Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Upscaling in socio-environmental systems modelling: Current challenges, promising strategies and insights from ecology

Dressler, G., Groeneveld, J., Hetzer, J., Janischewski, A., Nolzen, H., Rödig, E., Schwarz, N., Taubert, F., Thober, J., Will, M., Williams, T., Wirth, S. B., Müller, B. (2022): Upscaling in socio-environmental systems modelling: Current challenges, promising strategies and insights from ecology. - Socio-Environmental Systems Modelling, 4, 18112.
https://doi.org/10.18174/sesmo.18112

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Dressler+18112+FinalAcceptedProof4.pdf (beliebiger Volltext), 5MB
 
Datei-Permalink:
-
Name:
Dressler+18112+FinalAcceptedProof4.pdf
Beschreibung:
accepted version
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-
:
27304oa.pdf (Verlagsversion), 5MB
Name:
27304oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Dressler, Gunnar1, Autor
Groeneveld, Jürgen1, Autor
Hetzer, Jessica1, Autor
Janischewski, Anja1, Autor
Nolzen, Henning1, Autor
Rödig, Edna1, Autor
Schwarz, Nina1, Autor
Taubert, Franziska1, Autor
Thober, Jule1, Autor
Will, Meike1, Autor
Williams, Tim1, Autor
Wirth, Stephen Björn2, Autor              
Müller, Birgit1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Sustainability challenges in socio-environmental systems (SES) are inherently multiscale, with global-level changes emerging from socio-environmental processes that operate across different spatial, temporal, and organisational scales. Models of SES therefore need to incorporate multiple scales, which requires sound methodologies for transferring information between scales. Due to the increasing global connectivity of SES, upscaling – increasing the extent or decreasing the resolution of a modelling study – is becoming progressively more important. However, upscaling in SES models has received less attention than in other fields (e.g., ecology or hydrology) and therefore remains a pressing challenge. To advance the understanding of upscaling in SES, we take three steps. First, we review existing upscaling approaches in SES as well as other disciplines. Second, we identify four main challenges that are particularly relevant to upscaling in SES: 1) heterogeneity, 2) interactions, 3) learning and adaptation, and 4) emergent phenomena. Third, we present an approach that facilitates the transfer of existing upscaling methods to SES, using two good practice examples from ecology. To describe and compare these methods, we propose a scheme of five general upscaling strategies. This scheme builds upon and unifies existing schemes and provides a standardised way to classify and represent existing as well as new upscaling methods. We demonstrate how the scheme can help to transparently present upscaling methods and uncover scaling assumptions, as well as to identify limits for the transfer of upscaling methods. We finish by pointing out research avenues on upscaling in SES to address the identified upscaling challenges.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2022-08-012022-08-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 25
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.18174/sesmo.18112
MDB-ID: pending
PIKDOMAIN: RD2 - Climate Resilience
Organisational keyword: RD2 - Climate Resilience
Research topic keyword: Ecosystems
Model / method: Qualitative Methods
Working Group: Land Use and Resilience
OATYPE: Gold Open Access
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Socio-Environmental Systems Modelling
Genre der Quelle: Zeitschrift, other, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 4 Artikelnummer: 18112 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2663-3027
Publisher: International Environmental Modelling and Software Society