Vulnerability and adaptation of European farmers: a multi-level analysis of yield and income responses to climate variability

By Pytrik Reidsma, Frank Ewert, A. Oude Lansink, R. Leemans. 2009

127 citations recorded by the source corpus.

Climate change will affect crop yields and consequently farmers’ income. The underlying relationships are not well understood, particularly the importance of crop management and related factors at the farm and regional level. We analyze the impacts of trends and variability in climatic conditions from 1990 to 2003 on trends and variability in yields of five crops and farmers’ income at farm type and regional level in Europe considering farm characteristics and other factors. While Mediterranean regions are often characterized as most vulnerable to climate change, our data suggest effective adaptation to variable and changing conditions in these regions largely attributable to the characteristic farm types in these regions. We conclude that for projections of climate change impacts on agriculture, farm characteristics influencing management and adaptation should be considered, as they largely influence the potential impacts.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Soil Science

View Paper: https://www.semanticscholar.org/paper/a9905ee100b84f698509df07ccae52c8af30ee04

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

In Soil Science

Citations in the corpus

Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation. (2009, background): “As a result of this spatial heterogeneity in the determinants of yield, several studies show that crop models have difficulties in reproducing yields at multiple sites (Ewert et al., 1999; van Oijen and Ewert, 1999), farms (Ewert et al., 2002), and regions (Reidsma et al., 2009a).”
Drivers of changes in agricultural intensity in Europe (2016, methodology): “…across the EU15 between 1990 and 2003 with increasing economic size of farms (i.e., standard gross margins), increasing input application (e.g., fertiliser, irrigation), increasing share of arable land per utilised agricultural area, and increasing crop specialisation (Reidsma et al., 2009).”