Assessing the role of farm-level adaptation in limiting the local economic impacts of more frequent extreme weather events in Dutch arable farming systems

V. Diogo, P. Reidsma, B.F. Schaap, E. Koomen

Research output: Chapter in Book/Report/Conference proceedingAbstractAcademic

Abstract

The expected increase in extreme events frequency is likely to considerably affect future crop productivity. Appropriate adaptation measures in agricultural systems should be identified according to the main climate risks expected in a region and taking into account the role of decisions made at the farm level. Yet, there is limited understanding of the interplay between local production capabilities, regional climatic changes and more general socio-economic
conditions. We propose a method that combines local productivity factors, economic factors, crop-specific sensitivity to climatic extremes, and climate change scenarios, to assess future economic impacts of extreme events on agricultural systems. Our assessment is spatially explicit and uses discounted time series of cash flows taking into account expected impacts on yield and
crop quality, to estimate changes in the expected net present value of agricultural systems. We also assess the economic feasibility of a portfolio of adaptation measures by considering their initial investments, annual costs, and effectiveness in reducing crop damage. We apply the method to investigate potential economic impacts of extreme events in arable farming systems
in the Netherlands in period around 2050. We find that the expected increase in frequency can substantially undermine the economic viability of Dutch arable farming systems. The results indicate considerable differences among regions: some regions are severely impacted by all extremes, while others consistently demonstrate high resilience. Though the exact magnitude of the impacts remains highly uncertain, adaptation measures should nevertheless be regarded as no-regret strategies, since they alleviate both economic impacts and uncertainty around impact magnitude.
LanguageEnglish
Title of host publicationBook of abstracts
Subtitle of host publicationMACSUR2017 Scientific Conference, 22-24 May, 2017, Berlin
Pages63-63
Number of pages1
Publication statusPublished - 2017
EventMACSUR Science Conference 2017 - Humboldt Universität, Berlin, Germany
Duration: 22 May 201724 May 2017

Conference

ConferenceMACSUR Science Conference 2017
CountryGermany
CityBerlin
Period22/05/1724/05/17

Fingerprint

arable farming
economic impact
farming system
extreme event
farm
weather
factor productivity
crop damage
crop
climate change
economics
time series
productivity
climate
cost
method

Cite this

Diogo, V., Reidsma, P., Schaap, B. F., & Koomen, E. (2017). Assessing the role of farm-level adaptation in limiting the local economic impacts of more frequent extreme weather events in Dutch arable farming systems. In Book of abstracts: MACSUR2017 Scientific Conference, 22-24 May, 2017, Berlin (pp. 63-63)
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Diogo, V, Reidsma, P, Schaap, BF & Koomen, E 2017, Assessing the role of farm-level adaptation in limiting the local economic impacts of more frequent extreme weather events in Dutch arable farming systems. in Book of abstracts: MACSUR2017 Scientific Conference, 22-24 May, 2017, Berlin. pp. 63-63, MACSUR Science Conference 2017, Berlin, Germany, 22/05/17.

Assessing the role of farm-level adaptation in limiting the local economic impacts of more frequent extreme weather events in Dutch arable farming systems. / Diogo, V.; Reidsma, P.; Schaap, B.F.; Koomen, E.

Book of abstracts: MACSUR2017 Scientific Conference, 22-24 May, 2017, Berlin. 2017. p. 63-63.

Research output: Chapter in Book/Report/Conference proceedingAbstractAcademic

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