Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Martin Henseler
  • Alexander Wirsig
  • Sylvia Herrmann
  • Tatjana Krimly
  • Stephan Dabbert

Organisationseinheiten

Externe Organisationen

  • Gemeinsame Forschungsstelle (GFS)
  • terra fusca Ingenieure - Billen, Lange, Lehmann
  • Universität Hohenheim
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)31-42
Seitenumfang12
FachzeitschriftAgricultural systems
Jahrgang100
Ausgabenummer1-3
Frühes Online-Datum20 Jan. 2009
PublikationsstatusVeröffentlicht - Apr. 2009

Abstract

Assessing the impact of climate change on agriculture is a new challenge for quantitative model-based policy analysis. The impact of climate change will vary strongly across regions depending on pre-existing climatic, agronomic, and political conditions. Most of the present modeling approaches, which aim to analyze the impact of global change on agriculture, deliver aggregated results both with regard to content and spatial resolution. To deliver results with a higher spatial resolution and to produce a more detailed picture of agricultural production, the county-based agro-economic model known as ACRE-Danube was developed. The German and Austrian part of the Upper Danube basin, a study area with great diversity in agricultural landscapes and climatic conditions, was chosen for study. For the analysis, two scenarios of climatic and socio-economic change were derived. The first and more economically and globally oriented scenario, termed "Full Liberalization," included significant temperature increases. The second and more environmentally and regionally oriented "Full Protection" scenario included a moderate temperature increase. Both scenarios produce different results regarding agricultural income and land use. While the developments in the Full Protection scenario are small, the Full Liberalization scenario yields extreme regional changes in agricultural income, an increase in cereal production and extensive grassland farming.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach. / Henseler, Martin; Wirsig, Alexander; Herrmann, Sylvia et al.
in: Agricultural systems, Jahrgang 100, Nr. 1-3, 04.2009, S. 31-42.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Henseler M, Wirsig A, Herrmann S, Krimly T, Dabbert S. Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach. Agricultural systems. 2009 Apr;100(1-3):31-42. Epub 2009 Jan 20. doi: 10.1016/j.agsy.2008.12.002
Henseler, Martin ; Wirsig, Alexander ; Herrmann, Sylvia et al. / Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach. in: Agricultural systems. 2009 ; Jahrgang 100, Nr. 1-3. S. 31-42.
Download
@article{c40152d2f27a4020aff206be6b859868,
title = "Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach",
abstract = "Assessing the impact of climate change on agriculture is a new challenge for quantitative model-based policy analysis. The impact of climate change will vary strongly across regions depending on pre-existing climatic, agronomic, and political conditions. Most of the present modeling approaches, which aim to analyze the impact of global change on agriculture, deliver aggregated results both with regard to content and spatial resolution. To deliver results with a higher spatial resolution and to produce a more detailed picture of agricultural production, the county-based agro-economic model known as ACRE-Danube was developed. The German and Austrian part of the Upper Danube basin, a study area with great diversity in agricultural landscapes and climatic conditions, was chosen for study. For the analysis, two scenarios of climatic and socio-economic change were derived. The first and more economically and globally oriented scenario, termed {"}Full Liberalization,{"} included significant temperature increases. The second and more environmentally and regionally oriented {"}Full Protection{"} scenario included a moderate temperature increase. Both scenarios produce different results regarding agricultural income and land use. While the developments in the Full Protection scenario are small, the Full Liberalization scenario yields extreme regional changes in agricultural income, an increase in cereal production and extensive grassland farming.",
keywords = "Agricultural production, Global change, Global change scenarios, Regional optimization model",
author = "Martin Henseler and Alexander Wirsig and Sylvia Herrmann and Tatjana Krimly and Stephan Dabbert",
note = "Funding Information: GLOWA-Danube (Global Change in the Hydrological Cycle) is funded by the German Federal Ministry of Education and Research (BMBF): www.glowa-danube.de . Copyright: Copyright 2009 Elsevier B.V., All rights reserved.",
year = "2009",
month = apr,
doi = "10.1016/j.agsy.2008.12.002",
language = "English",
volume = "100",
pages = "31--42",
journal = "Agricultural systems",
issn = "0308-521X",
publisher = "Elsevier BV",
number = "1-3",

}

Download

TY - JOUR

T1 - Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach

AU - Henseler, Martin

AU - Wirsig, Alexander

AU - Herrmann, Sylvia

AU - Krimly, Tatjana

AU - Dabbert, Stephan

N1 - Funding Information: GLOWA-Danube (Global Change in the Hydrological Cycle) is funded by the German Federal Ministry of Education and Research (BMBF): www.glowa-danube.de . Copyright: Copyright 2009 Elsevier B.V., All rights reserved.

PY - 2009/4

Y1 - 2009/4

N2 - Assessing the impact of climate change on agriculture is a new challenge for quantitative model-based policy analysis. The impact of climate change will vary strongly across regions depending on pre-existing climatic, agronomic, and political conditions. Most of the present modeling approaches, which aim to analyze the impact of global change on agriculture, deliver aggregated results both with regard to content and spatial resolution. To deliver results with a higher spatial resolution and to produce a more detailed picture of agricultural production, the county-based agro-economic model known as ACRE-Danube was developed. The German and Austrian part of the Upper Danube basin, a study area with great diversity in agricultural landscapes and climatic conditions, was chosen for study. For the analysis, two scenarios of climatic and socio-economic change were derived. The first and more economically and globally oriented scenario, termed "Full Liberalization," included significant temperature increases. The second and more environmentally and regionally oriented "Full Protection" scenario included a moderate temperature increase. Both scenarios produce different results regarding agricultural income and land use. While the developments in the Full Protection scenario are small, the Full Liberalization scenario yields extreme regional changes in agricultural income, an increase in cereal production and extensive grassland farming.

AB - Assessing the impact of climate change on agriculture is a new challenge for quantitative model-based policy analysis. The impact of climate change will vary strongly across regions depending on pre-existing climatic, agronomic, and political conditions. Most of the present modeling approaches, which aim to analyze the impact of global change on agriculture, deliver aggregated results both with regard to content and spatial resolution. To deliver results with a higher spatial resolution and to produce a more detailed picture of agricultural production, the county-based agro-economic model known as ACRE-Danube was developed. The German and Austrian part of the Upper Danube basin, a study area with great diversity in agricultural landscapes and climatic conditions, was chosen for study. For the analysis, two scenarios of climatic and socio-economic change were derived. The first and more economically and globally oriented scenario, termed "Full Liberalization," included significant temperature increases. The second and more environmentally and regionally oriented "Full Protection" scenario included a moderate temperature increase. Both scenarios produce different results regarding agricultural income and land use. While the developments in the Full Protection scenario are small, the Full Liberalization scenario yields extreme regional changes in agricultural income, an increase in cereal production and extensive grassland farming.

KW - Agricultural production

KW - Global change

KW - Global change scenarios

KW - Regional optimization model

UR - http://www.scopus.com/inward/record.url?scp=63549133636&partnerID=8YFLogxK

U2 - 10.1016/j.agsy.2008.12.002

DO - 10.1016/j.agsy.2008.12.002

M3 - Article

AN - SCOPUS:63549133636

VL - 100

SP - 31

EP - 42

JO - Agricultural systems

JF - Agricultural systems

SN - 0308-521X

IS - 1-3

ER -