wild and domestic animal populations.

Original languageEnglish
Pages (from-to)218-226
Number of pages9
JournalQuaternary International
Volume549
DOIs
Publication statusPublished - 30 May 2020

Bibliographical note

Funding Information:
The authors would like to thank all the myriad collaborators who are involved with the research discussed, especially all the members of FSI (Fornleifastofnun Íslands, The Institute of Archaeology, Iceland). We would also like to express our gratitude to the local communities who have hosted and supported much of the research presented in this article. The authors would also like to acknowledge the support of the National Science Foundation, specifically the Arctic Social Sciences Program (Grant # 1449616), and RANNIS (The Icelandic Center for Research).

Funding Information:
The authors would like to thank all the myriad collaborators who are involved with the research discussed, especially all the members of FSI (Fornleifastofnun ?slands, The Institute of Archaeology, Iceland). We would also like to express our gratitude to the local communities who have hosted and supported much of the research presented in this article. The authors would also like to acknowledge the support of the National Science Foundation, specifically the Arctic Social Sciences Program (Grant # 1449616), and RANNIS (The Icelandic Center for Research).

Funding Information:
The authors would like to thank all the myriad collaborators who are involved with the research discussed, especially all the members of FSI (Fornleifastofnun Íslands, The Institute of Archaeology, Iceland). We would also like to express our gratitude to the local communities who have hosted and supported much of the research presented in this article. The authors would also like to acknowledge the support of the National Science Foundation , specifically the Arctic Social Sciences Program (Grant # 1449616 ), and RANNIS (The Icelandic Center for Research).

Publisher Copyright:
© 2018 Elsevier Ltd and INQUA

Other keywords

  • aDNA
  • Archaeology
  • DONOP
  • Historical ecology
  • North Atlantic
  • Zooarchaeology

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