000253157 001__ 253157
000253157 005__ 20170829135234.0
000253157 0247_ $$2Other$$aISSN 0002-1121
000253157 037__ $$a670-2016-45987
000253157 037__ $$a670-2016-46408
000253157 041__ $$aen_US
000253157 245__ $$aIntegrated Analysis of Climate Change Impacts and Adaptation Measures in Austrian Agriculture
000253157 246__ $$aIntegrierte Analyse von Klimawandelauswirkungen und Anpassungsmaßnahmen in der österreichischen Landwirtschaft
000253157 260__ $$c2014-09
000253157 269__ $$a2014-09
000253157 300__ $$a21
000253157 336__ $$aJournal Article
000253157 490__ $$aGJAE 63 (2014)
000253157 490__ $$a3: The Economics of European Agriculture under Conditions of Climate Change
000253157 520__ $$aAn integrated modelling framework (IMF) has been
developed and applied to analyse climate change impacts
and the effectiveness of adaptation measures in
Austrian agriculture. The IMF couples the crop rotation
model CropRota, the bio-physical process model
EPIC and the bottom-up economic land use model
PASMA at regional level (NUTS-3) considering agrienvironmental
indicators. Four contrasting regional
climate model (RCM) simulations represent climate
change until 2050. The RCM simulations are applied
to a baseline and three adaptation and policy scenarios.
Climate change increases crop productivity on national
average in the IMF. Changes in average gross
margins at national level range from 0% to +5% between
the baseline and the three adaptation and policy
scenarios. The impacts at NUTS-3 level range from
-5% to +7% between the baseline and the three adaptation
and policy scenarios. Adaptation measures
such as planting of winter cover crops, reduced tillage
and irrigation are effective in reducing yield losses,
increasing revenues, or in improving environmental
states under climate change. Future research should
account for extreme weather events in order to analyse
whether average productivity gains at the aggregated
level suffice to cover costs from expected higher
climate variability.   Anhand eines integrativen Modellverbundes werden
die Auswirkungen des Klimawandels auf die österreichische
Landwirtschaft und die Effektivität von
Anpassungsmaßnahmen untersucht. Grundlage der
Szenarienanalyse sind vier kontrastierende regionale
Klimasimulationen, angewandt auf ein Baselineszenario
und drei Anpassungs- und Politikszenarien
bis 2050. Der integrative Modellverbund koppelt das
Fruchtfolgemodell CropRota, das bio-physikalische
Prozessmodell EPIC mit dem ökonomischen Landnutzungsmodell
PASMA, berücksichtigt Agrarumweltindikatoren
und wird auf NUTS-3-Ebene angewandt.
Die Klimasimulationen lassen im nationalen Durchschnitt
auf Produktivitätssteigerungen in der Pflanzenproduktion
schließen. Im Vergleich zur Baseline
steigen die durchschnittlichen nationalen Deckungsbeiträge
je nach Klimasimulation und Anpassungsund
Politikszenario um 0% bis +5%. Auf NUTS-
3-Ebene ergibt sich aufgrund standörtlicher Unterschiede
(z.B. Klimawandel, Landnutzung, naturräumliche
Gegebenheiten) ein differenzierteres Bild mit
Änderungen zwischen -5% und +7%. Der Zwischenfruchtanbau,
die reduzierte Bodenbearbeitung und
die Bewässerung sind effektive Anpassungsmaßnahmen,
die zur Verringerung von Ertragseinbußen,
Steigerungen von Erlösen oder zur Verbesserung
der Umweltsituation beitragen. Weiterführende Forschungsarbeiten
sollten vermehrt auf die Auswirkungen
von Extremereignissen in der Landwirtschaft
eingehen und klären, ob die durchschnittlichen Produktivitätssteigerungen
ausreichen, die Kosten einer
erwarteten höheren Wettervariabilität zu kompensieren.
000253157 542__ $$fLicense granted by Kerstin Oertel (k.oertel@agrar.hu-berlin.de) on 2017-02-03T14:17:38Z (GMT):

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000253157 650__ $$aAgricultural and Food Policy
000253157 650__ $$aEnvironmental Economics and Policy
000253157 650__ $$aFarm Management
000253157 650__ $$aLand Economics/Use
000253157 6531_ $$aland use
000253157 6531_ $$amodelling
000253157 6531_ $$aclimate change impact
000253157 6531_ $$aadaptation
000253157 6531_ $$aintegrated analysis
000253157 6531_ $$aEPIC
000253157 6531_ $$aPASMA
000253157 6531_ $$aLandnutzung
000253157 6531_ $$aModellierung
000253157 6531_ $$aKlimawandeleffekte
000253157 6531_ $$aAnpassung
000253157 6531_ $$aintegrative Analyse
000253157 700__ $$aSchönhart, Martin
000253157 700__ $$aMitter, Hermine
000253157 700__ $$aSchmid, Erwin
000253157 700__ $$aHeinrich, Georg
000253157 700__ $$aGobiet, Andreas
000253157 720__ $$aBanse,   Martin$$eeditor
000253157 720__ $$aBrouwer,   Floor$$eeditor
000253157 720__ $$aPalatnik,   Ruslana Rachel$$eeditor
000253157 720__ $$aSinabell,   Franz$$eeditor
000253157 773__ $$d2014$$jVolume 63$$kNumber 3$$o176$$q156$$tGerman Journal of Agricultural Economics
000253157 8564_ $$s1418727$$uhttp://ageconsearch.umn.edu/record/253157/files/4_Schoenhart.pdf
000253157 887__ $$ahttp://purl.umn.edu/253157
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  Previous issue date: 2014-09
000253157 982__ $$gGerman Journal of Agricultural Economics>Volume 63, Number 3, 2014
000253157 980__ $$a670