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dc.contributor.authorHambrecht, George
dc.contributor.authorAnderung, Cecilia
dc.contributor.authorBrewington, Seth
dc.contributor.authorDugmore, Andrew
dc.contributor.authorEdvardsson, Ragnar
dc.contributor.authorFeeley, Francis
dc.contributor.authorGibbons, Kevin
dc.contributor.authorHarrison, Ramona
dc.contributor.authorHicks, Megan
dc.contributor.authorJackson, Rowan
dc.contributor.authorÓlafsdóttir, Guðbjörg Ásta
dc.contributor.authorRockman, Marcy
dc.contributor.authorSmiarowski, Konrad
dc.contributor.authorStreeter, Richard
dc.contributor.authorSzabo, Vicki
dc.contributor.authorMcGovern, Thomas
dc.identifier.citationHambrecht , G , Anderung , C , Brewington , S , Dugmore , A , Edvardsson , R , Feeley , F , Gibbons , K , Harrison , R , Hicks , M , Jackson , R , Ólafsdóttir , G Á , Rockman , M , Smiarowski , K , Streeter , R , Szabo , V & McGovern , T 2018 , ' Archaeological sites as Distributed Long-term Observing Networks of the Past (DONOP) ' , Quaternary International , vol. In press .
dc.identifier.otherPURE: 252794031
dc.identifier.otherPURE UUID: 342a2c25-6239-40be-a9c7-9479a4cdd54c
dc.identifier.otherRIS: urn:5F2018142D9C4FA9F1D0142B190630F3
dc.identifier.otherScopus: 85045568719
dc.identifier.otherORCID: /0000-0003-2261-4540/work/64697923
dc.identifier.otherWOS: 000564852000002
dc.descriptionThe authors would also like to acknowledge the support of the National Science Foundation, specifically the Arctic Social Sciences Program, and RANNIS (The Icelandic Center for Research).en
dc.description.abstractArchaeological 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. And biological perspectives can 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.
dc.relation.ispartofQuaternary Internationalen
dc.rights© 2018 Elsevier Ltd and INQUA. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectHistorical ecologyen
dc.subjectNorth Atlanticen
dc.subjectCC Archaeologyen
dc.subjectGF Human ecology. Anthropogeographyen
dc.subjectSDG 13 - Climate Actionen
dc.titleArchaeological sites as Distributed Long-term Observing Networks of the Past (DONOP)en
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.description.statusPeer revieweden

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