Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Quantifying sustainable intensification of agriculture: the contribution of metrics and modelling

Mouratiadou, I., Latka, C., van der Hilst, F., Müller, C., Berges, R., Bodirsky, B. L., Ewert, F., Faye, B., Heckelei, T., Hoffmann, M., Lehtonen, H., Lorite, I. J., Nendel, C., Palosuo, T., Rodríguez, A., Rötter, R. P., Ruiz-Ramos, M., Stella, T., Webber, H., Wicke, B. (2021): Quantifying sustainable intensification of agriculture: the contribution of metrics and modelling. - Ecological Indicators, 129, 107870.
https://doi.org/10.1016/j.ecolind.2021.107870

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
25692oa.pdf (Verlagsversion), 2MB
Name:
25692oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Mouratiadou, Ioanna1, Autor
Latka, Catharina1, Autor
van der Hilst, Floor1, Autor
Müller, Christoph2, Autor              
Berges, Regine1, Autor
Bodirsky, Benjamin Leon2, Autor              
Ewert, Frank1, Autor
Faye, Babacar1, Autor
Heckelei, Thomas1, Autor
Hoffmann, Munir1, Autor
Lehtonen, Heikki1, Autor
Lorite, Ignacio Jesus1, Autor
Nendel, Claas1, Autor
Palosuo, Taru1, Autor
Rodríguez, Alfredo1, Autor
Rötter, Reimund Paul1, Autor
Ruiz-Ramos, Margarita1, Autor
Stella, Tommaso1, Autor
Webber, Heidi1, Autor
Wicke, Birka1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Sustainable intensification (SI) of agriculture is a promising strategy for boosting the capacity of the agricultural sector to meet the growing demands for food and non-food products and services in a sustainable manner. Assessing and quantifying the options for SI remains a challenge due to its multiple dimensions and potential associated trade-offs. We contribute to overcoming this challenge by proposing an approach for the ex-ante evaluation of SI options and trade-offs to facilitate decision making in relation to SI. This approach is based on the utilization of a newly developed SI metrics framework (SIMeF) combined with agricultural systems modelling. We present SIMeF and its operationalization approach with modelling and evaluate the approach’s feasibility by assessing to what extent the SIMeF metrics can be quantified by representative agricultural systems models. SIMeF is based on the integration of academic and policy indicator frameworks, expert opinions, as well as the Sustainable Development Goals. Structured along seven SI domains and consisting of 37 themes, 142 sub-themes and 1128 metrics, it offers a holistic, generic, and policy-relevant dashboard for selecting the SI metrics to be quantified for the assessment of SI options in diverse contexts. The use of SIMeF with agricultural systems modelling allows the ex-ante assessment of SI options with respect to their productivity, resource use efficiency, environmental sustainability and, to a large extent, economic sustainability. However, we identify limitations to the use of modelling to represent several SI aspects related to social sustainability, certain ecological functions, the multi-functionality of agriculture, the management of losses and waste, and security and resilience. We suggest advancements in agricultural systems models and greater interdisciplinary and transdisciplinary integration to improve the ability to quantify SI metrics and to assess trade-offs across the various dimensions of SI.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2021-06-162021-06-192021-10
 Publikationsstatus: Final veröffentlicht
 Seiten: 16
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: MDB-ID: No data to archive
PIKDOMAIN: RD2 - Climate Resilience
Organisational keyword: RD2 - Climate Resilience
Working Group: Land Use and Resilience
Research topic keyword: Food & Agriculture
Research topic keyword: Sustainable Development
Research topic keyword: Land use
Regional keyword: Global
Model / method: LPJmL
Model / method: MAgPIE
OATYPE: Gold Open Access
DOI: 10.1016/j.ecolind.2021.107870
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Ecological Indicators
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 129 Artikelnummer: 107870 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140811
Publisher: Elsevier